NIR和ATR-FTIR光谱技术在萝卜农残检测中的应用

索少增; 刘翠玲; 吴静珠; 孙晓荣

doi:10.13873/j.1000-97872012.10.002

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NIR和ATR-FTIR光谱技术在萝卜农残检测中的应用

应用技术 | 更新时间：2025-09-11

- NIR和ATR-FTIR光谱技术在萝卜农残检测中的应用
- Application of NIR and ATR-FTIR spectroscopy technology in pesticide residues detection of radish
- 传感器与微系统 2012年31卷第10期页码：136-138+142
- 作者机构：
  
  北京工商大学计算机与信息工程学院
- 作者简介：
- 基金信息：
  
  北京市自然科学基金资助项目（4073031）;北京市优秀人才资助项目（20081D0500300130）
- DOI：10.13873/j.1000-97872012.10.002
  中图分类号： TS255.7;O657.33
- 纸质出版：2012
- 稿件说明：
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[1]索少增,刘翠玲,吴静珠,孙晓荣.NIR和ATR-FTIR光谱技术在萝卜农残检测中的应用[J].传感器与微系统,2012,31(10):136-138+142.

SUO Shao-zeng, LIU Cui-ling, WU Jing-zhu, et al. Application of NIR and ATR-FTIR spectroscopy technology in pesticide residues detection of radish[J]. 2012, 31(10): 136-138+142.
[1]索少增,刘翠玲,吴静珠,孙晓荣.NIR和ATR-FTIR光谱技术在萝卜农残检测中的应用[J].传感器与微系统,2012,31(10):136-138+142. DOI： 10.13873/j.1000-97872012.10.002.

SUO Shao-zeng, LIU Cui-ling, WU Jing-zhu, et al. Application of NIR and ATR-FTIR spectroscopy technology in pesticide residues detection of radish[J]. 2012, 31(10): 136-138+142. DOI： 10.13873/j.1000-97872012.10.002.

摘要

研究了近红外（NIR）光谱技术和衰减全反射傅里叶变换红外（ATR-FTIR）光谱技术在萝卜农药残留检测中的应用。为了从不同角度分析

分别使用偏最小二乘（PLS）法和BP神经网络建立了数学模型。经最小—最大归一化方法优化后的NIR光谱数据的PLS法模型标准差为:RMSEC=0.289

RMSEP=0.335

BP神经网络模型标准差为:RMSEC=0.436

RMSEP=0.610。矢量归一化方法优化后的ATR-FTIR光谱数据的PLS法模型标准差为:RMSEC=0.168

RMSEP=0.127

BP神经网络模型标准差为:RMSEC=0.100

RMSEP=0.106。结果表明:ATR-FTIR的农药残留检测精度高于NIR光谱技术

ATR-FTIR光谱技术在农药残留检测方面有实际应用潜能和优势。

Abstract

Application of near-infrared（NIR）and attenuated total reflection Fourier transform infrared（ATR-FTIR）spectroscopy technology in the detection of pesticide residue are studied.In order to analyze from different points of view

respectively

partial least squares（PLS）and BP neural network are used to establish mathematical models.The NIR spectra is optimized by minimum-maximum normalized method before the model built.The standard deviation of NIR-PLS model

respectively

is RMSEC=0.289

RMSEP=0.335.The standard deviation of NIR-BP model is RMSEC=0.436

RMSEP=0.610.Besides

SNV method is used to preprocess ATR-FTIR spectra.Standard deviation of PLS model for ATR-FTIR

respectively

is RMSEC=0.168

RMSEP=0.127.The standard deviation of BP model for ATR-FTIR is RMSEC=0.100

RMSEP=0.106.The results indicate that ATR-FTIR has a higher detection precision than NIR spectroscopy method in pesticide residues detection.ATR-FTIR spectroscopy has a real potential and advantage for future pesticide residues detection application.

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Keywords

references

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