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JOURNAL OF MASS SPECTROMETRY · 2025 ·Vol. 60 ·期 9 ·e5169 · IF 2

Rapid Detection and Classification of Mango (Mangifera indica L.) Leaves by Paper Spray Ionization Mass Spectrometry

Yiqiu Wei,Guanyu Lu,Guohuan Zhang,Yiran Wang,Peiqi Luo

Paper spray ionization mass spectrometry (PSI MS) was developed for natural products detection in mango leaves and mango leaves classification. Rapid detection of plant natural products by PSI MS was achieved without complex sample preparation. Many natural products were detected, including medicinally valuable natural products. Principal component analysis (PCA) was applied for the classification of different mango varieties. The PCA result demonstrated clear differentiation between varieties, such as Guifei, Guiqi, and Tainong. This method offers significant advantages for rapid screening of natural products and evaluation of plant utilization value.

CAS / MDL: 141-78-6 153-18-4 64-17-5

研究领域: 分析化学 · 植物科学 · 质谱分析 · 天然产物化学

✓ 已验证产品关联 DOI PubMed 高影响因子

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JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS · 2020 · IF 3.209

HPLC fingerprinting-based multivariate analysis of phenolic compounds in mango leaves varieties: Correlation to their antioxidant activity and in silico α-glucoidase inhibitory ability

Lingfeng Wu,Wenhui Wu,Yanzi Cai,Congfa Li,Lu Wang

Mango leaves (MLs) have many important medical values owing to its high contents of phytochemical compounds. Among them, phenolic compounds existing in MLs showed multiple pharmacological activities. However, there is a little information about the quality evaluation and discrimination of different varieties of MLs. In the present study, the chemical compositions of MLs were identified by using high performance liquid chromatography coupled with electrospray ionization-quadrupole-time of flight-mass spectrometry (HPLC-ESI-qTOF-MS/MS). Then, the quality of ten MLs varieties collected from a same plantation was assessed according to integrated HPLC fingerprinting coupled with multivariate analysis. The results revealed that Cui Yu (S5) showed the highest TPC/TFC and the strongest bio-activity, followed by Tai Long (S7) and Hong Bao Shi (S3). Among different HPLC fingerprinting, twenty compounds were selected as common characteristic peaks, and the similarity was within the range of 0.792−0.995. Meanwhile, these varieties were divided into three groups: G1 (S3, S5, S7, and S10), G2 (S1 and S4) and G3 (S2, S6, S8, and S9). Two discriminant functions with the discriminant rate near 100 % were constructed. Additionally, neomangiferin, mangiferin, kaempferol-3- O -rutinoside, isoquercitrin and quercetin were found to be the key compounds in quality evaluation of MLs varieties. Pearson correlation coefficient analysis results confirmed that these key compounds directly contributed to the antioxidant activity and α -glucosidase inhibitory ability of MLs. Importantly, the possible inhibitory mechanisms of these key compounds against α -glucosidase were preliminary clarified by in silico analysis, and the analysis results provide a theoretical basis for future development and utilization of mango leaves byproducts.

研究领域: 植物化学 · 药理学 · 分析化学

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Rapid Detection and Classification of Mango (Mangifera indica L.) Leaves by Paper Spray Ionization Mass Spectrometry

HPLC fingerprinting-based multivariate analysis of phenolic compounds in mango leaves varieties: Correlation to their antioxidant activity and in silico α-glucoidase inhibitory ability