
Pharmacognosy Practical D Pharm
1. Morphological Identification of the following drugs:
Ispaghula, Senna, Coriander, Fennel, Cardamom, Ginger, Nutmeg, Black Pepper, Cinnamon, Clove, Ephedra, Rauwolfia, Gokhru, Punarnava, Cinchona, Agar.
2. Gross anatomical studies (Transverse Section) of the following drugs:
Ajwain, Datura, Cinnamon, Cinchona, Coriander, Ashwagandha, Liquorice, Clove, Curcuma, Nux vomica, Vasaka
3. Physical and chemical tests for evaluation of any FIVE of the following drugs:
- Asafoetida,
- Benzoin,
- Pale catechu,
- Black catechu,
- Castor oil,
- Acacia,
- Tragacanth,
- Agar,
- Guar gum,
- Gelatine.
Assignments
The students shall be asked to submit the written assignments on the following topics (One assignment per student per sessional period. i.e., a minimum of THREE assignments per student)
1. Market preparations of various dosage forms of Ayurvedic, Unani, Siddha, Homeopathic (Classical and Proprietary), indications, and their labelling requirements
2. Market preparations of various herbal formulations and herbal cosmetics, indications, and their labelling requirements
3. Herb-Drug interactions documented in the literature and their clinical significance
Field Visit
The students shall be taken in groups to a medicinal garden to witness and understand the nature of various medicinal plants discussed in theory and practical courses. Additionally, they shall be taken in groups to the pharmacies of traditional systems of medicines to understand the availability of various dosage forms and their labelling requirements. Individual reports from each student on their learning experience from the field visit shall be submitted.
F Y D Pharm & S Y D Pharm Notes, Books, Syllabus, PDF, Videos
Suggested readings
Recommended readings:
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Use Aartificial Intelligence for optimisation of pharmaceutical formulation
Use Aartificial Intelligence for optimisation of pharmaceutical formulation AI can be a powerful tool for optimizing pharmaceutical formulations by enabling more efficient and effective experimentation, as well as data-driven decision making. Here are some ways AI can be used for this purpose: Overall, AI can provide significant benefits in the optimization of pharmaceutical formulations, reducing the time and cost of development, improving product quality, and speeding up the delivery of new treatments to patients. Suggested readings:
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Bayesian approch for optimisation of pharmaceutical formulation
Bayesian approch for optimisation of pharmaceutical formulation The Bayesian approach is a statistical method that can be used for optimizing pharmaceutical formulations. It involves building a statistical model of the process and using the model to make informed decisions about the formulation. Here are the key steps in applying a Bayesian approach for optimization of pharmaceutical formulation: The Bayesian approach provides a rigorous and systematic framework for optimizing pharmaceutical formulations that can help to improve the quality, safety, and efficacy of drugs. By incorporating prior knowledge, new data, and statistical modeling, the Bayesian approach can reduce the time and cost of drug development and improve patient outcomes. Suggested readings: