MICROCHEMICAL JOURNAL
·
2025
·
IF 5.1
Guangzhi Nie,Jing Xue,Yuyu Gao,Zhaoqing Wang,Hang Wang,Jiangbin Wu,Yunze Long,Wenpeng Han
The detection of gaseous molecules using surface-enhanced Raman spectroscopy (SERS) remains challenging due to the rapid diffusion and low intensity of gas molecules. In this study, we developed a flexible and breathable SERS substrate by in-situ growth of Ag@ZIF-8 nanoparticles on electrospun nylon 6/6 fibers. The microchannels in the fiber membrane, combined with the high porosity of ZIF-8, enable effective capture and enrichment of volatile organic compounds (VOCs) in SERS hot spots. The optimized substrate demonstrated a detection limit of 6.64 × 10 −8 M for dithiohydroquinone (DP) gas, along with excellent reproducibility, linear correlation (R 2 = 0.99), and stability over 30 days. Furthermore, using a residual neural network (RNN) model for deep learning analysis, the substrate achieved 100 % accuracy in detecting gaseous glutaraldehyde (GA), a typical VOC found in disinfectants. This study showcases the potential of nylon/Ag@ZIF-8 substrates, enhanced by artificial intelligence, for practical and precise detection of gaseous molecules in various environments.
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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
·
2024
·Vol. 31
·期 32
·44759-44769
·
IF 0
Wu Rui,Song Xi,Tian Guanghui
Highly active Fe 3 O 4 /GO/Au composite nanomaterial was fabricated as a substrate of surface-enhanced Raman spectroscopy (SERS) and applied for pesticide residue detection. The three-layer multifunctional Fe 3 O 4 /GO/Au nanoparticles (NPs) were designed by facile method, with high hotspots, and were characterized by various techniques, including ultraviolet spectrophotometry (UV), X-ray diffraction (XRD), infrared absorption spectrometer (IR), and transmission electron microscopy (TEM). The performance of Fe 3 O 4 /GO/Au was evaluated by Raman spectroscopy with R6G as a probe molecule to verify its enhancement effect. It exhibited a strong Raman signal with 10 −6 M of R6G. Furthermore, the presence of Fe 3 O 4 /GO/Au nanohybrid enabled the SERS-based method to detect mancozeb and showed an excellent linear relationship in the range of 0.25–25 ppm, with a low limit of detection (0.077 ppm), satisfactory EF, stability, and repeatability. In addition, the mechanism of SERS enhancement with electromagnetic mechanism (EM) and chemical mechanism (CM) was discussed in detail. Therefore, the proposed SERS approach holds promise as an auxiliary technique for screening contaminated agricultural products, environmental sample, and food in the future.
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ANALYTICA CHIMICA ACTA
·
2026
·
IF 6.1
Kangzhe Cao,Fan Zhang,Jiakun Zhang,Jinjin Fu,Ping Lu,Jun-Tao Cao,Huiqiao Liu
Background MicroRNA-21 (miRNA-21) has emerged as a promising biomarker for early cancer diagnosis, yet its accurate quantification in complex biological matrices remains a significant challenge. Conventional SERS-based biosensors are inherently susceptible to non-specific adsorption of biomolecules and probe tags, which generates substantial background interference and severely compromises the signal-to-noise ratio (SNR) and detection fidelity. While various signal amplification strategies have been extensively explored, the critical issue of actively suppressing non-specific noise at the sensing interface has been largely overlooked, necessitating innovative approaches that can simultaneously enhance specific signals and minimize background interference. Results We develop an electrokinetic SERS biosensor that actively modulates the SNR through two sequential voltage-gated steps in a sandwich-structured detection format. A positive potential preconcentrates the negatively charged miRNA-21 targets and SERS probes at the electrode interface, significantly increasing their local concentration and accelerating specific hybridization kinetics, while a subsequent reverse potential acts as an electrostatic filter to selectively desorb non-specifically adsorbed probes, effectively purifying the sensing interface. This synergistic combination of preconcentration and separation efficiently decouples specific signals from non-specific interference, achieving a wide linear detection range from 1.0 × 10 −15 to 1.0 × 10 −10 M with an ultralow detection limit of 0.48 fM. The biosensor exhibits excellent selectivity in discriminating single-base mismatches and demonstrates robust analytical performance in human serum samples, with recoveries ranging from 95.4% to 104%. Significance This work introduces a novel paradigm for high-fidelity SERS biosensing by actively tuning the SNR through precise dual-action electrokinetic control. The strategy offers a generalizable, enzyme-free solution to the challenge of non-specific adsorption, critically enhancing both detection accuracy and practical applicability in complex biological matrices. The electrokinetic approach provides a versatile platform for reliable biomolecular analysis.
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JOURNAL OF ALLOYS AND COMPOUNDS
·
2026
·
IF 6.7
Yandong Che,Qianpeng He,Aoyun Yuan,Jie Zhou,Jiacheng Ding,Tõnu Pullerits,Qian Zhang,Yanqiu Yang,Wenjie Li,Peng Song
Integrating pollutant detection and degradation into a single material platform is highly desirable for the efficient treatment of dye-contaminated wastewater. However, simultaneously achieving sensitive detection and efficient photocatalytic activity remains challenging because these functions involve distinct interfacial processes. In this work, an Ag NPs@Cu-V 2 O 5 hybrid was prepared through wet-chemical synthesis and calcination of Cu-V 2 O 5 , followed by ultrasonic coupling with preformed Ag nanoparticles. Cu incorporation modulated the local electronic environment of V 2 O 5 , while the supported Ag nanoparticles provided plasmonic SERS-active sites. XPS binding-energy shifts were consistent with interfacial electronic redistribution, FDTD simulations revealed pronounced local-field amplification around the Ag nanoparticles, and energy-level analysis indicated accessible interfacial charge-transfer pathways under 532 nm excitation. Using colorless, non-resonant 4-MBA as a control probe, the hybrid produced a higher Raman response than the Ag NP reference under equivalent Ag loading, indicating that the enhancement was not solely dependent on the molecular pre-resonance behavior of MB. The hybrid enabled MB detection down to 1 × 10⁻⁹ mol L⁻¹ , with good spatial uniformity and approximately 80% signal retention after 28 days. After correction for dark adsorption, it achieved an MB degradation efficiency of 82.3% after 60 min of visible-light irradiation and exhibited higher photocatalytic activity than pristine V 2 O 5 and Cu-V 2 O 5 . These results demonstrate a plasmonic–semiconductor platform that integrates SERS sensing and photocatalytic remediation through Ag-induced local-field amplification, Cu-related electronic modulation, and Ag/Cu-V 2 O 5 interfacial interactions.
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Analytical Methods
·
2026
·
IF 3
Huaqing Ling,zhixi Zhao,Ziqi Zhang,Shan Chen,Zulihaya Maimaiti
Accurate detection of organic selenium speciation in soil and water was essential for preserving ecological safety and protecting human health. The performance of a surface-enhanced Raman scattering (SERS) sensor was critically dependent on the structural characteristics of the substrate material. In this work, a simple, low-cost and recyclable 3D porous polyvinyl alcohol/silver nanoparticles (PVA/AgNPs) hydrogel SERS substrate was prepared by the cyclic freeze-thaw method.This substrate exhibited exceptional SERS performance for both L-selenomethionine (SeMet) and Se-(methyl) seleno-L-cysteine (SeMCys). The enhancement factor (EF) reached values as high as 5.91×10 8 , and the limit of detection (LOD) was as low as 3.16 μg/L. Density functional theory (DFT) calculations indicated that charge transfer from the organic selenium molecules to the substrate was the primary mechanism for signal enhancement. Machine learning assisted analysis of SERS spectra effectively mitigated interferences from complex sample matrices. The support vector machine (SVM) model achieved a classification accuracy of 93% on the test set. The support vector regression (SVR) model achieved a coefficient of determination (R 2 ) greater than 0.991 on the prediction set, with root mean square error (RMSE) and mean absolute error (MAE) values of 35.884 μg/L and 8.663 μg/L, respectively. The proposed method enabled accurate identification and precise quantification of organic selenium species in authentic water and soil samples, demonstrated potential for practical application.
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ANALYTICA CHIMICA ACTA
·
2026
·
IF 6.1
Yazhou Qin,Xuqing Wang,Mengze Fu,Jikai Mao,Yingsheng He,Jiye Wang
The incorporation of illegal drugs into e-cigarettes poses significant threats to both human health and societal safety. Therefore, the development of accurate and rapid detection methods for illicit drug additives in e-cigarettes is of significant importance. This study integrates deep learning with surface-enhanced Raman spectroscopy (SERS) to develop a highly sensitive detection method for nicotine and four etomidate isomers. First, Raman and SERS detection were performed on five drug standards. Furthermore, density functional theory calculations were employed to analyze the characteristic peak vibration modes of the various substances. Additionally, a liquid-liquid extraction pretreatment method for commercially available e-cigarettes was developed, facilitating the simultaneous detection of nicotine and etomidate isomers. Trace detection was successfully achieved for all five substances. Subsequently, an interpretable deep network model was constructed for the classification and identification of these substances, attaining an accuracy of 97.8%. To further enhance the model's transparency and interpretability, gradient-weighted class activation mapping (Grad-CAM) was utilized to reveal the critical SERS peaks necessary for molecular discrimination. This research provides robust technical support for the rapid on-site screening of illicit drugs in e-cigarettes.
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高影响因子
TALANTA
·
2026
·
IF 6.7
Yuanyuan Ou,Yuxuan Yuan,Ping Shu,Wenjing Chen,Jiaqi Li,Yuzhen Zhao,Yonghao Xing,Ning Peng,Qian Li,Jing Wang
Rapid, sensitive, and anti-interference detection of functional proteins, such as G protein-coupled receptors, transporters, and nuclear receptors, holds significant scientific and clinical importance. However, their detection in complex matrices remains challenging for conventional methods like immunoassays, fluorescence, and mass spectrometry, which suffer from limitations in sensitivity, photobleaching, or operational complexity. Surface-enhanced Raman spectroscopy (SERS) has gained popularity as a highly sensitive and versatile platform for such detection. Its performance fundamentally relies on the specificity of molecular recognition and the enhancement efficiency of plasmonic hot spots. Herein, we report a versatile antibody-mediated sandwich immuno-SERS biosensor featuring dual signal enhancement. The antibody-functionalized Fe 3 O 4 @SiO 2 @Ag flower-like hybrid nanostructures and Au@Ag core-shell nanoparticles conjugated with 4-mercaptobenzoic acid as a SERS reporter. Upon target binding, a sandwich immuno-complex is formed, inducing strong plasmonic coupling and resulting in a concentration-dependent SERS signal amplification. The biosensor was thoroughly characterized by scanning electron microscope, transmission electron microscope, dynamic light scattering, ultraviolet-visible, and Raman spectroscopy. Three types of functional proteins, including angiotensin II type 1 receptor (AT 1 R), serotonin transporter (5-HTT), and peroxisome proliferator-activated receptor gamma (PPARγ), in diverse cell lysates and mouse tissues were detected by applying the SERS sensor, with detection limits of 0.26 pg/mL for AT 1 R, 0.31 pg/mL for 5-HTT, and 0.31 pg/mL for PPARγ. The results showed excellent agreement with Western blot analysis, confirming reliability. This work presents a versatile and robust sensing platform for the quantification of low-abundance functional proteins and provides a foundation for future development of point-of-care diagnostics and fundamental biological studies.
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Journal of Physical Chemistry C
·
2026
·
IF 3.4
Wen-Xiang Jiang,Jing-Wen Zhou,Hao Jiang,Yu-Qing Wang,Xian-Ming Guo,Yu-Jia Chen,Bao-Ying Wen,Yue-Jiao Zhang,Jian-Feng Li
Abstract Ethylparaben (EP), a widely used preservative, is ubiquitous in aquatic environments and poses potential ecological risks. To address this issue, there is an urgent need to develop portable, rapid, and sensitive detection technologies. Hence, this study constructed a surface-enhanced Raman spectroscopy (SERS) method using silver nanocubes (AgNCs) as the active substrate for rapid on-site detection of EP in aquatic environments. By optimizing the particle size of the AgNCs, the localized surface plasmon resonance (LSPR) effect was maximized, generating high-density electromagnetic “hotspots” at the nanocube vertices and interstitial gaps to achieve exceptional SERS signal enhancement. Integrated with a portable Raman spectrometer, this substrate-based method enables a rapid on-site detection within 2 min. It should be noted that the predried SERS substrates are prepared in advance, and the 2 min analytical time solely accounts for sample loading, rapid interaction, and spectral acquisition (with actual Raman exposure taking only 0.5 s). Compared with conventional techniques, this approach demonstrates practical potential for rapid on-site screening. Crucially, this remarkable speed is attained without compromising analytical sensitivity, delivering a reliable lowest experimentally tested concentration of 1.0 mg/L for rapid screening. Meanwhile, this SERS platform exhibits excellent anti-interference capability, reproducibility, and has been successfully applied to the analysis of actual wastewater samples. This study provides an effective and practical technical approach for rapid on-site screening of organic pollutants in wastewater.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2026
·
IF 8.3
Rongpei He,Zhongxu Li,Ran You,Yujie Xiao,Xiaoyuan Xu,Bing Yan,Juan Du,Baozhan Zheng
Surface-enhanced Raman scattering (SERS) has widespread applications for sensitive detection due to its non-destructive nature, but is still limited by the lower signal sensitivity and reproducibility caused by uncontrolled hotspot distribution on substrates. To address this challenge, a reliable and highly sensitive SERS substrate was developed by in-situ fabrication of well-defined Au-core Ag-shell nanocubes (Au@Ag NCs) on eggshell membrane (ESM-Au@Ag). Notably, the precisely controlled size and morphology of Au@Ag NCs by tuning the synthesis conditions led to significantly enhanced SERS performance. The obtained ESM-Au@Ag exhibited remarkable SERS activity, excellent signal reproducibility, and good stability for crystal violet (CV) detection, achieving an ultralow limit of detection of 1.0 × 10⁻ 10 mol·L −1 and a high analytical enhancement factor of 1.6 × 10 8 . Finite-difference time-domain (FDTD) simulations revealed that this superior performance originates from the significantly localized electromagnetic field enhancement at the sharp edges/corners of the nanocubes, along with their uniform distribution on ESM substrate. Furthermore, the ESM-Au@Ag also showed high sensitivity toward multiple analytes, including Rhodamine 6 G, trinitrophenols, and adenine, indicating its potential for practical applications in environmental monitoring, food safety, clinical diagnosis, and public security. This work opens up a new avenue for designing high-performance SERS substrates with exceptional sensitivity, reproducibility, and stability.
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Journal of Environmental Chemical Engineering
·
2026
·Vol. 14
·期 3
·122819
·
IF 7.5
Xinruo Wang,Zhonghua Shen,Zhonghua Yang,Jishi Wang,Jingjing Du,Wenjing Liu,Zeying He
Pesticide contamination in real agricultural environments often involves mixed residues, generating complex spectral interference that challenges conventional Raman-based detection. Rapid, accurate, and field-deployable analytical tools capable of identifying multi-component pesticide mixtures across diverse fruit matrices are therefore urgently required. Here, we present an integrated surface-enhanced Raman scattering–Transformer platform for on-site multi-pesticide screening. Reproducible gold nanoparticles provide a highly sensitive and stable surface-enhanced Raman scattering substrate, and a comprehensive dataset of 5979 spectra—covering single, binary, ternary, and quaternary mixtures in apple, peach, pear, and grape extracts—captures realistic variability. The Transformer achieves superior performance, with an accuracy of 98.56% on the standard test set and 97.16% on real fruit extracts, including matrix-specific accuracies of 98.18% for apple, 97.89% for pear, 96.59% for peach, and 96.57% for grape; notably, the precision, recall, and F1-score on the standard test set all exceeded 0.985, five-fold cross-validation yielded 97.74% ± 1.02%, confirming the robustness and reproducibility of the method. Attention-weight visualization offers qualitative interpretability by highlighting relevant spectral regions. On-site orchard trials in Tianjin, China, further validate the robustness and practical applicability of the workflow. Overall, this study advances surface-enhanced Raman scattering-based pesticide detection by establishing one of the largest multi-pesticide spectral datasets to date, demonstrating strong cross-matrix generalization, and delivering an integrated portable Raman–Transformer pipeline suitable for rapid field screening and routine regulatory surveillance.
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RSC Advances
·
2026
·Vol. 16
·期 23
·21266-21276
·
IF 6.1
Yaosen Wang,Yanlong Cai,Huaizhou Jin,Shangzhong Jin
Surface-Enhanced Raman Spectroscopy (SERS) is a powerful vibrational spectroscopy technique capable of single-molecule sensitivity, yet its performance is critically dependent on the precise engineering of plasmonic hotspots. Conventional dimer-based substrates offer limited enhancement due to their restricted hotspot volume and intensity. Here, we overcome this limitation by leveraging the programmable addressability of DNA origami to construct a plasmonic nanofork antenna (DONA) that directs the assembly of 80 nm gold nanoparticles into well-defined multimers (trimers, tetramers, and pentamers). By systematically increasing the number of thiolated staple strands and refining the post-assembly conjugation workflow, we achieve reproducible sub-2 nm interparticle gaps, enabling dense and intense electromagnetic hotspots. This multimeric platform enables label-free SERS detection of Rhodamine 6G (R6G) down to an ultralow concentration of 10−14 M, with characteristic Raman peaks at 613 cm−1 and 1512 cm−1 clearly resolved. Furthermore, we demonstrate the versatility of this platform by detecting proteins (streptavidin, thioredoxin) at sub-picomolar levels. Our work establishes DNA-origami-engineered multimers as a robust and generalizable strategy for ultrasensitive, label-free biochemical sensing.
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TALANTA
·
2026
·
IF 6.7
Wei Wang,Cheng-Ye Xi,Jun-Jie Yu,Da-Wei Li,Hua-Ying Chen
Nanoplastics (< 1 μm), as pervasive environmental contaminants, have raised significant concern owing to their high ecosystem mobility and potential biological toxicity. However, current analytical methods confront substantial limitations in detecting nanoplastics at environmentally relevant concentrations. Herein, we introduce an innovative approach by utilizing three-dimensional silver aerogel as a dual-functional platform for the evaporative enrichment and highly sensitive surface-enhanced Raman spectroscopy (SERS) detection of nanoplastics. Due to the interconnected fibrous voids of silver aerogel and its abundant plasmonic hot spots, the established SERS method can detect polystyrene (PS) nanoplastics across the size range of 50-400 nm and achieved limit of detection (LOD) values ranging from 2.47×10 -5 to 6.62 ×10 -4 mg·mL -1 across various particle sizes. Moreover, the silver aerogel substrate exhibited excellent signal reproducibility with intra-substrate, inter-substrate, and inter-batch relative standard deviations (RSDs) of 2.29%, 2.56%, and 2.34%, respectively. Practical performance was assessed using river water, retaining 79.8% to 99.9% of the signal intensity obtained in pure water. These results indicate that this dual-functional silver aerogel-SERS platform serves as a powerful analytical tool for the rapid identification and quantification of nanoplastics.
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