摘要
介绍了近红外光谱技术的发展及原理,基于近红外光谱分析技术对蔬菜中农药残留的检测方法进行了定性和定量实验研究.选取菠菜作为叶菜代表,用偏最小二乘建立校正模型,并对模型的通用性进行验证.实验表明,校正模型的预测结果比较理想,但模型的通用性还需要改善,同时还讨论了基于多信息融合技术在农药残留量检测中的研究前景.
The principles and development of near infrared spectroscopy technology were introduced in this paper. The near infrared spectroscopy technology was used for the quantitative and qualitative analysis of pesticide residues in vegetable. The spinach was chosen as the representation of leafy vegetables, and the regression model was developed by using partial least squares regression. The results showed that the predictive value of the calibration model was reliable, but the universality of the model still needs improving. Also, the research prospects of pesticide residues detection based on the multi-information fusion technology were discussed.
出处
《北京工商大学学报（自然科学版）》
CAS
2010年第4期52-55,64,共5页
Journal of Beijing Technology and Business University:Natural Science Edition
基金
北京市自然科学基金资助项目(4073031)
关键词
近红外光谱
农药残留
偏最小二乘
校正模型
near infrared spectroscopy
pesticide residues
PLS
calibration model
