OBJECTIVE(S)

What makes native MS different from more traditional denaturing methods? How do we perform native MS in practice and analyse the data? Can you perform native MS on complex systems like membrane proteins, and how does it fit within the range of structural MS techniques available? How is native MS being leveraged in biopharma to solve real world problems?

In this short course, we aim to answer all these questions. We cover the fundamentals of native MS from simple systems to multi-component complexes and membrane proteins. We discuss how native MS can be performed in practice, including advantages and disadvantages of higher throughput methods such as SEC-MS, and share practical tips and tricks. The program concludes with quest speakers from the biopharma industry. Esther Martin - AstraZeneca, Shahid Mahmood - GSK & Lucile Kogey Fuchs - Sanofi/Pasteur and a round-table where participants can ask questions from practitioners using MS for biotherapeutic characterisation day to day.

SESSION SCHEDULE

Saturday, 22 August 2026

SC01_1 / 08:00 → 11:20

Fundamentals of native MS from simple systems to multi-component complexes and membrane proteins 

SC01_2 / 11:20 → 14:40

How native MS can be performed in practice?

SC01_3 / 11:20 → 14:40

Quest speakers from industry and round-table

Sunday, 23 August 2026

10:00 → 11:00

Fundamentals of native MS from simple systems to multi-component complexes and membrane proteins

11:00 → 12:00

How native MS can be performed in practice?

12:00 → 13:00

Quest speakers from industry and round-table

CHAIR(S)

Julien Marcoux (Instructor(s)) (Toulouse, France)

Joseph Gault (Instructor(s)) (Cambridge, United Kingdom)

OBJECTIVE(S)

Carbohydrates are the most abundant natural polymers on our planet. They are essential for energy production, storage, cellular structure and biological communication, playing a fundamental role in the functioning of living organisms. These structures, which are extremely heterogeneous in terms of size, structure and chemical functions, pose a challenge to analytical sciences because their functions and industrial properties are directly linked to their structures. As carbohydrates include a vast number of forms of isomerism (anomery, epimery, tautomerism, branching isomerism, and ramification), mass spectrometry, despite its high sensitivity and measurement accuracy, cannot resolve this challenge on its own.

 In the first half of the course, we will explain how mass spectrometry imaging, combined with enzymatic treatments, enables the identification of specific motifs, can aid in understanding the mechanisms underlying the assembly and disassembly of these polymers, and can provide information on their biological properties. Having highlighted the structural complexity of carbohydrates, we will discuss recent advances in mass spectrometry for the characterisation of polysaccharide structures using alternative fragmentation methods based on i) techniques that provide access to high-energy fragmentation pathways and ii) very high-resolution ion mobility in various modes (MS/IMS, IMS/MS, IMSn).

The second half of the course will discuss established and emerging technologies to characterize glycoproteins. We focus on mass spectrometry-centric techniques but also briefly discuss complementary analytical approaches. Participants will learn how to approach analytical methods through the lens of glycobiology via discussions of sample preparation, LC-MS, and bioinformatic approaches used glycoproteomics.

SESSION SCHEDULE

Saturday, 22 August 2026

To be completed

Sunday, 23 August 2026

To be completed

CHAIR(S)

David Ropartz (Instructor(s)) (Nantes, France)

Nicholas Riley (Instructor(s)) (Seattle, United States of America)

OBJECTIVE(S)

Mass Spectrometry Imaging (MSI) enables the untargeted label-free spatial mapping of hundreds of molecular species in a variety of samples, such as metabolites, lipids, drugs, and peptides, proteins, and glycans, in a single experiment. The combination of information gained from MS and the visualization of spatial distributions in thin sample sections makes it a valuable chemical analysis tool for the characterization of biological specimens or inorganic samples. This short conference course offers a focused, practice-oriented introduction to state-of-the-art techniques, designed for researchers seeking a deeper understanding of how different ionization platforms complement each other in biological, clinical, and material science applications. The program is structured into three dedicated 2 hour modules: SIMS, MALDI, and ambient imaging techniques, followed by an interactive discussion and problem-solving session.

In the first module, the participants explore the capabilities of SIMS for high resolution molecular and elemental mapping. The session covers:

• Cluster ion sources and their impact on molecular ion yields
• Achievable spatial resolution and depth profiling strategies
• Sample preparation for biological vs. materials samples
• Strengths and limitations for lipids, metabolites, and surface chemistry
• Representative applications in cell biology, biomaterials, and nanostructured surfaces

The second module focuses on MALDI as a versatile platform for molecular imaging over a broad mass range. Topics include:

• Matrix selection, deposition methods, and tissue specific workflows
• Laser optics, mass analyzers, and high throughput acquisition strategies
• Imaging of peptides, proteins, lipids, and metabolites
• Quantitative considerations and normalization approaches
• Applications in pathology, drug distribution, and spatial omics

The third module will cover ambient imaging techniques, highlighting nano-DESI and related techniques that enable rapid, preparation-minimal  MSI. The session addresses:

• Principles of ambient ionization and solvent–surface interactions
• Optimization of solvent systems and acquisition parameters, including tandem MS
• Real time tissue profiling and translational workflows
• Emerging ambient modalities and multimodal integration

Comparative Perspectives and Integrated Workflows

Across the three modules, participants gain a clear understanding of how the techniques differ in terms of spatial resolution, molecular coverage, throughput, and sample requirements. The course emphasizes the selection of the correct modality—or combination of modalities—for specific scientific questions.

Interactive Session: Discussion, Case Studies, and Workflow Design

The course concludes with an interactive session in which participants:

• Discuss real world challenges in MSI experiments
• Compare workflows and troubleshoot common pitfalls
• Explore multimodal strategies and correlative imaging
• Engage with instructors on experimental design and the importance of high mass resolving power, tandem mass spectrometry and/or ion mobility spectrometry for annotation

This final segment encourages active participation and provides a forum for exchanging experiences across disciplines and instrumental platforms.

SESSION SCHEDULE

Saturday, 22 August 2026

SC03_1 / 08:00 → 10:00
Module: SIMS

SC03_2 / 10:00 → 12:00

Module: MALDI

SC03_3 /12:00 → 14:00

Module: Ambient imaging techniques

SC03_3 / 14:00 → 18:00

Discussion, case studies, workflow design

Sunday, 23 August 2026

SC13_1 / 10:00 → 10:45

Module: SIMS

SC13_2 / 10:45 → 11:30

Module: MALDI

SC13_3 / 11:30 → 12:15

Module: Ambient imaging techniques

SC13_4 / 12:15 → 13:00

Discussion, case studies, workflow design

CHAIR(S)

Ingela Lanekoff (Instructor(s)) (Uppsala, Sweden)

Sebastiaan Van Nuffel (Instructor(s)) (Maastricht, Netherlands)

Julien Franck (Instructor(s)) (Villeneuve-d'Ascq, France)

OBJECTIVE(S)

Ion mobility spectrometry as a standalone technique is mainly used for the field detection of explosives, drugs, and chemical weapons. In this short course, we will focus on ion mobility coupled to mass spectrometry, which first became available on commercial instruments in 2006. Since then, several technologies have emerged, promising an additional dimension of separation and structural information to traditional mass spectrometry. However, the principles of ion mobility spectrometry differ from those of mass spectrometry, which may slow the adoption of the hyphenated technique or hinder the realization of its full potential. 

This course will survey the fundamental principles and theoretical basis of ion mobility spectrometry across its major forms: drift tube ion mobility spectrometry (DTIM), high-field asymmetric-waveform ion mobility spectrometry (FAIMS, which was not tackled in previous editions), travelling wave ion mobility (TWIM) including structures for lossless ion manipulations (SLIM), and trapped ion mobility (TIMS). 

We will show how ion mobility can be used as a gas-phase separation method to reduce chemical noise, enhance signal-to-noise, or increase the duty cycle of analyses with parallel accumulation. We will also survey how to determine collision cross sections (CCSs), both experimentally and by calculation from molecular structures produced by molecular modelling methods, and we will discuss how these CCS values can be used and compared. 

Finally, we will showcase recent applications of ion mobility coupled to mass spectrometry in the fields of proteomics, metabolomics and complex mixture analysis related to environmental or energy research.

SESSION SCHEDULE

Saturday, 22 August 2026

To be completed

Sunday, 23 August 2026

SC14_1 / 10:00 → 11:00

Ion mobility coupled to mass spectrometry: context, principles and challenges

SC14_2 / 10:00 → 11:00

Ion mobility technologies and theoretical foundations

SC14_3 / 12:00 → 13:00

Analytical performance, CCS determination and applications of ion mobility–MS

CHAIR(S)

Valérie Gabelica (Instructor(s)) (Geneva, Switzerland)

Helene Lavanant (Instructor(s)) (Rouen, France)

Hayden Thurman (Instructor(s)) (Wichita, United States of America)

OBJECTIVE(S)

In this short course, we aim to aid attendants in the process of developing and validating LC-MS methods. The principles of LC-MS methods will be reviewed in the context of method-development and method-validation protocols, such as ICH Q2 and Q14. Issues that are frequently encountered in these processes will be discussed based on practical examples from a variety of domains. Contemporary developments, such as the use of machine learning and artificial intelligence, will be addressed. The course will culminate in the creation of user-specific validation plans.

Course directors / speakers
The short course is led by Pr Franck Saint-Marcoux and Pr Peter Schoenmakers.

1. Method Development
   General method development is taught by Pr Peter Schoenmakers. This part includes the analytical target profile (ATP), strategies to minimize analysis time and solvent consumption, the comparison between minimal and enhanced approaches, quality by design (QbD), as well as calibration and statistical aspects.
   Framing the problem is taught by Pr Franck Saint‑Marcoux. This section covers the intended use of the method, applications in clinical and forensic analysis, qualitative and quantitative methods, different types of screening methods, choosing the right framework, and definition of the sample preparation strategy.
   Setting up LC‑MS methods is taught by Pr Franck Saint‑Marcoux. Topics include MS detection, identification and confirmation criteria, decision points and reporting rules, false positives versus false negatives, library and transition strategies, as well as matrix interference and ion suppression.
   Contemporary method development is taught by Pr Peter Schoenmakers. This includes method optimization, response functions, automated or self‑driving systems, machine learning and artificial intelligence, and the concept of inherent validation strategies.
2. Method Validation
   General aspects of method validation are taught by Pr Peter Schoenmakers. This part covers accuracy and precision, repeatability and reproducibility, sensitivity, noise and detection limits, robustness, and system suitability.
   Case studies are taught by Pr Franck Saint‑Marcoux and include examples from therapeutic drug monitoring, forensic toxicology, and environmental toxicology.
   Building a validation plan is taught by Pr Franck Saint‑Marcoux. This includes defining the intended use, selecting the appropriate guideline framework, listing validation characteristics, defining proposed experiments, setting acceptance criteria, and establishing a routine monitoring plan.
   Method use and life‑cycle management is taught by Pr Peter Schoenmakers. Topics include quality control strategies, method transfer, method extension, updating existing methods, and limited revalidation.

SESSION SCHEDULE

Saturday, 22 August 2026

SC05_1 / 08:00 → 10:30

Method Development: General method development / Framing the problem

SC05_2 / 10:30 → 13:00

Method Development: Setting up LC-MS methods / Contemporary method development

SC05_3 / 13:00 → 15:30

Method Validation: General aspects of method validation / Case studies

SC05_4 / 15:30 → 18:00

Method Validation: Building a validation plan / Method use - Life-Cycle management

Sunday, 23 August 2026

SC15_1 / 10:00 → 10:45

Method Development: General method development / Framing the problem

SC15_2 / 10:45 → 11:30

Method Development: Setting up LC-MS methods / Contemporary method development

SC15_3 / 11:30 → 12:15

Method Validation: General aspects of method validation / Case studies

SC15_4 / 12:15 → 13:00

Method Validation: Building a validation plan / Method use - Life-Cycle management

CHAIR(S)

Franck Saint-Marcoux (Instructor(s)) (Limoges, France)

Peter Schoenmakers (Instructor(s)) (Amsterdam, Netherlands)

OBJECTIVE(S)

Mass spectrometry has evolved from a purely analytical tool into a powerful platform for probing molecular structure, energetics, and reaction mechanisms in the gas phase. This course, “MS and Ion Activation,” provides a comprehensive introduction to tandem mass spectrometry and ion activation methods, with a particular focus on their application to metal–organic and catalytic systems. 

The first part of the course addresses MS/MS in space using triple quadrupole instruments, covering quadrupole operation in both mass-selective and transmission modes, collision-induced dissociation (CID), and energy-resolved experiments. Participants will learn how breakdown curves can be used to extract thermochemical information such as bond dissociation energies, along with the assumptions and limitations of these approaches. These concepts are illustrated through applications in organometallic chemistry and catalysis. 

The second part focuses on MS/MS in time, including Fourier transform ion cyclotron resonance (FT-ICR) and quadrupole ion traps. Fundamental trapping principles, multi-stage MSⁿ experiments, and a range of fragmentation techniques are discussed, including advanced and multidimensional (2D) methods. Special emphasis is placed on energy-resolved CID in ion traps and its role in elucidating catalytic mechanisms and intermediate stability. 

The final part introduces action spectroscopy of mass-selected ions, including IR multiple photon dissociation (IRMPD), messenger-tagging techniques, and two-color experiments. The course highlights how spectroscopic approaches, particularly those employing free-electron lasers and cryogenic ion methods, provide detailed structural insight into reactive species. Together, these topics equip participants with a modern, mechanistic perspective on ion chemistry and the experimental strategies used to interrogate it.

SESSION SCHEDULE

Saturday, 22 August 2026

SC06_1 / 08:00 → 11:20

MS/MS in space

SC06_2 / 11:20 → 14:40

MS/MS in time

SC06_3 / 14:40 → 18:00

Action spectroscopy of mass-selected ions

Sunday, 23 August 2026

SC16_1 / 10:00 → 11:00

MS/MS in space

SC16_2 / 11:00 → 12:00

MS/MS in time

SC16_3 / 12:00 → 13:00

Action spectroscopy of mass-selected ions

CHAIR(S)

Jana Roithová (Instructor(s)) (Nijmegen, Netherlands)

Alexandra Tsybizova (Instructor(s)) (Paris, France)

OBJECTIVE(S)

This short course will provide a tutorial-driven introduction to emerging instrumentation in mass spectrometry, with particular emphasis on (a) ion sources and hyphenated approaches, and (b) integrated advanced analytical concepts. The course will cover key developments in Charge Detection Mass Spectrometry (CDMS), Multiple-Reflection/Reflectron Time-of-Flight Mass Spectrometry (MR-TOF MS), and TIMS-FT-ICR MS.

The course will begin with recent developments in ionization and coupling strategies, including ambient ionization methods such as DART and LTP, as well as other emerging source designs and hyphenated concepts. These innovations play a central role in sample introduction and ion generation and have considerably expanded the range of applications accessible to mass spectrometry.

It will then move to advanced instrumental concepts for downstream analysis, including multi-reflectron TOF approaches coupled to both gas chromatography and liquid chromatography, as well as ion mobility-based ultra-high-resolution mass spectrometry using TIMS-FT-ICR MS. Participants will learn how these configurations enhance analytical performance for complex samples, and how their respective instrumental designs determine their strengths, limitations, and fields of application.

MR-TOF MS was introduced for coupling with gas chromatography more than a decade ago, and more recently, liquid chromatography-compatible instrumentation has reached the market. The course will discuss the technical evolution of these platforms and their current state of development. GC- and LC-based solutions will be compared through selected case studies from food chemistry, environmental science, life sciences, and related fields. In parallel, TIMS-FT-ICR MS will be presented as a complementary, highly resolving analytical strategy offering enhanced structural elucidation power.

Charge Detection Mass Spectrometry (CDMS) enables the direct mass measurement of large, heterogeneous macromolecular assemblies that lie beyond the reach of conventional MS. Participants will be introduced to the broader landscape of CDMS instrumentation, including academic research platforms as well as emerging commercial systems. Applications in biopharma, structural biology, polymer science, and nanoparticle analysis will be illustrated through case studies demonstrating how CDMS can provide direct molecular-level information where ensemble or charge-state-based methods are insufficient.

By combining introductory concepts with selected case studies, this course will provide participants with a broad overview of how new instrumentation is driving innovation across contemporary mass spectrometry.

SESSION SCHEDULE

Saturday, 22 August 2026

SC07_1 / 08:00 → 10:00

Emerging instrumentation in mass spectrometry: concepts and scope

SC07_2 / 10:00 → 12:00

Ionization and coupling strategies: new sources and hyphenated approaches

SC07_3 / 12:00 → 14:00

Advanced TOF‑based instrumentation: MR‑TOF MS and GC/LC coupling

SC07_4 / 14:00 → 16:00

Ultra‑high‑resolution and ion mobility MS: TIMS‑FT‑ICR MS

SC07_5 / 16:00 → 18:00

Charge Detection Mass Spectrometry: instrumentation, applications and perspectives

Sunday, 23 August 2026

SC17_1 / 10:00 → 10:36

Emerging instrumentation in mass spectrometry: concepts and scope

SC17_2 / 10:36 → 11:12

Ionization and coupling strategies: new sources and hyphenated approaches

SC17_3 / 11:12 → 11:48

Advanced TOF‑based instrumentation: MR‑TOF MS and GC/LC coupling

SC17_4 / 11:48 → 12:24

Ultra‑high‑resolution and ion mobility MS: TIMS‑FT‑ICR MS

SC17_5 / 12:24 → 13:00

Charge Detection Mass Spectrometry: instrumentation, applications and perspectives

CHAIR(S)

Guillaume Van Der Rest (Instructor(s)) (Orsay, France)

Christopher Paul Rüger (Instructor(s)) (Rostock, Germany)

Anisha Haris (Instructor(s)) (Wilmslow, United Kingdom)

OBJECTIVE(S)

This workshop provides an in-depth exploration of how artificial intelligence is transforming mass spectrometry-based proteomics, combining established computational pipelines with emerging interactive AI support.  A first core component focuses on advanced AI-driven tools, which enable more sensitive and specific peptide identification, in particular in the most challenging settings, and which allow innovative new analyses of large-scale datasets. Participants will be introduced to   machine learning–assisted spectrum interpretation, with practical demonstrations illustrating their application in real-world proteomics workflows.
Complementing this, the workshop covers the growing role of conversational AI systems (chatbots) in supporting data analysis. Attendees will learn how conversational exchanges with chatbots can assist in generating reproducible R and Python scripts tailored to specific experimental designs, lowering he barrier to advanced statistical analysis. These AI systems can also provide guidance on appropriate normalization strategies, differential expression testing, and functional enrichment analyses, as well as recommend effective data visualization techniques and implement these to communicate findings 
clearly.

By integrating these two perspectives, the workshop emphasizes not only automation but also augmented decision-making, where researchers remain in control while benefiting from AI-assisted efficiency and insight. The session ultimately aims to equip participants with practical tips and 
skills to streamline proteomics data processing, enhance reproducibility, and foster more informed analytical choices in increasingly complex datasets.

SESSION SCHEDULE

Saturday, 22 August 2026

SC08_1 / 08:00 → 13:00

AI‑driven computational proteomics: tools, pipelines and spectrum interpretation

SC08_2 / 13:00 → 16:00

Conversational AI for statistical proteomics data analysis

SC08_3 / 16:00 → 18:00

Integrated AI workflows: augmented decision‑making, reproducibility and best practices

Sunday, 23 August 2026

SC18_1 / 10:00 → 11:00

AI‑driven computational proteomics: tools, pipelines and spectrum interpretation

SC18_2 / 11:00 → 12:00

Conversational AI for statistical proteomics data analysis

SC18_3 /12:00 → 13:00

Integrated AI workflows: augmented decision‑making, reproducibility and best practices

CHAIR(S)

Lennart Martens (Instructor(s)) (Ghent, Belgium)

Ralf Gabriels (Instructor(s)) (Ghent, Belgium)

OBJECTIVE(S)

Prerequisites:
Familiarity with basic steps of analysis of metabolomics data, such as 
-Ability to generate quantification/feature tables + associated MS/MS spectra from LC-MS/MS data (using a tool such as MZmine, XCMS, OpenMS, or equivalent)
- Familiarity with basic molecular networking concepts
- Basic understanding of experimental design in comparative studies
No prior coding experience is required. The course will have both lectures and hands-on exercises. The participants interested in following the hands-on on a computer should bring their own laptops. Additional instructions will be provided prior to the course.
Untargeted LC-MS/MS-based metabolomics experiments generate many MS/MS spectra and large tables of spectral features. Yet translating these data into robust biological conclusions requires the careful integration of experimental design, metabolite annotation, and statistical inference. This short course provides a conceptual overview of how these components interact within modern MS-based studies and how decisions at each stage influence the reliability and interpretability of downstream results.
The course discusses statistical and AI methods for metabolite annotation, relative quantification, and study design. Particular attention is given to the metabolite annotation and to computational strategies that help translate MS/MS spectra into chemically meaningful hypotheses. Participants will be introduced to complementary approaches including molecular networking, MS2LDA-based substructure discovery (MotifDB), learned spectral similarity methods based on machine learning (Spec2Vec and MS2DeepScore2) and analogue search with MS2Query, as well as strategies for prioritizing candidate annotations (FERMO) and encoding annotation confidence for statistical analysis.
Building on these annotated datasets, the course further introduces the basics of statistical analysis of experiments, illustrating how model-based inference can be applied to LC–MS/MS quantification tables to test biological contrasts, control false discovery rates, and interpret results at the level of individual metabolites as well as broader chemical classes. The course will also discuss principles of statistical experimental design that ensures adequate statistical power and reproducibility of the results.
Overall, the course will illustrate how the combination of sound experimental design, transparent annotation strategies, and rigorous statistical modeling ultimately determines the strength and reproducibility of biological conclusions derived from mass spectrometry data.

After completing the course, participants will:

• Understand how experimental design choices directly influence statistical power, reproducibility, and downstream interpretation in MS-based studies
• Recognize practical strategies to move from spectral features to chemically meaningful metabolite hypotheses using modern annotation workflow

SESSION SCHEDULE

Saturday, 22 August 2026

SC09_1 / 08:00 → 11:00

Conceptual framework for data analysis in untargeted metabolomics

SC09_2 / 11:00 → 15:00

Metabolite annotation using statistical and AI‑based approaches

SC09_3 / 15:00 → 18:00

Statistical analysis, experimental design, and biological interpretation

Sunday, 23 August 2026

SC19_1 / 10:00 → 11:00

Conceptual framework for data analysis in untargeted metabolomics

SC19_2 / 11:00 → 12:00

Metabolite annotation using statistical and AI‑based approaches

SC19_3 / 12:00 → 13:00

Statistical analysis, experimental design, and biological interpretation

CHAIR(S)

Larissa Della Vedova (Instructor(s)) (Wageningen, Netherlands)

Olga Vitek (Instructor(s)) (Boston, United States of America)

OBJECTIVE(S)

This short course will cover the basic concepts of mass spectrometry-based lipidomics and metabolomics, and will cover all steps from sample extraction to initial data analysis and data quality control.

Specific topics are:

- metabolite and lipid extractions

- separation methods in metabolomics and lipidomics (LC, GC, CE, SFC)

- different workflows (targeted, semitargeted, untargeted)

- MS acquisition methods in metabolomics and lipidomics (DDA, DIA, etc)

- study design and quality control

- metabolite and lipid identification (rule-based, library matching, in silico)

- Current challenges in metabolomics: level of annotation and analytical resolution, data analysis, and reporting

- Current challenges; in lipidomics: complexity of the lipidome, normalization, quantification, level of annotation, and analytical resolution

All topics are discussed in the light of current developments in mass spectrometry and recent publications. Examples will be discussed within the group in an interactive fashion

SESSION SCHEDULE

Saturday, 22 August 2026

SC10_1 / 08:00 → 09:15

Metabolite and lipid extractions

SC10_2 / 09:15 → 10:30

Separation methods in metabolomics and lipidomics (LC, GC, CE, SFC)

SC10_3 / 10:30 → 11:45

Different workflows (targeted, semitargeted, untargeted)

SC10_4 / 11:45 → 13:00

MS acquisition methods in metabolomics and lipidomics (DDA, DIA, etc)

SC10_5 / 13:00 → 14:15

Study design and quality control

SC10_6 / 14:15 → 15:30

Metabolite and lipid identification (rule-based, library matching, in silico)

SC10_7 / 15:30 → 16:45

Current challenges in metabolomics: level of annotation and analytical resolution, data analysis, and reporting

SC10_8 / 16:45 → 18:00

Current challenges in lipidomics: complexity of the lipidome, normalization, quantification, level of annotation, and analytical resolution

Sunday, 23 August 2026

SC20_1 / 10:00 → 10:22

Metabolite and lipid extractions

SC20_2 / 10:22 → 10:44

Separation methods in metabolomics and lipidomics (LC, GC, CE, SFC)

SC20_3 / 10:44 → 11:06

Different workflows (targeted, semitargeted, untargeted)

SC20_4 / 11:06 → 11:28

MS acquisition methods in metabolomics and lipidomics (DDA, DIA, etc)

SC20_5 / 11:28 → 11:50

Study design and quality control

SC20_6 / 11:50 → 12:12

Metabolite and lipid identification (rule-based, library matching, in silico)

SC20_7 / 12:12 → 12:34

Current challenges in metabolomics: level of annotation and analytical resolution, data analysis, and reporting

SC20_8 / 12:34 → 12:56

Current challenges in lipidomics: complexity of the lipidome, normalization, quantification, level of annotation, and analytical resolution

CHAIR(S)

Justine Bertrand-Michel (Instructor(s)) (Toulouse, France)

Michal Holčapek (Instructor(s)) (Pardubice, Czechia)

Michael Witting (Instructor(s)) (Oberschleißheim, Germany)