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Issue 24, 2014
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Rapid and nondestructive evaluation of fish freshness by near infrared reflectance spectroscopy combined with chemometrics analysis

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Abstract

Rapid and nondestructive measurement of freshness is essential for the control of fish and the quality and safety of its products. In this study, K value was measured by high performance liquid chromatography (HPLC) and employed as an index of fish freshness. The prediction models of the silver chub freshness were developed using Fourier Transform Near Infrared Reflectance Spectroscopy (FT-NIRS) with Several Partial Least Squares (PLS, i-PLS, Si-PLS), Support Vector Machines Regression (SVMR) and Synergy interval plus Support Vector Machine Regression leading to Si-SVMR. By comparison, the performance of Si-SVMR model was superior to the others for the prediction of K value, where RMSECV = 0.027095 and Rc = 95.59% for the calibration set, whereas RMSEP = 0.036525 and Rp = 93.74% for the prediction set. The results indicated that FT-NIR spectroscopy together with Si-SVMR model could be a reliable method for the detection of fish freshness.

Graphical abstract: Rapid and nondestructive evaluation of fish freshness by near infrared reflectance spectroscopy combined with chemometrics analysis

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Publication details

The article was received on 04 Aug 2014, accepted on 14 Oct 2014 and first published on 15 Oct 2014


Article type: Paper
DOI: 10.1039/C4AY01839G
Citation: Anal. Methods, 2014,6, 9675-9683
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    Rapid and nondestructive evaluation of fish freshness by near infrared reflectance spectroscopy combined with chemometrics analysis

    R. Ding, X. Huang, F. Han, H. Dai, E. Teye and F. Xu, Anal. Methods, 2014, 6, 9675
    DOI: 10.1039/C4AY01839G

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