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Infrared Spectroscopy as a Rapid Method the Assessment of the Shelf-Life and Freshness of Refrigerated Rainbow Trout

https://doi.org/10.36107/spfp.2024.1.558

Abstract

Background: In the agro-industrial sectors, including fisheries, there is a growing focus on rapidly determining the composition and quality of food products. Traditional chemical methods are too slow for quick quality assessments. Spectral methods have become preferred for rapid analysis, although the spectral range suitable for determining the storage days of fish samples has not been thoroughly explored.

Purpose: To evaluate the shelf-life and freshness of refrigerated rainbow trout using mid-infrared spectroscopy.

Materials and Methods: Refrigerated rainbow trout steaks stored at +4 °C were examined. The fish were raised in an open tank at Lake Motkozero in the Vologda region. A mid-infrared FT-801 FTIR spectrometer with an attenuated total internal reflection (ATR) attachment was employed to determine the fish's shelf-life, freshness, and quality. The spectrum range spanned from 4000 to 700 cm-1 with a resolution of 4 cm-1, conducting 16 scans. Spectral data were analyzed using ZaIR 3.5 software, with measurements taken daily over a 16-day storage period.

Results: Mid-infrared spectroscopy effectively differentiated rainbow trout samples by storage day, with each day displaying a unique spectral signature. The spectral range of 1700–1500 cm-1 clearly distinguished between samples from the first and last days of storage (day 16), showing an increase in absorption intensity at wavelengths corresponding to amides and amino groups, indicative of biochemical changes due to spoilage.

Conclusion: This study's findings contribute to developing a new, rapid, and non-destructive method for assessing fish freshness, which is crucial for food safety control authorities and consumers. The methods developed hold significant potential for optimizing quality control processes in the food industry.

About the Authors

Daria Vilkova
Cherepovets State University
Russian Federation


Olga Novichenko
Cherepovets State University
Russian Federation


Maria Belova
Cherepovets State University
Russian Federation


Mikhail Kutuzov
Cherepovets State University
Russian Federation


Igor Nikitin
Cherepovets State University
Russian Federation


References

1. Abbas, O., Pissard, A., & Baeten, V. (2020). Near-infrared, mid-infrared, and Raman spectroscopy. In Chemical Analysis of Food (pp. 77–134). Elsevier. https://doi.org/10.1016/B978-0-12-813266-1.00003-6

2. Alexandrakis, D., Downey, G., & Scannell, A. G. M. (2012). Rapid non-destructive detection of spoilage of intact chicken breast muscle using near-infrared and fourier transform mid-infrared spectroscopy and multivariate statistics. Food and Bioprocess Technology, 5(1), 338–347. https://doi.org/10.1007/s11947-009-0298-4

3. Ammor, M. S., Argyri, A., & Nychas, G.-J. E. (2009). Rapid monitoring of the spoilage of minced beef stored under conventionally and active packaging conditions using Fourier transform infrared spectroscopy in tandem with chemometrics. Meat Science, 81(3), 507–514. https://doi.org/10.1016/j.meatsci.2008.10.015

4. Boughattas, F., Le, B., & Karoui, R. (2020). Mid infrared spectroscopy coupled with chemometric tools for qualitative analysis of canned tuna with sunflower medium. Journal of Food Composition and Analysis, 91, 103519. https://doi.org/10.1016/j.jfca.2020.103519

5. Ceylan, Z., Unal Sengor, G. F., & Yilmaz, M. T. (2018). Nanoencapsulation of liquid smoke/thymol combination in chitosan nanofibers to delay microbiological spoilage of sea bass (Dicentrarchus labrax) fillets. Journal of Food Engineering, 229, 43–49. https://doi.org/10.1016/j.jfoodeng.2017.11.038

6. Ellis, D. I., Broadhurst, D., & Goodacre, R. (2004). Rapid and quantitative detection of the microbial spoilage of beef by Fourier transform infrared spectroscopy and machine learning. Analytica Chimica Acta, 514(2), 193–201. https://doi.org/10.1016/j.aca.2004.03.060

7. ElMasry, G., Nakazawa, N., Okazaki, E., & Nakauchi, S. (2016). Non-invasive sensing of freshness indices of frozen fish and fillets using pretreated excitation-emission matrices. Sensors and Actuators, B: Chemical, 228, 237–250. https://doi.org/10.1016/j.snb.2016.01.032

8. Franceschelli, L., Berardinelli, A., Dabbou, S., Ragni, L., & Tartagni, M. (2021). Sensing technology for fish freshness and safety: A review. Sensors (Switzerland), 21(4), 1–24. https://doi.org/10.3390/s21041373

9. Freitas, J., Vaz-Pires, P., & Câmara, J. S. (2021). Quality Index Method for fish quality control: Understanding the applications, the appointed limits and the upcoming trends. Trends in Food Science & Technology, 111, 333–345. https://doi.org/10.1016/j.tifs.2021.03.011

10. Guizani, N., Rahman, M. S., Al-Ruzeiqi, M. H., Al-Sabahi, J. N., & Sureshchandran, S. (2014). Effects of brine concentration on lipid oxidation and fatty acids profile of hot smoked tuna (Thunnus albacares) stored at refrigerated temperature. Journal of Food Science and Technology, 51(3), 577–582. https://doi.org/10.1007/s13197-011-0528-4

11. Haris, P. I., & Severcan, F. (1999). FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media. Journal of Molecular Catalysis B: Enzymatic, 7(1–4), 207–221. https://doi.org/10.1016/S1381-1177(99)00030-2

12. Hassoun, A., & Karoui, R. (2016). Monitoring changes in whiting (Merlangius merlangus) fillets stored under modified atmosphere packaging by front face fluorescence spectroscopy and instrumental techniques. Food Chemistry, 200(200), 343–353. https://doi.org/10.1016/j.foodchem.2016.01.028

13. Karoui, R. (2018a). Spectroscopic technique: Fluorescence and Ultraviolet-Visible (UV-Vis) spectroscopies. In Modern techniques for food authentication (2nd ed., pp. 219-252). Elsevier Inc. https://doi.org/10.1016/b978-0-12-814264-6.00007-4

14. Karoui, R. (2018b). Spectroscopic technique: Mid-Infrared (MIR) and Fourier Transform Mid-Infrared (FT-MIR) spectroscopies (2nd ed., pp. 23-50). Elsevier Inc. https://doi.org/10.1016/b978-0-12-814264-6.00002-5

15. Karoui, R., & Hassoun, A. (2017). Efficiency of rosemary and basil essential oils on the shelf-life extension of Atlantic mackerel (Scomber scombrus) fillets stored at 2°C. Journal of AOAC International, 100(2), 335–344. https://doi.org/10.5740/jaoacint.16-0410

16. Karoui, R., Hassoun, A., & Ethuin, P. (2017). Front face fluorescence spectroscopy enables rapid differentiation of fresh and frozen-thawed sea bass (Dicentrarchus labrax) fillets. Journal of Food Engineering, 202, 89–98. https://doi.org/10.1016/j.jfoodeng.2017.01.018

17. Karoui, R., Lefur, B., Grondin, C., Thomas, E., Demeulemester, C., De Baerdemaeker, J., & Guillard, A. S. (2007). Mid-infrared spectroscopy as a new tool for the evaluation of fish freshness. International Journal of Food Science and Technology, 42(1), 57–64. https://doi.org/10.1111/j.1365-2621.2006.01208.x

18. Khodanazary, A. (2019). Freshness assessment of shrimp Metapenaeus affinis by quality index method and estimation of its shelf life. International Journal of Food Properties, 22(1), 309–319. https://doi.org/10.1080/10942912.2019.1580719

19. Lougovois, V.P., & Kyrana, V.R. (2005). Freshness quality and spoilage of chill-stored fish. In Riley A.P. (Ed.), Food policy, control and research ( pp.35-86). Nova Science Publishers.

20. Maulu, S., Nawanzi, K., Abdel-Tawwab, M., & Khalil, H. S. (2021). Fish nutritional value as an approach to children’s nutrition. Frontiers in Nutrition, 8. https://doi.org/10.3389/fnut.2021.780844

21. Pinilla, C. M. B., Brandelli, A., López-Caballero, M. E., Montero, P., & Gómez-Guillén, M. del C. (2020). Structural features of myofibrillar fish protein interacting with phosphatidylcholine liposomes. Food Research International, 137, 109687. https://doi.org/10.1016/j.foodres.2020.109687

22. Rostamzad, H., Shabanpour, B., Kashaninejad, M., & Shabani, A. (2011). Antioxidative activity of citric and ascorbic acids and their preventive effect on lipid oxidation in frozen persian sturgeon fillets. Latin American Applied Research, 41(2), 135–140.

23. Saraiva, C., Vasconcelos, H., & de Almeida, J. M. M. M. (2017). A chemometrics approach applied to Fourier transform infrared spectroscopy (FTIR) for monitoring the spoilage of fresh salmon (Salmo salar) stored under modified atmospheres. International Journal of Food Microbiology, 241, 331–339. https://doi.org/10.1016/j.ijfoodmicro.2016.10.038

24. Sone, I., Olsen, R. L., Dahl, R., & Heia, K. (2011). Visible/Near‐Infrared Spectroscopy Detects Autolytic Changes during Storage of Atlantic Salmon (S almo salar L.). Journal of Food Science, 76(3). https://doi.org/10.1111/j.1750-3841.2011.02062.x

25. Tito, N. B., Rodemann, T., & Powell, S. M. (2012). Use of near infrared spectroscopy to predict microbial numbers on Atlantic salmon. Food Microbiology, 32(2), 431–436. https://doi.org/10.1016/j.fm.2012.07.009

26. Vilkova, D., Chene, C., Kondratenko, E., & Karoui, R. (2021). A comprehensive review on the assessment of the quality and authenticity of the sturgeon species by different analytical techniques. Food Control, 133, 108648. https://doi.org/10.1016/j.foodcont.2021.108648

27. Vilkova, D., Sangaré, M., Egorov, M., & Karoui, R. (2023). Mid-infrared spectroscopy enabled rapid differentiation between fresh and frozen–thawed Sevruga (Acipenser stellatus) samples presenting different raw quality. European Food Research and Technology, 249(9), 2299–2310. https://doi.org/10.1007/s00217-023-04290-1

28. Yang, H., Yang, S., Kong, J., Dong, A., & Yu, S. (2015). Obtaining information about protein secondary structures in aqueous solution using Fourier transform IR spectroscopy. Nature Protocols, 10(3), 382–396. https://doi.org/10.1038/nprot.2015.024

29. Yu, H. D., Zuo, S. M., Xia, G., Liu, X., Yun, Y. H., & Zhang, C. (2020). Rapid and nondestructive freshness determination of tilapia fillets by a portable near-infrared spectrometer combined with chemometrics methods. Food Analytical Methods, 13(10), 1918–1928. https://doi.org/10.1007/s12161-020-01816-1


Review

For citations:


Vilkova D., Novichenko O., Belova M., Kutuzov M., Nikitin I. Infrared Spectroscopy as a Rapid Method the Assessment of the Shelf-Life and Freshness of Refrigerated Rainbow Trout. Storage and Processing of Farm Products. 2024;32(1). (In Russ.) https://doi.org/10.36107/spfp.2024.1.558

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