在食用油中的重金属通过一种新的电压测量味道传感器阵列的确定
Hasan Kiani1, Babak Beheshti1, Ali Mohammad Borghei1
1Department of Biosystem Mechanical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Journal of food science and technology
|April 2, 2024
概括
这项研究引入了一种新的电压测量味道传感器阵列 (VTSA),用于识别食用油中的重金属 (HM). 玻璃碳电极在检测大豆和大麻油中的,,锡和方面表现出卓越的性能.
科学领域:
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
- 电化学 电化学 电化学
背景情况:
- 食用油中的重金属污染对健康构成重大风险.
- 准确高效的检测方法对于食品安全至关重要.
- 现有的重金属分析方法可能是复杂和耗时的.
研究的目的:
- 开发和验证一个电压测量味道传感器阵列 (VTSA),用于识别食用油中的重金属 (HM).
- 为了比较不同电极 (笔石墨,丝印,玻璃碳) 对于HM检测的有效性.
- 评估化学测量方法的性能,用于对大豆和大麻油的HM分类.
主要方法:
- 一个电压测量味道传感器阵列 (VTSA) 使用笔石墨 (PG),丝印 (SP) 和玻璃碳 (GC) 电极构建.
- 重金属 (,,锡,) 在0.05,0.1和0.25 ppm的度中被添加到大豆和兰油中.
- 化学测量分类方法,包括主要组件分析 (PCA) 和K-最近邻居 (KNN),用于分析传感器输出.
- 部分最小平方 (PLS) 与VTSA结合用于预测分析.
主要成果:
- GC电极表现出色,解释了 100% 和 99% 的菜油和大豆油的差异.
- PG和SP电极也显示出显著的差异解释 (分别高达96%和91%).
- K-最近的邻居 (KNN) 有效地分类了食用油中的重金属.
- 部分最小平方 (PLS) 与VTSA相结合,在菜油中实现了99%的预测准确度.
结论:
- 开发的VTSA,特别是使用GC电极,是识别食用油中的重金属的高效工具.
- 化学测量分析显著提高了VTSA系统的分类能力.
- 这种方法提供了一种有希望的,敏感和高效的方法,以确保食用油在重金属污染方面安全.
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