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Keywords = plastic optical fiber (POF)

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18 pages, 1548 KiB  
Article
An Optical Device Based on a Chemical Chip and Surface Plasmon Platform for 2-Furaldehyde Detection in Insulating Oil
by Letizia De Maria, Francesco Arcadio, Giuseppe Gabetta, Daniele Merli, Giancarla Alberti, Luigi Zeni, Nunzio Cennamo and Maria Pesavento
Sensors 2024, 24(16), 5261; https://doi.org/10.3390/s24165261 - 14 Aug 2024
Abstract
2-Furaldehyde (2-FAL) is one of the main by-products of the degradation of hemicellulose, which is the solid material of the oil–paper insulating system of oil-filled transformers. For this reason, it has been suggested as a marker of the degradation of the insulating system; [...] Read more.
2-Furaldehyde (2-FAL) is one of the main by-products of the degradation of hemicellulose, which is the solid material of the oil–paper insulating system of oil-filled transformers. For this reason, it has been suggested as a marker of the degradation of the insulating system; sensing devices for 2-FAL analysis in a wide concentration range are of high interest in these systems. An optical sensor system is proposed; this consists of a chemical chip, able to capture 2-FAL from the insulating oil, coupled with a surface plasmon resonance (SPR) probe, both realized on multimode plastic optical fibers (POFs). The SPR platform exploits gold nanofilm or, alternatively, a double layer of gold and silicon oxide to modulate the sensor sensitivity. The capturing chip is always based on the same molecularly imprinted polymer (MIP) as a receptor specific for 2-FAL. The system with the SPR probe based on a gold nanolayer had a higher sensitivity and a lower detection limit of fractions of μg L−1. Instead, the SPR probe, based on a double layer (gold and silicon oxide), has a lower sensitivity with a worse detection limit, and it is suitable for the detection of 2-FAL at concentrations of 0.01 mg L−1–1 mg L−1. Full article
12 pages, 2991 KiB  
Article
An Efficient Bio-Receptor Layer Combined with a Plasmonic Plastic Optical Fiber Probe for Cortisol Detection in Saliva
by Francesco Arcadio, Mimimorena Seggio, Rosalba Pitruzzella, Luigi Zeni, Alessandra Maria Bossi and Nunzio Cennamo
Biosensors 2024, 14(7), 351; https://doi.org/10.3390/bios14070351 - 19 Jul 2024
Viewed by 588
Abstract
Cortisol is a clinically validated stress biomarker that takes part in many physiological and psychological functions related to the body’s response to stress factors. In particular, it has emerged as a pivotal tool for understanding stress levels and overall well-being. Usually, in clinics, [...] Read more.
Cortisol is a clinically validated stress biomarker that takes part in many physiological and psychological functions related to the body’s response to stress factors. In particular, it has emerged as a pivotal tool for understanding stress levels and overall well-being. Usually, in clinics, cortisol levels are monitored in blood or urine, but significant changes are also registered in sweat and saliva. In this work, a surface plasmon resonance probe based on a D-shaped plastic optical fiber was functionalized with a glucocorticoid receptor exploited as a highly efficient bioreceptor specific to cortisol. The developed plastic optical fiber biosensor was tested for cortisol detection in buffer and artificial saliva. The biosensor response showed very good selectivity towards other hormones and a detection limit of about 59 fM and 96 fM in phosphate saline buffer and artificial saliva, respectively. The obtained detection limit, with a rapid detection time (about 5 min) and a low-cost sensor system, paved the way for determining the cortisol concentration in saliva samples without any extraction process or sample pretreatment via a point-of-care test. Full article
(This article belongs to the Special Issue Plasmonic Biosensors for Biomedical Applications)
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Figure 1
<p>Scheme of the experimental setup employed to test the GR-SPR-POF biosensor.</p>
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<p>(<b>A</b>) Scheme of the functionalization protocol used. (<b>B</b>) SPR spectra attained by using PBS as bulk solution after each step of the immobilization procedure. (<b>C</b>) Variation in resonance wavelength (Δ<span class="html-italic">λ</span>) computed with respect to the SPR wavelength obtained on the non-functionalized chip.</p>
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<p>GR–cortisol binding tests in PBS. (<b>A</b>) SPR spectra, smoothed and translated along the y-axis direction, obtained in PBS at increasing cortisol concentrations. (<b>B</b>) Result of the signal processing performed to determine the resonance wavelengths useful to obtain the dose–response curve in PBS.</p>
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<p>GR–cortisol binding test in artificial saliva diluted 1:50 with PBS. (<b>A</b>) SPR spectra obtained in diluted artificial saliva at increasing cortisol concentrations. (<b>B</b>) Result of the signal processing performed to determine the resonance wavelength useful to obtain the dose–response curve in artificial saliva (diluted 1:50).</p>
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<p>Dose–response curves obtained through cortisol monitoring in (<b>A</b>) PBS and (<b>B</b>) artificial saliva diluted 1:50. The Δ<span class="html-italic">λ</span> absolute values (computed in relation to the blank) as a function of increasing cortisol concentrations on the GR-SPR-POF platform are reported in a semi-log scale, along with Langmuir fitting of the experimental data.</p>
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<p>(<b>A</b>) Resonance wavelength variation for the structural analogues of cortisol (estradiol 100 pM and progesterone 100 pM) and cortisol (10 pM). One-way ANOVA * <span class="html-italic">p</span> &lt; 0.01 vs. estradiol and <sup>#</sup> <span class="html-italic">p</span> &lt; 0.01 vs. progesterone. (<b>B</b>) Comparison between the resonance wavelength variation achieved by a solution with cortisol only (10 pM) and with cortisol pooled in a mixture with progesterone and estradiol, each of which was considered at a concentration of 10 pM.</p>
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13 pages, 3119 KiB  
Article
Plasmonic Optical Fiber Sensors and Molecularly Imprinted Polymers for Glyphosate Detection at an Ultra-Wide Range
by Luca Pasquale Renzullo, Ines Tavoletta, Giancarla Alberti, Luigi Zeni, Maria Pesavento and Nunzio Cennamo
Chemosensors 2024, 12(7), 142; https://doi.org/10.3390/chemosensors12070142 - 17 Jul 2024
Viewed by 617
Abstract
In this study, a surface plasmon resonance (SPR) sensor based on modified plastic optical fibers (POFs) was combined with a specific molecularly imprinted polymer (MIP), used as a synthetic receptor, for glyphosate (GLY) determination in aqueous solutions. Since GLY is a non-selective herbicide [...] Read more.
In this study, a surface plasmon resonance (SPR) sensor based on modified plastic optical fibers (POFs) was combined with a specific molecularly imprinted polymer (MIP), used as a synthetic receptor, for glyphosate (GLY) determination in aqueous solutions. Since GLY is a non-selective herbicide associated with severe environmental and health problems, detecting glyphosate in environmental and biological samples remains challenging. The selective interaction between the MIP layer and GLY is monitored by exploiting the SPR phenomenon at the POF’s gold surface. Experimental results show that in about ten minutes and by dropping microliter volume samples, the presented optical–chemical sensor can quantify up to three orders of magnitude of GLY concentrations, from nanomolar to micromolar, due to a thin MIP layer over the SPR surface. The developed optical–chemical sensor presents a detection limit of about 1 nM and can be used for onsite GLY measurements. Moreover, the experimental analysis demonstrated the high selectivity of the proposed POF-based chemical sensor. Full article
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Figure 1
<p>SPR–POF–MIP sensor. Top-view of the sensor: before (<b>a</b>) and after (<b>b</b>) the MIP layer deposition. (<b>c</b>) Cross-section view of sensor outline.</p>
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<p>Experimental setup used for testing the SPR–POF–MIP/NIP platforms.</p>
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<p>SPR spectra of the optical–chemical sensor: (<b>a</b>) SPR spectra of the bare surface (in blue) and the MIP thin layer (in red) in water; (<b>b</b>) SPR spectra of the SPR–POF–MIP sensor obtained at different concentrations of GLY in aqueous solutions.</p>
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<p>Dose-response curve of the GLY detection in water: resonance wavelength variation with respect to the blank (∆λ) versus the GLY concentration, together with a Bi-Langmuir fitting of the experimental values and the error bars.</p>
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<p>Sensor response at low GLY concentrations: (<b>a</b>) Experimental values from 0 to 0.007 µM; (<b>b</b>) resonance wavelength variation versus GLY concentration (at low concentrations) together with the linear fitting of the data (y fitting equation) and the error bars.</p>
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<p>Comparison between the resonance wavelength variation of three herbicides (MCPA, BTZ, and ATZ) with a concentration of 1.2 μM and GLY with a concentration of 0.1 μM.</p>
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<p>SPR spectra obtained via an SPR–POF platform covered by an NIP layer at different GLY concentrations in water (0.001–0.2 μM).</p>
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12 pages, 2129 KiB  
Communication
Splitter-Based Sensors Realized via POFs Coupled by a Micro-Trench Filled with a Molecularly Imprinted Polymer
by Ines Tavoletta, Francesco Arcadio, Luca Pasquale Renzullo, Giuseppe Oliva, Domenico Del Prete, Debora Verolla, Chiara Marzano, Giancarla Alberti, Maria Pesavento, Luigi Zeni and Nunzio Cennamo
Sensors 2024, 24(12), 3928; https://doi.org/10.3390/s24123928 - 17 Jun 2024
Cited by 1 | Viewed by 489
Abstract
An optical–chemical sensor based on two modified plastic optical fibers (POFs) and a molecularly imprinted polymer (MIP) is realized and tested for the detection of 2-furaldehyde (2-FAL). The 2-FAL measurement is a scientific topic of great interest in different application fields, such as [...] Read more.
An optical–chemical sensor based on two modified plastic optical fibers (POFs) and a molecularly imprinted polymer (MIP) is realized and tested for the detection of 2-furaldehyde (2-FAL). The 2-FAL measurement is a scientific topic of great interest in different application fields, such as human health and life status monitoring in power transformers. The proposed sensor is realized by using two POFs as segmented waveguides (SW) coupled through a micro-trench milled between the fibers and then filled with a specific MIP for the 2-FAL detection. The experimental results show that the developed intensity-based sensor system is highly selective and sensitive to 2-FAL detection in aqueous solutions, with a limit of detection of about 0.04 mg L−1. The proposed sensing approach is simple and low-cost, and it shows performance comparable to that of plasmonic MIP-based sensors present in the literature for 2-FAL detection. Full article
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Figure 1
<p>Experimental setup used to test the optical–chemical sensor based on two POFs coupled with a micro-trench filled with an MIP.</p>
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<p>Fabrication process outline of the proposed optical–chemical sensor: (<b>a</b>) The POFs fixed in the trench of the resin block; (<b>b</b>) zoomed-in image of the trench made with a CNC machine; (<b>c</b>) focus on the MIP prepolymeric mixture dropped into the micro-trench; (<b>d</b>) MIP polymerization and template extraction processes.</p>
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<p>Experimental values (black markers) of the normalized signal <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Y</mi> </mrow> <mrow> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> versus 2-FAL concentration for two different wavelengths, together with Langmuir fitting (solid lines) and error bars.</p>
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<p>Selectivity test: <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Y</mi> </mrow> <mrow> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math> variation for 5-HMF at 100 mg L<sup>−1</sup> and 2-FAL at 10 mg L<sup>−1</sup>.</p>
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<p>Outline of the cross-sections of the two equivalent MIP-based POF sensors. The conventional SPR–POF–MIP is depicted on the left, whereas the splitter-based sensor is depicted on the right.</p>
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23 pages, 24886 KiB  
Article
Corrosion Monitoring by Plastic Optic Fiber Sensor Using Bi-Directional Light Transmission
by Liang Hou and Shinichi Akutagawa
Sensors 2024, 24(10), 3229; https://doi.org/10.3390/s24103229 - 19 May 2024
Cited by 1 | Viewed by 579
Abstract
In this paper, a new sensor is proposed to efficiently gather crucial information on corrosion phenomena and their progression within steel components. Fabricated with plastic optical fibers (POF), the sensor can detect corrosion-induced physical changes in the appearance of monitoring points within the [...] Read more.
In this paper, a new sensor is proposed to efficiently gather crucial information on corrosion phenomena and their progression within steel components. Fabricated with plastic optical fibers (POF), the sensor can detect corrosion-induced physical changes in the appearance of monitoring points within the steel material. Additionally, the new sensor incorporates an innovative structure that efficiently utilizes bi-directional optical transmission in the POF, simplifying the installation procedure and reducing the total cost of the POF cables by as much as 50% when monitoring multiple points. Furthermore, an extremely compact dummy sensor with the length of 5 mm and a diameter of 2.2 mm for corrosion-depth detection was introduced, and its functionality was validated through experiments. This paper outlines the concept and fundamental structure of the proposed sensor; analyzes the results of various experiments; and discusses its effectiveness, prospects, and economic advantages. Full article
(This article belongs to the Special Issue Specialty Optical Fiber-Based Sensors)
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Figure 1
<p>Scenario exhibiting corrosion process in a steel plate.</p>
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<p>Image of new POF sensor using bi-directional transmission of light.</p>
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<p>Structure of new POF sensor.</p>
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<p>Light flow from light source to sensor plane, including scattered light by joint plane moving leftward in SUB-2.</p>
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<p>Light movement at tip of sensor. Note that the thickness of material <span class="html-italic">A</span> is exaggerated for the sake of visual explanation.</p>
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<p>Various light paths returning from sensor plane.</p>
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<p>Main, SUB-1, and SUB-2 sections of sensor.</p>
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<p>Dimensions of POF cables used to construct R2S sensor (Unit: mm). Note that some blue light was sent into these POFs for photo-taking.</p>
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<p>Assembly stages for R2S sensor. (<b>a</b>) POF cables and pipes before assemblage, (<b>b</b>) after SUB-1 and SUB-2 are set in Pipe A, (<b>c</b>) cross-section of Pipe A, and (<b>d</b>) completed connection.</p>
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<p>Illustration of longitudinal cross-section of R2S sensor.</p>
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<p>Typical layout of experimental setup for corrosion monitoring by R2S sensor.</p>
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<p>Layout of preliminary experiment. (<b>a</b>) Overall layout of preliminary experiment, and (<b>b</b>) R2S sensor and steel plate with vinyl tapes of different colors.</p>
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<p>Images of light confirmed by SUB-2 fibers.</p>
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<p>Basic features of graphic application software. (<b>a</b>) Multiple POF sensors captured in each cell defined on screen of smartphone (image); and (<b>b</b>) definition of target square housing one POF sensor, for which average values of <span class="html-italic">R</span>, <span class="html-italic">G</span>, and <span class="html-italic">B</span> are calculated.</p>
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<p>Step of sensing test. (<b>a</b>) Sequence of actions taken to check fundamental performance of R2S sensor, and (<b>b</b>) photographic images of fundamental experiment.</p>
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<p>Light intensities recorded in Fibers 1 to 6 during fundamental experiment.</p>
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<p>Experimental apparatus. (<b>a</b>) Gray tone target paper, and (<b>b</b>) overall layout of experimental apparatus.</p>
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<p>Light intensities recorded during fundamental experiment.</p>
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<p>Strategy for corrosion test.</p>
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<p>Details of 5 mm thick plate used for corrosion test.</p>
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<p>Overall layout of experimental apparatus. (1) Box containing LED light source. (2) Steel plate. (3) Box containing SUB-2 cables from R2S sensors. (4) Direct current control unit. (5) Stainless-steel plate. (6) USB camera used to observe open holes. (7) Mobile phone for graphic image analysis.</p>
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<p>Box design for light source and image recording. (<b>a</b>) Typical setup for LED light source box and SUB-1 fibers, and (<b>b</b>) typical setup for SUB-2 fibers and USB camera sending visual images to mobile phone.</p>
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<p>Images recorded at observation holes, showing progress of corrosion.</p>
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<p>Light intensities recorded for all R2S sensors.</p>
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<p>Expanded view of light intensities recorded for 1 mm-1 and 1 mm-2.</p>
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<p>Relationship between averaged time of first corrosion zone arrival and corrosion thickness.</p>
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<p>Screenshot images of light observed for R2S sensors during test.</p>
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<p>Crafted steel rods used for dummy sensor.</p>
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<p>Side view of dummy specimen.</p>
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<p>Assembly steps for dummy sensor. (<b>a</b>) POF before insertion into dummy sensor, and (<b>b</b>) dummy sensor with POF already inserted.</p>
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<p>Fundamental strategy for corrosion test.</p>
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<p>Magnified image of immersed area.</p>
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<p>Overall layout of dummy corrosion test.</p>
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<p>Images recorded by cameras. (<b>a</b>) DS-0.2-B recorded by Camera 1, and (<b>b</b>) DS-0.4-B recorded by Camera 2.</p>
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<p>Light intensities recorded for R2S sensor installed in DS-A.</p>
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<p>Light intensities recorded for R2S sensor installed in DS-B.</p>
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<p>Screenshot images of light observed for R2S sensors during Case 1.</p>
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<p>Screenshot images of light observed for R7 sensors during Case 2.</p>
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18 pages, 12627 KiB  
Article
Coupling of Modes in Step-Index Plastic Optical Fibers by Using D-Shape Technique
by Cláudio Márcio F. Silva, Gefeson M. Pacheco, Jognes Panasiewicz and Luis A. Rabanal Ramirez
Sensors 2024, 24(9), 2707; https://doi.org/10.3390/s24092707 - 24 Apr 2024
Viewed by 643
Abstract
This article presents a technique for reducing the stabilization length of steady-state modes in step-index plastic optical fibers (POFs), which is significant for sensor networks, Internet of Things, signal processing, and data fusion in sensor systems. The results obtained with the com- putational [...] Read more.
This article presents a technique for reducing the stabilization length of steady-state modes in step-index plastic optical fibers (POFs), which is significant for sensor networks, Internet of Things, signal processing, and data fusion in sensor systems. The results obtained with the com- putational tool developed suggest that the D-shape created in the POF effectively reduces the stabi- lization length of the modes and, by extension, minimizes the dispersion effects of the modes by filtering out high-order modes. Applying the analysis to commercial POFs, the authors experimen- tally verified a reduction in the stabilization length of modes from 27 to 10 m and from 20 m to 5 m. Reducing the mode stabilization length minimizes the bit error rate (BER) in short-length SI-POF- based optical links operating at 250 Mbp/s. A reduction from 7.6 × 10−7 to 3.7 × 10−10 was achieved. Full article
(This article belongs to the Section Optical Sensors)
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Figure 1
<p>Output POF stretch for different conditions. MRS is Manual Rotation System goniometer, θi is light input POF angle, and θo is light output POF angle. (<b>a</b>) Angular light power distribution with POF length shorter than Zs length for θi varying inside interval −20° to +20°. (<b>b</b>) Angular output light power distribution with POF length longer than Zs for θi equal to any angle in interval −20° to +20°.</p>
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<p>A schematic diagram of the D-shape in POF.</p>
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<p>Screenshots of the application developed. (<b>a</b>) The simulation result with a single POF length and four different angles of light entering the POF; (<b>b</b>) simulation with a single angle of light entering the POF and four different POF lengths.</p>
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<p>The device for creating the D-shape in POFs. (<b>a</b>) The D-shaped insertion device, (<b>b1</b>) a side view of the device for creating the D-shape in a 1 mm diameter POF, and (<b>b2</b>) a side view of the device for creating the D-shape in a 0.75 mm diameter POF. (<b>c</b>) A POF with a D-shape. (<b>d</b>) A POF accommodated in the steel device.</p>
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<p>(<b>a</b>) A block diagram of the setup for measuring angular light power distribution using MRS, and (<b>b</b>) an image of the setup in the laboratory.</p>
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<p>Output light power distribution for the ESKA SK40 POF for various input angles without using D-shape (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ○ = +−5°, and * = 0°).</p>
Full article ">Figure 6 Cont.
<p>Output light power distribution for the ESKA SK40 POF for various input angles without using D-shape (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ○ = +−5°, and * = 0°).</p>
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<p>Output light power distribution for the ESKA SK40 POF for various input angles and z = 10 m with a D shape (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ο = +−5°, and ∗ = 0°).</p>
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<p>Output light power distribution of the ESKA CK30 POF for various POF input angles and z lengths, obtained experimentally without using D-shape (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ο = +−5°, and ∗ = 0°).</p>
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<p>Output light power distribution for the ESKA CK30 POF for various input angles and z = 10 m using the D shape, obtained experimentally (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ο = +−5°, and ∗ = 0°).</p>
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<p>Normalized output light power distribution for the ESKA CK30 POF for various input angles and z = 5 m using the D shape, obtained experimentally (☆ = +−20°, ◊ = +−15°, Δ = +−10°, ο = +−5°, and ∗ = 0°).</p>
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<p>(<b>a</b>) Image of setup for BER evaluation. (<b>b</b>) Ber analyzer and Firecomms evaluation connection diagram.</p>
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<p>Comparative Evaluation of Bit Error Rate (BER) at a 250 Mbps Transmission Rate over a 10-m CK30 POF. (<b>a</b>) depicts the BER measurement without the D-shape insert, while (<b>b</b>) demonstrates the BER measurement with the D-shape insert, highlighting the impact of the insert on transmission quality.</p>
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13 pages, 4162 KiB  
Article
Development of an Immunocapture-Based Polymeric Optical Fiber Sensor for Bacterial Detection in Water
by Rafaela Nascimento Lopes, Paulo Henrique Silva Pinto, Juan David Lopez Vargas, Alex Dante, Andrew Macrae, Regina Célia Barros Allil and Marcelo Martins Werneck
Polymers 2024, 16(6), 861; https://doi.org/10.3390/polym16060861 - 21 Mar 2024
Cited by 2 | Viewed by 1401
Abstract
Conventional methods for pathogen detection in water rely on time-consuming enrichment steps followed by biochemical identification strategies, which require assay times ranging from 24 hours to a week. However, in recent years, significant efforts have been made to develop biosensing technologies enabling rapid [...] Read more.
Conventional methods for pathogen detection in water rely on time-consuming enrichment steps followed by biochemical identification strategies, which require assay times ranging from 24 hours to a week. However, in recent years, significant efforts have been made to develop biosensing technologies enabling rapid and close-to-real-time detection of waterborne pathogens. In previous studies, we developed a plastic optical fiber (POF) immunosensor using an optoelectronic configuration consisting of a U-Shape probe connected to an LED and a photodetector. Bacterial detection was evaluated with the immunosensor immersed in a bacterial suspension in water with a known concentration. Here, we report on the sensitivity of a new optoelectronic configuration consisting of two POF U-shaped probes, one as the reference and the other as the immunosensor, for the detection of Escherichia coli. In addition, another methos of detection was tested where the sensors were calibrated in the air, before being immersed in a bacterial suspension and then read in the air. This modification improved sensor sensitivity and resulted in a faster detection time. After the immunocapture, the sensors were DAPI-stained and submitted to confocal microscopy. The histograms obtained confirmed that the responses of the immunosensors were due to the bacteria. This new sensor detected the presence of E. coli at 104 CFU/mL in less than 20 min. Currently, sub-20 min is faster than previous studies using fiber-optic based biosensors. We report on an inexpensive and faster detection technology when compared with conventional methods. Full article
(This article belongs to the Special Issue Polymeric Biosensors: Fabrication, Characterization, and Applications)
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Figure 1
<p>Schematic diagram of the sensing system. A CPU controls the LED output power that is coupled into the POF U-Shape. The light is guided by the fiber to the photodetector, and the output returns to the microcontroller. The fiber surface is functionalized with a specific antibody that performs the immunocapture process specifically for <span class="html-italic">E. coli</span>.</p>
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<p>Optoelectronic setup developed for the immunosensor for sensing, signal acquisition, and conditioning.</p>
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<p>Front panel view of the software showing the response of one U-Shape sensor when immersed in water with different refractive indices (1.33, 1.35, 1.36, 1.37, 1.38, znd 1.39). The idea of this test was to check the stability and repeatability of the measurements.</p>
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<p>Measurement procedure for bacteria detection.</p>
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<p>The results normalized in arbitrary units (a.u.) of the four sensors in the detection of <span class="html-italic">E. coli</span> in the bacterial suspension of 10<sup>8</sup> CFU/mL.</p>
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<p>The results normalized in arbitrary units (a.u.) of the four sensors in the detection of <span class="html-italic">E. coli</span> in the bacterial suspension of 10<sup>4</sup> CFU/mL.</p>
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<p>Results (in normalized arbitrary units) of the simulation test with two U-Shape sensors, an uncladded POF as a reference and a conventional pristine cladded POF simulating the immunosensor after bacteria adhesion. The cladded fiber increased its guiding capability more than the uncladded fiber due to the air outside the cladding, and therefore showed a higher output power than the uncladded fiber.</p>
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<p>(<b>Left</b>) Micrograph of a 3D reconstruction of the DAPI-labeled POF immunosensor after 10 min in the bacterial suspension of 10<sup>8</sup> CFU/mL. The inserted square represents the area of 1.6 × 10<sup>5</sup> µm<sup>2</sup> at 10x magnification, submitted to the evaluation of fluorescence intensity. (<b>Right</b>) Graph of the fluorescence intensity distribution of the evaluated area.</p>
Full article ">Figure 9
<p>(<b>Left</b>) Micrograph of a 3D reconstruction of the DAPI-labeled POF immunosensor after 10 min in the bacterial suspension of 10<sup>4</sup> CFU/mL. The inserted square represents the area of 1.6 × 10<sup>5</sup> µm<sup>2</sup> at 10x magnification, submitted to the evaluation of fluorescence intensity. (<b>Right</b>) Graph of the fluorescence intensity distribution of the evaluated area.</p>
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<p>Selectivity tests of Sensor 1 with <span class="html-italic">Enterobacter cloacae</span>, <span class="html-italic">Salmonella typhimurium</span>, and <span class="html-italic">Bacillus subtilis</span>, all at a concentration of 10<sup>8</sup> CFU/mL, showing that the antibody used is insensitive to these bacteria.</p>
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29 pages, 13558 KiB  
Article
Experimental Investigation for Monitoring Corrosion Using Plastic Optical Fiber Sensors
by Liang Hou, Shinichi Akutagawa, Yuki Tomoshige and Takashi Kimura
Sensors 2024, 24(3), 885; https://doi.org/10.3390/s24030885 - 29 Jan 2024
Cited by 1 | Viewed by 804
Abstract
The timely and cost-effective identification of the onset of corrosion and its progress would be critical for effectively maintaining structural integrity. Consequently, a series of fundamental experiments were conducted to capture the corrosion process on a steel plate using a new type of [...] Read more.
The timely and cost-effective identification of the onset of corrosion and its progress would be critical for effectively maintaining structural integrity. Consequently, a series of fundamental experiments were conducted to capture the corrosion process on a steel plate using a new type of plastic optical fiber (POF) sensor. Electrolytic corrosion experiments were performed on a 5 mm thick steel plate immersed in an aqueous solution. The POF sensor installed on the upper side of the plate and directed downward detected the upward progression of the corrosion zone that formed on the underside of the plate. The results showed that the POF sensors could detect the onset of the upward-progressing corrosion front as it passed the 1 and 2 mm marks related to the thickness of the corroded zone. The POF sensors were designed to optically identify corrosion; therefore, the data obtained by these sensors could be processed using a newly developed graphic application software for smartphones and also identified by the naked eye. This method offered an easy and cost-effective solution for verifying the corrosion state of structural components. Full article
(This article belongs to the Special Issue Specialty Optical Fiber-Based Sensors)
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<p>Cross section of a POF cable and a POF cutter: (<b>a</b>) Cross section of a POF cable taken from various angles; (<b>b</b>) A compact POF cutter (Model E39-F4 produced by OMRON). After inserting a POF cable into a hole, the blade can be pressed down to cut it.</p>
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<p>Size comparison of illuminated zones with respect to the vertical distance between the scale sheet and the tip of POF with a length of 1.5 m.</p>
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<p>Identification of the illuminated and observed zones with respect to paths of light: (<b>a</b>) Paths of light exiting the POF; (<b>b</b>) Paths of light entering the POF.</p>
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<p>R2 sensor comprising two POF cables with a length of 1.5 m.</p>
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<p>R2 sensor and a steel plate with vinyl tapes of different colors.</p>
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<p>Images of light captured by Fiber 2.</p>
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<p>Basic features of the graphic application software: (<b>a</b>) Multiple POF sensors captured using a smartphone (an image) where each POF was housed in one of the cells in the square grid of cells; (<b>b</b>) Definition of the target square for which average values of <span class="html-italic">R</span>, <span class="html-italic">G</span>, and <span class="html-italic">B</span> were calculated.</p>
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<p>A typical layout of an experimental setup for corrosion monitoring by R2 sensor.</p>
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<p>Experimental apparatus used to examine the optimal distance from the R2 sensor to a steel plate: (<b>a</b>) Experimental layout: (1) Light-emitting diode (LED) light. (2) R2 sensor. (3) Steel plate. (4) USB camera (AS ONE Corporation, USB Digital Microscope SDM200). (5) Smartphone with the graphic application software. (6) Three-dimensional stage; (<b>b</b>) Enhanced view of the R2 sensor and the steel plate.</p>
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<p>Light intensity recorded as the distance <span class="html-italic">d</span> was varied.</p>
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<p>Scenario exhibiting the corrosion process in a steel plate: (<b>a</b>) Initial condition; (<b>b</b>) Scattered zones of corrosion on the lower surface; (<b>c</b>) Completion of corrosion across the lower surface; (<b>d</b>) Progress of the corrosion front in the upward direction.</p>
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<p>Various light paths associated with corrosion monitoring through two layers of adhesive materials.</p>
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<p>A comparison of two different strategies in the use of light emitting POF depicted by an orange color: (<b>a</b>) A strategy of having a light emitting POF in each R2 sensor; (<b>b</b>) A strategy for sharing a light emitting POF by multiple POFs.</p>
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<p>Structure of the R7 sensor: (<b>a</b>) Seven POF cables with a length of 2.5 m and a plastic pipe; (<b>b</b>) Assembled form before injecting adhesive A.</p>
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<p>Structure and installation image of the R7 sensor: (<b>a</b>) Cross section; (<b>b</b>) Vertical cross section of the R7 sensor.</p>
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<p>R7 sensor before and after transmitting light through Fiber 0: (<b>a</b>) R7 sensor before sending light into Fiber 0; (<b>b</b>) Zone illuminated by Fiber 0.</p>
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<p>Zones illuminated by Fibers 1 to 6.</p>
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<p>Observation zones for Fibers 1 to 6.</p>
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<p>Sequence of actions performed to check the fundamental performance of the R7 sensor.</p>
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<p>Photographic images of the fundamental experiment.</p>
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<p>Light intensities recorded by Fibers 1 to 6 in the fundamental experiment.</p>
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<p>Fundamental strategy for the corrosion test.</p>
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<p>Steel plate used for the corrosion test with 6 holes for either POF sensor installation or direct visual observation. The depths of holes 1L, 1C, 1R are 4 mm; therefore, the remaining thickness of steel to be corroded is 1 mm. The depths of holes 2L, 2C, 2R are 3 mm; therefore, the remaining thickness of steel to be corroded is 2 mm. To make these holes, a drill bit with flat end was used.</p>
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<p>Details of the plate used for the corrosion test: (<b>a</b>) Top view of the six holes for R7 sensor installation and visual observation; (<b>b</b>) Cross-sectional views of the plate.</p>
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<p>Overall layout of the plate corrosion test and a closer view of the plate: (<b>a</b>) Experimental configuration for the plate corrosion test: (1) Steel plate to be corroded. (2) R7 sensors. (3) Box containing an LED light source. (4) Box containing POF cables from the R7 sensors. (5) USB camera to capture images of the POF cables. (6) Mobile phone for graphic image analysis. (7) USB camera to observe the open holes. (8) PC for confirming and recording images of the open holes. (9) Direct current control unit. (10) Stainless steel plate; (<b>b</b>) Closer view of the sensor installation on the plate.</p>
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<p>Images recorded at the open holes showing the progress of corrosion.</p>
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<p>Light intensities recorded for the R7 sensor installed in 1R.</p>
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<p>Light intensities recorded by the R7 sensor installed in 1R from 94,000 to 100,000 s.</p>
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<p>Light intensities recorded by the R7 sensor installed in 1L.</p>
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<p>Light intensities recorded by the R7 sensor installed in 2R.</p>
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<p>Light intensities recorded by the R7 sensor installed in 2L.</p>
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<p>Light intensities recorded by the R7 sensor installed in 1L from 50,000 to 78,000 s.</p>
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<p>Light intensities recorded by the R7 sensor installed in 2R from 144,000 to 149,000 s.</p>
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<p>Light intensities recorded by the R7 sensor installed in 2L from 152,000 to 164,000 s.</p>
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<p>Screenshot image of the light observed for R7 sensors at the beginning of the test.</p>
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<p>Screenshot images of the light observed for R7 sensors during the test: (<b>a</b>) 0 s; (<b>b</b>) 107,000 s; (<b>c</b>) 181,000 s.</p>
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<p>Various configurations for corrosion monitoring using POF sensors: (<b>a</b>) R2 sensors for monitoring the progress of corrosion at multiple depths; (<b>b</b>) R2 sensors for monitoring the progress of corrosion from two directions; (<b>c</b>) R2 sensors for monitoring the progress of corrosion in pipes; (<b>d</b>) R2 sensor to be used for corrosion detection on the surface of a plate.</p>
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<p>Monitoring strategy comparison with uneven progress of the corroded region: (<b>a</b>) Monitoring with 1 sensor; (<b>b</b>) Monitoring with 2 sensors; (<b>c</b>) Monitoring with 3 sensors; (<b>d</b>) Monitoring with 4 sensors.</p>
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5 pages, 2041 KiB  
Proceeding Paper
Toward the Development of Plasmonic Biosensors to Realize Point-of-Care Tests for the Detection of Viruses and Bacteria
by Francesco Arcadio, Ines Tavoletta, Chiara Marzano, Luca Pasquale Renzullo, Nunzio Cennamo and Luigi Zeni
Eng. Proc. 2023, 56(1), 113; https://doi.org/10.3390/ASEC2023-15277 - 6 Dec 2023
Viewed by 575
Abstract
Optical fiber biosensors can be used to develop point-of-care tests (POCTs) for detecting viruses and bacteria in several matrices. In particular, the surface plasmon resonance (SPR) and localized SPR phenomena (LSPR) can be excited by exploiting low-cost and small-size optical fiber chips. Generally, [...] Read more.
Optical fiber biosensors can be used to develop point-of-care tests (POCTs) for detecting viruses and bacteria in several matrices. In particular, the surface plasmon resonance (SPR) and localized SPR phenomena (LSPR) can be excited by exploiting low-cost and small-size optical fiber chips. Generally, SPR or LSPR sensors are realized using several kinds of modified optical fibers (silica, plastic, or specialty) or by exploiting other optical waveguides (e.g., slab, spoon-shaped waveguides, etc.). More specifically, optical fiber sensors can be classified as intrinsic or extrinsic. In the “optical fiber intrinsic sensors”, the sensing area is realized in the optical fiber directly, such as in the case of plasmonic platforms based on D-shaped plastic optical fibers (POFs), tapered optical fibers, U-bend POFs, or light-diffusing fibers (LDFs). By contrast, when an optical fiber is used as a mere waveguide allowing for the launch of light to the sensing region and its collection, it is defined as an extrinsic optical fiber sensor, like in the case of the plasmonic sensors realized by Cennamo et al. using POFs combined with spoon-shaped waveguides, 3D-printed platforms, bacterial cellulose waveguides, nanogratings, and InkJet-printed chips. To realize optical biosensor chips for the detection of viruses and bacteria, both intrinsic and extrinsic plasmonic POF sensors can be efficiently combined with receptors specific for membrane proteins, either biological (e.g., antibodies, aptamers, enzymes, etc.) or synthetic (e.g., molecularly imprinted polymers), to build groundbreaking POCTs. Full article
(This article belongs to the Proceedings of The 4th International Electronic Conference on Applied Sciences)
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<p>Scheme of the sensor to detect SARS-CoV-2 with the possibility of transmitting and storing the data in a cloud via the Internet [<a href="#B6-engproc-56-00113" class="html-bibr">6</a>,<a href="#B8-engproc-56-00113" class="html-bibr">8</a>].</p>
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<p>Outline of an SPR-POF platform combined with several MIP layers [<a href="#B6-engproc-56-00113" class="html-bibr">6</a>].</p>
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<p>Images of (<b>a</b>) the SPR-POF-MIP chip and POCT device (<b>b</b>), both manufactured by Moresense srl (Milan, Italy) in collaboration with the University of Campania Luigi Vanvitelly (Naples, Italy).</p>
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<p>(<b>a</b>) Comparison of the positive and negative responses in UTM obtained using the POCT (confirmed with RT-PCR); (<b>b</b>) SPR spectra of dilutions of the positive sample in UTM at different ratios (the SARS-CoV-2-positive result was obtained at the 36th RT-PCR cycle). Samples were diluted using a physiological solution.</p>
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16 pages, 10359 KiB  
Article
Low-Cost Angle Sensor for Robotics Applications Using Plastic Optical Fiber Based on Optical Loss Mechanism
by Hyun-Woo Lee, Dae-Hyun Kim and Sangwoo Shin
Biomimetics 2023, 8(8), 567; https://doi.org/10.3390/biomimetics8080567 - 25 Nov 2023
Viewed by 1359
Abstract
Robotic systems and the human body consist of numerous joint structures, all of which require precise angle adjustments. At present, encoder, strain gauge, and electrical resistance-based sensors are commonly used for angle measurement. However, these sensors have limitations when used in underwater or [...] Read more.
Robotic systems and the human body consist of numerous joint structures, all of which require precise angle adjustments. At present, encoder, strain gauge, and electrical resistance-based sensors are commonly used for angle measurement. However, these sensors have limitations when used in underwater or in environments with strong electromagnetic waves. Therefore, we have developed an angle sensor based on step-index profile plastic optical fiber (SI-POF), which is cost-effective and highly durable, in this study in order to overcome the limitations of existing angle measurement sensors. To this end, the amount of light loss according to the gab and angle changes that occur when the POF angle sensor is applied to the robot arm was experimentally measured, and based on the results, a simulation of the amount of light loss when the two losses occurred at the same time was conducted. In addition, the performance of the POF angle sensor was evaluated by measuring sensitivity and resolution, and comparative verification with a commonly used encoder was conducted to verify the reliability of sensors in extreme environments, such as those with electromagnetic fields and those that are underwater. Through this, the reliability and practicality of the POF angle sensor were confirmed. The results obtained in this study suggest that POF-based angle sensors can contribute to the development of the biomimetic robot industry as well as ordinary robots, especially in environments where existing sensors are difficult to apply, such as areas with underwater or electromagnetic interference (EMI). Full article
(This article belongs to the Special Issue Bio-Inspired Approaches—a Leverage for Robotics)
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<p>Research flow chart.</p>
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<p>Refractive loss due to reduced angle of incidence.</p>
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<p>A beam of light continuing at the same angle of incidence within an arc.</p>
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<p>Basic concepts of light intensity distribution modeling [<a href="#B22-biomimetics-08-00567" class="html-bibr">22</a>].</p>
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<p>Illuminance distribution by plastic optical fiber area [<a href="#B22-biomimetics-08-00567" class="html-bibr">22</a>].</p>
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<p>Experimental setup for a bending loss test.</p>
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<p>Experimental setup for a coupling loss test.</p>
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<p>Normalized light intensity according to radius.</p>
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<p>Normalized sensitivity of light intensity according to radius.</p>
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<p>Normalized light intensity according to gap between two aligned optical fibers.</p>
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<p>Normalized sensitivity of light intensity according to gap between two aligned optical fibers.</p>
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<p>Conceptual approach for rotating angle detection mechanism.</p>
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<p>Normalized light intensity with initial gap of 0 mm, 4 mm, 8 mm and 12 mm (at <math display="inline"><semantics> <mi>r</mi> </semantics></math> = 6 mm).</p>
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<p>Normalized light intensity by radius change in rotating part (at <math display="inline"><semantics> <mrow> <msub> <mi>d</mi> <mi>i</mi> </msub> </mrow> </semantics></math> = 8 mm).</p>
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<p>A robot arm part device with POF angle sensor.</p>
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<p>Performance test result of POF angle sensor.</p>
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<p>Normalized sensitivity of light intensity of POF angle sensor.</p>
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<p>Exposing a magnetic field to each sensor: (<b>a</b>) POF angle sensor; (<b>b</b>) encoder.</p>
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<p>Signal of POF angle sensor: (<b>a</b>) noise in a general environment; (<b>b</b>) interference in the magnetic field environment.</p>
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<p>Signal of encoder: (<b>a</b>) noise in a general environment; (<b>b</b>) interference in the magnetic field environment.</p>
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14 pages, 4639 KiB  
Article
Sensing Approaches Exploiting Molecularly Imprinted Nanoparticles and Lossy Mode Resonance in Polymer Optical Fibers
by Francesco Arcadio, Laurent Noël, Domenico Del Prete, Mimimorena Seggio, Luigi Zeni, Alessandra Maria Bossi, Olivier Soppera and Nunzio Cennamo
Nanomaterials 2023, 13(16), 2361; https://doi.org/10.3390/nano13162361 - 18 Aug 2023
Cited by 1 | Viewed by 1016
Abstract
In this work, two different lossy mode resonance (LMR) platforms based on plastic optical fibers (POFs) are developed and tested in a biochemical sensing scenario. The LMR platforms are based on the combination of two metal oxides (MOs), i.e., zirconium oxide (ZrO2 [...] Read more.
In this work, two different lossy mode resonance (LMR) platforms based on plastic optical fibers (POFs) are developed and tested in a biochemical sensing scenario. The LMR platforms are based on the combination of two metal oxides (MOs), i.e., zirconium oxide (ZrO2) and titanium oxide (TiO2), and deposited on the exposed core of D-shaped POF chips. More specifically, two experimental sensor configurations were obtained by swapping the mutual position of the Mos films over to the core of the D-shaped POF probe. The POF–LMR sensors were first characterized as refractometers, proving the bulk sensitivities. Then, both the POF–LMR platforms were functionalized using molecularly imprinted nanoparticles (nanoMIPs) specific for human transferrin (HTR) in order to carry out binding tests. The achieved results report a bulk sensitivity equal to about 148 nm/RIU in the best sensor configuration, namely the POF-TiO2-ZrO2. In contrast, both optical configurations combined with nanoMIPs showed an ultra-low detection limit (fM), demonstrating excellent efficiency of the used receptor (nanoMIPs) and paving the way to disposable POF–LMR biochemical sensors that are easy-to-use, low-cost, and highly sensitive. Full article
(This article belongs to the Section Synthesis, Interfaces and Nanostructures)
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<p>Outline of the cross-sections of (<b>A</b>) Design 1 (POF-TiO<sub>2</sub>-ZrO<sub>2</sub>) and (<b>B</b>) Design 2 (POF-ZrO<sub>2</sub>-TiO<sub>2</sub>), both combined with the same nanoMIPs layer. (<b>C</b>) Experimental setup used to test both the POF–LMR–nanoMIPs sensors; Zoom: detail of the platform holder.</p>
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<p>Bulk sensitivity test for Design 1: (<b>A</b>) LMR spectra (transmitted spectra normalized on the reference spectrum) at different external medium refractive indices. (<b>B</b>) LMR resonance wavelength variations, calculated with respect to the water (RI = 1.332), versus the refractive index together with the linear fitting of the experimental values.</p>
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<p>LMR spectra acquired with water as an external medium before (blue line) and after (red line) the functionalization process.</p>
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<p>Binding test for Design 1. (<b>A</b>) LMR spectra at different HTR concentrations in the range from 17 fM to 280 fM. (<b>B</b>) Absolute value of the shift in LMR resonance wavelength (|∆λ|), calculated with respect to the blank versus HTR concentrations, together with Langmuir fitting of the experimental values and error bars.</p>
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<p>Selectivity test of Design 1: comparison between the shift in resonance wavelength caused by the interferent (HRP) at different concentrations and the analyte (HTR).</p>
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<p>Bulk sensitivity test for Design 2: (<b>A</b>) LMR spectra at different external medium refractive indices; (<b>B</b>) LMR resonance wavelength variations, calculated with respect to the water, versus refractive index together with linear fitting of the experimental values and error bars.</p>
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<p>Design 2: LMR spectra acquired with water as an external medium before (blue line) and after (red line) the functionalization process.</p>
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<p>Binding test for Design 2. (<b>A</b>) LMR spectra at different HTR concentrations in the range from 17 fM to 280 fM. (<b>B</b>) Absolute value of the shift in LMR resonance wavelength (|∆λ|), calculated with respect to the blank, versus HTR concentration together with Langmuir fitting of the experimental values and error bars.</p>
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<p>Selectivity test of Design 2: comparison between the shift in resonance wavelength caused by the interferent (HRP) at different concentrations and the analyte (HTR).</p>
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<p>(<b>A</b>) LMR resonance wavelength variations, calculated with respect to the water, versus the refractive index and linear fittings for both sensor configurations. (<b>B</b>) Experimental variation of the LMR resonance wavelength versus HTR concentration, along with Langmuir fittings of the experimental values, for both configurations.</p>
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13 pages, 3251 KiB  
Article
MIP-Assisted 3-Hole POF Chip Faced with SPR-POF Sensor for Glyphosate Detection
by Giancarla Alberti, Stefano Spina, Francesco Arcadio, Maria Pesavento, Letizia De Maria, Nunzio Cennamo, Luigi Zeni and Daniele Merli
Chemosensors 2023, 11(7), 414; https://doi.org/10.3390/chemosensors11070414 - 22 Jul 2023
Cited by 6 | Viewed by 1300
Abstract
The present study proposes the application of a recently developed optical–chemical sensor system to glyphosate detection. The device probes the refractive index variation in a chip based on a plastic optical fiber (POF) in which three orthogonal micro-holes were created and filled with [...] Read more.
The present study proposes the application of a recently developed optical–chemical sensor system to glyphosate detection. The device probes the refractive index variation in a chip based on a plastic optical fiber (POF) in which three orthogonal micro-holes were created and filled with an acrylic-based molecularly imprinted polymer (MIP). This sensitive chip, connected in series to a gold-coated SPR-POF platform, can modify the surface plasmon resonance (SPR) phenomena by exploiting the multimode characteristic of the POFs. Therefore, the gold film of the SPR-POF platform is not covered by the MIP layer, improving the sensor’s performance because the interaction between the analyte (glyphosate) and the polymer recognition cavities occurs in the core and not in the cladding of the waveguide. Indeed, the sample solution is dropped on the MIP-based chip while a water drop is constantly maintained above the gold surface of the reference SPR-POF platform to excite the surface plasmons, modulated by the MIP interaction with the target analyte. The device is here for the first time applied for glyphosate sensing in water samples. The high sensitivity and selectivity are proven, and tests on real samples highlight the good performances of the developed sensors. Full article
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<p>Experimental setup for glyphosate sensing by MIP-based 3-hole POF chip faced with SPR-POF sensor.</p>
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<p>(<b>a</b>) Scheme of the preparation of the MIP-based 3-hole POF chip. (1) POF inserted in the resin block; (2) creation of the 1 cm D-shaped region of the POF; (3) preparation of three micro-holes with a diameter of 0.6 mm and 2.5 mm apart from each other; (4) micro-holes filled with the MIP. (<b>b</b>) picture (enlarged view 4×) of the 3-hole POF chip.</p>
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<p>SPR spectra obtained for different glyphosate’s aqueous solutions. In total, 40 µL of GLY solutions were dropped onto the MIP-based three-hole POF chip. The spectra were acquired with water over the SPR-POF platform after a 10 min incubation period. These spectra are normalized on the reference spectrum obtained with air over the SPR-POF chip and 40 µL of ultrapure water on the MIP-based three-hole POF platform.</p>
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<p>(<b>a</b>) Dose–response curve Δλ (nm) vs. glyphosate concentration (nM) (<b>b</b>) the same graph with the abscissa in logarithmic scale. Experimental points are reported as the mean value of replicates obtained with five different chips. Error bars represent the standard deviation. The continuous curve represents the fitting by the Hill equation.</p>
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<p>Linear part, at low concentrations of the dose–response curve Δλ (nm) vs. glyphosate concentration (nM) of <a href="#chemosensors-11-00414-f004" class="html-fig">Figure 4</a>. Experimental points are reported as the mean value of replicates obtained with five different MIP-based three-hole POF chips, and the error bars represent the standard deviation.</p>
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<p>Dose–response curve Δλ (nm) vs. glyphosate concentration (nM). Experimental points for the NIP-based three-hole POF platforms (light blue points) are reported as the mean value of replicates obtained with three different chips. Error bars represent the standard deviation. The dose–response curve for the MIP-based three-hole POF chips (red points) is reported for comparison.</p>
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<p>Normalized SPR spectra obtained with the MIP-based POF chip for aqueous solutions of Bentazon and Glyphosate.</p>
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<p>Standard addition method’s graph (<b>a</b>) for the tap water sample spiked with GLY 0.89 nM; (<b>b</b>) for the tap water sample spiked with GLY 1.18 nM. The concentration in the test sample is the x-intercept of the plot (orange point in the graph), and its value is computed by the ratio of the y-intercept and the slope of the regression line.</p>
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12 pages, 3580 KiB  
Article
Analysis of Plasmonic Sensors Performance Realized by Exploiting Different UV-Cured Optical Adhesives Combined with Plastic Optical Fibers
by Francesco Arcadio, Chiara Marzano, Domenico Del Prete, Luigi Zeni and Nunzio Cennamo
Sensors 2023, 23(13), 6182; https://doi.org/10.3390/s23136182 - 6 Jul 2023
Cited by 4 | Viewed by 1479
Abstract
Polymer-based surface plasmon resonance (SPR) sensors can be used to realize simple, small-size, disposable, and low-cost biosensors for application in several fields, e.g., healthcare. The performance of SPR sensors based on optical waveguides can be changed by tuning several parameters, such as the [...] Read more.
Polymer-based surface plasmon resonance (SPR) sensors can be used to realize simple, small-size, disposable, and low-cost biosensors for application in several fields, e.g., healthcare. The performance of SPR sensors based on optical waveguides can be changed by tuning several parameters, such as the dimensions and the shape of the waveguides, the refractive index of the core, and the metal nanofilms used to excite the SPR phenomenon. In this work, in order to develop, experimentally test, and compare several polymer-based plasmonic sensors, realized by using waveguides with different core refractive indices, optical adhesives and 3D printed blocks with a trench inside have been used. In particular, the sensors are realized by filling the blocks’ trenches (with two plastic optical fibers located at the end of these) with different UV-cured optical adhesives and then covering them with the same bilayer to excite the SPR phenomenon. The developed SPR sensors have been characterized by numerical and experimental results. Finally, in order to propose photonic solutions for healthcare, a comparative analysis has been reported to choose the best sensor configuration useful for developing low-cost biosensors. Full article
(This article belongs to the Section Optical Sensors)
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<p>Numerical results obtained by three configurations with different core refractive index values (<span class="html-italic">n<sub>core</sub></span>). (<b>a</b>) Numerical SPR spectra relative to Configuration 1 (<span class="html-italic">n<sub>core</sub></span> = 1.48). (<b>b</b>) Numerical SPR spectra relative to Configuration 2 (<span class="html-italic">n<sub>core</sub></span> = 1.50). (<b>c</b>) Numerical SPR spectra relative to Configuration 3 (<span class="html-italic">n<sub>core</sub></span> = 1.54). (<b>d</b>) Numerical variation in resonance wavelength (∆λ), calculated with respect to the value 1.332, versus external medium refractive index (<span class="html-italic">n<sub>s</sub></span>), together with the linear fitting of the numerical data, for the three sensor configurations: Configuration 1 (<span class="html-italic">n<sub>core</sub></span> = 1.48), Configuration 2 (<span class="html-italic">n<sub>core</sub></span> = 1.50), and Configuration 3 (<span class="html-italic">n<sub>core</sub></span> = 1.54).</p>
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<p>Schematic cross sections of the 3D-printed support used to create the channel hosting UV-sensitive optical adhesives.</p>
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<p>Schematization of the fabrication steps of the plasmonic sensor chips based on cured optical adhesives and POFs.</p>
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<p>Schematic views of the proposed SPR configurations based on different waveguide’s core refractive index.</p>
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<p>Actual image of the experimental setup used to test the proposed SPR chip configurations.</p>
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<p>SPR spectra normalized to the reference spectrum (acquired in air) at different external refractive indices for (<b>a</b>) Configuration 1, (<b>b</b>) Configuration 2, and (<b>c</b>) Configuration 3.</p>
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<p>SPR spectra normalized to the reference spectrum (acquired in air) at different external refractive indices for (<b>a</b>) Configuration 1, (<b>b</b>) Configuration 2, and (<b>c</b>) Configuration 3.</p>
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<p>Variation in resonance wavelength (∆λ) as a function of the external refractive index. The linear fittings (solid lines) and error bars (zoom inset) of the experimental values are also reported for all the configurations.</p>
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19 pages, 8043 KiB  
Review
A Novel Approach to Realize Plasmonic Sensors via Multimode Optical Waveguides: A Review
by Francesco Arcadio, Domenico Del Prete, Luigi Zeni and Nunzio Cennamo
Sensors 2023, 23(12), 5662; https://doi.org/10.3390/s23125662 - 17 Jun 2023
Cited by 3 | Viewed by 1197
Abstract
In recent decades, the Surface Plasmon Resonance (SPR) phenomenon has been utilized as an underlying technique in a broad range of application fields. Herein, a new measuring strategy which harnesses the SPR technique in a way that is different from the classical methodology [...] Read more.
In recent decades, the Surface Plasmon Resonance (SPR) phenomenon has been utilized as an underlying technique in a broad range of application fields. Herein, a new measuring strategy which harnesses the SPR technique in a way that is different from the classical methodology was explored by taking advantage of the characteristics of multimode waveguides, such as plastic optical fibers (POFs) or hetero-core fibers. The sensor systems based on this innovative sensing approach were designed, fabricated, and investigated to assess their ability to measure various physical features, such as magnetic field, temperature, force, and volume, and to realize chemical sensors. In more detail, a sensitive patch of fiber was used in series with a multimodal waveguide where the SPR took place, to alter the mode profile of the light at the input of the waveguide itself. In fact, when the changes of the physical feature of interest acted on the sensitive patch, a variation of the incident angles of the light launched in the multimodal waveguide occurred, and, as a consequence, a shift in resonance wavelength took place. The proposed approach permitted the separation of the measurand interaction zone and the SPR zone. This meant that the SPR zone could be realized only with a buffer layer and a metallic film, thus optimizing the total thickness of the layers for the best sensitivity, regardless of the measurand type. The proposed review aims to summarize the capabilities of this innovative sensing approach to realize several types of sensors for different application fields, showing the high performances obtained by exploiting a simple production process and an easy experimental setup. Full article
(This article belongs to the Special Issue Challenges in the Development of Optical Fiber Sensors)
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Figure 1
<p>Outline of a sensor system based on an SPR-POF platform, which exploits the novel sensing approach. Once a variation of the mode profile occurs following the interaction between the sensitive patch and the quantity under test, the SPR wavelength shifts (for instance, from blue to magenta curve).</p>
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<p>Outline of the magnetic field sensor system. A special holder is utilized to tune the distance between the magnet and the ferrofluidic-covered patch.</p>
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<p>Normalized transmitted spectra obtained with water (<span class="html-italic">n</span> = 1.332) on the plasmonic platform and by varying the spacing between the magnet and the ferrofluidic-covered patch. Reprinted with permission from Ref. [<a href="#B23-sensors-23-05662" class="html-bibr">23</a>]. Copyright 2020, IEEE.</p>
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<p>Experimental variation in resonance wavelength, calculated with respect to the condition without magnet around the ferrofluidic-covered patch, in the range from 0.15 mT to 0.7 mT. The linear fitting of the experimental values and the error bars are also reported. Reprinted with permission from Ref. [<a href="#B23-sensors-23-05662" class="html-bibr">23</a>]. Copyright 2020, IEEE.</p>
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<p>Outline of the temperature (T) sensor system. Inset: details of the thermosensitive probe.</p>
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<p>(<b>a</b>) SPR spectra obtained by keeping unchanged the refractive index of the solution on the plasmonic probe to 1.332 and by varying the temperature of the water upon the thermosensitive platform from 20 °C to 38 °C, with a step size of 3 °C [<a href="#B27-sensors-23-05662" class="html-bibr">27</a>]. (<b>b</b>) Experimental wavelength variations, in absolute value, computed with respect to the value obtained with water at 20 °C, as a function of the temperature of the water upon the thermosensitive platform. The linear fitting and the error bars are also reported [<a href="#B27-sensors-23-05662" class="html-bibr">27</a>]. Reprinted with permission from Ref. [<a href="#B27-sensors-23-05662" class="html-bibr">27</a>]. Copyright 2022, IEEE.</p>
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<p>A schematization of the force sensor system.</p>
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<p>(<b>a</b>) Normalized transmitted spectra obtained by a normalization of the spectrum achieved with no applied force in the force sensing region and with air on the SPR platform. The analyzed range is between 0 and 0.5 N, with a step size of 0.05 N. (<b>b</b>) Experimental wavelength variation, in absolute value, versus the applied force in the range from 0 to 0.5 N, with a step size of 0.05 N. Linear fitting of the experimental data and error bars are reported as well [<a href="#B32-sensors-23-05662" class="html-bibr">32</a>].</p>
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<p>(<b>a</b>) Normalized transmitted spectra obtained by a normalization of the spectrum achieved with no applied force in the force sensing region and with air on the SPR platform. The analyzed range is between 0 and 0.5 N, with a step size of 0.05 N. (<b>b</b>) Experimental wavelength variation, in absolute value, versus the applied force in the range from 0 to 0.5 N, with a step size of 0.05 N. Linear fitting of the experimental data and error bars are reported as well [<a href="#B32-sensors-23-05662" class="html-bibr">32</a>].</p>
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<p>Outline of the micro-volume liquid sensor system.</p>
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<p>(<b>a</b>) SPR spectra achieved by fixing the refractive index on the SPR platform to 1.332 (water) and by changing the liquid volume in the tank from 0 to 5 μL. (<b>b</b>) Absolute values of the resonance wavelength variation, computed with respect to the condition without water volume surrounding the modified LDF-POF, as a function of the water volume that surrounded the LDF patch. Linear fitting of the experimental data and error bars are reported as well. Reprinted with permission from Ref. [<a href="#B36-sensors-23-05662" class="html-bibr">36</a>]. Copyright 2022, IEEE.</p>
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<p>(<b>a</b>) SPR spectra achieved by fixing the refractive index on the SPR platform to 1.332 (water) and by changing the liquid volume in the tank from 0 to 5 μL. (<b>b</b>) Absolute values of the resonance wavelength variation, computed with respect to the condition without water volume surrounding the modified LDF-POF, as a function of the water volume that surrounded the LDF patch. Linear fitting of the experimental data and error bars are reported as well. Reprinted with permission from Ref. [<a href="#B36-sensors-23-05662" class="html-bibr">36</a>]. Copyright 2022, IEEE.</p>
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<p>Structure of the two-dimensional micro displacement sensor system with a characterization of displacement and sensing probes [<a href="#B39-sensors-23-05662" class="html-bibr">39</a>].</p>
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<p>Outline of the sensing principle. Displacement variation along the (<b>a</b>) x-axes and (<b>b</b>) y-axes [<a href="#B39-sensors-23-05662" class="html-bibr">39</a>].</p>
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<p>Experimental setup used to test the two-dimensional micro displacement sensor [<a href="#B39-sensors-23-05662" class="html-bibr">39</a>].</p>
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<p>Normalized SPR spectra achieved by varying the displacement of the tapered probe along (<b>a</b>) the x-axis and (<b>b</b>) the y-axis [<a href="#B39-sensors-23-05662" class="html-bibr">39</a>].</p>
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<p>Experimental resonance wavelength versus the displacement along (<b>a</b>) the x-axis and (<b>b</b>) the y-axis [<a href="#B39-sensors-23-05662" class="html-bibr">39</a>].</p>
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<p>SPR spectra, obtained by a normalization of the reference spectrum, at different (<b>a</b>) 2-FAL [<a href="#B43-sensors-23-05662" class="html-bibr">43</a>] and (<b>b</b>) PFOA [<a href="#B44-sensors-23-05662" class="html-bibr">44</a>] concentrations in water. Reprinted with permission from Ref. [<a href="#B43-sensors-23-05662" class="html-bibr">43</a>]. Copyright 2022, Elsevier.</p>
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19 pages, 5239 KiB  
Article
Polymer Doping as a Novel Approach to Improve the Performance of Plasmonic Plastic Optical Fibers Sensors
by Rosalba Pitruzzella, Riccardo Rovida, Chiara Perri, Alessandro Chiodi, Francesco Arcadio, Nunzio Cennamo, Laura Pasquardini, Lia Vanzetti, Michele Fedrizzi, Luigi Zeni and Girolamo D’Agostino
Sensors 2023, 23(12), 5548; https://doi.org/10.3390/s23125548 - 13 Jun 2023
Cited by 1 | Viewed by 1293
Abstract
In this work, Fe2O3 was investigated as a doping agent for poly(methyl methacrylate) (PMMA) in order to enhance the plasmonic effect in sensors based on D-shaped plastic optical fibers (POFs). The doping procedure consists of immerging a premanufactured POF [...] Read more.
In this work, Fe2O3 was investigated as a doping agent for poly(methyl methacrylate) (PMMA) in order to enhance the plasmonic effect in sensors based on D-shaped plastic optical fibers (POFs). The doping procedure consists of immerging a premanufactured POF sensor chip in an iron (III) solution, avoiding repolymerization and its related disadvantages. After treatment, a sputtering process was used to deposit a gold nanofilm on the doped PMMA in order to obtain the surface plasmon resonance (SPR). More specifically, the doping procedure increases the refractive index of the POF’s PMMA in contact with the gold nanofilm, improving the SPR phenomena. The doping of the PMMA was characterized by different analyses in order to determine the effectiveness of the doping procedure. Moreover, experimental results obtained by exploiting different water–glycerin solutions have been used to test the different SPR responses. The achieved bulk sensitivities confirmed the improvement of the plasmonic phenomenon with respect to a similar sensor configuration based on a not-doped PMMA SPR-POF chip. Finally, doped and non-doped SPR-POF platforms were functionalized with a molecularly imprinted polymer (MIP), specific for the bovine serum albumin (BSA) detection, to obtain dose-response curves. These experimental results confirmed an increase in binding sensitivity for the doped PMMA sensor. Therefore, a lower limit of detection (LOD), equal to 0.04 μM, has been obtained in the case of the doped PMMA sensor when compared to the one calculated for the not-doped sensor configuration equal to about 0.09 μM. Full article
(This article belongs to the Special Issue Plasmonic Optical Fiber Sensors: Technology and Applications)
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<p>(<b>a</b>) Outline and picture of the SPR-POF platform used for the experiments. (<b>b</b>) Scheme of a cross-sectional view with a zoom of the doped SPR-POF platform after treatment.</p>
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<p>Optical microscope images of (<b>a</b>) a doped platform and (<b>b</b>) a not-treated platform in dark field taken at different magnifications (from left to right: 20×, 50×, and 100×).</p>
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<p>Optical microscope images with different magnification (from left to right: 20×, 50×, and 100×) of (<b>a</b>) not-treated platform, (<b>b</b>) doped platform for 1 h, (<b>c</b>) doped platform for 3 h, (<b>d</b>) doped platform for 12 h, and (<b>e</b>) photoresist-coated platform.</p>
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<p>Surveys from XPS analysis on non-treated sample (A), treated without aggregates (B), or with aggregates (C). Chemical species are identified and labelled on the spectra.</p>
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<p>SEM image of treated fiber: (<b>A</b>) where there are clearly visible areas with aggregates. Small area analyzed with EDX technique; (<b>B</b>) and relative results; (<b>C</b>) with the overlapping of iron, oxygen, and carbon.</p>
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<p>SPR spectra obtained at various external refractive indices with regards to (<b>a</b>) an SPR-POF platform doped for 1 h, (<b>b</b>) an SPR-POF platform doped for 3 h, (<b>c</b>) an SPR-POF platform doped for 12 h, (<b>d</b>) an SPR-POF non-treated platform, and (<b>e</b>) an SPR-POF platform based on non-treated PMMA covered by a photoresist layer and a gold nanofilm.</p>
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<p>Experimental resonance wavelength variation (Δλ), calculated with respect to water (n = 1.333), versus the refractive index of the solution (error bars, SD = 0.2 nm). Quadratic fittings (solid line) are also reported for (<b>a</b>) doped and not-treated sensors; (<b>b</b>) shows a comparison between the doped sensor (1 h) with a photoresist-coated sensor configuration.</p>
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<p>Experimental resonance wavelength variation (Δλ), calculated with respect to water (n = 1.333), versus the refractive index of the solution (error bars, SD = 0.2 nm). Quadratic fittings (solid line) are also reported for (<b>a</b>) doped and not-treated sensors; (<b>b</b>) shows a comparison between the doped sensor (1 h) with a photoresist-coated sensor configuration.</p>
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<p>(<b>a</b>) Bulk sensitivity as a function of the refractive index for not-treated and treated (at different times) SPR sensors. (<b>b</b>) Comparison in sensitivity between the optimized doped sensor and a photoresist-coated one.</p>
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<p>SPR spectra collected from (<b>a</b>) an optimized doped platform and (<b>b</b>) a not-treated platform, before and after the MIP deposition step.</p>
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<p>SPR spectra at different BSA concentrations in phosphate buffer, collected by a doped sensor (<b>a</b>) and by a not-treated sensor (<b>b</b>).</p>
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<p>The resonance wavelength variations (calculated with respect to the blank) versus BSA concentration in phosphate buffer, with the error bars and Langmuir fitting in semi-log scale for doped and not-treated sensor.</p>
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