ACS Sensors
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2025
·
IF 9.1
Yingjin Ma,Man-Chung Wong,Menglin Song,Pui Wang,Yuan Liu,Yifei Zhao,Honglin Chen,Juewen Liu,Jianhua Hao
Outbreaks of SARS-CoV-2, first investigated as an unknown pathogen, have reflected the severe threat that pathogen X poses to public health and social security. Early and precise diagnosis and classification of infectious respiratory diseases with similar symptoms are essential for the risk assessment of public health or epidemiological investigations. Current technologies are limited to detect known viruses, leading to false negatives for novel or mutated pathogens. Here, we propose an ML-assisted SERS strategy for screening various types of respiratory viruses and potential pathogen X in cases with similar infectious symptoms. A label-free 3D plasmonic Au-PS SERS chip was designed to amplify the Raman signal over 103-fold compared to a conventional Au substrate. An ensemble ML model was developed to analyze SERS data for effectively distinguishing between healthy individuals, SARS-CoV-2, RSV, and influenza A and B, as well as identifying newly emerging pathogens. Our experiments demonstrated that the ensemble model integrated with SERS spectra achieved a remarkable classification accuracy of 100%. Notably, the model exhibited excellent performance in detecting mixed viral infections and simulated pathogen X, with a reliable detection range of viral concentrations from 5 × 102 to 106 PFU/mL under acoustic enrichment. This approach holds significant promise for the early screening and detection of emerging and known respiratory pathogens.
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ANALYTICA CHIMICA ACTA
·
2024
·
IF 5.7
Jianhui Xie,Shuying Mao,Yanglan Zhao,Guimin Zhang,Jingchun Yao,Yongxia Guan,Jizhong Yan,Hui Zhang
Natural products-based screening of active ingredients and their interactions with target proteins is an important ways to discover new drugs. Assessing the binding capacity of target proteins, particularly when multiple components are involved, presents a significant challenge for sensors. As far as we know, there is currently no sensor that can accomplish high-throughput quantitative analysis of natural product-target protein binding capacity based on Raman spectroscopy. In this study, a novel sensor model has been developed for the quantitative analysis of binding capacity based on Surface-Enhanced Raman Spectroscopy (SERS) and Photocrosslinked Molecular Probe (PCMP) technology. This sensor, named SERS-PCMP, leverages the high throughput of molecular probe technology to investigate the active ingredients in natural products, along with the application of SERS labelling technology for target proteins. Thus it significantly improves the efficiency and accuracy of target protein identification. Based on the novel strategy, quantitative analysis of the binding capacity of 20 components from Shenqi Jiangtang Granules (SJG) to α-Glucosidase were completed. Ultimately, the binding capacity of these active ingredients was ranked based on the detected Raman Intensity. The compounds with higher binding capacity were Astragaloside IV (Intensity, 138.17), Ginsenoside Rh2 (Intensity, 87.46), Ginsenoside Rg3 (Intensity, 73.92) and Ginsenoside Rh1 (Intensity, 64.37), which all exceeded the binding capacity of the positive drug Acarbose (Intensity, 28.75). Furthermore, this strategy also performed a high detection sensitivity. The limit of detection for the enzyme using 0.1 mg of molecular probe magnetic nanoparticles (MP MNPs) was determined to be no less than 0.375 μg/mL. SERS-PCMP sensor integrating SERS labeling and photocrosslinked molecular probes which offers a fresh perspective for future drug discovery studies. Such as high-throughput drug screening and the exploration of small molecule-target protein interactions in vitro.
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JOURNAL OF COLLOID AND INTERFACE SCIENCE
·
2025
·
IF 9.7
Jie Zhou,Xiaoyan Ma,Xiaozhe Zhang,Yaxian Chen,Ling Zhang,Yuan Gao,Qian Zhang,Lixin Xia
A reusable and self-calibrating Surface-Enhanced Raman Spectroscopy (SERS) substrate was developed for reliable detection and degradation of organic pollutants in complex environments. The substrate was fabricated by synthesizing Prussian blue (PB)-functionalized cotton (Cotton/PB), followed by Ag + ion exchange with Fe 3+ in the surface-bound PB and in situ reduction to form silver nanoparticles (Ag NPs). PB serves as an internal standard (IS) to correct SERS signal fluctuations and enables self-cleaning via photo-Fenton catalysis. The substrate exhibited high sensitivity, with detection limits for crystal violet (CV), rhodamine 6G (R6G), and malachite green (MG) of 4.6 × 10 −11 M, 9.2 × 10 −12 M, and 4.7 × 10 −11 M, respectively. IS calibration significantly improved quantitative precision, reducing the substrate uniformity relative standard deviation (RSD) from 13.59 % to 4.15 % and reproducibility RSD from 15.17 % to 3.33 %. Additionally, the substrate exhibited outstanding photo-Fenton degradation performance for R6G, achieving a 99 % removal rate within 120 min. The in situ growth of Ag NPs on the PB surface enhanced the photo-Fenton activity, increasing the rate constant of the Cotton/PB-Ag substrate by 2.1 times compared to Cotton/PB. Importantly, the platform maintained remarkable performance with a low RSD of 2.45 % after seven reuse cycles. This work offers a promising strategy for the consistent and precise detection of organic contaminants in environmental monitoring applications.
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ANALYTICAL CHEMISTRY
·
2026
·
IF 7.3
Jingwen Xu,Xu Hu,Zongyan Li,Junhan Li,Zhida Gao,Zhi-Yong Wu,Yan-Yan Song
Accurate identification of mercury species in aqueous environments is essential for assessing ecological and human health risks, given the distinct toxicity and bioaccumulation potential of different mercury forms. Herein, we present a paper-based analytical device that uses electrophoresis and surface-enhanced Raman scattering (SERS) for rapid and in situ detection of inorganic mercury (Hg2+) and methylmercury (CH3Hg+) in aqueous samples. Using a dumbbell-shaped paper microchannel and applying voltage to both ends of the channel, quickly separate Hg2+ and CH3Hg+ due to their differential migration behaviors. The two mercury species were subsequently identified using AuNPs@β-cyclodextrin@4-mercaptophenylboronic acid (AuNPs@β-CD@4-MPBA) SERS tags, which enable distinct chemical recognition: electrophilic substitution by Hg2+ and Au–Hg amalgam formation with CH3Hg+. The platform achieves sub μg L–1 detection limits, completes the full workflow─from sample loading, mercury species separation, to spectra readout─in 5 min, and shows high specificity against common metal-ion interferents. Validation of mercury species in the seawater sample confirmed the robustness of the platform in complex matrices. This electrophoresis-assisted SERS platform provides a new strategy for online separation and identification of multiform toxic species.
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ANALYTICAL CHEMISTRY
·
2026
·
IF 7.3
Yunshan Wang,Nan Lu,Peiyao Wu,Yue Chu,Yonghao Xing,Jing Wang,Xinfeng Zhao
The development of conventional orthosteric drugs targeting G protein-coupled receptors (GPCRs) is often hindered by off-target effects and low subtype selectivity. Allosteric ligands enable precise control of receptor signaling through selective conformational changes, highlighting their critical importance as a promising therapeutic strategy and as a key frontier in modern drug discovery. To enhance GPCR ligand screening efficacy, surface-enhanced Raman spectroscopy (SERS), with sensitivity and narrow spectral peaks, was employed to outline a methodology based on allosteric aptamer binding and stabilizing conformations of the β2 adrenergic receptor (β2AR) for identifying GPCR ligands by fabricating a sandwich-type SERS sensor. The method involved immobilization of β2AR on magnetic plasmonic nanoparticles by label-free click chemistry, probing and stabilization of the allosteric conformational changes by RNA aptamer, and amplification and detection of the signal by SERS-active nanoparticles. The success of the allosteric β2AR assay was confirmed through multiple analytical techniques, including SERS, SEM, UV–vis spectroscopy, and particle size analysis. This methodology demonstrates broad applicability, characterized by rapid response, high sensitivity, and excellent selectivity. BI167107 could be detected within a range of 10–9–10–6 M, with a detection limit of 49 pM. Such a sandwich biosensor successfully identified the agonist, antagonist, and allosteric inhibitor of β2AR from the ligand complex in both aqueous solution and serum. This method is expected to become an alternative for high-throughput and multiplexed drug screening when it comes to a compound library.
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MICROCHIMICA ACTA
·
2026
·Vol. 193
·期 4
·223
·
IF 5.4
Wang Tingyu,Xu Zefan,Wu Lei,Zhang Yu,Liu Hang,Wang Zuyao,Zong Shenfei,Yang Kuo,Wang Hong,Wang Zhuyuan
Exosomes hold considerable promise for early cancer diagnosis. However, their low abundance during early tumor progression and inefficient receptor binding remain obstacles to their broad application. Here, we present the surface acoustic wave (SAW)-SERS Exosome Capture Analysis Chip (SEC-chip), which enriches exosomes within 5 min and quantifies HER2 using only 5 µL of serum. The device features a reusable acoustic transducer coupled with a disposable, CD63 aptamer functionalized capture base. Acoustic microstreaming concentrates vesicles into the detection zone, enabling a detection limit of 5 particles/5 µL, representing a 100-fold improvement over static assays. This hybrid design eliminates cross-contamination and reduces costs. Validated on 12 clinical samples, the SEC-chip accurately stratified HER2-positive breast cancer patients. Integrating rapid processing with ultrasensitivity, the platform offers a robust liquid biopsy tool for tumor diagnosis and future point-of-care screening.
Section
Graphical
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MICROCHEMICAL JOURNAL
·
2026
·
IF 5.2
Bence Gao,Dongxu Zhang,Wenjun Jiang,Anxin Jiao,Teng Li,Xiaoning Wang,Chuanzhao Li,Yong Liu,Ming Chen,Xiaoguang Ma
A recyclable Au/Cu 2 O SERS platform with lattice oxygen stabilization was prepared. • Au/Cu 2 O achieves ultra-low LODs (10 −12 –10 −13 M) for CV, MB and R6G in lake water. • The heterostructures enable the simultaneous detection of mixed organic pollutants in lake water. • Cyclic reuse enabled by photocatalytic degradation, retaining ∼89% SERS activity over four cycles. The increasing presence of organic pollutants in aquatic environments poses significant risks, and their detection and removal at trace levels in complex water systems remain challenging due to matrix interference. Herein, Au nanoparticle-decorated octahedral Cu 2 O heterostructures were fabricated via an in-situ reduction strategy as a recyclable SERS platform. The heterostructures enable ultrasensitive detection of crystal violet (CV), methylene blue (MB), and rhodamine 6G (R6G) in lake water, with detection limits of 10 −12 –10 −13 M and a maximum enhancement factor of 3.82 × 10 11 . The SERS platform exhibits good reproducibility, stability, and anti-interference capability, and allows simultaneous detection of mixed pollutants. In addition, the Cu 2 O component provides photocatalytic activity for pollutant degradation, enabling partial recovery of SERS performance over multiple cycles, with ∼89% activity retained after four cycles. Therefore, it is believed that the developed recyclable Au/Cu 2 O SERS platform holds great potential for ultrasensitive and reusable monitoring of organic pollutants in complex aqueous environments. Download: Download high-res image (193KB) Download: Download full-size image
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2026
·
IF 4.8
Dechan Lu,Rubing Bai,Jingwen Lin,Tao Wang,Chaofan Lv,Rongmao Qiu
Lung cancer mortality remains high due to the difficulty in accurately distinguishing early-stage lung cancer (LC) from benign lung disease (BLD) via conventional diagnostic approaches, and DNA methylation serves as an ideal early epigenetic marker for LC diagnosis while lacking efficient detection technologies. Herein, we developed a multi-pH fused surface-enhanced Raman scattering (SERS) strategy for label-free DNA methylation detection, enabling preliminary discrimination potential between early-stage LC and BLD. We first identified pH-dependent methylation-associated spectral markers by investigating SERS characteristics of cytosine/5-methylcytosine and methylated/unmethylated DNA standards under acidic (pH 3), neutral (pH 7) and alkaline (pH 9) conditions, and validated the specificity and universality of these markers at cellular level (A549/BEAS-2B cells). For clinical formalin-fixed paraffin-embedded (FFPE) samples, we quantified the pH-responsive intensity variations of core methylation-associated peaks in LC and BLD DNA, and further constructed a principal component analysis-linear discriminant analysis (PCA-LDA) model to compare the diagnostic efficacy of single-pH and multi-pH fused SERS spectra. Single-pH SERS detection showed limitations with low diagnostic performance, while the multi-pH spectral fusion strategy integrated complementary methylation feature information across different pH conditions, achieving a diagnostic accuracy of 0.93 for LC-BLD discrimination in clinical FFPE samples, with excellent sensitivity and specificity. This study presents a multi-pH fused SERS method for DNA methylation-associated spectral analysis, which improves the capture of complementary spectral information compared with single-pH detection and provides a label-free exploratory approach for differentiating early-stage LC from BLD.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2023
·
IF 8.4
Wei Yue,Bingyong Lin,Yueyue Huang,Yueliang Wang,Yuanyuan Yao,Lifen Chen,Yanbo Zeng,Lei Li,Zhaosheng Qian,Longhua Guo
Microcystin-LR (MC-LR) is a strong liver toxin, which will enter the human body by eating MC-LR-contaminated aquatic products. Therefore, it is urgent to explore whether people are exposed to MC-LR-contaminated aquatic products. Herein, a sensing strategy based on aptamer-recognized SERS tag coupled with magnetic separation was developed for ultrasensitive and specific detection of MC-LR in fish organs. This sensor had a dynamic range of 0.1 ng/L to100 µg/L and a limit of detection down to 0.1 ng/L for MC-LR. This ultrasensitive and rapid separation strategy allow us to explore the bioaccumulated amount of MC-LR in different fish organs. The results show that the order of MC-LR content accumulated in different organs of local crucian carps were heart > liver > kidney > meat > spleen. The MC-LR content in fish meat was 1.1–8.5 times of the WHO proposed tolerable daily intake level (TDI), implying the aquatic products in local aquatic market had potential threats to human health.
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Analytical Methods
·
2023
·Vol. 15
·期 8
·1047-1053
·
IF 3.1
Nan Zhang,Haiyang Lv,Jihong Wang,Zhanye Yang,Yanru Ding,Bing Zhao,Yuan Tian
Residues of sulfadimethoxine (SDM) in animal-derived foods have attracted widespread public concern. Herein, we propose an aptamer-based colorimetric/SERS dual-mode sensing strategy for the determination of SDM based on hexadecyl trimethyl ammonium bromide (CTAB) induced aggregation of nanoparticles. In the absence of SDM, the SDM aptamer formed a supramolecular composite with CTAB, and the 4-mercaptopyrimidine functionalized gold nanoparticles (AuNPs@4-MPY) remained dispersed due to the lack of CTAB. Upon the addition of SDM, the SDM aptamer preferentially combined with SDM, resulting in the release of CTAB and subsequent aggregation of AuNPs@4-MPY, and the solution color changed from red to blue and presented a dynamic UV-absorbance curve based on different aggregation states. On the other hand, when, gold–silver core–shell nanoparticles (Au@AgNPs) were added additionally, the released CTAB narrowed the nanogap between AuNPs@4-MPY and Au@AgNPs, thus exhibiting enhanced SERS intensity of 4-MPY. This strategy achieved colorimetric detection of SDM with a linear range of 4.00–200.00 ng mL−1 and a detection limit of 2.41 ng mL−1, while SERS had a detection range of 1.20–120.00 ng mL−1 with a detection limit of 0.89 ng mL−1. This strategy is simple and cost-effective for the rapid detection of SDM within 20 minutes. It was further applied for the detection of SDM in spiked milk and honey samples with satisfactory recoveries. Therefore, it exhibits great potential for fast and on-site SDM detection.
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Journal of Materials Chemistry B
·
2022
·Vol. 11
·期 2
·441-451
·
IF 7.571
Imran Mahmood Khan,Sobia Niazi,Imran Pasha,Muhammad Kashif Iqbal Khan,Lin Yue,Hua Ye,Ali Mohsin,Muhammad Shoaib,Yin Zhang,Zhouping Wang
Fluorescent gold (Au) nanostructures have emerged as burgeoning materials to fabricate nanomaterial assemblies which play a vital role in improving the detection sensitivity and specificity for various biomolecules. In this work, a fluorescence labelled (Rhodamine-B-Isothiocyanate) silica shell with Au metal core (AuNPs@PVP@RITC@SiO2) and a graphene–Au nanostar nanocomposite (rGO–AuNS) are presented as a metal enhanced fluorescence (MEF) material and Raman signal enhancer, respectively. Their composite (AuNPs@PVP@RITC@SiO2NPs/rGO–AuNS) was employed as a dual-mode fluorescence (FL) and surface-enhanced Raman scattering (SERS) nanoprobe for selective and sensitive detection of T-2 toxin. To comprehend the dual-modality, a core–shell nanostructure, AuNPs@PVP@RITC@SiO2, was functionalized with an aptamer (donor) and adsorbed on the surface of rGO–AuNS through electrostatic forces and π–π stacking which act as a FL quencher and SERS signal enhancer. When exposed to T-2 toxin, the apt-AuNPs@PVP@RITC@SiO2NPs move away from the surface of rGO–AuNS, resulting in the restoration of FL and reduction of the SERS signal. There was distinct linearity between the T-2 toxin concentration and the dual FL and SERS signals with lower limits of detection (LOD) of 85 pM and 12 pM, as compared to the previous methods, respectively. The developed FL and SERS aptasensor presented excellent recovery ratio and RSD in wheat and maize, respectively, as compared with the standard ELISA method. The complementary performances of the developed stratagem revealed a high correlation between the FL and SERS sensing modes with exquisite detection properties.
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ACS Applied Nano Materials
·
2022
·
IF 6.14
Ya Lu,Zhuanfang Bi,Guangyi Shang
Detection of trace carbendazim in agricultural products or environment is challenging but important for human health and environmental protection. Developing a sensitive and recyclable surface-enhanced Raman scattering (SERS) substrate is one of the effective methods to detect such pesticide residues. In this work, we developed a facile method to fabricate a three-dimensional cactus-like Ag nanoparticles/CuO/Cu2O nanocomposite (CACN) based on a galvanic replacement reaction between Tollens’ reagent and Cu foam. This design combined the Raman enhancement effect and photocatalytic activity, providing a multifunctional and reusable substrate for highly sensitive SERS detection. It was found that the enhancement and photocatalysis of the CACN substrate were closely related to the concentration of Tollens’ reagent, and the 10-CACN substrate (prepared at 10 mM) demonstrated excellent sensitivity, reproducibility, and recyclability. The substrate was successfully applied for the detection of carbendazim solution with a detection limit of 1.5 × 10–10 M and could be reused up to 7 times. More importantly, the substrate can be employed for the detection of trace carbendazim in real apple peels with a detection limit of ∼8.5 × 10–4 ppm, which is far below that of 2.0 × 10–1 ppm suggested by China, United Kingdom, and European Union. These results suggest that the facile fabrication method and the excellent substrate would facilitate the SERS technology closer to practical application in the detection of pesticide residues.
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