Seligman-Kramer method: history and application
The Seligman-Kramer method is a biochemical method that was developed by the American biochemist M. Seligman and his colleague from Columbia University P. Kramer. This method is used to determine enzyme activity in biological samples.
Story
The method was developed in the 1940s and was originally used to measure glucose-6-phosphate dehydrogenase activity. However, over time, the method was modified and used to measure the activity of other enzymes, including lactate dehydrogenase, maltase, sucrase and others.
Principle of the method
The Seligman-Kramer method is based on the formation of yellow color during the reaction between nadph and the active center of the enzyme. A superenzyme is an oxidoreductase that transfers electrons from the substance being oxidized by the enzyme to the superenzyme. This process is accompanied by a change in the color of the solution from colorless to yellow.
Application
The Seligman-Kramer method is widely used in biochemical research to measure enzyme activity in biological samples. It can be used to diagnose various diseases such as hemolytic anemia, glucose-6-phosphate dehydrogenase deficiency and others. This method can also be used to study physiological processes associated with metabolism.
Conclusion
The Seligman-Kramer method is an important biochemical method that is widely used in the study of enzymatic processes in biological systems. It allows the measurement of enzyme activity in various samples, which can be used to diagnose diseases and study physiological processes.
The Seligman-Kramer method is one of the most common methods for analyzing liquid mixtures. It is used to determine the composition of components in various types of samples, including to detect traces of drugs, toxins and other harmful substances.
The method is based on the use of NMR spectroscopy (nuclear magnetic resonance analysis), which allows one to obtain information about the chemical composition of the sample in the form of spectral lines, the intensity of which corresponds to the percentage of each component in the mixture. Spectral analysis helps determine the composition of a complex mixture of components and predict its properties based on its chemical composition.
The Seligman–Kramer method is a fairly simple but effective method. Isotopic and molecular