• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Sensing for agriculture and food quality and safety >Automatic detection of aflatoxin contaminated corn kernels using dual-band imagery
【24h】

Automatic detection of aflatoxin contaminated corn kernels using dual-band imagery

机译：使用双波段图像自动检测黄曲霉毒素污染的玉米粒

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Aflatoxin is a mycotoxin predominantly produced by Aspergillus flavus and Aspergillus parasitiucus fungi that grow naturally in corn, peanuts and in a wide variety of other grain products. Corn, like other grains is used as food for human and feed for animal consumption. It is known that aflatoxin is carcinogenic; therefore, ingestion of corn infected with the toxin can lead to very serious health problems such as liver damage if the level of the contamination is high. The US Food and Drug Administration (FDA) has strict guidelines for permissible levels in the grain products for both humans and animals. The conventional approach used to determine these contamination levels is one of the destructive and invasive methods that require corn kernels to be ground and then chemically analyzed. Unfortunately, each of the analytical methods can take several hours depending on the quantity, to yield a result. The development of high spectral and spatial resolution imaging sensors has created an opportunity for hyperspectral image analysis to be employed for aflatoxin detection. However, this brings about a high dimensionality problem as a setback. In this paper, we propose a technique that automatically detects aflatoxin contaminated corn kernels by using dual-band imagery. The method exploits the fluorescence emission spectra from corn kernels captured under 365 nm ultra-violet light excitation. Our approach could lead to a non-destructive and non-invasive way of quantifying the levels of aflatoxin contamination. The preliminary results shown here, demonstrate the potential of our technique for aflatoxin detection.
机译：黄曲霉毒素是一种霉菌毒素，主要由黄曲霉和寄生曲霉真菌产生，它们在玉米，花生和多种其他谷物产品中自然生长。玉米与其他谷物一样，被用作人类食物和动物饲料。众所周知，黄曲霉毒素具有致癌性。因此，如果污染水平很高，那么摄入被毒素感染的玉米会导致非常严重的健康问题，例如肝脏受损。美国食品药品监督管理局（FDA）对人类和动物谷物产品中的允许含量有严格的规定。用于确定这些污染水平的常规方法是破坏性和侵入性方法之一，需要先将玉米粒研磨然后进行化学分析。不幸的是，每种分析方法可能要花费几个小时，具体取决于数量，才能得出结果。高光谱和空间分辨率成像传感器的发展为用于黄曲霉毒素检测的高光谱图像分析创造了机会。然而，这带来了高维度的问题作为挫折。在本文中，我们提出了一种使用双波段图像自动检测黄曲霉毒素污染的玉米粒的技术。该方法利用了在365 nm紫外线激发下捕获的玉米粒的荧光发射光谱。我们的方法可能导致量化黄曲霉毒素污染水平的非破坏性和非侵入性方式。此处显示的初步结果证明了我们技术检测黄曲霉毒素的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号