MICROCHIMICA ACTA
·
2023
·Vol. 190
·期 7
·1-9
·
IF 5.7
Wang Wenxi,Ruan Shuyan,Su Zhixiong,Xu Peipei,Chen Yujia,Lin Zheng,Chen Jingbo,Lu Yudong
A novel S-CNF-based nanocomposite was created using sulfonated cellulose nanofiber (S-CNF) to enable the detection of NADH in serum by surface-enhanced Raman spectroscopy (SERS). The numerous hydroxyl and sulfonic acid groups on the S-CNF surface absorbed silver ions and converted them to silver seeds, which formed the load fulcrum. After adding a reducing agent, silver nanoparticles (Ag NPs) were firmly adhered to the S-CNF surface to form stable 1D “hot spots.” The S-CNF-Ag NP substrate demonstrated outstanding SERS performance, including good uniformity with an RSD of 6.88% and an enhancement factor (EF) of 1.23 × 10 7 . Owing to the anionic charge repulsion effect, the S-CNF-Ag NP substrate still maintains remarkable dispersion stability after 12 months of preservation. Finally, S-CNF-Ag NPs’ surface was modified with 4-mercaptophenol (4-MP), a special redox Raman signal molecule, to detect reduced nicotinamide adenine dinucleotide (NADH). The results showed that the detection limit (LOD) of NADH was 0.75 μM; a good linear relationship ( R 2 = 0.993) was established in the concentration range 10 −6 – 10 −2 M. The SERS nanoprobe enabled rapid detection of NADH in human serum without any complicated sample pretreatment and provides a new potential to detect biomarkers. Graphical
研究领域:
分析化学
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纳米技术
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生物医学工程
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生物传感器
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DOI
高影响因子
JOURNAL OF SOLID STATE ELECTROCHEMISTRY
·
2020
·Vol. 25
·期 2
·683-688
·
IF 2.646
Yu Qizhi,Kong Xiangfa,Chen Chaoshu,Kang Caiyan,Meng Mianwu,Huang Siyu
An Ag nanoparticles (NPs) layer was synthesized on Ag sheet by alloying/electrochemical dealloying method: X-ray diffraction confirmed that the new Ag phase appeared after removing Ga from Ag-Ga alloy, and scanning electron microscopy examination showed that the prepared Ag layer had a NPS structure. The fine microstructure of silver resulted in significant SERS enhancement effect, while the NPs layer was used as the SERS substrate: when the prepared NPs layer was used as a SERS substrate to detect p-phenylenediamine (PPD), it exhibited a strong SERS peak at 1590 cm −1 . The result revealed that the intensity of SERS peaks was linear to the logarithm of PPD concentration in the range from 10 −16 mol L −1 to 10 −12 mol L −1 and the detection limit was 1.0 × 10 −17 mol L −1 .
研究领域:
分析化学
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纳米材料科学
·
光谱学
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DOI
高影响因子
MICROCHIMICA ACTA
·
2025
·Vol. 192
·期 3
·1-10
·
IF 5.3
Han Hongyu,Huang Yiqun,Miao Junjian,Lai Keqiang
Surface-enhanced Raman spectroscopy (SERS) was combined with stoichiometric analysis to synthesize a AuNPs@MIL-100 (Fe) SERS substrate. This high-performance, and low-cost metal–organic framework-based SERS nano sensor is capable of detecting malachite green (MG) residues in fish. The minimum detectable concentration of MG in standard solutions is 0.1 μg/L, while in fish samples, the detection range spanned from 0.003–0.088 μg/kg. The partial least squares regression (PLSR) and support vector machine regression (SVR) were applied to model the SERS data, enhancing both the precision and reliability of the detection. The results show that compared with the traditional linear regression and PLSR models, the prediction accuracy of the SVR model is an improvement with higher stability. MG standard solutions and three fish samples can be analysed directly or after simple extraction. This method can be used to detect trace harmful substances in different aquatic products. Graphical
研究领域:
食品安全
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分析化学
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环境科学
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产品关联
DOI
PubMed
高影响因子
SENSORS
·
2017
·Vol. 17
·期 3
·530
·
IF 2.677
Ru-Jia Yu,Jia-Jia Sun,Heng Song,Jing-Zhi Tian,Da-Wei Li,Yi-Tao Long
Real-time monitoring of chemical reactions is still challenging as well as important to study reaction mechanisms and reaction kinetics. Herein, we demonstrated the real-time monitoring of o-phenylenediamine (OPD) oxidation on the surface of gold nanoparticles by surface-enhanced Raman spectroscopy (SERS). The oxidation mechanism and the reaction kinetics were investigated on the basis of the SERS spectrum variation and the related density functionalized theory calculation. It was shown that the oxidation of OPD in the presence of copper ions was a two-step process of the deprotonation of the amino group on the aromatic rings and the rearrangement of the electron cloud to a π-conjugated system, which may open a new door to comprehensively understand the reaction process.Keywords:surface-enhanced Raman spectroscopy;oxidation of o-phenylenediamine;real-time monitoring
研究领域:
化学动力学
·
理论计算
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF RAMAN SPECTROSCOPY
·
2020
·Vol. 51
·期 4
·642-648
·
IF 2
Wei Li,Xiaozhou Li,Tianyue Yang,Xingjia Guo,Youtao Song
An immunochromatographic assay (ICA) based on surface-enhanced Raman scattering (SERS) method was developed for the detection of morphine in this study. Indirect competitive immunoadsorption was adopted in the ICA due to the small molecular weight of morphine. Antibody modified gold nanoparticles in the ICA were labeled with Raman reporters and were used as the SERS enhancement substrate. By measuring the feature peaks of Raman reporter MBA at 1,078 cm −1 , a quantitative estimation of morphine can be obtained. The limit of detection of this ICA-SERS method was 2.4 × 10 −4 ng/ml for morphine, which was four orders of magnitude lower than the visual method. This study demonstrated that the proposed ICA-SERS method is a good candidate for the rapid and accurate detection of illicit drugs in saliva. All the analyses in this paper were carried out in a Microsoft (MS) Excel platform using embedded R functions through Excel BERT add-in.
研究领域:
分析化学
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毒理学
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2023
·
IF 4.4
Quanhong Ou,Biao Tang,Liqin Jiang,Mingcheng Han,Weiye Yang,Junqi Tang,Gang Liu
Carbosulfan gets easily decomposed into carbofuran and 3-Hydroxy carbofuran in vegetables and forms harmful residues. To detect the residues of carbosulfan in vegetables (for example, cowpeas), a super-sensitive method of surface-enhanced Raman spectroscopy (SERS) was used in this work. Silver sol was prepared as the SERS substrate. To solve the adsorption problem of carbosulfan on Ag nanoparticles, 2, 6-dichloroquinone-4-chlorimide (chromogenic agent), and sodium hydroxide were added in carbosulfan to generate a complex, which was then mixed with the silver sol in the best proportion to examine SERS spectra. According to density functional theory calculations, the spectral peak positions of carbosulfan were determined. The optimal mixing ratio of the complex and the silver sol to obtain the optimal SERS spectrum and the detection limit of carbosulfan were investigated. The ultra-sensitive detection of carbosulfan residues (8.7 × 10 -11 g/L) in cowpeas was realized. The results of this work indicate that SERS is a promising technique for detecting single-molecule pesticide residues in vegetables.
研究领域:
分析化学
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食品科学
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环境科学
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产品关联
DOI
PubMed
高影响因子
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
·
2017
·
IF 2.303
Cai-Xia Shi,Zeng-Ping Chen,Yao Chen,Qing Liu,Ru-Qin Yu
In this contribution, an attempt was made to quantify dopamine (DA) in complex biological samples (i.e., plasma and urine) using surface-enhanced Raman spectroscopy. Silver nanoparticles modified with iron-nitrilotriacetic acid (DA-selective probe) and 4-mercaptobenzoic acid (internal standard) were used as enhancing substrate. The performance of different calibration models for the quantification of DA in plasma and urine samples spiked with DA was evaluated and compared. The calibration models investigated were univariate ratiometric model based on the intensity ratio between the characteristic SERS peaks of DA and 4-mercaptobenzoic acid, PLS models built on the raw, standardized or pre-processed SERS measurements, and multiplicative effects model for surface-enhanced Raman spectroscopy (MEM SERS ). Experimental results showed that among the models considered in this contribution, only MEM SERS achieved quite accurate and precise concentration predictions for DA in the spiked plasma and urine samples with recovery rates varying within the range of 91.9–112%, surprisingly better than the corresponding values of the quantitative results obtained by LC-MS/MS. This work provided further evidence of the effectiveness of MEM SERS in solving the problem of poor accuracy of quantitative SERS assays.
研究领域:
分析化学
·
生物医学
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DOI
高影响因子
Laser & Photonics Reviews
·
2024
·
IF 9.8
Min Fan,Jingbo Chen,Xiaomeng Zheng,Luyun Xu,Jianqin Ye,Xueliang Lin,Kien Voon Kong,Duo Lin,Yudong Lu,Shangyuan Feng
The emergence of “precision medicine” marks a notable shift in cancer treatment, moving from a tumor type–oriented approach to a more targeted, gene-oriented approach. Detecting low-abundance mutant genes in blood is challenging but crucial for personalized treatment plans. Herein, a novel platform combining catalytic hairpin self-assembly (CHA)-mediated self-calibrating surface-enhanced Raman spectroscopy (SERS) with a high-throughput Raman system (CCSPS) was designed. This platform enables ultrasensitive and rapid genotype analysis of gene mutations. The development of CCSPS specifically targets EGFR mutations, which serve as crucial therapeutic targets for precision therapy in lung cancer. This system shows excellent sensitivity and selectivity, capable of detecting multiple EGFR mutations ( Del-19 , L858R , and T790M ) with a detection limit as low as attomolar levels. Additionally, precise genotyping analysis was successfully conducted on 42 clinical samples using the CCSPS, yielding results consistent with those obtained through next-generation sequencing. These results underscore the efficacy of the CCSPS in noninvasively identifying circulating tumor DNA (ctDNA) mutations, facilitating immediate therapeutic decision making at the bedside. In summary, the CCSPS is a fast, accurate, versatile, and compact testing system capable of precisely screening individuals who stand to benefit from targeted therapy, thus promoting personalized and precise healthcare.
研究领域:
医学
·
分子生物学
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2025
·
IF 4.6
Haiqian Xia,Lingzi Xiong,Ruoyu Huang,Ning Liu,Muhammad Muhammad,Jingfang Hong,Qing Huang
Breast cancer remains a global health challenge, with an increasing number of cases necessitating innovative approaches to streamline patient management prior to treatment. In this study, we present a comprehensive aptamer-involved surface-enhanced Raman spectroscopy (aptamer-SERS)-based protocol specifically designed for large-scale clinical screening of the circulating protein MUC1 overexpressed in the majority of breast cancer cases. Central to our approach was a “sandwich” assay, where MUC1 was anchored between aptamer-functionalized bimetallic core-shell nanoparticles (NPs) and magnetic nanobeads. The biosensor was applied to monitor MUC1 in serum samples through SERS signals from the reporter molecule 4-ATP, exhibiting a strong linear correlation across a wide dynamic range and the lower the limit of detection (LOD) of 2.96 fg/mL. To support clinical decision-making, the protocol was integrated with a machine learning (ML)model for the classification of SERS signal patterns, demonstrating performance metrics of 96% accuracy and 93.7% specificity when applied to diverse serum samples. This integration enabled robust, non-invasive preclinical screening that informs therapeutic regulation and patient monitoring long before clinical symptoms present. By establishing a scalable framework for continuous monitoring of MUC1 levels across large populations, our study offered a forward-thinking tool, namely, dual-aptamer-SERS biosensor, that may optimize individualized treatment planning and improve overall clinical management strategies.
研究领域:
生物医学工程
·
肿瘤学
·
分析化学
·
纳米技术
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产品关联
DOI
PubMed
高影响因子
SENSORS
·
2019
·Vol. 19
·期 3
·506
·
IF 3.031
Shizhuang Weng,Wenxiu Zhu,Ronglu Dong,Ling Zheng,Fang Wang
Pesticide residue in paddy water is one of the main factors affecting the quality and safety of rice, however, the negative effect of this residue can be effectively prevented and reduced through early detection. This study developed a rapid detection method for fonofos, phosmet, and sulfoxaflor in paddy water through chemometric methods and surface-enhanced Raman spectroscopy (SERS). Residue from paddy water samples was directly used for SERS measurement. The obtained spectra from the SERS can detect 0.5 mg/L fonofos, 0.25 mg/L phosmet, and 1 mg/L sulfoxaflor through the appearance of major characteristic peaks. Then, we used chemometric methods to develop models for the intelligent analysis of pesticides, alongside the SERS spectra. The classification models developed by K-nearest neighbor identified all of the samples, with an accuracy of 100%. For the quantitative analysis, the partial least squares regression models obtained the best predicted performance for fonofos and sulfoxaflor, and the support vector machine model provided optimal results, with a root-mean-square error of validation of 0.207 and a coefficient of determination of validation of 0.99952, for phosmet. Experiments for actual contaminated samples also showed that the above models predicted the pesticide residue values with high accuracy. Overall, using SERS with chemometric methods provided a simple and convenient approach for the detection of pesticide residues in paddy water.Keywords:pesticides;SERS;paddy water;rapid detection
研究领域:
分析化学
·
环境科学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF ALLOYS AND COMPOUNDS
·
2025
·
IF 6.3
Tingting Hu,Xiaoyu Han,Haimei Zeng,Jihong Zhang,Jun Xie,Jianjun Han
Photocatalytic compound decomposition can be an effective protocol for the prominent and urgent solving of the environmental pollution and energy shortage problems. In-situ monitoring of the substance concentrations change during the process is of importance for understanding the decomposition process and final effects. In present research, a surface enhanced Raman spectroscopy (SERS) fiber probe based photocatalyst decomposition monitoring method is proposed. Ag nanoparticles and Ag 3 PO 4 microcube composites were synthesized by ion exchange and subsequent ion reduction method, and then they were coated on silica fiber end-tip for probe fabrication. The microstructures, elements distribution, and morphologies analysis confirm the formation of dense Ag nanoparticles with 30 nm diameter on 1 μm edge length Ag 3 PO 4 cubes. The localized surface plasmon resonance (LSPR) induced absorption peak of Ag nanoparticles is found at 318 nm, along with the band-gap absorption of Ag 3 PO 4 cubes. The Ag nanoparticles and Ag 3 PO 4 composites are homogeneously distributed on the fiber end-tip surface. The fiber probes show the lowest detection limit of 10 −14 M using crystal violet analyte, and as high as 5.3 × 10 11 calculated enhancement factor, due to the strong LSPR induced electrical field from the densely distributed Ag nanoparticles on Ag 3 PO 4 microcubes surface. Furthermore, the linear relationship between analyte concentrations and SERS intensities indicates a potential for quantitative analysis. The analytes crystal violet and 4-aminothiophenol can be photodegraded under UV and visible light irradiation by Ag 3 PO 4 . The Raman spectra of crystal violet and 4-aminothiophenol intensities decrease with longer irradiation durations, indicating the decomposition of organic compounds. The fiber probes also present repeatable using within several cycles. The research provides a potential method for photocatalyst decomposition monitoring.
研究领域:
环境科学
·
纳米技术
·
光学传感
·
分析化学
·
光催化
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2022
·
IF 4.831
Shengjun Wang,Qian Yu,Jiaqi Guo,Changquan Yuan,Xianming Kong
Polycyclic aromatic hydrocarbons are a kind of persistent organic pollutants, which bring harmful effects to the ecological environment and human health. Therefore, it is critical to identify PAHs. In this study, we developed a highly efficient device for on-site identification of pyrene in edible oil using high performance plasmonic thin layer chromatography (PTLC) and dynamic surface-enhanced Raman spectroscopy (DSERS). PAHs in the mixture sample were efficiently separated on the PTLC plate and visualized under UV light, in which the plasmonic feature of the stationary phase could enhance the fluorescence of PAH. Then DSERS measurement was developed on a portable Raman spectrometer. The smaller size of Au NPs in the stationary phase could provide a lower theoretical plate height and provide higher separation efficiency. The sensitivity of the PTLC-DSERS method is down to 0.1 ppb, that nearly 4 orders of magnitude higher than current TLC-SERS method. The results indicate that this PTLC-DSERS method has the potential for on-site and sensitive identification of pyrene in the mixture.
研究领域:
环境科学
·
分析化学
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DOI
高影响因子
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