Development and Optimisation of an HPLC–MS/MS Workflow for Profiling Selenium and Sulphur Amino Acids in Soybean Leaves and Investigation of Se–S Metabolic Interactions

A derivatisation-free HPLC–MS/MS method was developed and validated for the simultaneous quantification of selenium- and sulphur-containing amino acids in soybean leaves, and applied to a 3 × 3 factorial hydroponic experiment probing selenium–sulphur metabolic interactions. The method resolves five biologically informative analytes (Cys2, SeCys2, MeSeCys, Met, SeMet) within 1.5 min through multiple reaction monitoring (MRM). Ultrasound-assisted extraction (UAE) of the free fraction was jointly optimised for both analyte classes by the response-surface methodology; enzymatic hydrolysis of the extraction residue recovered the protein-bound fraction on the same platform. Limits of detection ranged from 0.036 to 0.556 µg L−1, intra-day relative standard deviations were below 5%, and spike recoveries fell between 92.3 and 117.4%. Free SeAA and SAA pools were negatively correlated across the nine treatments (R2 = 0.83), consistent with competitive Se–S assimilation, whereas bound pools were positively correlated (R2 = 0.89), reflecting proportional protein-level incorporation. A regime of 1–5 mM of sulphate with 20 µM of selenite yielded the highest bound organo-Se with near-normal growth, providing leaf-level evidence that may inform future seed-focused studies aimed at Se-enriched soy-protein ingredient development.

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Publication Details

Journal
Molecules
Published
2026-05-22
DOI
https://doi.org/10.3390/molecules31111780
Primary Topic
Selenium in Biological Systems
Type
article
Field-Weighted Citation Impact
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article

Development and Optimisation of an HPLC–MS/MS Workflow for Profiling Selenium and Sulphur Amino Acids in Soybean Leaves and Investigation of Se–S Metabolic Interactions

Jun Men, Xiaohui Cai, Yili Hu, Zhixian Qiao et al.
Molecules
Selenium in Biological Systems
article

Development and Optimisation of an HPLC–MS/MS Workflow for Profiling Selenium and Sulphur Amino Acids in Soybean Leaves and Investigation of Se–S Metabolic Interactions

Jun Men, Xiaohui Cai, Yili Hu, Zhixian Qiao, Qingwu Yang
article en

Abstract

A derivatisation-free HPLC–MS/MS method was developed and validated for the simultaneous quantification of selenium- and sulphur-containing amino acids in soybean leaves, and applied to a 3 × 3 factorial hydroponic experiment probing selenium–sulphur metabolic interactions. The method resolves five biologically informative analytes (Cys2, SeCys2, MeSeCys, Met, SeMet) within 1.5 min through multiple reaction monitoring (MRM). Ultrasound-assisted extraction (UAE) of the free fraction was jointly optimised for both analyte classes by the response-surface methodology; enzymatic hydrolysis of the extraction residue recovered the protein-bound fraction on the same platform. Limits of detection ranged from 0.036 to 0.556 µg L−1, intra-day relative standard deviations were below 5%, and spike recoveries fell between 92.3 and 117.4%. Free SeAA and SAA pools were negatively correlated across the nine treatments (R2 = 0.83), consistent with competitive Se–S assimilation, whereas bound pools were positively correlated (R2 = 0.89), reflecting proportional protein-level incorporation. A regime of 1–5 mM of sulphate with 20 µM of selenite yielded the highest bound organo-Se with near-normal growth, providing leaf-level evidence that may inform future seed-focused studies aimed at Se-enriched soy-protein ingredient development.

MoleculesVol. 31(11)
Wuhan Polytechnic University (CN), Chinese Academy of Sciences (CN), Institute of Hydrobiology (CN)
Hubei Provincial Department of Education, Natural Science Foundation of Hubei Province
Life below water
Openalex Percentile: Top 7%
Selenium in Biological Systems
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