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Understanding volatile compound formation is critical for enhancing the flavor quality of mangoes. Integrated untargeted metabolomics and proteomics were employed to explore volatile compound formation in three different polyembryonic mango cultivars ("Ah Ping," "Rosa," and "Rosigold"). A total of 87 volatile compounds were identified using SPME-GC-MS. Untargeted metabolomics and proteomics resulted in identification of 508 metabolites and 4481 proteins, respectively. Integrative analysis revealed that the volatile compound formation was influenced by fatty acids, amino acids, pentose, and hexose, as well as terpenoid metabolisms. Specifically, upward expression of core enzymes in lipoxygenanse pathway was responsible for the higher levels of some C6 and C9 volatile compounds in "Ah Ping." The differential expression of key enzymes in fatty acid degradation facilitates the varied contents of straight-chain volatile compounds. The upregulation of glutamate decarboxylase and branched-chain amino acid aminotransferase upstream of butanoate metabolism led to the highest levels of butyl esters in "Ah Ping." Furthermore, the different levels of volatile furan and pyran compounds might be attributed to differential expression of critical enzymes in pentose and hexose metabolism. These findings established a metabolic and proteomic map unraveling the biosynthesis of specific volatile compounds and provided insights into understanding the characteristic flavor of mango.

Mango-fruit storage period and shelf life are prolonged by cold storage. However, chilling temperature induces physiological and molecular changes, compromising fruit quality. In our previous transcriptomic study of mango fruit, cold storage at suboptimal temperature (5 °C) activated the α-linolenic acid metabolic pathway. To evaluate changes in fruit quality during chilling, we analyzed mango "Keitt" fruit peel volatiles. GC-MS analysis revealed significant modulations in fruit volatiles during storage at suboptimal temperature. Fewer changes were seen in response to the time of storage. The mango volatiles related to aroma, such as δ-3-carene, (Z)-β-ocimene, and terpinolene, were downregulated during the storage at suboptimal temperature. In contrast, C 6 and C 9 aldehydes and alcohols-α-linolenic acid derivatives 1-hexanal, (Z)-3-hexenal, (Z)-3-hexenol, (E)-2-hexenal, and nonanal-were elevated during suboptimal-temperature storage, before chilling-injury symptoms appeared. Detection of those molecules before chilling symptoms could lead to a new agro-technology to avoid chilling injuries and maintain fruit quality during cold storage at the lowest possible temperature.

Regarding their relevance for the fungal resistance of mangoes in long supply chains, the alk(en)ylresorcinols (AR) were quantitated in peel and mesocarp throughout storage (27 days, 14 °C, ethylene absorption). The 12 'Chok Anan' and 11 'Nam Dokmai #4' lots picked between 83 and 115 days after full bloom (DAFB) had different harvest maturity indices. The development of dry matter and fruit growth indicated physiological maturity ∼100 DAFB. During storage, all fruits ripened slowly, mostly until over-ripeness and visible decay. The total AR contents always ranged at 73 ± 4.5 and 6.4 ± 0.7 mg hg(-1) of 'Chok Anan' and 'Nam Dokmai #4' peel dry weight, respectively, but only at 6.7 ± 0.7 and 0.9 ± 0.1 mg hg(-1) for the corresponding mesocarp (P ≤ 0.05). These narrow concentration ranges were contradictory to the decreasing fungal resistance. Accordingly, the alk(en)ylresorcinols have not been a deciding factor for the fungal resistance.

NMR-based metabolic analysis of foods has been widely applied in food science. In this study, we performed discrimination of five different mango cultivars, Awin, Carabao, Keitt, Kent, and Nam Dok Mai, using metabolic analysis with band-selective excitation NMR spectra. A combination of unsupervised principal component analysis (PCA) with low-field region (1)H NMR spectra obtained by band-selective excitation provided a good discriminant model of the five mango cultivars. Using F(2)-selective 2D NMR spectra, we also identified various minor components in the mango juice. Signal assignment of the minor components facilitated the interpretation of the loading plot, and it was found that arginine, histidine, phenylalanine, glutamine, shikimic acid, and trigonelline were important for classification of the five mango cultivars.