Chinese Academy of Inspection and Quarantine, Beijing 100176, China; Inner Mongolia Autonomous Region Institute of Product Quality Inspection, Huhhot 010070, China.
Waters Corporation, Beijing 100176, China.
Talanta. 2021 Apr 1;225:122069. doi: 10.1016/j.talanta.2020.122069. Epub 2020 Dec 29.
Increasing accounts of fraud and persistent labeling problems have brought the authenticity of leather products into question. In this study, we developed an extremely simplified workflow for real-time, in situ, and unambiguous authentication of leather samples using rapid evaporative ionization mass spectrometry (REIMS) coupled with an electric soldering iron. Initially, authentic leather samples from cattle, sheep, pig, deer, ostrich, crocodile, and snake were used to create a chemometric model based on principal component analysis and linear discriminant analysis algorithms. The validated multivariate statistical model was then used to analyze and generate live classifications of commercial leather samples. In addition to REIMS analysis, the microstructures of leathers were characterized by scanning electron microscopy to provide complementary information. The current study is expected to provide a high-throughput tool with superior efficiency and accuracy for authenticating the identity of leathers and other consumer products of biogenic origin.
越来越多的欺诈和持续存在的标签问题使皮革产品的真实性受到质疑。在本研究中，我们开发了一种极其简化的工作流程，使用快速蒸发电离质谱（REIMS）结合电烙铁对皮革样品进行实时、原位和明确的鉴定。首先，使用来自牛、羊、猪、鹿、鸵鸟、鳄鱼和蛇的真实皮革样品，基于主成分分析和线性判别分析算法创建了一个化学计量学模型。然后，使用经过验证的多元统计模型对商业皮革样品进行分析和实时分类。除了 REIMS 分析之外，皮革的微观结构还通过扫描电子显微镜进行了表征，以提供补充信息。预计本研究将为鉴定皮革和其他生物起源的消费品的身份提供一种具有高效率和高精度的高通量工具。
