Analytical Chemistry Department, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, India.
Postharvest Management Division, Central Institute for Subtropical Horticulture, Lucknow, India.
Food Chem. 2015 Jun 1;176:91-8. doi: 10.1016/j.foodchem.2014.12.034. Epub 2014 Dec 17.
Mango (Mangifera indica) fruit is one of the important commercial fruit crops of India. Similar to other tropical fruits it is also highly perishable in nature. During storage/ripening, changes in its physico-chemical quality parameters viz. firmness, titrable acidity, total soluble solid content (TSSC), carotenoids content, and other biochemicals are inevitable. A uni-dimensional double-development high-performance thin-layer chromatography (UDDD-HPTLC) method was developed for the real-time monitoring of mangiferin and lupeol in mango pulp and peel during storage. The quantitative determination of both compounds of different classes was achieved by densitometric HPTLC method. Silica gel 60F254 HPTLC plates and two solvent systems viz. toluene/EtOAC/MeOH and EtOAC/MeOH, respectively were used for optimum separation and selective evaluation. Densitometric quantitation of mangiferin was performed at 390nm, while lupeol at 610nm after post chromatographic derivatization. Validated method was used to real-time monitoring of mangiferin and lupeol content during storage in four Indian cultivars, e.g. Bombay green (Bgreen), Dashehari, Langra, and Chausa. Significant correlations (p<0.05) between of acidity and TSSC with mangiferin and lupeol in pulp and peel during storage were also observed.
芒果（Mangifera indica）是印度重要的商业水果作物之一。与其他热带水果一样，它在自然状态下也极易腐烂。在贮藏/成熟过程中，其理化质量参数如硬度、可滴定酸度、总可溶性固形物含量（TSSC）、类胡萝卜素含量和其他生物化学物质的变化是不可避免的。本研究建立了一种一维双展开高效薄层色谱（UDDD-HPTLC）方法，用于实时监测芒果果肉和果皮中芒果苷和羽扇豆醇在贮藏过程中的变化。采用密度计量 HPTLC 法对这两种不同类别的化合物进行定量测定。使用硅胶 60F254 HPTLC 板和两种溶剂系统，即甲苯/乙酸乙酯/甲醇和乙酸乙酯/甲醇，分别进行最佳分离和选择性评价。芒果苷在 390nm 处进行密度计量定量，羽扇豆醇在 610nm 处进行柱后衍生化定量。采用验证后的方法对四种印度品种（Bgreen、Dashehari、Langra 和 Chausa）在贮藏过程中果肉和果皮中芒果苷和羽扇豆醇的含量进行实时监测。还观察到贮藏过程中果肉和果皮中酸度和 TSSC 与芒果苷和羽扇豆醇之间存在显著相关性（p<0.05）。
