دورية أكاديمية
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Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics.

التفاصيل البيبلوغرافية
العنوان: Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics.
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
الوصف
تدمد:1420-3049
DOI:10.3390/molecules28145291