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Non-invasive assessment of the bioburden of minced pork using a hand-held fluorescence device

Title data

Grimmler, Christina ; Kuhfuß, Tamara ; Heiden, Matthias ; Schmidt, Heinar:
Non-invasive assessment of the bioburden of minced pork using a hand-held fluorescence device.
In: Technisches Messen. Vol. 85 (2018) Issue 3 . - pp. 177-183.
ISSN 2196-7113
DOI: https://doi.org/10.1515/teme-2017-0092

Abstract in another language

To speed-up monitoring of the hygienic status of meat, fast and non-invasive measuring techniques are required. The feasibility of a hand-held fluorescence device (freshdetect) was investigated to quantify the bioburden of minced pork meat. In total, 144 minced pork samples from 18 batches were stored at 2°C for up to 8 days. Fluorescence spectra, L*a*b* colour and total viable mesophilic plate counts (TVC) were measured in parallel during this period. Correlation of the fluorescence spectra with log(TVC/g) using partial least squares regression yielded cross-validated predictions with R²cv = 0.72 and a prediction error of RMSECV = 0.97 log(TVC/g). Cross-validated limits of detection and quantification were determined as 1.03 and 3.38 log(TVC/g), respectively. This would allow for a quantification well below the alarm threshold of 5.7-6.7 log(TVC/g). The spectra correlated also well with storage time (R²cv = 0.81), but less strong with L*a*b* colour.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Bioanalytical Sciences and Food Analytics > Chair Bioanalytical Sciences and Food Analytics - Univ.-Prof. Dr. Andreas Römpp
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Molecular Biosciences
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Bioanalytical Sciences and Food Analytics
Graduate Schools
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT)
Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 22 Aug 2018 07:05
Last Modified: 07 Jul 2023 09:39
URI: https://eref.uni-bayreuth.de/id/eprint/45551