Unit 1
UNIT I- UV and IR spectroscopy 8 Hours
Wood ward – Fieser rule for 1,3- butadienes, cyclic dienes and α, β-carbonyl compounds and interpretation compounds of enones. (3 hrs)
FTIR, Interpretation of organic compounds. (5hrs)
| Course Name | Advanced Spectral Analysis |
| Course Code | MPC201T |
| Program | M. Pharm. Pharmaceutical Chemistry |
| Semester | 2 |
| Credits | 3 |
| Campus | Kochi |
Wood ward – Fieser rule for 1,3- butadienes, cyclic dienes and α, β-carbonyl compounds and interpretation compounds of enones. (3 hrs)
FTIR, Interpretation of organic compounds. (5hrs)
Interpretation of organic compounds.
Mass fragmentation and its rules: Fragmentation of important functional groups like alcohols, amines, carbonyl groups and alkanes, Meta stable ions, Mc Lafferty rearrangement, Ring rule, Isotopic peaks, Interpretation of organic compounds.
Introduction, Principle, Instrumentation, and Applications.
UNIT V- Structural Characterization of Natural Compounds 5 Hours Structural characterization of natural compounds using IR,1HNMR, 13CNMR, and MS Spectroscopy of specific drugs e.g., Penicillin, Morphine, Camphor, Vit-D, Quercetin, and Digitalis glycosides
Principle, Instrumentation, and Applications of the following:
The Advanced Spectral Analysis course offers students a comprehensive and in-depth understanding of utilizing sophisticated spectral techniques for pharmaceutical analysis. Students will develop the necessary knowledge, skills, and attitudes throughout the course to excel in this field.
Students will learn how to interpret complex spectra obtained from analytical instruments, enabling them to identify characteristic peaks, functional groups, and molecular structures accurately. The course will cover various applications, including drug analysis, purity determination, and quantification of active pharmaceutical ingredients and impurities, equipping students to address critical challenges in pharmaceutical analysis.
Students will develop proficiency in data processing and analysis, enabling them to extract meaningful information from spectral data sets. The course will instil an attitude of continuous learning, motivating students to stay updated with advancements in spectral analysis techniques and apply them effectively in their future careers. Graduates will be well-prepared to contribute to cutting-edge research, drug development, and quality assurance in the pharmaceutical industry, demonstrating a commitment to driving advancements in pharmaceutical science for the betterment of society.
In conclusion, the scope of the Advanced Spectral Analysis course goes beyond equipping students with technical knowledge and skills. It instills a passion for continuous learning and a dedication to advancing pharmaceutical science.
Upon successful completion of this course, students shall be able to;
K1. Recognize the significance of spectral analysis techniques in structural elucidation of organic compounds.
K2. Explain the underlying theory and principles of various spectral methods such as NMR, IR, UV-Vis, and Mass Spectrometry.
K3. Identify the significance of multi-technique approaches in chemical and natural product analysis.
K4. Interpret the different peaks and patterns in spectral data.
K5. Analyze the role of hyphenation in separating and analyzing complex mixtures
K6. Assess the reliability and validity of spectral data in scientific research.
S1:Perform qualitative and quantitative analysis of drugs and pharmaceuticals using suitable analytical techniques
S2:Acquire theoretical and practical skills of hyphenated analytical techniques and their applications
S3:Integrate Analytical data into chemistry knowledge
S4: Acquire knowledge for processing and interpretation of data obtained through experimentation and report the results as per regulatory requirements
S5: Apply instrumental techniques in a diverse range of areas
S6: Interpret the spectral data to identify organic compounds
A1. Appreciate the importance and relevance of spectral analysis in scientific research
A2. Integrate the values of accuracy, precision, and ethical data interpretation
A3. Demonstrate a consistent, professional attitude in conducting and reporting spectral analyses.
A4. Develop a personal commitment to continuous learning and advancement in the field of spectral analysis.
A5: Demonstrate a willingness to collaborate with peers and professionals.
A6: Show a sense of responsibility and commitment to contribute to the advancement of pharmaceutical science
edn, The Athlon Press of the University of London. 1998.
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