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Optical instrument development for detection of pesticide residue in apple surface

机译：用于检测苹果表面农药残留的光学仪器开发

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摘要

Apple is the world largest produced and consumed fruit item. At the same time, apple ranks number one among the fruit item contaminated with pesticide. This research focuses on development of laboratory based self-developed software and hardware for detection of commercially available organophosphorous pesticide (chlorpyrifos) in apple surface. A laser light source of 785nm was used to excite the sample, and Raman spectroscopy assembled with CCD camera was used for optical data acquisition. A hardware system was designed and fabricated to clamp and rotate apple sample of varying size maintaining constant working distance between optical probe and sample surface. Graphical Users Interface (GUI) based on Lab View platform was developed to control the hardware system. The GUI was used to control the Raman system including CCD temperature, exposure time, track height and track centre, data acquisition, data processing and result prediction. Different concentrations of commercially available 48% chlorpyrifos pesticide solutions were prepared and gently placed in apple surface and dried. Raman spectral data at different points from same apple along the equatorial region were then acquired. The results show that prominent peaks at 341cm"1, 632cm"1 and 680 cm"1 represent the pesticide residue. The laboratory based experiment was able to detect pesticide solution of 20ppm within 3 seconds. A linear relation between Raman intensity and pesticide residue was developed with accuracy of 97.8%. The result of the research is promising and thus is a milestone for developing industrially desired real time, non-invasive pesticide residue detection technology in future.
机译：苹果是世界上最大的生产和消费水果项目。同时，苹果在被农药污染的水果中排名第一。这项研究的重点是开发基于实验室的自行开发的软件和硬件，用于检测苹果表面的市售有机磷农药（毒死rif）。使用785nm的激光光源激发样品，并使用结合CCD相机的拉曼光谱仪进行光学数据采集。设计并制造了一个硬件系统，可以夹持和旋转大小不同的苹果样品，以保持光学探针和样品表面之间的恒定工作距离。开发了基于Lab View平台的图形用户界面（GUI）来控制硬件系统。 GUI用于控制拉曼系统，包括CCD温度，曝光时间，轨道高度和轨道中心，数据采集，数据处理和结果预测。制备了不同浓度的市售48％毒死rif农药溶液，并将其轻轻地放在苹果表面并干燥。然后获取沿赤道区域来自同一苹果的不同点的拉曼光谱数据。结果表明，在341cm“ 1、632cm” 1和680cm“ 1处有明显的峰代表农药残留。实验室实验能够在3秒内检测出20ppm的农药溶液。拉曼强度与农药残留之间的线性关系为精确度达到97.8％的结果表明，这项研究的结果是有希望的，因此是将来开发工业上所需的实时，无创农药残留检测技术的里程碑。

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  • 来源
  • 会议地点 Baltimore MD(US)
  • 作者

    Sagar Dhakal; Yongyu Li; Yankun Peng; Kuanglin Chao; Jianwei Qin;

  • 作者单位

    China Agricultural University, National RD Center for Agro-processing Equipment, 17 Qinghua E. Rd, Haidian, Beijing 100083, China;

    China Agricultural University, National RD Center for Agro-processing Equipment, 17 Qinghua E. Rd, Haidian, Beijing 100083, China;

    China Agricultural University, National RD Center for Agro-processing Equipment, 17 Qinghua E. Rd, Haidian, Beijing 100083, China;

    USDA-ARS Environmental Microbial and Food Safety Laboratory, Bldg. 303 BARC-East, 10300 Baltimore Ave., Beltsville, MD, USA 20705;

    USDA-ARS Environmental Microbial and Food Safety Laboratory, Bldg. 303 BARC-East, 10300 Baltimore Ave., Beltsville, MD, USA 20705;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pesticide; Raman spectroscopy; Real time; Lab View;

    机译：农药;拉曼光谱即时的;实验室视图;

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