| Title: | A comparison of electronic nose and gas chromatography-mass spectrometry on discrimination and prediction of ochratoxin A content in Aspergillus carbonarius cultured grape-based medium |
| Author(s): | Zhang X; Li M; Cheng Z; Ma L; Zhao L; Li J; |
| Address: | "College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; Inspection & Testing Center for Agricultural Products Quality, Ministry of Agriculture, Beijing 100083, China; Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture, Beijing 100083, China. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China. Electronic address: lijingming@cau.edu.cn" |
| DOI: | 10.1016/j.foodchem.2019.05.124 |
| ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
| Abstract: | "This study investigated discrimination and prediction of ochratoxin A (OTA) in three Aspergillus carbonarius strains cultured grape-based medium using E-nose technology and GC-MS analysis. Results showed that these strains cultured medium samples were divided into four groups regarding their log 10 OTA value using an equispaced normal distribution analysis. Partial least squares-discriminant analysis (PLS-DA) revealed that GC-MS PLS-DA model only separated the low OTA level medium samples from the rest OTA level samples, whereas all the OTA level samples were segregated from each other using E-nose PLS-DA model. Partial least squares regression (PLSR) analysis indicated that an excellent prediction performance was established on the accumulation of OTA in these medium samples using E-nose PLSR, whereas GC-MS PLSR model showed a screening performance on the OTA formation. These indicated that E-nose analysis could be a reliable method on discriminating and predicting OTA in A. carbonarius strains under grape-based medium" |
| Keywords: | Aspergillus/genetics/growth & development/*metabolism Discriminant Analysis Electronic Nose Gas Chromatography-Mass Spectrometry/*methods Least-Squares Analysis Ochratoxins/*analysis Vitis/*metabolism Volatile Organic Compounds/analysis/chemistry Aspergil; |
| Notes: | "MedlineZhang, Xiaoxu Li, Menghua Cheng, Zhan Ma, Liyan Zhao, Longlian Li, Jingming eng England 2019/06/30 Food Chem. 2019 Nov 1; 297:124850. doi: 10.1016/j.foodchem.2019.05.124. Epub 2019 May 18" |
