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水蜜桃货架期内糖度的近红外光谱检测

潘磊庆 刘明 韩东海 陈卓 屠康

南京农业大学学报2013,Vol.36Issue(4):116-120,5.
南京农业大学学报2013,Vol.36Issue(4):116-120,5.DOI:10.7685/j.issn.1000-2030.2013.04.019

水蜜桃货架期内糖度的近红外光谱检测

Detection of the sugar content of juicy peach during shelf life by near infrared spectroscopy technology

潘磊庆 1刘明 1韩东海 2陈卓 2屠康1

作者信息

  • 1. 南京农业大学食品科技学院,江苏南京210095
  • 2. 中国农业大学食品科学与营养工程学院,北京100083
  • 折叠

摘要

Abstract

In this paper,the Fourier near infrared spectroscopy technology was used to explore nondestructive testing methods to detect the sugar content of juicy peach during shelf life.Four pre-processing methods i.e.mutiplicative scatter correction,transformation of standard normal variate,Savitzky-Golay first derivative and Savitzky-Golay smoothing were used and a model was set by the partial least square (PLS) method.On this basis,the correlations between the values of original spectrum after the pretreatment and the sugar content of peach were analyzed,based on which the suitable modeling bands were selected.The results showed that multiplicative scatter correction,Savitzky-Golay first derivative and Savitzky-Golay smoothing combination treatment could effectively eliminate the phenomenon such as spectral baseline shift and migration,and it could improve signal-to-noise ratio and construct the best predicted model.In order to raise the operating speed,the absolute value threshold of correlation coefficient was 0.55 and the number of wavelengths was 389.Then the model also showed better predicted results,the correlation coefficient (r)of calibration and validation model were 0.860 and 0.853 respectively,and the root mean square error of cross validation (RMSECV)and the root mean square error of prediction(RMSEP)were 0.651 °Brix and 0.732 °Brix respectively.In addition,the models based on PLS-NIR,PCA-NIR,PLSBPANN-NIR,PCA-BPANN-NIR and PCA-SVM-NIR were compared with each other,and the model based on PLS-NIR was the best.

关键词

近红外光谱/水蜜桃/糖度/货架期/检测

Key words

near infrared spectroscopy /juicy peaches / sugar content / shelf life / detection

分类

农业科技

引用本文复制引用

潘磊庆,刘明,韩东海,陈卓,屠康..水蜜桃货架期内糖度的近红外光谱检测[J].南京农业大学学报,2013,36(4):116-120,5.

基金项目

国家自然科学基金项目(31101282) (31101282)

中央高校基本科研业务费专项资金项目(KYZ201120) (KYZ201120)

国家公益性行业(农业)科研专项(201303088) (农业)

江苏省高校优势学科建设工程项目 ()

中农-南农青年教师开放基金项目(NC2008004) (NC2008004)

南京农业大学学报

OA北大核心CSCDCSTPCD

1000-2030

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