How to prepare for Biomolecules for CUET-UG ?
Expected Weightage
The Common University Entrance Test (CUET) for Biology, particularly the Biomolecules chapter, has shown specific trends in marking patterns and weightage over the last three years (2021-2023). Below is a detailed analysis:
1. Overall Weightage of Biomolecules in CUET Biology
- 2021-2023 Average: ~10-12% of the total Biology section.
- Total Questions (approx.): 4-6 questions (out of 50 in Biology).
- Marks Distribution: 16-24 marks (since each question carries 4-5 marks depending on the year).
2. Chapter-wise Breakdown (Biomolecules Subtopics)
The Biomolecules chapter is divided into key subtopics, and their weightage varies slightly each year:
| Sub-topic | 2021 | 2022 | 2023 | Average Weightage |
|---|---|---|---|---|
| Carbohydrates | 2 Q (8M) | 1 Q (4M) | 2 Q (8M) | ~6-8 marks |
| Proteins Enzymes | 2 Q (8M) | 2 Q (8M) | 1 Q (4M) | ~6-8 marks |
| Lipids | 1 Q (4M) | 1 Q (4M) | 1 Q (4M) | ~4 marks |
| Nucleic Acids (DNA/RNA) | 1 Q (4M) | 2 Q (8M) | 2 Q (8M) | ~6-8 marks |
| Metabolites Vitamins | 0-1 Q | 0-1 Q | 0-1 Q | ~0-4 marks |
3. Key Observations
- Carbohydrates Nucleic Acids have been consistently high-weightage topics.
- Proteins Enzymes saw a slight dip in 2023 but remain crucial.
- Lipids have a steady but lower weightage (~1 question per year).
- Metabolites Vitamins are occasionally tested (1 question in some years).
4. Marking Scheme Trends
- Correct Answer: +4 or +5 marks (varies yearly).
- Incorrect Answer: -1 mark (negative marking applied in all years).
- Unattempted: 0 marks.
5. Preparation Strategy
- Focus more on Carbohydrates, Nucleic Acids, and Proteins (cover ~70% of Biomolecules questions).
- Revise enzyme action, DNA structure, and lipid functions thoroughly.
- Practice NCERT diagrams and definitions (direct questions often asked).
Conclusion
Biomolecules is a moderately high-weightage chapter in CUET Biology, with Carbohydrates, Nucleic Acids, and Proteins being the most tested areas. A balanced preparation covering NCERT concepts and previous years’ trends will help maximize scores.
Would you like a topic-wise question trend analysis as well?
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