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Determination of Total Viable Count in Rainbow-Trout Fish Fillets Based on Hyperspectral Imaging System and Different Variable Selection and Extraction of Reference Data Methods

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Abstract

The aims of this study were to investigate the effect of different reference data extraction (colony-counting) and selection variable methods (Regression Coefficient: RC; Forward and Stepwise Multiple Regression: FMR and SMR) on the performance of PLSR and MLR model to predict TVC value in rainbow-trout fish fillets. TVC values were measured based on manual and digital image (OpenCFU, IMJ, and Photoshop) counting methods. The most and lowest prediction powers were obtained for Photoshop-PLSR and OpenCFU-PLSR, respectively (R2p = 0.873 and 0.815; RMSEP = 0.761 and 0.884 Log10CFU/g). In simplified-model FMR-MLR has superior performance (R2p = 0.89 and RMSEP = 0.65 Log10CFU/g). In simplified PLSR model group, RC-PLSR showed better performance (R2p = 0.866 and RSMEP = 0.782). This distribution map of TVC load was generated by transferring the FMR-Photoshop-MLR model to each pixel of the images. HSI technique revealed a great potential to determine TVC of rainbow-trout fillets and the type of colony counting method influenced on prediction power of the model.

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Acknowledgments

We appreciate all members of Seafood Processing Research Group (Shiraz, Iran) for providing all the facilities and equipment to conduct this research. Authors are thankful to Mr. ALi Balouch for technical assistance.

Funding

This study was funded by Shiraz University of Iran (Grant Number: GR-AGR-56).

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Authors and Affiliations

  1. Department of Food Science and Technology & Seafood Processing Research Group, School of Agriculture, Shiraz University, PO Box: 71441-65186, Shiraz, Iran

    Sara Khoshnoudi-Nia & Marzieh Moosavi-Nasab

  2. Department of Biosystems Engineering & Seafood Processing Research Group, School of Agriculture, Shiraz University, Shiraz, Iran

    Seyed Mehdi Nassiri

  3. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

    Zohreh Azimifar

Authors
  1. Sara Khoshnoudi-Nia
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  2. Marzieh Moosavi-Nasab
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  3. Seyed Mehdi Nassiri
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  4. Zohreh Azimifar
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Correspondence to Marzieh Moosavi-Nasab.

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Sara Khoshnoudi-nia declares that she has no conflict of interest. Marzieh Moosavi-Nasab declares that she has no conflict of interest. Seyed Mehdi Nasiri declares that he has no conflict of interest. Zohre Azimifar declares that she has no conflict of interest.

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Khoshnoudi-Nia, S., Moosavi-Nasab, M., Nassiri, S.M. et al. Determination of Total Viable Count in Rainbow-Trout Fish Fillets Based on Hyperspectral Imaging System and Different Variable Selection and Extraction of Reference Data Methods. Food Anal. Methods 11, 3481–3494 (2018). https://doi.org/10.1007/s12161-018-1320-0

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