利用电感耦合等离子体质谱仪测定塑料食品接触产品水基模拟液中的某些元素迁移量

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Mahmoud M. Ghuniem
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引用次数: 0

摘要

存在于食品供应链不同阶段的各种化学物质会导致重金属的沥滤。这些金属会通过食用受污染的食物在人体内积累。因此,有必要验证一种用于量化可能污染食品的化学物质的分析技术。本研究提出了一种快速、直接、高效的分析方法,利用电感耦合质谱仪(ICP-MS)直接定量检测塑料食品接触产品水性模拟物中的一些潜在有毒元素。该方法的验证包括在优化的 ICP-MS 条件下研究铝 (Al)、锑 (Sb)、砷 (As)、镉 (Cd)、铬 (Cr)、钴 (Co)、铜 (Cu)、铁 (Fe)、铅 (Pb)、锰 (Mn)、镍 (Ni) 和锌 (Zn) 的估计检测限、实际定量限、线性、准确度和测量不确定性。估计检出限为 7.5 × 10-4 至 0.074 mg/kg,实际定量限为 0.02 至 0.8 mg/kg。不同加标水平下的平均回收率为 85.7 ± 1.51% 至 115.6 ± 0.88%,变异系数为 0.42 至 5.85%。使用从食品化学能力测试和分析(FAPAS)购买的参考材料(醋酸水溶液中的测试材料)验证了该方法的准确性,结果令人满意,回收率和Z-score值均在可接受范围内。以相对标准偏差(RSD)表示的方法精密度低于 4.22%。以所有验证元素的扩展不确定度表示的方法不确定度小于 21.9%。采用经过验证的方法测定了 30 个商用塑料食品包装样品(代表三种不同类型的塑料聚合物)的水基模拟物中的特定元素。结果表明,平均浓度(毫克/千克)如下2.04(铝)、0.02(砷)、0.02(镉)、0.02(钴)、0.06(铬)、0.41(铜)、1.55(铁)、0.09(锰)、0.15(镍)、0.07(铅)、0.05(锑)和 0.81(锌)。此外,30% 的分析样品中的铝含量超过了塑料材料和与食品接触的物品的最大允许限值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Determination of Some Element’s Migrants in Aqueous Simulant from Plastic Food Contact Products by Inductively Coupled Plasma Mass Spectrometer

Determination of Some Element’s Migrants in Aqueous Simulant from Plastic Food Contact Products by Inductively Coupled Plasma Mass Spectrometer

Various chemicals present at different stages in the food supply chain can lead to the leaching of heavy metals. These metals can accumulate in the human body through the consumption of contaminated food. Consequently, it is necessary to validate an analytical technique for the quantification chemical that could contaminate food. This study presents a rapid, straightforward, and efficient analytical method for the direct quantification of some potentially toxic elements in aqueous simulants from plastic food contact products using an inductively coupled mass spectrometer (ICP-MS). The method’s validation encompassed the study of the estimated detection limits, practical quantification limits, linearity, accuracy, and measurement uncertainty of aluminium (Al), antimony (Sb), arsenic (As), cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), iron (Fe), lead (Pb), manganese (Mn), nickel (Ni), and zinc (Zn) under optimized ICP-MS conditions. The estimated detection limits ranged from 7.5 × 10−4 to 0.074 mg/kg, while practical quantification limits spanned from 0.02 to 0.8 mg/kg. The average recoveries ± standard deviations at different spiking levels were varied between 85.7 ± 1.51 and 115.6 ± 0.88% with coefficients of variation between 0.42 and 5.85%. The method trueness was verified by using references materials (test material in aqueous acetic acid) purchased from Food Chemistry Proficiency Testing and Analysis (FAPAS) yielding satisfactory results within acceptable recovery and Z-score values. The method precision, in terms of relative standard deviation (RSD), was being below 4.22%. The method uncertainty expressed as expanded uncertainty of all validated elements was found to be ≤ 21.9%. Validated method was employed to determine specific elements in aqueous simulants of thirty commercial plastic food packaging samples, representing three distinct types of plastic polymers. The results showed that the mean concentrations, in mg/kg, were as follows: 2.04 (Al), 0.02 (As), 0.02 (Cd), 0.02 (Co), 0.06 (Cr), 0.41 (Cu), 1.55 (Fe), 0.09 (Mn), 0.15 (Ni), 0.07 (Pb), 0.05 (Sb), and 0.81 (Zn). Furthermore, 30% of analyzed samples exceeding the maximum permissible limits of Al for plastic materials and articles intended to come into contact with food.

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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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