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| Quantitative Analysis of Rapeseeds Using Infrared Photoacoustic Spectroscopy Combined with Robust Regression |
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| DOI：10.3969/j.issn.1004-4957.年份.月份 |
| KeyWord:rapeseed infrared photoacoustic spectroscopy robust regression nitrogen content oil content glucosinolate content |
| Author | Institution |
| 陆宇振，杜昌文，余常兵，周健民 |
1.中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室;2.中国农业科学院油料作物研究所农业部油料作物生物学与遗传育种重点实验室 |
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| Abstract: |
| Robust partial least square regression and partial robust M-estimator regression were applied in outlier detection and quantitative analysis of nitrogen content,oil content and glucosinolate content of rapeseeds by dint of infrared photoacoustic spectroscopy.The results showed that infrared photoacoustic spectroscopy can be used in the fast determination of rapeseeds′ qualities,and that robust regressions are superior to its classic versions in the avoiding of the interference caused by outliers to optimize quantitative analysis models,and in which partial robust M-regression(PRM)performs slightly better than robust partial least squares(RPLS). |
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