Paper Title

AI IN ANALYTICAL CHEMISTRY: TRANSFORMING CHROMATOGRAPHY FOR HEALTH DIAGNOSTICS

Article Identifiers

Registration ID: IJNRD_225792

Published ID: IJNRD2407493

DOI: Click Here to Get

Authors

Parvathi Bheemireddi , Dannina Priyanka , Galari Rajkumar , Davuluru Archana , Ganesh Kumar Mukalla

Keywords

Chromatography, Disease Diagnosis, Hemoglobinopathies, Integration, Artificial intelligence, Immunoassays, Crystallography, Electrophoresis.

Abstract

Chromatography can be used in the diagnosis of diseases to separate and examine complicated biological samples like blood, urine, or the presence of particular substances like biomarkers, metabolites, or proteins that may indicate the presence of disease. The sensitivity, precision, and speed of chromatography technologies have improved throughout time, enabling the detection and quantification of biomolecules linked to a variety of disorders. Chromatography can be merged with other techniques like NMR and Mass spectroscopy in order to overcome various drawbacks that prevent it from being used alone for illness detection[19], such as time-consuming skill requirements, sensitivity restrictions, sample interference, etc. Our goal is to improve the accuracy and efficiency of chromatography in illness diagnosis for a future that is healthier by merging it with current Artificial Intelligence (AI) technologies [12]. It aids in the discovery of biomarkers linked to particular diseases. Analyzing the changes in the early and late stages of the disease is also beneficial. Chromatography can be used to examine malignancies, neurological illnesses, immunological disorders, metabolic disorders, and to track the effectiveness of treatment when combined with AI. The incorporation of chromatography will facilitate the diagnosis of diseases and offer precise, timely, and comprehensive insights into the molecular and chemical constituents of biological materials.

How To Cite (APA)

Parvathi Bheemireddi, Dannina Priyanka, Galari Rajkumar , Davuluru Archana , & Ganesh Kumar Mukalla (July-2024). AI IN ANALYTICAL CHEMISTRY: TRANSFORMING CHROMATOGRAPHY FOR HEALTH DIAGNOSTICS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), f930-f940. https://ijnrd.org/papers/IJNRD2407493.pdf

Issue

Volume 9 Issue 7, July-2024

Pages : f930-f940

Other Publication Details

Paper Reg. ID: IJNRD_225792

Published Paper Id: IJNRD2407493

Downloads: 000121975

Research Area: Pharmacy

Country: Ankapalle, Dist., Andhra pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407493.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407493

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 9 | September 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: September 2025

Current Issue: Volume 10 | Issue 9 | September 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Sep-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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