Nanomaterials in consumer products: a challenging analytical problem.
Nanomaterials in consumer products: a challenging analytical problem.
复制标题
DOI：
10.3389/fchem.2015.00048
复制
发表时间：
2015
影响因子：
5.5
通讯作者：
Contado C
中科院分区：
文献类型：
--
作者：
Contado C
日常生活中使用的许多产品都是在纳米技术的帮助下制造的。化妆品、药品、防晒霜、粉状食品只是含有纳米粒子 (NP) 的最终产品的几个例子，通常添加纳米粒子是为了提高产品质量。为了正确评估工程纳米材料的益处与风险，并因此制定有利于消费者保护的立法，有必要了解与暴露水平相关的危害。这些信息意味着横向研究和许多不同的能力。从分析的角度来看，食品基质和化妆品或个人护理产品中纳米粒子的鉴定、定量和表征提出了重大挑战，因为纳米粒子通常以低浓度存在，并且它们分散的基质很复杂，并且通常与其检测和表征所需的分析仪器不兼容。本文重点介绍了一些适用于食品和化妆品中纳米粒子的检测、表征和定量的分析技术，报告了它们最近在表征这两个重要的工业和市场领域中特定金属和金属氧化物纳米粒子的应用。这项研究清楚地表明，需要对不同指标的 NP 进行尽可能完整的、匹配的互补信息的表征，这可以通过验证程序来实现。应该做更多的工作来生产标准化材料并建立方法来确定基于数字的尺寸分布并获得有关如此复杂的基质中纳米粒子的定量数据。
Many products used in everyday life are made with the assistance of nanotechnologies. Cosmetic, pharmaceuticals, sunscreen, powdered food are only few examples of end products containing nano-sized particles (NPs), generally added to improve the product quality. To evaluate correctly benefits vs. risks of engineered nanomaterials and consequently to legislate in favor of consumer's protection, it is necessary to know the hazards connected with the exposure levels. This information implies transversal studies and a number of different competences. On analytical point of view the identification, quantification and characterization of NPs in food matrices and in cosmetic or personal care products pose significant challenges, because NPs are usually present at low concentration levels and the matrices, in which they are dispersed, are complexes and often incompatible with analytical instruments that would be required for their detection and characterization. This paper focused on some analytical techniques suitable for the detection, characterization and quantification of NPs in food and cosmetics products, reports their recent application in characterizing specific metal and metal-oxide NPs in these two important industrial and market sectors. The need of a characterization of the NPs as much as possible complete, matching complementary information about different metrics, possible achieved through validate procedures, is what clearly emerges from this research. More work should be done to produce standardized materials and to set-up methodologies to determine number-based size distributions and to get quantitative date about the NPs in such a complex matrices.