Information
Code | KM0075 |
Name | Validations of methods |
Term | 2022-2023 Academic Year |
Semester | . Semester |
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 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 |