Varietal Discrimination of Trebbiano d’Abruzzo, Pecorino and Passerina White Wines Produced in Abruzzo (Italy) by Sensory Analysis and Multi-Block Classification Based on Volatiles, Organic Acids, Polyphenols, and Major Elements

Author:

Biancolillo AlessandraORCID,D’Archivio Angelo AntonioORCID,Pietrangeli Fabio,Cesarone Gaia,Ruggieri FabrizioORCID,Foschi MartinaORCID,Reale SamanthaORCID,Rossi LeucioORCID,Crucianelli MarcelloORCID

Abstract

Reliable analytical methods able to establish wine authenticity and compliance with the origin/variety denomination are essential tools for the safeguarding of consumers from fraud. In this work, we attempted the discrimination of certified monovarietal white wines produced in the Abruzzo region (Central Italy) in 2015 with Trebbiano d’Abruzzo, Pecorino or Passerina grapes, all belonging to the Trebbiano variety. A preliminary sensory analysis revealed a high similarity among the three wines. The aroma profile and polyphenol and organic acid profiles were collected by gas chromatography and ultra-high-performance liquid chromatography, respectively, on 46 samples representing the three wine varieties. Eventually, the concentration of 14 elements in the same samples, determined by inductively coupled plasma optical emission spectrometry, was considered. Partial Least Squares Discriminant Analysis pursued on the individual analytical responses gave unsatisfactory results in terms of varietal discrimination. A data fusion approach, Sequential and Orthogonalized Partial Least Squares Linear Discriminant Analysis, on the other hand, provided better results as it misclassified only three (out of eighteen) external samples. Tartaric acid, malic acid, Cu, Na, Ni, Sr, Ca, Fe, 3-methyl-1-butanol, 2-methyl-1-butanol, ethyl hexanoate, and 2-phenylethyl acetate were found to be the variables relevant in the discrimination of the three monovarietal wines.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3