| [1] |
The International Vine and Wine Organisati on (OIV).State of the world vine and wine sectorin 2024:Adaptation & cooperation[R/OL].(2025-04-15)[2025-04-30].https://www.oiv.int/index.php/press/state-world-vine-and-wine-sector-2024-adaptation-cooperation. |
| [2] |
谢喜麟.中国葡萄酒产区分布及气候变化对其影响分析(以东北产区为例)[D].杨凌:西北农林科技大学,2018. XIE X L.Study on status of wine regions in China and impact of climate change on it (take north east for example)[D].Yangling:Northwest A&F University,2018. |
| [3] |
WHITE R E.The value of soil knowledge in understanding wine terroir[J].Frontiers in Environmental Science,2020,8:12. |
| [4] |
冯淑敏.高效液相色谱在食品检测中的应用探究[J].食品安全导刊,2023(6):163-165. FENG S M.Research on the practice of high performance liquid chromatography in food detection[J].China Food Safety Magazine,2023. (6):163-165. |
| [5] |
PENG T Q,YIN X L,GU H W,et al.HPLC-DAD fingerprints combined with chemometric techniques for the authentication of plucking seasons of Laoshan green tea[J].Food Chemistry,2021,347:128959. |
| [6] |
GU H W,YIN X L,PENG T Q,et al.Geographical origin identification and chemical markers screening of Chinese green tea using two-dimensional fingerprints technique coupled with multivariate chemometric methods[J].Food Control,2022,135:108795. |
| [7] |
彭天琴.基于三维色谱指纹图谱的绿茶质量等级评定新方法研究[D].荆州:长江大学,2021. PENG T Q.Development of a new method for evaluating quality grade of tea based on three-way chromatographic fingerprints [D].Jingzhou:Yangtze University,2021. |
| [8] |
DONG Z Y,XU J L.Baseline estimation using optimized asymmetric least squares (O-ALS)[J].Measurement,2024,233:114731. |
| [9] |
JAUMOT J,DEJUAN A N,TAULER R.MCR-ALS GUI 2.0:New features and applications[J].Chemometrics and Intelligent Laboratory Systems,2015,140:1-12. |
| [10] |
ANZARDI M B,ARANCIBIA J A,OLIVIERI A C.Processing multi-way chromatographic data for analytical calibration,classification and discrimination:A successful marriage between separation science and chemometrics[J].TrAC Trends in Analytical Chemistry,2021,134:116128. |
| [11] |
CHANG C C,LIN C J.LIBSVM:A library for support vector machines[J].ACM transactions on intelligent systems and technology (TIST),2011,2(3):1-27. |
| [12] |
BOS T S,KNOL W C,MOLENAAR S R A,et al.Recent applications of chemometrics in one-and two-dimensional chromatography[J].Journal of Separation Science,2020,43(9/10):1678-1727. |
| [13] |
NIEZEN L E,SCHOENMAKERS P J,PIROK B W J.Critical comparison of background correction algorithms used in chromatography[J].Analytica Chimica Acta,2022,1201:339605. |
| [14] |
ZHANG X,ZHANG Z Y,TAULER R.Evaluation of the extension of rotation ambiguity associated to multivariate curve resolution solutions by the application of the MCR-BANDS method[J].Talanta,2019,202:554-564. |
| [15] |
WANG Y,GU H W,YIN X L,et al.Deep learning in food safety and authenticity detection:An integrative review and future prospects[J].Trends in Food Science & Technology,2024,146:104396. |
| [16] |
JIMÉNEZ-CARVELO A M,MARTÍN-TORRES S,ORTEGA-GAVILÁN F,et al.PLS-DA vs sparse PLS-DA in food traceability.A case study:Authentication of avocado samples[J].Talanta,2021,224:121904. |
| [17] |
LI S C,YU X W,ZHEN Z P,et al.Geographical origin traceability and identification of refined sugar using UPLC-QTof-MS analysis[J].Food Chemistry,2021,348:128701. |
| [18] |
GU H W,ZHOU H H,LV(LYU) Y,et al.Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques[J].Journal of Food Composition and Analysis,2023,119:105265. |
| [19] |
PAN Y,GU H W,LV(LYU) Y,et al.Untargeted metabolomic analysis of Chinese red wines for geographical origin traceability by UPLC-QTOF-MS coupled with chemometrics[J].Food Chemistry,2022,394:133473. |
| [20] |
YIN X L,PENG Z X,PAN Y,et al.UHPLC-QTOF-MS-based untargeted metabolomic authentication of Chinese red wines according to their grape varieties [J].Food Research International,2024,178:113923. |