Aims To develop an oxygen sensor-based method for testing total aerobic viable counts (TVC) in raw meat samples and cattle carcass swabs, which is rapid, simple, affordable, provides good sensitivity and analytical performance and allows on-site use. Methods and Results The test uses the same sample preparation procedure as the established plate counting TVC method for meat samples and carcasses, ISO4833-1:2013. After this liquid samples are transferred into standard 25-ml vials with built-in phosphorescent O-2 sensors and incubated on a block heater with hourly readings of sensor signals with a handheld reader, to determine signal threshold time (TT, hours) for each sample. The method is demonstrated with the quantification of TVC in industrial cuts of raw beef meat (CFU per g) and carcass swabs (CFU per cm(2)). Calibration curves were generated, which give the following analytical equations for calculating the TVC load in unknown samples from measured TT values: TVC [Log(CFU per cm(2))] = 7.83-0.73*TT(h) and TVC [Log(CFU per g)] = 8.74-0.70*TT(h) for the carcass swabs and meat samples respectively. The new tests show good correlation with the ISO methods, with correlation coefficients 0.85 and 0.83 respectively. The testing requires no dilutions, covers the ranges 2-7 Log(CFU per g) for the meat samples and 1-7 Log(CFU per cm(2)) for carcass swabs, and has time to result 1-10 h with faster detection of more contaminated samples. Conclusions The sensor-based testing demonstrates simplicity, high speed, sample throughput and automation. It can provide a straightforward replacement for the conventional TVC tests, which are time consuming, laborious and have time to result of 48-72 h. Significance and Impact of the Study The method(s) can be adopted by the meat industry and research labs, and used to improve microbial quality and safety of meat products and processes.

A sensor-based system for rapid on-site testing of microbial contamination in meat samples and carcasses

Santovito Elisa;
2021

Abstract

Aims To develop an oxygen sensor-based method for testing total aerobic viable counts (TVC) in raw meat samples and cattle carcass swabs, which is rapid, simple, affordable, provides good sensitivity and analytical performance and allows on-site use. Methods and Results The test uses the same sample preparation procedure as the established plate counting TVC method for meat samples and carcasses, ISO4833-1:2013. After this liquid samples are transferred into standard 25-ml vials with built-in phosphorescent O-2 sensors and incubated on a block heater with hourly readings of sensor signals with a handheld reader, to determine signal threshold time (TT, hours) for each sample. The method is demonstrated with the quantification of TVC in industrial cuts of raw beef meat (CFU per g) and carcass swabs (CFU per cm(2)). Calibration curves were generated, which give the following analytical equations for calculating the TVC load in unknown samples from measured TT values: TVC [Log(CFU per cm(2))] = 7.83-0.73*TT(h) and TVC [Log(CFU per g)] = 8.74-0.70*TT(h) for the carcass swabs and meat samples respectively. The new tests show good correlation with the ISO methods, with correlation coefficients 0.85 and 0.83 respectively. The testing requires no dilutions, covers the ranges 2-7 Log(CFU per g) for the meat samples and 1-7 Log(CFU per cm(2)) for carcass swabs, and has time to result 1-10 h with faster detection of more contaminated samples. Conclusions The sensor-based testing demonstrates simplicity, high speed, sample throughput and automation. It can provide a straightforward replacement for the conventional TVC tests, which are time consuming, laborious and have time to result of 48-72 h. Significance and Impact of the Study The method(s) can be adopted by the meat industry and research labs, and used to improve microbial quality and safety of meat products and processes.
2021
Istituto di Scienze delle Produzioni Alimentari - ISPA
carcass swabs
optical oxygen sensing
rapid microbial testing
raw meat spoilage
respirometric assays
total viable counts
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/442256
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