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Rapid and accurate detection of cinnamon oil adulteration in perilla leaf oil using atmospheric solids analysis probe-mass spectrometry.
Wu, Yanpei; Huang, Lieyan; Xu, Yan; Zhang, Yi; Nie, Lixing; Kang, Shuai; Wei, Feng; Ma, Shuangcheng.
Affiliation
  • Wu Y; National Institutes for Food and Drug Control, Beijing, 102629, PR China.
  • Huang L; National Institutes for Food and Drug Control, Beijing, 102629, PR China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, PR China.
  • Xu Y; Jiangxi Institute for Drug Control, Nanchang, Jiangxi, 330029, PR China.
  • Zhang Y; Chongqing Institute for Food and Drug Control, Chongqing, 401121, PR China.
  • Nie L; National Institutes for Food and Drug Control, Beijing, 102629, PR China; WHO Collaborating Center for Herbal Medicine (CHN-139), Beijing 102629, PR China. Electronic address: nielixing@163.com.
  • Kang S; National Institutes for Food and Drug Control, Beijing, 102629, PR China.
  • Wei F; National Institutes for Food and Drug Control, Beijing, 102629, PR China.
  • Ma S; Chinese Pharmacopeia Commission, Beijing, 100061, PR China. Electronic address: masc@chp.org.cn.
Food Chem ; 462: 140965, 2024 Aug 22.
Article de En | MEDLINE | ID: mdl-39197242
ABSTRACT
Perilla leaf oil (PLO) is a global premium vegetable oil with abundant nutrients and substantial economic value, rendering it susceptible to potential adulteration by unscrupulous entrepreneurs. The addition of cinnamon oil (CO) is one of the main adulteration avenues for illegal PLOs. In this study, new and real-time ambient mass spectrometric methods were developed to detect CO adulteration in PLO. First, atmospheric solids analysis probe tandem mass spectrometry combined with principal component analysis and principal component analysis-linear discriminant analysis was employed to differentiate between authentic and adulterated PLO. Then, a spectral library was established for the instantaneous matching of cinnamaldehyde in the samples. Finally, the results were verified using the SRM mode of ASAP-MS/MS. Within 3 min, the three methods successfully identified CO adulteration in PLO at concentrations as low as 5% v/v with 100% accuracy. The proposed strategy was successfully applied to the fraud detection of CO in PLO.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Food Chem Année: 2024 Type de document: Article Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Food Chem Année: 2024 Type de document: Article Pays de publication: Royaume-Uni