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Applications of hyperspectral imaging in grains and nuts quality and safety assessment: a review.

机译:高光谱成像在谷物和坚果质量和安全性评估中的应用:综述。

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摘要

Quality of foods is generally controlled with traditional methods such as microbiological and chemical tests. However, the necessity of a non-destructive, rapid and accurate on-line method to monitor the product quality and safety is the key topic of many research studies. Hyperspectral imaging (HSI) has emerged as a powerful tool to handle the afore-mentioned goals. It is a novel technique that combines simultaneous advantages of imaging and spectroscopy. HSI is an analytical method that simultaneously delivers chemical, structural and functional information from the sample. This technique can be used to analyze both individual kernels and bulk samples and simultaneously determine quality parameters of grains and nuts. Nuts and grains are nutrient dense foods with complex matrices rich in mono- and poly-unsaturated fatty acids, vegetable proteins, fiber, vitamins, minerals etc. Therefore, nuts and grains are useful dietary sources to decrease the risk of diabetes, cancer and cardiovascular disease. In this paper, recent applications of hyperspectral imaging in quality and safety inspection of nuts and grains such as classification, compositions prediction, texture analysis, and detection of varietal impurities, damages, and infections are reviewed
机译:食品质量通常通过微生物和化学测试等传统方法来控制。然而,许多研究的关键主题是必须采用无损,快速,准确的在线方法来监视产品质量和安全性。高光谱成像(HSI)已经成为处理上述目标的强大工具。这是一种结合了成像和光谱学同时优点的新颖技术。 HSI是一种分析方法,可同时提供样品的化学,结构和功能信息。该技术可用于分析单个仁和大量样品,同时确定谷物和坚果的质量参数。坚果和谷物是营养丰富的食物,具有复杂的基质,富含单和多不饱和脂肪酸,植物蛋白,纤维,维生素,矿物质等。因此,坚果和谷物是有用的饮食来源,可降低糖尿病,癌症和心血管疾病的风险疾病。本文综述了高光谱成像技术在坚果和谷物的质量和安全检查中的最新应用,例如分类,成分预测,质地分析以及各种杂质,损伤和感染的检测。

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