Automated Pre-Column Derivatization for the Analysis of 23 Amino Acids

2026-09-02

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BIKAI PUBLIC APPLICATION NOTE

Automated Pre-Column
Derivatization for the Analysis
of 23 Amino Acids

BIKAI 1511 Pro HPLC • Dual-chemistry UV detection

 

Application overview

An automated pre-column derivatization workflow expands amino-acid coverage by combining OPA chemistry for primary amino acids with FMOC chemistry for secondary amino acids. The autosampler coordinates reagent handling and injection, supporting a consistent analytical sequence on the BIKAI 1511 Pro platform.

 

BIKAI 1511 Pro HPLC platform used for the reported application dataset.

23

AMINO ACIDS

2

DERIVATIZATION CHANNELS

>0.999

REPORTED CORRELATION

 

01 • ANALYTICAL APPROACH

Extending UV Detection Across a Broad Amino-Acid Panel

Many amino acids have limited native UV absorbance. Pre-column derivatization converts them into UV-active products before reversed-phase separation, improving selectivity and enabling routine UV–VIS detection. Complementary chemistries are used because primary and secondary amino groups respond differently.

OPA channel

Targets 20 primary amino acids and is monitored at 338 nm.

FMOC channel

Extends coverage to three secondary amino acids and is monitored at 262 nm.

 

Amino acids are central to nutritional, biochemical and biopharmaceutical workflows.

BIKAI 1511 Pro System Configuration

Component

Public configuration summary

Quaternary pump

Controlled solvent delivery for reversed-phase separation

Autosampler

Programmed reagent handling, derivatization and injection

Column oven

Stable thermal environment for chromatographic consistency

UV–VIS detector

Complementary monitoring of OPA and FMOC derivatives

Automated sequence

The autosampler carries out a controlled sequence of reagent handling, mixing, reaction and injection. Exact recipes, quantities, timings and instrument programming are reserved for supported method transfer.

 

 

02 • PRIMARY AMINO ACIDS

OPA Derivatization — 338 nm Channel

Twenty primary amino acids are evaluated as OPA derivatives. In the representative training dataset, the 338 nm trace displays a distributed series of well-defined responses across the separation window, supporting qualitative review and quantitative evaluation of a broad panel.

 

Figure 1. Representative OPA-channel chromatogram for the primary amino-acid panel at 338 nm.

20

PRIMARY AMINO ACIDS

338 nm

UV MONITORING

OPA

DERIVATIZATION CHEMISTRY

Interpretation

The chromatographic profile demonstrates the capability of the system to resolve a multi-component amino-acid standard under the evaluated conditions. Complete peak-assignment and integration tables are deliberately not disclosed in this public version; they are supplied as part of the controlled application-transfer package.

Where this channel adds value

The OPA channel provides the main analytical coverage for routine profiling in food and feed testing, fermentation monitoring, pharmaceutical development and biopharmaceutical research. Matrix-specific selectivity and recovery should be confirmed during local validation.

 

03 • SECONDARY AMINO ACIDS

FMOC Derivatization — 262 nm Channel

The complementary FMOC channel extends the panel to hydroxyproline, sarcosine and proline. Monitoring at 262 nm provides a dedicated view of these secondary amino-acid derivatives and completes the reported 23-analyte scope.

 

Figure 2. Representative FMOC-channel chromatogram for secondary amino acids at 262 nm.

3

SECONDARY AMINO ACIDS

262 nm

UV MONITORING

FMOC

DERIVATIZATION CHEMISTRY

Calibration Performance

A four-level calibration evaluation spanning 25–1000 pmol/µL was reported for the complete amino-acid panel. Correlation coefficients exceeded 0.999 for all 23 analytes in the training dataset, indicating strong proportionality of detector response across the evaluated range.

 

What is intentionally omitted

Individual calibration equations, response factors, peak-order assignments and detailed preparation instructions are not included. These controlled details are provided by BIKAI after application review and technical qualification.

Performance figures describe the supplied training dataset and should not be interpreted as a universal specification. Laboratories should establish acceptance criteria appropriate to their matrix, concentration range and intended use.

 

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