The Characterization of Dry Fermented Sausages under the “Chorizo Zamorano” Quality Label: The Application of an Alternative Statistical Approach

Author:

Plaza JavierORCID,Ávila-Zarza Carmelo,Vivar-Quintana Ana MaríaORCID,Revilla IsabelORCID

Abstract

The characterization of quality brand meat products, such as “Chorizo Zamorano” dry fermented sausages, involves a wide range of data which makes it necessary to use alternative statistical methodologies. In this study, the feasibility of the Categorical Principal Components Analysis as a multivariate non-linear technique for the characterization of “Chorizo Zamorano” was assessed. The data analyzed were those of eight commercial brands covered by the quality mark over an eight-year period (2013–2020) and included parameters of the physicochemical composition and organoleptic properties of the product. The results showed that “Chorizo Zamorano” has an average moisture content (28.28%), high protein (38.38%) and fat (51.05%) contents, and a very low carbohydrate concentration (1.52%). Results showed that the fat and protein content and the sensory parameters related to external and internal odor appeared to be the studied variables with the greatest influence on the classification of the products according to their quality.

Funder

Junta de Castilla y León

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference57 articles.

1. European Comission (2013). Report from the Comission to the European Parliament and the Council on the Case for a Local Farming and Direct Sales Labelling Scheme, European Comission.

2. Food Authentication: Techniques, Trends & Emerging Approaches;Danezis;TrAC-Trends Anal. Chem.,2016

3. Consumer Reactions to the Use of EU Quality Labels on Food Products: A Review of the Literature;Grunert;Food Control,2016

4. Food Quality and Safety: Consumer Perception and Demand;Grunert;Eur. Rev. Agric. Econ.,2005

5. Comparison of Artificial Neural Networks and Multiple Regression Tools Applied to near Infrared Spectroscopy for Predicting Sensory Properties of Products from Quality Labels;Revilla;Microchem. J.,2020

Cited by 1 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