ArticleMetabolites2022
In-Needle Pre-Column Derivatization for Amino Acid Quantification (iPDAQ) Using HPLC.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
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- Dataset on the generation and inhibitor-based selection ofData in brief · 2026Article
- Saccharomyces cerevisiae SC-8303 Reduces Fructans in White Pan Bread While Preserving Baking Quality.Journal of food science · 2026Article
- Enhanced amino acid biosynthesis in Phaffia rhodozyma via herbicide-induced selection.Journal of industrial microbiology & biotechnology · 2024Article
- Analysis Profiling of 48 Endogenous Amino Acids and Related Compounds in Human Plasma Using Hydrophilic Interaction Liquid Chromatography-Tandem Mass Spectrometry.Molecules (Basel, Switzerland) · 2024Article
- Creating Single-Cell Protein-ProducingScientifica · 2024Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
Pre-column fluorescent derivatization has been used for the fast quantification of amino acids using high-performance liquid chromatography (HPLC) systems. However, it generally requires an offline in-vial derivatization process with multiple derivatization reagents. The offline derivatization requires the same number of reaction vials as the number of sample vials for use as a reaction chamber for the derivatization reaction in an autosampler. Therefore, the number of samples analyzed per batch using the pre-column derivatization method is halved. To benefit from the pre-column derivatization method, we transformed the derivatization process from an offline chamber process to an online in-needle process (in-needle Pre-column Derivatization for Amino acids Quantification; iPDAQ). Fluorescent derivatization in the injection needle obviated the need for vacant vials as reaction chambers. Consequently, the throughput per batch improved up to two times, and the consumption of derivatization reagents was reduced to less than one-tenth of that in the conventional vial method. We demonstrated to separate and quantify the amino acids in various biological samples. Herein, we presented a novel HPLC-based amino acid quantification method that enables the continuous analysis of a large number of samples. The iPDAQ facilitates accurate amino acid quantification due to the automation of derivatization and achieves improvement in the throughput and reduction of analysis labor.
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Registered trials
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