Analytical Chemistry

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Program Overview

The Bachelor's (L3) in Analytical Chemistry is structured into two semesters (S5 and S6), each worth 30 credits. The program combines :

*Core courses (theory and applications)

*Analytical methodology (practical work, projects)

*Transversal modules (English, ethics, IT)


Teaching Language : Arabic, English, French

Curriculum Highlights

Core Courses

These foundational courses are spread across both semesters (S5 and S6):

Semester 5 (S5): Common Core

  1. Electrochemistry (F131)
  • Ionic solutions (activity, ionic strength, Debye-Hückel theory).
  • Redox reactions (standard potentials, electrochemical cells, E-pH diagrams).
  • Electrolysis (decomposition voltage, overpotential).
  • Conductimetry (Kohlrausch’s law, ion mobility).
  • Applications: Redox titrations, electrode calibration


2. Separation Methods and Chromatography (F132)

  • Classical techniques (liquid-liquid extraction, distillation).
  • Chromatography (GC, HPLC, TLC):principles, retentionparameters.
  • Electrophoresis.
  • Applications: Compound purification, mixture analysis.

3. Quantitative AnalysisMethods (F133)

  • Method validation (errors, uncertainty, statistical tests).
  • Calibration curves, detectionlimits.
  • Analytical standards (ISO, pharmacopoeia).
  • Applications:Quality control labanalysis.

4.Surface Chemistry (F134)

  • Surface tension (Laplace’s law, Kelvin equation).
  • Adsorption (Langmuir/BET isotherms).
  • Heterogeneouscatalysis.
  • Applications:Catalystsynthesis, colloidstudies.

Semester 6 (S6): Advanced Topics

1. ElectrochemicalAnalysisMethods (F231)

  • Potentiometry (ion-selectiveelectrodes, titrations).
  • Voltammetry (polarography, I-E curves).
  • Electrochemicalimpedance.
  • Applications:Metal ion analysis, corrosion studies.

2. SpectroscopicMethods (F232)

  • UV-Vis spectroscopy (Beer-Lambert law).
  • IR (functional groups).
  • NMR (chemical shift, spin-spin coupling).
  • Mass spectrometry (fragmentation patterns).
  • Applications:Organicmolecule identification.

3.Solution Equilibria (F233)

  • Predominancediagrams (pH, redox potential).
  • Solubility (solubility product, common-ion effect).
  • Complexation (stability constants).
  • Applications: Optimization of analytical conditions.

Note:

  • Workload:
  • S5: ~15 hours/week (lectures + practicals).

S6: ~12 hours/week + internship

Advanced Topics

The program covers cutting-edge themes in chemical analysis, blending current research and industrial applications:

1. High-Precision Instrumental Techniques

  • Advanced NMR Spectroscopy:
  • Multi-nuclear spectra interpretation (¹H, ¹³C, ²⁹Si).
  • Moleculardynamics (relaxation times).
  • High-Resolution Mass Spectrometry (HRMS):
  • Biomoleculeanalysis (proteins, metabolites).
  • LC-MS/MS coupling for trace detection.

2. Modern Electrochemistry

  • Chemical and Biosensors:
  • Modifiedelectrodes (nanoparticles, conductivepolymers).
  • Pollutantdetection (heavymetals, pesticides).
  • ElectrochemicalImpedanceSpectroscopy (EIS):
  • Anti-corrosioncoatingstudies.
  • Photovoltaiccellcharacterization.

3. Green Chemistry and Sustainability

  • Alternative Solvents:Ionic liquids, supercritical CO₂.
  • Heterogeneous Catalysis:Metallic nanoparticles for clean reactions.

4. Sector-Specific Applications

  • Pharmaceutical Analysis:Drug dissolution studies.
  • EnvironmentalAnalysis:
  • Micropollutant quantification.
  • Industrialwastewatertreatment.


Admissions Information

To enroll in the L3 Analytical Chemistry program, candidates must meet one of the following:

✔ Completion of a Bachelor's (L2) in Chemistry or equivalent (Materials Science, Applied Chemistry, etc.).

✔A two-year post-secondary diploma in a related field (Chemistry, Chemical Engineering), subject to approval by the academic committee.

Recommended Prerequisites

✔ Strong foundation in:

  • General chemistry (thermodynamics, kinetics).
  • Analytical chemistry (titrations, basic spectroscopy).
  • Applied mathematics (statistics, data processing).

✔ Proficiency in IT tools (Excel, modeling software).


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