High Performance Chromatography in Modern Drug Research: From Bioanalysis to Personalized Therapy

AbstractIn recent years, chromatography has emerged as a favoured analytical approach in the area of medicine, particularly for the purpose of identifying and quantifying a medication and its metabolites. Chromatography is considered to be one of the most essential analytical procedures. There are several different chromatographic methods that have been created in order to separate medications according to the features and kinds of interactions that they have. For pharmaceutical applications, these methods, in particular “High Performance Affinity Chromatography” (HPAC), “Cell Membrane Chromatography” (CMC), “Mixed Mode Chromatography” (MMC), and “High Performance Liquid Chromatography” (HPLC), are used for the aim of conducting bioanalysis of pharmaceuticals in both preclinical and clinical research. When it comes to the investigation of pharmacokinetic features of pharmaceuticals in research and development, the success of chromatography in the creation of speedy and accurate analytical procedures gives better specificity and sensitivity. In personalised medicine, it is essential to take into account the fact that the dose and impact of medications differ from one individual to the next. The use of chromatography as a promising approach in the investigation of drug-protein binding and in the assessment of clinical or pharmaceutical samples has become more popular in recent years at the expense of other methods.KeywordsChromatography in medicine, High Performance Affinity Chromatography (HPAC), Pharmaceutical bioanalysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.14169183
Primary Topic
Protein purification and stability
Type
article
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article

High Performance Chromatography in Modern Drug Research: From Bioanalysis to Personalized Therapy

Zenodo (CERN European Organization for Nuclear Research)
Protein purification and stability
article

High Performance Chromatography in Modern Drug Research: From Bioanalysis to Personalized Therapy

article en

Abstract

AbstractIn recent years, chromatography has emerged as a favoured analytical approach in the area of medicine, particularly for the purpose of identifying and quantifying a medication and its metabolites. Chromatography is considered to be one of the most essential analytical procedures. There are several different chromatographic methods that have been created in order to separate medications according to the features and kinds of interactions that they have. For pharmaceutical applications, these methods, in particular “High Performance Affinity Chromatography” (HPAC), “Cell Membrane Chromatography” (CMC), “Mixed Mode Chromatography” (MMC), and “High Performance Liquid Chromatography” (HPLC), are used for the aim of conducting bioanalysis of pharmaceuticals in both preclinical and clinical research. When it comes to the investigation of pharmacokinetic features of pharmaceuticals in research and development, the success of chromatography in the creation of speedy and accurate analytical procedures gives better specificity and sensitivity. In personalised medicine, it is essential to take into account the fact that the dose and impact of medications differ from one individual to the next. The use of chromatography as a promising approach in the investigation of drug-protein binding and in the assessment of clinical or pharmaceutical samples has become more popular in recent years at the expense of other methods.KeywordsChromatography in medicine, High Performance Affinity Chromatography (HPAC), Pharmaceutical bioanalysis.

Zenodo (CERN European Organization for Nuclear Research)
Sri Sathya Sai Institute of Higher Medical Sciences (IN)
Openalex Percentile: Top 71%
Protein purification and stability
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High Performance Chromatography in Modern Drug Research: From Bioanalysis to Personalized Therapy · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS