Course Identification

Analysis of Small Molecules: Chromatography and mass spectrometry
20203202

Lecturers and Teaching Assistants

Prof. Asaph Aharoni, Dr. Ilana Rogachev, Dr. Igal Bar-Ilan, Dr. Alexander Brandis, Dr. Sergey Malitsky
N/A

Course Schedule and Location

2020
Second Semester
N/A
21/06/2020
02/07/2020

Field of Study, Course Type and Credit Points

Life Sciences: Laboratory; Elective; Regular; 0.50 points
Chemical Sciences: Laboratory; Elective; Regular; 0.50 points
Life Sciences (Molecular and Cellular Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Computational and Systems Biology Track): Laboratory; Elective; Regular; 0.50 points

Comments

N/A

Prerequisites

No

Restrictions

16

Language of Instruction

English

Registration by

04/06/2020

Attendance and participation

Obligatory

Grade Type

Pass / Fail

Grade Breakdown (in %)

50%
50%

Evaluation Type

Laboratory

Scheduled date 1

19/07/2020
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

N/A

Syllabus

Low molecular weight biological molecules or so called ‘metabolites’ are vital for viability and fitness of all living creatures. Detection, identification and quantification of hundreds of thousands of metabolites possessing endless structures is a great challenge, requiring ample expertise in analytical chemistry. Yet, proficiency in such methodologies is critically needed in many labs, both biology and chemistry oriented ones. This course will offer a unique opportunity for scientists to gain fundamental knowledge in using analytical chemistry for the interrogation of metabolites in any given organism.

Chromatography and mass spectrometry are the core technologies that provide the capability to measure metabolites. The course will provide both theoretical background as well as practical experience with respect to analyzing small molecules in complex extracts. Course attendees will get acquainted with cutting edge liquid and gas chromatography coupled to mass spectrometry technologies (i.e. LC-MS & and GC-MS). The practical part will be provided in small groups. It will include hands-on activity (see Important Comment) that will cover sample preparation, analytical runs on advanced LC-MS and GC-MS systems and raw data analysis as well as downstream data processing.

Important Comment: Due to the current circumstances, the course, including theoretical and practical part will be carried out online via ‘ZOOM’. You will monitor sample preparation either by short video, or by on-line power point presentation. Other parts of the practical session will be given as an interactive ‘ZOOM’ meeting in which you will be actively involved in discussions about instrumentation, analytical runs and data analysis.

 

Theoretical part:

Date

Time

Lecturer

Topic

21/6

13:15 - 15:00

Igal Bar Ilan

Introduction to liquid chromatography

21/6

15:10 - 17:00

Yishai Levin

Introduction to mass spectrometry

24/6

13:15 - 14:00

Asaph Aharoni

Introduction to "Analysis of small biomolecules"

24/6

14:10 - 16:00

Ilana Rogachev

Non-targeted LCMS analysis

25/6

13:15 - 15:00

Sergey Malitsky

Lipidomics

25/6

15:10 - 17:00

Alexander Brandis

Targeted LCMS analysis

28/6

13:15 - 15:00

Igal Bar Ilan

GCMS analysis

28/6

15:10 - 17:00

Igal Bar Ilan

GCMS analysis

Location of all the lectures - via ‘ZOOM’ (or FGS room A in case the current situation with Corona virus will be better), All course participants will receive a link with the invitation to join a meeting ‘ZOOM’. You will be able to log to the on-line sessions through that same link weekly. 

 

Practical part:

Date

Time

Mentors

29/6 - 02/7

13:00 - 17:00

Igal (GCMS), Ilana, Sergey, Alexander

Location of practical part – via ‘ZOOM’ (or will be announced later in case it will be permitted by FGS)

Learning Outcomes

Upon successful completion of this course students should be able to:

  1. Demonstrate understanding of the basics of liquid and gas chromatography.
  2. Demonstrate understanding of the basics of mass spectrometry.
  3. Prepare samples for the different methods of analysis, appreciate data collection and analysis.
  4. Discuss the various applications, limitations and restrictions of the various methods.

Reading List

N/A

Website

N/A