FOOD CHEMISTRY
·
2024
·
IF 8.5
Rui Tan,Mei Zeng,Qiuwen Huang,Na Zhou,Mengjiang Deng,Yuanyuan Li,Xiaojun Luo
The presence of nitrite in food products has generated significant public concern. A simple and rapid dual-mode surface-enhanced Raman spectroscopy (SERS)/colorimetric detection of nitrite is proposed based on a diazo reaction and multifunctional gold nanoparticle-doped covalent organic framework (Au@COF) composite. Under acidic conditions, the reaction between toluidine blue and nitrite yielded a colorless diazo salt, simultaneously attenuating its characteristic absorption peak and Raman signal. The multifunctional Au@COF materials enhanced the Raman signal and ensured good reproducibility. Additionally, the reaction rates improved, and the sensitivity was enhanced due to the excellent adsorption capacity of the COF. The proposed method demonstrated high sensitivity and excellent recovery rates for nitrite detection in food samples. This approach shows potential for precisely detecting nitrite content in real-world food samples by integrating the simplicity of colorimetric analysis with the enhanced sensitivity of SERS.
研究领域:
分析化学
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食品科学
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纳米技术
·
光谱学
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产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2025
·
IF 4.6
Qingyan Han,Hao Zhang,Andrey Kaplan,Shixing Fan,Yazhou Xu,Chengyun Zhang,Wei Gao,Enjie He,Jun Dong
Surface-enhanced Raman scattering (SERS) with ultrahigh sensitivity has garnered significant attention for quantitative analysis and chemically specific detection. However, conventional SERS platforms, typically structured by depositing plasmonic micro/nanoparticles onto rigid substrates, face limitations in further advancement and applications. In this study, we present a novel method to prepare a flexible SERS film substrate composed of graphene overlayer (G) atop a self-assembled array of silver micropopcorns (Ag MPs) and a polymethyl methacrylate (PMMA) membrane. We show that adding an overlayer of graphene improves substantially overall SERS performance. This flexible G/Ag MPs/PMMA film substrate achieves a detection limit as low as 100 picomolar for rhodamine 6G (Rh6G) molecules and identifies mixtures containing Rh6G (10 −11 M) and crystal violet (CV, 10 −6 M) molecules. Furthermore, the flexible SERS structure enables quantitative detection of thiram, achieving a detection limit of 0.005 ppm, well below the allowable limit in food. This study provides a robust SERS platform that advances fundamental research and facilitates the development of practical applications in quantitative analysis, detection, and biological sensing. Combining graphene and Ag MPs on a flexible PMMA substrate offers a versatile and scalable approach to enhancing SERS performance, paving the way for future innovations.
研究领域:
分析化学
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纳米技术
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材料科学
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光学传感
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化学检测
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产品关联
DOI
PubMed
高影响因子
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
·
2024
·
IF 3.8
Luo Xianzhun,Dai Qingshan,Qiu Xia,Wang Dongmei,Li Yongxin
As biomarkers of cancer, the accurate and sensitive detection of microRNAs is of great significance. Therefore, we proposed a surface-enhanced Raman scattering (SERS)/electrochemical (EC) dual-mode nanosensor for sensitively detecting miRNA-141. The nanosensor uses Au@Ag nanowires as a novel SERS/EC sensing platform, which has the advantages of good biocompatibility, fast response, and high sensitivity. The dual-mode nanosensor can not only effectively overcome the problem of insufficient reliability of single signal, but also realize the amplification and stable output of the detection signal, to ensure the reliability and repeatability of miRNA detection. With this sensing strategy, the target miRNA-141 can be detected over a wide linear range (100 fM to 50 nM) (LOD of 18.4 fM for SERS and 16.0 fM for electrochemical methods). In addition, the process shows good selectivity and can distinguish miRNA-141 from other interfering miRNAs. The actual analysis of human serum samples also proves that our strategy has good reliability, repeatability, and has broad application prospects in the field of analysis and detection. Graphical Abstract
研究领域:
生物技术
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纳米技术
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分析化学
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癌症研究
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产品关联
DOI
PubMed
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
·
2024
·
IF 8
Linge Nian,Wenhua Li,Minhui Dai,Chunxia Zhang,Lu Li,Guangrui Zhang,Jianxi Xiao
The precise detection of pathological type I collagen is critical for diagnosing and prognosticating various diseases such as fibrosis and tumors. Surface-enhanced Raman scattering (SERS) is emerging as a promising high-resolution imaging technique, yet the intricate process of covalently modifying antibodies often results in SERS probes with diminished selectivity. We herein for the first time report the development of dual SERS peptide probes, Ag@R1@PCTP (S-P) and Ag@R2@ICTP (S-I), which integrate collagen targeting peptides (CTPs), Raman reporters, and silver nanoparticles (Ag NPs) for specific imaging of pathological type I collagen in connective tissues. The S-P/S-I dual SERS peptide probes displayed distinct peaks at 2154 cm −1 and 2227 cm −1 in the Raman silent region with no overlap, showcasing their capability for multiplex imaging free from cross-interference. The SERS peptide probe S-P is specifically tuned to target pathological collagen, excluding intact collagen, while S-I effectively recognizes type I collagen in both its pathological and healthy states. The S-P/S-I probes have exhibited outstanding effectiveness in identifying pathological type I collagen across various connective tissues and have been successfully applied for imaging this collagen in a variety of cancer tissues. The innovative dual SERS peptide probes offer a highly specific and robust tool for imaging pathological type I collagen in tissues, presenting significant potential for the accurate diagnosis and treatment of a range of collagen-related diseases.
研究领域:
生物医学工程
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分子生物学
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成像科学
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病理学
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材料科学
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产品关联
DOI
高影响因子
JOURNAL OF ALLOYS AND COMPOUNDS
·
2025
·
IF 6.3
Wen Teng,Haipei Xu,Shun Wen,Xiang Yu,Yanrong Yang,Jing Zhang
Organophosphorus pesticides (OPPs) seriously threaten human health and ecosystems due to their environmental persistence, creating an urgent demand for highly efficient and sensitive detection technologies in environmental monitoring. UL-AuAgMSs@β-CD composite substrate was fabricated through the integration of urchin-like Au-Ag microspheres (UL-AuAgMSs) with β-cyclodextrin (β-CD) to overcome three persistent challenges in surface-enhanced Raman scattering (SERS) detection, i.e., low molecular selectivity, substrate instability, and complex matrix interference. Optimizing the three-dimensional branched structure of UL-AuAgMSs through controlled silver nitrate (AgNO 3 ) addition, a dual enhancement becomes available from both electromagnetic effects (nanotip-localized hotspots) and chemical effects (β-CD's molecular recognition capabilities). The composite substrate presented superior performances, a detection limit of 10⁻ 13 M for crystal violet (CV), excellent reproducibility (RSD = 9.10%, n = 13), and long-term stability (73.35% signal retention after 21 days), surpassing conventional single-metal substrates. Its versatility is further demonstrated in detecting methylene blue (MB), methyl orange (MO), the OPP chlorpyrifos (CPF), and the pesticide intermediate 4-aminothiophenol (4-ATP). This study proposes a synergistic strategy combining morphological engineering and molecular recognition. It offers a stable and adaptable SERS platform for rapid trace pollutant monitoring in food safety and complex environments.
研究领域:
环境监测
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分析化学
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纳米技术
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食品安全
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光谱学
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2019
·
IF 2.931
Abid Hussain,Hongbin Pu,Da-Wen Sun
A cysteamine functionalized core shelled nanoparticles (Au@Ag-CysNPs) was presented for simultaneous and rapid detection of sodium thiocyanate (STC) and benzoic acid (BA) preservatives in liquid milk using surface-enhanced Raman spectroscopy (SERS) technique. A spectrum covering 350–2350 cm −1 region was selected to detect STC with concentrations ranging from 0.5 to 10 mg/L and BA with concentrations ranging from 15 to 240 mg/L in milk samples. Characterization of nanoparticles using high-resolution TEM confirmed that the successful synthesis of Au@AgNPs with core (gold) size of 28 nm and shell (silver) thickness of about 5 nm was grafted with 120 μL of 0.1 nM cysteamine hydrochloride. Results showed that Au@Ag-CysNPs could be used to detect STC up to 0.03 mg/L with a limit of quantification (LOQ) of 0.039 mg/L and a coefficient of determination (R 2 ) of 0.9833 in the milk sample. For detecting BA, it could be screened up to 9.8 mg/L with LOQ of 10.2 mg/L and R 2 of 0.9903. The proposed substrate was also highly sensitive and the employed method involved only minor sample pretreatment steps. It is thus hoped that the new substrate could be used in the screening of prohibited chemicals in complex food matrices in future studies.
研究领域:
分析化学
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食品科学
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纳米技术
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光谱学
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DOI
高影响因子
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
·
2014
·Vol. 406
·期 25
·6337-6346
·
IF 3.578
Chen Peng,Wang Zhuyuan,Zong Shenfei,Chen Hui,Zhu Dan,Zhong Yuan,Cui Yiping
p -Aminothiophenol (pATP) functionalized multi-walled carbon nanotubes (MWCNTs) have been demonstrated as an efficient pH sensor for living cells. The proposed sensor employs gold/silver core-shell nanoparticles (Au@Ag NPs) functionalized MWCNTs hybrid structure as the surface-enhanced Raman scattering (SERS) substrate and pATP molecules as the SERS reporters, which possess a pH-dependent SERS performance. By using MWCNTs as the substrate to be in a state of aggregation, the pH sensing range could be extended to pH 3.0∼14.0, which is much wider than that using unaggregated Au@Ag NPs without MWCNTs. Furthermore, the pH-sensitive performance was well retained in living cells with a low cytotoxicity. The developed SERS-active MWCNTs-based nanocomposite is expected to be an efficient intracellular pH sensor for bio-applications.
研究领域:
纳米技术
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生物传感器
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材料科学
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分析化学
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生物医学工程
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产品关联
DOI
PubMed
高影响因子
ANALYTICAL CHEMISTRY
·
2024
·
IF 6.7
Jing Xu,Shu Zhang,Si-heng Luo,Chen-ru Xiong,Minghuai Zhu,Jing Chang,Bo Zou,Bin Ren,Zhong-qun Tian,Guo-kun Liu
Fast and efficient sample pretreatment is the prerequisite for realizing surface-enhanced Raman spectroscopy (SERS) detection of trace targets in complex matrices, which is still a big issue for the practical application of SERS. Recently, we have proposed a highly performed liquid–liquid extraction (LLE)–back extraction (BE) for weak acids/bases extraction in drinking water and beverage samples. However, the performance efficiency decreased drastically on facing matrices like food and biological blood. Based on the total interaction energies among target, interferent, and extractant molecules, solid-phase extraction (SPE) with a higher selectivity was introduced in advance of LLE–BE, which enabled the sensitive (μg L–1 level) and rapid (within 10 min) SERS detection of both koumine (a weak base) and celastrol (a weak acid) in different food and biological samples. Further, the high SERS sensitivity was determined unmanned by Vis-CAD (a machine learning algorithm), instead of the highly demanded expert recognition. The generality of SPE–LLE–BE for various weak acids/bases (2 < pKa < 12), accompanied by the high efficiency, easy operation, and low cost, offers SERS as a powerful on-site and efficient inspection tool in food safety and forensics.
研究领域:
分析化学
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光谱学
·
食品科学
·
司法科学
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机器学习
·
化学分析
✓ 已验证
DOI
高影响因子
Sensors & Diagnostics
·
2023
·Vol. 2
·期 5
·1292-1301
·
IF 0
Yu Lu,Ruihua Fei,Jiahe Zhang,Geng Zhu,Xiufang Mo,Yu Wan,Yan Huang,Qingjiang Sun,Dianhuai Meng,Xiangwei Zhao
The clinical symptoms of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are similar to those of influenza A infection. Therefore, accurate diagnosis of SARS-CoV-2 and influenza A in the early infection stage is essential for appropriate clinical treatment. In this work, a vertical flow assay (VFA) device based on Au@Ag@Au core–shell SERS nanotags and anodic aluminum oxide (AAO) was proposed to diagnose and distinguish between SARS-CoV-2 and influenza A at the same time. Antibodies paired with SARS-CoV-2 and influenza A were immobilized simultaneously on the AAO. In the presence of SARS-CoV-2 or influenza A antigens, sandwich immune-complexes were formed on the AAO and the corresponding SERS signals of nanotags could be detected. The whole detection process took only about 15 minutes, taking comparable or even shorter time than reported POCT antigen assays. The detection limit reached 0.47 pg ml−1 for SARS-CoV-2 nucleocapsid protein (NP) and 0.62 pg ml−1 for influenza A antigen. The clinical feasibility of the proposed VFA device was validated by testing clinical throat swab samples (3 SARS-CoV-2 positive samples and 17 negative samples). Real sample analysis indicated a well-distinguished positive/negative sample group. Conceptually, this VFA device is a potential POCT diagnosis tool for determining if a suspected patient is infected with SARS-CoV-2 or influenza A.
研究领域:
医学诊断
·
分析化学
·
纳米技术
·
公共卫生
✓ 已验证
DOI
SENSORS AND ACTUATORS B-CHEMICAL
·
2024
·
IF 8
Morui Wang,Haoxuan Diao,Cheng Dou,Zhenye Wu,Liguang Ruan,Zhixin Wang,Zhong Wang,Weichun Ye,Jiangong Duan,Yuee Li
This work aims to face the challenge of label-free and quantitative detection for pathogenic microorganisms concerning on food safety and medical diagnosis. Ag NPs@PDMS sponge SERS substrates were developed through the "mold transfer-surface embedding" method for pathogenic microbial detection. The pore structure provided large specific surface area and critical contact sites, which endowed the detection limit of only 1 CFU/mL for E.coli . Importantly, six different microorganisms could be identified using this SERS substrate. The classification models combining three types of data dimension reductions and five types of machine learning algorithms were constructed to achieve the automatic classification of microorganisms. Among these algorithms, the PCA-SVC model held the highest accuracy of 92.17%. Different from labeled SERS, label-free SERS technique is conducive to the discovery of unknown microorganisms in water-environment. Therefore, this SERS substrate is expected for microbial system assessment and microbial safety monitoring, combined with handheld Raman spectrometer and artificial intelligence.
研究领域:
分析化学
·
微生物学
·
生物医学工程
·
机器学习
·
食品安全
·
医学诊断
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产品关联
DOI
高影响因子
Small
·
2018
·Vol. 14
·期 20
·1704433
·
IF 9.598
Yizhi Zhang,Zhuyuan Wang,Lei Wu,Shenfei Zong,Binfeng Yun,Yiping Cui
Isolating and in situ profiling the heterogeneous molecular phenotype of circulating tumor cells are of great significance for clinical cancer diagnosis and personalized therapy. Herein, an on-chip strategy is proposed that combines size-based microfluidic cell isolation with multiple spectrally orthogonal surface-enhanced Raman spectroscopy (SERS) analysis for in situ profiling of cell membrane proteins and identification of cancer subpopulations. With the developed microfluidic chip, tumor cells are sieved from blood on the basis of size discrepancy. To enable multiplex phenotypic analysis, three kinds of spectrally orthogonal SERS aptamer nanovectors are designed, providing individual cells with composite spectral signatures in accordance with surface protein expression. Next, to statistically demultiplex the complex SERS signature and profile the cellular proteomic phenotype, a revised classic least square algorithm is employed to obtain the 3D phenotypic information at single-cell resolution. Combined with categorization algorithm partial least square discriminate analysis, cells from different human breast cancer subtypes can be reliably classified with high sensitivity and selectivity. The results demonstrate that this platform can identify cancer subtypes with the spectral information correlated to the clinically relevant surface receptors, which holds great potential for clinical cancer diagnosis and precision medicine.
研究领域:
生物医学工程
·
癌症研究
·
分析化学
·
微流控技术
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DOI
PubMed
高影响因子
Food Chemistry-X
·
2024
·
IF 6.5
Yun Wu,Meiqi Wang,Ying Gu,Kun Ge
Herein, the miniaturized thermal purge-and-trap (MTPT) device combined with self-calibration colorimetric/surface-enhanced Raman spectroscopy (SERS) dual-model optical sensors were designed for effective analysis of sulfur dioxide (SO 2 ) in wine. The SO 2 can be rapidly separated from wine and enriched by MTPT device, ensuring colorimetric/SERS dual-model optical sensing based on Karl Fischer reaction. The high separation efficiency of miniaturized MTPT device combined with self-calibration of dual-model optical sensors significantly alleviate matrix interference and improve the detection accuracy. The satisfactory linear range of 0.1–200.0 mg/L and 0.1–500.0 mg/L with limit of detection of 0.03 mg/L can be obtained. Finally, the MTPT-colorimetric/SERS method was applied to determine the content of SO 2 in different kinds of wine to verify the practicality. These results provide an ideal strategy in construction of MTPT device combined with self-calibration dual-model optical sensors for quantification of gaseous hazards in complex food samples with high rapidity, anti-interference and accuracy.
研究领域:
食品科学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）