Comparative Analysis of Chilling Injury in Banana Fruit During Storage: Physicochemical and Microstructural Changes, and Early Optical-Based Nondestructive Identification
Year: 2025
Type: article
Abstract: Chilling injury (CI) during postharvest storage seriously impairs bananas' quality and marketability. This study systematically investigated CI mechanisms through physicochemical, microstructural, and optical analyses and innovatively developed a hyperspectral imaging (HSI)-based approach for early CI detection. Bananas stored at suboptimal (7 °C) and optimal (13 °C) conditions exhibited distinct physicochemical changes. CI progression was related to increased browning symptoms, an abnormal moisture redistribution (reduced pulp moisture content), and delayed softening. Microstructural analysis revealed membrane destabilization, cellular lysis, intercellular cavity formation, and inhibited starch hydrolysis under chilling stress. Hyperspectral microscope imaging (HMI) captured chilling-induced spectral variations (400-1000 nm), enabling the t-SNE-based clustering of CI-affected tissues. Machine learning models using first derivative (1-st)-processed spectra achieved a high accuracy. Both PLS-DA and RF had a 99% calibration accuracy and 98.5% prediction accuracy for CI classification. Notably, HSI detected spectral signatures of early CI (2 days post-chilling treatment) before visible symptoms, achieving a 100% identification accuracy with an optimized PLS-DA combined with 1-st processing. This study provides a theoretical basis for studying fruit CI mechanisms and a novel nondestructive optical method for early CI monitoring in postharvest supply chains.
Source: Foods
Authors: Hui Ma, Lingmeng Hu, Jingyuan Zhao, Jie He, Anqi Wen, Daizhu Lv, Zhi Xu, Weijie Lan, Leiqing Pan
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $3,499
Funders: National Natural Science Foundation of China, Natural Science Foundation of Hainan Province, Chinese Academy of Tropical Agricultural Sciences, Priority Academic Program Development of Jiangsu Higher Education Institutions, Key Research and Development Project of Hainan Province, National Key Research and Development Program of China
Awards: G1217434258, G1263383665, G1514164285, G1605102358, G1632474473, G1880409905, G1907584844, G2392830002, G2708595075, G2864464437, G3349186944, G340107405, G346382517, G3640647638, G3710780106, G4125824184, G4153536032, G4250244660, G4554108992, G4727700997, G5015565263, G5200632121, G5204100915, G5338579698, G5362808772, G5943769444, 热带特色水果采后病害细胞尺度光学响应机制及检测研究, G614173959, G6234989847, G6264616060, G6301843028, G6328041685, G6424535553, G6577732742, G6886595001, G7007841752, G7142310060, G7228235419, G7500897186, G7613056527, G7787584811, G8275117518, G8496081309, G858571163, G8586753219, G8918811016
OpenAlex ID: W4409370635
