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3. Record the 200-350 nm UV spectra of the given compounds (acetone, acetaldehyde, 2-
propanol, acetic acid) in water. Comment on the effect of structure on the UV spectra of
organic compounds.
4. Analyse the given vibration-rotation spectrum of HCl(g)
SUGGUESTED READINGS:
For Theory:
1. Fundamentals of Molecular Spectroscopy by Banwell, & Mc Cash.
2. Introductory Quantum Chemistry by A. K. Chandra,
3. Principles of Physical Chemistry by Puri, Sharma and Pathania.
4. Physical Chemistry by S.C. Khetarpal, G.S, Sharma and R.K. Kalia.
5. A text Book of Physical Chemistry by K.K. Sharma and I.K. Sharma
6. Physical Chemistry by P.N. Kapil and S.K. Guglani.
7. Elements of Physical Chemistry by Puri, Sharma and Pathania.
For Lab:
1. Experimental Physical Chemistry by B.D Khosla
2. Selected experimental in Physical Chemistry, Vol. I by J N Gurtu and R Kapoor.
3. Experimental Physical Chemistry by J C Ghose.
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4. Systematic Practical Chemistry for B.Sc 1 , 2 and 3 year by P.C Kamboj
5. Vogel‘s Quantitative Chemical Analysis, by J.Mendham.
Chem.222 Analytical Chemistry 3+1
LEARNING OBJECTIVES:
The learning objectives: of this course are as follows:
To acquire basic knowledge of the analytical chemistry of important techniques that will
provide the basis for their industrial production methods.
To provide an adequate mastery of analytical methods used for the determination of
commercial/domestic raw materials and finished product quality.
LEARNING OUTCOMES:
By the end of this course, students will be able to:
understand the fundamental concepts of partition coefficients and their role in achieving
separations across different types of chromatography.
develop the core skills to parse existing chromatographic protocols and identify the key
factors influencing a chromatography experiment.
Understand the underlying assumptions of the most common chromatographic separation
techniques and approaches to method validation.
THEORY (45 Hours)
UNIT – I: (6 Hours)
Qualitative and quantitative aspects of analysis: Sampling, evaluation of analytical data,
errors, accuracy and precision, methods of their expression, normal law of distribution if
indeterminate errors, statistical test of data; F, Q and t test, rejection of data, and confidence
intervals.
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