背景:光谱技术广泛用于不同水果的非破坏性成熟和质量监测。为此开发新的传感器设备,了解农业样品的光学特性对于预测入射光与水果的相互作用至关重要。
结果:在本研究中,使用带有积分球的紫外可见/近红外光谱仪从400至1000nm确定了三个不同的无核葡萄品种(ARRA15,Tawny和Melody/Blagratwo)的光学特性,然后计算吸收和散射系数和各向异性系数。结果表明,不同葡萄品种的光学特性存在显著差异,尤其是在可见光波长区域,而这些在近红外范围内不太明显。独立于葡萄品种,葡萄浆果皮具有较高的散射系数,散射主要发生在向前方向。根据葡萄浆果的光学特性,在OpticStudio中生成三维葡萄浆果模型(Zemax,LLC)用于可用于光学照明模拟的不同品种。水果内部的大量散射由Henyey-Greenstein分布建模。通过实验确定的总透射率和镜面反射的模拟值的比较表明,可以在OpticStudio中创建逼真的光学葡萄模型。
结论:总体而言,这里介绍的创建光学葡萄模型的程序将有助于开发用于收获前和收获后食品质量监测的光学应用。©2022作者约翰·威利父子有限公司代表化学工业学会出版的《食品和农业科学杂志》。
BACKGROUND: Spectroscopic techniques are widely used for the non-destructive maturation and quality monitoring of different fruits. To develop new sensor devices for this purpose, knowing the optical properties of the agricultural sample is crucial for enabling the prediction of the interaction of the incident light with the fruit.
RESULTS: In the present study, the optical properties of three different seedless grape varieties (ARRA15, Tawny and Melody/Blagratwo) were determined from 400 to 1000 nm using a UV-visible/near-infrared spectrometer with an integrating sphere and subsequent calculation of the absorption and scattering coefficients and the anisotropy factor using the inverse adding doubling method. The results indicate that the optical properties of different grape varieties have significant differences, especially in the visible wavelength region, whereas these are less distinct in the near-infrared range. Independent of grape variety, the grape berry skin has a higher scattering coefficient and scattering occurs predominantly in the forward direction. Based on the optical properties of the grape berries, a three-dimensional grape berry model is generated within OpticStudio (Zemax, LLC) for the different varieties that can be used in optical illumination simulations. The bulk scattering inside the fruit is modeled by the Henyey-Greenstein distribution. A comparison of the simulated values for the total transmission and the specular reflection determined experimentally shows that realistic optical grape models can be created within OpticStudio.
CONCLUSIONS: Overall, the procedure for creating optical grape models presented here will be helpful for the development of optical applications used in pre- and post-harvest food quality monitoring. © 2022 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.