Untargeted metabolomics analysis based on LC-IM-QTOF-MS for discriminating geographical origin and vintage of Chinese red wine.

[1]  Ying Chen,et al.  Untargeted metabolomic analysis of Chinese red wines for geographical origin traceability by UPLC-QTOF-MS coupled with chemometrics. , 2022, Food chemistry.

[2]  Zhumei Xi,et al.  Effect of vineyard row orientation on microclimate, phenolic compounds, individual anthocyanins, and free volatile compounds of Cabernet Sauvignon (Vitis vinifera L.) in a high-altitude arid valley , 2022, European Food Research and Technology.

[3]  Kelsey L. Alexander,et al.  Native metabolomics identifies the rivulariapeptolide family of protease inhibitors , 2021, Nature Communications.

[4]  Xing fa Gu,et al.  Flavor Chemical Profiles of Cabernet Sauvignon Wines: Six Vintages from 2013 to 2018 from the Eastern Foothills of the Ningxia Helan Mountains in China , 2021, Foods.

[5]  G. Radu,et al.  Identification of Tentative Traceability Markers with Direct Implications in Polyphenol Fingerprinting of Red Wines: Application of LC-MS and Chemometrics Methods , 2021, Separations.

[6]  Hua Li,et al.  Community succession of the grape epidermis microbes of cabernet sauvignon (Vitis vinifera L.) from different regions in China during fruit development , 2021, International Journal of Food Microbiology.

[7]  Ying Chen,et al.  Integration of lipidomics and metabolomics for the authentication of camellia oil by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry coupled with chemometrics. , 2021, Food chemistry.

[8]  M. Battino,et al.  Using untargeted metabolomics to profile the changes in roselle (Hibiscus sabdariffa L.) anthocyanins during wine fermentation. , 2021, Food chemistry.

[9]  Tingting Ma,et al.  Real wine or not? Protecting wine with traceability and authenticity for consumers: chemical and technical basis, technique applications, challenge, and perspectives , 2021, Critical reviews in food science and nutrition.

[10]  Quynh T N Phan,et al.  Untargeted lipidomic approach in studying pinot noir wine lipids and predicting wine origin. , 2021, Food chemistry.

[11]  O. Adebo,et al.  Metabolomic approaches for the determination of metabolites from pathogenic microorganisms: A review. , 2021, Food research international.

[12]  Tania Portolés,et al.  Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers , 2021 .

[13]  J. Riedl,et al.  NMR spectroscopy in wine authentication: An official control perspective. , 2021, Comprehensive reviews in food science and food safety.

[14]  Xiao-Tong Gao,et al.  Influence of attenuated reflected solar radiation from the vineyard floor on volatile compounds in Cabernet Sauvignon grapes and wines of the north foot of Mt. Tianshan. , 2020, Food research international.

[15]  D. Greenwood,et al.  A Metabolomics Approach To Assessing The Relative Contributions Of The Volatile And Non-Volatile Composition To Expert Quality Ratings Of Pinot Noir Wine Quality. , 2020, Journal of agricultural and food chemistry.

[16]  Cristina Prandi,et al.  13C NMR Dataset Qualitative Analysis of Grecian Wines , 2020, Data.

[17]  Yue Huang,et al.  Targeted metabolomics of anthocyanin derivatives during prolonged wine aging: Evolution, color contribution and aging prediction. , 2020, Food chemistry.

[18]  K. Rogers,et al.  Origin verification of French red wines using isotope and elemental analyses coupled with chemometrics. , 2020, Food chemistry.

[19]  Alberto Mannu,et al.  13C NMR-Based Chemical Fingerprint for the Varietal and Geographical Discrimination of Wines , 2020, Foods.

[20]  S. Bastian,et al.  Authentication of the geographical origin of Australian Cabernet Sauvignon wines using spectrofluorometric and multi-element analyses with multivariate statistical modelling. , 2020, Food chemistry.

[21]  J. Martínez-Lüscher,et al.  Optimal Ranges and Thresholds of Grape Berry Solar Radiation for Flavonoid Biosynthesis in Warm Climates , 2020, Frontiers in Plant Science.

[22]  Hongshun Yang,et al.  Recent advances in the application of metabolomics for food safety control and food quality analyses , 2020, Critical reviews in food science and nutrition.

[23]  A. Versari,et al.  Use of Untargeted Liquid Chromatography–Mass Spectrometry Metabolome To Discriminate Italian Monovarietal Red Wines, Produced in Their Different Terroirs , 2020, Journal of agricultural and food chemistry.

[24]  T. Richard,et al.  1H NMR metabolomics applied to Bordeaux red wines. , 2019, Food chemistry.

[25]  X. Gong,et al.  UPLC-Q-TOF/MS-based untargeted metabolomics coupled with chemometrics approach for Tieguanyin tea with seasonal and year variations. , 2019, Food chemistry.

[26]  Kristian Holst Laursen,et al.  To target or not to target? Definitions and nomenclature for targeted versus non-targeted analytical food authentication , 2019, Trends in Food Science & Technology.

[27]  D. Osella,et al.  Wine evolution during bottle aging, studied by 1H NMR spectroscopy and multivariate statistical analysis. , 2019, Food research international.

[28]  R. Barbosa,et al.  Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis. , 2019, Food Chemistry.

[29]  R. Consonni,et al.  The potentiality of NMR‐based metabolomics in food science and food authentication assessment , 2019, Magnetic resonance in chemistry : MRC.

[30]  Michele Suman,et al.  The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized approach , 2018, Trends in Food Science & Technology.

[31]  Dongjie Zhang,et al.  Discrimination of conventional and organic rice using untargeted LC-MS-based metabolomics , 2018, Journal of Cereal Science.

[32]  Christopher T. Elliott,et al.  What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study , 2018, Trends in Food Science & Technology.

[33]  J. Martínez-Lüscher,et al.  Partial Solar Radiation Exclusion with Color Shade Nets Reduces the Degradation of Organic Acids and Flavonoids of Grape Berry (Vitis vinifera L.). , 2017, Journal of agricultural and food chemistry.

[34]  R. Yu,et al.  Direct and interference-free determination of thirteen phenolic compounds in red wines using a chemometrics-assisted HPLC-DAD strategy for authentication of vintage year , 2017 .

[35]  Eleanore T. Wurtzel,et al.  Plant metabolism, the diverse chemistry set of the future , 2016, Science.

[36]  Yajun Wu,et al.  A metabolomics approach for authentication of Ophiocordyceps sinensis by liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. , 2015, Food research international.

[37]  F. Pinu.  Metabolomics—The new frontier in food safety and quality research , 2015 .

[38]  Masanori Arita,et al.  MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis , 2015, Nature Methods.

[39]  A. Gómez-Caballero,et al.  Untargeted metabolomic analysis using liquid chromatography quadrupole time-of-flight mass spectrometry for non-volatile profiling of wines. , 2015, Analytica chimica acta.

[40]  J. Riedl,et al.  Validated modeling for German white wine varietal authentication based on headspace solid-phase microextraction online coupled with gas chromatography mass spectrometry fingerprinting. , 2014, Journal of agricultural and food chemistry.

[41]  J. Hajšlová,et al.  Metabolic fingerprinting based on high-resolution tandem mass spectrometry: a reliable tool for wine authentication? , 2014, Analytical and Bioanalytical Chemistry.

[42]  Nicholas A. Bokulich,et al.  Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate , 2013, Proceedings of the National Academy of Sciences.

[43]  J. Lindon,et al.  Systems biology: Metabonomics , 2008, Nature.

[44]  Metabolomics: Wine-omics , 2008, Nature.

[45]  A. Moing,et al.  1H NMR metabolite fingerprints of grape berry: Comparison of vintage and soil effects in Bordeaux grapevine growing areas , 2006 .