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A fragmentation database of soyasaponins by liquid chromatography with a photodiode array detector and tandem mass spectrometry
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2021, v.34 no.4, pp.172-179
https://doi.org/10.5806/AST.2021.34.4.172
(Bioresources Science Major, United Graduate School of Agricultural Science, Iwate University)
(Bioresources Science Major, United Graduate School)
(Bioresources Science Major, United Graduate School of Agricultural Science, Iwate University)
(Bioresources Science Major, United Graduate School of Agricultural Science, Iwate University)
(Bioresources Science Major, United Graduate School)
(Bioresources Science Major, United Graduate School of Agricultural Science, Iwate University)
(Bioresources Science Major, United Graduate School of Agricultural Science, Iwate University)
Haereon,
S.
, Kyosuke,
M.
, Yohei,
O.
, &
Chigen,
T.
(2021). A fragmentation database of soyasaponins by liquid chromatography with a photodiode array detector and tandem mass spectrometry. Analytical Science and Technology, 34(4), 172-179, https://doi.org/10.5806/AST.2021.34.4.172
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Abstract
Oleanane-type triterpenoids exist as secondary metabolites in various plants. In particular, soyasaponin, an oleanane-type triterpenoid, is abundant in the hypocotyl of soybean, one of the most widely cultivated crops in the world. Depending on their chemical structure, soyasaponins are categorized as group A saponins or group DDMP (2,3-dihydro-2,5-dihydroxy-6-methyl-4H-pyran-4-one) saponins. The different soyasaponin chemical structures present different health functionalities and taste characteristics. However, conventional phenotype screening of soybean requires a substantial amount of time for functionality of soyasaponins. Therefore, we attempted to use liquid chromatography with a photodiode array detector and tandem mass spectrometry (LCPDA/ MS/MS) for accurately predicting the phenotype and chemical structure of soyasaponins in the hypocotyl of five common soybean natural mutants. In this method, the aglycones (soyasapogenol A [SS-A] and soyasapogenol B [SS-B]) were detected after acid hydrolysis. These results indicated that the base peak and fragmentation differ depending on the chemical structure of soyasaponin with aglycone. Thus, a fragmentation database can help predict the chemical structure of soyasaponins in soyfoods and plants.
- keywords
- triterpenoid saponins, soyasaponins, soybean, LC-PDA/MS/MS
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