[1] 江伟, 吴幼茹, 薛洁.C、H、O同位素分析在葡萄酒产区鉴别中的应用[J].食品科学, 2016, 37(6):166-171.
JIANG W, WU Y R, XUE J.Application of C, H and O isotopes for identifying the geographical origin of wines[J].Food Science, 2016, 37(6):166-171.
[2] DURANTE C, BERTACCHINI L, COCCHI M, et al.Development of 87Sr/86Sr maps as targeted strategy to support wine quality[J].Food Chemistry, 2018, 255:139-146.
[3] MARCHIONNI S, BUCCIANTI A, BOLLATI A, et al.Conservation of 87Sr/86Sr isotopic ratios during the winemaking processes of ‘Red’ wines to validate their use as geographic tracer[J].Food Chemistry, 2016, 190:777-785.
[4] 赵昊, 王雪薇, 宋晶晶, 等.不同品种葡萄酒香气特征及成分分析[J].中外葡萄与葡萄酒, 2020(6):28-33.
ZHAO H, WANG X W, SONG J J, et al.Analysis of aroma components of different variety wines[J].Sino-Overseas Grapevine & Wine, 2020(6):28-33.
[5] 陶永胜. 贺兰山东麓霞多丽葡萄酒的香气成分活性及其指纹特征研究[J].宁夏林业, 2019(3):55-61.
TAO Y S.Study on aroma component activity and fingerprint characteristics of Chardonnay wine at the eastern foot of Helan Mountain[J].Ningxia Linye, 2019(3):55-61.
[6] 陶永胜, 李华, 王华.中国不同产区赤霞珠干红葡萄酒香气成分数据的可视化分析[J].分析化学, 2008, 36(5):653-657.
TAO Y S, LI H, WANG H.Data visualization of wine aroma compounds of Cabernet Sauvignon dry red wines from different origins in China[J].Chinese Journal of Analytical Chemistry, 2008, 36(5):653-657.
[7] 白秀芝, 王美玲, 颜鸿飞, 等.高效液相色谱指纹图谱及随机森林应用于湖南安化黑茶水溶性成分的研究[J].分析测试学报, 2014, 33(11):1 268-1 273.
BAI X Z, WANG M L, YAN H F, et al.Investigation on fingerprint of Hunan Anhua dark tea’s water-soluble components by high performance liquid chromatography and random forest[J].Journal of Instrumental Analysis, 2014, 33(11):1 268-1 273.
[8] 何勇, 郑启帅, 张初, 等.基于中红外光谱和化学计量学算法鉴别核桃产地及品种[J].光谱学与光谱分析, 2019, 39(9):2 812-2 817.
HE Y, ZHENG Q S, ZHANG C, et al.Identification of walnut origins and varieties with mid-infrared spectroscopy analysis technique[J].Spectroscopy and Spectral Analysis, 2019, 39(9):2 812-2 817.
[9] ALBERTS P, STANDER M A, DE VILLIERS A.Advanced ultra high pressure liquid chromatography-tandem mass spectrometric methods for the screening of red wine anthocyanins and derived pigments[J].Journal of Chromatography A, 2012, 1 235:92-102.
[10] ARBULU M, SAMPEDRO M C, GÓMEZ-CABALLERO A, et al.Untargeted metabolomic analysis using liquid chromatography quadrupole time-of-flight mass spectrometry for non-volatile profiling of wines[J].Analytica Chimica Acta, 2015, 858:32-41.
[11] VACLAVIK L, LACINA O, HAJSLOVA J, et al.The use of high performance liquid chromatography-quadrupole time-of-flight mass spectrometry coupled to advanced data mining and chemometric tools for discrimination and classification of red wines according to their variety[J].Analytica Chimica Acta, 2011, 685(1):45-51.
[12] ROULLIER-GALL C, WITTING M, GOUGEON R D, et al.High precision mass measurements for wine metabolomics[J].Frontiers in Chemistry, 2014, 2, 102.DOI:10.3389/fchem.2014.00102.
[13] 王梓笛, 李双妹, 尹延东, 等.基于支持向量机算法的乳制品分类识别技术研究[J].粮食科技与经济, 2020, 45(3):104-107.
WANG Z D, LI S M, YIN Y D, et al.Research on classification and recognition of dairy products based on support vector machine algorithm[J].Grain Science and Technology and Economy, 2020, 45(3):104-107.
[14] 林立毅, 徐敦明, 沈晓骅, 等.液相色谱-四级杆飞行时间串联质谱对法国波尔多地区葡萄酒产地溯源研究初探[J].食品安全质量检测学报, 2014, 5(9):2 649-2 656.
LIN L Y, XU D M, SHEN X H, et al.Traceability of the wine in Bordeaux region from France based on liquid chromatography-quadrupole-time of flight tandem mass spectrometry[J].Journal of Food Safety & Quality, 2014, 5(9):2 649-2 656.
[15] DÍAZ R, POZO O J, SANCHO J V, et al.Metabolomic approaches for orange origin discrimination by ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry[J].Food Chemistry, 2014, 157:84-93.
[16] 祝爱艳, 梁露, 侯金雪, 等.基于赣南脐橙指纹图谱的主成分及UPLC-Q-TOF-MS分析[J].中国食品学报, 2019, 19(8):257-264.
ZHU A Y, LIANG L, HOU J X, et al.Analysis of principal component and UPLC-QTOF-MS of Gannan navel orange based on the fingerprints[J].Journal of Chinese Institute of Food Science and Technology, 2019, 19(8):257-264.
[17] MILOVANOVIC M, ERAVÍK J, OBOŘIL M, et al.A novel method for classification of wine based on organic acids[J].Food Chemistry, 2019, 284:296-302.
[18] LIU Z, ZHANG W X, ZHANG Y Z, et al.Assuring food safety and traceability of polished rice from different production regions in China and Southeast Asia using chemometric models[J].Food Control, 2019, 99:1-10.
[19] 柯朝甫, 武晓岩, 侯艳, 等.偏最小二乘判别分析交叉验证在代谢组学数据分析中的应用[J].中国卫生统计, 2014, 31(1):85-87.
KE Z F, WU X Y, HOU Y, et al.Application of partial least squares discriminant analysis cross validation in metabolomics data analysis[J].Chinese Journal of Health Statistics, 2014, 31(1):85-87.
[20] 朱立云, 刘媛华.支持向量机在意大利葡萄酒种类识别中的应用[J].软件导刊, 2020, 19(11):29-32.
ZHU L Y, LIU Y H.Application of support vector machines in the type identification of Italian wine[J].Software Guide, 2020, 19(11):29-32.
[21] CALLE J L P, FERREIRO-GONZÁLEZ M, RUIZ-RODRÍGUEZ A, et al.A methodology based on FT-IR data combined with random forest model to generate spectralprints for the characterization of high-quality vinegars[J].Foods (Basel, Switzerland), 2021, 10(6):1411.
[22] GENUER R, POGGI J M, TULEAU-MALOT C.Variable selection using random forests[J].Pattern Recognition Letters, 2010, 31(14):2 225-2 236.
[23] 邵琦, 陈云浩, 杨淑婷, 等.基于随机森林算法的玉米品种高光谱图像鉴别[J].地理与地理信息科学, 2019, 35(5):34-39.
SHAO Q, CHEN Y H, YANG S T, et al.Identification of maize seed varieties based on random forest and hyperspectral technique[J].Geography and Geo-Information Science, 2019, 35(5):34-39.
[24] STAVRIDOU K, SOUFLEROS E H, BOULOUMPASI E, et al.The phenolic potential of wines from French grape varieties Cabernet Sauvignon, Merlot and Syrah cultivated in the region of Thessaloniki (northern Greece) and its evolution during aging[J].Food and Nutrition Sciences, 2016, 7(2):122-137.
[25] ALEXANDROS T, MARILENA D, REZA A, et al.LC-MS based metabolomics for the authentication of selected Greek white wines[J].Microchemical Journal, 2021, 169:106543.