ZHANG Yu-hua, MENG Yi, XU Li-dan, CHEN Dong-jie, ZHANG Yong-mei, ZHANG Ying-long. Research of detection of ribbonfish freshness based on NIR technique[J]. Science and Technology of Food Industry, 2013, (19): 281-286. DOI: 10.13386/j.issn1002-0306.2013.19.031
Citation: ZHANG Yu-hua, MENG Yi, XU Li-dan, CHEN Dong-jie, ZHANG Yong-mei, ZHANG Ying-long. Research of detection of ribbonfish freshness based on NIR technique[J]. Science and Technology of Food Industry, 2013, (19): 281-286. DOI: 10.13386/j.issn1002-0306.2013.19.031

Research of detection of ribbonfish freshness based on NIR technique

  • Quantitative analysis models of ribbonfish TVBN, pH and total numbers of colony were established by Fourier transform near-infrared spectrum (NIR) and Partial Least Squares (PLS) .The results showed that correlation coefficient (r) of calibration set of TVBN, pH and total numbers of colony was respectively 0.9874, 0.9315 and 0.9990.RMSEC was respectively 0.810, 0.0961 and 0.0344.RMSECV was respectively 1.81, 0.148 and 0.459.The r of validation set was respectively 0.960, 0.923 and 0.994.RMSEP was respectively 5.178, 0.333 and 0.823.The research showed that applying NIR to detect ribbonfish freshness was viable, which provided theoretical basis for fast detection of fish freshness.
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