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Analysis of Absorption and Scattering Spectra for Assessing the Internal Quality of Apple Fruit

机译:评估苹果果实内部质量的吸收与散射光谱分析

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Optical absorption and scattering properties are useful for quantifying light interaction with plant tissue, as well as for quality assessment of horticultural products. The aim of this research was to measure the absorption (μ_a) and reduced scattering (μ_s') coefficient spectra (500-1,000 nm) of apple (Malus×domestica) cultivars 'Golden Delicious' (GD) and 'Delicious' (RD) for assessing their internal quality. A newly developed hyperspectral imaging-based spatially-resolved instrument was used to acquire reflectance images for 1039 GD apples and 1040 RD apples immediately after harvest or after they had been kept in refrigerated air for various periods for up to 12 weeks. Absorption and reduced scattering coefficient spectra of the apples were determined from the spatially-resolved reflectance profiles using a diffusion model coupled with an inverse algorithm. The spectra of μ_a and μ_s', and their combinations (μ_a&μ_s', μ_a×μ_s', and μ_(eff)=[3μ_a(μ_a+μ_s')]~(1/2)) were used for predicting fruit firmness and soluble solids content (SSC) by partial least squares regression method. The combinations of μ_a and μ_s' improved prediction results, compared with individual a and μ_s' spectra. The best correlations (r) for firmness prediction for GD and RD apples were 0.892 and 0.863 with the standard errors of prediction (SEP) of 7.89 N and 8.94 N, and were 0.778 and 0.825 for SSC with the SEP of 0.82 and 0.85°Brix, respectively, when all samples were pooled. This research showed that optical absorption and scattering properties are useful for assessing internal quality of apples.
机译:光学吸收和散射性能可用于量化与植物组织的光相互作用,以及园艺产品的质量评估。该研究的目的是测量吸收(μ_A)和降低的散射(μ_')系数谱(500-1,000nm)的苹果(Malus×Dibustica)品种“金色美味”(GD)和“美味”(RD)用于评估其内部质量。新开发的基于高光谱成像的空间分辨仪器用于在收获后立即或在收获后的1039个GD苹果和1040型RD苹果在冷藏空气中进行各种时段,长达12周。使用与逆算法耦合的扩散模型从空间分辨的反射率分布确定苹果的吸收和减小的散射系数光谱。 μ_a和μ_s'的光谱及其组合(μ_a&μ_',μ_a×μ_'和μ_(eff)= [3μ_a(μ_a+μ_')]〜(1/2))用于预测果实的坚固性和可溶性通过偏最小二乘回归方法的固体含量(SSC)。与单个A和μ_S频谱相比,μ_a和μ_s的改进的预测结果的组合。用于GD和RD苹果的坚固性预测的最佳相关性(R)为0.892和0.863,标准误差为7.89 n和8.94n,SEC为0.778和0.825,SEP为0.82和0.85°Brix分别汇集了所有样品。该研究表明,光学吸收和散射特性可用于评估苹果的内部质量。

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