Spatio-temporal monitoring of maturation, ripening, and fungal rot development in “Hass” avocados using quantitative magnetic resonance imaging

IF 7.3 1区 农林科学 Q1 AGRONOMY
Takahiro Matsui , Guylaine Collewet , Kento Koyama , Maja Musse
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Abstract

Maturity, ripeness, and fungal rot are key quality attributes of avocados that interact to determine consumer acceptance, market value, and postharvest losses. We applied quantitative magnetic resonance imaging (MRI) techniques to simultaneously and non-invasively assess these three internal attributes. Healthy, fungal-inoculated, and naturally infected “Hass” avocados were ripened under controlled conditions and scanned with a 1.5 T whole-body system to generate transverse relaxation time (T2) maps, lipid fraction maps, apparent micro-porosity maps, and vascular structure images. Linear regression between lipid fraction and dry matter content yielded a root mean squared error (RMSE) of 2.8 %, indicating that MRI can reliably assess fruit maturity. In contrast, neither T2, apparent micro-porosity, nor lipid fraction values captured changes in mesocarp firmness during ripening. In infected tissue, T2 initially increased and subsequently decreased, whereas apparent micro-porosity increased at later stages. Elevated T2 values delineated lesion peripheries before visible pulp discoloration or histological damage occurred. Furthermore, serial MRI monitoring from unripe to overripe stages enabled tracking of fungal development within individual fruit, revealing distinct morphological patterns: stem-end rots advanced longitudinally along vascular bundles, whereas body rots spread radially through parenchyma. These findings demonstrate that MRI is a suitable tool for postharvest quality monitoring and for studying fruit–pathogen interactions in avocados and other fleshy fruit.
利用定量磁共振成像技术对“哈斯”鳄梨成熟、成熟和真菌腐烂发展的时空监测
成熟度、成熟度和真菌腐烂是牛油果的关键质量属性,它们相互作用决定了消费者的接受程度、市场价值和采后损失。我们应用定量磁共振成像(MRI)技术同时和非侵入性评估这三个内部属性。健康、真菌接种和自然感染的“Hass”鳄梨在受控条件下成熟,并用1.5 T全身系统扫描,生成横向松弛时间(T2)图、脂质分数图、表观微孔隙率图和血管结构图。脂质含量与干物质含量线性回归的均方根误差(RMSE)为2.8 %,表明MRI可以可靠地评估果实成熟度。相比之下,T2、表观微孔隙度和脂质分数值都没有捕捉到成熟过程中果皮硬度的变化。在感染组织中,T2最初升高,随后降低,而表观微孔隙度在后期增加。在可见的牙髓变色或组织学损伤发生之前,升高的T2值描绘了病变的周围。此外,从未成熟到过成熟阶段的连续MRI监测可以跟踪单个果实中的真菌发育,揭示出不同的形态模式:茎端腐烂沿着维管束纵向发展,而体腐则通过实质径向传播。这些发现表明,MRI是一种适合于采后质量监测和研究鳄梨和其他肉质水果与病原体相互作用的工具。
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来源期刊
Postharvest Biology and Technology
Postharvest Biology and Technology 农林科学-农艺学
CiteScore
12.00
自引率
11.40%
发文量
309
审稿时长
38 days
期刊介绍: The journal is devoted exclusively to the publication of original papers, review articles and frontiers articles on biological and technological postharvest research. This includes the areas of postharvest storage, treatments and underpinning mechanisms, quality evaluation, packaging, handling and distribution of fresh horticultural crops including fruit, vegetables, flowers and nuts, but excluding grains, seeds and forages. Papers reporting novel insights from fundamental and interdisciplinary research will be particularly encouraged. These disciplines include systems biology, bioinformatics, entomology, plant physiology, plant pathology, (bio)chemistry, engineering, modelling, and technologies for nondestructive testing. Manuscripts on fresh food crops that will be further processed after postharvest storage, or on food processes beyond refrigeration, packaging and minimal processing will not be considered.
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