Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging

Luna Shrestha, R. Moscetti, S. Crichton, O. Hensel, B. Sturm
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引用次数: 5

Abstract

Organic dried apples are common snacks fulfilling functional as well as nutritional aspects. However, appearance of dried slices does not always satisfy consumer requirements, thus, improvements are needed. In this study, partial least squares (PLS) regression models were successfully developed to monitor changes in colour and moisture content in apple slices during the drying process over the Vis/NIR spectral range. The regression vector analysis results suggested that features at 580, 750 and 970 nm are better for predicting moisture content, while 580 and 680 nm allow to measure the (a*/b*) colour ratio.   Keywords: Drying; Dried apple slices; Moisture content; Colour; PLSR modelling
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有机苹果(cv。利用可见光/近红外高光谱成像技术评价热风干燥过程中的Elstar质量
有机苹果干是一种常见的零食,既具有功能性,又具有营养价值。然而,干片的外观并不总是满足消费者的要求,因此,需要改进。在本研究中,成功地建立了偏最小二乘(PLS)回归模型,在可见光/近红外光谱范围内监测苹果切片干燥过程中颜色和水分含量的变化。回归向量分析结果表明,580、750和970 nm处的特征能较好地预测水分含量,580和680 nm处的特征能较好地测量(a*/b*)色比。关键词:干燥;干苹果片;水分含量;颜色;PLSR模型
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