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Changes of backscattering imaging parameter during plum fruit development on the tree and during storage

机译:李子果实在树上发育和贮藏过程中反向散射成像参数的变化

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Laser light backscattering imaging (LLBI) as a novel approach appears to be a promising technique for monitoring quality of horticultural products. The aim of this research was to investigate the feasibility of the non-destructive LLBI technique for the evaluation of plums quality indices during fruit development on tree and during storage. Plums of two cultivars were harvested four times during fruit development. At commercial harvest, fruit were stored at 2 +/- 0.5 degrees C (90 +/- 2% RH) for 28 days and 2 days at 20 degrees C with five measuring dates during storage. Experimental methods involved conventional measurements, i.e. fruit firmness, skin color, soluble solids content, dry matter content, and normalized anthocyanin index (NAI), and non-destructive LLBI at two wavelengths: 532 and 785 nm. The obtained backscattering images were characterized by variation of brightness of the backscattered light. As an objective measure full width at half maximum (FWHM) was calculated from these radial backscattering profiles. The reduction in FWHM532 was strongly correlated with the increase in anthocyanin content as indicated by NAI during fruit development. Furthermore, the increase in FWHM785 was strongly correlated with the decrease in fruit flesh firmness during fruit development on the tree and during storage. In conclusion, results suggest that the LLBI using appropriate wavelengths can be feasible for non-destructive prediction of NAI and firmness in plum fruit. (C) 2016 Elsevier B.V. All rights reserved.
机译:激光后向散射成像(LLBI)作为一种新颖的方法,似乎是监测园艺产品质量的有前途的技术。这项研究的目的是研究无损LLBI技术在树上果实发育和贮藏过程中评估李子质量指标的可行性。在果实发育过程中,收获了两个品种的李子四次。在商业收获时,将水果在2 +/- 0.5摄氏度(90 +/- 2%RH)下保存28天,在20摄氏度下保存2天,储存期间有五个测量日期。实验方法涉及常规测量,即水果硬度,皮肤颜色,可溶性固形物含量,干物质含量和归一化的花青素指数(NAI),以及在532和785 nm两个波长处的无损LLBI。通过反向散射光的亮度变化来表征所获得的反向散射图像。从这些径向反向散射轮廓计算出半峰全宽(FWHM)作为客观测量。 NAI指出,在果实发育过程中,FWHM532的减少与花色苷含量的增加密切相关。此外,FWHM785的增加与树上果实发育和贮藏期间果肉硬度的下降密切相关。总之,结果表明,使用适当波长的LLBI对李子果实NAI和硬度的无损预测是可行的。 (C)2016 Elsevier B.V.保留所有权利。

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