Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren

A portable 671 nm Raman sensor system for rapid meat spoilage identification

Title data

Sowoidnich, Kay ; Schmidt, Heinar ; Kronfeldt, Heinz-Detlef ; Schwägele, Fredi:
A portable 671 nm Raman sensor system for rapid meat spoilage identification.
In: Vibrational Spectroscopy. Vol. 62 (September 2012) . - pp. 70-76.
ISSN 0924-2031

Project information

Project title:
Project's official title
Project's id
Forschungsstelle für Nahrungsmittelqualität (ForN) der Universität Bayreuth am Standort Kulmbach
No information
Innovative Konzepte zur prozessbegleitenden Charakterisierung von Lebensmitteln auf Basis mikrosystemtechnischer Detektorvarianten, Teilvorhaben: Einsatzmöglichkeit Raman-spektroskoptischer mikrosystemtechnischer in-situ Verfahren

Project financing: Europäische Strukturfonds

Abstract in another language

This paper presents a portable Raman sensor system based on a miniaturized optical bench with integrated 671 nm microsystem diode laser as excitation light source for the rapid in situ detection of meat spoilage. The system comprises three main components. A handheld measurement head with a dimension of 210 mm × 240 mm × 60 mm containing a laser driver electronics board, the Raman optical bench, and a battery pack as power supply serves for excitation as well as collection of the Raman signals in backscattering geometry. The signal detection is realized by a custom-designed miniature spectrometer with an optical resolution of 8 cm⁻¹ and a dimension of 200 mm × 190 mm × 70 mm which is fiber-optically connected to the measurement head. To control the spectrometer as well as for data storage a netbook is applied. To point out the ability of the sensor system for the rapid identification of meat spoilage porcine musculus longissimus dorsi (LD) and musculus semimembranosus (SM) were used as test samples. Stored refrigerated at 5 °C the meat cuts were investigated in time-dependent measurement series up to 3 weeks after slaughter. Meat Raman spectra with an integration time of 10 s can be detected with an excitation laser power of 100 mW at the sample. The spectral changes of the Raman data set during storage were analyzed by principal components analysis. Specific periods of age could be discriminated in the Raman spectra which correlate very well with bacterial growth kinetics determined by microbial reference analyses. Thus, fresh meat with low bacterial load can be identified and a discrimination of spoiled samples exceeding the threshold of 10⁶ cfu/cm² around day 7 post-mortem for both examined meat cuts was possible.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Portable Raman sensor; Microsystem diode laser; Meat spoilage detection; In situ; Principal components analysis
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Food and Health Sciences
Research Institutions
Research Institutions > Research Units
Research Institutions > Research Units > Forschungsstelle für Nahrungsmittelqualität - ForN
Result of work at the UBT: Yes
DDC Subjects: 500 Science
500 Science > 570 Life sciences, biology
Date Deposited: 01 Apr 2015 09:28
Last Modified: 28 Jan 2016 11:15