Development and Validation of AI-Assisted Analytical Methods for Biochemical Compound Detection in Pharmaceutical Chemistry
Abstract
Pharmaceutical chemistry has seen a major transformation, due to the development of new analytical instruments with Artificial
Intelligence (AI) capabilities, to detect, identify and quantify biochemical compounds. Traditional analysis methods, like HPLC,
spectroscopy and mass spectrometry and biosensors, may have trouble with analytical complexity, long processing times, interference
with signals, and manual interpretation. The use of AI technologies such as machine learning and deep learning algorithms can provide
improved analytical accuracy, automated data interpretation, predictive modeling, and real-time decision-making.
The study discusses the creation and testing of analytical techniques for pharmaceutical applications using AI to identify biochemical
compounds. The proposed framework consists of implementing advanced analytical instrumentation coupled with AI-based data
preprocessing, feature extraction, compound classification and validation mechanisms. Analytical models are evaluated for reliability
and efficiency, through the evaluation of key validation parameters such as accuracy, precision, specificity, sensitivity, robustness, limit
of detection, and limit of quantification. The study also explores the potential of AI to streamline chromatographic workflows, boost
the understanding of spectroscopic signals, boost biosensor sensitivity, and expedite pharmaceutical quality assessment.
The results demonstrate that AI-enabled analytical systems can significantly boost detection sensitivity, simplify operations, increase the
degree of repeatability and enable pharmaceutical intelligent decision-making. In addition, the use of AI in smart analytical platforms
shows great promise in the areas of real-time monitoring, mobile diagnostics, sustainable analytical processes, and automated regulatory
compliance. Based on the study, it can be concluded that AI-based analytical methodologies are a revolution in the field of pharmaceutical
chemistry and they will be of crucial importance in the future drug development, quality control and biochemical analysis systems.
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