| Apostichopus japonicus Selenka has great economic value and high-quality nutrition value.With the improvement of people’s economic level and the gradual strengthening of health awareness,the consumption demand for sea cucumbers is gradually increasing.However,the quality of sea cucumbers vary greatly on the market.In addition,in the process of breeding sea cucumber,we often need to determination the component content.But the traditional experiment method is time-consuming and laborious whichimpeded the process of the breeding work.A rapid,efficient,non-destructive and convenient measure method is needed in breeding and identification.In this experiment,near-infrared spectroscopy was used to establish a variety of component models on dry tissue of sea cucumbers,and two different near-infrared spectrometers were compared.In the process of modeling,Mahalanobis distance and leverage-studentized residual values(Non-validation)for outliers,KS classification was used to divide the calibration and validation according to 2:1,comparing four kinds of pretreatment method,MSC,SNV,MSC + first derivative,SNV + first derivative.In the second chapter,spectral range was selected by Bi PLS tooptimize the model,the results show that:1.Establishment of Near Infrared Models of seven Components of Sea Cucumbers by Micro NIR 1700 JDSU,USA spectrometer.Polysaccharide,protein and ash can be predicted,the optimum pretreatment method is SNV + first derivative,MSC and SNV respectively.The final model of Rc2,Rcv2,Rp2,RMSEC,RMSECV and RMSEP were 0.888,0.2329,0.833,0.2857,0.863,0.2364;0.879,0.9336,0.831,1.1056,0.869,0.9259;0.946,0.7613,0.926,0.8893,0.900,0.8893,RPD were 2.67,2.89 and 3.21.Ash modeling obviously effect is good,can be used in the actual detection.And the content detection of polysaccharide,protein can be performed,but need to further improve the precision.What’s more,the RPD of crude fat,crude saponins,zinc and selenium are less than 2.5,each parameters are bad.2.Establishment of Near Infrared Models of seven Components of Sea Cucumbers by Antaris MX spectrometer,found that the protein and ash can be predicted and the optimum pretreatment method,respectively,is MSC,MSC.The final model of Rc2,Rcv2,Rp2,RMSEC,RMSECV and RMSEP were 0.973,0.6204,0.951,0.6204,0.891,0.6716;0.935,0.7020,0.917,0.7987,0.941,0.7987,RPD were 2.80,3.26.So ash can be used in the actual detection,protein content detection can be performed,but need to further improve the precision.But polysaccharides,crude fat,crude saponins,zinc and selenium prediction effect is poorer,RPD were less than 2.5.In addition,spectrum respectively be divided into 30,40,50,60 range,choose the optimal interval number.The model are improved,except crude saponins.3.Comparing two kinds of near infrared spectrometer,model using the Antaris MX spectrometer is better than 1700 JDSU Micro NIR,USA spectrometer.The composition of the predicted results are basically identical(except polysaccharide).4.Establishment of Near Infrared Models of three Components of individual Sea Cucumbers.The optimal pretreatment method of the protein was SNV + first derivative,the final model of Rc2,Rcv2,Rp2,RMSEC,RMSECV and RMSEP were 0.889,1.0875,0.875,1.1525,0.904,1.0608,RPD was 3.22 more than 3,modeling shows that effect is good,can be used in actual measurement,modeling of zinc and selenium is still bad.5.The parameters of individual dry sample are generally better than mixed dry sample for protein. |
