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New approach for blueberry firmness grading to improve the shelf-life along the supply chain

成熟度 可滴定酸 肖氏硬度计 数学 保质期 成熟 食品科学 园艺 颜色测量 化学 植物 人工智能 计算机科学 材料科学 生物 复合材料
作者
Alice Varaldo,V. Chiabrando,Giovanna Giacalone
出处
期刊:Scientia Horticulturae [Elsevier BV]
卷期号:304: 111273-111273 被引量:7
标识
DOI:10.1016/j.scienta.2022.111273
摘要

Blueberry texture is one of the most commercially relevant quality traits. This parameter is closely associated with maturity and significantly affects post-harvest storage. Measuring small fruit firmness is challenging and critical due to the lack of a cheap, rapid, and easily interpretable standardized method of analysis. The digital durometer (53215 TP–Turoni, I), based on the Shore scale, has been found to be suitable for assessing berries hardness. In this study, samples were sorted according to their surface color: green, pink, red, ripe (completely blue), and overripe (completely pigmented, matte dark blue). Afterward, berries were classified into five categories based on the Shore scale. Every hardness value was linked to CIELAB coordinate color. In addition, every hardness category was related to total soluble solids content (TSS) and titratable acidity (TA). Results showed statistical differences in colorimetric coordinates and C color index among the firmness categories. Regression analysis showed a significative R2 coefficient between firmness and C color index (R2=0.79), and firmness and TA (R2=0.87). The findings highlighted how the digital durometer accurately divides fruits into maturity classes. This tool can be helpful as a non-destructive, accurate, rapid, and cheap procedure to sort blueberries into stages of ripeness. It may be a promising starting point for improving berries storage and shelf-life. With the digital durometer, the supply chain operators could uniformly divide batches with greater precision than would be obtained with skin color analysis only.
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