journal article·2025-06-28Open access

Attempts to Use Thermal Imaging to Assess the Microbiological Safety of Poultry Meat in Modified Atmosphere Packaging

Edyta Lipińska, Katarzyna Pobiega, Kamil Piwowarek, Piotr Koczoń, Stanisław Błażejak

Applied Sciences· Volume 15· Issue 13

Abstract

Meat provides a favorable environment for the growth of microorganisms, so increasingly advanced methods are being sought to ensure the rapid detection of their presence and determine the degree of contamination. These measures are intended to ensure consumer health and reduce food losses. The aim of this study was to evaluate the suitability of a thermal imaging camera and FT-IR spectrophotometry for microbiological quality control of poultry meat. This study used poultry meat fillets packaged in a modified atmosphere and stored at 4 °C for 10 days. During the successive days of storage, the following were determined: the total number of microorganisms, the count of Enterobacteriaceae, the temperature of the samples tested using a thermal imaging camera, and the spectral data contained in the spectra recorded by the FT technique of IR spectroscopy. The results were analyzed using Tukey’s test in the STATISTICA 13.3 statistical program with an assumed significance level of α ≤ 0.05. Spectral data obtained by the FT-IR method were subjected to interpretation using the T.Q. Analyst 8 program. This study found that the number of microorganisms increased between the 2nd and 10th days of storage for the poultry meat samples of four log CFU/g, leading to a temperature increase of 2.61 °C, and also, the intensities and frequencies of selected IR bands generated by vibrations of various groups of atoms changed, including functional groups present in the compounds contained in the tested samples. It was shown that modern techniques such as FT-IR spectroscopy and thermal imaging cameras have significant potential applications in the food industry for assessing the microbiological quality of food.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Chemical Sensor Technologies · Meat and Animal Product Quality · Spectroscopy and Chemometric Analyses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Food Biotechnology and Microbiology, Institute of Food Science, Warsaw University of Life Sciences, 02-776 Warsaw, Poland

Department of Chemistry, Institute of Food Science, Warsaw University of Life Sciences, 02-776 Warsaw, Poland

Funding

European Union

References (40)

Show source-provided references
1. Analysis of Consumers’ Preferences and Price Sensitivity to Native Chickens10.5851/kosfa.2017.37.3.469 ↗
2. Grzybowska-Brzezińska, M., Banach, J.K., and Grzywińska-Rąpca, M. (2023). Shaping Poultry Meat Quality Attributes in the Context of Consumer Expectations and Preferences—A Case Study of Poland. Foods, 12.10.3390/foods12142694 ↗
3. Shelf-Life of a Chilled Precooked Chicken Product Stored in Air and under Modified Atmospheres: Microbiological, Chemical, Sensory Attributes10.1016/j.fm.2005.08.004 ↗
4. Shelf Life of Ground Poultry Meat Stored under Modified Atmosphere10.1093/ps/79.12.1851 ↗
5. Effect of Aerobic and Modified Atmosphere Packaging on Quality Characteristics of Chicken Leg Meat at Refrigerated Storage10.1016/j.psj.2022.102170 ↗
6. Rouger, A., Tresse, O., and Zagorec, M. (2017). Bacterial Contaminants of Poultry Meat: Sources, Species, and Dynamics. Microorganisms, 5.10.3390/microorganisms5030050 ↗
7. The Uses and Abuses of Rapid Bioluminescence-Based ATP Assays10.1016/j.ijheh.2012.03.009 ↗
8. Lipińska, E., Pobiega, K., Piwowarek, K., and Błażejak, S. (2022). Research on the Use of Thermal Imaging as a Method for Detecting Fungal Growth in Apples. Horticulturae, 8.10.3390/horticulturae8100972 ↗
9. Lipińska, E., Pobiega, K., Piwowarek, K., and Hać-Szymańczuk, E. (2022). Research on Thermal Imaging Usage as a Method for Detecting Bacillus Subtilis Bacteria in Mortadella. Appl. Sci., 12.10.3390/app122111252 ↗
10. Detection of Pathogenic Gram Negative Bacteria Using Infrared Thermography10.1016/j.infrared.2012.07.011 ↗
11. Thermal Cameras and Applications: A Survey10.1007/s00138-013-0570-5 ↗
12. Cerqueira, L., and Miranda, J.M. (2022). Editorial for the Special Issue on Microfluidics and Lab-on-a-Chip Applications for Biosensing. Micromachines, 13.10.3390/mi13122060 ↗
13. Torres-Sangiao, E., Leal Rodriguez, C., and García-Riestra, C. (2021). Application and Perspectives of MALDI–TOF Mass Spectrometry in Clinical Microbiology Laboratories. Microorganisms, 9.10.3390/microorganisms9071539 ↗
14. Kadhem, A.J., Gentile, G.J., and de Cortalezzi, M.M.F. (2021). Molecularly Imprinted Polymers (MIPs) in Sensors for Environmental and Biomedical Applications: A Review. Molecules, 26.10.3390/molecules26206233 ↗
15. Rahman, M.H.U., Sikder, R., Tripathi, M., Zahan, M., Ye, T., Gnimpieba, Z.E., Jasthi, B.K., Dalton, A.B., and Gadhamshetty, V. (2024). Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications. Chemosensors, 12.10.3390/chemosensors12070140 ↗
16. Banakar, M., Hamidi, M., Khurshid, Z., Zafar, M.S., Sapkota, J., Azizian, R., and Rokaya, D. (2022). Electrochemical Biosensors for Pathogen Detection: An Updated Review. Biosensors, 12.10.3390/bios12110927 ↗
17. Thermal Imaging during Infrared Final Cooking of Semi-Processed Cylindrical Meat Product10.1016/j.infrared.2016.11.002 ↗
18. Emerging Non-Destructive Thermal Imaging Technique Coupled with Chemometrics on Quality and Safety Inspection in Food and Agriculture10.1016/j.tifs.2020.09.003 ↗
19. Kamnev, A.A., Dyatlova, Y.A., Kenzhegulov, O.A., Vladimirova, A.A., Mamchenkova, P.V., and Tugarova, A.V. (2021). Fourier Transform Infrared (FTIR) Spectroscopic Analyses of Microbiological Samples and Biogenic Selenium Nanoparticles of Microbial Origin: Sample Preparation Effects. Molecules, 26.10.3390/molecules26041146 ↗
20. Barrera Patiño, C.P., Soares, J.M., Blanco, K.C., and Bagnato, V.S. (2024). Machine Learning in FTIR Spectrum for the Identification of Antibiotic Resistance: A Demonstration with Different Species of Microorganisms. Antibiotics, 13.10.3390/antibiotics13090821 ↗
21. Sukhikh, S., Prosekov, A., Ivanova, S., Maslennikov, P., Andreeva, A., Budenkova, E., Kashirskikh, E., Tcibulnikova, A., Zemliakova, E., and Samusev, I. (2022). Identification of Metabolites with Antibacterial Activities by Analyzing the FTIR Spectra of Microalgae. Life, 12.10.3390/life12091395 ↗
22. Caleb, O.J., Mahajan, P.V., Al-Said, F.A.J., and Opara, U.L. (2012). Modified Atmosphere Packaging Technology of Fresh and Fresh-Cut Produce and the Microbial Consequences—A Review. Food Bioproc. Tech., 6.10.1007/s11947-012-0932-4 ↗
23. Effect of High-Oxygen and Oxygen-Free Modified Atmosphere Packaging on the Spoilage Process of Poultry Breast Fillets10.3382/ps/peu001 ↗
24. Preservation Technologies for Fresh Meat—A Review10.1016/j.meatsci.2010.04.033 ↗
25. Badania Nad Zastosowaniem Techniki Termowizyjnej Do Monitorowania Jakości Mikrobiologicznej Wędliny Drobiowej
26. Real-Time Quantification of Viable Bacteria in Liquid Medium Using Infrared Thermography10.1016/j.infrared.2011.08.004 ↗
27. Real-Time Quantification of Staphylococcus aureus in Liquid Medium Using Infrared Thermography10.1016/j.infrared.2011.11.004 ↗
28. Hou, F., Zhang, Y., Zhou, Y., Zhang, M., Lv, B., and Wu, J. (2022). Review on Infrared Imaging Technology. Sustainability, 14.10.3390/su141811161 ↗
29. Seeing ‘Cool’ and ‘Hot’—Infrared Thermography as a Tool for Non-Invasive, High-Throughput Screening of Arabidopsis Guard Cell Signalling Mutants10.1093/jxb/erh135 ↗
30. Identification of Microorganisms by FTIR Spectroscopy: Perspectives and Limitations of the Method10.1007/s00253-013-5087-3 ↗
31. Determination of Total Viable Count (TVC) in Chicken Breast Fillets by near-Infrared Hyperspectral Imaging and Spectroscopic Transforms10.1016/j.talanta.2012.11.042 ↗
32. Proteolytic and Lipolytic Changes in Beef Inoculated with Spoilage Microorganisms and Bioprotective Lactic Acid Bacteria10.1081/JFP-120016631 ↗
33. Rapid Non-Destructive Detection of Spoilage of Intact Chicken Breast Muscle Using Near-Infrared and Fourier Transform Mid-Infrared Spectroscopy and Multivariate Statistics10.1007/s11947-009-0298-4 ↗
34. Fourier Transform Infrared Spectroscopy Enables Rapid Differentiation of Fresh and Frozen/Thawed Chicken10.1016/j.foodcont.2015.08.016 ↗
35. Thermal Imaging and Computer Vision Technologies for the Enhancement of Pig Husbandry: A Review10.5187/jast.2024.e4 ↗
36. Reporting of Thermography Parameters in Biology: A Systematic Review of Thermal Imaging Literature10.1098/rsos.181281 ↗
37. Vollmer, M., and Möllmann, K. (2017). Fundamentals of Infrared Thermal Imaging, John Wiley & Sons, Ltd.10.1002/9783527693306 ↗
38. Yuan, W., and Hua, W. (2022). A Case Study of Vignetting Nonuniformity in UAV-Based Uncooled Thermal Cameras. Drones, 6.10.3390/drones6120394 ↗
39. McManus, R., Boden, L.A., Weir, W., Viora, L., Barker, R., Kim, Y., McBride, P., and Yang, S. (2022). Thermography for Disease Detection in Livestock: A Scoping Review. Front. Vet. Sci., 9.10.3389/fvets.2022.965622 ↗
40. Thermography, a New Approach in Food Science Studies: A Review10.15406/mojfpt.2016.02.00041 ↗