Modelling and Optimisation of Chromatographic Separations

Course Information
TitleΜΟΝΤΕΛΟΠΟΙΗΣΗ ΚΑΙ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗ ΧΡΩΜΑΤΟΓΡΑΦΙΚΩΝ ΔΙΑΧΩΡΙΣΜΩΝ / Modelling and Optimisation of Chromatographic Separations
CodeΚ202
FacultySciences
SchoolChemistry
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CommonNo
StatusActive
Course ID40002690

Programme of Study: PPS-Tmīma CΗīmeías (2016-sīmera)

Registered students: 33
OrientationAttendance TypeSemesterYearECTS
THEŌRĪTIKĪ CΗĪMEIA KAI CΗĪMIKĪ EKPAIDEUSĪOptional Courses845
CΗĪMIKĪ ANALYSĪ-PERIVALLON-ĪLEKTROCΗĪMEIAElective Course belonging to the selected specialization (Elective Specialization Course)845
CΗĪMIKĪ SYNTHESĪ-VIOCΗĪMEIA KAI VIOEFARMOGESOptional Courses845
CΗĪMIKĪ TECΗNOLOGIA KAI VIOMĪCΗANIKĪ CΗĪMEIAOptional Courses845

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Instructors from Other Categories
Weekly Hours6
Class ID
600171249
Type of the Course
  • Background
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course the student is expected to: - understand the chromatographic separation mechanisms, after acquiring the theoretical background on analytical techniques and physicochemical processes, - understand how the chromatographic factors are affected (composition of the mobile phase, pH of the mobile phase, flow rate and chromatographic column temperature) in the retention of the compounds and be able to choose the appropriate chromatographic model, - develop critical thinking on the interpretation and evaluation of chromatographic experimental data, - to become familiar with the use of Microsoft Excel spreadsheets and appropriate algorithms (macro-commands-VBA) for adapting experimental data, predicting compound retention times and optimizing chromatographic conditions, - follow the appropriate steps and to apply the fitting, prediction and optimization algorithms, in order to identify the optimal conditions for the separation of the chromatographic peaks of the under analysis mixture.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Advance free, creative and causative thinking
Keywords
Chromatography, Retention prediction, Separation optimization
Educational Material Types
  • Slide presentations
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Laboratory Work
Reading Assigment
Written assigments
Exams
Total
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
1.Teaching Simulation and Computer-Aided Separation Optimization in Liquid Chromatography by Means of Illustrative Microsoft Excel Spreadsheets. S. Fasoula, P. Nikitas, and A. Pappa-Louisi. J. Chem. Educ. 94 (2017) 1167−1173. 2.Separation optimization in HPLC analysis implemented in R programming language. Ch.Zisi,A.Pappa-Louisi,P.Nikitas, J. Chrom. A, 1617 (2020) 460823(doi:10.1016/j.chroma.2019.460823)
Last Update
03-07-2020