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首页> 外文期刊>Innovative Food Science & Emerging Technologies >Two-parameter Lorentzian distribution for monitoring physical parameters of golden colored fruits during drying by application of laser light in the Vis/NIR spectrum
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Two-parameter Lorentzian distribution for monitoring physical parameters of golden colored fruits during drying by application of laser light in the Vis/NIR spectrum

机译:两参数洛伦兹分布,用于通过在Vis / NIR光谱中施加激光来监测干燥期间金色水果的物理参数

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摘要

Inadequate drying conditions of tropical fruits can alter the cellular structure and chemistry, which can lead to undesirable characteristics of the final product. The purpose of this research is to test the feasibility of light scattering of three laser sources operating in the Vis/NIR range by calculating a two-parameter Lorentzian distribution (LD) for quality assessment of two golden-colored fruits, namely mango and litchi, during drying. Linear mixed models showed that blue light at 473 nm was the most adequate to monitor changes in browning (R-2 = 0.81) and moisture content (R-2 = 0.80) of litchi. For mango, NIR light at 785 nm was affected by the hardness (p < 0.001), whereas moisture content showed a strong influence on the calculated LD functions at both 532 (p < 0.001) and 785 (p < 0.05) nm with a good fitting of the prediction model (R-2 = 0.91). Laser light can provide an economically-effective solution to obtain information from the fruit tissue non-destructively during industrial drying processes.
机译:热带水果的干燥条件不足会改变其细胞结构和化学性质,从而导致最终产品的不良特性。这项研究的目的是通过计算两参数洛伦兹分布(LD)来评估芒果和荔枝这两种金色水果的质量,以测试在Vis / NIR范围内工作的三个激光源进行光散射的可行性。在干燥过程中。线性混合模型显示,在473 nm处的蓝光最适合监视荔枝的褐变(R-2 = 0.81)和水分含量(R-2 = 0.80)。对于芒果,硬度为785 nm的NIR光会受到影响(p <0.001),而水分含量对532(p <0.001)和785(p <0.05)nm的LD函数表现出很大的影响,预测模型的拟合(R-2 = 0.91)。激光可以提供一种经济有效的解决方案,以在工业干燥过程中无损地从水果组织中获取信息。

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