Pharmaceutica Analytica Acta at IgMin Research | Medicine Group
Our goal is to strengthen interdisciplinary bonds and advance the frontier of collective knowledge.
について
Pharmaceutica Analytica Acta is a dynamic field dedicated to the development, validation, and application of analytical techniques for pharmaceutical substances. This discipline is critical in ensuring the quality, safety, and efficacy of drugs, bridging the gap between pharmaceutical sciences and advanced analytical methodologies. Researchers in this domain focus on innovative approaches to analyze complex drug formulations, bioavailability, and pharmacokinetics, contributing to advancements in drug development and regulatory compliance.
Encompassing cutting-edge techniques such as spectroscopy, chromatography, and mass spectrometry, Pharmaceutica Analytica Acta plays a pivotal role in drug discovery, quality control, and therapeutic monitoring. It also addresses challenges in impurity profiling, stability studies, and bioanalytical methods, fostering precision and innovation in pharmaceutical sciences. The field's contributions are indispensable in optimizing drug formulations and enhancing patient outcomes.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
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研究論文
- AFM Analysis of Polymeric Membranes Fouling
- Adaptation of the Physical Literacy Scale for Adults into Turkish and Examination of its Psychometric Properties
- Sensor-based Sorting using De-XRT Sensor Applied to a Greenfield Copper Ore Project in Southern Brazil
- Physical Activity and Lifestyle of Female Students of the Faculty of Health Sciences University of Applied Sciences in Tarnów (Poland)
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
