Application of Magnetic Resonance Imaging (MRI) as a Safe & Non-Destructive Method for Monitoring of Fruit & Vegetable in Postharvest Period

H. Fatemi, Ghorban Safaeian Layen, M. Azizi, Ali Feyzi Laein
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引用次数: 1

Abstract

To investigate and control quality, one must be able to measure quality-related attributes. Quality of produce encompasses sensory attributes, nutritive values, chemical constituents, mechanical properties, functional properties and defects. MRI has great potential for evaluating the quality of fruits and vegetables. The equipment now available is not feasible for routine quality testing. The image and resolution produced by MRI is quite detailed and can detect tiny changes of structures within the body. For some procedures, contrast agents, such as gadolinium, are used to increase the accuracy of the images. MRI additionally quality, can even examine the histology, histochemistry and structural characteristics of samples. He also mentioned that MRI is used as an on-line sensor in postharvest sorting and processing situations. The equipment now available is not feasible for routine quality testing; however, costs and capabilities are rapidly improving. Each sensor method is based on the measurement of a given constituent or property; therefore, its ability to measure overall quality is only as good as the relationship of that constituent or property to quality as defined for a particular purpose. Improved statistical methods for combining the inputs from several measurements into classification algorithms are being developed
核磁共振成像技术在果蔬采后安全无损监测中的应用
为了调查和控制质量,必须能够度量与质量相关的属性。农产品质量包括感官属性、营养价值、化学成分、机械特性、功能特性和缺陷。核磁共振成像在评价水果和蔬菜的质量方面具有很大的潜力。现有的设备不能用于常规的质量检测。核磁共振成像产生的图像和分辨率非常详细,可以检测到体内结构的微小变化。对于某些程序,造影剂,如钆,用于提高图像的准确性。MRI除质量外,还能检查样品的组织学、组织化学和结构特征。他还提到,在收获后的分拣和处理过程中,核磁共振成像被用作在线传感器。现有的设备不适合常规的质量检测;然而,成本和能力正在迅速提高。每种传感器方法都是基于对给定成分或属性的测量;因此,其测量整体质量的能力仅与为特定目的定义的组成部分或属性与质量的关系一样好。正在开发改进的统计方法,以便将若干测量的输入结合到分类算法中
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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