阻抗谱在火腿腌制过程表征中的应用

Joel GIRÓN H, Rafael MASOT P, Raúl GRAU M, José BARAT B
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引用次数: 0

摘要

背景:食品和饲料技术的智能控制包括开发新的方法,方便控制生产过程,保证农产品的质量和安全。对这一研究方向的重视清楚地表明,促进引进创新技术所涉及的所有行动者都感兴趣。目标是实现新的、快速的、经济的分析技术,这是传统控制程序的真正替代方案。目的:本研究的目的是评估在腌制后步骤(8,10,12和14周)中,基于阻抗谱技术的电子传感器对火腿特征的使用。材料与方法:取肥肉、半肥肉、瘦肉3种火腿60只,在公司(xNaCl = 0.11 g/g干物质)条件下进行盘腌。每次样品首先用电子方法(无损分析)进行评估,然后对不同区域的每个火腿进行质量变化、水分含量、脂肪含量、盐分含量和水活度的分析测定。通过分析数据,采用主成分分析(PCA)和偏最小二乘回归(PLS)对电数据进行评估。结果:主成分分析对不同评价区进行了判别。在第八周,79.06%的方差被解释,在第十周,82.53%的方差被解释。不同火腿种类间无相关性。阻抗信号与分析结果的相关性表明,水分含量(0.75)和水活度(0.73)的交叉验证系数(R2CV)值最佳。结论:阻抗谱技术在盐渍后的前两个时间(8周和10周)产生了不同的分析区域之间的信号,其中物理化学差异也由于区域之间盐浓度的变化而被观察到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of impedance spectroscopy for the characterization of hams during post-salting
Background: The smart control for food and feed technologies consist in the development of new methods that facilitate the control of productive processes guaranteeing the quality and safety of agrofood products. The importance given to this research line is a clear indicator of the interest of all of the agents implicated in promoting the introduction of innovative technologies. The goal is to implement new, fast, economical, analytical techniques, which constitute a real alternative to traditional control procedures. Objective: The aim of this study was to evaluate the use of an electronic sensor based on the impedance spectroscopy technique for the characterization of hams during the post-salting step (8, 10, 12 and 14 weeks). Materials and methods: 60 hams from three different categories (fat, semi-fat and lean), were tray salted under the conditions of a company (xNaCl = 0.11 g/g dry matter). For each time, samples were first evaluated with the electronic method (non-destructive analysis) and then analytical determinations of: mass variation, moisture content, fat content, salt content and water activity were performed on each ham in different zones. The electric data were evaluated using Principal Component Analysis (PCA) and regression with Partial Least Squares (PLS) through the analytical data. Results: The PCA analysis discriminated between the different evaluated zones. At eighth week 79.06% of the variance was explained and at tenth week, the 82.53%. No relation was observed for the different ham categories. The correlation between the impedance signal and the analytical determinations showed the best cross validation coefficient (R2CV) values for moisture content (0.75) and water activity (0.73). Conclusions: The impedance spectroscopy technique generated different signals between the zones of analysis during the first two post-salting times, eight and ten weeks, in which physicochemical differences were also observed as a consequence of the variation in the salt concentration between zones.
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