JOURNAL OF FOOD AND DRUG ANALYSIS
·
2022
·
IF 6.157
Wenwen Chen,Qiang Chen,Wei Zhang,De Zhang,Zhi Yu,Ying Song,Xiubing Zhang,Dejiang Ni,Pei Liang
The problem of aflatoxin contamination emerged gradually in the field of food safety. Surface-enhanced Raman spectroscopy (SERS) is an ultra-sensitive and non-destructive spectroscopy technology with extensive application prospects in the detection field. In this paper, with the detection of AFB1 as the target, Au@Ag NPs substrate with uniform morphology and strong SERS effect was prepared. Furthermore, the intermediates formed by hydrogen bonding between AFB1 and melamine facilitate the binding of toxin molecules to the substrate. Moreover, the AFB1-melamine-Au@Ag NPs detection system was established by optimizing the melamine dosage, and the limit of detection can reach 10 −8 mol/L (M). In this method, AFB1 (concentration range of 10 −4 M – 10 −7 M) in tea oil, the Raman signal intensity of AFB1 shows an excellent linear, logarithmic relationship, and the correlation coefficient is 0.9685. Therefore, this work has achieved simple, sensitive, and stable AFB1 detection and has broad application potential in food safety detection.
研究领域:
分析化学
·
食品科学
·
毒理学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
·
2025
·
IF 9.8
Xishun Peng,Yiheng Yuan,Anjiang Lu,Cunwei Wang,Caizhen Zu,Haili Zhang,Zhongchen Bai
Glyphosate (Gly) residues in agricultural products have a serious health risk, so it is urgent to seek a sensitive and convenient method for recognizing Gly residues in food. In this study, we proposed an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) sensor of polyaniline/reduced graphene oxide/Ag/Cu (PANI/RGO/Ag/Cu) film to detect Gly residues. The EC-SERS sensor of PANI/RGO/Ag/Cu film had a large specific surface area, which could increase the binding sites of cu 2+ /Gly clathrates for boosting specifically its SERS signal. Moreover, Ag/Cu nanoparticles on the surface of film could effectively increase the differential pulse voltammetry signal and SERS signal of Gly molecules. The limit of detection of EC-SERS sensor to Gly could reach 1.9 nM. In addition, the EC-SERS sensor we prepared could also sensitively identify Gly residues on fresh fruit peels. The PANI/RGO/Ag/Cu film we proposed in this paper has great potential for selective and accuracy detecting Gly residues in agricultural products.
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
APPLIED SURFACE SCIENCE
·
2025
·
IF 6.9
Xiaoyi Rong,Shaojie Gong,Jinqing You,Lin Geng,Wenzhong Yang,Hui Xu
Surface-enhanced Raman scattering (SERS) stands out as a valuable tool for the rapid and precise detection of trace antibiotics. However, preparing SERS substrates with high sensitivity, homogeneity, and good stability remains a great challenge. In this study, we chemically functionalized graphene oxide (GO) with poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA) through surface-initiated atom transfer radical polymerization (SI-ATRP) technique. Then, GO- g - q PDMAEMA was obtained by quaternization (the quaternized PDMAEMA is denoted as q PDMAEMA). Using a water/oil interface self-assembly approach, we fabricated GO- g - q PDMAEMA/AuNPs nanofilms by interfacial assembly between GO- g - q PDMAEMA in chloroform and AuNPs in water. The nanofilms exhibited remarkable SERS characteristics, including exceptional sensitivity, good homogeneity, reproducibility, and stability. Additionally, two commonly used antibiotics, i.e., sulfamonomethoxine (SMM) and enrofloxacin (ENR) were rapidly and sensitively detected using the prepared GO- g - q PDMAEMA/AuNPs nanofilms as a SERS platform. The developed GO- g - q PDMAEMA/AuNPs nanofilms hold significant promise for food safety monitoring and environmental analysis.
研究领域:
材料科学
·
分析化学
·
环境科学
✓ 已验证
DOI
高影响因子
NANO
·
2017
·
IF 1.025
Xiuhua Li,Jian Lin,Junhong Zhao
A novel composite nanostructure which is made up of TiO 2 three dimensionally ordered macroporous (3DOM) nanostructure and TiO 2 nanorods (NRs) has been successfully synthesized through a combination of colloidal crystal template technology and hydrothermal method, then we achieved its combination with Ag nanoparticles (NPs) via a silver mirror reaction. We studied the SERS (Surface-Enhanced Raman Scattering) performance of the obtained structure, the results show that our samples are very sensitive substrates when being used to detect dye R6G molecules, with a low detection concentration of 10 − 1 1 M. This proves that it is a promising material in the area of analyzing and molecule-level detecting as a kind of novel and low-cost SERS substrate.
研究领域:
材料科学
·
纳米技术
·
光谱学
✓ 已验证
产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Runzi Zhang,Jia Yang,Yongguo Cao,Qianyan Zhang,Chenfeng Xie,Wanyi Xiong,Xiaojun Luo,Yi He
Biomimetic inorganic nanoenzyme is a kind of nanomaterial with long-term stability, easy preparation and low cost, which could instead of natural biological enzyme. Metal-organic framework (MOFs) as effectively nanoenzyme was attracted more attention for the adjustability and large specific surface area. This design is based on the catalase-like catalytic activity of 2D metal–organic frameworks (MOFs) and the high sensitivity of surface enhanced Raman spectroscopy (SERS) biosensors to construct a novel SERS biosensor capable of efficiently detecting mercury (Hg 2+ ). In this study, 2D MOFs nanozyme was instead of 3D structure with more effecient catalytic site, which can catalyze o-Phenylenediamine (OPD) to OPDox with the assistance of H 2 O 2 . Besides, a magnetic composite nanomaterial Fe 3 O 4 @Ag@OPD was prepared as a signal carrier. In the presence of Hg 2+ , T-Hg 2+ -T base pairs were used to connect the two materials to realize Raman signal change. Based on this principle, the SERS sensor can realize the sensitive detection of Hg 2+ , the detection range is 1.0 × 10 -12 ∼ 1.0 × 10 -2 mol‧L -1 , and the detection limit is 1.36 × 10 -13 mol‧L -1 . This method greatly improves the reliability of SERS sensor for detecting the target, and provides a new idea for detecting metal ions in the environment.
研究领域:
生物化学
·
环境科学
·
纳米技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SENSORS
·
2025
·Vol. 25
·期 16
·4912
·
IF 3.5
Fang Peng,Shuanggen Huang,Qi Chen,Ni Tong,Yan Wu
Organophosphate pesticides, fungicides, and neonicotinoid insecticides are frequently employed in the cultivation and production of leafy vegetables. The conventional detection methods for these pesticides rely on chromatographic techniques, which are characterized by good precision and sensitivity. Nevertheless, these methods suffer from drawbacks such as complex sample pretreatment, prolonged detection times, and high costs, hindering the realization of on-site detection. This paper introduces a detection method based on surface-enhanced Raman spectroscopy (SERS) for the quantitative and qualitative analysis of pesticide residues in leafy vegetables. Gold nanoparticles (AuNPs) were meticulously synthesized to serve as the substrate for enhancing Raman signals. The average particle size was approximately 50 nm, and a significant absorption peak appeared at 536 nm. The density functional theory (DFT) with the B3LYP/6-311G was utilized to calculate the theoretical Raman spectra of the pesticides. The characteristic Raman peaks of the pesticides were selected as calibration peaks to establish calibration equations relating the concentration of pesticide residues to the intensity of these calibration peaks. By substituting the intensity of the calibration peak corresponding to the lowest detectable limit in the SERS spectra into the calibration equation, the quantitative detection limit was calculated. The study revealed that the detection limit for phosmet residues in Chinese cabbage could be was below 0.5 mg/kg, with an R2of 0.93363, a standard deviation ranging from 3.87% to 8.56%, and recovery rates between 94.67% and 112.89%. For thiabendazole residues in water spinach, the detection limit could be below 1 mg/kg, with an R2of 0.98291, a standard deviation of between 1.71% and 9.29%, and recovery rates ranging from 87.67% to 107.83%. In the case of acetamiprid residues in pakchoi, the detection limit could also be below 1 mg/kg, with an R2of 0.95332, a standard deviation of between 4.00% and 9.10%, and recovery rates ranging from 90.67% to 113.75%. These findings demonstrate that the SERS-based detection method for the semi-quantitative and qualitative analysis of pesticide residues in leafy vegetables is an effective approach, enabling rapid and reliable detection of pesticide residues in leafy vegetables.
研究领域:
分析化学
·
食品安全
·
纳米技术
·
光谱学
·
农学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Advanced Science
·
2024
·Vol. 11
·期 48
·2409838
·
IF 14.3
Abdur Rahim,Liqi Ma,Muhammad Saleem,Baiju Lyu,Muhammad Shafi,Yuxin You,Mingyue Li,Xiaoyu Zhang,Mei Liu
The field of semiconductor surface-enhanced Raman scattering (SERS) substrates has experienced significant advancements, leading to a wide range of applications in several fields. However, the quest for new ultra-sensitive semiconductor SERS materials is still of utmost importance. In this regard, an efficient and novel substrate, F 4 TCNQ/MoS 2 heterostructure is introduced, assisted by V-shaped aluminum anodic oxide (AAO) nanocavities with different depths. Utilizing the efficient charge transfer of organic/inorganic semiconducting heterostructure and the photoconfinement capability of the nanocavity structure of the AAO nanotemplate, excellent stability, fast sensing, enhanced Raman, and photodegradation activities are achieved. Due to its unique 3D structure, the optimized F 4 TCNQ/MoS 2 /AAO with 1500 nm depth achieves ultra-high sensitivity detection of 9.0×10 −16 M for conventional probe molecules. Furthermore, precise detection of water contaminants is observed for the first time with a V-shaped heterostructure due to combined organic/inorganic features that differ significantly from conventional MoS 2 structures or other metal/inorganic or inorganic/inorganic semiconductors. This research presents a novel and versatile strategy for SERS and demonstrates its diverse potential performance in practical applications.
研究领域:
材料科学
·
光谱学
·
纳米技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF ALLOYS AND COMPOUNDS
·
2021
·
IF 5.316
Yazhou Qin,Yuanzhao Wu,Binjie Wang,Jiye Wang,Weixun Yao
Compared with silver nanoparticles, gold nanoparticles have excellent chemical resistance and biocompatibility, while silver nanoparticles have more excellent local surface plasmon resonance characteristics than gold. In this article, we developed a simple method for growing island-shaped gold nanoparticles on the surface of silver nanowires (NWs), so that the prepared Ag@Au NWs have both the advantages of Au and Ag without their disadvantages. Furthermore, by changing the reaction parameters, we achieved the regulation of the density of island-shaped gold nanoparticles on the Ag NWs surface, thereby optimizing its LSPR performance. We use the prepared Ag@Au NWs as the base material for highly sensitive Surface enhanced Raman scattering (SERS) detection. By using 4-aminothiophenol (4-ATP) as the test molecule to explore the uniformity of the prepared SERS substrate, the detection limit of 4-ATP reached 10 -9 M. And 10 points were randomly selected for testing and the RSD was 7.4%, indicating the Ag@Au NWs SERS substrates had excellent uniformity. Furthermore, we have achieved highly sensitive SERS detection of 5 tropane alkaloids including L -Hyoscyamine, Anisodamine, Scopolamine Hydrobromide, scopolamine methyl bromide and scopolamine butyrate bromide. The limit of detection is 10 -9 M, 10 -10 M, 10 -9 M, 10 -9 M and 10 -10 M. Furthermore, by analyzing the obtained SERS spectra, we realized the differentiation of 5 kinds of tropane alkaloids by their characteristic peaks.
研究领域:
材料科学
·
分析化学
✓ 已验证
产品关联
DOI
高影响因子
CRYSTENGCOMM
·
2022
·Vol. 24
·期 26
·4764-4771
·
IF 3.756
Tingting Fan,Yan Ke,Lijun Zhang,Li Cai,Zhongbo Li
Large-area three-dimensional (3D) well-ordered Co(OH)2 nanoflower array films decorated with Ag nanoparticles (Ag NPs) with a novel structure were designed as sensitive SERS substrates for trace detection of pesticides. Co(OH)2 nanoflowers were electrodeposited on the surface of molded polyacrylonitrile (PAN) films with ordered nanopillar arrays and then Ag NPs were sputtered onto of the surface of each Co(OH)2 nanoflower. The SERS performance of the as-prepared films can be optimized by tuning the Ag-sputtering duration and the morphology of the Co(OH)2 nanoflower arrays. Owing to the formation of high-density SERS “hotspots” created in the nanogaps between the adjacent Ag NPs located on the same and neighbouring Co(OH)2 nanosheets, the optimized substrates show SERS activity for probe molecules. As a result, 10−11 M rhodamine 6G and 10−9 M 4-aminothiophenol can be SERS recognized, respectively. To verify their practical application, the optimized SERS substrates were employed for trace detection of thiram (a type of pesticide), and 10−9 M thiram can be recognized, showing great potential in pesticide detection.
研究领域:
材料科学
·
分析化学
✓ 已验证
产品关联
DOI
高影响因子
MICROCHEMICAL JOURNAL
·
2021
·
IF 4.821
Ling Yao,Lei Ouyang,Jiping Lv,Pei Dai,Lihua Zhu
There is an increasing demand for rapid and sensitive detection of hydrophobic contaminants in foods. A rapid and sensitive surface enhanced Raman scattering (SERS) detection method was developed for this purpose, based on the surface modification of nano-Ag aggregates, which had rich hot spots and controllable hydrophobicity. Cationic surfactants with different carbon chain lengths were employed to modify the aggregation of Ag nanoparticles. The adsorption of cationic surfactants on nano-Ag aggregates increased the hydrophobicity of the surface of the nano-Ag aggregates as the SERS substrate. By changing the carbon chain length of the surfactant, the hydrophobicity of the SERS substrate was able to be tuned to match with the hydrophobicity of the contaminants to be detected. Different hydrophobic contaminants such as Auramine O, Sudan I and Sudan III could be quantitatively detected, with a detection limit as low as 6.1 × 10 −8 , 7.5 × 10 −9 , 2.1 × 10 −9 mol L −1 , respectively. Compared with the traditional inorganic salt aggregation method which was unable to meet the requirements of direct quantitative detection in the sample matrices, the developed method was confirmed to have the advantages of low detection limit, good reproducibility (relative standard deviation (RSD) is less 7.6%), short operation time (about 1 min), and no need of any complicate pretreatment for sample preparation.
研究领域:
分析化学
·
食品安全
✓ 已验证
产品关联
DOI
高影响因子
BIOSENSORS & BIOELECTRONICS
·
2019
·
IF 9.518
Huili Shao,Han Lin,Zhiyong Guo,Jing Lu,Yaru Jia,Meng Ye,Fengmei Su,Lingmei Niu,Weijun Kang,Sui Wang,Yufang Hu,Youju Huang
MicroRNAs are widely used as tumor markers for cancer diagnosis and prognosis. Herein, a multiple signal amplification sandwich-type SERS biosensor for femtomolar detection of miRNA is reported. The signal unit consisted of giant Au vesicles, DNA sequences and deposited silver nanoparticles . The giant Au vesicles provided large-volume hot spots because of sharp tips and abundant hotspot gaps, thus enhancing the electromagnetic intensity for the SERS performance. Further silver stain would easily lead to second-stage amplification of Raman signal. In addition, more SERS signal molecules R6G adsorbed on the signal unit with the aid of HCR and the controlled nanogaps between adjacent AgNPs, brought about the third-stage amplification. The capture unit, prepared by immobilizing the capture probe (CP) on the Fe 3 O 4 @AuNPs, could easily capture target miRNA and greatly simplify the separation step to improve reproducibility. The higher concentration of target miRNA definitely formed more sandwich-type structures with combination of capture unit and signal unit, resulting in multiple amplification of SERS signals. The proposed multiple signal amplification sandwich-type SERS biosensor could detect miRNA-141 at the femtomolar level with a low detection limit of 0.03 fM. Meanwhile, it exhibited high selectivity and accuracy, even for practical analysis in human serum. Therefore, the designed multiple signal amplification sandwich-type SERS biosensor would be a very promising alternative tool for the detection of miRNA and analogs in the field of biomedical diagnosis.
研究领域:
生物医学诊断
·
分子生物学
·
纳米技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Journal of Innovative Optical Health Sciences
·
2024
·
IF 2.3
Jiarui Wang,Shiyan Jiang,Jiaxin Shi,Jing Wang,Shengrong Du,Zufang Huang
Male infertility affects 10–15% of couples globally, with azoospermia — complete absence of sperm — accounting for 15% of cases. Traditional diagnostic methods for azoospermia are subjective and variable. This study presents a novel, noninvasive, and accurate diagnostic method using surface-enhanced Raman spectroscopy (SERS) combined with machine learning to analyze seminal plasma exosomes. Semen samples from healthy controls ( n = 3 2 ) and azoospermic patients ( n = 2 2 ) were collected, and their exosomal SERS spectra were obtained. Machine learning algorithms were employed to distinguish between the SERS profiles of healthy and azoospermic samples, achieving an impressive sensitivity of 99.61% and a specificity of 99.58%, thereby highlighting significant spectral differences. This integrated SERS and machine learning approach offers a sensitive, label-free, and objective diagnostic tool for early detection and monitoring of azoospermia, potentially enhancing clinical outcomes and patient management.
研究领域:
生殖医学
·
生物医学工程
·
分析化学
·
医疗健康中的机器学习
✓ 已验证
DOI
高影响因子
危险品化学品经营许可证（带存储）