دورية أكاديمية
Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics.
العنوان: | Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics. |
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المؤلفون: | Ke Q; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China., Yin L; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, Jiangsu University, Zhenjiang 212013, China., Jayan H; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China., El-Seedi HR; Pharmacognosy Group, Department of Pharmaceutical Biosciences, BMC, Uppsala University, P.O. Box 591, SE 751 24 Uppsala, Sweden.; International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang 212013, China., Gómez PL; Consejo Nacional de Investigaciones Cientificasy Tecnicas (CONICET), University of Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina., Alzamora SM; Consejo Nacional de Investigaciones Cientificasy Tecnicas (CONICET), University of Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina., Zou X; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, Jiangsu University, Zhenjiang 212013, China.; Consejo Nacional de Investigaciones Cientificasy Tecnicas (CONICET), University of Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina., Guo Z; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.; International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing, Jiangsu University, Zhenjiang 212013, China. |
المصدر: | Molecules (Basel, Switzerland) [Molecules] 2023 Jul 08; Vol. 28 (14). Date of Electronic Publication: 2023 Jul 08. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 100964009 Publication Model: Electronic Cited Medium: Internet ISSN: 1420-3049 (Electronic) Linking ISSN: 14203049 NLM ISO Abbreviation: Molecules Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Basel, Switzerland : MDPI, c1995- |
مواضيع طبية MeSH: | Spectrum Analysis, Raman*/methods , Metal Nanoparticles*/chemistry, Humans ; Dicofol ; Gold/chemistry ; Chemometrics ; Tea/chemistry |
مستخلص: | Dicofol is a highly toxic residual pesticide in tea, which seriously endangers human health. A method for detecting dicofol in tea by combining stoichiometry with surface-enhanced Raman spectroscopy (SERS) technology was proposed in this study. AuNPs were prepared, and silver shells were grown on the surface of AuNPs to obtain core-shell Au@AgNPs. Then, the core-shell Au@AgNPs were attached to the surface of a PDMS membrane by physical deposition to obtain a Au@AgNPs/PDMS substrate. The limit of detection (LOD) of this substrate for 4-ATP is as low as 0.28 × 10 -11 mol/L, and the LOD of dicofol in tea is 0.32 ng/kg, showing high sensitivity. By comparing the modeling effects of preprocessing and variable selection algorithms, it is concluded that the modeling effect of Savitzky-Golay combined with competitive adaptive reweighted sampling-partial least squares regression is the best (Rp = 0.9964, RPD = 10.6145). SERS technology combined with stoichiometry is expected to rapidly detect dicofol in tea without labels. |
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معلومات مُعتمدة: | No. 2022YFD2100604 Ministry of Science and Technology of the People's Republic of China |
فهرسة مساهمة: | Keywords: Au@AgNPs/PDMS; SERS; chemometrics; dicofol; tea |
المشرفين على المادة: | W4WMM0WS91 (Dicofol) 7440-57-5 (Gold) 0 (Tea) |
تواريخ الأحداث: | Date Created: 20230729 Date Completed: 20230731 Latest Revision: 20230801 |
رمز التحديث: | 20230801 |
مُعرف محوري في PubMed: | PMC10386380 |
DOI: | 10.3390/molecules28145291 |
PMID: | 37513164 |
قاعدة البيانات: | MEDLINE |
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