Adélia Ferreira Dargère, Josane Cardim de Jesus, Sibelli Passini Barbosa Ferrão, Leandro Soares Santos, Peter Bitencourt Faria
{"title":"A multivariate approach to verify correlations between sensory quality indices and analytical quality indices in traditional Brazilian cheese","authors":"Adélia Ferreira Dargère, Josane Cardim de Jesus, Sibelli Passini Barbosa Ferrão, Leandro Soares Santos, Peter Bitencourt Faria","doi":"10.1007/s13197-024-06145-3","DOIUrl":null,"url":null,"abstract":"<div><p>Artisanal Minas cheese (AMC) is a traditional Brazilian cheese that combines particular production techniques and maturation conditions resulting in cheeses with unique sensory properties. The objective was to use multivariate statistical to determine a quality index based on the correlation of sensory and instrumental analyses of AMC. 25 samples were obtained from a cheese contest, which were sensorially evaluated by judges. Composition, lipid oxidation, fatty acid and volatile compound profiles were analyzed. The data were analyzed using principal component analysis (PCA) and canonical correlation analysis (CCA). PCA helped identify the key variables that distinguished different types of cheeses based on their qualities. CCA showed that hardness and lipid oxidation are indicators of the sensorial quality of cheeses, parameters that classified the cheeses in the competition, with the best evaluated having higher levels of these attributes.</p></div>","PeriodicalId":632,"journal":{"name":"Journal of Food Science and Technology","volume":"62 9","pages":"1764 - 1771"},"PeriodicalIF":2.7010,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Science and Technology","FirstCategoryId":"1","ListUrlMain":"https://link.springer.com/article/10.1007/s13197-024-06145-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artisanal Minas cheese (AMC) is a traditional Brazilian cheese that combines particular production techniques and maturation conditions resulting in cheeses with unique sensory properties. The objective was to use multivariate statistical to determine a quality index based on the correlation of sensory and instrumental analyses of AMC. 25 samples were obtained from a cheese contest, which were sensorially evaluated by judges. Composition, lipid oxidation, fatty acid and volatile compound profiles were analyzed. The data were analyzed using principal component analysis (PCA) and canonical correlation analysis (CCA). PCA helped identify the key variables that distinguished different types of cheeses based on their qualities. CCA showed that hardness and lipid oxidation are indicators of the sensorial quality of cheeses, parameters that classified the cheeses in the competition, with the best evaluated having higher levels of these attributes.
期刊介绍:
The Journal of Food Science and Technology (JFST) is the official publication of the Association of Food Scientists and Technologists of India (AFSTI). This monthly publishes peer-reviewed research papers and reviews in all branches of science, technology, packaging and engineering of foods and food products. Special emphasis is given to fundamental and applied research findings that have potential for enhancing product quality, extend shelf life of fresh and processed food products and improve process efficiency. Critical reviews on new perspectives in food handling and processing, innovative and emerging technologies and trends and future research in food products and food industry byproducts are also welcome. The journal also publishes book reviews relevant to all aspects of food science, technology and engineering.