2015
DOI: 10.1016/j.compag.2015.07.018
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Prediction of K value for fish flesh based on ultraviolet–visible spectroscopy of fish eye fluid using partial least squares regression

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Cited by 16 publications
(9 citation statements)
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“…K values increased progressively (p < 0.05) over time for different treated samples because of the degradation of ATP to derivative compounds [1]. Generally, a K value of 60% fish muscle was taken as the highest acceptable level; as proposed by the European Commission [19]. Briefly, the K value of CK1 reached 62% at day 12, while the CK2, C1, and C2 group exceeded this limitation at day 16, 20, and 24, respectively.…”
Section: Quality Attributesmentioning
confidence: 98%
“…K values increased progressively (p < 0.05) over time for different treated samples because of the degradation of ATP to derivative compounds [1]. Generally, a K value of 60% fish muscle was taken as the highest acceptable level; as proposed by the European Commission [19]. Briefly, the K value of CK1 reached 62% at day 12, while the CK2, C1, and C2 group exceeded this limitation at day 16, 20, and 24, respectively.…”
Section: Quality Attributesmentioning
confidence: 98%
“…Performance of the calibration and prediction models were evaluated using several statistical parameters, including coefficient of correlation (r) between measured and predicted value [10], root mean square error of calibration (RMSEC), root mean square error of prediction (RMSEP) and number of latent variables [23]. A good calibration model should have a high correlation coefficient (rcal) and a low RMSEC.…”
Section: Evaluation Of the Calibration And Prediction Modelsmentioning
confidence: 99%
“…The average spectra were processed independently using different preprocessing methods including moving weighted average smoothing, normalization, S-G first-and second-order derivative, multiplicative scatter correction (MSC), and standard normal variate (SNV) in order to remove any irrelevant information such as high-frequency random noise, baseline drift, signal-to-background ratio, and others [23]. The averaging technique is used to reduce the number of wavelengths or to smooth the spectrum of tomatoes.…”
Section: Spectral Preprocessingmentioning
confidence: 99%
“…An RPD between 1.5 and 2 indicates that the calibration model can distinguish between low and high values of the response variable; a value between 2 and 2.5 means that quantitative predictions are possible, and an RPD value between 2.5 and 3.0 indicates an excellent prediction performance. On the other hand, a RER value of 10 or higher indicates excellent performance of the model in actual application 20,21 .…”
Section: Methodsmentioning
confidence: 99%