Literature DB >> 10563947

SPME-MS-MVA as an electronic nose for the study of off-flavors in milk.

R T Marsili1.   

Abstract

A new technique using solid-phase microextraction, mass spectrometry, and multivariate analysis (SPME-MS-MVA) was developed for the study of off-flavors in milk. The analytical column of a GC/MS system was replaced with a 1-m deactivated fused-silica column, which served as a transfer line to deliver volatiles extracted from milk samples with a Carboxen-SPME fiber to the mass spectrometer. Mass fragmentation data resulting from the unresolved milk volatile components were subjected to MVA. Principal component analysis based on SPME-MS-MVA provided rapid differentiation of control reduced-fat milk (2% butterfat content) samples from reduced-fat milk samples abused by light, heat, copper, and microbial contamination. The three psychrotrophic bacteria studied included Pseudomonas fluorescens, Pseudomonas aureofaciens, and Pseudomonas putrefaciens. SPME-MS-MVA is rapid and offers significant advantages over commercial electronic nose instruments currently being used as quality assurance tools to differentiate normal-tasting food and beverage samples from those containing off-flavors and malodors.

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Year:  1999        PMID: 10563947     DOI: 10.1021/jf9807925

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Comparison of SPME Methods for Determining Volatile Compounds in Milk, Cheese, and Whey Powder.

Authors:  Michael H Tunick; Susan K Iandola; Diane L Van Hekken
Journal:  Foods       Date:  2013-11-27

2.  HS-SPME-MS-Enose Coupled with Chemometrics as an Analytical Decision Maker to Predict In-Cup Coffee Sensory Quality in Routine Controls: Possibilities and Limits.

Authors:  Erica Liberto; Davide Bressanello; Giulia Strocchi; Chiara Cordero; Manuela Rosanna Ruosi; Gloria Pellegrino; Carlo Bicchi; Barbara Sgorbini
Journal:  Molecules       Date:  2019-12-10       Impact factor: 4.411

  2 in total

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