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Application of hue spectra fingerprinting during cold storage and shelf-life of packaged sweet cherry
Journal of Food Measurement and Characterization ( IF 3.4 ) Pub Date : 2020-06-23 , DOI: 10.1007/s11694-020-00515-z
Lien Phuong Le Nguyen , Anna Visy , László Baranyai , László Friedrich , Pramod V. Mahajan

Presented work investigated the application of a new color analysis technique in post-harvest life of sweet cherry (Prunus avium L. ‘Hudson’). The hue spectra fingerprinting creates a histogram of image colors by summarizing the saturation. The advantage of this calculation method is that vivid colors make peaks while neutral background color is eliminated without object segmentation. Partial Least Squares (PLS) regression was used to estimate reference parameters during 9 d cold storage at 10 ± 0.5 °C (RH = 90 ± 1%) and following 2 d shelf-life at 20 ± 0.5 °C. The reference parameters of respiration, weight loss, fruit firmness and total soluble solid (TSS) content were measured. Samples were split into seven groups according to the number of perforations of polypropylene film and fructose concentration of moisture absorber. It was observed that parameters TSS and fruit firmness were the most sensitive to the length of storage. Weight loss was affected significantly by packaging. All reference parameters were estimated by PLS model with R2 > 0.917, but weight loss and respiration obtained high estimation error of RMSE% = 48.02% and 11.76%, respectively. TSS and fruit firmness prediction were successful with RMSE% = 0.84% and 1.85%, respectively. Desiccation and color change of peduncle became visible in the green range of hue spectra. Color change of red fruit was observed with decreasing saturation in the red range of hue spectra. Our findings suggest that hue spectra fingerprinting can be a useful nondestructive method for monitoring quality change of sweet cherry during post-harvest handling and shelf-life.

中文翻译:

色相指纹图谱在包装甜樱桃冷藏及货架期中的应用

目前的工作调查了一种新的颜色分析技术在甜樱桃(李属樱桃)收获后生活中的应用L.“哈德逊”)。色调光谱指纹图谱通过汇总饱和度来创建图像颜色的直方图。这种计算方法的优势在于,鲜艳的色彩形成了峰值,而消除了中性的背景色而没有对象分割。使用偏最小二乘(PLS)回归来估计在10±0.5°C(RH = 90±1%)下冷藏9 d以及在20±0.5°C下保存2 d后的参考参数。测量了呼吸,体重减轻,水果硬度和总可溶性固形物(TSS)含量的参考参数。根据聚丙烯膜的穿孔数量和果糖吸收剂的浓度将样品分为七个组。观察到,参数TSS和水果硬度对贮藏时间最敏感。减肥受到包装的影响很大。所有参考参数均由带有R的PLS模型估算2  > 0.917,但是减肥和呼吸获得的高估计误差分别为RMSE%= 48.02%和11.76%。TSS和水果硬度预测成功,RMSE%= 0.84%和1.85%。在色相光谱的绿色范围内,花梗的干燥和颜色变化可见。在色调光谱的红色范围内,随着饱和度的降低,观察到红色水果的颜色变化。我们的研究结果表明,色相光谱指纹图谱可以作为一种有用的非破坏性方法,用于监测甜樱桃在收获后处理和保质期内的质量变化。
更新日期:2020-06-23
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