Information Package

Program of Pharmacy

ECZ553

VALIDATION PARAMETERS AND METHODS IN DRUG ANALYSIS

Course Code
ECZ553
Semester
-
Theory+Practice
2 + 0
ECTS
2
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS2
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Analytical measurement methods used in Analytical Chemistry knows numerical criteria and other features in method selection.
  2. Analytical Meaning of Statistical Parameters and Values and evaluate analytical data.
  3. Knows what is the validation of an analytical method, how and when it should be done and what is partial validation.
  4. Knows the definition of accuracy, precision, (repeatability), and reality parameters among the parameters for method validation.
  5. Calibration and linearity can be calculated. It can select the measurement range, sensitivity (lower and upper detection limit, limit of observability,), working range.
  6. Knows the definitions of regression and correlation. Stability, specificity, selectivity.Knows the definition of recovery, rubutness, ruggetness,consistency parameters and can calculate.
  7. Make the determination and comparison of validity indicators.
  8. Follow Method Validation Practices in Drug Analysis
  9. Can use the information learned in this course in the fields of business after graduation.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionAnalytical measurement methods used in drug analysis and the parameters required for analytical methods to be valid and the statistical evaluation and application of these parameters.
Course Contents
WEEK TOPICS
1st Week Analytical measurement methods used in Analytical Chemistry
2nd Week Numerical criteria and other features in method selection
3rd Week Analytical Meaning of Statistical Parameters and Their Values, Evaluation of analytical data
4th Week What is the validation of an analytical method? How and in what situations should it be done? What is partial validation?
5th Week Introduction to parameters for method validation
6th Week Accuracy, Precision, (Repeatability), reality
7th Week Midterm exam
8th Week Calibration and Linearity, measurement range, Sensitivity (Lower and upper detection limit, observability limit,), Working range
9th Week Regression and correlation
10th Week Stability, Originality, Selectivity
11th Week Recovery, rubustness,ruggetness
12th Week Determination and comparison of validity indicators
13th Week Validation Applications in Drug Analysis
14th Week Validation Applications in Drug Analysis
Recommended or Required Reading1. Sümbüloğlu, K., Sümbüloğlu, V., Biyoistatistik, Hatipoğlu Yayınevi, 7. Baskı, Ankara, 1997.
2. Validation of analytical procedures: Methodology. ICH Harmonised Tripartite Guideline, ICH Steering Committee, 1996.
3. ICH Harmonised Tripartite Guideline: Validation of Analytical Procedures: Text and Methodology Q2 (R1) Step 4 Version, 2005.
4. Green, J.M., A practical guide to analytical method validation. Analytical Chemistry, 68, 305A-309A, 1996.
5. OTHER RELATED RECENT GUIDES, PAPERS AND BOOKS
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Assignment 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz 0 0 0
Individual or group work 14 1 14
Preparation for Final exam 1 8 8
Course hours 14 2 28
Preparation for Midterm exam 1 4 4
Laboratory (including preparation) 0 0 0
Final exam 1 2 2
Homework 1 4 4
Total Work Load61
Total Work Load / 30 (h)2.03
ECTS Credit of the Course2
Language of InstructionTurkish
Work Placement(s)No
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