The College of Forestry, Beijing Forestry University, 100083 Beijing, PR China; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, 100083 Beijing, PR China.
The College of Forestry, Beijing Forestry University, 100083 Beijing, PR China.
Food Res Int. 2022 Jun;156:111131. doi: 10.1016/j.foodres.2022.111131. Epub 2022 Mar 19.
As one of the major non-conventional edible legumes, different cultivars of pigeon pea have different uses according to their specificity. For the first time, the main phenotype and plant physiological parameters of ten different pigeon pea cultivars were evaluated in detail, and then a novel method using UPLC-QqQ-MS/MS has been investigated for the qualitative and quantitative analysis of eighteen active constituents originating from pigeon peas. After systematic optimization of MRM parameters, the developed method showed a good precision (RSD < 7.28%) and high recovery (91.27-113.62%) within 6 min. It was found that pigeon pea 11Y21, R7 and R10 exhibited superiority in contents of the unique active compounds of cajaninstilbene acid, cajanuslactone, longistylin A and longistylin C. Moreover, combined with the main plant physiological parameters, we can find that excessive plant growth may affect the metabolites content in pigeon pea. Meanwhile, the gene expression levels indicating that the metabolite profiles of different cultivars can be strongly influenced by genetic variation. Overall, the present work developed a valid method for the detection of various phenolic compounds, which could be applied for applicability and variety breeding of pigeon pea and also providing sufficient evidences for other utilization in the future.
作为主要的非常规食用豆类之一,不同品种的兵豆根据其特性有不同的用途。本文首次详细评价了 10 个不同兵豆品种的主要表型和植物生理参数,然后研究了一种使用 UPLC-QqQ-MS/MS 对源自兵豆的 18 种活性成分进行定性和定量分析的新方法。在对 MRM 参数进行系统优化后,该方法在 6 分钟内显示出良好的精密度(RSD<7.28%)和高回收率(91.27-113.62%)。结果发现,11Y21、R7 和 R10 号品种在 cajaninstilbene acid、cajanuslactone、longistylin A 和 longistylin C 等独特活性化合物的含量上具有优势。此外,结合主要植物生理参数,我们可以发现植物过度生长可能会影响兵豆中的代谢物含量。同时,基因表达水平表明,不同品种的代谢物图谱受遗传变异的强烈影响。总之,本研究建立了一种有效的检测各种酚类化合物的方法,可应用于兵豆的适用性和品种选育,并为未来的其他利用提供充分的证据。