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学者姓名：汪淑慧
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Abstract ：
Background: The residual fluoroquinolone antibiotics (FQs) in the environment and food has raised public concerns over their potential impact on human health. Terahertz metamaterial sensors (TMSs) have garnered significant attention due to their capability to enhance the interaction between terahertz waves and antibiotic molecules, enabling the detection of trace antibiotics. However, conventional quantitative and qualitative methods based on TMSs suffer from low accuracy and cumbersome processes, respectively. Herein, this work proposed a novel approach that reconstructed optimal terahertz response features of different TMSs with machine learning algorithms, which allowed for analysis of three similar trace FQs with enhanced accuracy. Results: The prepared three patterned TMSs exhibited different resonance responses, which varied with changes in FQs types and concentrations. The resonance peak features of the three TMSs were fused to construct the resonance peak feature matrix (W0) and combined with the K-Nearest Neighbor (KNN) algorithm to build the W0-KNN classification model. The interval feature matrix was constructed by optimizing and expanding the resonance peak feature width. The optimal resonance peak interval feature matrix (Wt) was combined with Gaussian process regression (GPR) algorithms with different kernel functions to build the Wt-GPR quantitative model. The results showed that W0-KNN achieved 100 % classification accuracy for the three FQs. Wt-GPR exhibited high quantitative accuracy for all three FQs with the determination coefficient (R2) of 0.94-0.98, and root mean square error (RMSE) of 6.4085-10.6540. The results of Wt-GPR with different kernel functions had small fluctuations, demonstrating high stability in predictive performance. Significance: Reconstructing features from multi-TMSs in combination with machine learning algorithms enables rapid, precise, and reliable qualitative and quantitative analysis of trace FQs. Our research introduces innovative concepts and methodologies to detect trace FQs using TMS-based sensors, paving the way for future applications of TMS in the biomolecular sensing and detection.
Keyword ：
Biomolecular sensing Biomolecular sensing Fluoroquinolone antibiotics Fluoroquinolone antibiotics Machine learning Machine learning Terahertz metamaterials sensor Terahertz metamaterials sensor Trace detection Trace detection
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| GB/T 7714 | Zhang, Lintong , Kong, Xiangzeng , Wang, Shuhui et al. Resonance features integration of multiple terahertz metamaterials sensors for qualification and quantification of trace fluoroquinolone antibiotics [J]. | ANALYTICA CHIMICA ACTA , 2025 , 1345 . |
| MLA | Zhang, Lintong et al. "Resonance features integration of multiple terahertz metamaterials sensors for qualification and quantification of trace fluoroquinolone antibiotics" . | ANALYTICA CHIMICA ACTA 1345 (2025) . |
| APA | Zhang, Lintong , Kong, Xiangzeng , Wang, Shuhui , Zhang, Wenqing , Wu, Libin , Liu, Xinze et al. Resonance features integration of multiple terahertz metamaterials sensors for qualification and quantification of trace fluoroquinolone antibiotics . | ANALYTICA CHIMICA ACTA , 2025 , 1345 . |
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The development of efficient and accurate methods for detecting contamination in agri-foods is critical for ensuring food safety. Terahertz time-domain spectroscopy (THz-TDS), distinguished by its unique spectral characteristics and nondestructive detection capabilities, emerges as a powerful tool for analyzing agri-food safety. This review systematically examines the integration of THz-TDS with frontier technologies (machine learning [ML], metamaterials [MM], microfluidics [MF], and functional nanomaterials [FN]) to enhance detection capabilities. The article delves into the advancements achieved in detecting physical, chemical, and microbial contaminants in agri-food over the past five years (2020-2024) through the integration of THz-TDS with these frontier technologies. Based on the current state of research, this article summarizes the challenges and prospects of THz-TDS with interdisciplinary integration technologies in applications. To advance THz-TDS for agri-food safety monitoring, multidisciplinary integration is required. ML is critical for deciphering complex THz spectral datasets, while MM play a pivotal role in amplifying analyte-specific spectral signatures. FN leverage their potential high-throughput specific adsorption and plasmonic resonance properties to enhance detection sensitivity and specificity. The MF systems can reduce absorption induced by water. This review aims to provide new insights into the multidisciplinary convergence to propel THz-TDS toward transformative agri-food safety applications.
Keyword ：
Agri-food safety Agri-food safety interdisciplinary integration technologies interdisciplinary integration technologies nondestructive detection nondestructive detection terahertz spectroscopy terahertz spectroscopy
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| GB/T 7714 | Zhang, Lintong , Wang, Shuhui , Yang, Wangjincheng et al. A Comprehensive Review of Terahertz Time-Domain Spectroscopy for Agri-Food Safety Detection: Enhanced Sensing Performance Through Multidisciplinary Technology Integration [J]. | CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY , 2025 . |
| MLA | Zhang, Lintong et al. "A Comprehensive Review of Terahertz Time-Domain Spectroscopy for Agri-Food Safety Detection: Enhanced Sensing Performance Through Multidisciplinary Technology Integration" . | CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY (2025) . |
| APA | Zhang, Lintong , Wang, Shuhui , Yang, Wangjincheng , Liu, Xinze , Wei, Zenghui , Abdalla, Alwaseela et al. A Comprehensive Review of Terahertz Time-Domain Spectroscopy for Agri-Food Safety Detection: Enhanced Sensing Performance Through Multidisciplinary Technology Integration . | CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY , 2025 . |
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Background: Pefloxacin (PEF), a widely used broad-spectrum antimicrobial, garners considerable scientific concern due to its inherent biotoxicity and potential risk of antibiotic resistance gene transfer. Current detection methods remain time-and labor-intensive, while exhibiting inadequate sensitivity for precise trace-level quantification. Targeted enhancement of the response signal of the target analyte is a key focus in biochemical molecular sensing detection. Terahertz metamaterials sensors (TMSs) are commonly used to enhance the terahertz (THz) spectral response signals of target analytes, but suffer from inherent specificity limitations, requiring complex surface chemical modifications. Results: This study designed a rotationally symmetric TMS (resonance peaks at 0.763 THz and 1.007 THz) targeting PEF fingerprint peaks (0.778 THz and 0.954 THz), achieving specificity-enhanced detection of PEF through physical resonance characteristics. To address low accuracy in conventional univariate regression models, an improved recursive feature elimination-multivariate linear regression (IRFE-MLR) algorithm framework was proposed. The designed TMS exhibited high resonance matching (S value = 98.5 % and 94.7 %) with PEF, and the IRFE-MLR model significantly enhanced trace detection performance (R2 = 0.95, RMSE = 9.36) compared to the univariate model (R2 = 0.82, RMSE = 19.31), achieving a detection limit of 5 ng/L and a mean recovery rate of 115.13 % (RSD = 5.91 %). Comparative tests of PEF, enrofloxacin (ENR), and nadifloxacin (NAD) revealed that the TMS exhibited superior sensitivity to PEF at 0.763 THz, attributed to its high Q-factor (sharp resonance) and S value. The former enhanced dielectric response sensitivity, while the latter strengthened near-field coupling for analyte-TMS interaction. Significance: This study provides a high-sensitivity and high-reliable PEF residue sensing strategy without complex surface modification and provides an extensible design paradigm for specificity-enhanced TMS. The proposed method can be extended to ultra-trace detection of other critical biochemical hazards, holding significant implications for environmental pollution control and food safety assurance.
Keyword ：
Pefloxacin Pefloxacin Resonance matching degree Resonance matching degree Specificity-enhanced Specificity-enhanced Terahertz metamaterials sensor Terahertz metamaterials sensor Trace detection Trace detection
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| GB/T 7714 | Zhang, Lintong , Yang, Jingsen , Zhang, Jiachen et al. Resonance-matched terahertz metamaterials integrated with IRFE-MLR framework enabling specificity-enhanced detection of trace pefloxacin [J]. | ANALYTICA CHIMICA ACTA , 2025 , 1374 . |
| MLA | Zhang, Lintong et al. "Resonance-matched terahertz metamaterials integrated with IRFE-MLR framework enabling specificity-enhanced detection of trace pefloxacin" . | ANALYTICA CHIMICA ACTA 1374 (2025) . |
| APA | Zhang, Lintong , Yang, Jingsen , Zhang, Jiachen , Yang, Wangjincheng , Liu, Xinze , Wang, Shuhui et al. Resonance-matched terahertz metamaterials integrated with IRFE-MLR framework enabling specificity-enhanced detection of trace pefloxacin . | ANALYTICA CHIMICA ACTA , 2025 , 1374 . |
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The residues of fluoroquinolone antibiotics (FQs) have attracted widespread attention due to their potential health risks. Given the high structural similarity among FQs, traditional methods for analyzing their mixed residues are often complex and inaccurate. This study proposed a method combining terahertz (THz) spectroscopy and machine learning for qualitative and quantitative analysis of multicomponent mixtures containing four FQs (nadifloxacin [NAD], pefloxacin [PEF], ofloxacin [OFL], and enrofloxacin [ENR]) at low mass ratios (0.067-0.333). For qualitative analysis, multi-step preprocessing (MP) and support vector machine (SVM) were integrated to develop the MP-SVM model. The MP-SVM achieved an average classification accuracy of 0.967 for the four FQs in test sets. While MP enabled high-resolution qualitative discrimination, it was insufficient for accurate quantification of complex FQ mixtures. Consequently, further optimizations of feature data and model parameters were conducted for quantitative analysis. Specifically, a high-quality feature matrix (T) was constructed by merging fingerprint features of each FQ. The sparrow search algorithm (SSA) was employed to optimize support vector regression (SVR) parameters, forming the MP-T-SSA-SVR model. This model significantly improved quantitative performance, with a coefficient of determination (R2) of 0.971-0.972, a root mean square error (RMSE) of 3.405-3.514, and a mean absolute error (MAE) of 2.090-2.400 in test sets. Compared to similar studies, this work involves more diverse FQs with higher structural similarity, providing a new reference for advancing qualitative and quantitative analysis of practical multicomponent mixtures.
Keyword ：
Fluoroquinolone antibiotics Fluoroquinolone antibiotics Multicomponent mixtures Multicomponent mixtures Qualitative and quantitative analysis Qualitative and quantitative analysis Similar molecular structures Similar molecular structures Terahertz spectroscopy Terahertz spectroscopy
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| GB/T 7714 | Zhang, Lintong , Liu, Xinze , Yang, Jingsen et al. Qualitative and Quantitative Analysis of Multivariate Mixed Fluoroquinolone Antibiotics Based on Terahertz Spectroscopy [J]. | JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES , 2025 , 46 (10) . |
| MLA | Zhang, Lintong et al. "Qualitative and Quantitative Analysis of Multivariate Mixed Fluoroquinolone Antibiotics Based on Terahertz Spectroscopy" . | JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES 46 . 10 (2025) . |
| APA | Zhang, Lintong , Liu, Xinze , Yang, Jingsen , Wang, Shuhui , Zhang, Jiachen , Yang, Wangjincheng et al. Qualitative and Quantitative Analysis of Multivariate Mixed Fluoroquinolone Antibiotics Based on Terahertz Spectroscopy . | JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES , 2025 , 46 (10) . |
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The development of efficient noble metal-free heterogeneous catalysts with simple synthesis processes is of great value in synthetic chemistry. So far, the performance of heterogeneous catalysts under different acidic and alkaline conditions has rarely been considered. Herein, we demonstrate a multifunctional Cu@C2N catalyst for pH switchable hydration of alkynes and the Glaser-Hay reaction, with maximum yields reaching 92% and 95%, respectively. The efficient conversion arises from strong metal-support synergistic effects, as the C2N support adsorbs the reaction substrate and the Cu metal activates the reaction substrate well, collaboratively facilitating the conversion of alkynes. Furthermore, the Cu@C2N catalyst shows good substrate compatibility and recyclability, which can be simply recovered and reused five times without significant loss of its catalytic activity. In addition, the Cu@C2N catalyst has abundant acidic and alkaline sites, and the valence state and dispersed form of Cu can be well stabilized by C2N. This work proves the successful application of a C2N-based catalyst in the field of organic synthesis and points out the directions for designing low-cost, widely adaptable and environmentally-friendly catalytic systems.
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| GB/T 7714 | Li, Yuanjin , Yang, Tianyu , Wang, Shuhui et al. A recyclable Cu@C2N nano-catalyst applied in the transformation of alkynes: pH switchable access to ketones and 1,3-diynes [J]. | GREEN CHEMISTRY , 2024 , 26 (5) : 2540-2545 . |
| MLA | Li, Yuanjin et al. "A recyclable Cu@C2N nano-catalyst applied in the transformation of alkynes: pH switchable access to ketones and 1,3-diynes" . | GREEN CHEMISTRY 26 . 5 (2024) : 2540-2545 . |
| APA | Li, Yuanjin , Yang, Tianyu , Wang, Shuhui , Bian, Zuqiang , Liu, Zhiwei . A recyclable Cu@C2N nano-catalyst applied in the transformation of alkynes: pH switchable access to ketones and 1,3-diynes . | GREEN CHEMISTRY , 2024 , 26 (5) , 2540-2545 . |
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本发明涉及促进微生物生长代谢的方法及技术领域，公开了一种基于热释电效应促进微生物生长代谢的方法及应用，包括以下步骤：将电活性微生物与热释电纳米材料结合形成生物杂化体，在温度波动造成变温循环的环境条件下，基于热释电效应的材料会产生极化电子作为电子来源，传递给微生物利用，促进微生物的生长代谢及电子受体的氧化还原。通过利用热释电效应形成自供能的生物杂化体系，能够有效克服寡营养环境中能量来源缺乏的问题，促进黑暗环境中的微生物生长代谢活动，进而获得微生物代谢产物以及对应的环境功能。
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| GB/T 7714 | 周顺桂 , 汪淑慧 , 杨朝辉 et al. 一种基于热释电效应促进微生物生长代谢的方法及应用 : CN202411074878.X[P]. | 2024-08-07 . |
| MLA | 周顺桂 et al. "一种基于热释电效应促进微生物生长代谢的方法及应用" : CN202411074878.X. | 2024-08-07 . |
| APA | 周顺桂 , 汪淑慧 , 杨朝辉 , 叶捷 . 一种基于热释电效应促进微生物生长代谢的方法及应用 : CN202411074878.X. | 2024-08-07 . |
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本发明公开一种铋基金属有机框架材料光催化剂及其制备方法，其制备方法包括：预先称取各制备原料、制备第一催化剂半成品、制备第二催化剂半成品以及水热合成制得铋基金属有机框架材料光催化剂成品；本发明通过混合溶剂热法将硝酸铋、2‑巯基烟酸、氢氧化钾和二甲基甲酰胺制成第一催化剂半成品，并通过混合溶剂热法将五水合硝酸铋、乙二醇、溴化钾、去离子水和氨水支撑第二催化剂半成品，再水溶液为反应介质对第一催化剂半成品和第二催化剂半成品水热合成以复合制成铋基金属有机框架材料光催化剂，相比现有的金属有机框架材料光催化剂选料更为丰富，具备良好的单元可调性和突出的吸光能力，以及优异的光催化降解能力，降解污染物效率也较高。
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| GB/T 7714 | 李沅锦 , 涂圣雄 , 汪淑慧 . 一种铋基金属有机框架材料光催化剂及其制备方法 : CN202311067134.0[P]. | 2023-08-23 . |
| MLA | 李沅锦 et al. "一种铋基金属有机框架材料光催化剂及其制备方法" : CN202311067134.0. | 2023-08-23 . |
| APA | 李沅锦 , 涂圣雄 , 汪淑慧 . 一种铋基金属有机框架材料光催化剂及其制备方法 : CN202311067134.0. | 2023-08-23 . |
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本发明涉及抗菌技术领域，具体公开了一种金属有机框架复合抗菌膜及其制备方法。使用5‑氨基烟酸、硝酸银和2‑氨基对苯二甲酸反应得到带有氨基的银有机框架材料，使用氯乙酸对氧化石墨烯进行改性，再通过与2‑羟基‑5‑氯甲基苯甲醛反应得到氯改性氧化石墨烯，再和甲基丙烯酸二甲氨乙酯反应得到季铵盐接枝石墨烯，将金属有机框架材料和季铵盐接枝石墨烯分散均匀后，得到分散液，将聚己内酯纤维膜浸入分散液吸附沉淀，吸附沉淀完成后，干燥，得到金属有机框架复合抗菌膜，具有优良的力学性能引入的季铵盐、席夫碱、银有机框架、石墨烯等赋予膜材料长久的抗菌功效。
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| GB/T 7714 | 李沅锦 , 施少鹏 , 汪淑慧 . 一种金属有机框架复合抗菌膜及其制备方法 : CN202310672469.9[P]. | 2023-06-08 . |
| MLA | 李沅锦 et al. "一种金属有机框架复合抗菌膜及其制备方法" : CN202310672469.9. | 2023-06-08 . |
| APA | 李沅锦 , 施少鹏 , 汪淑慧 . 一种金属有机框架复合抗菌膜及其制备方法 : CN202310672469.9. | 2023-06-08 . |
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The cathode interlayer (CIL) has significant impact on the performance of organic solar cells (OSCs), including the abilities to align energy levels, form ohmic contacts between the active layer and the electrode, and promote the electron extraction and transportation. However, the developments of CILs are still far behind the rapid explosion of active layer materials, especially for these non-fullerene acceptors (NFAs). This research provides a brand-new CIL optimization approach by applying the nonconjugated small-molecule zwitterion (NSMZ) as the morphology control additives (MCAs). Two novel NSMZs, 4-(1-methyl piperidin-1-ium-1-yl)butane-1-sulfonate (MPBS) and 3-(1-methylpiperidin-1-ium-1-yl)-propane-1-sulfonate, are developed as MCAs for the improvements of short-circuit current, fill factor, and power conversion efficiency (PCE) in various solar cell systems of the classic active layers and CILs. The interaction mechanism is systematically investigated. With the reduced energy barrier and suppressed electron recombination, a champion PCE of 18.65% on binary NFA-OSCs is achieved by incorporating the zwitterion of MPBS into the cathode interlayer as the additive, which is among the highest efficiency of the reported binary OSCs. The application of the zwitterion as MCAs for the cathode interlayer opens a novel avenue for highly efficient OSCs.
Keyword ：
cathode interlayers cathode interlayers morphology control additives morphology control additives nonconjugated small-molecule zwitterions nonconjugated small-molecule zwitterions organic solar cells organic solar cells
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| GB/T 7714 | Wen, Junjie , Lin, Rui , Wang, Shuhui et al. Semicrystalline Cathode Interlayer Based on Morphology Control Additives Using Nonconjugated Small-Molecule Zwitterions for Efficient Organic Solar Cells [J]. | SOLAR RRL , 2022 , 6 (11) . |
| MLA | Wen, Junjie et al. "Semicrystalline Cathode Interlayer Based on Morphology Control Additives Using Nonconjugated Small-Molecule Zwitterions for Efficient Organic Solar Cells" . | SOLAR RRL 6 . 11 (2022) . |
| APA | Wen, Junjie , Lin, Rui , Wang, Shuhui , Hu, Hui-Chao , Zhou, Hui , Xie, Yu et al. Semicrystalline Cathode Interlayer Based on Morphology Control Additives Using Nonconjugated Small-Molecule Zwitterions for Efficient Organic Solar Cells . | SOLAR RRL , 2022 , 6 (11) . |
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The development of commercially promising ZnO-based photocatalysts for CO2 reduction without photosensitizers and scavengers has encountered bottlenecks due to low photon utilization and easy recombination of photoexcited electron-hole pairs. Herein, a p-Co3O4@n-ZnO surface heterojunction photocatalyst (simplified as Co3O4@ZnO), composed of ZnO nanorods surface-synergized with Co3O4 nanosheets, has been constructed for efficient CO2 photoreduction using a facile in situ solution-fabricated approach. The resulting Co3O4@ZnO demonstrates a dramatic 36-fold higher catalytic activity (89.26 mu mol g(-1) h(-1)) than pristine ZnO (2.44 mu mol g(-1) h(-1)) under simulated sunlight, with a long-term durability of 30 h. Various characterizations and finite difference time domain simulations reveal that the formed Co3O4@ZnO surface p-n heterojunctions expand the light absorption range, promote the separation of photocarriers, and accelerate the charge transport, thereby benefiting the photocatalytic efficiency and stability. In addition, on the surface of heterojunctions, the accumulated electrons and adsorbed protons further encourage the evolution of CH4 products, which makes the CH4 selectivity of Co3O4@ZnO (70.5%) far exceed that of pristine ZnO (12.4%). This work provides guidance in the fabrication of efficient and convenient heterojunction photocatalysts for CO2 conversion into carbon fuels, and is anticipated to promote the popularization and application of ZnO-based photocatalysts.
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| GB/T 7714 | Wang, Qiuyan , Chen, Kui , Wang, Shuhui et al. An in situ-fabricated p-Co3O4@n-ZnO surface heterojunction photocatalyst for solar-to-fuel conversion of CO2 [J]. | MATERIALS CHEMISTRY FRONTIERS , 2022 , 7 (3) : 523-534 . |
| MLA | Wang, Qiuyan et al. "An in situ-fabricated p-Co3O4@n-ZnO surface heterojunction photocatalyst for solar-to-fuel conversion of CO2" . | MATERIALS CHEMISTRY FRONTIERS 7 . 3 (2022) : 523-534 . |
| APA | Wang, Qiuyan , Chen, Kui , Wang, Shuhui , Jiang, Daheng , Ma, Changqiu , Zhu, Lixin et al. An in situ-fabricated p-Co3O4@n-ZnO surface heterojunction photocatalyst for solar-to-fuel conversion of CO2 . | MATERIALS CHEMISTRY FRONTIERS , 2022 , 7 (3) , 523-534 . |
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