Volatilomic Profiling of <i>Citrus</i> Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning-An Alternative Authentication Approach.

Brendel, Rebecca; Schwolow, Sebastian; Rohn, Sascha; Weller, Philipp

Volatilomic Profiling of Citrus Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning-An Alternative Authentication Approach.

Brendel, Rebecca; Schwolow, Sebastian; Rohn, Sascha; Weller, Philipp.

Affiliation

Brendel R; Institute for Instrumental Analytics and Bioanalytics, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany.
Schwolow S; Institute of Food Chemistry, Hamburg School of Food Science, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.
Rohn S; Institute for Instrumental Analytics and Bioanalytics, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany.
Weller P; Institute of Food Chemistry, Hamburg School of Food Science, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.

J Agric Food Chem ; 69(5): 1727-1738, 2021 Feb 10.

Article in En | MEDLINE | ID: mdl-33527826

Subject(s)

Citrus/chemistry; Fruit and Vegetable Juices/analysis; Gas Chromatography-Mass Spectrometry/methods; Volatile Organic Compounds/chemistry; Citrus/classification; Discriminant Analysis; Fruit and Vegetable Juices/classification; Machine Learning; Principal Component Analysis

Key words

Citrus juices; authentication; dual-detection HS-GC-MS-IMS; ion mobility spectrometry; machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Citrus / Volatile Organic Compounds / Fruit and Vegetable Juices / Gas Chromatography-Mass Spectrometry Type of study: Diagnostic_studies / Evaluation_studies / Prognostic_studies Language: En Journal: J Agric Food Chem Year: 2021 Document type: Article Affiliation country: Germany

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