便携式荧光成像检测系统开发及应用研究
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浙江理工大学信息科学与工程学院杭州310018

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TN06

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国家自然科学基金(32071904)项目资助


Development and application of a portable fluorescence imaging detection system
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School of Information Science and Engineering, Zhejiang SciTech University, Hangzhou 310018, China

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    摘要:

    针对食品加工过程中设备表面食物残留快速检测的需求,以菠菜汁液为例开发了一套便携式荧光成像检测系统,并在此基础上增加系统对菠菜汁液中含量较高的物质叶绿素A的定量功能。该系统主要由光源、CCD相机、显示屏及控制处理单元组成,用于激发物质产生荧光的光源、滤波片可根据实际需求调整更换,同时开发了检测系统的控制软件,利用显示屏进行人机交互操作,主要实现图像数据采集和处理等功能。对3种广泛使用的食品加工材料表面的菠菜汁液残留开展定性实验,检测结果显示:当食品加工表面本身不具有荧光效应时,便携式荧光成像检测系统能够较好地识别出其上的叶绿素残留。对叶绿素A的定量检测结果表明,当叶绿素A溶液浓度在0~8.5 μg/mL范围内时,浓度预测模型的决定系数R2都能达到0.99,预测结果的均方根误差RMSE不高于0.24 μg/mL。研究结果表明,开发的检测系统对具有特定荧光效应的物质检测可行且有效,系统具有的检测视场大、体积小便于携带等优点可将系统用于现场实时检测,也可拓展至植物病变等其他领域的应用,具有较广阔的应用前景。

    Abstract:

    Aiming at the demand for rapid detection of food residues on the surface of equipment during food processing, a portable fluorescence imaging detection system was developed using spinach juice as an example, and on this basis, the quantitative function of the system for chlorophyll A, which is a substance with high content in spinach juice, was added. The system is mainly composed of a light source, a CCD camera, a display and a control and processing unit, and the light source and filter used to stimulate the substance to produce fluorescence can be adjusted and replaced according to the actual demand, while the control software of the detection system is developed, and the display is used for human-machine interactive operation, mainly realizing the functions of image data acquisition and processing.Qualitative experiments were carried out on spinach juice residues on the surface of three widely used food processing materials, and the detection results showed that the portable fluorescence imaging detection system was able to better identify chlorophyll residues on the food processing surface when the surface itself did not have a fluorescence effect.The quantitative detection results of chlorophyll A showed that when the concentration of chlorophyll A solution was in the range of 0~8.5 μg/mL, the determination coefficient R2 of the concentration prediction model can reach 0.99, and the root mean square error (RMSE) of the prediction results was not higher than 0.24 μg/mL. The results of this study show that the developed portable fluorescence imaging detection system is feasible and effective for the detection of substances with specific fluorescence effects, and the system has the advantages of a large field of view, small size and easy to carry, etc. The system can be used for real-time on-site detection, and in addition to the detection of food residues on the surface of food processing, it can also be extended to the detection of plant pathology and other fields, which has a broader application prospect.

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张玮,傅霞萍.便携式荧光成像检测系统开发及应用研究[J].电子测量与仪器学报,2024,38(9):169-175

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