Method validation is a crucial process in analytical chemistry aimed at assessing the reliability, accuracy, and suitability of an analytical method for its intended application. It involves demonstrating that the method is capable of providing accurate and precise results within specified limits. Method validation typically includes evaluating parameters such as linearity, accuracy, precision, specificity, limit of detection (LOD), limit of quantification (LOQ), and robustness. Validation protocols are tailored to the specific requirements of the analytical method and the regulatory standards applicable to the industry or field. Validation studies are conducted using reference standards, spiked samples, and real samples to assess the method's performance under various conditions. Validation parameters are often determined through statistical analysis of experimental data. Method validation ensures that analytical results are reliable and reproducible, providing confidence in the quality of data generated. Regulatory agencies such as the FDA, EPA, and ICH provide guidelines and requirements for method validation in different industries. Continuous monitoring and periodic re-validation of methods are essential to ensure ongoing compliance and reliability. Collaboration between analytical chemists, quality assurance personnel, and regulatory experts is crucial for successful method validation and adherence to regulatory requirements.
Title : Eliminating implant failure in humans with nano chemistry: 30,000 cases and counting
Thomas J Webster, Brown University, United States
Title : Synthesis of chitosan composite of metal organic framework for the adsorption of dyes, kinetic and thermodynamic approach
Tooba Saeed, University of Peshawar, Pakistan
Title : Synthesis, ADMET, PASS, molecular docking, and dynamics simulation investigation of novel octanoyl glucoopyranosides & valeroyl ribofuranoside esters.
Hasinul Babu, University of Chittagong, Bangladesh
Title : Prospective polyoxometalate-based covalent organic framework heterogeneous catalysts
Arash Ebrahimi, Comenius University in Bratislava, Slovenia
Title : Utilizing Generative AI for Interactive Borane Modeling: Insights from Wade's Rule in Undergraduate Education
Mai Yan Yuen, The University of Hong Kong, Hong Kong
Title : Molecularly imprinted polymer-bimetallic nanoparticle based electrochemical sensor for dual detection of phenol iosmers micopollutants in water
Melkamu Biyana Regasa, Wollega University, Ethiopia