首页 | 本学科首页   官方微博 | 高级检索  
     

生物散斑技术在农产品品质分析中的应用
引用本文:胡孟晗,董庆利,刘宝林,屠 康,宋晓燕. 生物散斑技术在农产品品质分析中的应用[J]. 农业工程学报, 2013, 29(24): 284-292
作者姓名:胡孟晗  董庆利  刘宝林  屠 康  宋晓燕
作者单位:1. 上海理工大学医疗器械与食品学院,上海 200093;1. 上海理工大学医疗器械与食品学院,上海 200093;1. 上海理工大学医疗器械与食品学院,上海 200093;2. 南京农业大学食品科技学院,南京 210095;1. 上海理工大学医疗器械与食品学院,上海 200093
基金项目:上海市研究生创新基金项目(JWCXSL1401);国家自然科学基金项目(31271896、30800864);上海市自然科学基金项目(12ZR1420500);上海市东方学者跟踪计划
摘    要:该文综述了生物散斑技术的装置结构、数据处理方法及其在农产品品质检测中的应用进展。生物散斑技术是一种成本较低、快速、无损、实时和可定性/定量的光学无损检测技术,在农产品质量检测的应用中,由于生物散斑活性与农产品的细胞器颗粒大小和细胞质流等生理特征关系密切,因此该技术可用于果皮厚度、成熟度、硬度、酸度、可溶性固形物含量、淀粉含量、水分含量、呼吸速率等理化指标的测量。该文指出今后生物散斑技术的发展需要改进设备,稳定相干光光源,还需要深入研究生物散斑在农产品生理学上的意义,从而实现该技术的标准化和商品化。该文为今后生物散斑技术在农产品品质分析领域的发展提供了一定指导意义。

关 键 词:农产品,图像处理,无损检测,生物散斑,激光散斑
收稿时间:2013-08-22
修稿时间:2013-11-20

Application of biospeckle on analysis of agricultural products quality
Hu Menghan,Dong Qingli,Liu Baolin,Tu Kang and Song Xiaoyan. Application of biospeckle on analysis of agricultural products quality[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(24): 284-292
Authors:Hu Menghan  Dong Qingli  Liu Baolin  Tu Kang  Song Xiaoyan
Affiliation:1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China;1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:Abstract: The equipment structures, data processing methods and research progresses in the agricultural products quality detection of the biospeckle technology were reviewed in this paper. Biospeckle technology was one of the optical non-destructive testing technologies, which was low-cost, fast, real-time and could achieve qualitative/ quantitative measurement. Because the biospeckle activity had the close relationships with the physiological properties of the agricultural products such as the cytoplasmic streaming and organelles size, the physicochemical indicators could be assessed by this technology, including the peel thickness, ripeness, acidity, soluble solid content, starch content, water content and respiratory rate, etc. According to the previous researches, the biospeckle technology was firstly divided into the static and dynamic biospeckle method in this review. The static biospeckle method had been widely used over the past few decades, because the image features could be obtained by simple image processing techniques. Although the image processing speed was fast, the number and accuracy of detectable indicators were limited by the static biospeckle method. In term of dynamic biospeckle method, the video processing speed would hinder the development and extension of this technology, and hence, it could be applied for the point-of-sale quality evaluation at present. The use of advanced hardware such as the high speed camera and improvement of video processing and analysis software might promote the application of dynamic biospeckle method in on-line quality detection. Furthermore, the measuring equipments should be improved to make the laser source more stable, and several suggestions were proposed in this review such as using the polarizers in the light path or choosing different equipment layouts (stereo or planer optical path arrangement) on basis of various tested samples and conditions. In addition, the principle of measurement needs understanding in the molecular level to realize standardization and commercialization. In this respect, the combination use of the biospeckle technology and microscopic technique was suggested to explain the light transmission rules in the agricultural products. It was believed that the understanding of the light transmission rules would improve the detection accuracy. Also, the comparison of fixed and zoom lens used in biospeckle experiments was analyzed qualitatively by biospeckle test platform in our lab, and the obtained result demonstrated that the camera with zoom lens could acquire clearer image and much more information. This review might have benefit for the biospeckle technology development in the agricultural products field.
Keywords:agricultural products   image processing   non-destructive examination   biospeckle   laser speckle
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号