Feasibility Study on Quantitative Pixel-Level Visualization of Internal Quality at Different Cross Sections Inside Postharvest Loquat Fruit
Feasibility Study on Quantitative Pixel-Level Visualization of Internal Quality at Different Cross Sections Inside Postharvest Loquat Fruit
复制标题
采后枇杷果实不同截面内部品质像素级定量可视化可行性研究
DOI：
10.1007/s12161-016-0581-8
复制
发表时间：
2017-02
影响因子：
2.9
通讯作者：
Chen Kunsong
中科院分区：
文献类型：
--
作者：
Zhu Nan;Nie Yating;Wu Di;He Yong;Chen Kunsong
在像素水平上可视化枇杷果实内部品质变化，对于深入了解枇杷果实成熟过程，进一步优化枇杷采前种植模式和采后贮藏策略具有重要意义。可溶性固形物（TSS）是枇杷果实的主要品质指标，测定其含量变化可用于枇杷果实成熟和采后衰老的监测。折射计方法不能提供枇杷果肉内的详细TSS分布，因为分析集中于仅测量果肉立方体的平均TSS，果肉立方体用于制造用于折射计测量的果汁。在这项研究中，高光谱成像技术被用来测量和可视化枇杷果实内部TSS的分布。选择不同TSS含量的枇杷果实，在不同的横截面上进行切割成像。应用不同的校准和波长选择算法并进行比较。通过对光谱集I（468-1026 nm）的预处理，剔除无信息变量的偏最小二乘回归模型，对枇杷果肉可溶性固形物测定具有较高的预测能力，相关系数为0.960，预测残差为3.513。在此基础上，对枇杷果实内部不同截面TSS的定量分布进行了像素级可视化。结果表明，高光谱成像技术是一种在像元水平上可视化枇杷果实内部TSS空间分布变化的可行方法，有助于深入了解采后枇杷果实内部TSS的变化。
Visualizing the quality variation inside loquat fruit at pixel level is important to deeply understand its ripening process and further optimize its preharvest planting pattern and postharvest storage strategy. Total soluble solids (TSS) is a major quality attribute of loquat fruit and detecting changes in its content can be used to monitor the ripening and postharvest senescence of loquat fruit. The refractometer method cannot provide detailed TSS distribution within loquat flesh, because the analysis focuses on measuring the mean TSS of only a flesh cube, which is used to make juice for the refractometer measurement. In this study, hyperspectral imaging was used to measure and visualize internal TSS distribution within loquat fruit. Loquat fruits with different TSS contents were selected and cut at different cross sections for imaging. Different calibration and wavelength selection algorithms were applied and compared. The uninformative variable elimination by partial least square regression model with preprocessing from spectral set I (468–1026 nm) was identified as the best model for the TSS determination of loquat flesh, which had a high prediction ability with a correlation coefficient of 0.960 and residual predictive deviation of 3.513. On the basis of the best model, the quantitative TSS distribution at different cross sections inside loquat fruit was visualized at pixel level. The results showed that hyperspectral imaging is a feasible way of visualizing the spatial changes of TSS distribution inside loquat fruit at pixel level, which would be helpful to understand the detailed TSS change inside postharvest loquat fruit.
登录
查看更多内容
影响因子：
6.1
作者：
Zhou, Chun-Hua;Xu, Chang-Jie;Chen, Kun-Song
通讯作者：
Chen, Kun-Song
利用在线高光谱成像系统快速预测脱水虾的水分含量
影响因子：
6.2
作者：
Wu, Di;Shi, Hui;Liu, Kangsheng
通讯作者：
Liu, Kangsheng
影响因子：
5.6
作者：
Wu, Di;Wang, Songjing;Yao, Jiansong
通讯作者：
Yao, Jiansong
便携式光谱分析系统结合多变量分析实时监测黄酒发酵过程参数
影响因子：
8.8
作者：
Ouyang, Qin;Zhao, Jiewen;Chen, Quansheng
通讯作者：
Chen, Quansheng
影响因子：
3.9
作者：
O. Fröhlich;P. Schreier
通讯作者：
O. Fröhlich;P. Schreier