Research Article

Development of prediction models to estimate the total number of mesophilic aerobic and lactic acid bacteria of squid rings that were cooked before marinating

Volume: 39 Number: 4 December 15, 2022
TR EN

Development of prediction models to estimate the total number of mesophilic aerobic and lactic acid bacteria of squid rings that were cooked before marinating

Abstract



This study was conducted in order to develop different statistical models for estimating the bacterial count of squid rings marinated with lemon juice and mineral water after cooking. The marination ratios and times were as follows: (10:90; 90:10; 50:50; 100:100/100 g squid ring) and (1, 3, 6, 12, 24, 48 and 72 h), respectively. The effects of marination ratios and times on the microbiological and sensory changes of the cooked squid rings were observed at 4°C. Pathogenic bacteria (Vibrio spp., Staphylococcus aureus and Escherichia coli) were not found in the cooked (C) and cooked marinated (CM) squid rings in the present study. The TMC (total mesophilic aerobic bacteria counts) of all groups were determined as consumable at 72 h, whereas the TMC of C and CM samples (C7, CM7, CM14, CM21, CM28) increased to 5.92, 5.83, 5.71, 5.57 and 5.42 log cfu/g, respectively. Regression models were created to estimate the TMC and lactic acid bacteria count (LBC) of cooked squid rings during the marination process at 4°C to determine the increasing rates of bacterial growth of samples. As a result of this study; when compared with Model I and Model II; both of them can be preferred for predicting the TMC of C and CM samples. The variability in the TMC of C and CM squid samples was obtained as 93% in Model I, whereas the variability in the TMC of these samples was observed as 91% in Model II. So, these two models performed well, and they can be used for predicting the TMC of C and CM samples. Additionally, Model III was also developed for estimating the prediction value of LBC of cooked squid samples during the marination process at 4°C. This model was also determined very good performance (86%) to estimate the predicting values of LBC and it can be very essential together used with Model I or Model II for marinated fishery products to estimate the real shelf-life.


Keywords

Supporting Institution

Ege Üniversitesi Rektörlüğü Bilimsel Araştırma Projeleri Koordinatörlüğü

Project Number

FGA-2019-20561

Thanks

This study was supported by Ege University Scientific Research Projects Coordination Unit. Project Number: FGA-2019-20561.

References

  1. Andrighetto, C., Lombardi, A., Ferrati, M., Guidi, A., Corrain, C., & Arcangeli, G. (2009). Lactic acid bacteria biodiversity in Italian marinated seafood salad and their interactions on the growth of Listeria monocytogenes. Food Control, 20, 462-468. DOI: 10.1016/j.foodcont.2008.07.016
  2. Anonymous (2000). Food Microbiology and Applications. Ankara University Faculty of Agriculture Department of Food Engineering, Ankara, Türkiye (in Turkish). Baumgart, J., Firnhaber, J., & Spicher, G. (1986). Mikrobiologische Untersuchung von Lebensmitteln. Behr’s Verlag, Hamburg- Germany.
  3. Blackburn, C.W. (2000). The Stability and Shelf-life of Food. In: 3-Modelling shelf life. Woodhead Publishing Series in Food Science Technology and Nutrition, 55-78. ISBN:978-0-08-100435-7. DOI: 10.1533/9781855736580.1.55
  4. Bongiorno, T., Tulli, F., Comi, G., Sensidoni, A., Andyanto, D., & Lacumin, L., (2018). Sous vide cook-chill mussel (Mytilus galloprovincialis): evaluation of chemical, microbiological and sensory quality during chilled storage (3°C). LWT Food Science and Technology, 91, 117-124. DOI: 10.1016/j.lwt.2017.12.005
  5. Bulat, F.N., Kılınç, B., & Atalay, S.D. (2020). Microbial Ecology of Different Sardine Parts Stored at Different Temperatures and The Development of Prediction Models. Food Bioscience, 38, 100770. DOI: 10.1016/j.fbio.2020.100770
  6. Collignan, A., & Montet, D. (1998). Tenderizing squid mantle by marination at different pH and Temperature Levels. LWT-Food Science and Technology, 31(7-8), 673-679. DOI: 10.1006/fstl.1998.0423
  7. Dalgaard, P. (2002). Safety and Quality Issues in Fish Processing. In: 12-Modelling and predicting the shelf-life of seafood. Woodhead Publishing Series in Food Science, Technology and Nutrition, 191-219. DOI: 10.1533/9781855736788.2.191
  8. Dalgaard, P., Mejlholm, O., & Huss, H.H. (1997). Application of an iterative approach for development of a microbial model predicting the shelf-life of packed fish. International Journal of Food Microbiology, 38, 169-179. DOI: 10.1016/s0168-1605(97)00101-3

Details

Primary Language

English

Subjects

Food Engineering

Journal Section

Research Article

Publication Date

December 15, 2022

Submission Date

May 6, 2022

Acceptance Date

September 27, 2022

Published in Issue

Year 2022 Volume: 39 Number: 4

APA
Kılınç, B., Bulat, F. N., & Demir Atalay, S. (2022). Development of prediction models to estimate the total number of mesophilic aerobic and lactic acid bacteria of squid rings that were cooked before marinating. Ege Journal of Fisheries and Aquatic Sciences, 39(4), 316-325. https://doi.org/10.12714/egejfas.39.4.07

Cited By