Top Methods Used in Amino Acid Analysis

There are quite a number of ways used in regards to the analysis of amino acids. One of the most common ones, however, is a method known as HPLC, because it is the easiest, and it offers guaranteed quality results, but there are still others, which can provide very good results.

Below is a brief look at some of the top methods used in this field:

Post Column Reaction Detection Method

Post column reaction detection method involves amino acid separation and the use of derivitization reagent delivery. The reagents react with the amino acids before the products are subjected to a detector. With process automation, this process has led to very good quantitative and performance reducibility. Again, since separation begins before reaction takes place, the efficiency obtained by this method is very high and less prone to a sample matrix. Consequently, the method can be used for a wide range of amino acid analyses.

Amino Acid Analysis

Detection type methods

Detection type method features the use of ultra violet rays and the absorption of the carboxyl group in the range of 200 and 210nm. Most of the time, it is not possible to analyze certain types of amino acids as is without adequate selectivity and sensitivity. Ultimately, detection type methods of amino acid analysis usually end up with the application of derivitization methods.

Pre-label methods

Amino acid analysis featuring this method involves the derivitization of the various components of amino acids before they are inserted. This is done to have the products separated before the detection stage. This method comes with a number of benefits such as low rate of reagent consumption, unreacted detergents will not have any effects in the separation column, and it increases sensitivity through the use of expensive reagents.

This method also has a few shortcomings such as the sample matrix having effects on the final efficiency of the reaction products and the reactants. This may not just make the resulting amino acids unstable, but it can also lead to errors during the quantization of the results.