{"title":"Electrical conductivity as a precise method for salt content estimation in raw and cooked tuna meat","authors":"Petcharat Wiroonsri, Saowakon Wattanachant","doi":"10.1016/j.jfca.2024.106953","DOIUrl":null,"url":null,"abstract":"<div><div>This study evaluates electrical conductivity (EC) for estimating salt content in raw and cooked Skipjack tuna (<em>Katsuwonus pelamis</em>) 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.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106953"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524009876","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.