ArticleFood chemistry: X2024
High-sensitivity profiling of dipeptides in sauce-flavor Baijiu Daqu by chemical derivatization and ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry.
Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Ecological Risks in Daqu Storage and Their Impact on Baijiu Flavor: Precision Process Strategies for Damage Mitigation While Preserving Aroma.Foods (Basel, Switzerland) · 2026Review
- Differential Non-Volatile Metabolomics in High- and Low-Alcohol Strong-Flavor Baijiu by Non-Targeted Approach.Foods (Basel, Switzerland) · 2025Article
- Mining the Impact of Mechanical-Stamping Heterogeneity on the Macro- and Micro-Levels ofFoods (Basel, Switzerland) · 2025Article
- An Integrated Approach for the Comprehensive Characterization of Metabolites in Broccoli (Plants (Basel, Switzerland) · 2025Article
- Characterizing the Contribution of Strain Specificity to the Microbiota Structure and Metabolites ofFoods (Basel, Switzerland) · 2024Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
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Abstract
Dipeptides in sauce-flavor Baijiu Daqu are protein degradation products during the fermentation of Daqu, which are believed to play a crucial role in the flavor and quality of Baijiu. Herein, we integrated dansyl chloride derivatization with ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) for comprehensively profiling dipeptides in Daqu. The derivatization efficiency was higher than 99.1 % for all 17 dipeptide standards under the optimized derivatization conditions. In total, 118 dipeptides were detected in Daqu. The method was validated and the analytical characteristics including the linearity (spanned across 2-4 orders of magnitude), precision (1.2-19.9 %), limit of detection (varied from 1.1 to 53.4 pmol/mL) and the stability (3.6-15.8 %) are satisfactory. The usefulness of the method was examined by studying the distribution characteristics of dipeptides in Daqu under different production conditions. The present method provides an effective and robust strategy for comprehensively analyzing dipeptide compounds in complex biological samples.
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