F Boukid , P Littardi , E Carini , A Diantom , E Curti , Y Vodovotz , E Vittadini
{"title":"利用判别分析识别新型意大利面配方烹饪过程中的差异","authors":"F Boukid , P Littardi , E Carini , A Diantom , E Curti , Y Vodovotz , E Vittadini","doi":"10.1016/j.foostr.2022.100291","DOIUrl":null,"url":null,"abstract":"<div><p>Given the great innovation in pasta formulations, elucidating factors that will impact pasta behaviour during cooking is essential when alternative ingredients are incorporated. Whole wheat (W), vegetable (V) and gluten free (GF) pastas (from raw to overcooked) were analysed using a multiscale approach and compared with a standard (STD) formulation. Macroscopic (moisture content and hardness), mesoscopic (viscoelastic properties and degree of gelatinization) and molecular (<sup>1</sup><span>H NMR relaxometry) properties were evaluated and coupled with discrimination analysis (by means of principal components analysis and partial least square). Results from 2-ways ANOVA indicated that the cooking time (CT) was the main factor influencing the studied properties overlapping the effect of pasta formulation (PF). The application of partial least square analysis was effective in indicating viscoelastic properties and several molecular mobility indicators as typifying features able to describe pasta behaviour during cooking and discriminating GF from their gluten-containing counterparts.</span></p></div>","PeriodicalId":48640,"journal":{"name":"Food Structure-Netherlands","volume":"33 ","pages":"Article 100291"},"PeriodicalIF":5.6000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of discrimination analysis to identify differences during cooking of novel pasta formulations\",\"authors\":\"F Boukid , P Littardi , E Carini , A Diantom , E Curti , Y Vodovotz , E Vittadini\",\"doi\":\"10.1016/j.foostr.2022.100291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Given the great innovation in pasta formulations, elucidating factors that will impact pasta behaviour during cooking is essential when alternative ingredients are incorporated. Whole wheat (W), vegetable (V) and gluten free (GF) pastas (from raw to overcooked) were analysed using a multiscale approach and compared with a standard (STD) formulation. Macroscopic (moisture content and hardness), mesoscopic (viscoelastic properties and degree of gelatinization) and molecular (<sup>1</sup><span>H NMR relaxometry) properties were evaluated and coupled with discrimination analysis (by means of principal components analysis and partial least square). Results from 2-ways ANOVA indicated that the cooking time (CT) was the main factor influencing the studied properties overlapping the effect of pasta formulation (PF). The application of partial least square analysis was effective in indicating viscoelastic properties and several molecular mobility indicators as typifying features able to describe pasta behaviour during cooking and discriminating GF from their gluten-containing counterparts.</span></p></div>\",\"PeriodicalId\":48640,\"journal\":{\"name\":\"Food Structure-Netherlands\",\"volume\":\"33 \",\"pages\":\"Article 100291\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Structure-Netherlands\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213329122000405\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Structure-Netherlands","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213329122000405","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Use of discrimination analysis to identify differences during cooking of novel pasta formulations
Given the great innovation in pasta formulations, elucidating factors that will impact pasta behaviour during cooking is essential when alternative ingredients are incorporated. Whole wheat (W), vegetable (V) and gluten free (GF) pastas (from raw to overcooked) were analysed using a multiscale approach and compared with a standard (STD) formulation. Macroscopic (moisture content and hardness), mesoscopic (viscoelastic properties and degree of gelatinization) and molecular (1H NMR relaxometry) properties were evaluated and coupled with discrimination analysis (by means of principal components analysis and partial least square). Results from 2-ways ANOVA indicated that the cooking time (CT) was the main factor influencing the studied properties overlapping the effect of pasta formulation (PF). The application of partial least square analysis was effective in indicating viscoelastic properties and several molecular mobility indicators as typifying features able to describe pasta behaviour during cooking and discriminating GF from their gluten-containing counterparts.
期刊介绍：
Food Structure is the premier international forum devoted to the publication of high-quality original research on food structure. The focus of this journal is on food structure in the context of its relationship with molecular composition, processing and macroscopic properties (e.g., shelf stability, sensory properties, etc.). Manuscripts that only report qualitative findings and micrographs and that lack sound hypothesis-driven, quantitative structure-function research are not accepted. Significance of the research findings for the food science community and/or industry must also be highlighted.
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