Abstract

Molar absorptivity plays a crucial role in clinical biochemistry assays, offering an alternative or complementary approach to standard curve calibration in spectrophotometry. This short communication explores its applications in enzymatic and colorimetric assays, facilitating the direct quantification of biomolecules such as NADH, glucose, cholesterol, and various enzymes. Advances in computational methods, including machine learning, have enabled the prediction of molar absorption coefficients, potentially enhancing detection strategies. Additionally, biosensors and optical detection methods leverage molar absorptivity for improved quantification in point-of-care testing (POCT). However, ensuring analytical accuracy requires rigorous standardization and validation of molar absorptivity values. Future research should focus on refining computational models and establishing standardized protocols to enhance clinical applicability.

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