Real-Time Authentication of Camellia Oil by Rapid Evaporative Ionization Mass Spectrometry

• Published in: Separations Vol. 11; no. 3; p. 68
• Main Authors: Xiang, Jun, Liu, Qi, Jing, Huihua, Chen, Xiaoqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2024
• Subjects: adulteration; Algorithms; Amino acids; Authentication; camellia oil; Chromatography; Consumers; Discriminant analysis; electric soldering iron; Fatty acids; Fourier transforms; Identification; Instrument industry; Ionization; Mass spectrometry; Nutrients; Oils & fats; Prediction models; Principal components analysis; Rapeseed; rapid evaporative ionization mass spectrometry; Real time; Scientific imaging; Seeds; Soldering irons; Soybean; Soybeans; Spectrum analysis; Sunflower oil; Vegetable oils; United States; United Kingdom; China
• ISSN: 2297-8739; 2297-8739
• DOI: 10.3390/separations11030068

Camellia oil is a high-value product with rich nutrients. Recently, the adulteration of camellia oil has become an increasingly concerning issue related to human health. In this study, electric soldering iron coupled with rapid evaporative ionization mass spectrometry (REIMS) was employed for the identification and analysis of camellia oil without any sample preparation. REIMS technology coupled with chemometrics was applied to develop an analysis model for the authentication of camellia oil adulterated with soybean oil, peanut oil, rapeseed oil, sunflower oil, and corn oil (5–40%, v/v). The results showed that different types of vegetable oils could be classified using principal component analysis-linear discriminant analysis (PCA-LDA) with a correct classification of 93.8% in leave-20%-out cross-validation and 100% correctly identified in real-time recognition. The established prediction models were found to be particularly sensitive when the camellia oil samples were adulterated with 5–40% of other oils, indicating that REIMS could be a powerful tool for the authentication and adulteration analysis of camellia oil, particularly for cases where the adulteration levels are relatively high. In conclusion, the results provide valuable insights into the potential of REIMS for the rapid, accurate, and real-time authentication and adulteration analysis of camellia oil.