CN115753739A - Hazardous substance high-flux SERS detection method based on automatic digital microfluidic system - Google Patents
Hazardous substance high-flux SERS detection method based on automatic digital microfluidic system Download PDFInfo
- Publication number
- CN115753739A CN115753739A CN202211663458.6A CN202211663458A CN115753739A CN 115753739 A CN115753739 A CN 115753739A CN 202211663458 A CN202211663458 A CN 202211663458A CN 115753739 A CN115753739 A CN 115753739A
- Authority
- CN
- China
- Prior art keywords
- digital microfluidic
- sers
- molecules
- different concentrations
- salt solution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004416 surface enhanced Raman spectroscopy Methods 0.000 title claims abstract description 45
- 238000001514 detection method Methods 0.000 title claims abstract description 33
- 239000000383 hazardous chemical Substances 0.000 title claims 2
- 239000012266 salt solution Substances 0.000 claims abstract description 21
- 239000002360 explosive Substances 0.000 claims abstract description 19
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 14
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 claims abstract description 14
- 239000004332 silver Substances 0.000 claims abstract description 14
- 229910052709 silver Inorganic materials 0.000 claims abstract description 14
- 239000000126 substance Substances 0.000 claims abstract description 8
- 239000002699 waste material Substances 0.000 claims abstract description 7
- 239000007788 liquid Substances 0.000 claims abstract description 6
- 229920002545 silicone oil Polymers 0.000 claims abstract description 5
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims description 20
- NLKNQRATVPKPDG-UHFFFAOYSA-M potassium iodide Chemical compound [K+].[I-] NLKNQRATVPKPDG-UHFFFAOYSA-M 0.000 claims description 16
- 239000000243 solution Substances 0.000 claims description 13
- 235000002639 sodium chloride Nutrition 0.000 claims description 12
- WCUXLLCKKVVCTQ-UHFFFAOYSA-M Potassium chloride Chemical compound [Cl-].[K+] WCUXLLCKKVVCTQ-UHFFFAOYSA-M 0.000 claims description 8
- 239000011780 sodium chloride Substances 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000002209 hydrophobic effect Effects 0.000 claims description 4
- 238000011534 incubation Methods 0.000 claims description 4
- 239000001103 potassium chloride Substances 0.000 claims description 4
- 235000011164 potassium chloride Nutrition 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000013461 design Methods 0.000 claims description 3
- 239000000758 substrate Substances 0.000 claims description 2
- ZCYVEMRRCGMTRW-UHFFFAOYSA-N 7553-56-2 Chemical compound [I] ZCYVEMRRCGMTRW-UHFFFAOYSA-N 0.000 claims 1
- 239000011630 iodine Substances 0.000 claims 1
- 229910052740 iodine Inorganic materials 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 13
- QJTIRVUEVSKJTK-UHFFFAOYSA-N 5-nitro-1,2-dihydro-1,2,4-triazol-3-one Chemical compound [O-][N+](=O)C1=NC(=O)NN1 QJTIRVUEVSKJTK-UHFFFAOYSA-N 0.000 description 14
- SPSSULHKWOKEEL-UHFFFAOYSA-N 2,4,6-trinitrotoluene Chemical compound CC1=C([N+]([O-])=O)C=C([N+]([O-])=O)C=C1[N+]([O-])=O SPSSULHKWOKEEL-UHFFFAOYSA-N 0.000 description 13
- 239000000015 trinitrotoluene Substances 0.000 description 13
- FVAUCKIRQBBSSJ-UHFFFAOYSA-M sodium iodide Chemical compound [Na+].[I-] FVAUCKIRQBBSSJ-UHFFFAOYSA-M 0.000 description 9
- 239000000523 sample Substances 0.000 description 8
- 150000003839 salts Chemical class 0.000 description 7
- 230000003595 spectral effect Effects 0.000 description 7
- 229910021642 ultra pure water Inorganic materials 0.000 description 6
- 239000012498 ultrapure water Substances 0.000 description 6
- 238000001237 Raman spectrum Methods 0.000 description 5
- 230000005284 excitation Effects 0.000 description 5
- 230000002776 aggregation Effects 0.000 description 4
- 238000004220 aggregation Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 239000007864 aqueous solution Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 235000009518 sodium iodide Nutrition 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 2
- 239000012491 analyte Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 235000007715 potassium iodide Nutrition 0.000 description 2
- 238000000479 surface-enhanced Raman spectrum Methods 0.000 description 2
- 229910002699 Ag–S Inorganic materials 0.000 description 1
- 206010029350 Neurotoxicity Diseases 0.000 description 1
- FOIXSVOLVBLSDH-UHFFFAOYSA-N Silver ion Chemical compound [Ag+] FOIXSVOLVBLSDH-UHFFFAOYSA-N 0.000 description 1
- 206010044221 Toxic encephalopathy Diseases 0.000 description 1
- 150000001412 amines Chemical class 0.000 description 1
- 125000003118 aryl group Chemical group 0.000 description 1
- 238000011953 bioanalysis Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000711 cancerogenic effect Effects 0.000 description 1
- 231100000357 carcinogen Toxicity 0.000 description 1
- 239000003183 carcinogenic agent Substances 0.000 description 1
- 230000003197 catalytic effect Effects 0.000 description 1
- 238000005119 centrifugation Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000000701 coagulant Substances 0.000 description 1
- 238000004737 colorimetric analysis Methods 0.000 description 1
- 238000012864 cross contamination Methods 0.000 description 1
- 231100000135 cytotoxicity Toxicity 0.000 description 1
- 230000003013 cytotoxicity Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 230000005518 electrochemistry Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 229910017053 inorganic salt Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000001871 ion mobility spectroscopy Methods 0.000 description 1
- 238000004949 mass spectrometry Methods 0.000 description 1
- 125000002496 methyl group Chemical group [H]C([H])([H])* 0.000 description 1
- 230000000813 microbial effect Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000002105 nanoparticle Substances 0.000 description 1
- 230000007135 neurotoxicity Effects 0.000 description 1
- 231100000228 neurotoxicity Toxicity 0.000 description 1
- 125000000449 nitro group Chemical group [O-][N+](*)=O 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000003385 ring cleavage reaction Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000011896 sensitive detection Methods 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 125000003396 thiol group Chemical group [H]S* 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
- 230000002588 toxic effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Landscapes
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
Description
技术领域technical field
本发明属于数字微流控技术领域,具体为一种基于自动化数字微流控系统的有害物质高通量SERS检测方法。The invention belongs to the technical field of digital microfluidics, and specifically relates to a high-throughput SERS detection method for harmful substances based on an automated digital microfluidics system.
背景技术Background technique
随着对国土安全的迫切需要,近年来,爆炸物检测已成为越来越受关注的主题。三硝基甲苯(TNT)是主要的军用炸药,也是全世界未爆炸地雷的主要成分。应注意的是,TNT毒性极强,被归类为1级致癌物。此外,由于TNT的三个硝基的电子吸收特性,芳香环特别抵抗微生物的氧化攻击和环裂解,即使在低痕量浓度下,也会在环境中表现出持久性。TNT污染了世界各地数百万公顷的土地。此外,3-硝基-1,2,4-三唑-5-酮(NTO)是一种典型的高能钝感炸药,具有神经毒性和细胞毒性。由于NTO的高溶解度,它可能通过水系统进入地下水,从而以极低的微量浓度影响人体健康。美国正逐步用NTO取代传统的TNT炸药。随着NTO的大规模使用,它将不可避免地带来污染风险。因此,检测和预防环境中的爆炸物对于跟踪环境质量和保护人类健康具有重要意义。With the increasing need for homeland security, explosives detection has become a subject of increasing interest in recent years. Trinitrotoluene (TNT) is a major military explosive and a major component of unexploded landmines worldwide. It should be noted that TNT is extremely toxic and is classified as a
在过去的十年中,包括荧光、比色法、离子迁移率光谱法、质谱法、和电化学在内的各种传感方法被用于检测爆炸物。其中,表面增强拉曼光谱(SERS)因其超灵敏而备受关注。它已广泛用于催化过程监测、生物分析和污染检测。随着安全和检测效率要求的提高,用于检测高能爆炸物的设备应具有自动化、高通量和超灵敏度的特点。此外,传统的SERS检测往往伴随着手动操作和检测效率低的问题。因此,探索具有自动化、高通量和超灵敏特性的新型SERS技术用于爆炸物检测是当务之急。Over the past decade, various sensing methods including fluorescence, colorimetry, ion mobility spectroscopy, mass spectrometry, and electrochemistry have been used to detect explosives. Among them, surface-enhanced Raman spectroscopy (SERS) has attracted much attention due to its ultrasensitivity. It has been widely used in catalytic process monitoring, bioanalysis and pollution detection. With increasing requirements for safety and detection efficiency, equipment for detecting high-energy explosives should be characterized by automation, high throughput, and ultrasensitivity. In addition, traditional SERS detection is often accompanied by the problems of manual operation and low detection efficiency. Therefore, it is urgent to explore novel SERS technology with automation, high-throughput and ultra-sensitive characteristics for explosive detection.
基于液滴的微流体技术为分析平台的集成和自动化提供了新的机会。SERS与微流控芯片的结合具有独特的优势。基于微滴,芯片上可以实现超灵敏度、自动化和多目标SERS检测。然而,传统的微流体芯片结构复杂,需要外部泵和阀一起使用,这很难实现。此外,容易产生通道“死容积”,造成交叉污染。相比之下,数字微流体(DMF)技术不依赖于微泵和微流体,甚至不需要复杂的三维流体通道,并且具有结构简单和动态配置的优点。此外,它具有低样本消耗、高并行性和自动化的能力。然而,如何在DMF芯片上实现高通量过程并生成SERS热点,用于超敏感爆炸物检测仍然是两大挑战。Droplet-based microfluidics offer new opportunities for integration and automation of analytical platforms. The combination of SERS and microfluidic chips has unique advantages. Based on microdroplets, ultrasensitive, automated, and multi-target SERS detection can be realized on a chip. However, traditional microfluidic chips are complex and require external pumps and valves to work together, which is difficult to achieve. In addition, it is easy to generate channel "dead volume", causing cross-contamination. In contrast, digital microfluidics (DMF) technology does not rely on micropumps and microfluidics, and does not even require complex three-dimensional fluid channels, and has the advantages of simple structure and dynamic configuration. Furthermore, it has low sample consumption, high parallelism, and automation capabilities. However, how to implement a high-throughput process and generate SERS hotspots on DMF chips for ultrasensitive explosives detection remains two major challenges.
发明内容Contents of the invention
为了解决以上问题,我们提出了一种基于自动化数字微流控系统的有害物质高通量表面增强拉曼散射(SERS)检测方法。该方法能够实现痕量炸药分子的自动化、高通量和超灵敏SERS检测。In order to solve the above problems, we propose a high-throughput surface-enhanced Raman scattering (SERS) detection method for harmful substances based on an automated digital microfluidic system. This method enables automated, high-throughput, and ultrasensitive SERS detection of trace explosive molecules.
为达此目的,本发明采用以下技术方案:For reaching this purpose, the present invention adopts following technical scheme:
一种基于自动化数字微流控系统的有害物质高通量SERS检测方法,包括以下步骤:A high-throughput SERS detection method for harmful substances based on an automated digital microfluidic system, comprising the following steps:
(1)设计数字微流控芯片,实现痕量炸药、银溶胶和盐溶液的混合;(1) Design a digital microfluidic chip to realize the mixing of trace explosives, silver sol and salt solution;
(2)将不同浓度的待检测分子、银溶胶和盐溶液分别注入数字微流控芯片中,并被硅油包围;首先分配等量银溶胶分别与不同浓度的待检测分子液滴混合,并孵育1~6小时,得到混合液滴;然后分配等量盐溶液分别与上述混合液滴混合,在孵育5~20分钟后,获得具有SERS性质的银聚集体;(2) Inject different concentrations of the molecules to be detected, silver sol and salt solution into the digital microfluidic chip and surround them with silicone oil; first distribute equal amounts of silver sol to mix with droplets of the molecules to be detected at different concentrations, and incubate After 1-6 hours, mixed droplets were obtained; then an equal amount of salt solution was distributed to mix with the above-mentioned mixed droplets, and after incubation for 5-20 minutes, silver aggregates with SERS properties were obtained;
(3)使用Renishaw inVia拉曼显微镜获得了不同浓度待检测分子的SERS信号,SERS检测后,所有液滴都转移到废液池进行统一收集和处理。(3) The SERS signals of the molecules to be detected at different concentrations were obtained using a Renishaw inVia Raman microscope. After SERS detection, all droplets were transferred to the waste pool for unified collection and processing.
进一步的技术方案为,所述数字微流控芯片包括上、下极板两部分,下极板包括基底、电极层、介质层和局部亲水化的疏水层,上极板为疏水化的地电极,上下极板平行相对,被间隙层相隔;所述电极层包括40个驱动电极和8个储备电极组成的数字微流控极板电极阵列,还包括两个样品池,五个反应池和一个废液池以及液滴生成通道电极阵列,所述待检测分子注入所述反应池中,所述银溶胶和盐溶液分别注入样品池中。A further technical solution is that the digital microfluidic chip includes two parts, an upper plate and a lower plate, the lower plate includes a substrate, an electrode layer, a dielectric layer and a partially hydrophilized hydrophobic layer, and the upper plate is a hydrophobic ground The electrodes, the upper and lower plates are parallel to each other, and are separated by a gap layer; the electrode layer includes a digital microfluidic plate electrode array composed of 40 drive electrodes and 8 reserve electrodes, and also includes two sample pools, five reaction pools and A waste liquid pool and a droplet generation channel electrode array, the molecules to be detected are injected into the reaction pool, and the silver sol and salt solution are respectively injected into the sample pool.
进一步的技术方案为,所述盐溶液选自氯化钠溶液、氯化钾溶液、碘化钾溶液、碘化钠溶液中的任意一种或多种。A further technical solution is that the salt solution is selected from any one or more of sodium chloride solution, potassium chloride solution, potassium iodide solution, and sodium iodide solution.
进一步的技术方案为,所述盐溶液的浓度为0.1M、1M、2M、3M、4M中的任意一种。A further technical solution is that the concentration of the salt solution is any one of 0.1M, 1M, 2M, 3M and 4M.
其具体的操作方法为:Its specific operation method is:
对于联合系统SERS性能评估。将溶解在超纯水中的CV用作探针分子,在DMF芯片中自动混合1μL Ag溶胶(1mg/mL)和1μL CV水溶液,并静置1-6小时。然后,将1μL盐溶液加入(盐溶液种类包括:氯化钠、氯化钾、碘化钾、碘化钠。盐溶液浓度为:0.1M、1M、2M、3M、4M),静置5-20分钟后,在Renishaw inVia拉曼显微镜设备上收集拉曼光谱。激发波长为532nm,使用放大20倍的Leica物镜聚焦激光束。采用1800行/mm的光栅,光谱分辨率为1cm-1。光谱采集时间为10s,所有采集中的激光功率保持在0.3-15mW。For joint system SERS performance evaluation. CV dissolved in ultrapure water was used as a probe molecule, and 1 μL of Ag sol (1 mg/mL) and 1 μL of CV aqueous solution were automatically mixed in a DMF chip and left to stand for 1-6 hours. Then, add 1 μL of salt solution (the types of salt solution include: sodium chloride, potassium chloride, potassium iodide, sodium iodide. The concentration of the salt solution is: 0.1M, 1M, 2M, 3M, 4M), and let it stand for 5-20 minutes Finally, Raman spectra were collected on a Renishaw inVia Raman microscope facility. The excitation wavelength was 532 nm, and the laser beam was focused using a 20X magnification Leica objective lens. A grating with 1800 lines/mm is used, and the spectral resolution is 1 cm -1 . The spectrum acquisition time was 10 s, and the laser power was kept at 0.3-15 mW in all acquisitions.
对于炸药NTO的检测。将溶解在超纯水中的NTO在DMF芯片中与1μL Ag溶胶(1mg/mL)自动混合,并静置1-6小时。然后,将1μL盐溶液加入,静置5-20分钟后,在RenishawinVia拉曼显微镜设备上收集拉曼光谱。激发波长为532nm,使用放大20倍的Leica物镜聚焦激光束。采用1800行/mm的光栅,光谱分辨率为1cm-1。光谱采集时间为10s,所有采集中的激光功率保持在0.3-15mW。For the detection of explosive NTO. NTO dissolved in ultrapure water was automatically mixed with 1 μL of Ag sol (1 mg/mL) in a DMF chip and left to stand for 1–6 hours. Then, 1 μL of saline solution was added, and after standing for 5-20 minutes, Raman spectra were collected on RenishawinVia Raman microscope equipment. The excitation wavelength was 532 nm, and the laser beam was focused using a 20X magnification Leica objective lens. A grating with 1800 lines/mm is used, and the spectral resolution is 1 cm -1 . The spectrum acquisition time was 10 s, and the laser power was kept at 0.3-15 mW in all acquisitions.
对于TNT的检测。首先,4-ATP分子通过巯基和Ag-NP之间的Ag-S键的形成吸附在Ag-NP表面。4-ATP分子达到吸附平衡后,将TNT溶液与4-ATP修饰的Ag-NP混合,TNT分子在甲基上被富电子胺去质子化,与4-ATP形成Meissenheimer络合物。然后,将1μL盐溶液加入,静置5-20分钟后,在Renishaw inVia拉曼显微镜设备上收集拉曼光谱。激发波长为532nm,使用放大20倍的Leica物镜聚焦激光束。采用1800行/mm的光栅,光谱分辨率为1cm-1。光谱采集时间为10s,所有采集中的激光功率保持在0.3-15mW。用相同的程序进行NTO、R6G、RhB的SERS检测。For the detection of TNT. First, 4-ATP molecules were adsorbed on the surface of Ag-NPs through the formation of Ag-S bonds between sulfhydryl groups and Ag-NPs. After the 4-ATP molecule reached the adsorption equilibrium, the TNT solution was mixed with the 4-ATP-modified Ag-NP, and the TNT molecule was deprotonated by an electron-rich amine on the methyl group to form a Meissenheimer complex with 4-ATP. Then, 1 μL of saline solution was added, and after standing for 5-20 minutes, Raman spectra were collected on Renishaw inVia Raman microscope equipment. The excitation wavelength was 532 nm, and the laser beam was focused using a 20X magnification Leica objective lens. A grating with 1800 lines/mm is used, and the spectral resolution is 1 cm -1 . The spectrum acquisition time was 10 s, and the laser power was kept at 0.3-15 mW in all acquisitions. SERS detection of NTO, R6G, RhB was carried out with the same procedure.
与现有技术相比,本发明具有如下有益效果:本发明基于40个驱动电极和8个储备电极组成的电极阵列,设计了痕量炸药NTO的高通量检测流程。通过盐溶液种类和浓度的筛选,调控了微流控芯片内的SERS热点,实现了痕量炸药NTO的灵敏检测。基于自动化的数字微流控,降低了人与有害物质的接触,保证了检测人员的安全。Compared with the prior art, the present invention has the following beneficial effects: the present invention designs a high-throughput detection process for trace explosive NTO based on an electrode array composed of 40 driving electrodes and 8 reserve electrodes. Through the screening of the type and concentration of the salt solution, the SERS hot spot in the microfluidic chip was regulated, and the sensitive detection of trace explosive NTO was realized. Based on automated digital microfluidics, it reduces the contact between people and harmful substances and ensures the safety of testing personnel.
附图说明Description of drawings
图1为本发明DMF-SERS高通量检测流程;Fig. 1 is the DMF-SERS high-throughput detection process of the present invention;
图2为本发明添加盐前后DMF芯片中银纳米颗粒聚集情况;Fig. 2 is the aggregation situation of silver nanoparticles in the DMF chip before and after the present invention adds salt;
图3为本发明1M不同种类盐存在下DMF-SERS对10-7M的CV的拉曼响应;Fig. 3 is the Raman response of DMF-SERS to the CV of 10 -7 M under the presence of 1M different kinds of salts of the present invention;
图4为本发明不同浓度KI存在下DMF-SERS对10-7M的CV的拉曼响应;Figure 4 is the Raman response of DMF-SERS to the CV of 10 -7 M in the presence of different concentrations of KI in the present invention;
图5为本发明不同浓度(10-4-10-8M)NTO存在下DMF-SERS的拉曼响应;Figure 5 is the Raman response of DMF-SERS in the presence of different concentrations (10 -4 -10 -8 M) of NTO of the present invention;
图6为本发明不同浓度(10-4-10-7M)TNT存在下DMF-SERS的拉曼响应。Fig. 6 is the Raman response of DMF-SERS in the presence of different concentrations (10 -4 -10 -7 M) of TNT of the present invention.
具体实施方式Detailed ways
为进一步阐述本发明所采取的技术手段及其效果,以下结合实施例和附图对本发明作进一步地说明。可以理解的是,此处所描述的具体实施方式仅仅用于解释本发明,而非对本发明的限定。In order to further illustrate the technical means and effects adopted by the present invention, the present invention will be further described below in conjunction with the embodiments and accompanying drawings. It should be understood that the specific implementation manners described here are only used to explain the present invention, rather than to limit the present invention.
实施例中未注明具体技术或条件者,按照本领域内的文献所描述的技术或条件,或者按照产品说明书进行。所用试剂或仪器未注明生产厂商者,均为可通过正规渠道商购获得的常规产品。If no specific technique or condition is indicated in the examples, it shall be carried out according to the technique or condition described in the literature in this field, or according to the product specification. The reagents or instruments used were not indicated by the manufacturer, and they were all conventional products commercially available through formal channels.
实施例1Example 1
不同盐溶液种类下,DMF-SERS联合系统的检测效果:The detection effect of the DMF-SERS combined system under different types of salt solutions:
为了实现Ag-NPs在Ag溶胶中的聚集,产生局域电场,并实现SERS增强,设计了无机盐诱导的纳米粒子聚集方法。无机盐作为凝聚剂,破坏Ag-NP的双电层并导致Ag-NP聚集。图2显示了在DMF芯片上添加盐之前和之后Ag-NPs聚集状态的数字照片。添加盐后,Ag-NPs聚集以产生热点,这有利于SERS信号的表达。将溶解在超纯水中的CV用作探针分子,在DMF芯片中自动混合1μLAg溶胶(1mg/mL)和1μL CV水溶液,并静置2小时。然后,将1μL盐溶液加入(1M,盐溶液种类包括:氯化钠、氯化钾、碘化钾、碘化钠。),静置20分钟后,在RenishawinVia拉曼显微镜设备上收集拉曼光谱。激发波长为532nm,使用放大20倍的Leica物镜聚焦激光束。采用1800行/mm的光栅,光谱分辨率为1cm-1。光谱采集时间为10s,所有采集中的激光功率保持在15mW。图3显示了添加不同种类的盐后收集的探针分子CV(10-7M)的SERS光谱。In order to realize the aggregation of Ag-NPs in Ag sol, generate a localized electric field, and achieve SERS enhancement, an inorganic salt-induced nanoparticle aggregation method was designed. Inorganic salts act as coagulants, destroying the electrical double layer of Ag-NPs and causing Ag-NPs to aggregate. Figure 2 shows the digital photographs of the Ag-NPs aggregation state before and after salt addition on the DMF chip. After adding salt, the Ag-NPs aggregated to generate hot spots, which was beneficial for the expression of SERS signal. CV dissolved in ultrapure water was used as a probe molecule, and 1 μL of Ag sol (1 mg/mL) and 1 μL of CV aqueous solution were automatically mixed in a DMF chip and left to stand for 2 hours. Then, 1 μL of saline solution was added (1M, the types of saline solution include: sodium chloride, potassium chloride, potassium iodide, sodium iodide.), and after standing for 20 minutes, Raman spectra were collected on RenishawinVia Raman microscope equipment. The excitation wavelength was 532 nm, and the laser beam was focused using a 20X magnification Leica objective lens. A grating with 1800 lines/mm is used, and the spectral resolution is 1 cm -1 . The spectral acquisition time was 10 s, and the laser power was kept at 15 mW during all acquisitions. Figure 3 shows the SERS spectra of the probe molecule CV (10 -7 M) collected after adding different kinds of salts.
实施例2Example 2
不同盐溶液浓度下,DMF-SERS联合系统的检测效果:The detection effect of the DMF-SERS combined system under different salt solution concentrations:
将溶解在超纯水中的CV用作探针分子,在DMF芯片中自动混合1μL Ag溶胶(1mg/mL)和1μL CV水溶液,并静置2小时。然后,将1μL盐溶液加入(KI,盐溶液浓度为:0.1M、1M、2M、3M、4M。),静置20分钟后,在Renishaw inVia拉曼显微镜设备上收集拉曼光谱。激发波长为532nm,使用放大20倍的Leica物镜聚焦激光束。采用1800行/mm的光栅,光谱分辨率为1cm-1。光谱采集时间为10s,所有采集中的激光功率保持在15mW。图4显示了添加不同浓度盐后收集的探针分子CV(10-7M)的SERS光谱,可以观察到CV的显著SERS信号。CV dissolved in ultrapure water was used as a probe molecule, and 1 μL of Ag sol (1 mg/mL) and 1 μL of CV aqueous solution were automatically mixed in a DMF chip and left to stand for 2 hours. Then, 1 μL of salt solution was added (KI, concentration of salt solution: 0.1M, 1M, 2M, 3M, 4M.), and after standing for 20 minutes, Raman spectra were collected on Renishaw inVia Raman microscope equipment. The excitation wavelength was 532 nm, and the laser beam was focused using a 20X magnification Leica objective lens. A grating with 1800 lines/mm is used, and the spectral resolution is 1 cm -1 . The spectral acquisition time was 10 s, and the laser power was kept at 15 mW during all acquisitions. Figure 4 shows the SERS spectra of the probe molecule CV (10 −7 M) collected after adding different concentrations of salt, and a significant SERS signal of CV can be observed.
实施例3Example 3
高通量检测5个不同浓度的NTO炸药样本:High-throughput detection of 5 different concentrations of NTO explosive samples:
将不同浓度的NTO分子(位于位置16、24、40、39、28,10-4-10-8M)、Ag溶胶(位于位置5)和盐溶液(KI,1M,位于位置2)分别注入DMF芯片中,并被硅油包围。首先,将5一个单位(1μL)的Ag溶胶从位置5上分离,与不同浓度(位置16、24、40、39、28)的NTO液滴混合,并孵育2小时。然后,将盐溶液(位置2)分别与上述液滴混合。孵育20分钟后,观察到具有SERS性质的Ag-NPs聚集体。最后,使用Renishaw inVia拉曼显微镜获得了不同浓度分析物分子的SERS信号(图5)。SERS检测后,所有液滴都可以转移到废物池(位置12)进行统一收集和处理。Different concentrations of NTO molecules (at positions 16, 24, 40, 39, 28, 10 -4 -10 -8 M), Ag sol (at position 5) and saline solution (KI, 1M, at position 2) were injected into DMF chip and surrounded by silicone oil. First, 5 units (1 μL) of Ag sol were isolated from
实施例4Example 4
高通量检测5个不同浓度的TNT炸药样本:High-throughput detection of 5 different concentrations of TNT explosive samples:
将100μL Ag溶胶(1mg/mL)和500μL 4-ATP乙醇溶液(10-5M)混合,并孵育2小时,然后通过离心用超纯水洗涤,加入100ul超纯水,并超声分散以获得4-ATP接枝的Ag-NP。将不同浓度的TNT分子(位于位置16、24、40、39、28,10-4-0M)、4-ATP接枝的Ag-NP(位于位置5)和盐溶液(KI,1M,位于位置2)分别注入DMF芯片中,并被硅油包围。首先,将一个单位(1μL)的4-ATP接枝的Ag-NP从位置5上分离,与不同浓度(位置16、24、40、39、28)的TNT液滴混合,并孵育2小时。然后,将盐溶液(位置2)分别与上述液滴混合。孵育20分钟后,使用RenishawinVia拉曼显微镜获得了不同浓度分析物分子的SERS信号(图6)。SERS检测后,所有液滴都可以转移到废物池(位置12)进行统一收集和处理。Mix 100 μL of Ag sol (1 mg/mL) and 500 μL of 4-ATP ethanol solution (10-5 M) and incubate for 2 hours, then wash with ultrapure water by centrifugation, add 100 μl of ultrapure water, and ultrasonically disperse to obtain 4- ATP-grafted Ag-NPs. Different concentrations of TNT molecules (at
尽管这里参照本发明的解释性实施例对本发明进行了描述,上述实施例仅为本发明较佳的实施方式,本发明的实施方式并不受上述实施例的限制,应该理解,本领域技术人员可以设计出很多其他的修改和实施方式,这些修改和实施方式将落在本申请公开的原则范围和精神之内。Although the present invention has been described here with reference to the illustrative examples of the present invention, the above-mentioned examples are only preferred implementations of the present invention, and the implementation of the present invention is not limited by the above-mentioned examples. It should be understood that those skilled in the art Many other modifications and embodiments can be devised which will fall within the scope and spirit of the principles disclosed in this application.
Claims (4)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211663458.6A CN115753739A (en) | 2022-12-23 | 2022-12-23 | Hazardous substance high-flux SERS detection method based on automatic digital microfluidic system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211663458.6A CN115753739A (en) | 2022-12-23 | 2022-12-23 | Hazardous substance high-flux SERS detection method based on automatic digital microfluidic system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115753739A true CN115753739A (en) | 2023-03-07 |
Family
ID=85347353
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211663458.6A Pending CN115753739A (en) | 2022-12-23 | 2022-12-23 | Hazardous substance high-flux SERS detection method based on automatic digital microfluidic system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115753739A (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103170383A (en) * | 2013-03-10 | 2013-06-26 | 复旦大学 | Nano-material electrode modification based electrochemical integrated digital micro-fluidic chip |
CN107904163A (en) * | 2017-12-12 | 2018-04-13 | 厦门大学 | A kind of full-automatic individual particle based on digital microfluidic technology/unicellular capture chip and its application |
CN108072643A (en) * | 2017-12-28 | 2018-05-25 | 厦门大学 | A kind of target detection method and system based on digital microfluidic technology and Surface enhanced Raman scattering technology |
CN112175824A (en) * | 2020-09-17 | 2021-01-05 | 厦门大学 | Full-automatic single cell capturing chip based on digital microfluidic technology and application thereof |
-
2022
- 2022-12-23 CN CN202211663458.6A patent/CN115753739A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103170383A (en) * | 2013-03-10 | 2013-06-26 | 复旦大学 | Nano-material electrode modification based electrochemical integrated digital micro-fluidic chip |
CN107904163A (en) * | 2017-12-12 | 2018-04-13 | 厦门大学 | A kind of full-automatic individual particle based on digital microfluidic technology/unicellular capture chip and its application |
CN108072643A (en) * | 2017-12-28 | 2018-05-25 | 厦门大学 | A kind of target detection method and system based on digital microfluidic technology and Surface enhanced Raman scattering technology |
CN112175824A (en) * | 2020-09-17 | 2021-01-05 | 厦门大学 | Full-automatic single cell capturing chip based on digital microfluidic technology and application thereof |
WO2022057797A1 (en) * | 2020-09-17 | 2022-03-24 | 厦门大学 | Full-automatic single-cell capture chip based on digital microfluidic technology, and application thereof |
Non-Patent Citations (1)
Title |
---|
DONGMEI WANG ET: "Halogen ion modified Ag NPs for ultrasensitive SERS detection of nitroaromatic explosives", 《ANALYTICAL METHODS》, vol. 14, 3 September 2022 (2022-09-03), pages 1 - 11 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wygladacz et al. | Fiber-optic microsensor array based on fluorescent bulk optode microspheres for the trace analysis of silver ions | |
Yang et al. | Multisignaling optical-electrochemical sensor for Hg2+ based on a rhodamine derivative with a ferrocene unit | |
Zhang et al. | Recent advances of electrospun nanofibrous membranes in the development of chemosensors for heavy metal detection | |
Wang et al. | Surface molecular imprinting on Mn-doped ZnS quantum dots for room-temperature phosphorescence optosensing of pentachlorophenol in water | |
Cecchini et al. | Ultrafast surface enhanced resonance Raman scattering detection in droplet-based microfluidic systems | |
Galpothdeniya et al. | Virtual colorimetric sensor array: single ionic liquid for solvent discrimination | |
Khandare et al. | Fluorescence turn-on chemosensor for the detection of dissolved CO2 based on ion-induced aggregation of tetraphenylethylene derivative | |
Shao et al. | A TICT-based fluorescent probe for hypochlorous acid and its application to cellular and zebrafish imaging | |
Jafarvand et al. | Supramolecular‐based dispersive liquid–liquid microextraction: A novel sample preparation technique utilizes coacervates and reverse micelles | |
Chen et al. | A structure-dependent ratiometric fluorescence sensor based on metal-organic framework for detection of 2, 6-pyridinedicarboxylic acid | |
Jiang et al. | A potential-resolved ratiometric electrochemiluminescence aptasensor for Pb2+: Gold nanoclusters and amino-terminated perylene derivative as both emitters and resonance energy transfer donor-acceptor pair | |
Zhang et al. | Colorimetric differentiation of multiple oxidizing anions based on two core–shell Au@ Ag nanoparticles with different morphologies as array recognition elements | |
Sharpless et al. | Effects of aluminum-induced aggregation on the fluorescence of humic substances | |
Qi et al. | Electrochemiluminescence resonance energy transfer for both “turn-off” detection of 2, 4, 6-trinitrophenol and “turn-on” detection of lidocaine hydrochloride using luminol-doped silica nanoparticles | |
Zheng et al. | NIR-responsive photoelectrochemical sensing platform for the simultaneous determination of tetrodotoxin and okadaic acid in Nassariidae | |
Zhu et al. | A wireless fluorescent sensing device for on-site closed-loop detection of hydrazine levels in the environment | |
Wang et al. | Structure-controllable Ag aerogel optimized SERS-digital microfluidic platform for ultrasensitive and high-throughput detection of harmful substances | |
Li et al. | Application of molecularly imprinted polymers in the water environmental field: A review on the detection and efficient removal of emerging contaminants | |
Mu et al. | Silver nanoparticles–laser induced graphene (Ag NPs–LIG) hybrid electrodes for sensitive electrochemical-surface enhanced Raman spectroscopy (EC-SERS) detection | |
Zhu et al. | Background-free and reversible upconversion hydrogel sensing platform for visual monitoring of sulfite | |
Lee et al. | A low-cost TICT-based staining agent for identification of microplastics: Theoretical studies and simple, cost-effective smartphone-based fluorescence microscope application | |
Hao et al. | Direct phoxim sensing based on fluorescent metal-organic framework of Nu-1000 induced FRET | |
Wang et al. | Surface engineered bimetallic gold/silver nanoclusters for in situ imaging of mercury ions in living organisms | |
Liang et al. | A novel near‐infrared fluorescence probe for detecting and imaging Hg2+ in living cells | |
Chao et al. | A Pyrene‐Based Turn‐On Fluorescence Probe for CN− Detection and Its Bioimaging Applications |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB03 | Change of inventor or designer information |
Inventor after: He Xuan Inventor after: Liu Yu Inventor after: Liu Zhongping Inventor before: He Xuan Inventor before: Liu Yu Inventor before: Liu Zhongping Inventor before: Liu Wei |
|
CB03 | Change of inventor or designer information |