Analytical Methods
·
2024
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IF 2.7
Lian Xia,Can Yuan,Tianqiang He,Jiaxin Cui
Facile and sensitive determination of plant growth regulators (PGRs) in food samples is crucial but still poses a significant challenge. In this study, to enhance the sensitivity of the HPLC-DAD method for PGR detection, a dispersive solid phase extraction (d-SPE) method using zeolitic imidazolate framework-8 (ZIF-8) as the highly effective adsorbent is developed. ZIF-8 nanoparticles are formed through the coordination of Zn2+ with 2-methylimidazole. Due to its high porosity, large surface area, abundant π electronics and nitrogen electronics, ZIF-8 exhibits a strong affinity to PGRs due to the synergistic effects of π–π interaction, van der Waals force, H-bond, and surface effect. Under the optimal d-SPE conditions, the sensitivity of the method is significantly enhanced with outstanding performances, including a wide range of linearity (2.0–200 ng g−1) with high correlation coefficients (R ≥ 0.9989), low limits of detection (LODs, 0.9–8.0 ng g−1 for all PGRs), satisfactory precision (intra-day RSDs ≤ 3.3%, inter-day RSDs ≤ 4.2%), and high accuracy (recovery: 86.6–101.5%). The developed method was successfully applied to quantitatively detect 9 PGRs in fruit samples, yielding satisfactory results. This d-SPE-HPLC-DAD method, characterized by high sensitivity, simplicity, efficiency, ease of practice and cost-effectiveness for PGR detection, shows potential for detecting PGRs in other complex samples and provides a strategy for designing target-affinity adsorbents.
研究领域:
分析化学
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食品科学
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产品关联
DOI
PubMed
高影响因子
Food Chemistry-X
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2024
·
IF 6.5
Lijun Wei,Mengdie Cai,Bixiao Zhou,Ping Yuan,Guowen Zhang,Xianglei Cheng
Thiram (THI) and asomate (ASO) are frequently detected agrochemicals in food samples due to widespread use as fungicides. However, their detection suffers from matrix interference, or the necessity of derivatization before measurement. Integrating HPLC with a post-column carbon dots (CDs)–enhanced chemiluminescence (CL) system makes it possible to simultaneously separate and selectively detect ASO and THI in fruit samples free of derivatization and deep purification. The studies on mechanisms demonstrated that CD intermediates of anionic radical were responsible for the remarkable CL enhancement of ASO or THI. The CL intensity is directly proportional to the fungicide concentration, with the ranges of linearity for ASO and THI being 5–250 μg·L −1 ( R 2 = 0.9993 ) and 4–200 μg·L −1 ( R 2 = 0.9986 ), respectively, and the corresponding limits of detection (S/N = 3) being 1.61 and 1.33 μg·L −1 , respectively. The developed method enables the exploration of the novelly sulphur-targeted CL application based on carbon nanomaterials.
研究领域:
分析化学
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食品科学
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农业科学
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DOI
PubMed
高影响因子
Analytical Methods
·
2025
·Vol. 17
·期 8
·1884-1891
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IF 2.6
Hongjun Wang,Ziyang Bian,Yue Wang,Huijuan Niu,Zhenshan Yang,Hefu Li
Ensuring food safety necessitates rapid identification of pesticide residues on fruits. Herein, we developed a shape-adaptable flexible surface-enhanced Raman scattering (SERS) substrate, combined with a deep learning algorithm, to quickly detect and quantitatively analyze thiram on fruit surfaces. This SERS substrate was fabricated by depositing silver nanoparticles (Ag NPs) onto a thin, corrugated polydimethylsiloxane (PDMS) film. This innovative design improves physical flexibility, ensuring conformal contact with curved surfaces while achieving high sensitivity, reproducibility, and mechanical robustness. The corrugated Ag NPs@PDMS thin film was able to directly detect thiram at concentrations as low as 10−7 M on tomato and blueberry peels, exhibiting consistent SERS activity with small interference from the fruit's shape. Furthermore, we developed a one-dimensional convolutional neural network (1D CNN) model, trained using a dataset of SERS signals from thiram, for quantitative analysis. The developed model achieved high prediction accuracy, with a coefficient of determination (R2) of 0.9905 and a root mean square error (RMSE) of 0.1364. The integration of our flexible SERS substrate, which adapts well to irregular surfaces, with the 1D CNN algorithm for quantitative analysis, holds great potential for rapid thiram detection in fruits.
研究领域:
食品安全
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分析化学
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人工智能
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产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
·
2018
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IF 4.946
Xueli Luo,Wengang Zhang,Yong Han,Xiumei Chen,Li Zhu,Wenzhi Tang,Jianlong Wang,Tianli Yue,Zhonghong Li
A switchable sensor based on N and S co-doped carbon dots (N,S-CDs) was developed to determine ascorbic acid (AA) content in common fruits via fluorescence quenching of N,S-CDs by Fe 3+ (off) and recovery by AA (on). TEM showed that the particle size was 2.35–7.95 nm with an average diameter of 5.12 nm. XPS and FTIR confirmed the presence of –OH, –COOH and –NH 2 on N,S-CDs surface. UV–vis and FTIR revealed that the coordination of –COOH and –NH 2 on N,S-CDs surface with Fe 3+ accounted for FL quenching, and the release of –NH 2 from coordination complexes due to the reduction of Fe 3+ by AA led to partly FL recovery. The sensor allowed detecting AA in the linear range of 10–200 μmol/L with a LOD of 4.69 μmol/L. AA contents in common fruits detected by the sensor were in good agreement with the reference method (P > 0.05), indicating a practical fluorescent sensor for AA detection in common fruits.
研究领域:
分析化学
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食品科学
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生物医学
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产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
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2021
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IF 4.821
Jie Liu,Xinxin Xu,Aihong Wu,Zhengyou Wang,Shanshan Song,Hua Kuang,Liqiang Liu,Chuanlai Xu
In this study, a novel hapten of pyridaben was designed and used in the preparation of a monoclonal antibody (mAb), which was then used in the development of a lateral flow immunoassay (LFIA). The mAb 3C2 had good sensitivity with a 50% inhibitory concentration (IC 50 ) of 2.36 ng/mL. The developed LFIA had good sensitivity with cut-off values of 25 and 50 ng/g for pyridaben in cucumber and apple samples, respectively. Importantly, our LFIA was comparable to other methods of detection such as indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) and liquid chromatography mass spectrometry (LC-MS/MS). These results indicated that the LFIA method represents a reliable, portable, and high-throughput method for the on-site detection of pyridaben in vegetables and fruits.
研究领域:
分析化学
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食品科学
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免疫学
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2020
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IF 3.232
Jie Xie,Liangyu Li,Imran Mahmood Khan,Zhouping Wang,Xiaoyuan Ma
Herein, we reported a simple, flexible and sensitive surface-enhanced Raman scattering (SERS) substrate to detect methyl parathion residues in real life. The substrate was fabricated by filter paper and gold nanoparticles (Au NPs) with excellent reproducibility and stability. First, Au NPs were synthesized by the seed mediated growth method and assembled to the filter paper through immersion. The Raman probe molecule 4-MBA was used to evaluate performance of the substrate for an optimized signal using a portable Raman spectrometer coupled with 785 nm laser. Then, the paper-based substrate was applied to detect methyl parathion standard solution whose detection limit was down to 0.011 μg/cm 2 , and the linear range was between 0.018 μg/cm 2 and 0.354 μg/cm 2 . Afterwards, actual sample (apple) spiked with methyl parathion was taken to verify the practicality of the substrate by a simple way of “press–peel off”. The recovery rate was ranged from 94.09% to 98.72%, indicating that this method is reliable in actual sample detection without complicated pretreatment steps. This work demonstrates that the flexible paper-based substrate combined with portable Raman instruments can be potentially applied to on-site detection of hazardous substances in the field of food safety.
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
危险品化学品经营许可证（带存储）