Study of Malus Asiatica Nakai’s firmness during different shelf lives based on visible/near-infrared spectroscopy

Jianxin Xue, Shujuan Zhang, Haixia Sun, Jingbo Zhou
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引用次数: 10

Abstract

The feasibility of applying rapid and non-destructive analysis based on Visible/ Near-Infrared Spectroscopy (VIS/NIR spectrometer) in detecting Malus Asiatica Nakai’s firmness during different shelf lives was discussed in this manuscript. Based on the best preprocessing technique found for each method, calibration models established by Partial Least-Square (PLS), Principal Component Regression (PCR), and Least Squares-Support Vector Machine (LS-SVM) were compared. The optimal models for firmness of Malus Asiatica Nakai were obtained by PLS with SNV as the best pretreatment. On the 1st day of shelf life, the correlation coefficients of prediction (Rp) and the Root-Mean-Square Errors of Prediction (RMSEP) were 0.7999 and 0.7994, respectively. On the 4th day of shelf life, the indexes were 0.7494 and 0.5856. But with the extension of shelf life, weightlessness rate of Malus Asiatica Nakai was reduced, the mealiness phenomenon became serious, quality had dropped sharply, hence the research of Malus Asiatica Nakai became insignificant. Results showed that, the potential of non-destructive measure for predicting accepted fruit parameters enabled the determination of optimum harvest date and fruit quality in different shelf lives.

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基于可见/近红外光谱的不同保质期亚洲海棠硬度研究
本文讨论了采用可见光/近红外光谱(VIS/NIR光谱仪)快速无损分析方法检测不同保质期亚洲海棠硬度的可行性。根据每种方法的最佳预处理技术,比较了偏最小二乘(PLS)、主成分回归(PCR)和最小二乘-支持向量机(LS-SVM)建立的校准模型。以SNV为最佳预处理,利用PLS获得了亚洲海棠硬度的最优模型。在保质期第1天,预测相关系数(Rp)和预测均方根误差(RMSEP)分别为0.7999和0.7994。在保质期第4天,该指数分别为0.7494和0.5856。但随着货架期的延长,中海棠失重率降低,粉化现象严重,品质急剧下降,因此对中海棠的研究变得微不足道。结果表明,利用非破坏性方法预测可接受的果实参数,可以确定不同保质期的最佳采收期和果实品质。
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Mathematical and Computer Modelling
Mathematical and Computer Modelling 数学-计算机:跨学科应用
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