Optimized Eco-friendly Sample Preparation Methods for Determining Major and Minor Elements in Cheeses by ICP OES

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Mariana Martins Melo, Fernanda Nunes Ferreira, Aderval S. Luna, Marta Antunes Pereira Langone, Jefferson Santos de Gois
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Abstract

This work describes the optimization and validation of sample preparation methods for determining major and minor elements in artisanal Brazilian cheese samples by inductively coupled plasma optical emission spectrometry. Three sample preparation methods were optimized and compared: microwave-assisted digestion, ultrasound-assisted extraction, and alkaline solubilization using tetramethylammonium hydroxide. A central composite design was used for the optimization using the R software. The optimal experimental conditions were achieved at 1.58 mL of HNO3 14 mol L−1 and 0.570 g of sample mass for the microwave-assisted digestion (capable of determining Ca, Fe, K, Mg, Na, and P); 3.4 mol L−1 of HNO3, 0.91 mol L−1 of HCl, and 2.5 min for the ultrasound-assisted extraction (capable of determining Ca, K, Na, and Zn); and 21.8% (w/w) of tetramethylammonium hydroxide, 50 °C, and 103 min for the AS method (capable of determining K, Na, and Zn). The optimized methods were validated and applied for the analysis of four kinds of artisanal Brazilian cheeses and compared with the dry-ashing method, using a paired t-test, where the means agreed with the dry-ashing method at a 95% confidence interval.

Abstract Image

利用 ICP OES 测定奶酪中主要和次要元素的优化环保型样品制备方法
本研究介绍了通过电感耦合等离子体光发射光谱法测定巴西手工奶酪样品中主要和次要元素的样品制备方法的优化和验证。对三种样品制备方法进行了优化和比较:微波辅助消化法、超声辅助萃取法和使用四甲基氢氧化铵的碱性溶解法。使用 R 软件进行了中心复合设计优化。微波辅助消解的最佳实验条件为:1.58 mL HNO3 14 mol L-1 和 0.570 g 样品质量(可测定 Ca、Fe、K、Mg、Na 和 P);3.4 mol L-1 HNO3、0.超声辅助萃取法(可测定 Ca、K、Na 和 Zn):3.4 mol L-1 HNO3、0.91 mol L-1 HCl 和 2.5 分钟;AS 法(可测定 K、Na 和 Zn):21.8%(重量比)四甲基氢氧化铵、50 °C 和 103 分钟。采用配对 t 检验对优化的方法进行了验证,并将其用于分析四种巴西手工奶酪,与干洗法进行了比较,结果表明,在 95% 的置信区间内,干洗法的平均值与干洗法一致。
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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