Using Fluorescence Spectrometer Lumina, fluorescence spectra of surface slices of apples and potatoes were measured. Some of the samples were healthy, some were infected: apples had scabs, potatoes had rot and mechanical damage. For apples, two zones were found where the emission spectra of healthy and scab-affected samples differed significantly from each other. This is the region of 400–450 nm with excitation of 300–350 nm, as well as the region of 680–750 nm with excitation of 400–450 nm. For potatoes, the differences between a healthy and rot-affected sample were found only in the region of 400–450 nm with excitation at 300–350 nm. The found differences are clearly manifested in the correlation coefficients between the spectra - the minimum correlation coefficient for healthy apples and scab at 450 nm excitation r = 0.51. Also, healthy and diseased samples are well separated using principal component analysis (PCA). The revealed differences in the fluorescence spectra can be used for the detection and separation of diseased and healthy fruits and vegetables.

使用荧光光谱仪Lumina，测量苹果和土豆的表面切片的荧光光谱。其中一些样本是健康的，一些样本已被感染：苹果有结ab，土豆有腐烂和机械损伤。对于苹果，发现了两个区域，在这些区域中，健康样本和受sc疮影响的样本的发射光谱彼此显着不同。这是300-350 nm激发的400-450 nm区域，以及400-450 nm激发的680-750 nm区域。对于马铃薯，健康样品和腐烂样品之间的差异仅在400-450 nm范围内，而在300-350 nm处激发。发现的差异清楚地体现在光谱之间的相关系数上-健康苹果和sc在450 nm激发下的最小相关系数[R= 0.51。此外，使用主成分分析（PCA）可以很好地分离出健康和患病的样品。荧光光谱中发现的差异可用于检测和分离病态和健康的水果和蔬菜。