Yin Zhibin, Dong Tao, Huang Wenjie, Du Mingyi, Chen Dong, Fernie Alisdair R, Yi Ganjun, Yan Shijuan
Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization (Ministry of Agriculture and Rural Affairs), Guangdong Province Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, 510640, China.
Food Chem X. 2022 Jun 20;15:100371. doi: 10.1016/j.fochx.2022.100371. eCollection 2022 Oct 30.
Banana is one of most popular fruits globally due to health-promoting and disease-preventing effects, yet little is known about metabolic changes across banana varieties. Here, we integrated gold nanoparticle (AuNP)-assisted laser desorption/ionization mass spectrometry imaging (LDI-MSI) and metabolomics to investigate the spatiotemporal distribution and levels of metabolites within Brazil and Dongguan banana pulps during postharvest senescence. Metabolomics results indicated that both postripening stages and banana varieties contribute to metabolite levels. Benefiting from improved ionization efficiency of small-molecule metabolites and less peak interference, we visualized the spatiotemporal distribution of sugars, amino acids (AAs) and monoamines within pulps using AuNP-assisted LDI-MSI for the first time, revealing that AAs and monoamines exclusively accumulated in the middle region near the seed zone. Monosaccharides and di/trisaccharides were generally distributed across entire pulps but exhibited different accumulation patterns. These findings provide a guide for breeding new varieties and improving extraction efficiency of bioactive compounds.
香蕉因其促进健康和预防疾病的功效而成为全球最受欢迎的水果之一，但人们对不同香蕉品种间的代谢变化却知之甚少。在此，我们结合金纳米颗粒（AuNP）辅助激光解吸/电离质谱成像（LDI-MSI）和代谢组学，研究了巴西蕉和东莞香蕉果肉采后衰老过程中代谢物的时空分布及含量。代谢组学结果表明，后熟阶段和香蕉品种均会影响代谢物水平。受益于小分子代谢物电离效率的提高和峰干扰的减少，我们首次使用AuNP辅助LDI-MSI可视化了果肉中糖、氨基酸（AAs）和单胺的时空分布，发现AAs和单胺仅在种子区附近的中间区域积累。单糖和二糖/三糖普遍分布于整个果肉，但呈现出不同的积累模式。这些发现为新品种培育和提高生物活性化合物的提取效率提供了指导。
