Nanomaterials
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2022
·Vol. 12
·期 14
·2394
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IF 5.719
Xingang Chen,Lei Zhu,Zhipeng Ma,Meilin Wang,Rui Zhao,Yueyue Zou,Yijie Fan
Industrial wastewater containing large amounts of organic pollutants is a severe threat to the environment and human health. Thus, the rapid detection and removal of these pollutants from wastewater are essential to protect public health and the ecological environment. In this study, a multifunctional and reusable surface-enhanced Raman scattering (SERS) substrate by growing Ag nanoparticles (NPs) on ZnO nanorods (NRs) was produced for detecting and degrading Rhodamine B (RhB) dye. The ZnO/Ag substrate exhibited excellent sensitivity, and the limit of detection (LOD) for RhB was as low as 10−11M. Furthermore, the SERS substrate could efficiently degrade RhB, with a degradation efficiency of nearly 100% within 150 min. Moreover, it retained good SERS activity after multiple repeated uses. The interaction between Ag NPs, ZnO, and RhB was further investigated, and the mechanism of SERS and photocatalysis was proposed. The as-prepared ZnO/Ag composite structure could be highly applicable as a multifunctional SERS substrate for the rapid detection and photocatalytic degradation of trace amounts of organic pollutants in water.Keywords:SERS;organic pollutants;ZnO/Ag;sensitivity;photocatalytic
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ANALYTICAL AND BIOANALYTICAL CHEMISTRY
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2023
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IF 4.3
Li Xiaodong,Zhang Yanyan,Awais Muhammad,Zhang Hao,Naqvi Syed Muhammad Zaigham Abbas,Li Linze,Xiong Yani,Hu Jiandong
Pesticides that linger in the environment and ecosystems for an extended period can cause severe and dangerous health problems in humans. To detect pesticides in foods, the development of high-sensitivity and quick screening technologies was required. This research investigated the performance of Au@Ag NPs with varying thicknesses of the silver shell for detecting trace quantities of thiabendazole (TBZ) in apples using surface-enhanced Raman spectroscopy (SERS). The Au@Ag NPs were synthesized by coating 32 nm gold seeds with different thicknesses of silver shell ranging from 2.4 to 8.7 nm, achieved by adjusting the incorporation of AgNO 3 and ascorbic acid. The optimized Au@Ag NPs with a 7.3 nm silver shell demonstrated outstanding SERS activity, high sensitivity, and a detection limit of 0.05 μg/mL for TBZ. The R 2 values, representing the goodness of fit, were found to be 0.990 and 0.986 for standard and real TBZ samples, respectively, indicating a strong correlation between the measured signal and the TBZ concentration. The recovery analysis showed a reliable and accurate detection capability (96 to 105%), suggesting good reliability and accuracy of the SERS-based detection using the optimal Au@Ag NPs. Overall, this research highlights the potential of SERS with optimal Au@Ag NPs for rapid and effective monitoring of pesticides in the food industry. Graphical Abstract
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SENSORS AND ACTUATORS B-CHEMICAL
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2026
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IF 8.3
Siqi Wei,Renjie Li,Wenxi Wang,Dan Huang,Xiandeng Hou,Li Wu
A novel ML-assisted SERS platform was developed for meat freshness evaluation. • Core-shell GNU/p-MBA@MIL-101 substrate enabled sensitive and stable SERS sensing. • Embedded p-MBA served as an internal standard and selectively reacted with VAs. • NH 3 , MA, PUT and CAD were quantified with ppb-level detection limits. • CNN analysis achieved 98.5% accuracy for meat freshness classification. Accurate and rapid evaluation of meat freshness remains challenging due to the complexity of spoilage markers and environmental interferences. Herein, a novel machine learning (ML)-assisted SERS platform was developed based on a core-shell GNU/p-MBA@MIL-101 substrate. Gold nanourchins (GNU) modified with p-mercaptobenzoic acid (p-MBA) were coated with MIL-101(Fe), enabling efficient gas capture and Raman signal enhancement. The embedded p-MBA was used as an internal standard (IS) and selectively reacted with volatile amines (VAs), to enable SERS detection with high sensitivity, reproducibility and anti-interference performance. Typical spoilage markers (NH 3 , MA, PUT and CAD) were quantitatively detected with limits of detection down to the ppb level. Convolutional neural networks (CNNs) were trained on SERS spectra collected from meat samples stored under different conditions, achieving a classification accuracy of 98.5%. This ML-assisted SERS strategy provides a reliable and accurate assessment of meat freshness, demonstrating strong potential for intelligent monitoring in food safety and quality control. Download: Download high-res image (119KB) Download: Download full-size image
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MICROCHEMICAL JOURNAL
·
2023
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IF 4.8
Huang Yingying,Xu Jiangtao,Zhang Sihang,Liu Zhichao,Miao Dagang,Jiang Shouxiang
Food safety remains a global concern and there is always demanded to advance methods to ensure that toxic substances and contamination do not pose safety concerns. This study discusses the development of a rapid, low-cost, portable, in situ method for the detection of harmful substances on the surface of fruits and vegetables to ensure safety for human consumption. Gold nanoparticles (Au NPs) are deposited onto quartz fabric by using a magnetron sputtering system. The argon flow rate and sputtering time are both controlled to produce Au NPs of different sizes on the quartz fabric with different gap distances. Scanning electron microscope images, X-ray diffraction spectra, and Raman intensity are used to evaluate the produced substrates. With an average grain size of about 32.35 nm, the Au particles with a thickness of 70 nm deposited onto the quartz fabric (i.e., Qt-70) provide the best surface-enhanced Raman scattering (SERS) performance of 65,639 counts towards a 10 −3 M methylene blue (MB) solution. The results show that the Qt-70 SERS substrate is highly sensitive, reproducible, and stable, and demonstrates good reusability. Images of “hotspots” that form between two Au nanoparticles based on electric field distribution are simulated by using the finite-difference time-domain (FDTD) method to explain for the signal enhancement. In addition, Qt-70 can be used for the direct collection of pesticides, such as Rhodamine B (RhB), Rhodamine 6G (R6G), and Malachite green (MG), from food surfaces. This novel flexible SERS (FSERS) substrate has good potential for the rapid detection of harmful substances on food.
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TALANTA
·
2023
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IF 6.1
Mingming Chen,Bihang Su,Huiying Wu,Yawen Dai,Tianwen Chen,Fengfu Fu,Zhenyu Lin,Yongqiang Dong
T-2 toxin is one of the naturally dangerous food contaminants, which is harmful to people and animals. Because of its strong toxicity and wide distribution, it is vital to develop a rapid and effective method for the detection of T-2 toxin. Herein, an excellent hydrogel surface-enhanced Raman scattering (SERS) chip is constructed for developing a novel SERS sensor to detect T-2 toxin using a portable Raman spectrometer. The SERS chip is prepared by in-situ Ca 2+ -mediated assembly of silver nanoparticles (AgNPs) in PVA solution, followed by a physical crosslinking possess. The assembled AgNPs produces a strong localized surface plasmon resonance (LSPR) at around 532 nm, which enables the high activity of SERS chip under the irradiation of 532 nm laser. Additionally, the unique structure of hydrogel makes the obtained chip show excellent reliability and anti-interference ability in detection. As a result, the developed SERS sensor shows many obvious advantageous including free of complex sample pretreatment (only a simple extraction), fast response (5 min), low limit of detection (0.41 ppb), wide detection range (1–10000 ppb), good recoveries (90.26–101.81 %) and relative standard deviations (2.8–6.7 %). Therefore, this SERS sensor provides a promising choice for rapid scanning and sensitive detection of trace T-2 toxin in complex matrices.
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ACS Applied Materials & Interfaces
·
2023
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IF 9.5
Haoqiang Xie,Yumin Zhang,Zongyu Wu,Zhouzhou Bao,Li Lin,Jian Ye
Locating distinct objects within a thick scattering medium remains a long-standing challenge in the fields of materials science, health, and engineering. Transmission Raman spectroscopy (TRS) with the use of surface-enhanced Raman scattering (SERS) nanoparticles has proven to be an effective approach to detect deep-seated lesions inside thick biological tissues. However, it has not yet been proven to spatially locate deep lesions in three dimensions using optical modalities. Herein, we present the concept of tomographic TRS and report its successful use for accurately locating SERS nanoparticles in elongated rod-like thick tissues. Our work starts with theoretical simulations of Raman photon propagation in tissues. We discovered a linear relationship between the Raman spectral peak ratio and propagation distance of Raman photons in tissues, allowing us to predict the location of lesions tagged by SERS NPs. Based on this, we propose a two-step tomographic TRS strategy, which includes axial scanning and ring scanning. We demonstrate the robustness of our approach using ex vivo thick tissue (4.5 cm in thickness) and locate an embedded SERS phantom lesion, with a ring scanning step of 10–30°. We successfully locate multiple SERS phantom lesions in the ex vivo porcine muscle stack with high accuracy (absolute error of <2 mm). Our method is rapid, efficient, and of low cost compared to current tomographic medical imaging techniques. This work advances Raman techniques for three-dimensional positioning and offers new insights toward practical diagnosis applications.
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FOOD CHEMISTRY
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2023
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IF 8.8
Junjie Qi,Jingkun Li,Yuqi Wan,Yu Li,Fuwei Pi
Antibiotic residues are becoming more and more concern due to the increasingly serious resistance from bacteria to organism. On-site and accurate evaluation on antibiotics is necessary and urgent to effectively solve such public issue. To provide point-of-care-test (POCT) ideas for antibiotic accurate evaluation, a fluorescence (FL)-surface-enhanced Raman scattering (SERS) dual-mode detection of tetracycline antibiotic (TCs) was realized for the first time. Based on the inner filter effect in Ag@NH 2 -MIL-101(Al) nanoprobe, the fluorescence quenching was induced and the SERS signal was swiftly turn on through π-π interaction and hydrogen bonding in the presence of TCs. This FL-SERS dual mode sensor displayed excellent detection limits (FL in ∼10 −3 ppm, SERS in ∼10 −5 ppm), and achieved a reliable detection of TCs in honey with a recovery rate of 84.45%−112.08%. This method combines the advantages of FL and SERS detection, meanwhile, two techniques verified against each other to achieve highly sensitive and specific FL-SERS dual-mode sensor for TCs. We believe that such antibody-or aptamer-independent FL and SERS complementary nanoprobe can be applied to fast, direct and multiple sensing in environment and food hazards.
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Journal of Materials Chemistry B
·
2023
·Vol. 11
·期 40
·9666-9675
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IF 7
Dinghu Zhang,Jie Lin,Yanping Xu,Xiaoxia Wu,Xiawei Xu,Yujiao Xie,Ting Pan,Yiwei He,Jun Luo,Zhewei Zhang,LinYin Fan,Shunxiang Li,Tianxiang Chen,Aiguo Wu,Guoliang Shao
Non-specific adsorption of bioprobes based on surface-enhanced Raman spectroscopy (SERS) technology inevitably endows white blood cells (WBC) in the peripheral blood with Raman signals, which greatly interfere the identification accuracy of circulating tumor cells (CTCs). In this study, an innovative strategy was proposed to effectively identify CTCs by using SERS technology assisted by a receiver operating characteristic (ROC) curve. Firstly, a magnetic Fe3O4–Au complex SERS bioprobe was developed, which could effectively capture the triple negative breast cancer (TNBC) cells and endow the tumor cells with distinct SERS signals. Then, the ROC curve obtained based on the comparison of SERS intensity of TNBC cells and WBC was used to construct a tumor cell identification model. The merit of the model was that the detection sensitivity and specificity could be intelligently switched according to different identification purposes such as accurate diagnosis or preliminary screening of tumor cells. Finally, the difunctional recognition ability of the model for accurate diagnosis and preliminary screening of tumor cells was further validated by using the healthy human blood added with TNBC cells and blood samples of real tumor patients. This novel difunctional identification strategy provides a new perspective for identification of CTCs based on the SERS technology.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2023
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IF 4.4
Huimin Zhou,Anni Zhu,Caiyin Wang,Xiaoyu Guo,Ye Ying,Yiping Wu,Xinling Liu,Feng Wang,Ying Wen,Haifeng Yang
5-Hydroxyindole-3-acetic acid (5-HIAA) is regarded as a biomarker for diagnosis of carcinoid tumors, and it is of great significance to developing a precision assay for monitoring 5-HIAA levels. In this work, gold nanoparticles loading on the surface of MOF-199 (Au NPs/MOF-199) is prepared to propose a surface enhanced Raman scattering (SERS) assay for 5-HIAA. When 4-mercaptopyridine (4-MPy) is used as a SERS probe, on Au NPs/MOF-199, limit of detection (LOD) at 10 −9 mol/L can be achieved. In addition, Au NPs/MOF-199 substrate with good preparation reproducibility shows long-term storage stability at 4 °C. Under optimal condition, the Au NPs/MOF-199-based SERS method is applied to determine 5-HIAA in serum. The concentration linear range is from 10 −9 to 10 −5 mol/L and LOD is of 6.40 × 10 −11 mol/L. Much importantly, Au NPs/MOF-199 substrate exhibits specific response toward 5-HIAA against other metabolites in the serum due to the capturing selectivity from porous MOF-199. The recoveries obtained on spiked human serum samples locate in the span from 94.30% to 106.00% with RSD of 4.01–7.43%. Au NPs/MOF-199-based SERS sensing strategy is a promising avenue for on-field monitoring biomedical species for clinic diagnosis purpose.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2023
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IF 4.4
Yansheng Liu,Zhenle Qin,Xiaobo Jia,Jin Zhou,Hongli Li,Xiaohong Wang,Yating Chen,Junpeng Deng,Zhicheng Jin,Guofu Wang
The global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a great disaster to the economy and human society. Nowadays, SARS-CoV-2 is fading away from people’s memory but it still exists around us. PCR plays an important role in detecting SARS-CoV-2 but it requires a long detecting time, equipped laboratory, and professional operators. In comparison with polymerase chain reaction (PCR), surface-enhanced Raman scattering (SERS) is a promising method for detecting SARS-CoV-2 due to its fast, easily operated, and high-sensitivity properties. In this study, the monolayer Ag nanoparticles (MAgNPs) covered with single-layer graphene (SLG) are applied as a SERS substrate. The angiotensin converting enzyme 2 (ACE2) is selected as a bio-probes that can specifically bind to the SARS-CoV-2 S protein. The SERS-based biosensor is formed by ACE2 functionalized SLG/MAgNPs and the LODs of detecting SARS-CoV-2 S protein in phosphate-buffered saline (PBS) and in pharyngeal swabs solution (PSS) are 0.1 fg mL −1 and 10 fg mL −1 , respectively. This biosensor provides a way of directly detecting SARS-CoV-2 S protein with high sensitivity and specificity. It illustrates a practical potential in the rapid detection of the SARS-CoV-2 virus.
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FOOD CHEMISTRY
·
2023
·
IF 8.8
Xiaorong Zhao,Qiulan Li,Hong Li,Yijie Wang,Feijian Xiao,Dezhi Yang,Qinghai Xia,Yaling Yang
In this work, cerium-doped carbon dots (Ce-CDs) both as a reducing agent and template hybrid gold nanoparticles (AuNPs) with weak oxidase-like (OXD) activity was synthesized for the detection of Hg 2+ and aflatoxin B 1 (AFB 1 ). The AuNPs can catalyze efficiently mercury ion (Hg 2+ ) reduction to the metallic (Hg 0 ) to form Au-Hg amalgam (Au@HgNPs). The obtained Au@HgNPs with strong OXD-like activity oxidize without Raman-active leucomalachite green (LMG) into the Raman-active malachite green (MG) and simultaneously as the SERS substrates by the formed Raman “hot spot” through MG-induced Au@HgNPs aggregation. While AFB 1 was introduced resulting in the SERS intensity decreasing due to Hg 2+ with AFB 1 via carbonyl group to inhibit the aggregation of Au@HgNPs. The work paves a new path for the design of a nanozyme-based SERS protocol for tracing Hg 2+ and AFB 1 residues in foodstuff analysis.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2023
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IF 4.4
Hongyan Xi,Ziqian Shi,Pengfei Wu,Niu Pan,Tingting You,Yukun Gao,Penggang Yin
Antioxidants play an important role in life health and food safety. Herein, an inverse-etching platform based on gold nanorods (AuNRs) and gold nanostars (AuNSs) for high-throughput discrimination of antioxidants was constructed. Under the action of hydrogen peroxide (H 2 O 2 ) and horseradish peroxidase (HRP), 3,3′,5,5′-tetramethylbenzidine (TMB) would be oxidized to TMB + or TMB 2+ . HRP reacts with H 2 O 2 to release oxygen free radicals, which then react with TMB. Au nanomaterials can react with TMB 2+ , at the same time, Au was oxidized into Au (I), leading to the etching of the shape. Antioxidants, with good reduction ability, would prevent the further oxidation of TMB + to TMB 2+ . So the presence of antioxidants will prevent further oxidation while avoiding the etching of Au in the catalytic oxidation process, thereby achieved inverse etching. Distinctive surface enhanced Raman scattering (SERS) fingerprint of five antioxidants were obtained based on the differential ability to scavenge free radicals. Five antioxidants, including ascorbic acid (AA), melatonin (Mel), glutathione (GSH), tea polyphenols (TPP), and uric acid (UA) were successfully distinguished by using linear discriminant analysis (LDA), heat map analysis and hierarchical cluster analysis (HCA). The study exhibits an effective inverse-etching based SERS sensor array for the response of antioxidants, which has great reference value in the field of human disease and food detection.
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