FOOD CHEMISTRY
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2026
·
IF 10.4
Jiechen Xu,Lei Ding,Jie Ao,Zilun Qiao,Qingchun Yin,Gaohao Tan,Long Wu,Shouxiang Jiang,Sihang Zhang
Rapid, ultrasensitive, and nondestructive detection of pesticide residues on fruit surfaces remains a significant challenge. Herein, we developed a series of flexible silver nanoparticles@chitosan hydrogel (AgNPs@CSHG) SERS substrates by a controllable in-situ growth strategy, creating uniformly distributed SERS hot spots through electrostatic interactions between silver ions and the hydroxyl/amino groups in chitosan molecules. Hydrophilic CSHG exhibits excellent adsorption and permeability properties, enabling effective enrichment of probe molecules within hotspot regions to further improve detection sensitivity. The optimal AgNPs-45@CSHG SERS substrate achieves a remarkable detection sensitivity of 10 −8 M and exceptional reproducibility (RSD = 8.14%) for 4-mercaptobenzoic acid (4-MBA). Importantly, the flexible and robust AgNPs@CSHG SERS substrates realize rapid, simple and nondestructive thiram detection at a concentration as low as 10 −7 M on fruit peel by a simple stick-and-read method. The flexible, ultrasensitive and nondestructive AgNPs@CSHG SERS substrate presents significant potential for applications in food safety monitoring.
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FOOD CHEMISTRY
·
2026
·
IF 10.4
Rui Wang,Ziqian Meng,Han Yan,Meiqi Yin,Jinfeng Huang,Hao Zheng,Jingtao Sun,Jiyun Nie,Wei Wu,Qinzhi Wang
Flexible CP-MXene@Au chip fabricated via layer assembly and electrodeposition. • MXene prevented Au NPs aggregation while preconcentrating analytes. • Electrodeposition enabled facile optimization of uniformity and reproducibility. • Thiophanate-methyl in fruits detected with good recovery and practical applicability. For the common fruit contaminant thiophanate-methyl (TPM) residue monitoring, a portable ultra-sensitive flexible surface-enhanced Raman scattering (SERS) chip was developed using carbon paper and electrochemical deposition technology for the rapid and efficient trace detection of TPM in fruits. The flexible chip was constructed using MXene (CP-MXene) through layer-by-layer assembly and plasmonic metal (CP-MXene@Au) by the chronopotentiometry method, which dramatically improved the intrinsic electrical conductivity contributing to forming SERS-active “hot spot” with superior stability and reproducibility. Based on prepared SERS chip, the TPM was rapidly detected as the lowest detection limit as 0.00923 μM and a wide detection linear range of 0.1–100 μM. Furthermore, TPM in fruits can be collected and recognized with excellent reusability and satisfactory recovery of 90.5–109.5%, demonstrating its good practical applicability. This flexible SERS chip is also highly sensitive and low-cost, providing a new idea for efficient food safety monitoring.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2026
·
IF 8.3
Yuan Gan,Fanlin Yang,Ning Wang,Yong Zhu,Jie Zhang,Jianjun Chen
Magnetic enrichment and oscillation were integrated into a microfluidic SERS chip. • Magnetic regulation enhanced SERS sensitivity and spectral reproducibility. • Chemical washing coupled with magnetic oscillation facilitated rapid substrate regeneration. • Deep learning-assisted spectral analysis achieved accurate recognition of single and mixed antibiotics. To improve the sensitivity, signal uniformity, and recognition capability of conventional microfluidic SERS (MF-SERS) systems, a magnetic-assisted MF-SERS platform integrating magnetic enrichment, magnetic oscillation, and deep learning-based recognition was developed. Highly sensitive Ag@Fe 3 O 4 @SiO 2 core-shell magnetic substrates were prepared and characterized. COMSOL simulations revealed that magnetic aggregation shortened the inter-microsphere spacing and enhanced plasmonic coupling between Ag nanoparticles on adjacent microspheres, resulting in a maximum local electric field intensity of 138.55 V/m and a maximum local theoretical electromagnetic enhancement of 3.68 × 10 8 . Benefiting from magnetic enrichment, the lowest experimentally detectable concentration of rhodamine 6 G (R6G) was improved from 10 −10 to 10 −11 mol/L. Magnetic oscillation further promoted substrate−analyte contact and improved adsorption uniformity, leading to a continuous decrease in the relative standard deviations (RSDs) of characteristic Raman peaks with increasing oscillation time. In addition, the combination of magnetic oscillation and chemical washing enabled efficient removal of antibiotic residues and rapid substrate regeneration. By integrating a multilayer perceptron model, the platform achieved accurate classification of 11 single-component and multicomponent antibiotic samples with an average test accuracy of approximately 95%. This work provides a promising strategy for constructing MF-SERS platforms with high sensitivity, improved signal uniformity, rapid regeneration, and intelligent analytical capability. Download: Download high-res image (142KB) Download: Download full-size image
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ANALYTICA CHIMICA ACTA
·
2026
·
IF 6.1
Yanling Wang,Chi Zhang,Tong Liu,Qingsong Li,Xue Guan,Yutian Hu,Bo Cao,Xiaohong Wu,Qin Zhou,Feiyun Cui
Label-free surface-enhanced Raman spectroscopy (SERS) offers a promising avenue for rapid metabolic phenotyping in complex biofluids, yet its translational potential is hindered by the challenge of deconvoluting overlapping spectral contributions and identifying specific metabolite signatures. Herein, we report a liquid chromatography-mass spectrometry (LC-MS)–guided AI enabled serum molecule-interpretable SERS Platform, termed AMI-SERS, which integrates SERS, untargeted metabolomics and machine learning (ML) for Alzheimer's disease (AD) patient serum exploratory metabolic profiling. ML has achieved excellent classification performance with an accuracy of 96.67% under leave-one-out cross-validation. A novel multi-source matching algorithm was devised to trace dominant spectral features directly to specific metabolite changes, uncovering hypoxanthine as a key pre-analytical confounder and nominating adenine as a potential AD biomarker. However, due to the limited sample size, these results are only applicable to exploratory analysis. In conclusion, the AMI-SERS platform establishes a molecular-resolvable, LC-MS-interpretable AI methodological framework for exploratory serum metabolomics and its clinical applicability requires large-scale independent validation.
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Food Bioscience
·
2026
·
IF 6.2
Ming Zhou,Jun Cheng,Shunqian Zhuang,Songting Chen,Yingying Sun,Jiang Xu,Yunfei Xie
The residue of acetamiprid (AAP) in agricultural products poses a threat to food safety. Traditional Surface-enhanced Raman scattering (SERS) detection faces issues such as complex and expensive substrate preparation, and the difficulty of effectively utilizing SERS hotspots due to random molecular diffusion at low concentrations, resulting in low detection sensitivity. Here, we introduced the highly adsorptive 2-Methylimidazole zinc salt (ZIF-8) and developed a portable, ultra-sensitive silver nanoparticle filter paper (FP) loaded with 2-Methylimidazole zinc salt (Ag@FP@ZIF-8) substrate. It was found that the enhancement factor (EF) value for Rhodamine 6G (R6G) when measured using a handheld Raman spectrometer was 1.401 × 10 13 . More importantly, after being kept in a sealed and dark environment at room temperature for 45 days, the signal retention rate remained at 92%. Additionally, it exhibits good uniformity, as evidenced by a relative standard deviation of less than 8.5%. Combining a handheld Raman spectrometer with the previously proposed capillary-assisted sampling method has enabled AAP to be extracted from apple, pear and Bok choy leaves in a shoNeed file 22165rt period of time. The detection limit for Bok choy is 0.01 mg/kg, meeting the requirements of the EU Commission's regulation (EU) 2025/158. This method is expected to be developed into a rapid, deployable solution for on-site pesticide screening.
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ANALYTICAL CHEMISTRY
·
2026
·
IF 7.3
Waqas Ahmad,M. S. El-Shahawi,Yuzhen Liang,Tianhui Jiao,Yi Xu,Jingjing Wang,Quansheng Chen
Plasmonic metal–support composites have been explored for heterogeneous catalysis with poor robustness under in situ conditions. The substrate performance index for surface-enhanced Raman scattering (SERS) is also limited by spatial heterogeneity and signal instability. Most reported hybrid devices still face a clear trade-off between catalytic and SERS performance, and durable multifunctionality in one integrated system remains largely unexplored. This study reports an integrated platform that combines photoelectrode, photocatalytic, and SERS functions, delivering stable photocurrent, high catalytic efficiency, and reproducible Raman activity, respectively. Herein, a systematic sputtering/electrodeposition combined with a single-step, temperature-controlled annealing route yields hybrid titanium dioxide (TiO2)/gold (Au) nanodendrites. The interconnected Au–TiO2–H2O interfaces promote efficient separation and interfacial transport of photogenerated charge carriers, while interdendritic junctions and sharp tips localize target molecules with high-|E|4 SERS hot spots. The composite enabled on-site detection of malachite green (MG+) in aquaculture water followed by in situ photoelectrocatalytic degradation, administering complete removal (Ct/C0→0) for feed concentrations up to × 10–4 mol/L in a 60 min interval, with synchronous real-time, online monitoring of MG+ across the entire degradation period. The composite also generated a stable and high photocurrent response at −0.73 V to serve for photoelectrochemical applications as a photoanode. Finally, the storage stability, reproducibility across synthesis batches and uniformity (RSD of 10.998% at n = 100), reusability for at least six cycles, self-cleaning, and repeatable detection performance demonstrate that this integrated sensing-degradation platform offers potential for deployment in operational aquatic matrices.
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SENSORS
·
2026
·Vol. 26
·期 10
·3064
·
IF 4
Kseniya V Serebrennikova,Nadezhda S Komova,Anatoly V Zherdev,Boris B Dzantiev
The fabrication of SERS nanotags with efficient antibody loading and high signal enhancement remains a challenging task for combining surface-enhanced Raman spectroscopy (SERS) and lateral flow immunoassay (LFIA). In this study, bimetallic Au DTNB @PDA DTNB @Ag nanoparticles with a polydopamine (PDA)-based internal nanogap were synthesized and functionalized with anti-prolactin monoclonal antibodies to produce SERS nanotags. Here, polydopamine serves both as a spacer providing a nanogap between the core and the shell, and as a reaction layer to capture Raman reporter 5,5′-dithiobis(2-nitrobenzoic acid) (DTNB) within the nanogap. Regimes (conditions, protocols) for conjugating antibodies to Au DTNB @PDA DTNB @Ag were selected to preserve both the binding affinity for the target analyte and the Raman activity of the SERS nanotag. The SERS nanotag provides plasmonic absorption for visible colorimetric readout, as well as strong SERS signals for highly sensitive quantitative immunoassay. Measuring the Raman intensities of DTNB in the test zone after performing LFIA made it possible to determine prolactin with a detection limit of 0.2 ng/mL in the working range from 1 to 10 ng/mL. The achieved limit of detection was 10-fold lower than the LFIA coupled with colorimetric readout (4.7 ng/mL). The recoveries of prolactin from spiked serum samples were in the range of 70.2–82.6% with relative standard deviations of 2.3–6.8%. Overall, the Au DTNB @PDA DTNB @Ag nanotag demonstrated high stability, Raman activity, and specificity, indicating that the SERS nanotag with PDA-assisted internal nanogap is promising for use in SERS immunoassay of other target analytes.
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ANALYTICAL CHEMISTRY
·
2026
·Vol. 98
·期 33
·24079-24092
·
IF 7.3
Chi Jinxin,Xie Qian,Xie Shulun,Luo Dexin,Lin Xucong,Huang Guihua
The precise quantification of adenosine triphosphate
(ATP) at physiologically
critical femtomolar levels in complex biological fluids remains a
formidable challenge, constrained by irreconcilable demands for extreme
sensitivity, specificity, and operational robustness. Conventional
integrated platforms, such as LC-SERS, often suffer from functional
fragmentation, in which separation and detection operate sequentially
without synergy, thereby limiting overall performance. Stand-alone
amplification strategies, meanwhile, are intrinsically hampered by
matrix interference. Herein, we introduce a versatile biosensing paradigm
that overcomes these limitations through the synergistic integration
of two orthogonal amplification mechanisms within a unified microfluidic
platform. Our dual-signal amplification microfluidic platform (2Amp-MFP)
integrates online micro high-performance liquid chromatography (μHPLC)
for target pre-enrichment and interference removal with a nanozyme-catalyzed
SERS aptasensor (NC-SERS aptasensor) for ATP recognition and catalytic
signal generation. The upstream amino-silica monolith (ASM) provides
phosphate-dependent retention, allowing adenosine diphosphate (ADP),
adenosine monophosphate (AMP), and matrix components to be removed
during loading and washing, while triphosphate species are retained
and subsequently eluted with a Mg 2+ -containing mobile phase.
In the downstream aptasensor, ATP is selectively recognized, triggering
the displacement of a fraction of the aptamer-conjugated Au@Pt nanozymes
from the sensor interface. After washing, the Au@Pt@Aptamer NPs remaining
hybridized on the monolith catalyze the oxidation of 3,3 ′ ,5,5 ′ -tetramethylbenzidine
(TMB) to generate Raman-active reporter oxTMB, yielding a SERS intensity
that decreases with increasing ATP concentration. Under optimized
conditions, the 2Amp-MFP achieved a limit of detection (LOD) of 63
fM for ATP and enabled specific quantification of spiked ATP in human
serum and urine samples. This synergistic dual-signal amplification
strategy provides a promising platform for trace ATP analysis in complex
biological matrices.
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MICROCHIMICA ACTA
·
2026
·Vol. 193
·期 9
·603
·
IF 5.4
Wang Yue,Li Zetong,Wang Jie,Bian Ziyang,Yang Zhenshan,Li Hefu
A practical surface-enhanced Raman scattering (SERS) substrate is reported constructed by depositing Ag nanoparticle dimers (Ag NDs) onto a polydimethylsiloxane (PDMS) film with macroscopic cavity arrays (MCA). This design integrates the synergistic advantages of large-aperture and shallow-depth MCA, as well as Ag NDs with abundant nanogaps, achieving a well-balanced combination of sensitivity, uniformity, and operability for rapid testing. The open MCA structure, fabricated using commercial toothbrush bristles as a template, not only facilitates analyte enrichment through spatial confinement but also serves as a patterned scaffold for depositing densely plasmonic Ag dimer arrays, which generates high-density SERS hotspots. The optimized Ag NDs@MCA substrate exhibits desirable SERS performance, including good sensitivity, satisfactory uniformity, and reliable batch-to-batch reproducibility. Furthermore, the naked-eye-distinguishable cavities allow direct visual positioning of detection sites, significantly simplifying testing operation. Coupled with a portable Raman spectrometer, the as-prepared SERS substrate achieved fast trace determination of malachite green (10⁻ 6 M) in lake water and thiram (10⁻ 7 M) on apple surfaces. This low-cost, practical SERS substrate demonstrates great potential for on-site environmental monitoring and food safety screening. Graphical
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ANALYTICAL CHEMISTRY
·
2025
·
IF 6.7
Tuotuo Zhang,Bin Li,Alain Wuethrich,Huixing Liu,Quan Zhou,Zhuoran Hu,Huiling Wang,Matt Trau,Feng Bao,Jian Li,Yao Sun,Junrong Li
An early and accurate risk assessment of coronary artery disease (CAD) is crucial for implementing effective health management strategies before the disease progresses to severe or life-threatening conditions such as myocardial infarction (MI). To this end, we present a surface-enhanced Raman scattering (SERS) platform designed to simultaneously profile six circulating biomarkers in human serum, establishing a cardiac signature for precise CAD evaluation. This SERS platform integrates a gold microelectrode and a cubic core–satellite nanostructure as key components to achieve highly sensitive target detection with a limit of detection as low as 7.4 fg/mL for LDHB. By using Raman reporters as the natural bridges between the core and satellites, numerous “hot spots” were created within the nanogaps that significantly amplify the SERS signal output. Additionally, this SERS platform utilizes electrohydrodynamics (EHD) to selectively remove nonspecific binding events, further enhancing cardiac biomarker detection specificity. Notably, the acquired cardiac signature effectively distinguishes CAD and MI from other cardiac-related disorders (CRDs) in clinical samples, highlighting its potential for clinical applications.
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Analytical Methods
·
2025
·
IF 2.6
Shaohua He,Shibo Cao,Jiayi Yuan,Zhaoda Yu,Yi Liu,Yangmin Wu,Shuohong Weng,Ming Zong,Duo Lin
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the “gold standard” for virus detection, are not suitable for rapid diagnosis of the virus because of their long reaction time and sample preparation time. Therefore, a new method for influenza virus detection that is rapid, accurate and portable is needed. In this work, a label-free technology based on surface enhanced Raman spectroscopy was developed to directly analysed nasal swab samples in order to explore the different molecular information between Influenza patients and normal people. Following that, the machine learning algorithms based on principal component analysis combined with linear discriminate analysis (PCA-LDA) and support vector machines (SVM) were used to extract and model the molecular features of nasal fluid to differentiate between influenza patients and normal people with the accuracy of 76.5%. With only 10 µl of sample and 5 seconds of testing time per sample, this label-free SERS combined with machine learning would provide a rapid and portable testing platform for influenza virus detection.
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Food Chemistry-X
·
2025
·
IF 8.2
Hui Ma,Anqi Wen,Tianmin Wang,Qianhong Li,Zihan Li,Weijie Lan,Kang Tu,Xiaoman Ji,Leiqing Pan
A highly sensitive and rapid surface-enhanced Raman spectroscopy (SERS) method was developed for glyphosate (GPH) detection in rice by combining carbon disulfide (CS 2 )-mediated derivatization with an optimized silver nanoparticle (AgNP) aggregation strategy. GPH was converted into a SERS-active thiazole derivative through pH-controlled reactions. An adsorption-first strategy (analyte pre-adsorption before aggregation) enhanced signals by 64.78 % at 1 min and maintained 11.83 % higher intensity after 6 min versus conventional aggregation-first methods, due to optimized hotspot positioning. The method achieved a detection limit of 0.13 μmol/L (signal-to-noise ratio = 3), below European Union regulatory limits, with excellent reproducibility (RSD = 8.39 %), high selectivity against amino acid interferents, and high time efficient (22 min total analysis). Moreover, spike-recovery tests in rice yielded 80.82 % − 129.62 % recovery, providing a robust platform for detection of trace GPH in complex food matrices. Consequently, this work establishes a time-efficient and cost-effective alternative to conventional chromatography, which facilitates rapid on-site monitoring.
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