FOOD CHEMISTRY
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2026
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IF 10.4
Wenlong Liao,Juan Wu,Qian Long,Ying Zhu,Junling Shao,Yue Ma,Qiuzuo Shen,Huiming Li,Lingpu Jia,Kunping Liu
A MoS 2 @Ag nanoflower SERS substrate with 1T/2H mixed-phase is synthesized. • The prepared substrate achieving a high SERS enhancement factor of 1.76 × 10 8 . • The Transformer network achieved 99.82% classification accuracy for four antibiotics. Fluoroquinolone antibiotics (FQs) residues in dairy products pose a persistent challenge to food safety. This work establishes an integrated analytical platform combining a three-dimensional molybdenum disulfide‑silver nanoflower (MoS 2 @Ag NFs) SERS substrate with a transformer network based deep learning model for the sensitive detection and intelligent classification of FQs in milk. The prepared MoS 2 @Ag NFs substrate with a 1T/2H mixed-phase MoS 2 and a hierarchical structure densely decorated with silver nanoparticles (Ag NPs), exhibits a high enhancement factor and achieves nanomolar-level detection limits for four representative FQs. To overcome the discrimination challenge posed by the highly similar spectral signatures of different FQs, a transformer network is employed to automatically extract decisive spectral features via its self-attention mechanism, which results in an exceptional classification accuracy exceeding 99.82%. The integrated platform enables sensitive and intelligent monitoring of FQs in milk, providing a promising strategy for on-site detection of antibiotic residues in complex food matrices. Download: Download high-res image (125KB) Download: Download full-size image
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MICROCHEMICAL JOURNAL
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2026
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IF 5.2
Yan Zeng,Peng Qi,Yan Sun,Yijun Lin,Peng Wang
Programmable DNA-assembled SERS nanotag enables simultaneous target capture and signal amplification. • Dual-mode LFA merges rapid visual screening with ultrasensitive SERS quantification on one platform. • Robust performance in complex clinical samples supports point-of-care infectious disease diagnostics. • Simultaneous dual-bacteria detection via LFIA achieved 20 min visual readout and 10 cfu/mL sensitivity under SERS system. The persistent threat of infectious diseases underscores the critical need for point-of-care diagnostic tools that are both rapid and ultrasensitive. This study addresses this challenge by developing a novel dual-mode lateral flow assay (LFA) platform powered by a programmable, DNA framework-assembled surface-enhanced Raman scattering (SERS) nanotag. The innovation lies in the rational integration of a high-load SERS signal core and a tailored plasmonic enhancer through DNA nanotechnology. First, a three-dimensional rolling circle amplification (RCA)-DNA nanoassembly scaffold was fabricated RCA reaction. Pre-synthesized Raman signal probes conjugated with gold nanoparticles were then immobilized onto this scaffold. Because the RCA template had been designed to include bacteria-specific primers, the assembled DNA-based SERS nanotag exhibits both the ability to specifically capture target microorganisms and the capacity for strong SERS signal output. When deployed on a standard LFA strip, this nanotag enables two distinct yet complementary detection modes: a rapid colorimetric readout for immediate, instrument-free screening and a quantitative SERS measurement for ultrasensitive confirmation. The platform enabled rapid visual detection via test strips within 20 min and achieved single-digit colony SERS quantification, demonstrating an ultrasensitive detection limit while retaining high specificity and robustness in complex sample matrices. This work establishes a versatile and powerful paradigm for next-generation point-of-care diagnostics, merging the convenience of rapid testing with the precision of laboratory-grade quantification, and highlights the transformative potential of synthetic biology in advanced biosensing. Download: Download high-res image (104KB) Download: Download full-size image
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CHEMICAL ENGINEERING JOURNAL
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2026
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IF 12.5
Weiqing Xiong,Yu Yang,Lei Huang,Yue Zhang,Xiao Li
The accurate detection of trace pharmaceuticals and pesticides in aquatic environments remains a formidable analytical challenge, primarily due to ultralow contaminant concentrations, complex matrix interferences, and the structural similarity among many target analytes—factors that severely compromise selectivity and reliability in conventional sensing approaches. Surface-enhanced Raman scattering (SERS) offers a powerful alternative owing to its exceptional sensitivity and molecular fingerprinting capability. However, its practical deployment in real-world water samples has been impeded by insufficient selectivity and inadequate signal discrimination for structurally analogous compounds. To overcome these limitations, we present an innovative core-shell SERS substrate—gold superparticles encapsulated within a zeolitic imidazolate framework-8 (denoted GSPs@ZIF-8)—engineered to synergistically combine molecular preconcentration, matrix exclusion, and electromagnetic field enhancement. The porous ZIF-8 shell selectively enriches trace thiazole/imidazole-type analytes while excluding interfering species, thereby addressing the dual challenges of low abundance and matrix complexity. Meanwhile, the precisely controlled nanogaps between GSPs generate intense and uniform “hot spots”, delivering an enhancement factor of up to 3.01 × 10 8 and enabling a detection limit as low as 0.1 nM for 2-mercaptobenzothiazole (MBT). Critically, the GSPs@ZIF-8 platform achieves discrimination and simultaneous quantification of three highly similar compounds—MBT, 5-amino-2-mercaptobenzothiazole (AMT), and 2-mercaptobenzimidazole (MBI)—in mixed aqueous solutions. This work establishes a robust, selective, and ultrasensitive SERS strategy for monitoring structurally homologous contaminants in complex environmental matrices, paving the way toward practical on-site water quality assessment.
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Analytical Methods
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2026
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IF 3
Qingli Xie,Xueyang Wang,Boxue Chang,Yinlan Ruan
Enrofloxacin (EnFX), an antibiotic widely used in animal husbandry, can accumulate in the food chain due to excessive or long-term residues, posing a potential threat to human health. Surface-enhanced Raman scattering (SERS) technology, with its advantages of high sensitivity and rapid label-free analysis, offers a new approach for antibiotic residue detection. However, SERS substrate preparation at high temperature, poor signal reproducibility, and dependence on Raman spectroscopy still limit its practical application. To address these issues, this study proposed a flexible SERS substrate preparation scheme based on polyvinyl alcohol (PVA) hydrogel and silver nanoparticles (AgNPs). The substrate is prepared by a room-temperature seed growth method, which is simple, highly reproducible, and can be combined with portable Raman devices for rapid and flexible on-site detection. Research showed that the AgNPs/PVA hydrogel substrate exhibited excellent sensitivity and signal consistency in the detection of enrofloxacin and Rhodamine 6G (R6G), with a relative standard deviation (RSD) as low as 6%, and can be stably stored in air for more than one month. This method combines low cost, high scalability, and excellent environmental adaptability, providing an efficient, economical, and sustainable solution for the portable detection of antibiotic residues.
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ANALYTICA CHIMICA ACTA
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2026
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IF 6.1
Huilun Zhang,Wenhui Wang,Shanshan Xue,Limei Yin,Lijin Wang,Heera Jayan,Xiaobo Zou,Zhiming Guo
Background Rapid screening of pesticide residues directly on fruit surfaces is essential for food safety monitoring. However, conventional analytical methods usually require complicated sample pretreatment. This limitation restricts their practical use in in-situ residue analysis. Moreover, the non-planar morphology of fruit surfaces requires sensing platforms with good conformability. Results In this study, a low-cost flexible surface-enhanced Raman scattering (SERS) sensor was developed for thiabendazole (TBZ) residue detection on apple. Bimetallic Au@Ag core-shell nanocubes (Au@AgNCs) were immobilized onto inexpensive cellulose filter paper (CFP) through a simple polyelectrolyte-mediated layer-by-layer self-assembly strategy. The sharp corners of Au@AgNCs provided abundant plasmonic hotspots and strong Raman enhancement. The polyelectrolyte layers improved nanoparticle loading uniformity and substrate stability. The optimized sensor achieved an enhancement factor of 5.72 × 10 5 and showed good signal reproducibility. For in-situ detection of TBZ residues on apple, the sensor exhibited a linear response over 0.5–50 mg/L, with a correlation coefficient of 0.993 and a detection limit of 0.30 mg/L. The quantitative results were further validated by high-performance liquid chromatography (HPLC), confirming the reliability of the proposed sensor for real-sample analysis. Significance and novelty Overall, the Au@AgNCs/CFP/PSS flexible SERS sensor provides a low-cost and sensitive platform for in-situ detection of pesticide residues on irregular fruit samples.
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ANALYTICAL LETTERS
·
2025
·
IF 1.8
Denghao Li,Changqing Huang,Bo Yu,Dingyu Cui,Jiali Liu,Li Jiang
Polyvinyl alcohol (PVA)/Nb2C/Ag flexible SERS substrate was prepared by coating AgNPs in situ reduced by Nb2C on the surface of PVA. Sensitive SERS detection was achieved by adjusting the concentration of AgNO3, enabling the detection of 4-MBA with good homogeneity and reproducibility. The pesticide residues of phosmet on the surfaces of apples were detected by a simple wiping method with the flexible substrate. The detection range was 0.5 – 100 ppm, which met the detection standard of phosmet for fruits. The PVA/Nb2C/Ag flexible SERS substrate has the potential for convenient, rapid, and sensitive detection of pesticide residues on fruit surfaces.
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FOOD CHEMISTRY
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2026
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IF 10.4
Yan Sun,Lichun Yang,Leilei Wang,Yi Hou,Qin Luo,Xinglong Tao,Min Xie,Yongjun Hu
Accurate and rapid detection of glucose is of great significance for food safety and public health. In this study, we developed an Fe 3 O 4 @COF@Au(GOx) substrate based on magnetic COF materials. This substrate exhibits excellent adsorption capacity, enzymatic activity, and surface-enhanced Raman scattering (SERS) enhancement effect. This substrate can trigger a color reaction of 3,3′,5,5′-tetramethylbenzidine (TMB) and a change in the signal intensity of SERS when glucose is present. The ethanol Raman signal is used as the ratio signal to achieve the dual detection mode of colorimetric - ratiometric SERS. The dual-mode detection method boasts extremely high sensitivity and excellent selectivity with limits of detection for glucose of 0.17 μM in colorimetric and 10.7 nM in SERS. The dual-mode detection method effectively combines the simplicity of colorimetric detection with the high sensitivity of SERS, providing a highly promising solution for the detection of glucose in practical applications.
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OPTICS AND LASER TECHNOLOGY
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2026
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IF 5
Yuhan Wang,Xinghua Yang,Minghua Ma,Pingping Teng,Fengjun Tian,Rui Wang,Xin Li,Ao Guan,Xinyu Yang,Zhihai Liu,Jianzhong Zhang,Adam Jones,Kang Li
Surface-enhanced Raman scattering (SERS) technology has shown great potential for pesticide residue detection due to its high sensitivity and molecular fingerprinting capability. However, conventional SERS sensors still face challenges such as limited enhancement efficiency, insufficient environmental stability, high sample consumption, and poor portability, which restrict their practical applications. This paper first presents and demonstrates an in-fiber optofluidic SERS sensor based on the unique microstructure of a cloverleaf hollow fiber (CHF) structure, in which a graphitic carbon nitride/silver nanoparticle (g-C 3 N 4 /Ag NPs) nanocomposite is functionalized onto the inner wall as an active SERS substrate. The CHF consists of a solid core surrounded by four microchannels that naturally guide analyte solutions to efficiently interact with the evanescent field propagating along the fiber core. Through chemical bonding, the g-C 3 N 4 /Ag nanocomposite is firmly anchored to the channel surfaces, forming a stable and highly active Raman enhancement interface. Furthermore, the synergistic electromagnetic and chemical coupling between g-C 3 N 4 and Ag NPs markedly amplifies the Raman response. Benefiting from the unique structure of the cloverleaf fiber and the synergistic enhancement effect of the SERS composite substrate, the enlarged light-matter interaction area and continuous signal accumulation along the entire fiber, the sensor achieves detection limits of 5.21 × 10 −9 mol/L, 7.15 × 10 −8 mol/L and 2.88 × 10 −8 mol/L for representative pesticides, with excellent linearity and repeatability. Consequently, the compact and flexible configuration enables real-time, in situ, and trace-level detection, demonstrating great potential for portable optical sensing, environmental monitoring, and food safety applications.
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APPLIED SURFACE SCIENCE
·
2026
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IF 6.6
Fengwan Han,Mingde Yang,Yixin Yu,Shenghui Yi,Evgenia Yu. Afonyushkina,Min Guo,Deng Zhang,Shijun Gao,Lisha Xu,Qi Gao,Olesya O. Kapitanova,Irina A. Veselova,Binbin Zhou
The rapid and sensitive detection of trace contaminants in food, particularly pesticide residues and migrating packaging additives, remains a critical challenge in food safety monitoring. This has prompted the development of an innovative flexible surface-enhanced Raman scattering (SERS) substrate that overcomes conventional limitations, such as poor enhancement performance, insufficient stability, and narrow spectral response ranges. To address these challenges, this work proposes the strategic assembly of gold nanostars (AuNSs) and gold nanoparticles (AuNPs) on expanded graphite (EG)-modified filter paper to engineer a sandwich-structured SERS-active platform with exceptional broad-spectrum response capabilities, achieving optimal plasmonic coupling. At a 4:1 AuNSs/AuNPs ratio, the substrate generates high-density ‘hot spots’ with a remarkable enhancement factor (4.7 × 10 6 for R6G) and detection limits reaching 10 −9 M, coupled with outstanding thermal stability (20–100 °C) and long-term performance (30 days), while demonstrating practical detection of thiram residues (0.24 ppm, 20 × below US safety limits) and DMSO (1 % v/v), thereby providing fundamental insights into hybrid plasmonic nanostructures while delivering a field-deployable solution for comprehensive food safety monitoring from farm to table.
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JOURNAL OF FOOD AND DRUG ANALYSIS
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2022
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IF 6.157
Wenwen Chen,Qiang Chen,Wei Zhang,De Zhang,Zhi Yu,Ying Song,Xiubing Zhang,Dejiang Ni,Pei Liang
The problem of aflatoxin contamination emerged gradually in the field of food safety. Surface-enhanced Raman spectroscopy (SERS) is an ultra-sensitive and non-destructive spectroscopy technology with extensive application prospects in the detection field. In this paper, with the detection of AFB1 as the target, Au@Ag NPs substrate with uniform morphology and strong SERS effect was prepared. Furthermore, the intermediates formed by hydrogen bonding between AFB1 and melamine facilitate the binding of toxin molecules to the substrate. Moreover, the AFB1-melamine-Au@Ag NPs detection system was established by optimizing the melamine dosage, and the limit of detection can reach 10 −8 mol/L (M). In this method, AFB1 (concentration range of 10 −4 M – 10 −7 M) in tea oil, the Raman signal intensity of AFB1 shows an excellent linear, logarithmic relationship, and the correlation coefficient is 0.9685. Therefore, this work has achieved simple, sensitive, and stable AFB1 detection and has broad application potential in food safety detection.
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Materials Chemistry Frontiers
·
2023
·Vol. 7
·期 6
·1100-1109
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IF 7
Suyang Li,Junjie Chen,Wanbing Xu,Biao Sun,Jiechen Wu,Qiang Chen,Pei Liang
Bimetallic gold core–silver shell (Au@Ag) surface-enhanced Raman scattering tags draw broad interest in the fields of biological and environmental analyses. Herein, an efficient hybrid microfluidic chip was designed to prepare uniform Au@Ag core–shell nanoparticles, and DTNB was used as the internal standard tag molecule to prepare Au@DTNB@Ag for SERS detection. Homogeneous core–shell nanoparticles with a particle size of 90 nm were prepared by mixing a silver precursor and a gold core in a microfluidic chip. The relative standard deviation (RSD) of the particle size distribution was close to 10%, and the detection limit of 4-MBA was as low as 10-10 M. In order to solve the influence of SERS signal fluctuation, a uniform Au@DTNB@Ag core–molecule–shell structure was synthesized in a microfluidic chip, and the characteristic peak of the analyte was corrected by the relative intensity of the DTNB characteristic peak (1335 cm−1). The experimental results showed that the SERS detection was achieved with high reproducibility, and the SERS peak intensity had a good linear correlation with the concentration. The homogeneous SERS substrate prepared using a microfluidic chip has potential for sensitive and reliable detection of environmental chemical contaminants.
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Analytical Methods
·
2022
·Vol. 14
·期 11
·1134-1139
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IF 3.532
Xiaojuan Zhao,Dan Sun,Man Yu,Yan Xu,Hui Xie
Montmorillonite (MMT) coated with roughened noble metal nanoparticles are novel hybrid nanocomposite with a wide range of applications including agriculture, materials science and biomedical engineering. Herein, we developed a hybrid nanocomposite (MMT/AgNPs) based on MMT coated with silver nanoparticles (AgNPs), which can be used as a cost-effective and efficient surface-enhanced Raman spectroscopy (SERS) substrate for the detection of pesticides in fruits and vegetables. MMT itself is negatively charged and can be assembled with positively charged AgNPs through electrostatic interactions. Moreover, MMT has a layered 2D structure that possesses a large surface area, which can load a large number of AgNPs to form more SERS hotspots for the ultrasensitive measurement. SERS performance of the MMT/AgNPs nanocomposite was tested by 5,5′-dithiobis-(2-nitrobenzoic acid) (DTNB) and the substrate can obtain the strongest SERS enhancement effect with the volume ratio of MMT/AgNPs of 1 : 10. These substrates were applied in the measurement of thiram in apples and spinach samples by SERS. Detection limits of pesticide molecules of 5.0 × 10−8 M and 1.0 × 10−7 M in apples and spinach, respectively, were obtained. Most importantly, MMT nanosheets are a robust platform that allowed AgNPs to be evenly and thoroughly distributed and stabilized over the substrate, improving the repeatability and stability of SERS detection. These results reveal that the MMT/AgNPs nanocomposites are suitable substrates for the real-world SERS analysis of pesticide and other contaminants in complex food matrices.
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