Song Shiyu, Wang Zhenjie, Pan Leiqing, Tu Kang
College of Food Science and Technology, Nanjing Agricultural University, 666 Bin Jiang Avenue, Nanjing 210095, China.
Sanya Institute of Nanjing Agricultural University, Sanya 572024, China.
Foods. 2025 Jun 14;14(12):2099. doi: 10.3390/foods14122099.
Hyperspectral microscope imaging (HMI) was employed to evaluate the physiochemical properties of and the large intra-variability in individual fruit of 'Xia Hui 6' peaches during storage, which gave insights into the heterogeneity of peach fruits at the microscale. The physicochemical characteristics such as firmness (FI), soluble sugar content (SSC), and * value of peaches showed significant changes, while the microstructure of the tissues broke down. Principal component analysis (PCA) was applied to peach tissues from the sunny side and shady side at different storage stages, which allowed us to clearly visualize the distribution of sugars, water, and pigments at the cellular scale. Single-feature variables were constructed to clarify the correlation between the characteristic bands and physicochemical parameters based on Pearson correlation analysis, with an R of 0.99 for firmness at 588 nm, 0.98 for titratable acidity (TA) at 432 nm, 0.88 for the * value at 430 nm and 0.83 for the * value at 426 nm. This work demonstrated that HMI technology as an accurate and highly effective tool in evaluating the quality of 'Xia Hui 6' peaches and targeting, allowing us to visualize the spatial heterogeneity within peach fruit tissues.
采用高光谱显微镜成像(HMI)技术评估“夏晖6号”桃果实贮藏期间的理化性质及个体果实间的较大变异性,这有助于深入了解桃果实在微观尺度上的异质性。桃果实的硬度(FI)、可溶性糖含量(SSC)和值等理化特性发生了显著变化,同时组织的微观结构遭到破坏。对不同贮藏阶段阳面和阴面的桃组织进行主成分分析(PCA),使我们能够在细胞尺度上清晰地观察到糖、水和色素的分布情况。基于Pearson相关分析构建单特征变量,以阐明特征波段与理化参数之间的相关性,其中588 nm处硬度的相关系数R为0.99,432 nm处可滴定酸度(TA)的相关系数R为0.98,430 nm处值的相关系数R为0.88,426 nm处*值的相关系数R为0.83。这项工作表明,HMI技术是评估“夏晖6号”桃果实品质的一种准确且高效的工具,能够让我们直观地看到桃果实组织内的空间异质性。