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11 pages, 1146 KiB  
Brief Report
When Implementing the Presynch-11/Ovsynch Reproductive Management Program, the Fertility of Lactating Dairy Cows Improved When They Received Timed Artificial Insemination Compared with the Inclusion of Estrus Detection
by Jaimie Marie Strickland, João Paulo Nascimento Martins, Lou Neuder and James R. Pursley
Animals 2024, 14(15), 2235; https://doi.org/10.3390/ani14152235 - 31 Jul 2024
Viewed by 802
Abstract
Artificial insemination 12 h following observed standing estrus is a standard estimate of the fertility levels of cattle. The main objective of this study was to determine if controlling ovarian development with a fertility program could alter the fertility of lactating dairy cows. [...] Read more.
Artificial insemination 12 h following observed standing estrus is a standard estimate of the fertility levels of cattle. The main objective of this study was to determine if controlling ovarian development with a fertility program could alter the fertility of lactating dairy cows. Lactating dairy cows (n = 1356) 60–66 days in milk (DIM) were randomly assigned to receive timed AI following Presynch-11/Ovsynch (Presynch-11) or a combination of estrus detection and timed AI using the Presynch-11/Ovsynch program (Estrus + TAI). Cows in standing estrus, following the first two cloprostenol sodium (CLO) injections, in the Estrus + TAI group were artificially inseminated using the AM/PM rule. Cows in this group that were not observed in standing estrus received Ovsynch and TAI beginning 11 d after the second CLO injection. Cows in the Presynch-11 group received two injections of 500 µg CLO 14 d apart but were not observed for estrus. The first GnRH (100 µg) of Ovsynch was administered 11 d following the second CLO injection. All cows in the Presynch-11-Ovsynch group received TAI following Ovsynch. Cows in this treatment were then assigned randomly to receive either CLO or dinoprost 7 d following the first GnRH of Ovsynch. The final GnRH of Ovsynch was administered 56 h later and TAI 16 h after the final GnRH. Pregnancies/AI (P/AI) were greater (p < 0.001) for the Presynch-11 group compared with the Estrus + TAI group (45 vs. 31%). Primiparous cows had greater fertility following observed standing estrus compared with multiparous cows. Days in milk at the first AI were greater (p < 0.01) in the Presynch-11 group vs. the Estrus + TAI group (98 vs. 80) but less variable (p < 0.01). The range of DIM at the first AI was 95 to 101 in the Presynch-11 group and 60 to 101 in the Estrus + TAI group. Within the Presynch-11 group, there were no differences in the rate of luteolysis or P/AI for the prostaglandin type at the final PGF of Ovsynch. Multiparous cows treated with Presynch-11 had >60% chance of pregnancy compared with multiparous cows receiving AI following standing estrus. In summary, lactating dairy cows receiving timed AI following the Presynch-11/Ovsynch program had improved fertility compared with a group of cows that received AI following standing estrus or, if not observed in estrus, timed AI. This comparison indicated that controlling ovarian development with GnRH and PGF positively impacted the fertility of lactating dairy cows. Full article
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Figure 1

Figure 1
<p>Experimental design to determine the effect of timed AI only with the fertility program Presynch-11/Ovsynch (Presynch-11) vs. AI following detected estrus following both PGF<sub>2α</sub> injections within Presynch-11/Ovsynch with timed AI (TAI) utilized in cows not detected in estrus (Estrus + TAI). The 1st cloprostenol sodium (CLO) injection in both treatments was initiated between 60 and 66 days in milk (DIM). Cows in the Presynch-11 group all received TAI between 95 and 101 DIM. Estrus detection was performed in the Estrus + TAI group twice daily for the 1st period between 60 and 80 DIM and the 2nd period between 74 and 91 DIM. Cows not observed in standing estrus were treated with Ovsynch 11 days after the 2nd CLO injection and received TAI between 95 and 101 DIM. Cows in the Presynch-11 group were randomly divided into two groups at time of PGF<sub>2α</sub> of Ovsynch and received either 500 µg of CLO or 25 mg of dinoprost tromethamine (DINO). Blood samples were collected at time of CLO or DINO and at time of final GnRH of Ovsynch for determination of progesterone.</p>
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<p>Effect of timed AI only with the fertility program Presynch-11/Ovsynch (Presynch-11; green bar) vs. AI following detected estrus following both PGF<sub>2α</sub> injections within Presynch-11/Ovsynch with timed AI (TAI) utilized in cows not detected in estrus (Estrus + TAI; maroon bar) on P/AI. Approximately 24% of the Estrus + TAI group were not observed in standing estrus between 60 and 91 DIM and received TAI.</p>
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<p>Effect of timed AI only with the fertility program Presynch-11/Ovsynch (Presynch-11; green bars) vs. AI following detected estrus following both PGF<sub>2α</sub> injections within Presynch-11/Ovsynch with timed AI (TAI) utilized in cows not detected in estrus (Estrus + TAI; maroon bars) on P/AI in first, second, and third + parity lactating dairy cows. Approximately 24% of the Estrus + TAI group were not observed in standing estrus between 60 and 91 DIM and received TAI.</p>
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<p>Comparison of P/AI within cows in the Estrus + TAI group for observed standing estrus after first cloprostenol treatment (CLO; green bars) between 60 and 66 days in milk (DIM), after second CLO treatment (blue bars) between 74 and 91 DIM, and cows that were not observed in standing estrus and received TAI following Ovsynch (maroon bars) between 95 and 101 DIM for parities one, two, and three+.</p>
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<p>Effect of timed AI only with the fertility program Presynch-11/Ovsynch (Presynch-11; green bar) in cows with luteolysis (&lt;0.5 ng/mL at time of final GnRH of Ovsynch) vs. AI following detected estrus after the first two CLO treatments in the Estrus + TAI group (maroon bar).</p>
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14 pages, 346 KiB  
Review
Interval from Oestrus to Ovulation in Dairy Cows—A Key Factor for Insemination Time: A Review
by Fabio De Rensis, Eleonora Dall’Olio, Giovanni Maria Gnemmi, Padet Tummaruk, Melania Andrani and Roberta Saleri
Vet. Sci. 2024, 11(4), 152; https://doi.org/10.3390/vetsci11040152 - 29 Mar 2024
Cited by 1 | Viewed by 3648
Abstract
This review describes the oestrus-to-ovulation interval, the possibility of predicting the time of ovulation, and the optimum time for insemination relative to oestrus in dairy cows. The duration of oestrus in dairy cows is approximately 8–20 h, with differences possibly related to the [...] Read more.
This review describes the oestrus-to-ovulation interval, the possibility of predicting the time of ovulation, and the optimum time for insemination relative to oestrus in dairy cows. The duration of oestrus in dairy cows is approximately 8–20 h, with differences possibly related to the methods of oestrus detection and the frequency of observations. Most cows ovulate approximately 24–33 h after the onset of oestrus and 15–22 h after the end of oestrus. The interval from the preovulatory luteinising hormone (LH) surge to ovulation is approximately 4–30 h. Ovulation occurs when follicle diameter averages 18–20 mm. When it is possible to correctly determine the beginning of oestrus, artificial insemination can be performed utilizing the “a.m.–p.m. rule”, and only one insemination may be applied. In cows with too long or too short oestrus-to-ovulation intervals, fertility can be compromised. One important factor that can alter the oestrus-to-ovulation interval is acute or chronic heat stress during the warm season. When there is a risk that insemination may occur too early or too late with respect to the time of ovulation, GnRH administration can be considered. Full article
(This article belongs to the Special Issue Advances in Reproduction and Fertility in Dairy Cows)
12 pages, 9389 KiB  
Article
Nonlinear Capacitance Compensation Method for Integrating a Metal–Semiconductor–Metal Varactor with a Gallium Nitride High Electron Mobility Transistor Power Amplifier
by Ke Li, Yitian Gu, Haowen Guo and Xinbo Zou
Electronics 2024, 13(7), 1265; https://doi.org/10.3390/electronics13071265 - 28 Mar 2024
Viewed by 869
Abstract
A nonlinear capacitance compensation technique is presented in this paper to enhance the linearity of a power amplifier (PA) in the GaN process. The method involves placing an MSM varactor device alongside the GaN HEMT device, which works as the amplifying unit such [...] Read more.
A nonlinear capacitance compensation technique is presented in this paper to enhance the linearity of a power amplifier (PA) in the GaN process. The method involves placing an MSM varactor device alongside the GaN HEMT device, which works as the amplifying unit such that the overall capacitance observed at the amplifier input is constant, thus improving linearity. This approach is a reliable and straightforward way to improve PA linearity in the GaN process. The proof-of-concept prototype in this study involves the fabrication of a PA device using a standard GaN HEMT process, which successfully integrates the proposed compensation technique and demonstrates excellent compatibility with existing processes. The prototype has a saturation output power of 18 dBm, a peak power-added efficiency of 51.8%, and a small signal gain of 15.5 dB at 1 GHz. The measured AM–PM distortion at the 5 dB compression point is reduced by more than 50% compared to that of an uncompensated device. Furthermore, the results of third-order intermodulation distortion demonstrate the effectiveness of the linearity enhancement concept, with values improved by more than 5 dB in the linear region compared to those of the uncompensated device. All of the results demonstrate the potential utility of this design approach for wireless communication applications. Full article
(This article belongs to the Special Issue Microwave Devices and Their Applications)
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Figure 1

Figure 1
<p>A simplified, nonlinear model for the GaN HEMT.</p>
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<p>Simulation result of the commercial GaN HEMT device’s gate–source capacitance as a function of gate–source voltage for a fixed drain-source voltage of 28 V.</p>
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<p>(<b>a</b>) The proposed MSM varactor structure and equivalent circuit model. (<b>b</b>) Equivalent circuit model for <span class="html-italic">C<sub>gs</sub></span> to HEMT.</p>
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<p>The proposed gate–source capacitance compensation technology for the GaN HEMT. The <span class="html-italic">C<sub>gs</sub></span> is <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> <mfenced separators="|"> <mrow> <msub> <mrow> <mi>v</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </mrow> </mfenced> <mo>=</mo> <mn>0.5</mn> <mo>+</mo> <mn>0.4</mn> <mo>∗</mo> <mrow> <mrow> <mi mathvariant="italic">tanh</mi> </mrow> <mo>⁡</mo> <mrow> <mfenced separators="|"> <mrow> <mfrac> <mrow> <msub> <mrow> <mi>v</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> <mo>−</mo> <mo stretchy="false">(</mo> <mo>−</mo> <mn>3</mn> <mo stretchy="false">)</mo> </mrow> <mrow> <mn>0.5</mn> </mrow> </mfrac> </mrow> </mfenced> </mrow> </mrow> </mrow> </semantics></math> and the compensation capacitance is <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>c</mi> <mi>o</mi> <mi>m</mi> <mi>p</mi> </mrow> </msub> <mfenced separators="|"> <mrow> <mi>v</mi> </mrow> </mfenced> <mo>=</mo> <mn>0.5</mn> <mo>+</mo> <mn>0.4</mn> <mo>∗</mo> <mrow> <mrow> <mi mathvariant="italic">tanh</mi> </mrow> <mo>⁡</mo> <mrow> <mfenced separators="|"> <mrow> <mfrac> <mrow> <mi>v</mi> <mo>−</mo> <mo stretchy="false">(</mo> <mo>−</mo> <mn>3</mn> <mo stretchy="false">)</mo> </mrow> <mrow> <mn>0.5</mn> </mrow> </mfrac> </mrow> </mfenced> </mrow> </mrow> </mrow> </semantics></math>. When the MSM varactor is biased to −6 V, <span class="html-italic">C<sub>total</sub></span> equals <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>t</mi> <mi>o</mi> <mi>t</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mfenced separators="|"> <mrow> <msub> <mrow> <mi>v</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </mrow> </mfenced> <mo>=</mo> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> <mfenced separators="|"> <mrow> <msub> <mrow> <mi>v</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> </mrow> </mfenced> <mo>+</mo> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>c</mi> <mi>o</mi> <mi>m</mi> <mi>p</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mo>−</mo> <mn>6</mn> <mo>−</mo> <msub> <mrow> <mi>v</mi> </mrow> <mrow> <mi>g</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math> = 1.</p>
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<p>(<b>a</b>) The section of the epitaxy of MSM varactor; (<b>b</b>) the physical structure of the MSM varactors; (<b>c</b>) microphotograph of the MSM varactor; (<b>d</b>) the C-V characteristics of the MSM varactor with <span class="html-italic">F<sub>l</sub></span> = 1.2 μm, <span class="html-italic">F<sub>w</sub></span> = 23 μm, <span class="html-italic">d</span> = 3 μm, and <span class="html-italic">N</span> = 10.</p>
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<p>(<b>a</b>) The equivalent C-V characteristics of an MSM varactor with <span class="html-italic">F<sub>l</sub></span> = 1.2 μm, <span class="html-italic">F<sub>w</sub></span> = 23 μm, <span class="html-italic">d</span> = 3 μm, and <span class="html-italic">N</span> = 10. (<b>b</b>) <span class="html-italic">C<sub>gs</sub></span>-<span class="html-italic">V<sub>gs</sub></span> characteristics of the GaN HEMT with a 1.2 µm gate length and a 100 µm gate width.</p>
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<p>Measurement results for electrode area and capacitance characteristics.</p>
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<p>(<b>a</b>) Schematic of the proposed HEMT with a monolithic integrated MSM varactor. (<b>b</b>) Microphotograph of the prototype chip.</p>
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<p>Measurement result of the Port1-to-ground capacitance for both devices.</p>
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<p>CW measurement setup.</p>
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<p>Measurement results for single-tone characteristics.</p>
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<p>Measurement results for AM–PM characteristics at different gate bias (<b>a</b>) <span class="html-italic">V<sub>gs</sub></span> = −2 V (<b>b</b>) <span class="html-italic">V<sub>gs</sub></span> = −1.9 V (<b>c</b>) <span class="html-italic">V<sub>gs</sub></span> = −2.1 V.</p>
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<p>Measurement IMD3 result of the device versus the output power at <span class="html-italic">V<sub>gs</sub></span> = −2 V and <span class="html-italic">V<sub>ds</sub></span> = 12 V. The center frequency is 1 GHz for a two-tone spacing of 10 MHz.</p>
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15 pages, 1381 KiB  
Article
Effects of AM/PM Diets on Laying Performance, Egg Quality, and Nutrient Utilisation in Free-Range Laying Hens
by Afsana A. Jahan, Thi Hiep Dao, Natalie K. Morgan, Tamsyn M. Crowley and Amy F. Moss
Appl. Sci. 2024, 14(5), 2163; https://doi.org/10.3390/app14052163 - 5 Mar 2024
Viewed by 1617
Abstract
Laying hen nutrient requirements change throughout the day, due to the cyclic nature of egg formation. Generally, more energy and protein are required in the morning when the albumen is deposited around the yolk, and more calcium is required in the evening when [...] Read more.
Laying hen nutrient requirements change throughout the day, due to the cyclic nature of egg formation. Generally, more energy and protein are required in the morning when the albumen is deposited around the yolk, and more calcium is required in the evening when the eggshell is formed. The aim of this study was to determine if feeding laying hens diets tailored to their specific nutritional and physiological requirements throughout the day, by feeding higher levels of protein and energy in the morning and higher levels of calcium in the evening, is more beneficial than feeding one diet all day. Hy-Line Brown laying hens (n = 360) were housed in free-range floor pens (18 pens with 20 hens/pen) from 34 to 53 weeks of age (WOA). Half of the birds (n = 180, nine replicate pens) were fed a conventional layer hen diet all day (control) and the remaining birds (n = 180, nine replicate pens) were fed an AM diet from 08:00 h to 16:00 h and PM diet from 16:00 h to 08:00 h (AM/PM). From 39 WOA, hens were given access to an outdoor range from 09:00 h to 18:00 h via pop holes. Egg weight and hen-day egg production were measured daily, and feed consumption and the feed conversion ratio (FCR) were measured weekly. Hen weight and egg size uniformity were determined at 43 and 53 WOA, and egg quality was measured at 53 WOA. A total of 72 hens (4 hens/pen, 36 hens/treatment) were euthanised at 53 WOA to determine ileal apparent energy and nitrogen digestibility. A cost–benefit analysis for the study period, based on feed costs and egg mass, was calculated. Overall, the results showed that the AM/PM treatment increased egg mass by 2.15% (60.4 vs. 59.1 g/hen/day, p = 0.086) and improved feed efficiency by 8.34% (2.231 vs. 2.436 kg feed/kg egg, p = 0.030) compared with the control. A higher yolk colour score was observed in eggs from hens on the AM/PM treatment (p = 0.002), but no other significant effects of the treatments on egg quality were observed. Ileal digestible energy and digestible nitrogen coefficient were lower in hens on the AM/PM treatment compared with the control treatment (both p < 0.001). However, the AM/PM treatment was attributed to a lower feed cost to egg mass compared with the control treatment (p < 0.001). In conclusion, using an AM/PM feeding strategy was found to be economically beneficial. Full article
(This article belongs to the Special Issue Applied Microbial Biotechnology for Poultry Science)
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Figure 1
<p>Housing environmental conditions over the study duration (weeks 34 to 53).</p>
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<p>Effect of AM/PM feeding on weekly laying hen performance (mean ± standard error) from weeks 34 to 53.</p>
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12 pages, 2980 KiB  
Article
AM/AM and AM/PM Characterization of a GaN Phase and Amplitude Setting Circuit
by Sergio Colangeli, Anjeeshnu Das, Patrick Ettore Longhi, Walter Ciccognani, Enzo De Angelis, Filippo Bolli and Ernesto Limiti
Electronics 2023, 12(23), 4746; https://doi.org/10.3390/electronics12234746 - 23 Nov 2023
Viewed by 1068
Abstract
This contribution presents the AM/AM and AM/PM characteristics of a 6-bit Phase and Amplitude Setting Circuit realized in Gallium Nitride technology and operating at the Ku band. A test bench, based on three vector receivers and an absolute power reference, has been purposely [...] Read more.
This contribution presents the AM/AM and AM/PM characteristics of a 6-bit Phase and Amplitude Setting Circuit realized in Gallium Nitride technology and operating at the Ku band. A test bench, based on three vector receivers and an absolute power reference, has been purposely devised to capture the deviation with respect to the linear behavior (known by the S-parameters) for both the magnitude and the phase of the vector response. The complete 64-state constellation is reported up to a 37 dBm of input power level, at which the effects of the static AM/AM and AM/PM distortion become evident, with about 3 dB of gain compression and 2.7 deg of phase conversion. The key figure of merit of the proposed test bench is the capability of operating with very high driving power levels (potentially up to 41 dBm), with possible applications in phased arrays, AESAs, and other signal conditioning systems. Full article
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Figure 1
<p>Block diagram of the Device Under Test (DUT).</p>
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<p>Photo of the measurement setup for AM/AM and AM/PM characterization.</p>
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<p>The architecture of the test bench represented during the calibration phase (with a ‘thru’ connection in place of the DUT). The dotted line represents the alternative path required during one of the two calibration steps.</p>
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<p>Test bench architecture also shows the power splitter internal to the VNA. The power level at the relevant sections is reported, assuming 35 dBm at the input of the DUT.</p>
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<p>Relay board interface. The inset reports the circuit topology implementing the control voltages required by the attenuation and phase-shifting cells. The relays are activated by LabView through TTL signals provided by the digital IO board.</p>
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<p>Measured AM/AM static characteristics were captured under the following conditions: (<b>a</b>) across the spectrum of eight distinct states of the attenuator cells, with the phase shifter configured to its minimum phase shift value; (<b>b</b>) with the attenuator set to its minimum attenuation value, showcasing variations across the eight states of the phase shifter.</p>
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<p>Characterization of measured AM/PM responses: (<b>a</b>) variation in AM/PM static characteristics across eight distinctive attenuator cell states with the phase shifter configured at minimal phase shift value; (<b>b</b>) AM/PM static characteristics observed across the same eight attenuator cell states, with the attenuator set to its lowest attenuation value and the phase shifter switched over the eight available states.</p>
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<p>Measured constellations at 7 dBm (denoted by asterisks) and 37 dBm (represented by circles) input power levels; (<b>a</b>) Cartesian coordinates. (<b>b</b>) Polar coordinates. The radial dimension corresponds to attenuation (dB), while the angular dimension corresponds to phase shift (degrees).</p>
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<p>AM/AM (<b>a</b>) and AM/PM (<b>b</b>) against nominal phase-shift and attenuation levels at approximately 37 dBm.</p>
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18 pages, 7741 KiB  
Article
Spatial Downscaling of Soil Moisture Based on Fusion Methods in Complex Terrains
by Qingqing Chen, Xiaowen Tang, Biao Li, Zhiya Tang, Fang Miao, Guolin Song, Ling Yang, Hao Wang and Qiangyu Zeng
Remote Sens. 2023, 15(18), 4451; https://doi.org/10.3390/rs15184451 - 10 Sep 2023
Cited by 2 | Viewed by 1260
Abstract
Large-area soil moisture (SM) data with high resolution and precision are the foundation for the research and application of hydrological and meteorological models, water resource evaluation, agricultural management, and warning of geological disasters. It is still challenging to downscale SM products in complex [...] Read more.
Large-area soil moisture (SM) data with high resolution and precision are the foundation for the research and application of hydrological and meteorological models, water resource evaluation, agricultural management, and warning of geological disasters. It is still challenging to downscale SM products in complex terrains that require fine spatial details. In this study, SM data from the Soil Moisture Active and Passive (SMAP) satellite were downscaled from 36 to 1 km in the summer and autumn of 2017 in Sichuan Province, China. Genetic-algorithm-optimized backpropagation (GABP) neural network, random forest, and convolutional neural network were applied. A fusion model between SM and longitude, latitude, elevation, slope, aspect, land-cover type, land surface temperature, normalized difference vegetation index, enhanced vegetation index, evapotranspiration, day sequence, and AM/PM was established. After downscaling, the in situ information was fused through a geographical analysis combined with a spatial interpolation to improve the quality of the downscaled SM. The comparative results show that in complex terrains, the GABP neural network better captures the soil moisture variations in both time and space domains. The GDA_Kriging method is able to merge in situ information in the downscaled SM while simultaneously maintaining the dynamic range and spatial details. Full article
(This article belongs to the Special Issue Microwave Remote Sensing of Soil Moisture II)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Spatial distributions of (<b>a</b>) elevation, (<b>b</b>) slope, (<b>c</b>) aspect, and (<b>d</b>) land-cover type (LCT) in Sichuan. Black dots represent the locations of in situ soil moisture (SM).</p>
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<p>Flowchart of the fusion procedure in this study.</p>
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<p>Bar (<b>a</b>) and stacked bar (<b>b</b>) plots for Pearson correlation coefficients (CCs) between SM and predictors, and bar plot for the importance values (<b>c</b>) of predictors in the RF model.</p>
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<p>Boxplots (<b>a</b>) and PDF curves (<b>b</b>) of in situ SM, SMAP, GABP, RF, and CNN SM data in Sichuan during summer and autumn 2017.</p>
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<p>Monthly, seasonal, and total MAEs of SMAP, GABP, RF, and CNN SM relative to in situ SM in Sichuan during summer and autumn of 2017.</p>
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<p>Spatial distributions of the mean SMs for (<b>a</b>) in situ SM, (<b>b</b>) GABP, (<b>c</b>) RF, (<b>d</b>) CNN, and (<b>e</b>) SMAP in Sichuan during summer and autumn of 2017. The local amplifications corresponding to (<b>c</b>), (<b>d</b>), and (<b>e</b>) in the red box area are (<b>f</b>) GABP, (<b>g</b>) RF, and (<b>h</b>) CNN.</p>
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<p>Boxplots (<b>a</b>) and PDF curves (<b>b</b>) of the in situ SM, HRSM, GDA_Kriging, GRA_Kriging, GDA_IDW, and GRA_IDW SM in Sichuan during summer and autumn of 2017.</p>
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<p>Daily average sequence curves of the in situ SM, HRSM, GDA_Kriging, and GDA_IDW SM in Sichuan from 10 June to 30 November 2017.</p>
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<p>Spatial distributions of the mean SM during summer and autumn of 2017 for HRSM, GDA_Kriging, and GDA_IDW in Sichuan.</p>
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24 pages, 11109 KiB  
Article
A Fully Integrated High Efficiency 2.4 GHz CMOS Power Amplifier with Mode Switching Scheme for WLAN Applications
by Haoyu Shen, Taishan Mo and Bin Wu
Appl. Sci. 2023, 13(13), 7410; https://doi.org/10.3390/app13137410 - 22 Jun 2023
Cited by 1 | Viewed by 2034
Abstract
A 3.3 V mode-switching RF CMOS power amplifier (PA) for WLAN applications is presented, which is integrated into a 55-nm bulk CMOS process. The proposed PA offers both static control and dynamic power control, allowing it to operate efficiently in both low-power and [...] Read more.
A 3.3 V mode-switching RF CMOS power amplifier (PA) for WLAN applications is presented, which is integrated into a 55-nm bulk CMOS process. The proposed PA offers both static control and dynamic power control, allowing it to operate efficiently in both low-power and high-power modes. The pure low-power mode is achieved by reducing power cells, which are also used for linearization in high power mode. The low-power mode is achieved by reducing the number of power cells which are also used for linearization in the high-power mode. In the dynamic power control mode, the total AM–AM and AM–PM distortion is effectively compensated for by dynamically controlling the number of power cells and adjusting the matching input. The proposed PA achieves an output P1dB of 27.6 dBm with a PAE of 32.7% and an output P1dB of 17.7 dBm with a PAE of 10% in high-power and low-power modes, respectively. It is measured with an 802.11 n 64-quadrature-amplitude-modulation (MCS7) signal and shows a maximum average power of 19 dBm under an error-vector-magnitude (EVM) of −27 dB. Full article
(This article belongs to the Special Issue Advanced Circuits and Systems for Emerging Applications)
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Figure 1
<p>Architecture of the proposed CMOS PA.</p>
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<p>(<b>a</b>) Simplified schematic of the proposed reconfigurable single-ended power cells. (<b>b</b>) The small signal equivalent circuit.</p>
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<p>Schematic of the Power Controller.</p>
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<p>Simulated power detector output voltage.</p>
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<p>Simulated output control signal.</p>
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<p>Simplified schematic of the power cells.</p>
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<p>Simulated Gm for Class A and Class B devices, and overall Gm.</p>
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<p>Simulated comparison of the output power.</p>
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<p>Simulated <math display="inline"><semantics> <mrow> <msub> <mi>g</mi> <mrow> <mi>m</mi> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math> versus bias voltage.</p>
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<p>Simulated comparison of the IMD3 according to the output power with/without gm.</p>
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<p>Simulated NMOS capacitance, PMOS capacitance, and total capacitance.</p>
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<p>Simulated comparison of the IMD3 according to the output power with/without PMOS.</p>
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<p>Transformer equivalent circuit.</p>
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<p>Output Balun layout.</p>
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<p>Schematic of the Capbank.</p>
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<p>(<b>a</b>) Schematic of the common-source bias circuit. (<b>b</b>) Schematic of the common-gate bias circuit.</p>
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<p>(<b>a</b>) Schematic of the common-source bias circuit. (<b>b</b>) Schematic of the common-gate bias circuit.</p>
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<p>(<b>a</b>) Simulated threshold voltage versus temperature. (<b>b</b>) Simulated PTAT current versus temperature.</p>
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<p>(<b>a</b>) Simulated bias impedance with voltage buffer at different bias voltage. (<b>b</b>) Simulated bias impedance without voltage buffer at different bias voltage.</p>
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<p>Die photo and PCB photo.</p>
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<p>(<b>a</b>) Large-signal CW measurements’ setup. (<b>b</b>) Measurements’ environment.</p>
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<p>Measured S21 small signal gain.</p>
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<p>Measured CW performance in pure HP and LP mode.</p>
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<p>Measured CW performance in pure HP and LP mode.</p>
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<p>Measured CW performance with same gain.</p>
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<p>Measured CW Performance in power control mode.</p>
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<p>Measured PA performance for 802.11n.</p>
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13 pages, 4002 KiB  
Article
pH-Responsive Viscoelastic Fluids of a C22-Tailed Surfactant Induced by Trivalent Metal Ions
by Zhi Xu, Shuai Yu, Rong Fu, Ji Wang and Yujun Feng
Molecules 2023, 28(12), 4621; https://doi.org/10.3390/molecules28124621 - 7 Jun 2023
Cited by 1 | Viewed by 1210
Abstract
pH-responsive viscoelastic fluids are often achieved by adding hydrotropes into surfactant solutions. However, the use of metal salts to prepare pH-responsive viscoelastic fluids has been less documented. Herein, a pH-responsive viscoelastic fluid was developed by blending an ultra-long-chain tertiary amine, N-erucamidopropyl-N, [...] Read more.
pH-responsive viscoelastic fluids are often achieved by adding hydrotropes into surfactant solutions. However, the use of metal salts to prepare pH-responsive viscoelastic fluids has been less documented. Herein, a pH-responsive viscoelastic fluid was developed by blending an ultra-long-chain tertiary amine, N-erucamidopropyl-N, N-dimethylamine (UC22AMPM), with metal salts (i.e., AlCl3, CrCl3, and FeCl3). The effects of the surfactant/metal salt mixing ratio and the type of metal ions on the viscoelasticity and phase behavior of fluids were systematically examined by appearance observation and rheometry. To elucidate the role of metal ions, the rheological properties between AlCl3− and HCl−UC22AMPM systems were compared. Results showed the above metal salt evoked the low-viscosity UC22AMPM dispersions to form viscoelastic solutions. Similar to HCl, AlCl3 could also protonate the UC22AMPM into a cationic surfactant, forming wormlike micelles (WLMs). Notably, much stronger viscoelastic behavior was evidenced in the UC22AMPM−AlCl3 systems because the Al3+ as metal chelators coordinated with WLMs, promoting the increment of viscosity. By tuning the pH, the macroscopic appearance of the UC22AMPM−AlCl3 system switched between transparent solutions and milky dispersion, concomitant with a viscosity variation of one order of magnitude. Importantly, the UC22AMPM−AlCl3 systems showed a constant viscosity of 40 mPa·s at 80 °C and 170 s−1 for 120 min, indicative of good heat and shear resistances. The metal-containing viscoelastic fluids are expected to be good candidates for high-temperature reservoir hydraulic fracturing. Full article
(This article belongs to the Section Materials Chemistry)
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Figure 1

Figure 1
<p>Snapshots of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with various molar ratios of UC<sub>22</sub>AMPM to AlCl<sub>3</sub> (<span class="html-italic">α</span>). The number at the top of the bottle represents the <span class="html-italic">α</span>.</p>
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<p>(<b>A</b>) Evolution of the pH of an AlCl<sub>3</sub> solution with increasing concentration. (<b>B</b>) <sup>1</sup>H NMR spectra (CD<sub>3</sub>OD–D<sub>2</sub>O, <span class="html-italic">V</span>/<span class="html-italic">V</span> = 5:1) of neat UC<sub>22</sub>AMPM and UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed systems.</p>
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<p>(<b>A</b>) Steady rheology of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with different molar ratios. (<b>B</b>) Dynamic rheology of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with <span class="html-italic">α</span> = 1:3.</p>
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<p>(<b>A</b>) Steady rheology of UC<sub>22</sub>AMPM–HCl mixed systems at different pHs. (<b>B</b>) Zero−shear viscosity (<span class="html-italic">η</span><sub>0</sub>) of the UC<sub>22</sub>AMPM solution plotted as a function of AlCl<sub>3</sub> concentration or pH values at 25 °C.</p>
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<p>Macroscopic appearance of (<b>A</b>) UC<sub>22</sub>AMPM–FeCl<sub>3</sub> and (<b>B</b>) UC<sub>22</sub>AMPM–CrCl<sub>3</sub> mixed systems at different molar ratios at 25 °C, respectively. The number at the top of the bottle represents the molar ratio of UC<sub>22</sub>AMPM to FeCl<sub>3</sub> or CrCl<sub>3</sub>. Steady rheology for (<b>C</b>) UC<sub>22</sub>AMPM–FeCl<sub>3</sub> and (<b>D</b>) UC<sub>22</sub>AMPM–CrCl<sub>3</sub> mixed systems at a different molar ratio at 25 °C, respectively.</p>
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<p>(<b>A</b>) The <span class="html-italic">η</span><sub>0</sub> of UC<sub>22</sub>AMPM solution plotted as a function of FeCl<sub>3</sub> or CrCl<sub>3</sub> concentration. (<b>B</b>) The pH for the UC<sub>22</sub>AMPM–CrCl<sub>3</sub> and UC<sub>22</sub>AMPM–FeCl<sub>3</sub> solutions plotted as a function of concentration at 25 °C.</p>
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<p>(<b>A</b>) <span class="html-italic">η</span><sub>0</sub> variations of UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at <span class="html-italic">α</span> = 1:3 by tuning pH. The inserts show macroscopic appearances of UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at pH 7.05 and 3.75, respectively. (<b>B</b>) <span class="html-italic">η</span><sub>0</sub> of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at <span class="html-italic">α</span> = 1:3 against pH cycles between 3.75 and 7.05. Cryo-TEM images of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> blends <span class="html-italic">α</span> = 1:3 at pHs of (<b>C</b>) 3.75 and (<b>D</b>) 7.05.</p>
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<p>(<b>A</b>) Temperature dependence of the apparent viscosity of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at α = 1:1. (<b>B</b>) Shear time dependence of η for the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at 60 °C and 80 °C, respectively. The shear rate for all measurements is fixed at 170 s<sup>−1</sup>.</p>
Full article ">Scheme 1
<p>The chemical structure of <span class="html-italic">N</span>-erucamidopropyl-<span class="html-italic">N, N</span>-dimethylamine (UC<sub>22</sub>AMPM).</p>
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<p>Schematic illustration of the pH-responsive mechanism of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system.</p>
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17 pages, 2949 KiB  
Review
Mitigation of Physical Aging of Polymeric Membrane Materials for Gas Separation: A Review
by Danila S. Bakhtin, Stepan E. Sokolov, Ilya L. Borisov, Vladimir V. Volkov, Alexey V. Volkov and Vadim O. Samoilov
Membranes 2023, 13(5), 519; https://doi.org/10.3390/membranes13050519 - 17 May 2023
Cited by 6 | Viewed by 2881
Abstract
The first commercial hollow fiber and flat sheet gas separation membranes were produced in the late 1970s from the glassy polymers polysulfone and poly(vinyltrimethyl silane), respectively, and the first industrial application was hydrogen recovery from ammonia purge gas in the ammonia synthesis loop. [...] Read more.
The first commercial hollow fiber and flat sheet gas separation membranes were produced in the late 1970s from the glassy polymers polysulfone and poly(vinyltrimethyl silane), respectively, and the first industrial application was hydrogen recovery from ammonia purge gas in the ammonia synthesis loop. Membranes based on glassy polymers (polysulfone, cellulose acetate, polyimides, substituted polycarbonate, and poly(phenylene oxide)) are currently used in various industrial processes, such as hydrogen purification, nitrogen production, and natural gas treatment. However, the glassy polymers are in a non-equilibrium state; therefore, these polymers undergo a process of physical aging, which is accompanied by the spontaneous reduction of free volume and gas permeability over time. The high free volume glassy polymers, such as poly(1-trimethylgermyl-1-propyne), polymers of intrinsic microporosity PIMs, and fluoropolymers Teflon® AF and Hyflon® AD, undergo significant physical aging. Herein, we outline the latest progress in the field of increasing durability and mitigating the physical aging of glassy polymer membrane materials and thin-film composite membranes for gas separation. Special attention is paid to such approaches as the addition of porous nanoparticles (via mixed matrix membranes), polymer crosslinking, and a combination of crosslinking and addition of nanoparticles. Full article
(This article belongs to the Special Issue Surface Modification and Performance Enhancement for Membranes)
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Figure 1
<p>Schematic representation of the temperature dependence of volume or enthalpy of glass-forming materials (<b>a</b>); Schematization of the kinetics of volume or enthalpy recovery (<b>b</b>) (adopted from [<a href="#B7-membranes-13-00519" class="html-bibr">7</a>]).</p>
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<p>Chemical structure of glassy polymers, mentioned in this work: poly(1-trimethylsilyl-propyne), poly(4-methyl-2-pentyne), polymer of intrinsic microporosity PIM-1, and fluoropolymer Teflon<sup>®</sup> AF.</p>
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<p>Nitrogen permeability coefficients of Matrimid<sup>®</sup> films of various thicknesses, as a function of aging time at 35 °C. Reprinted with permission from [<a href="#B50-membranes-13-00519" class="html-bibr">50</a>]. Copyright 2007 American Chemical Society.</p>
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<p>Influence of physical aging on nitrogen permeability (<b>a</b>) and O<sub>2</sub>/N<sub>2</sub> ideal selectivity (<b>b</b>) in Matrimid<sup>®</sup>/PDMS films of various thicknesses, as a function of aging time at 35 °C. Lines were generated from the modified Struik model (adopted from [<a href="#B27-membranes-13-00519" class="html-bibr">27</a>]).</p>
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<p>Samples of PTMSP dense membranes with PAF-11 additives after 510 h of annealing at 100 °C. Reprinted from [<a href="#B77-membranes-13-00519" class="html-bibr">77</a>] with permission from Elsevier.</p>
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<p>SEM micrograph of a multilayer composite membrane consisting of a cross-linked PTMSP gutter layer and Matrimid<sup>®</sup> 5218 selective layer coated on PAN/PPS polymeric porous support (<b>a</b>) and its long-term performance: (<b>b</b>) single gas permeances, measured at 25 °C as a function of time and (<b>c</b>) ideal selectivities (adopted from [<a href="#B68-membranes-13-00519" class="html-bibr">68</a>]).</p>
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<p>TEM visualization of a composite membrane cross-section. Reproduced from [<a href="#B78-membranes-13-00519" class="html-bibr">78</a>] with permission from the Royal Society of Chemistry.</p>
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<p>Gas transport characteristics of the developed bilayer PTMSP/PIM thin film composite membranes and their change during the 95-day aging process (shown by arrows) (adopted from [<a href="#B94-membranes-13-00519" class="html-bibr">94</a>]).</p>
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<p>Comparison of the effect of adding IR-PAN and PAF-11 on the properties of homogeneous membranes (35–40 µm) based on PTMSP: dependence of the CO<sub>2</sub> permeability coefficient on the membrane annealing time at 100 °C in air (adopted from [<a href="#B60-membranes-13-00519" class="html-bibr">60</a>]).</p>
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21 pages, 6930 KiB  
Article
Controlled Swelling of Monolithic Films as a Facile Approach to the Synthesis of UHMWPE Membranes
by Konstantin Pochivalov, Andrey Basko, Tatyana Lebedeva, Mikhail Yurov, Alexey Yushkin, Alexey Volkov and Sergei Bronnikov
Membranes 2023, 13(4), 422; https://doi.org/10.3390/membranes13040422 - 9 Apr 2023
Cited by 3 | Viewed by 1658
Abstract
A new method of fabricating porous membranes based on ultra-high molecular weight polyethylene (UHMWPE) by controlled swelling of the dense film was proposed and successfully utilized. The principle of this method is based on the swelling of non-porous UHMWPE film in organic solvent [...] Read more.
A new method of fabricating porous membranes based on ultra-high molecular weight polyethylene (UHMWPE) by controlled swelling of the dense film was proposed and successfully utilized. The principle of this method is based on the swelling of non-porous UHMWPE film in organic solvent at elevated temperatures, followed by its cooling and further extraction of organic solvent, resulting in the formation of the porous membrane. In this work, we used commercial UHMWPE film (thickness 155 μm) and o-xylene as a solvent. Either homogeneous mixtures of the polymer melt and solvent or thermoreversible gels with crystallites acting as crosslinks of the inter-macromolecular network (swollen semicrystalline polymer) can be obtained at different soaking times. It was shown that the porous structure and filtration performance of the membranes depended on the swelling degree of the polymer, which can be controlled by the time of polymer soaking in organic solvent at elevated temperature (106 °C was found to be the optimal temperature for UHMWPE). In the case of homogeneous mixtures, the resulting membranes possessed both large and small pores. They were characterized by quite high porosity (45–65% vol.), liquid permeance of 46–134 L m−2 h−1 bar−1, a mean flow pore size of 30–75 nm, and a very high crystallinity degree of 86–89% at a decent tensile strength of 3–9 MPa. For these membranes, rejection of blue dextran dye with a molecular weight of 70 kg/mol was 22–76%. In the case of thermoreversible gels, the resulting membranes had only small pores located in the interlamellar spaces. They were characterized by a lower crystallinity degree of 70–74%, a moderate porosity of 12–28%, liquid permeability of up to 12–26 L m−2 h−1 bar−1, a mean flow pore size of up to 12–17 nm, and a higher tensile strength of 11–20 MPa. These membranes demonstrated blue dextran retention of nearly 100%. Full article
(This article belongs to the Special Issue Mixed-Matrix Membranes and Polymeric Membranes 2.0)
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Figure 1
<p>DSC measurement protocol.</p>
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<p>The phase diagram for the HDPE–m-xylene mixture [<a href="#B27-membranes-13-00422" class="html-bibr">27</a>] constructed by optical method and schemes [<a href="#B31-membranes-13-00422" class="html-bibr">31</a>], illustrating structure evolution on a micro- and nanoscale during cooling of the solvent-enriched (1–3) and polymer-enriched (4–6) homogeneous mixtures. Blue color intensity stands for the solvent concentration. Adapted with permission from L.N. Mizerovskii, T.N. Lebedeva, K.V. Pochivalov, Polymer Science Series A; Published by Springer-Nature, 2015 and K.V. Pochivalov et al. Materials Today Communications; Published by Elsevier, 2021.</p>
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<p>DSC-thermograms for the UHMWPE and its mixtures with o-xylene obtained during (<b>a</b>) second heating and (<b>b</b>) first cooling. The mass fraction of the polymer (<span class="html-italic">w</span><sub>2</sub>) is shown to the right of the curves. In (<b>a</b>), peak area (ΔH), melting enthalpy of UHMWPE (ΔH/<span class="html-italic">w</span><sub>2</sub>), and corresponding crystallinity degree (α) values are shown for each curve.</p>
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<p>The phase diagram for the HDPE–m-xylene mixture constructed by the optical method [<a href="#B27-membranes-13-00422" class="html-bibr">27</a>] (hollows circles and black curves) together with DSC data for the UHMWPE–o-xylene mixture (red triangles and curve). See explanation of star and green points in the text. Adapted with permission from L.N. Mizerovskii, T.N. Lebedeva, K.V. Pochivalov, Polymer Science Series A; Published by Springer-Nature, 2015.</p>
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<p>DSC-thermograms obtained during the first heating of the film and membrane samples M1–M5 (<b>a</b>). The porosity of the samples (P) is shown to the right of the curves. Dependence of the UHMWPE crystallinity degree on polymer concentration in its initial mixture with o-xylene (<b>b</b>). Red points were plotted according to DSC data for mixtures during their second heating. Green points correspond to values of the crystallinity degree of the membrane samples M1–M5.</p>
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<p>(<b>a</b>) Examples of engineering stress-strain curves of the initial film and membrane samples both in longitudinal (LD, dashed curves) and transverse (TD, solid curves) directions and mean values of (<b>b</b>) tensile strength and (<b>c</b>) relative elongation at break of these samples.</p>
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<p>SEM images of the surface of the initial film (F) and membrane samples (M1–M5). Red squares highlight the regions where higher magnification images (shown to the left) were taken.</p>
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<p>SEM images of the cross-section of the initial film (F) and membrane samples (M1–M5). Red squares highlight the regions where higher magnification images (shown to the left) were taken.</p>
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<p>(<b>a</b>) MFP and (<b>b</b>) permeance as functions of the porosity of the obtained membrane samples.</p>
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<p>Scheme illustrating the mechanism of the structure formation of membranes by the proposed controlled swelling/deswelling method. Blue color reflects solvent; UHMWPE crystallites are colored green; white and light blue color reflects pure (without solvent) and swollen amorphous regions of UHMWPE, respectively.</p>
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23 pages, 8714 KiB  
Article
Fouling of Polyalkylmethylsiloxane Composite Membranes during Pervaporation Separation of ABE-Fermentation Mixtures
by Tatyana N. Rokhmanka, Evgenia A. Grushevenko, Olga V. Arapova, Galina N. Bondarenko, George S. Golubev, Ilya L. Borisov and Alexey V. Volkov
Appl. Sci. 2023, 13(6), 3827; https://doi.org/10.3390/app13063827 - 16 Mar 2023
Cited by 3 | Viewed by 1932
Abstract
Production of bio-alcohols is one of the approaches used in the development of alternative energy. Pervaporation is a promising option for the separation of bio-alcohols from the fermentation mixture. A serious problem in the process of continuous extraction of biobutanol from the fermentation [...] Read more.
Production of bio-alcohols is one of the approaches used in the development of alternative energy. Pervaporation is a promising option for the separation of bio-alcohols from the fermentation mixture. A serious problem in the process of continuous extraction of biobutanol from the fermentation broth is the contamination of the membrane, which leads to a decrease in its permeability over time. In this work, the transport properties of composite membranes based on polyheptylmethylsiloxane (PHeptMS), polydecylmethylsiloxane (PDecMS), and a commercial membrane MDK-3 were studied during separation of a real ABE-fermentation broth in vacuum pervaporation mode. The study was performed before and after continuous contact of the membranes with the fermentation broth for one month. Visually and by scanning electron spectroscopy, the presence of membrane surface residue and its effect on the wettability of the membrane selective layer by the components of the ABE broth were determined. The sediment composition was evaluated by energy dispersive analysis and infrared spectroscopy. According to the pervaporation separation of the ABE-broth using PHeptMS, PDecMS, and MDK-3 membranes, the butanol flux was 0.029, 0.012, and 0.054 kg/(m2·h), respectively. The butanol-water partition factor was 41, 22, and 13 for PHeptMS, PDecMS, and MDK-3, respectively. After one month of incubation of the membranes in ABE-fermentation broth during the separation of the model mixture, a decrease of 10 and 5% in permeate flux and separation factor, respectively, was observed for all membranes. Temperature dependences (30–60 °C) of permeate flux, permeability, and selectivity were obtained for the membranes after clogging. The most promising in terms of minimal negative changes as a result of fouling was demonstrated by the PHeptMS membrane. For it, the clogging dynamics during separation of the real fermentation broth for 216 h were investigated. Two characteristic steps of decrease in transport and separation properties were observed, after 28 and 150 h of the experiment. After 216 h of experiment, a 1.28-fold decrease in total flux through the membrane, a 9% decrease in butanol permeability, and a 10% decrease in n-butanol selectivity were found for PHeptMS. Full article
(This article belongs to the Special Issue Functional Polymers: Synthesis, Properties and Applications)
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Figure 1
<p>Scheme of the hydrosilylation reaction to produce cross-linked polyalkylmethylsiloxanes.</p>
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<p>Scheme of the vacuum pervaporation setup: 1—a container with a mixing device; 2—a gear pump; 3—a heat exchanger; 4—a membrane module; 5—traps for collecting permeate, placed in Dewar vessels with liquid nitrogen; 6—thermostat; 7—vacuum pump; 8—safety trap; I—initial separable mixture; II—retentate; III—permeate; IV—coolant.</p>
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<p>SEM images of cross sections of initial membranes: (<b>a</b>) MDK-3; (<b>b</b>) PDecMS; (<b>c</b>) PHeptMS.</p>
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<p>Photographs of membranes before: (<b>a</b>) PDecMS; (<b>c</b>) PHeptMS; (<b>e</b>) MDK-3 and after one month of contact with ABE-fermentation broth: (<b>b</b>) PDecMS; (<b>d</b>) PHeptMS; (<b>f</b>) MDK-3.</p>
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<p>Photographs of membranes before: (<b>a</b>) PDecMS; (<b>c</b>) PHeptMS; (<b>e</b>) MDK-3 and after one month of contact with ABE-fermentation broth: (<b>b</b>) PDecMS; (<b>d</b>) PHeptMS; (<b>f</b>) MDK-3.</p>
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<p>SEM images of the surface of the selective membrane layer before: (<b>a</b>) PDecMS; (<b>c</b>) PHeptMS; (<b>e</b>) MDK-3 and after one month of contact with ABE-fermentation broth: (<b>b</b>) PDecMS; (<b>d</b>) PHeptMS; (<b>f</b>) MDK-3.</p>
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<p>IR spectra of the membranes.</p>
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<p>IR spectra of the membranes in the region of 3700–1400 cm<sup>−1</sup>.</p>
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<p>Comparison of partial fluxes (<b>a</b>) and separation factors (<b>b</b>) at 30 °C of PHeptMS, PDecMS, and MDK-3 membranes before and after membrane contact with ABE-fermentation broth.</p>
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<p>Comparison of PSI at 30 °C of PHeptMS, PDecMS, and MDK-3 membranes before and after membrane contact with ABE-fermentation broth.</p>
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<p>Temperature dependences of permeate flow for butanol (<b>a</b>), ethanol (<b>b</b>), acetone (<b>c</b>), and water (<b>d</b>) for PDecMS, PHeptMS, and MDK-3 membranes after contact with the fermentation broth.</p>
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<p>Temperature dependences of permeability for PHeptMS (<b>a</b>), PDecMS (<b>b</b>), and MDK-3 (<b>c</b>).</p>
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<p>Temperature dependences of selectivity for PHeptMS (<b>a</b>), PDecMS (<b>b</b>), and MDK-3 (<b>c</b>).</p>
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<p>Dependence of partial fluxes of components (<b>a</b>), permeability (<b>b</b>), and selectivity (<b>c</b>) on the membrane contact time with ABE-fermentation broth.</p>
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15 pages, 4861 KiB  
Article
A Comparative Study on CO2-Switchable Foams Stabilized by C22- or C18-Tailed Tertiary Amines
by Meiqing Liang, Xuezhi Zhao, Ji Wang and Yujun Feng
Molecules 2023, 28(6), 2567; https://doi.org/10.3390/molecules28062567 - 11 Mar 2023
Cited by 4 | Viewed by 1784
Abstract
The CO2 aqueous foams stabilized by bioresource-derived ultra-long chain surfactants have demonstrated considerable promising application potential owing to their remarkable longevity. Nevertheless, existing research is still inadequate to establish the relationships among surfactant architecture, environmental factors, and foam properties. Herein, two cases [...] Read more.
The CO2 aqueous foams stabilized by bioresource-derived ultra-long chain surfactants have demonstrated considerable promising application potential owing to their remarkable longevity. Nevertheless, existing research is still inadequate to establish the relationships among surfactant architecture, environmental factors, and foam properties. Herein, two cases of ultra-long chain tertiary amines with different tail lengths, N-erucamidopropyl-N,N-dimethylamine (UC22AMPM) and N-oleicamidopropyl-N,N-dimethylamine (UC18AMPM), were employed to fabricate CO2 foams. The effect of temperature, pressure and salinity on the properties of two foam systems (i.e., foamability and foam stability) was compared using a high-temperature, high-pressure visualization foam meter. The continuous phase viscosity and liquid content for both samples were characterized using rheometry and FoamScan. The results showed that the increased concentrations or pressure enhanced the properties of both foam samples, but the increased scope for UC22AMPM was more pronounced. By contrast, the foam stability for both cases was impaired with increasing salinity or temperature, but the UC18AMPM sample is more sensitive to temperature and salinity, indicating the salt and temperature resistance of UC18AMPM-CO2 foams is weaker than those of the UC22AMPM counterpart. These differences are associated with the longer hydrophobic chain of UC22AMPM, which imparts a higher viscosity and lower surface tension to foams, resisting the adverse effects of temperature and salinity. Full article
(This article belongs to the Special Issue Responsive Soft Materials Based on Biomolecules)
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Graphical abstract

Graphical abstract
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<p>The influence of surfactant concentrations on (<b>A</b>) V<sub>max</sub> and (<b>B</b>) t<sub>1/2</sub> of UC<sub>22</sub>AMPM and UC<sub>18</sub>AMPM in atmospheric pressure at 35 °C, respectively.</p>
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<p>Comparison of morphology evolution of CO<sub>2</sub> aqueous foams made from 0.5% UC<sub>22</sub>AMPM and 0.5% UC<sub>18</sub>AMPM with time in atmospheric pressure at 35 °C.</p>
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<p>(<b>A</b>) Variation of the liquid content (<span class="html-italic">φ</span>) for 0.5% UC<sub>22</sub>AMPM and 0.5% UC<sub>18</sub>AMPM as a function of time. (<b>B</b>) Shear viscosity (<span class="html-italic">η</span>) plotted as a function of shear rate for 0.5% UC<sub>22</sub>AMPM and 0.5% UC<sub>18</sub>AMPM solutions at 35 °C.</p>
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<p>Variation in V<sub>max</sub> and t<sub>1/2</sub> of (<b>A</b>) 0.5% UC<sub>22</sub>AMPM and (<b>B</b>) 0.5% UC<sub>18</sub>AMPM foams treated with CO<sub>2</sub> followed by NH<sub>3</sub>·H<sub>2</sub>O, respectively.</p>
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<p>The (<b>A</b>) V<sub>max</sub> and (<b>B</b>) t<sub>1/2</sub> of 0.5% UC<sub>22</sub>AMPM dispersion and 0.5% UC<sub>18</sub>AMPM dispersion plotted as a function of temperature at 3 MPa in the presence of CO<sub>2</sub>, respectively.</p>
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<p>The influence of pressure on (<b>A</b>) V<sub>max</sub> and (<b>B</b>) t<sub>1/2</sub> of 0.5% UC<sub>22</sub>AMPM-CO<sub>2</sub> solution and 0.5% UC<sub>18</sub>AMPM-CO<sub>2</sub> solution, respectively. The experimental temperature is fixed at 120 °C.</p>
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<p>Comparison of the effect of NaCl concentrations on (<b>A</b>) V<sub>max</sub> and (<b>B</b>) t<sub>1/2</sub> of 0.5% UC<sub>22</sub>AMPM-CO<sub>2</sub> solution and 0.5% UC<sub>18</sub>AMPM-CO<sub>2</sub> solution, respectively, at 35 °C under atmospheric pressure.</p>
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<p><sup>1</sup>H NMR spectrum of UC<sub>18</sub>AMPM (400 MHz, CDCl<sub>3</sub>).</p>
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<p><sup>1</sup>H NMR spectrum of UC<sub>22</sub>AMPM (400 MHz, CDCl<sub>3</sub>).</p>
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<p>A schematic diagram of FoamScan setup.</p>
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<p>The chemical structures of <span class="html-italic">N</span>-erucamidopropyl-<span class="html-italic">N,N</span>-dimethylamine (UC<sub>22</sub>AMPM) and <span class="html-italic">N</span>-oleicamidopropyl-<span class="html-italic">N,N</span>-dimethylamine (UC<sub>18</sub>AMPM).</p>
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<p>The protonation of UC<sub>22</sub>AMPM or UC<sub>18</sub>AMPM in the presence of CO<sub>2</sub> and H<sub>2</sub>O at 80 °C, 3 MPa.</p>
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19 pages, 4229 KiB  
Article
Effect of OH-Group Introduction on Gas and Liquid Separation Properties of Polydecylmethylsiloxane
by Evgenia A. Grushevenko, Tatiana N. Rokhmanka, Ilya L. Borisov, Alexey V. Volkov and Stepan D. Bazhenov
Polymers 2023, 15(3), 723; https://doi.org/10.3390/polym15030723 - 31 Jan 2023
Cited by 1 | Viewed by 2771
Abstract
Membrane development for specific separation tasks is a current and important topic. In this work, the influence of OH-groups introduced in polydecylmethylsiloxane (PDecMS) was shown on the separation of CO2 from air and aldehydes from hydroformylation reaction media. OH-groups were introduced to [...] Read more.
Membrane development for specific separation tasks is a current and important topic. In this work, the influence of OH-groups introduced in polydecylmethylsiloxane (PDecMS) was shown on the separation of CO2 from air and aldehydes from hydroformylation reaction media. OH-groups were introduced to PDecMS during hydrosilylation reaction by adding 1-decene with undecenol-1 to polymethylhydrosiloxane, and further cross-linking. Flat sheet composite membranes were developed based on these polymers. For obtained membranes, transport and separation properties were studied for individual gases (CO2, N2, O2) and liquids (1-hexene, 1-heptene, 1-octene, 1-nonene, heptanal and decanal). Sorption measurements were carried out for an explanation of difference in transport properties. The general trend was a decrease in membrane permeability with the introduction of OH groups. The presence of OH groups in the siloxane led to a significant increase in the selectivity of permeability with respect to acidic components. For example, on comparing PDecMS and OH-PDecMS (~7% OH-groups to decyl), it was shown that selectivity heptanal/1-hexene increased eight times. Full article
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<p>Scheme of hydrosilylation reaction with cross-linked polysiloxanes obtaining: (<b>a</b>) PDecMS and (<b>b</b>) OH-PDecMS.</p>
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<p>Schematic drawing of composite membrane formation process.</p>
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<p>Lab set-up of mix gas permeability measurements: 1—feed on/off valve, 2—pressure regulator, 3—feed pressure gauge, 4—stainless steel module, 5—permeate pressure gauge, 6—permeate bubble mass flowmeter.</p>
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<p><sup>1</sup>H NMR spectra of OH-PdecMS (1) and PdecMS (2).</p>
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<p>Thermograms of OH-PdecMS (1) and PdecMS (2).</p>
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<p>Solubility coefficient (S) of olefines and aldehydes in OH-PDecMS (<b>a</b>), and PDecMS (<b>b</b>), at 30–60 °C.</p>
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<p>SEM images of OH-PDecMS (<b>a</b>), and PDecMS (<b>b</b>), composite membranes.</p>
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<p>Permeating flux of pure gases through (<b>a</b>) OH-PDecMS and (<b>b</b>) PDecMS composite membranes as a function of pressure drop at 25 °C.</p>
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<p>Permeability temperature dependencies of olefines and aldehydes through (<b>a</b>) OH-PDecMS, and (<b>b</b>) PDecMS.</p>
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17 pages, 7174 KiB  
Article
Mitigating of Thin-Film Composite PTMSP Membrane Aging by Introduction of Porous Rigid and Soft Branched Polymeric Additives
by Danila S. Bakhtin, Alexander O. Malakhov, Alexey V. Volkov, Leonid A. Kulikov, Inna V. Petrova, Ilya L. Borisov and Stepan D. Bazhenov
Membranes 2023, 13(1), 21; https://doi.org/10.3390/membranes13010021 - 23 Dec 2022
Cited by 1 | Viewed by 1863
Abstract
This work was focused on the mitigation of physical aging in thin-film composite (TFC) membranes (selective layer ~1 μm) based on polymer intrinsic microporosity (PTMSP) by the introduction of both soft, branched polyethyleneimine (PEI), and rigid, porous aromatic framework PAF-11, polymer additives. Self-standing [...] Read more.
This work was focused on the mitigation of physical aging in thin-film composite (TFC) membranes (selective layer ~1 μm) based on polymer intrinsic microporosity (PTMSP) by the introduction of both soft, branched polyethyleneimine (PEI), and rigid, porous aromatic framework PAF-11, polymer additives. Self-standing mixed-matrix membranes of thicknesses in the range of 20–30 μm were also prepared with the same polymer and fillers. Based on 450 days of monitoring, it was observed that the neat PTMSP composite membrane underwent a severe decline of its gas transport properties, and the resultant CO2 permeance was 14% (5.2 m3 (STP)/(m2·h·bar)) from the initial value measured for the freshly cast sample (75 m3 (STP)/(m2·h·bar)). The introduction of branched polyethyleneimine followed by its cross-linking allowed to us to improve the TFC performance maintaining CO2 permeance at the level of 30% comparing with day zero. However, the best results were achieved by the combination of porous, rigid and soft, branched polymeric additives that enabled us to preserve the transport characteristics of TFC membrane as 43% (47 m3 (STP)/(m2·h·bar) after 450 days) from its initial values (110 m3 (STP)/(m2·h·bar)). Experimental data were fitted using the Kohlrausch–Williams–Watts function, and the limiting (equilibrium) values of the CO2 and N2 permeances of the TFC membranes were estimated. The limit value of CO2 permeance for neat PTMSP TFC membrane was found to be 5.2 m3 (STP)/(m2·h·bar), while the value of 34 m3(STP)/(m2·h·bar) or 12,600 GPU was achieved for TFC membrane containing 4 wt% cross-linked PEI, and 30 wt% PAF-11. Based on the N2 adsorption isotherms data, it was calculated that the reduction of the free volume was 1.5–3 times higher in neat PTMSP compared to the modified one. Bearing in mind the pronounced mitigation of physical aging by the introduction of both types of fillers, the developed high-performance membranes have great potential as support for the coating of an ultrathin, selective layer for gas separation. Full article
(This article belongs to the Section Membrane Physics and Theory)
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<p>Chemical structure of polymers poly(1-trimethylsilyl-1-propyne), branched polyethyleneimine, and porous aromatic framework PAF-11.</p>
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<p>SEM images of the cross-section of TFC membranes: (<b>a</b>) neat PTMSP, (<b>b</b>) M0, (<b>c</b>) M20, (<b>d</b>,<b>e</b>) M30; and surface of M30 (<b>f</b>).</p>
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<p>SEM images of the cross-section of TFC membranes: (<b>a</b>) neat PTMSP, (<b>b</b>) M0, (<b>c</b>) M20, (<b>d</b>,<b>e</b>) M30; and surface of M30 (<b>f</b>).</p>
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<p>SEM images of the cross-section of TFC membranes after 60 s exposition in chloroform: (<b>a</b>) a neat PTMSP, (<b>b</b>) M0, (<b>c</b>) M20, and (<b>d</b>) M30 cross-section.</p>
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<p>SEM images of the cross-section of TFC membranes after 60 s exposition in chloroform: (<b>a</b>) a neat PTMSP, (<b>b</b>) M0, (<b>c</b>) M20, and (<b>d</b>) M30 cross-section.</p>
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<p>Absolute (<b>a</b>) and relative (<b>b</b>) CO<sub>2</sub> and N<sub>2</sub> permeances for TFC membrane with PTMSP selective layer vs. aging time. The CO<sub>2</sub>/N<sub>2</sub> selectivity is also shown. Points, experiment; lines, approximation using Equation (9).</p>
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<p>Absolute (<b>a</b>) and relative (<b>b</b>) CO<sub>2</sub> permeances for TFC membranes with PTMSP and PTMSP/PEI/PAF-11 selective layer vs. aging time. Membranes M0, M20, and M30 contain 0, 20 and 30% porous filler PAF-11, respectively. Points, experiment; lines, approximation using Equation (9).</p>
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<p>(<b>a</b>) Adsorption isotherms of nitrogen on PAF-11 and PTMSP samples and (<b>b</b>) adsorption isotherms of nitrogen on M0 (PTMSP/PEI), M20 (PTMSP/PEI/20% PAF-11), and M30 (PTMSP/PEI/30% PAF-11) samples. The isotherms for M20 and M30 were shifted by 80 and 160 cm<sup>3</sup> STP/g, respectively. Closed and open symbols denote PTMSP-based samples before and after CO<sub>2</sub> exposure, respectively.</p>
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22 pages, 9796 KiB  
Article
A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
by Jose Alejandro Galaviz-Aguilar, Cesar Vargas-Rosales, José Ricardo Cárdenas-Valdez, Daniel Santiago Aguila-Torres and Leonardo Flores-Hernández
Sensors 2022, 22(19), 7461; https://doi.org/10.3390/s22197461 - 1 Oct 2022
Cited by 1 | Viewed by 1841
Abstract
A good approximation to power amplifier (PA) behavioral modeling requires precise baseband models to mitigate nonlinearities. Since digital predistortion (DPD) is used to provide the PA linearization, a framework is necessary to validate the modeling figures of merit support under signal conditioning and [...] Read more.
A good approximation to power amplifier (PA) behavioral modeling requires precise baseband models to mitigate nonlinearities. Since digital predistortion (DPD) is used to provide the PA linearization, a framework is necessary to validate the modeling figures of merit support under signal conditioning and transmission restrictions. A field-programmable gate array (FPGA)-based testbed is developed to measure the wide-band PA behavior using a single-carrier 64-quadrature amplitude modulation (QAM) multiplexed by orthogonal frequency-division multiplexing (OFDM) based on long-term evolution (LTE) as a stimulus, with different bandwidths signals. In the search to provide a heuristic target approach modeling, this paper introduces a feature extraction concept to find an appropriate complexity solution considering the high sparse data issue in amplitude to amplitude (AM-AM) and amplitude to phase AM-PM models extraction, whose penalties are associated with overfitting and hardware complexity in resulting functions. Thus, experimental results highlight the model performance for a high sparse data regime and are compared with a regression tree (RT), random forest (RF), and cubic-spline (CS) model accuracy capabilities for the signal conditioning to show a reliable validation, low-complexity, according to the peak-to-average power ratio (PAPR), complementary cumulative distribution function (CCDF), coefficients extraction, normalized mean square error (NMSE), and execution time figures of merit. The presented models provide a comparison with original data that aid to compare the dimension and robustness for each surrogate model where (i) machine learning (ML)-based and (ii) CS interpolate-based where high sparse data are present, NMSE between the CS interpolated based are also compared to demonstrate the efficacy in the prediction methods with lower convergence times and complexities. Full article
(This article belongs to the Special Issue Advances in Sparse Sensor Arrays)
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<p>General diagram of the proposed behavioral model on indirect learning approach.</p>
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<p>General diagram of a RT.</p>
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<p>Block diagram of the construction process of a RT.</p>
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<p>Complexity for the; (<b>a</b>) Construction process of a RT and (<b>b</b>) Allocated memory of the RT model (<b>c</b>) Prediction runtime of the model. The star denotes the Case 2 approximation results.</p>
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<p>Complexity for the; (<b>a</b>) Construction process of a RF and (<b>b</b>) Allocated memory of the RF model (<b>c</b>) Prediction runtime of the model. The star denotes the Case 2 approximation results.</p>
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<p>Approximation for a fitted model with polynomial basis.</p>
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<p>Approximation model with b-spline basis.</p>
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<p>Proposed testbed block diagram of the characterization and linearization for the PA. (<b>A</b>) denotes the FPGA digital to RF stage, and (<b>B</b>) analog part with devices and measurement equipment.</p>
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<p>Experimental testbed photograph. Relevant instruments depicted as follows. 1: Altera Cyclone V FPGA SoC-Kit. 2: AD9361 RF Agile Transceiver working at <math display="inline"><semantics> <mrow> <mn>2.45</mn> </mrow> </semantics></math> GHz center frequency. 3: Power amplifier Mini-Circuits ZX60-V<math display="inline"><semantics> <mrow> <mn>63</mn> <mo>+</mo> </mrow> </semantics></math>. 4: Power Supply GW INSTEK GPS<math display="inline"><semantics> <mrow> <mtext>-</mtext> <mn>3303</mn> </mrow> </semantics></math>. 5: Spectrum Analyzer GW INSTEK GSP<math display="inline"><semantics> <mrow> <mtext>-</mtext> <mn>830</mn> </mrow> </semantics></math>. 6: Display HOST PC-MATLAB.</p>
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<p>An extract feature block model approach for the PA (connections model referred to a feature surrogate dependent on a complex input envelope with an indirect learning approach). (<b>A</b>) denotes the PA model extraction and, (<b>B</b>) the PD construction process.</p>
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<p>Modeling extraction and evaluation for the LTE 10-MHz and construction process of the AM-AM PA model for the DPD output linearization with CS model basis for a <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </semantics></math> PD model normalization ≤<math display="inline"><semantics> <mrow> <mo>=</mo> <mn>0.9999</mn> </mrow> </semantics></math> after 5 iterations reach an NMSE <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>48.7995</mn> </mrow> </semantics></math> @ <math display="inline"><semantics> <mrow> <mn>2.45</mn> </mrow> </semantics></math> GHz.</p>
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<p>FPGA hardware resource use for the AM-AM PA model with RT implementation (in terms of, ALM, DSP, M10K, and Memory Bits).</p>
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<p>(<b>a</b>) Gain for the normalized for output signal using RT prediction model (<b>b</b>) CCDF for the PA output signal and the RT prediction model.</p>
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<p>Modeling extraction and evaluation for the; (<b>a</b>) Construction process of the AM-AM PA model with RT and (<b>b</b>) PSD of the output PA spectral regrowth with RT model basis.</p>
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<p>PSD for the LTE 10-MHz PA output signal and the CS prediction model with the actual predistorter <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </semantics></math> model normalization ≤<math display="inline"><semantics> <mrow> <mo>=</mo> <mn>0.9999</mn> </mrow> </semantics></math> after 5 iterations reach an NMSE= <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>48.7995</mn> </mrow> </semantics></math> @ <math display="inline"><semantics> <mrow> <mn>2.45</mn> </mrow> </semantics></math> GHz.</p>
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<p>LTE 15-MHz PA output signal: (<b>a</b>) Construction process of the AM-PM characteristic model and (<b>b</b>) PSD for the LTE 15-MHz PA output signal and the iterative PD CS linearization result.</p>
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