Classification of Microbial Defects in Milk Using a Dynamic Headspace Gas Chromatograph and Computer-Aided Data Processing. 1. Principal Component Similarity Analysis

There is a need for reliable objective tests for the detection of off-flavors of milk, some of which are caused by bacteriological growth. The objective of the study was to distinguish abnormal from normal milk samples using a low-cost headspace gas chromatograph and principal component similarity a...

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Veröffentlicht in:Journal of agricultural and food chemistry 1997-03, Vol.45 (3), p.733-742
Hauptverfasser: Horimoto, Yasumi, Lee, Karoline, Nakai, Shuryo
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container_title Journal of agricultural and food chemistry
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creator Horimoto, Yasumi
Lee, Karoline
Nakai, Shuryo
description There is a need for reliable objective tests for the detection of off-flavors of milk, some of which are caused by bacteriological growth. The objective of the study was to distinguish abnormal from normal milk samples using a low-cost headspace gas chromatograph and principal component similarity analysis. UHT-sterilized milk was inoculated with Pseudomonas fragi, Pseudomonas fluorescens, Bacillus subtilis, Enterobactor aerogenes, Lactococcus lactis, and a mixed culture (P. fragi:E. aerogenes:L. lactis = 1:1:1) to approximately 4.0 log10 CFU mL-1. The samples were stored at 4 °C for 10 days for P. fragi and P. fluorescens and 30 °C for 24 h for the remaining bacteria. A new multiavariate analysis technique, principal component similarity analysis, was capable of distinguishing milk samples inoculated with P. fragi, P. fluorescnes, L. lactis, E. aerogenes, and a mixed culture from uninoculated samples. Keywords: Dynamic headspace gas chromatography; principal component similarity analysis; mulivariate analysis; off-flavor; classification
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A new multiavariate analysis technique, principal component similarity analysis, was capable of distinguishing milk samples inoculated with P. fragi, P. fluorescnes, L. lactis, E. aerogenes, and a mixed culture from uninoculated samples. Keywords: Dynamic headspace gas chromatography; principal component similarity analysis; mulivariate analysis; off-flavor; classification</description><identifier>ISSN: 0021-8561</identifier><identifier>EISSN: 1520-5118</identifier><identifier>DOI: 10.1021/jf960337d</identifier><identifier>CODEN: JAFCAU</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>ALIMENTOS ; BACILLUS SUBTILIS ; Biological and medical sciences ; CONTROL DE CALIDAD ; CONTROLE DE QUALITE ; CULTURE TECHNIQUES ; ENTEROBACTER ; ENTEROBACTER AEROGENES ; FLAVEUR ; FLAVOR ; FLAVOUR ; FOOD ANALYSIS ; Food industries ; FOODS ; Fundamental and applied biological sciences. 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Principal Component Similarity Analysis</title><title>Journal of agricultural and food chemistry</title><addtitle>J. Agric. Food Chem</addtitle><description>There is a need for reliable objective tests for the detection of off-flavors of milk, some of which are caused by bacteriological growth. The objective of the study was to distinguish abnormal from normal milk samples using a low-cost headspace gas chromatograph and principal component similarity analysis. UHT-sterilized milk was inoculated with Pseudomonas fragi, Pseudomonas fluorescens, Bacillus subtilis, Enterobactor aerogenes, Lactococcus lactis, and a mixed culture (P. fragi:E. aerogenes:L. lactis = 1:1:1) to approximately 4.0 log10 CFU mL-1. The samples were stored at 4 °C for 10 days for P. fragi and P. fluorescens and 30 °C for 24 h for the remaining bacteria. A new multiavariate analysis technique, principal component similarity analysis, was capable of distinguishing milk samples inoculated with P. fragi, P. fluorescnes, L. lactis, E. aerogenes, and a mixed culture from uninoculated samples. Keywords: Dynamic headspace gas chromatography; principal component similarity analysis; mulivariate analysis; off-flavor; classification</description><subject>ALIMENTOS</subject><subject>BACILLUS SUBTILIS</subject><subject>Biological and medical sciences</subject><subject>CONTROL DE CALIDAD</subject><subject>CONTROLE DE QUALITE</subject><subject>CULTURE TECHNIQUES</subject><subject>ENTEROBACTER</subject><subject>ENTEROBACTER AEROGENES</subject><subject>FLAVEUR</subject><subject>FLAVOR</subject><subject>FLAVOUR</subject><subject>FOOD ANALYSIS</subject><subject>Food industries</subject><subject>FOODS</subject><subject>Fundamental and applied biological sciences. 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The samples were stored at 4 °C for 10 days for P. fragi and P. fluorescens and 30 °C for 24 h for the remaining bacteria. A new multiavariate analysis technique, principal component similarity analysis, was capable of distinguishing milk samples inoculated with P. fragi, P. fluorescnes, L. lactis, E. aerogenes, and a mixed culture from uninoculated samples. Keywords: Dynamic headspace gas chromatography; principal component similarity analysis; mulivariate analysis; off-flavor; classification</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/jf960337d</doi><tpages>10</tpages></addata></record>
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ispartof Journal of agricultural and food chemistry, 1997-03, Vol.45 (3), p.733-742
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source ACS Publications
subjects ALIMENTOS
BACILLUS SUBTILIS
Biological and medical sciences
CONTROL DE CALIDAD
CONTROLE DE QUALITE
CULTURE TECHNIQUES
ENTEROBACTER
ENTEROBACTER AEROGENES
FLAVEUR
FLAVOR
FLAVOUR
FOOD ANALYSIS
Food industries
FOODS
Fundamental and applied biological sciences. Psychology
LACTOCOCCUS LACTIS
LAIT
LAIT UHT
LECHE
LECHE UHT
MICROBIAL OFF-FLAVOR
MILK
Milk and cheese industries. Ice creams
MIXED CULTURES
PRODUIT ALIMENTAIRE
PSEUDOMONAS FLUORESCENS
PSEUDOMONAS FRAGI
QUALITY CONTROLS
RAW MILK
SABOR
TECHNIQUE DE CULTURE
TECNICAS DE CULTIVO
UHT MILK
title Classification of Microbial Defects in Milk Using a Dynamic Headspace Gas Chromatograph and Computer-Aided Data Processing. 1. Principal Component Similarity Analysis
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