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针对现有的微量农药检测手段费时、复杂、前处理过程繁琐等不足,研究利用近红外光谱技术检测微量农药。制备两种不同的样品:不同浓度梯度的液体农药溶液样品和滤纸农药干燥样品,通过采取不同的光谱预处理手段,对比其相关系数和交叉验证均方差选择最适合的光谱预处理方法,采用偏最小二乘回归法建立预测模型。最后得出结论:滤纸农药干燥样品由于去除了绝大部分的水分使得检测精度相比较液体农药溶液样品有较大的提高,预测相关系数达到0.989,预测残差值为0.153,且相对分析误差为6.812,可以进行对农药浓度的定量检测。
Aiming at the shortcomings of the existing detection methods of trace pesticides, such as time-consuming, complicated and cumbersome pretreatment processes, the application of near-infrared spectroscopy in the detection of trace pesticides was studied. Two different samples were prepared: liquid pesticide solution samples with different concentration gradient and dry samples of filter paper and pesticide. Through different spectral pretreatment methods, the most suitable spectral pretreatment method was selected by comparing the correlation coefficient and cross-validation mean square error. Least-squares regression method to establish the prediction model. Finally, the conclusion is drawn that the filter paper pesticide dried sample has a higher detection accuracy than the liquid pesticide solution sample due to the removal of most of the water, the predicted correlation coefficient reaches 0.989, the predicted residual value is 0.153, and the relative analysis error is 6.812, you can conduct a quantitative test of pesticide concentration.