LCMS webinars focusing on LC/MS/MS - page 35

Ensuring Beauty is Safe: Shimadzu's Solutions for Cosmetic Product Testing

Ensuring Beauty is Safe: Shimadzu's Solutions for Cosmetic Product Testing

This webinar highlights key analytical challenges in cosmetics testing, covering fragrance analysis, UV filters in sunscreens, and heavy metals, with a focus on sensitivity and reproducibility.
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Already taken place Tu, 31.12.2024
Shimadzu Corporation
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Ensuring Beauty is Safe: Shimadzu's Solutions for Cosmetic Product Testing
Pushing the Boundaries of MS-Based Clinical Proteomics: Taking Biology Beyond ID Numbers

Pushing the Boundaries of MS-Based Clinical Proteomics: Taking Biology Beyond ID Numbers

This session shows how ZT Scan DIA is transforming clinical proteomics, enabling scalable, high-specificity workflows that bridge biomarker discovery and clinical implementation.
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Already taken place Tu, 31.12.2024
Wiley
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Pushing the Boundaries of MS-Based Clinical Proteomics: Taking Biology Beyond ID Numbers
Overcoming LC Analytical Challenges in Small Molecule Kinase Inhibitor Development

Overcoming LC Analytical Challenges in Small Molecule Kinase Inhibitor Development

This webinar addresses analytical challenges in kinase inhibitor development, including purification from biological fluids, improved analyte recovery, and conditions enabling HRMS detection.
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Already taken place Tu, 31.12.2024
Waters Corporation
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Overcoming LC Analytical Challenges in Small Molecule Kinase Inhibitor Development
Characterizing PROTACs: Scientific Approaches to Overcome LC Analytical Barriers

Characterizing PROTACs: Scientific Approaches to Overcome LC Analytical Barriers

This session discusses analytical challenges in PROTAC drug discovery, including degradation assessment and managing non-specific adsorption during compound development.
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Already taken place Tu, 31.12.2024
Waters Corporation
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Characterizing PROTACs: Scientific Approaches to Overcome LC Analytical Barriers
Biopharma ll: MAM Intro

Biopharma ll: MAM Intro

BioPharma II: MAM Introduction – presented by Melissa Sato, BioPharma Software Workflow Manager at Agilent.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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Biopharma ll: MAM Intro
Biopharma ll: Multi-Attribute Method (MAM): Transforming Biopharmaceutical Characterization

Biopharma ll: Multi-Attribute Method (MAM): Transforming Biopharmaceutical Characterization

This talk introduces the Multi-Attribute Method (MAM) as a modern LC-MS workflow for biopharmaceutical characterization, focusing on QC implementation, regulatory aspects, and software-driven best practices.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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Biopharma ll: Multi-Attribute Method (MAM): Transforming Biopharmaceutical Characterization
Targeted Proteomics: Tiny Samples, Big Accuracy: Large-Panel Targeted Proteomics with 6495D LC/TQ

Targeted Proteomics: Tiny Samples, Big Accuracy: Large-Panel Targeted Proteomics with 6495D LC/TQ

Targeted LC-MS/MS enables highly sensitive quantitative proteomics of very small samples, including single cells.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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Targeted Proteomics: Tiny Samples, Big Accuracy: Large-Panel Targeted Proteomics with 6495D LC/TQ
Targeted Proteomics: SysQuan: Advancing Absolute Quantitative Proteomics Across Biofluids, Tissues, and Multiomics

Targeted Proteomics: SysQuan: Advancing Absolute Quantitative Proteomics Across Biofluids, Tissues, and Multiomics

SysQuan enables absolute protein quantitation using targeted LC-MS/MS in MRM mode across diverse biological matrices.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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Targeted Proteomics: SysQuan: Advancing Absolute Quantitative Proteomics Across Biofluids, Tissues, and Multiomics
PFAS: Streamlining Environmental Data Analysis: A Deep Learning Approach

PFAS: Streamlining Environmental Data Analysis: A Deep Learning Approach

This presentation explores the use of deep learning models for LC-MS/MS MRM data processing in PFAS quantification, demonstrating improved integration accuracy and reduced manual data review.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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PFAS: Streamlining Environmental Data Analysis: A Deep Learning Approach
Exploring the Unknown: Dirty Tricks in Dirty Matrices – identifying fraud in the black pepper supply chain

Exploring the Unknown: Dirty Tricks in Dirty Matrices – identifying fraud in the black pepper supply chain

This talk explores food fraud in the black pepper supply chain, combining LC-QTOF analysis of complex matrices with advanced data processing to identify biomarkers of adulteration and origin fraud.
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Already taken place Tu, 31.12.2024
Agilent Technologies
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Exploring the Unknown: Dirty Tricks in Dirty Matrices – identifying fraud in the black pepper supply chain
 

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