Development of an HPLC-DAD Method Combined with Chemometrics for Differentiating Geographical Origins of Chinese Red Wines on the Basis of Phenolic Compounds
| العنوان: | Development of an HPLC-DAD Method Combined with Chemometrics for Differentiating Geographical Origins of Chinese Red Wines on the Basis of Phenolic Compounds |
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| المؤلفون: | Zhi Liu, Xiao-Li Yin, Hui-Hui Zhou, Qiao Wu, Jie Shi, Hui-Wen Gu, Xiu-Fang Yan, Hai-Yan Chang, Ying Chen |
| المصدر: | Food Analytical Methods. 14:1895-1907 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Wine, Chromatography, Chemistry, 010401 analytical chemistry, food and beverages, 04 agricultural and veterinary sciences, 040401 food science, 01 natural sciences, Applied Microbiology and Biotechnology, 0104 chemical sciences, Analytical Chemistry, Chemometrics, Chromatographic separation, 0404 agricultural biotechnology, High complexity, Principal component analysis, Safety, Risk, Reliability and Quality, Safety Research, Hplc dad, Food Science |
| الوصف: | In this work, a high-performance liquid chromatography-diode array detection (HPLC-DAD) method combined with chemometrics was developed for differentiating geographical origins of Chinese red wines. Phenolic compounds were firstly detected and quantified by direct injection HPLC-DAD method in thirty red wines originated from two famous wine-growing regions in China. Given the high complexity of the wine samples and the co-elution problems during chromatographic separation, multivariate curve resolution-alternating least squares (MCR-ALS) was utilized to extract pure chromatographic and spectral profiles of each co-eluted compound. Quantification of phenolic compounds was thus achieved even in the presence of overlapping peaks and uncalibrated interferents. The quantitative data of the phenolic compounds in wines provided by the MCR-ALS algorithm were afterwards analyzed by unsupervised principal component analysis (PCA) and hierarchical cluster analysis (HCA) methods and supervised orthogonal partial least squares-discrimination analysis (OPLS-DA) method. Both PCA and HCA results showed that the thirty red wines from different geographical origins could be obviously distinguished, and the OPLS-DA could successfully predict the geographical origins of red wines. This study demonstrated that the HPLC-DAD method combined with chemometrics can be used as an effective tool for differentiating geographical origins of Chinese red wines on the basis of phenolic compounds. |
| تدمد: | 1936-976X 1936-9751 |
| DOI: | 10.1007/s12161-021-02032-1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::50014590d99afad2e8b0593b7f1f6703 https://doi.org/10.1007/s12161-021-02032-1 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........50014590d99afad2e8b0593b7f1f6703 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1936976X 19369751 |
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| DOI: | 10.1007/s12161-021-02032-1 |