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基于智能手机的图像分析用于冷藏期间猕猴桃品质的快速评估。

Smartphone-Based Image Analysis for Rapid Evaluation of Kiwifruit Quality during Cold Storage.

作者信息

Li Hongbo, Lv Shuang, Feng Li, Peng Peng, Hu Liangbin, Liu Zhenbin, Hati Subrota, Bimal Chitrakar, Mo Haizhen

机构信息

School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.

School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.

出版信息

Foods. 2022 Jul 15;11(14):2113. doi: 10.3390/foods11142113.

Abstract

As a vitamin C-rich fruit, choosing the eating time for kiwifruit with the best quality during the shelf period is still a problem for consumers. This paper mainly focuses on the correlation between cold storage time, quality indexes, volatile flavor compounds of postharvest kiwifruit and RGB value readouts from photos taken by mobile phone. Results indicated that the R to B ratio values (Central R/B) and B to G ratio values (Central B/G) of the central site of kiwifruit were strongly associated with storage time and all quality indicators. The central R/B was negatively correlated with titratable acidity, vitamin C and 2,6-Nonadienal contents and firmness and positively correlated with storage time, weight loss, soluble solids content, total soluble sugars, total plate counts and 1,3-Cyclooctadiene. We provide a novel and smart strategy to predict the shelf life and quality parameters of kiwifruit by capturing and calculating RGB values using a smartphone.

摘要

作为一种富含维生素C的水果,在货架期内选择品质最佳的猕猴桃食用时间仍是消费者面临的一个问题。本文主要关注冷藏时间、采后猕猴桃的品质指标、挥发性风味化合物与手机拍摄照片的RGB值读数之间的相关性。结果表明,猕猴桃中心部位的红蓝光比值(中心R/B)和蓝光绿光比值(中心B/G)与储存时间和所有品质指标密切相关。中心R/B与可滴定酸度、维生素C、2,6-壬二烯醛含量以及硬度呈负相关,与储存时间、失重、可溶性固形物含量、总可溶性糖、总平板计数和1,3-环辛二烯呈正相关。我们提供了一种新颖且智能的策略,通过使用智能手机捕捉和计算RGB值来预测猕猴桃的货架期和品质参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52d8/9316195/ea5db76b03f8/foods-11-02113-g002.jpg

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