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Da Sai Lu's new product - Vaast; Series chromatography column

NegotiableUpdate on 06/10
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Overview

Da Sai Lu's new product - Vaast #174; Series chromatography column Vaast #174; It is a series of products developed by Da Sai Lu specifically for amino acid analysis, including chiral columns for amino acid analysis and AQC pre column derivatization reagents. After AQC pre column derivatization, a single chromatographic column can achieve effective separation of 21 natural amino acids (including chiral and non chiral), and accurate results can be obtained within 5 minutes!

Product Details

Da Sai Lu's new product launchVaast®Series,amino acidA new choice for chiral and efficient separation!

View®Da Sai Lu has launched a series of products specifically designed for amino acid analysis, including chiral columns for amino acid analysis and AQC pre column derivatization reagent,pass throughPre column derivation of AQC, achievable with a single chromatographic columnEffective Separation of 21 Natural Amino Acids (including Chiral and Non Chiral)Accurate results can be obtained within 5 minutes



大赛璐新品-Vaast®系列色谱柱

Da Sai Lu's new product - Vaast ® Series chromatography column

View®Amino acid chiral analysis column

Adopting an ion based chiral stationary phase based on Daicel technology, combined through chemical bonding inOn the silica gel packing with a particle size of 1.7 μ m, it not only has excellent column efficiency, but also is compatible with common chromatographic solvents, and can stably adapt to various detection equipment such as LC-MS and UV.

AQC derivatization reagent

AQC derivatization reagent (6-Aminoquinolinyl-N-hydroxysuccinimide aminoformate) and Vaast®The combination of chiral columns provides a key guarantee for achieving good separation and detection sensitivity in experiments.

View®Not only does it improve the efficiency of natural amino acid analysis, but it can also be extended to peptide synthesis for hydrolysisFmoc is a powerful tool for efficient quality control and research and development in fields such as pharmaceuticals, biotechnology, and food nutrition for impurity detection of amino acid raw materials.

Da Sai Lu's new product - Vaast ® Characteristics of Series Chromatography Column Products

1efficient separation

Complete LC-MS analysis and detection of 21 natural amino acids within 5 minutes, significantly reducing the experimental period

2Simplify the process

Single column single method design, no need to switch chromatography columns, reducing operational complexity

3High compatibility

adaptationLC-UV/LC-MS, Covering the full range of applications from research and development to quality control

4stable and reliable

High reproducibility detection is achieved for polar, alkaline, acidic, and hydrophobic amino acids

大赛璐新品-Vaast®系列色谱柱

Product advantages

Integrated solution to simplify workflow

View®The core innovation lies in providing a standardized method that can be completed in one analysis using a single chromatographic columnSeparation of 21 natural amino acids, covering chiral and non chiral analysis. It integrates specialized chromatography columns, derivatization reagents, and validated methods, reducing the steps of method development and optimization.

Improve analysis efficiency and data reliability

In research and quality control that requires precise monitoring of amino acid composition, such as peptide drug development or biotechnology analysis, this approach can effectively improve work efficiency.

inThe literature research published in 2025 demonstrated its potential for application: in the quality control of peptide synthesis, researchers successfully analyzed the protected amino acids and their unprotected chiral isomers impurities in the raw materials in one run using this method, providing more comprehensive data support for evaluating the quality of key materials.

Adapt to multiple application scenarios

This solution balances analysis speed and result stability, and is compatible with mass spectrometry detection, meeting the needs of different stages from research exploration to process monitoring.