CAJ | 학술논문

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。
소채농약잔류급인문건강음식대래흔대안전은환。위차，종술료궤대류농약잔류검측방법：활체측정법、이화검측법、쾌속검측법화광보검측법，분석료타문각자특점。동시，기우광보기술대생채협편상적농잔진행료검측시험，비교료유농잔협편광보여무농잔협편광보，병통과PCA산법진행광보특정제취，결합학습향량양화신경망락건립농잔감별모형，취득료교호적감별결과。
Pesticide residues in vegetables bring the great hidden dangers to the health of people .This paper reviews sev-eral 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 ( Learn-ing Vector Quantization ) neural network was used to set up model of identification of pesticide residues , and the identifi-cation result was good .