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Detection and quantification of bacterial spoilage in milk and pork meat using MALDI-TOF-MS and multivariate analysis
- Source :
- Analytical chemistry. 84(14)
- Publication Year :
- 2012
-
Abstract
- Microbiological safety is one of the cornerstones of quality control in the food industry. Identification and quantification of spoilage bacteria in pasteurized milk and meat in the food industry currently relies on accurate and sensitive yet time-consuming techniques which give retrospective values for microbial contamination. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), a proven technique in the field of protein and peptide identification and quantification, may be a valuable alternative approach for the rapid assessment of microbial spoilage. In this work we therefore developed MALDI-TOF-MS as a novel analytical approach for the assessment of food that when combined with chemometrics allows for the detection and quantification of milk and pork meat spoilage bacteria. To develop this approach, natural spoilage of pasteurized milk and raw pork meat samples incubated at 15 °C and at room temperature, respectively, was conducted. Samples were collected for MALDI-TOF-MS analysis (which took 4 min per sample) at regular time intervals throughout the spoilage process, with concurrent calculation and documentation of reference total viable counts using traditional microbiological methods (these took 2 days). Multivariate statistical techniques such as principal component discriminant function analysis, canonical correlation analysis, partial least-squares (PLS) regression, and kernel PLS (KPLS) were used to analyze the data. The results from MALDI-TOF-MS combined with PLS or KPLS gave excellent bacterial quantification results for both milk and meat spoilage, and typical root mean squared errors for prediction in test spectra were between 0.53 and 0.79 log unit. Overall these novel findings strongly indicate that MALDI-TOF-MS when combined with chemometric approaches would be a useful adjunct for routine use in the milk and meat industry as a fast and accurate viable bacterial detection and quantification method.
- Subjects :
- Food Safety
Meat
Food industry
Swine
Food spoilage
Pasteurization
Mass spectrometry
01 natural sciences
Analytical Chemistry
law.invention
Chemometrics
03 medical and health sciences
law
Meat spoilage
Animals
Food science
Least-Squares Analysis
030304 developmental biology
2. Zero hunger
0303 health sciences
Microbial Viability
Bacteria
business.industry
Chemistry
010401 analytical chemistry
food and beverages
0104 chemical sciences
Matrix-assisted laser desorption/ionization
Milk
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Pork meat
Multivariate Analysis
Food Microbiology
business
Subjects
Details
- ISSN :
- 15206882
- Volume :
- 84
- Issue :
- 14
- Database :
- OpenAIRE
- Journal :
- Analytical chemistry
- Accession number :
- edsair.doi.dedup.....68312fa845fc2b968d6bc494e76a1e09