NEW JOURNAL OF CHEMISTRY
·
2022
·Vol. 46
·期 15
·7070-7077
·
IF 3.925
Zheng Lu,Wenxian Wei,Jingjing Yang,Qin Xu,Xiao-Ya Hu
A novel Ag triangle nanoparticles/TiO2 nanorod array (AgNTs/TNA) heterostructure was designed as a surface-enhanced Raman scattering (SERS) active substrate for the sensitive detection of Rhodamine 6G (R6G), Crystal Violet (CV), Malachite Green (MG) and Thiram in food samples. The heterostructure was constructed by simply stacking AgNTs and hydrothermally prepared rutile TNA together. On the surface of the heterostructure, the intensity of the Raman scattering intensity was about two times stronger compared with that on the AgNT substrate, using the R6G molecule as a probe. The AgNTs/TNA heterostructure could detect the SERS signal of R6G down to 10−10 M, showing excellent SERS performance. This platform has been successfully applied for the detection of CV and MG residues in crayfish. When irradiated with ultraviolet light, the SERS substrates can be cleaned and reused. This work demonstrated that the AgNTs/TNA metal–semiconductor heterostructure with high sensitivity, reproducibility and recyclability could provide an alternative reliable platform for food additive analysis.
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ANALYTICAL CHEMISTRY
·
2023
·
IF 7.4
Xuefei Zhao,Yueliang Wang,Yuanyuan Yao,Lifen Chen,Bingyong Lin,Wenhan Zheng,Yanbo Zeng,Lei Li,Yuanbin She,Longhua Guo
Surface-enhanced Raman scattering (SERS) with the advantages of high sensitivity, nondestructive analysis, and a unique fingerprint effect shows great potential in point-of-care testing (POCT). However, SERS faces challenges in rapidly constructing a substrate with high repeatability, homogeneity, and sensitivity, which are the key factors that restrict its practical applications. In this study, we propose a one-step chemical printing strategy for synthesizing a three-dimensional (3D) plasmon-coupled silver nanocoral (AgNC) substrate (only need about 5 min) without any pretreatments and complex instruments. The galvanic replacement between AgNO3 and Cu sheets will provide both Ag0 for the formation of silver nanostructures and Cu2+ for the polymerization of fish sperm DNA (FSDNA). The protection of AgNCs is facilitated by the crosslinked FSDNA, which can improve the stability of the substrate and promote the control of its coral-like morphology. The obtained substrate displays excellent capacity of signal enhancement due to the 3D plasmon coupling both between nanocoral tentacles and between nanocorals and Cu sheets as well. Therefore, the AgNC substrates display high activity (enhancement factor = 1.96 × 108) and uniformity (RSD < 6%). Food colorants have been widely used in various foods to improve their color, but the inevitable toxicity of colorants seriously threatens food safety. Therefore, the proposed AgNC substrates were used to directly quantify three kinds of weak-affinity food colorant molecules including Brilliant Blue, Allura Red, and Sunset Yellow assisted by the capture by cysteamine hydrochloride (CA), showing the detection limits (S/N = 3) of 0.053, 0.087, and 0.089 ppm, respectively. The SERS method has been further applied in the detection of the three kinds of food colorants in both complex food samples and urine with recoveries of 91–119%. The satisfactory detection results suggest that the facile preparation strategy of AgNC substrates will be widely used in SERS-based POCT to promote the development of food safety and on-site healthcare.
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MICROCHIMICA ACTA
·
2023
·Vol. 190
·期 5
·1-10
·
IF 5.7
Teng Yuanjie,Li Xin,Chen Yingxin,Xu Pei,Pan Zaifa,Shao Kang,Sun Nan
The SERS intensity of analytes is primarily influenced by the density and distribution of hotspots, which are often difficult to manipulate or regulate. In this study, cucurbit[8]uril (CB[8]), a kind of rigid macrocyclic molecule, was introduced to achieve ~ 1-nm nanogap between gold nanoparticles to increase the density of SERS hotspots. Three kinds of estrogens (estrone (E1), bisphenol A (BPA), and hexestrol (DES)) which are molecules with weak SERS signals were targeted in the hotspots by CB[8] to further improve the sensitivity and selectivity of SERS. It was demonstrated that CB[8] can link gold nanoparticles together through carbonyl groups. In addition, the host–guest interaction of CB[8] and estrogens was proved from the nuclear magnetic resonance hydrogen and infrared spectra. In the presence of CB[8], the SERS intensities of E1, BPA, and DES were increased to 19-fold, 74-fold, and 4-fold, respectively, and the LOD is 3.75 µM, 1.19 µM, and 8.26 µM, respectively. Furthermore, the proposed SERS method was applied to actual milk sample analysis with recoveries of E1 (85.0 ~ 112.8%), BPA (83.0 ~ 103.7%), and DES (62.6 ~ 132.0%). It is expected that the proposed signal enlarging strategy can be applied to other analytes after further development. Graphical Abstract
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VIBRATIONAL SPECTROSCOPY
·
2021
·
IF 2.507
Yuqian Liu,Lei Lei,Yeyu Wu,Yuyun Chen,Jun Yan,Weiwei Zhu,Xuecai Tan,Qi Wang
The quantitative determination of malachite green (MG) is of great importance in aquatic product safety. Although it has been testifying that sea urchin-like gold nanoparticles (SGNPs) have good enhancement effect, the practical application remains challenging for surface-enhanced Raman spectroscopy (SERS) due to poor stability. Here, sea urchin-like Au@SiO 2 nanoparticles (SG@SiO 2 NPs) is designed and synthesized through a controllable and surfactant-free hydrothermal method to improve its stability. The morphology of SG@SiO 2 NPs and the SiO 2 shell thickness were adjusted to obtain good SERS performance. The SERS signal intensity was linear for MG, crystal violet (CV) and methylene blue (MB) at 1619 cm −1 , 1623 cm −1 and 1627 cm −1 over the concentration range of 10 −5 -10 −9 M, 10 −5 -10 −9 M and 10 −5 -10 −8 M, respectively. The substrate was easily used for MG detection with limit of detection (LOD) as low as 1.5 × 10 −9 M. The recovery of MG added to several tilapia fillets samples at different concentrations ranged from 90 % to 110 %. Results indicated that SERS substrate can be used for the determination of trace amounts of MG in tilapia and demonstrated the potential of SG@SiO 2 NPs SERS substrate in food analysis fields.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2021
·
IF 7.46
Ying Zhang,Qian Liu,Mengting Liu,Xueni Zhang,Xiaoya Li,Lihui Dai,Meng Meng,Dingbin Liu,Yongmei Yin,Rimo Xi
The microenvironment of lysosomes plays an important role in various functions within cells. Abnormal pH changes in lysosomes account for multiple diseases including tumors. Acid-responsive nanomaterials with reconfigurable structures and properties have garnered significant interests. Owing to the potential in biosensing, controlled release and nanomachinery, DNA based pH-responsiveness has been widely pursued. Herein, we designed an AuNPs-i-motifs based SERS probe to monitor the pH dynamics of lysosomal maturation in different cells. Taking advantages of biocompatibility and structural flexibility of DNA, unique optical and plasmonic properties of gold nanoparticles , excellent stability and enhanced sensitivity of background-free Raman reporter, the designed SERS probe could indicate the pH variation dynamically in lysosomes. What is more valuable is that 4-mercaptobenzonitrile is not only used as a Raman reporter to provide sensitive Raman signal for pH sensing, but also used as a sealing agent allowing for controllable aggregation, to improve the stability and accuracy of the sensor. With this versatile design, the sensor was prepared simply and feasibly and a tedious trial was avoided. It provides a feasible tool for understanding the relationship of lysosomal pH with fundamental cellular functions and mechanism of diseases.
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Nanomaterials
·
2022
·Vol. 12
·期 14
·2394
·
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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SENSORS AND ACTUATORS B-CHEMICAL
·
2026
·
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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ANALYTICAL AND BIOANALYTICAL CHEMISTRY
·
2023
·
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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MICROCHEMICAL JOURNAL
·
2023
·
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
·
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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FOOD CHEMISTRY
·
2023
·
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
·
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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