会议论文详细信息
2nd International Symposium "Optics and its Applications"
Design and development of a LabVIEW-based LED-induced fluorescence spectroscopy system with applications in non-destructive quality assessment of agricultural products
Abbasi, Hamed^1 ; Nazeri, Majid^1 ; Mireei, Seyed Ahmad^2
Department of Photonics, Faculty of Physics, University of Kashan, Kashan
87317-51167, Iran^1
Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan
84156-83111, Iran^2
关键词: Chlorophyll contents;    Design and Development;    Fluorescence spectrometers;    Fruit and vegetables;    Fruits and vegetables;    Nondestructive detection;    Nondestructive methods;    Product quality monitoring;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/672/1/012010/pdf
DOI  :  10.1088/1742-6596/672/1/012010
来源: IOP
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【 摘 要 】

Over the past several years, the demand for high quality agricultural products has been remarkably increased. Thus, it is important to use non-destructive methods for product quality monitoring. LED-induced fluorescence spectroscopy has proved its potential for nondestructive detection of some defects in agricultural products, such as tissue browning and bruising. Due to such defects, changes in the polyphenol and chlorophyll contents occur which can be considered as the visible marks of decreasing fruit quality. In the present work, a fluorescence spectrometer (spectrofluorometer) controlled by LabVIEW software was designed and developed. In this spectrometer, a consumer-grade webcam was used as an imaging sensor. The spectrometer was able to measure the fluorescence spectra directly from the fruit and vegetable surface in the desired regions. To do so, the spectrometer was equipped with a suitable fiber-optic probe. The hardware solution was based on data acquisition working on the USB platform and controlled by the application running on the PC. In this system, light emitting diodes with different wavelengths were used as the excitation sources for inducing fluorescence spectra of some famous fruits and vegetables.

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