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The gold standard in analytical chemistry, Dan Harris’ Quantitative Chemical Analysis provides a sound physical understanding of the principles of analytical chemistry and their applications in the disciplines
This updated book of quantitative inorganic analysis has been extended to incorporate sections of basic theory and modern approaches to sampling as well as the attendant difficulties in obtaining representative samples from bulk materials. The statistics have been restructured to provide a logical stepwise approach and the section covering solvent extraction and chromatographic procedures has been extensively revised. details of Fourier Transform techniques and derivative spectroscopy are included for the first time along with a general up-date on instrument design. A full revision has been made of the appendices and other tables have been extended to include more organic compounds and additional appendices include correlation tables for infrared, absorption characteristics for ultraviolet/visible and additional statistical tables along with essential atomic weights. chemistry is a substantial laboratory requirement, as well as for technicians and practising analysts.
Teaches students the basic techniques and equipment of the organic chemistry lab — the updated new edition of the popular hands-on guide. The Organic Chem Lab Survival Manual helps students understand the basic techniques, essential safety protocols, and the standard instrumentation necessary for success in the laboratory. Author James W. Zubrick has been assisting students navigate organic chemistry labs for more than three decades, explaining how to set up the laboratory, make accurate measurements, and perform safe and meaningful experiments. This practical guide covers every essential area of lab knowledge, from keeping detailed notes and interpreting handbooks to using equipment for c...
This text provides a basis for the teaching, learning and application of analytical chemistry. It covers rapidly developing areas with sections on calibration methods and the analysis of variance. Experimental design, optimization techniques and examples of multivariate analysis are also included.