Quantitative Methods in Chemistry

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Overview

This course aims to train students towards appropriate scientific reporting of the experimental data and testing hypothesis using statistical analyses. It emphasizes on reproducibility of experiments and the sources of “errors” during repetitions of experiments, how to quantify and minimize wherever feasible. In the later part, it deals with the principles of volumetric analysis, separation techniques (for instance chromatography, gravimetric analysis, etc.) employed for chemicals and biomolecules. Principles of instrumentation techniques will also be discussed. INTENDED AUDIENCE : 3rd year B.Sc./3rd year BS-MS PREREQUISITES : Basic Chemistry courses, basic mathematics from school 10+2 standard INDUSTRY SUPPORT : Not approached yet, in the process.

Syllabus

COURSE LAYOUT Week 1: Chemical stoichiometry, parameters to define concentration of chemicals (normality, molarity, molality, mole-fractions, parts-per million), analytical concentration and equilibrium concentrations, p-value of concentration Week 2: Measurements and its statistical analyses (definition of mean, median, mode, variance, standard deviation, standard error, accuracy, precision), need for performing replicates/repeats,reproducibility Week 3: Classification and sources of errors, error propagation, scientific reporting data (significant figures), error curves Week 4: Hypothesis validation (null hypothesis, confidence levels, confidence intervals, one-tail test, two-tail test, use of statistical tables such as z-table, t-table, F-table, identifying outliers in data with Q-test) Week 5: Sampling, fitting and analysis of data (linear regression, single factor analysis of variance, least-significant difference). Week 6: Software-based data analysis (linear and non-linear regression) Week 7: Examples of data fitting and analysis (application to rate kinetics, gradient mixing, biomolecular folding) Week 8: Sample preparation: concept of standards (primary and secondary), traditional methods of analysis (gravimetric, volumetric, potentiometric methods) Week 9: Analytical separations (solvent extraction, chemical precipitation, chromatography, types of chromatography – size exclusion, ion exchange, affinity, gas, high pressure liquid chromatography, field-flow fractionation) Week 10: Theoretical basis of chromatography (concept of plates, theoretical plate height, plate count, resolution, retention time, retention factor, selectivity factor) Week 11: Differences between rate theory and plate theory Week 12: Protocols with video demonstration of separation techniques