NEW JOURNAL OF CHEMISTRY
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2017
·Vol. 41
·期 23
·14342-14350
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IF 3.269
Hongji Li,Xiaonan Wang,Zirun Wang,Jiaqi Jiang,Yu Qiao,Maobin Wei,Yongsheng Yan,Chunxiang Li
Herein, a novel technique that combined surface enhanced Raman scattering (SERS) with molecular imprinting was presented. In this study, SERS-active Ag particles with different surface morphologies were synthesized with the assistance of small acid molecules. Through the SERS investigation of different Ag morphologies, the Ag particles with a wool-ball surface morphology presented the perfect SERS capacity. Then, the Ag particles with a wool-ball surface morphology were used as the SERS substrate and combined via the technique of molecular imprinting to prepare SERS-MIPs for LC detection in a river. Under the optimal condition, a good linear relationship (R2 = 0.98) was observed between the Raman signal (at 1595 cm−1) and the concentration of the templates, and the limit of detection was 0.013 μmol L−1. Moreover, the selective experiment proved that the specific selectivity of this material was due to the template. It has been confirmed that Ag-MIP is a kind of highly sensitive and selective sensor material for pyrethroid detection.
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INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
·
2024
·
IF 7.7
Haonan Wang,Yujia Chen,Yixuan Yang,Peipei Xu,Bohan Zhang,Yudong Lu,Wenjin He,Yunzhen Liu,Jian-Han Zhang,Xiufeng Xiao,Ruiyun You
In response to the prevalent issue of thiram as a common pesticide residue on the surface of fruits and vegetables, our research team employed an acidic hydrated metal salt low co-fusion solvent to dissolve cellulose lysis slurry. Subsequently, a regenerated cellulose membrane (RCM) was successfully prepared via sol-gel method. Uniformly sized Ag nanoparticles (NPs) were deposited on RCM utilizing the continuous ion layer adsorption and reaction (SILAR) technique. The resulting Ag NPs/RCM flexible surface-enhanced Raman spectroscopy (SERS) substrates exhibited a minimum detection limit of 5 × 10 −9 M for Rhodamine 6G (R6G), demonstrating good uniformity (RSD = 4.86 %) and reproducibility (RSD = 3.07 %). Moreover, the substrate displayed a remarkable sensitivity of 10 −10 M toward thiram standard solution. Given its inherent flexibility, the substrate proves advantageous for the detection of three-dimensional environments such as fruit and vegetable surfaces, and its practicality has been confirmed in the detection of thiram residue on apples, tomatoes, pears, and other fruits and vegetables.
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Frontiers in Chemistry
·
2024
·
IF 3.8
Tian Yongfeng,Zhao Lu,Shen Xiaofeng,Shang Shanzhai,Pan Yonghua,Dong Gaofeng,Huo Wang,Zhu Donglai,Tang Xianghu
Surface enhanced Raman spectroscopy (SERS) is a unique analytical technique with excellent performance in terms of sensitivity, non-destructive detection and resolution. However, due to the randomness and poor repeatability of hot spot distribution, SERS quantitative analysis is still challenging. Meanwhile, snus is a type of tobacco product that can release nicotine and other components in the mouth without burning, and the rapid detection technique based on SERS can reliably evaluate the amount of nicotine released from snus, which is of great significance for understanding its characteristics and regulating its components. Herein, the strategy was proposed to solve the feasibility of SERS quantitative detection based on self-assembled core-shell nanoparticles with embedded internal standards (EIS) due to EIS signal can effectively correct SERS signal fluctuations caused by different aggregation states and measurement conditions, thus allowing reliable quantitative SERS analysis of targets with different surface affinity. By means of process control, after the Au nanoparticles (Au NPs) were modified with 4-Mercaptobenzonitrile (4-MBN) as internal standard molecules, Ag shell with a certain thickness was grown on the surface of the AuNP@4-MBN, and then the Au@4-MBN@Ag NPs were used to regulate and control the assembly of liquid-liquid interface. The high-density nano-arrays assembled at the liquid-liquid interface ensure high reproducibility as SERS substrates, and which could be used for SERS detection of nicotine released from snus products. In addition, time-mapping research shows that this method can also be used to dynamically monitor the release of nicotine. Moreover, such destruction-free evaluation of the release of nicotine from snus products opens up new perspectives for further research about the impact of nicotinoids-related health programs.
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Nano Today
·
2024
·
IF 13.2
Yujiao Xie,Chao Chen,Chenguang Zhang,Lei Xu,Zihou Li,Wenzhi Ren,Xiawei Xu,Yong Ren,Jie Lin,Aiguo Wu
Conventional methodology for accurate identification of breast tumor subtypes is complex and time-consuming. Label-free SERS (surface-enhanced Raman scattering) enables rapid detection of biomolecules and provides intrinsic fingerprint information of analytes. Exploring reliable SERS bioprobes with high sensitivity and repeatability is essential for efficient typing of cancer cells. In this study, a novel core-shell noble metal-semiconductor Cu 2 O@Ag heterostructure with uniform morphology and outstanding SERS activity for label-free detection has been proposed. The Cu 2 O@Ag SERS substrates exhibit exceptional sensitivity to detect 4 nitrophenthiol (4NTP) at extreme low concentration (10 −15 M), and the SERS spectra demonstrate excellent selectivity and repeatability (RSD ≈ 8.84%). The enhancement mechanism is attributed to the synergistic enhancement of photoinduced charge transfer and boosted surface plasmon resonance effect, confirmed by reduced fluorescence lifetime of methylene blue on SERS substrates and enhanced electromagnetic field intensity via finite-difference time-domain computational simulation. The ultrahigh sensitivity and good signal stability endow Cu 2 O@Ag SERS bioprobe potential for accurate detection of four breast cancer cells subtypes. The rich fingerprint information from SERS spectra is processed using linear differentiation analysis, revealing a high accuracy of 93.3% for subtypes classification. These results demonstrate an excellent SERS bioprobe with high sensitivity and repeatability for precision diagnosis has been developed.
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Journal of Materials Chemistry C
·
2025
·
IF 5.1
Ksenia A. Maleeva,Arina Pavlova,Georgii V. Zmaga,Alexander V. Baranov,Anton P. Tkach,Mikhail A. Baranov,Evgeny Smirnov,Kirill V. Bogdanov
Surface-enhanced Raman scattering (SERS) tags based on polymer microspheres (PMS) show significant promise for applications in liquid environments, particularly in the study of biological systems. The core principle of this fabrication method is to concentrate gold nanoparticles within a single point, with dimensions comparable to the diameter of the laser spot. These tags remain clearly visible in the solution and, owing to the formation of interparticle hot spots, yield enhanced SERS signals. In this work, we developed gold nanoparticle (AuNP) decorated polymer microspheres (PMS) for use as efficient SERS tags. A well-established layer-by-layer deposition technique was compared with nanoparticle aggregation from quasi-stable colloidal solution to fabricate SERS tags. The SERS performance of these AuNP-decorated PMS was evaluated using rhodamine 6G as a non-resonant model molecule. Structures fabricated by the aggregation method showed a higher surface filling factor (FF = 32%) and notably greater analytical enhancement (AEF of 1.4 × 104), significantly outperforming those from layer-by-layer deposition (14% FF, 7.5 × 103 AEF). Furthermore, the practical applicability of these SERS tags was validated through two applications: the quality assessment of motor oil in the non-aqueous environment and the quantitative analysis of 2,4-dinitrophenol in the aqueous solution. These results underscore the potential of the AuNP-decorated PMS SERS tags for diverse analytical and quality control applications.
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MICROCHEMICAL JOURNAL
·
2025
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IF 5.1
Shancai Guo,Qizhong Hu,Xuye Zhang,Jinjun Zhao,Jianyuan Lin,Zhijian Jia,Teng Wang,Haili Wang,Chunjie Bai,Jinghua Chen
The presence of trace tetracycline (TC) in aqueous environments demands sensitive and scalable detection methods, while conventional techniques often suffer from poor selectivity and high detection limits. Herein, a synergistic optimization strategy combining response surface methodology (RSM) and backpropagation (BP) neural network was developed to precisely tailor the localized surface plasmon resonance (LSPR) properties of gold nanorods (AuNRs) for constructing a high-performance surface-enhanced Raman scattering (SERS) platform for TC detection. One-way experiments were used to investigate the effects of individual parameters on AuNR structure, followed by Box-Behnken design to build a composite response value integrating LSPR peak position and absorption intensity ratio, enabling optimization of CTAB, AgNO 3 , AA, and NaBH 4 concentrations. A BP neural network was applied to further enhance parameter prediction accuracy. The optimal synthesis conditions yielded AuNRs with good morphological uniformity and an LSPR peak at 767 nm, confirmed by UV–Vis and TEM. The resulting SERS platform achieved a detection limit of 8.5 × 10 −10 M (S/N = 3) for TC, about six orders of magnitude more sensitive than conventional Raman. In real water samples, recoveries ranged from 91.0 % to 103.0 %, with RSD < 5 %, indicating excellent reproducibility and anti-interference capability. This study demonstrates a generalizable route for precision nanostructure synthesis and offers a reliable platform for ultrasensitive antibiotic detection in complex aqueous matrices, showing strong promise for environmental and food safety monitoring.
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ADVANCED FUNCTIONAL MATERIALS
·
2025
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IF 19
Yunpeng Wang,Chaochao Ma,Xiaojiao Zhao,Jiacheng Li,Jingting Han,Xinpeng Lv,Guanghong Li,Yulei Bi,Yang Li
Reliable and label-free detection of small molecule biomarkers in urine remains a significant challenge due to signal suppression caused by abundant interfering macromolecules such as proteins. Here, a surface-enhanced Raman spectroscopy (SERS) platform is developed based on self-assembled hydrophobic molecular layers combined with calcium-assisted molecular recognition to selectively enrich and enhance representative urinary biomarkers, including creatinine and albumin fragments. Hydrophobic monolayers exclude polar or high molecular weight interferences from plasmonic interfaces, while calcium ions coordinate with functional groups on target molecules to enhance their affinity and orientation at SERS hotspots. The experimental results demonstrate that the platform provides highly reproducible and selective signals in synthetic urine without any chemical labeling or separation. Density functional theory simulations further confirm the dual enhancement mechanism by showing improved adsorption energy and vibrational mode alignment for the calcium-coordinated creatinine complex. This strategy enables ultrasensitive, interference-resistant detection of clinically relevant metabolites, providing a general approach to biomarker sensing in real biological fluids.
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FOOD CONTROL
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2025
·
IF 6.3
Xishun Peng,Zhongchen Bai,Caizhen Zu,Yuxue He,Qi Zhao
The presence of thiram residues on fruit peels posed a significant risk to human health. Here, we prepared an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) sensor of SPE/RGO/Au@Ag flexible film to detect thiram residues on fruit peel. The surface of this film was evenly covered with Au@Ag nanoparticles, which allowed it to specifically identify thiram residues through the formation of Ag-S bond. In addition, an electrochemical method was used to modulate the energy level matching between the SERS film and the thiram molecules to improve the chemical enhancement effect of the SERS. The results indicated that the charge transfer degree between the SERS film and the thiram molecules was up to 0.875. The SPE/RGO/Au@Ag film achieved a limit of detection (LOD) of 2.1 pM at -1.3 V. Owing to its excellent SERS performance, the SPE/RGO/Au@Ag film could successfully recognize the thiram residues on apple and orange peels, with recoveries of 91% to 107% and from 89% to 102%, respectively. The flexible EC-SERS sensor offers considerable promise for sensitively recognizing thiram residues on fruit peels.
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ANALYTICA CHIMICA ACTA
·
2022
·
IF 6.911
Yan Yang,Zhuoqun Su,Di Wu,Jianghua Liu,Xianlong Zhang,Yongning Wu,Guoliang Li
Mycotoxin contamination is a serious global issue in food safety. The accurate detection of mycotoxins in complex samples, particularly via a portable detection system that realizes multi-analyte detection, remains a great challenge. Here, a polystyrene (PS)-mediated surface-enhanced Raman scattering (SERS) aptasensor was designed for ultrasensitive and simultaneous detection of multiple mycotoxins in food samples. First, the novel Raman tags were prepared using PS as nanocontainer to encapsulate abundant Raman reporters. The PS nanocontainer with Raman reporters was then functionalized by aptamer as an effective target-recognition platform. Second, the single-strand binding protein modified magnetic nanoparticles ( [email protected] ) were used as a magnetic capture substrate. When the target mycotoxin was present and recognized by its aptamer, the combination of PS-Apt and mycotoxins can hinder the binding between PS-Apt and [email protected] Consequently, after the magnetic separation and treatment by THF solution, fewer biological-silent reporter probes were released from PS, causing the reduction of SERS signal as a function of target mycotoxins concentration. Due to the high loading capacity of PS and the excellent signal conversion and amplification of aptamer-assisted SERS assay, the proposed strategy is reliable and ultrasensitive for the determination of multiple mycotoxins. The limit of detection was as low as 0.159 fg L −1 , 2.015 fg L −1 , and 1.561 fg L −1 for ZEN , OTA and AFB 1 , respectively. This strategy not only raises a new idea for designing novel Raman tag, but also broadens the application of SERS for multiple detection of trace target.
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CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
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2025
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IF 1.3
Weixin Liang,Chang Wang,Yumei Song,Jingui Huang,Zhenwei Liao,Yongqian Lei,Pengran Guo
We report a rapid method for the selective enrichment and sensitive detection of malachite green (MG) in aquaculture water. Magnetic molecularly imprinted polymers (MMIPs) prepared via Pickering-emulsion polymerization were employed in a magnetic dispersive SPE workflow prior to surface-enhanced Raman spectroscopy (SERS). Partial least squares (PLS) models were built on preprocessed SERS spectra to predict MG concentrations. The optimised model achieved excellent linearity (R train =0.9897; R test =0.9836), a detection limit of 0.19 ng/mL, and spike recoveries of 80 to 110% in real aquaculture water. Results were benchmarked against HPLC, showing good agreement. The method integrates selective preconcentration with portable SERS readout, enabling on-site MG screening with high sensitivity and short turnaround. The method demonstrated good robustness and accuracy under the optimized pH, adsorption time, and MMIPs mass conditions. This combined MI-MDSPE/SERS-PLS strategy provides a practical route for rapid monitoring of MG in aquaculture settings.
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FOOD CHEMISTRY
·
2025
·
IF 9.8
Yao Liu,Runzi Zhang,Xiaoyu Yang,Li Tang,Bing Shao,Yi He,Xiao Yang
With the growing public concern over environment and food safety, the detection of trace amounts of bisphenols S (BPS) becomes crucial. In this work, an ultrasensitive surface-enhanced Raman scattering (SERS) biosensor was developed based on hydrogen-bonded organic frameworks@horseradish peroxidase (HOFs@HRP) and hollow bowl-shaped SERS substrates (AFRNBs@AuNPs) for the detection of BPS. Due to the excellent biocompatibility and mild synthesis conditions, HOFs had been utilized as protective matrices for HRP, effectively preserving its enzymatic activity. Furthermore, hollow bowl-like morphology AFRNBs@AuNPs were successfully prepared as efficient SERS substrate. When BPS was present, the stronger affinity between BPS and its aptamer triggered a displacement reaction, allowing HOFs@HRP to bind with AFRNBs@AuNPs, thereby enabling the catalytic conversion of TMB into oxTMB and generating a detectable Raman signal. Accordingly, the biosensor exhibited a detection limit of 1.28 × 10 −12 M. This method pioneers a new approach for trace BPS detection, demonstrating broad application prospects.
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ACS Applied Materials & Interfaces
·
2025
·
IF 8.2
Abubakkar Khan,Jiawei Shen,Aiman Zahid,Cancan Hu,Xuhua Xu,Xiaoyu Cheng
Label-free surface-enhanced Raman scattering (SERS) exhibits potential for liquid biopsies but requires further developments with clinical translations. Here, we demonstrate a label-free SERS immunoassay for quantifying amyloid beta (Aβ) using a clinical cohort of Alzheimer’s disease (AD), featuring robustness, speed, and economical and clinical validity. This was demonstrated using a gap-mode SERS with aptamer-modified mesoporous gold (mesoAu) and gold-coated magnetic nanoparticles (Au@MNPs). The mesoAu substrate was prepared by electrodeposition with pore sizes tuned between 30 and 70 nm, and the Au@MNPs were synthesized by hydrothermal methods. A self-assembled monolayer with a mixture of polyethylene glycol (PEG) and DNA aptamers was modified onto the surface of gold, reducing nonspecific adsorptions and enabling target recognition to allow measurements in complex media. Using the intrinsic SERS fingerprints of phenylalanine (Phe), which are orthogonal to the DNA aptamer, it is shown that this assay is capable of quantifying Aβ42 in cerebrospinal fluid (CSF) in a label-free manner, with a limit of detection (LoD) of ∼0.15 pM, an assay time of ∼20 min, and cost less than ∼$10. The assay was further demonstrated using a clinical cohort containing 30 cerebral spinal fluid (CSF) samples of AD, mild cognitive impairment (MCI), and controls. The results showed clinical validity in differentiating the groups. Due to the simplicity and robustness of the assay, it is expected that this work will pave the way for label-free SERS bioassays for early diagnosis of major diseases using molecular biomarkers.
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