LIST OF EXPERIMENTS:
- Qualitative analysis of carbohydrates (Sample 1: Glucose)
- Qualitative analysis of carbohydrates (Sample 2: Fructose)
- Qualitative analysis of carbohydrates (Sample 3: Lactose)
- Qualitative analysis of carbohydrates (Sample 4: Maltose)
- Qualitative analysis of amino acids (Sample 1: Histidine)
- Qualitative analysis of amino acids (Sample 2: Tryptophan)
- Qualitative analysis of amino acids (Sample 3: Arginine)
- Qualitative analysis of amino acids (Sample 4: Tyrosine)
- Qualitative analysis of abnormal constituents in urine (Albumin, bile salts, ketone bodies, glucose)
- Estimation of liver function test using the semi-auto analyser
- Estimation of kidney function test using the semi-auto analyser
- Estimation of blood urea nitrogen using the semi-auto analyser
- Estimation of various lipid profiles using the semi-auto analyser
- Estimation of total protein using the semi-auto analyser
SEMINAR/ASSIGNMENTS:
- Analysis of Normal Urine Parameters: Students can analyze a dataset of urine analysis results from hospital patients with normal kidney They can calculate and interpret parameters such as pH, specific gravity, protein, glucose, ketones, bilirubin, and microscopic examination findings.
- Interpretation of Lipid Profile Results: Students can examine lipid profile data from a group of patients and interpret the levels of total cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides.
- Students can analyze kidney function test results, including serum creatinine, blood urea nitrogen (BUN), and estimated glomerular filtration rate (eGFR), from a dataset of patients. They can discuss the interpretation of these results and their relevance in assessing kidney function.
- Students can analyze liver function test data, including serum levels of enzymes such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and bilirubin.