LWT-FOOD SCIENCE AND TECHNOLOGY
·
2025
·
IF 6.6
Lingxiang Bao,Ruizhi Yang,Lu Liu,Bin Zheng,Shan He,Miksusanti Miksusanti,Peiying Shi,Bin Zhang,Soottawat Benjakul,Yadong Zhao
Flavor nucleotides serve as key indicators for assessing the freshness of aquatic products. However, their rapid degradation over time poses a significant challenge for accurate detection, underscoring the need for rapid and highly sensitive analytical methods. In this study, a novel Au-Ag@Si surface-enhanced Raman scattering (SERS) sensor featuring a virus-like spike structure was fabricated by integrating physical vapor deposition and wet-chemical synthesis. Driven by a galvanic replacement reaction, well-ordered Au-Ag nanostructures were formed, which significantly enhanced the localized surface plasmon resonance through abundant contact sites and strong electromagnetic fields. This SERS platform was subsequently employed for the ultrasensitive and rapid detection of inosine monophosphate (IMP) and adenosine monophosphate (AMP), achieving limits of detection (LODs) as low as 1×10 -5 ppm and enhancement factors (EFs) of 2.33×10 4 and 3.22×10 4 , respectively. These results represent nearly an order of magnitude improvement in detection performance over conventional methods. The sensor was further validated in Procambarus clarkii using an internal standard method and simulated transport experiments. This study demonstrated that the virus-like Au-Ag@Si SERS sensor significantly enhances the detection of AMP and IMP, enabling rapid and ultrasensitive assessment of aquatic product freshness.
✓ 已验证
产品关联
DOI
高影响因子
ANALYTICAL CHEMISTRY
·
2025
·
IF 6.7
Xingkang Diao,GuoHua Qi,Yu Tian,Jing Li,Yongdong Jin
Hydrogen peroxide (H2O2) is a key reactive oxygen species (ROS) that regulates redox signals in organisms by reversibly oxidizing target proteins. However, it causes oxidative damage at supraphysiological concentrations, leading to various diseases. Therefore, accurate and sensitive detection of H2O2 in organisms, especially in cells, is essential for reliable pathological diagnosis. Herein, a sensitive and reproducible surface-enhanced Raman spectroscopy (SERS) platform was developed for in situ profiling detection of H2O2 released from cells utilizing a uniform and dense plasmonic Ag@Au core/shell nanoparticle nanomembrane (Ag@AuNPs-NM) as the SERS substrate. In the designed substrate configuration, the Ag@Au core/shell nanostructure combines the strong electromagnetic field enhancement of AgNPs with the stability of AuNPs, which could enhance the sensitivity of SERS detection. Meanwhile, the dense and uniform distribution of “hot spots” in the Ag@AuNPs-NM endows the platform with excellent detection reproducibility. In the presence of H2O2, the ratiometric I1073/I998 SERS signal of the Raman reporter 4-mercaptophenylboronic acid (4-MPBA) is changed due to the oxidation of the boronate group of 4-MPBA to the phenolic hydroxyl group of 4-hydroxythiophenol (4-HTP). The developed SERS sensing platform possesses a good linear relationship between the ratiometric I1073/I998 signal of 4-MPBA and the concentration of H2O2 in the range from 1 to 500 μM, with a limit of detection of 0.26 μM. As a proof of concept, we applied this platform to in situ monitoring of drug-stimulated H2O2 released from cells that were cultured on the SERS chips. This work provides a practical method for the in situ profiling detection of cellular H2O2 with satisfactory results, holding promise for the diagnosis of H2O2-associated diseases.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ANALYTICA CHIMICA ACTA
·
2026
·
IF 6.1
Yanxiao Quan,Guojun Weng,Jian Zhu,Jianjun Li,Junwu Zhao
Background Volatile organic compounds (VOCs) in human exhaled breath serve as molecular fingerprints that reflect metabolic dysregulation and can indicate the onset and progression of diseases such as lung cancer. Surface-enhanced Raman scattering (SERS), characterized by its high sensitivity, molecular specificity, and tolerance to humidity, offers a promising approach for breath analysis. However, the intrinsically weak Raman activity of exhaled biomarkers and poor gas adsorption on solid substrates still hinder its practical implementation. Therefore, it is essential to develop a SERS-based breath sensor that simultaneously enables signal amplification, gas enrichment, rapid operation, and cost-effectiveness. Results This study presents a novel ultrasensitive SERS sensing platform based on a core-shell ZIF-L@Au NTs composite, integrating high sensitivity, selectivity, and rapid detection capabilities. The anisotropic gold nanotriangles (Au NTs), serving as the plasmonic core, exhibit excellent structural stability and strong electromagnetic field enhancement. The outer ZIF-L metal-organic framework (MOF) shell facilitates the selective adsorption and pre-enrichment of target analytes, while its confinement effect synergistically amplifies the SERS signal, markedly improving detection sensitivity. As a result, the system enables reliable quantification of 4-ethylbenzaldehyde in the concentration range of 10 −4 -10 −8 M, achieving a detection limit down to the sub-ppm level with high stability and repeatability. Simulated detection of the potential lung cancer biomarker 4-ethylbenzaldehyde demonstrated the platform's strong enrichment capability and outstanding sensing performance. Significance This work establishes an ascorbic-acid-directed strategy to construct flower-like ZIF-L and, for the first time, integrates gold nanotriangles with a metal-organic framework into a core-shell ZIF-L@Au NTs SERS platform. The synergistic combination of MOF-based gas enrichment, sharp-tip plasmonic hot spots and 4-ATP/aldehyde chemistry enables sub-ppm level detection of exhaled 4-ethylbenzaldehyde, highlighting a promising route for non-invasive breath diagnostics.
✓ 已验证
产品关联
DOI
高影响因子
Advanced Sensor Research
·
2026
·Vol. 5
·期 1
·e00187
·
IF 3.5
Zesen Li,Qiu Yang,Qingyue Ye,Haopeng Wang,Huaisheng Chen,Zhuo Zhang,Yifei Wang,Boping Zhou,Yang Ran,Kaisheng Liu
Endotoxins, predominantly lipopolysaccharides (LPS) derived from the cell walls of Gram-negative bacteria, represent a critical challenge in biopharmaceuticals, medical device manufacturing, and food safety. Current gold-standard endotoxin detection relies on Limulus Amebocyte Lysate (LAL) reagents, yet this approach suffers from two limitations: unsustainable exploitation of Limulus (horseshoe crab) resources and vulnerability to non-specific interference due to its turbidity-based readout. Here, we developed a fiber-optic Surface-enhanced Raman scattering (SERS) probe that enables highly sensitive endotoxin detection with drastically reduced LAL consumption. The probe was fabricated by immobilizing silver-coated gold nanostars onto the surface of a tapered-cylinder optical fiber, which was then integrated into a microfluidic capillary. Its sensing mechanism is based on a competitive assay that captures the characteristic Raman “fingerprint” of LAL-endotoxin interactions: endotoxins competitively inhibit the adsorption of LAL reagents onto the fiber surface, resulting in a quantifiable SERS signal. Experimental results demonstrate that the fiber-optic SERS sensor detects ultra-low endotoxin concentrations (100 µEU mL −1 ) using only 5 µL of LAL reagent, marking a substantial reduction compared to conventional LAL assays. Tests with serum samples demonstrated that the sensor can differentiate between healthy individuals and septic patients, further confirming its translational potential. This technology offers a cost-effective, rapid, and efficient solution for biosafety monitoring, clinical diagnostics, and quality control in food and pharmaceutical industries, advancing sustainable and reliable endotoxin detection beyond the limitations of traditional LAL-based methods.
✓ 已验证
产品关联
DOI
高影响因子
MICROCHEMICAL JOURNAL
·
2026
·
IF 5.1
Yu-Jia Chen,Jing-Wen Zhou,Hongmei Li,Yu-Qing Wang,Xue-Yang Xiong,Jia-Sheng Lin,Cheng Pan,Bao-Ying Wen,Yue-Jiao Zhang,Jian-Feng Li
Background Vanillin (4-hydroxy-3-methoxybenzaldehyde), an aromatic compound derived from vanilla pods. Currently, it is widely used as an additive in the food industry due to its unique aroma and flavor. However, excessive consumption of vanillin can cause nausea, dizziness, allergies and vomiting. Various methods have been established to detect vanillin content, including electrochemistry, gas chromatography (GC), fluorescence analysis. These methods exhibit good sensitivity in vanillin detection but are limited by complex pretreatment steps, time consumption, and expensive equipment. Thus, it is critical to develop a sensitive, rapid, simple, and low-cost method for monitoring vanillin concentration in food. Results In this work, a Schiff base reaction-assisted SERS internal standard detection method is proposed for the highly sensitive detection of vanillin in tea. Ag nanocubes (Ag NCs) are functionalized with 4-aminothiophenol (4-ATP), whose amino group undergoes a Schiff base reaction with the aldehyde group of vanillin to form a stable C N imine group. Highly sensitive detection of vanillin is achieved by identifying the C N stretching vibration peak. Using the C S stretching vibration peak as an internal standard, a linear relationship is established. The results show that this method requires no tedious pretreatment and achieves a detection limit of 10 μg/L for vanillin in real tea samples. Meanwhile, this strategy is applicable to different tea systems and the detection of various aldehyde flavor molecules. Additionally, the internal standard strategy reduces systematic errors and improves the accuracy of quantitative analysis. Significance The universal Schiff base reaction-assisted SERS internal standard strategy proposed in this work can specifically capture aldehyde flavor molecules via Schiff base reaction. The developed strategy exhibits good anti-interference ability and thus expands the great potential of SERS technology in aldehyde flavor additives detection and regulatory management in food safety.
✓ 已验证
产品关联
DOI
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
·
2026
·
IF 7.7
Kena Luo,Beibei Zhang,Yifei Mei,Shanshan Rong,Kaiyue Wang,Puheng Liu,Qi Yao,Bin He,Beibei Hao,Pengfei Cheng,Tao Jiang,Qiaoxia Hu
The early and precise monitoring of Alzheimer’s disease (AD) hinges critically on the ultrasensitive detection of low-abundance biomarkers in complex biological matrices. Herein, we developed an innovative actively-modulated surface-enhanced Raman scattering (SERS) platform by strategically integrating a piezoelectric polyvinylidene fluoride (PVDF) matrix with ZIF-67-supported silver nanoparticles (Ag NPs) for AD assay. This fascinating architecture was meticulously constructed through in-situ grow uniform two-dimensional ZIF-67 membrane onto PVDF, followed by precision sputtering of Ag NPs to improve both target enrichment and signal amplification. Remarkably, the substrate demonstrated a perfect enhancement factor over 1.03 × 10 8 under optimized piezoelectric stimulation, owing to the concerted effects of strain-induced charge polarization and intensified electromagnetic field. In practical assays, the signal of Aβ peptides was successfully triggered in tear fluid, cerebrospinal fluid (CSF), and serum using controlled pressure, effectively overcoming their diverse background interference. A pressure-dependent multiplex detection was further conducted in serum for reliable quantification of Aβ42/Aβ40 ratio. Moreover, the recovery rates of Aβ42/Aβ40 in various biological environment were all significantly improved under progressively increased pressure, demonstrating robust performance across clinically relevant biofluids. This work develops a high-performance piezoelectric-charge-plasmonic hybrid SERS substrate, which demonstrates enormous potential for intelligent detection of AD markers in clinical settings.
✓ 已验证
产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2026
·
IF 4.8
Xin Li,Xinghua Yang,Rui Wang,Pingping Teng,Shuai Gao,Nan Lu,Xiaoyu Li,Adam Jones,Kang Li
Surface-enhanced Raman scattering (SERS) is a promising tool for sweat analysis, but signal noise, nonlinear responses, and spectral overlap limit its quantitative accuracy in complex samples. In this work, an intelligent SERS sensing strategy was developed by combining an Ag NP fractal substrate with a Gradient Kernel Size Convolutional Neural Network (GKS-CNN). The self-assembled Ag NP substrate provided abundant electromagnetic hotspots, enabling sensitive detection of lactate (LA) and glucose (Glu) from 10 −4 to 10 1 mM, with limits of detection of 108 nM and 224 nM, respectively. PCA results showed that the preprocessed SERS spectra contained distinguishable concentration-related information. Compared with linear regression, traditional machine learning methods, and standard CNNs, GKS-CNN achieved better prediction performance by extracting multi-scale features from nonlinear and overlapping spectra. For pure-component samples, the R 2 values of LA and Glu reached 0.99 and 0.98, respectively; for the joint dataset containing pure and mixed samples, the R 2 values were 0.98 and 0.97, respectively. In real sweat analysis, sample-level splitting was used to reduce data leakage, and the model classified four exercise-related states with an independent test accuracy of 95.00%. The average accuracies of 20 repeated random splits and 5-fold cross-validation were 94.50% and 93.50%, respectively. These results suggest that the proposed SERS-GKS-CNN strategy has potential for non-invasive sweat metabolite analysis and preliminary physiological-state recognition.
✓ 已验证
DOI
PubMed
高影响因子
OPTICS AND LASER TECHNOLOGY
·
2026
·
IF 5.2
Hao Chen,Min Li,Jichuan Gai,Jiyuan Wei,Zengshan Yu,Shan Guo,Zelong Li,Yanjun Wu,Xue Han,Kuihua Li,Guochao Shi
A double-antibody sandwich SERS immunoassay was developed for the highly specific capture of NSE in clinical serum. • The interpretable 1D-CNN model achieved an AUC of 0.9704, significantly outperforming DNN and RNN architectures. • SHAP and saliency maps deciphered the “black box”, identifying key Raman shifts at 607 and 1078 cm -1 as biomarkers. • A high-performance PSS@Cu-Ag@Ag SERS substrate with core-shell structure was fabricated using magnetron sputtering. • The periodic array provided dense “hot spots” with superior reproducibility, achieving RSD values below 6.4%. To address the issues of low imaging sensitivity in the clinical diagnosis of ischemic stroke (IS) and the cumbersome procedures associated with traditional Neuron-Specific Enolase (NSE) testing methods, this study proposes a rapid diagnostic approach which integrates Surface-enhanced Raman scattering (SERS) immunonanosensing technology with deep learning. Using magnetron sputtering, a periodic core–shell structured PSS@Cu-Ag@Ag active substrate was fabricated on a periodic microsphere array (PSS). The NSE biomarker in serum was specifically captured via a double-antibody sandwich immunoassay, and the spectra were subjected to deep feature extraction using a one-dimensional convolutional neural network (1D-CNN). Results showed that the model achieved an area under the curve average AUC of 0.9704 under five-fold cross-validation, and the SHapley Additive exPlanations (SHAP) interpreter successfully identified key differential Raman shift such as 607 cm −1 and 1078 cm −1 , enhancing the interpretability of the algorithm. This approach enables robust and transparent classification of clinically heterogeneous samples, providing a highly sensitive and intelligent medical solution with great potential for practical clinical implementation in the auxiliary diagnosis of IS. Download: Download high-res image (125KB) Download: Download full-size image
✓ 已验证
产品关联
DOI
高影响因子
FOOD CHEMISTRY
·
2026
·
IF 10.4
Haitong Wang,Cunxiang Bo,Bingxin Xu,Yu Liu,Mengping Zhang,Xinyuan Zhao,Liqun Song,Hua Shao,Cuijuan Wang
•AuNPs-modified COF on a portable 25-well plate for testing DIF and FLU residues. • •Integration of adsorption and SERS functions for streamlined analyses. • • Portable, on-site detection system enabling field-ready pesticide monitoring. • • Ready-to-use, pretreatment-free SERS assay delivering real-time results. We developed a ready-to-use surface-enhanced Raman scattering (SERS) sensor for rapid, pretreatment-free detection of difenoconazole (DIF) and flusilazole (FLU) in peach and lychee juices. The substrate combines Au nanoparticles (AuNPs) with covalent organic frameworks (COF) and is implemented on a portable 25-well plate, enabling in situ testing. Juices can be directly applied to the SERS-active Au/COF composite, allowing simultaneous adsorption and signal generation. The correlation between SERS intensity and logarithmic concentration yielded R-values between 0.925 and 0.986, meeting the monitoring needs of non-laboratory scenarios. The entire workflow completes within 12 min, offering a faster alternative to conventional methods while maintaining high sensitivity and reproducibility. Detection limits reach 0.96–1.22 ppb for DIF and FLU, both of which are below the regulatory maximum residue limits. Distinct SERS fingerprints enable reliable discrimination of mixed residues across juice matrices, supporting rapid on-site monitoring and cost-effective pesticide surveillance. Download: Download high-res image (233KB) Download: Download full-size image
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2026
·
IF 4.8
Ziyang Bian,Jie Wang,Zetong Li,Yue Wang,Zhenshan Yang,Hefu Li
Paper-based surface-enhanced Raman scattering (SERS) substrates have garnered considerable attention as eco-friendly, sensitive platforms for trace-level pesticide residue detection. Nevertheless, the development of paper-based SERS substrates that can simultaneously meet the requirements of scalable fabrication, high sensitivity, and excellent reproducibility remains a critical challenge. Herein, a flexible paper-based SERS substrate was fabricated by employing cigarette inner liner paper (CILP) as a supporting matrix, on which silver nanoislands (Ag NIs) were uniformly deposited via a facile, scalable magnetron sputtering approach. The water-absorbent surface of CILP possesses a hydrophilic porous structure that can efficiently enrich analytes and form spatially distributed SERS hotspots after decoration with Ag NIs. Meanwhile, the waterproof back layer of CILP effectively inhibits liquid penetration and prolongs the residence time of analyte solutions on the absorbent surface. After optimizing the sputtering time, the as-prepared Ag NIs@CILP substrate achieved favorable detection performance for rhodamine 6G with a detection sensitivity down to 10 −8 M, together with good uniformity (relative standard deviation, RSD = 3.44%) and reliable reproducibility (RSD = 4.63%). When integrated with a portable Raman spectrometer, this SERS substrate enabled the trace detection of malachite green in spiked lake water (10 −6 M) and thiram on spiked apple peels (10 −7 M). These results validate that the developed paper-based SERS substrate holds great potential for rapid on-site monitoring of pesticide residues in aquatic environments and on fruit surfaces.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
International Journal of Nanomedicine
·
2026
·
IF 8.7
Jian Tao,Binbin Zeng,Caili Bi,Minyi Xu,Xiaxian Gu,Dingding Jing,Jun Sun
Purpose Ultra-sensitive detection of exosomal miR-21 is crucial for the early diagnosis of colorectal cancer. This study aims to develop a cascade amplification platform based on surface-enhanced Raman scattering (SERS), combining rolling circle amplification (RCA) and CRISPR/Cas12a, to enable ultra-sensitive quantitative detection of exosomal miR-21.Methods A SERS substrate was constructed using streptavidin-modified concave gold nanocubes (CGNs), and gold double-stranded probes loaded with Raman reporter molecules were used as SERS probes. The two components are controllably linked via a single-stranded DNA molecule with a thiol group at one end and biotin at the other, forming a stable detection system. Target-triggered RCA generates a repeat sequence, which, under the mediation of crRNA, activates Cas12a cleavage, causing the probe to be released from the substrate surface and resulting in a significant attenuation of the SERS signal.Results This platform achieves three-stage cascading signal amplification via RCA, CRISPR/Cas12a, and SERS, with a detection limit at the femto-mole (fM) level and a total detection time of approximately 80 minutes. The results were consistent with those of qRT-PCR, demonstrating high sensitivity, high specificity, and reliability.Conclusion This study proposes an RCA-CRISPR-SERS cascade amplification platform that provides a highly sensitive and specific method for detecting miR-21 in exosomes, offering potential clinical value for the early diagnosis and dynamic monitoring of colorectal cancer.
✓ 已验证
DOI
高影响因子
MICROCHIMICA ACTA
·
2026
·Vol. 193
·期 6
·387
·
IF 5.4
Yu Zengshan,Wu Yanjun,Guo Shan,Li Zelong,Cui Jiahao,Shi Guochao
Chronic kidney disease (CKD) has become a major global public health issue. Due to its insidious onset and atypical early symptoms, patients often fail to detect it in time and receive effective intervention. Therefore, conducting early screening and diagnosis is of great significance for delaying the progression of renal failure and reducing the burden on patients and society. Combining surface-enhanced Raman scattering (SERS) technology, immunochromatography and artificial intelligence algorithm, this study utilized serum kidney injury molecule-1 (KIM-1) molecule as a key biomarker to construct a serum-based CKD diagnostic model, aiming to achieve efficient and accurate CKD screening. A total of six models were included for comparative analysis, among which the extreme gradient boosting (XGBoost) model successfully achieved precise classification of CKD, with a classification accuracy of 98.42% and an area under the curve (AUC) of 99.96%. Furthermore, leave-one-out cross-validation was used to validate this model, with an overall classification accuracy of 96.79%. These results indicated that the model exhibited good stability and strong robustness. In conclusion, the artificial intelligence-driven immunochromatography SERS biosensing technology with serum KIM-1 molecule as the early warning radar is expected to become a new technical strategy for intelligent early screening and auxiliary diagnosis of CKD. Graphical The alternative text for this image may have been generated using AI.
✓ 已验证
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）