EN
TR
A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring
Öz
Monitoring the freshness of meat and fish is crucial for enhancing food safety for consumers and protecting public health. In this study, a paper sensor using bromothymol blue indicator sensitive to colour change was developed. The sensor performance was compared in solutions prepared with different dye amounts and different holding times. Studies were conducted on meat and fish, and colour changes were analysedanalyzed using both RGB and ΔE values. In the first sensors produced on fish that had not yet come into contact with food, RGB values resembled grey-greenish tones. In spoiled samples, the colour changes to reddish tones. RGB analysis of meat transitions from beige to reddish tones in intact samples and from beige in spoiled samples. RGB is a method that provides objective results in monitoring spoilage. The findings emphasize that colour changes are not merely visual differences but can also be used as a highly effective parameter in determining product condition. Furthermore, solutions containing higher BTB showed more pronounced and rapid colour changes, particularly in response to alkaline compounds formed during spoilage. The paper sensor developed for determining the freshness of meat and fish products offers a practical, low-cost, rapid, and intuitive alternative. The study contributes to the optimization of sensor systems using pH-sensitive synthetic dyes and presents RGB, L*, a*, and b*-based data.
Anahtar Kelimeler
Kaynakça
- [1] Dirpan A, Djalal M, Ainani AF. A Simple Combination of Active and Intelligent Packaging Based on Garlic Extract and Indicator Solution in Extending and Monitoring the Meat Quality Stored at Cold Temperature. Foods 2022;11. https://doi.org/10.3390/foods11101495.
- [2] Kuswandi B, Hasanah F, Pratoko DK, Kristiningrum N. Colorimetric Paper-Based Dual Indicator Label for Real-Time Monitoring of Fish Freshness. Food Technol Biotechnol 2022;60:499–508. https://doi.org/10.17113/ftb.60.04.22.7588.
- [3] Al Obaidi A, Haskaraca G, Ayhan Z, Gultekin E. Simulation and Validation of a Novel Colorimetric Three-Layer Intelligent Indicators With Different Binders to Monitor Freshness of Atlantic Bonito (Sarda sarda) Under Two Different Atmospheres. Packaging Technology and Science 2024;37:1131–44. https://doi.org/10.1002/pts.2849.
- [4] Liu D, Zhang C, Pu Y, Chen S, Liu L, Cui Z, et al. Recent Advances in pH-Responsive Freshness Indicators Using Natural Food Colorants to Monitor Food Freshness. Foods 2022;11. https://doi.org/10.3390/foods11131884.
- [5] Reichardt C. Solvents and Solvent Effects in Organic Chemistry. Wiley; 2002. https://doi.org/10.1002/3527601791.
- [6] Hamad. M. Adress. Hasan, Huda S. Muftah, Nada. Hemdan. Ahmed. Study the effect of some solvents on the λmax and absorbance of bromo phenol blue and phenol red indicators. Journal of Chemistry and Applications 2021:894–901. https://doi.org/10.36811/jca.2021.110034.
- [7] Hou H, Zhao Y, Li C, Wang M, Xu X, Jin Y. Single-cell pH imaging and detection for pH profiling and label-free rapid identification of cancer-cells. Sci Rep 2017;7. https://doi.org/10.1038/s41598-017-01956-1.
- [8] Cao L, Liang T, Zhang X, Liu W, Li J, Zhan X, et al. In-Situ pH-sensitive fibers via the anchoring of bromothymol blue on cellulose grafted with hydroxypropyltriethylamine groups via adsorption. Polymers (Basel) 2018;10. https://doi.org/10.3390/polym10070709.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Biyomekanik Mühendisliği
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
25 Aralık 2025
Yayımlanma Tarihi
25 Aralık 2025
Gönderilme Tarihi
3 Kasım 2025
Kabul Tarihi
28 Kasım 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 13 Sayı: 4
APA
Okumuş Sarı, M., & Keser, K. (2025). A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 13(4), 1526-1540. https://doi.org/10.29109/gujsc.1816260
AMA
1.Okumuş Sarı M, Keser K. A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring. GUJS Part C. 2025;13(4):1526-1540. doi:10.29109/gujsc.1816260
Chicago
Okumuş Sarı, Merve, ve Kübra Keser. 2025. “A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 13 (4): 1526-40. https://doi.org/10.29109/gujsc.1816260.
EndNote
Okumuş Sarı M, Keser K (01 Aralık 2025) A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 13 4 1526–1540.
IEEE
[1]M. Okumuş Sarı ve K. Keser, “A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring”, GUJS Part C, c. 13, sy 4, ss. 1526–1540, Ara. 2025, doi: 10.29109/gujsc.1816260.
ISNAD
Okumuş Sarı, Merve - Keser, Kübra. “A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 13/4 (01 Aralık 2025): 1526-1540. https://doi.org/10.29109/gujsc.1816260.
JAMA
1.Okumuş Sarı M, Keser K. A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring. GUJS Part C. 2025;13:1526–1540.
MLA
Okumuş Sarı, Merve, ve Kübra Keser. “A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, c. 13, sy 4, Aralık 2025, ss. 1526-40, doi:10.29109/gujsc.1816260.
Vancouver
1.Merve Okumuş Sarı, Kübra Keser. A Colorimetric Sensor Approach for Accurate Meat and Fish Freshness Monitoring. GUJS Part C. 01 Aralık 2025;13(4):1526-40. doi:10.29109/gujsc.1816260
