摘要
蔬菜农药残留给人们健康饮食带来很大安全隐患。为此,综述了几大类农药残留检测方法:活体测定法、理化检测法、快速检测法和光谱检测法,分析了它们各自特点。同时,基于光谱技术对生菜叶片上的农残进行了检测试验,比较了有农残叶片光谱与无农残叶片光谱,并通过PCA算法进行光谱特征提取,结合学习向量量化神经网络建立农残鉴别模型,取得了较好的鉴别结果。
Pesticide residues in vegetables bring the great hidden dangers to the health of people. This paper reviews several kinds of pesticide residue detection methods,including bioassay method,chemical method,rapid detection method and spectral analysis method,and analyses their characteristics. In this paper,the pesticide residue in lettuce leaves were detected based on spectral techniques,and the spectra of the blades having pesticide residues were compared with the ones of the blades without pesticide residues. PCA algorithm was used for spectral feature extraction,and LVQ（ Learning Vector Quantization） neural network was used to set up model of identification of pesticide residues,and the identification result was good.
出处
《农机化研究》
北大核心
2014年第9期209-212,共4页
Journal of Agricultural Mechanization Research
基金
国家自然科学基金项目(31101082)
江苏高校优势学科建设工程项目(苏政办发[2011]6号)
国家级大学生创新创业训练计划项目(201310299011)
江苏省高等学校大学生创新创业训练计划项目(201310299011Z)
江苏大学大学生科研立项项目(12A512
Y12A157)
关键词
农药残留
生菜叶片
光谱
pesticide residues
lettuce leaf
spectrum
