KM0075 Validations of methods

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code KM0075
Name Validations of methods
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


Course Goal / Objective

It aims to determine the applicability of newly developed or existing analysis methods.

Course Content

It is aimed for the realization of the method of testing in quantifying any analyte. It gives the ability to comprehend the sensitivity, accuracy, precision, detection level and uncertainty of the method and make calculations

Course Precondition

no prerequisites

Resources

Assoc. Dr. Aysun Yılmaz, METHOD VALIDATION AND VERIFICATION IN CHEMICAL ANALYSIS, TURKLAB Publications Özge ÇETİNKAYA AÇAR, Sevilay KIRIŞ Fazıl DİLER, Ayşe AVCI EXPRESSIVE PRACTICE GUIDE FOR METHOD VALIDATION AND MEASUREMENT UNCERTAINTY CALCULATION FOR PESTICIDE ANALYSIS, T.R. Ministry of Food, Agriculture and Livestock National Food Reference Laboratory Residue / Pesticide Unit

Notes

ANALYTICAL QUALITY CONTROL AND METHOD VALIDATION PROCEDURES FOR PESTICIDE RESIDUES ANALYSIS IN FOOD AND FEED (SANTE), EU Reference Laboratories of Residues of Pesticides.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 In-laboratory validation, Selection of representative matrix, Concentration/number of repetitions, Validation parameters and criteria, Linearity, Matrix effect, Limit of Detection (LOD) and Limit of Detection (LOQ), Specificity, Accuracy, Learns and applies the concepts of Limit of Repeatability (r)
LO02 Learns and applies the concepts of Reproducibility Limit (R), Robustness
LO03 Learns and applies the concepts of Calculation of Measurement Uncertainty, Uncertainty of Repeatability, Uncertainty of Reproducibility, Uncertainty of Reality (Bias)
LO04 Evaluates the data obtained from the devices and methods used in the analysis, questions the validity of the method/device and prepares the validation report


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal By developing current and advanced knowledge in the field with original thought and research, it reaches data that will bring innovation to its field. 5
PLO02 Bilgi - Kuramsal, Olgusal S/he has the knowledge to contribute to the chemistry literature. 5
PLO03 Beceriler - Bilişsel, Uygulamalı Develops new methods and strategies in modeling current problems and producing problem specific solutions. 4
PLO04 Bilgi - Kuramsal, Olgusal It follows the developments in the field of chemistry, acts in accordance with scientific ethical rules and constantly renews itself.
PLO05 Bilgi - Kuramsal, Olgusal Determines the necessary methods for experimental measurement and uses the instruments in accordance with the sensitivity limits. 3
PLO06 Yetkinlikler - Öğrenme Yetkinliği Plans and maintains a scientific study. 4
PLO07 Bilgi - Kuramsal, Olgusal Gains high level skills in using research methods in studies related to the field.
PLO08 Yetkinlikler - Öğrenme Yetkinliği Can prepare scientific articles and publish scientific articles related to the field in international refereed journals.
PLO09 Bilgi - Kuramsal, Olgusal Have the ability to work individually and make independent decisions. 3
PLO10 Bilgi - Kuramsal, Olgusal Follows directions in the field, gains the ability to analyze complex situations that may occur.
PLO11 Bilgi - Kuramsal, Olgusal S/he can organize projects and events in her/his field, and realize the stages of creating a project, executing it and reporting the results.
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Presents the results of their studies in written and oral form. Approaches environmental problems scientifically.


Week Plan

Week Topic Preparation Methods
1 n-laboratory validation, Choosing the representative matrix Concentration/number of repetitions, Validation parameters and criteria, linearity, matrix effect, Limit of Detection (LOD) and Limit of Detection (LOQ), specificity Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
2 Accuracy, Repeatability Limit (r) Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
3 Reproducibility Limit (R), Robustness Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
4 Calculation of Measurement Uncertainty, Repeatability Uncertainty, Reproducibility Uncertainty, Reality Ambiguity (Bias) Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
5 Calibration Uncertainty, Linear Calibration, Quadratic calibration, Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
6 Combined Standard Uncertainty (uc), Extended Uncertainty (Uc), Reporting of measurement results, Interpretation of Measurement Results Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
7 Application of Aflatoxin HPLC analysis validation and uncertainty calculations in foods Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev
9 Application of heavy metal AAS/ICP analysis validation and uncertainty calculations in foods Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
10 Volatile Organic Carbon (VOC) GC/MS analysis validation and uncertainty calculations application Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
11 Pesticide Analysis Validation in Foods and Foods SANTE procedure Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
12 Application of GC-MS/MS analysis validation and uncertainty calculations of pesticides (QUECHERS) Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
13 Application of GC-MS/MS analysis validation and uncertainty calculations of pesticides (QUECHERS), continued Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
14 preparation of a real validation report-1 Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
15 preparation of a real validation report-2 Related Course Note Tracking Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Ödev
17 Term Exams Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 18.11.2022 10:55