Document Detail

Rapid and quantitative detection of the microbial spoilage in milk using Fourier transform infrared spectroscopy and chemometrics.
MedLine Citation:
PMID:  18810291     Owner:  NLM     Status:  MEDLINE    
Microbiological safety plays a very significant part in the quality control of milk and dairy products worldwide. Current methods used in the detection and enumeration of spoilage bacteria in pasteurized milk in the dairy industry, although accurate and sensitive, are time-consuming. FT-IR spectroscopy is a metabolic fingerprinting technique that can potentially be used to deliver results with the same accuracy and sensitivity, within minutes after minimal sample preparation. We tested this hypothesis using attenuated total reflectance (ATR), and high throughput (HT) FT-IR techniques. Three main types of pasteurized milk - whole, semi-skimmed and skimmed - were used and milk was allowed to spoil naturally by incubation at 15 degrees C. Samples for FT-IR were obtained at frequent, fixed time intervals and pH and total viable counts were also recorded. Multivariate statistical methods, including principal components-discriminant function analysis and partial least squares regression (PLSR), were then used to investigate the relationship between metabolic fingerprints and the total viable counts. FT-IR ATR data for all milks showed reasonable results for bacterial loads above 10(5) cfu ml(-1). By contrast, FT-IR HT provided more accurate results for lower viable bacterial counts down to 10(3) cfu ml(-1) for whole milk and, 4 x 10(2) cfu ml(-1) for semi-skimmed and skimmed milk. Using FT-IR with PLSR we were able to acquire a metabolic fingerprint rapidly and quantify the microbial load of milk samples accurately, with very little sample preparation. We believe that metabolic fingerprinting using FT-IR has very good potential for future use in the dairy industry as a rapid method of detection and enumeration.
Nicoletta Nicolaou; Royston Goodacre
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-07-11
Journal Detail:
Title:  The Analyst     Volume:  133     ISSN:  1364-5528     ISO Abbreviation:  Analyst     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-09-23     Completed Date:  2009-01-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372652     Medline TA:  Analyst     Country:  England    
Other Details:
Languages:  eng     Pagination:  1424-31     Citation Subset:  IM    
School of Chemistry and Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester, UKM1 7DN.
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MeSH Terms
Bacteria / chemistry*
Bacterial Proteins / analysis*
Colony Count, Microbial
Data Interpretation, Statistical
Food Microbiology*
Milk / microbiology*
Multivariate Analysis
Spectroscopy, Fourier Transform Infrared / methods
Reg. No./Substance:
0/Bacterial Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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