电导率是估算生金枪鱼肉和熟金枪鱼肉含盐量的精确方法

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
Petcharat Wiroonsri, Saowakon Wattanachant
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引用次数: 0

摘要

本研究对电导率(EC)进行了评估,以估算生熟鲣鱼(Katsuwonus pelamis)中不同大小和制作方法的盐含量。金枪鱼的大小从 0.10 千克到 9.00 千克不等,分析内容包括水分、脂肪、蛋白质、灰分、导电率和盐含量。在生金枪鱼中,氨基甲酸乙酯与盐含量呈高度相关(R² = 0.84),预测方程为 Y = 0.112X - 0.525。与生金枪鱼相比,熟金枪鱼的水分、脂肪和盐分都有所减少,因此导电率与盐分含量关系密切(R² = 0.89),预测方程为 Y = 0.169X - 0.623。盐水金枪鱼罐头在预测盐含量方面显示出较高的导电率有效性(含介质和不含介质的导电率分别为 0.93 和 0.95)。然而,对于油浸金枪鱼,导电率相关性较弱(R² = 0.06 和 0.01),表明油会干扰离子移动。将使用导电率估算的盐含量与自动滴定法获得的实际盐含量进行验证后,结果证实导电率是估算生金枪鱼、熟金枪鱼和盐渍金枪鱼中盐含量的可靠且经济有效的工具,但其对油基罐头产品的适用性有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrical conductivity as a precise method for salt content estimation in raw and cooked tuna meat
This study evaluates electrical conductivity (EC) for estimating salt content in raw and cooked Skipjack tuna (Katsuwonus pelamis) across various sizes and preparation methods. Tuna sizes ranged from 0.10 to 9.00 kg, and the analysis included moisture, fat, protein, ash, EC, and salt content. In raw tuna, EC exhibited a high correlation with salt content (R² = 0.84), with the prediction equation Y = 0.112X - 0.525. For cooked tuna, which had reduced moisture, fat, and salt compared to raw tuna, EC showed a strong relationship with salt content (R² = 0.89) and the prediction equation Y = 0.169X - 0.623. Canned tuna in brine demonstrated high EC effectiveness for predicting salt content (R² = 0.93 and 0.95 for with and without media, respectively). However, for tuna in oil, EC correlations were weak (R² = 0.06 and 0.01), indicating that oil interferes with ion movement. After validating the estimated salt content using EC against the actual salt content obtained by auto-titration, the results confirm that EC is a reliable and cost-effective tool for estimating salt content in raw, cooked, and brine tuna, although its applicability is limited for oil-based canned products.
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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