ASMS: Agilent Breakfast Sessions
Breakfast sessions
- Location: Baltimore Convention Center, 1 West Pratt Street, Baltimore, Maryland 21201
- Room: 336 and 341/342
- Date: Mon–Wed, 2–4 June
- Time: 7:00–8:15 a.m.
Fuel Your Morning with Coffee, Connections, and Cutting-Edge Insights
Start your day in Baltimore with a cup of coffee and engaging discussions with experts from academia, industry, and Agilent. Discover how the latest innovations in system intelligence, performance, and capability are advancing applications across various fields.
Each morning, from 7:00–8:15 AM EDT, we'll host two concurrent breakfast sessions in Rooms 341/342 and Room 336 at the Baltimore Convention Center. Choose the session that best aligns with your interests and register below. Can’t attend in person? No problem! All sessions will be recorded and available for on-demand viewing after the event.
Monday, June 2
Omics
- Room 341/342
Profiling metabolism across scales by mass spectrometry
- Gary Patti - Washington University St. Louis
Fructose consumption has increased considerably over the past five decades, largely due to the widespread use of high-fructose corn syrup as a sweetener. We aimed to determine whether diets high in fructose influence the development and progression of multiple types of cancer including melanoma, breast cancer, colon cancer, and cervical cancer. Indeed, all of the tumors we examined grew faster in the presence of dietary fructose, some by a factor of 3. Interestingly, however, the cancer cells themselves were incapable of metabolizing the fructose directly. AP-MALDI imaging and multi-omics profiling by using QTOF and QqQ instruments revealed a mechanism by which fructose induced growth indirectly via nutrient transfer.
Discovery of novel oxylipins and the proteins that regulate them
- Judi Simcox - University of Wisconsin - Madison
Oxylipins are signaling lipids that regulate inflammation, energy expenditure, and pain perception. Despite their importance, the mechanisms that regulate these oxylipins and the breadth of the oxylipins themselves remains under-explored. We identified a novel 4-hydroxylation of acylcarnitines that is associate with cardiovascular disease, and developed a targeted method to distinguish the position of the 4-hydroxylation in acylcarnitines and fatty acids from the 3- and 9-hydroxylations that are most prevalent. In collaboration with the Pagliarini lab we worked to identify the enzymes responsible for the catabolism of these 4-hydroxylated fatty acids processing these from complex matrixes spanning cell culture, murine studies, and plasma. Many oxylipins are in low abundance, but through curation of a targeted library with the Agilent 6495D Triple Quadrupole LC/MS system, we can detect 154 distinct species. Through employment of this oxylipin library, which includes the 4-hydroxylated fatty acids and acylcarnitines, allowed us to determine how these lipids are regulated by diet, physiological stress, and disease state. Future work will aim to understand the function of these 4-hydroxylated acylcarnitines and determine how they are dysregulated in cardiovascular disease.
Biopharma I
- Room 336
Advance your Lab with the Launch of Next-Gen LC-Mass Detection
- Patrick Batoon & Ian Edwards - Agilent Technologies, Inc.
Molecules are getting more complex and so are the challenges. In fast paced environments like research, development or manufacture delivering the right information at the right time can be the difference between success or failure. Learn how Next Generation LC-Mass Detection will revolutionize your mass confirmation and purification workflows so that you can efficiently gain more meaningful information from molecules large and small.
- Unparalleled performance
- User-friendly intelligence
- Unmatched sensitivity
- Widest mass range
- Stackable eco-friendly footprint
Listen to how expert level high quality data is now accessible to all skill levels through system intelligence that drives productivity giving you peace of mind to keep up with deliverables whatever you stage of research or development. Say hello to effortless integration of state-of-the-art mass detection with best-in-class Infinity III LC separation with InfinityLab Assist, and OpenLab CDS for cost efficient streamlined mass confirmation and mass based fraction collection solutions that ensure confidence in high-quality outcomes to keep your programs moving.
Tuesday, June 3
Exploring the Unknown
- Room 341/342
Become an Explorer of xenobiotic biotransformations and get SIRIUS with their identification
- Mark Sartain - Agilent Technologies, Inc.
- Martin Andre Hoffmann - Bright Giant GmbH
MassHunter Explorer simplifies nontargeted high-resolution LC/Q-TOF data analysis by providing a workflow-guided interface for rapid data extraction, alignment, normalization, filtering, and statistical evaluation, all within a single application. New Explorer 2.0 boosts functionality by automating the extraction of MS/MS spectra from compounds and integrating spectral library searching, as well as seamlessly transferring these MS/MS spectra to SIRIUS/CSI:FingerID for true unknown identification.
We demonstrate how SIRIUS can be used as part of a unique workflow to analyze data from biological matrices and identify biotransformation products of various drugs for which no reference spectra exist. We then showcase how the newly integrated spectral analogue matching and other tools in SIRIUS can be used to manually verify structure annotations and guide researchers to confident identifications.
Dirty Tricks in Dirty Matrices – identifying fraud in the black pepper supply chain
- Nick Birse – Queens University Belfast
Black pepper is one of the most popular spices; it is used globally as a flavouring or seasoning in a wide variety of different cuisines and accordingly is produced in several countries globally. Pepper, as with most other herbs and spices, is typically grown on smaller farms, reaching the consumer after passing through a series of complex and opaque intermediaries, the ideal scenario for various frauds to be perpetrated. Food fraud is a major concern of governments and industry bodies, as well as consumers themselves, representing health risks to consumers and economic risks to governments and industry.
The talk will introduce some typical types of fraud found in black pepper, introducing adulteration, which is the most serious concern, but also touching upon geographic origin fraud, which represents a growing concern in a market where tariffs and tax evasion represents a growing financial risk to business and government.
The talk will cover the analysis strategy, from sample preparation through to analysis on the Agilent Revident LC-QTOF platform; the analysis of black pepper is complicated by the nature of the matrix, which is considered to be one of the harsher on both the UPLC system and the MS itself. The talk will then follow through the data processing workflow using Agilent MassHunter Explorer to obtain robust biomarkers which can be used for a number of purposes, but primarily to detect various frauds within the product being tested.
PFAS
- Room 336
Streamlining Environmental Data Analysis: A Deep Learning Approach
- Ruoji Luo - Agilent Technologies, Inc.
Per- and polyfluoroalkyl substances (PFAS), a class of emerging persistent organic pollutants (POPs), are present at trace levels not only in the environment (water, soil, and air) but also in food. The quantitative analysis of PFAS is typically conducted using liquid or gas chromatography-tandem mass spectrometry (LC-MS/MS, GC-MS/MS). Despite the high sensitivity of these instruments, PFAS analysis remains challenging.
In this work, we tested a complete workflow integrating several DL architectures, tailored for liquid chromatography-tandem mass spectrometry (LC-MS/MS) data in multiple reaction monitoring (MRM) mode for the quantitative analysis of PFAS. Several convolutional neural network (CNN)-based architectures and a transformer-based model are evaluated and their performance compared. Preliminary results show that both models improve upon existing automatic integration algorithms. When a trained DL model is deployed, data review time can be significantly reduced by eliminating most of the manual data analysis steps, on a compound-by-compound basis.
Wait! Are You Saying there are PFAS in Air Now?
- Matthew Curtis - Agilent Technologies, Inc.
Come learn about the considerations, configuration, and results achieved using Gerstel thermal desorption technology with Agilent GC/TQ.
Wednesday, June 4
Targeted Proteomics
- Room 341/342
SysQuan: Advancing Absolute Quantitative Proteomics Across Biofluids, Tissues, and Multiomics
- Christoph Borchers - McGill University
SysQuan leverages stable isotope-labeled mice as internal standards to overcome challenges in quantitative proteomics, enabling absolute protein quantitation with high reproducibility, multiplexicity and scalability across plasma, tissues, and implementation in multiomics workflows. Using targeted multiple reaction monitoring on the newest Agilent 6495D system coupled to Evosep chromatography, the approach facilitates streamlined sample processing and broad protein profiling. It enables high-throughput quantitation of hundreds of liver proteins in one-pot (or One-Tip) digestion and single injection experiments while also integrating metabolomics and lipidomics to analyze hundreds of plasma proteins together with up to 50 biochemical classes, more than 300 small molecules, and more than 900 lipids. This cost-effective method enhances cross-laboratory comparisons, and large-scale biomarker discovery and validation, setting a new standard for quantitative proteomics.
Tiny Samples, Big Accuracy: Large-Panel Targeted Proteomics with 6495D LC/TQ
- Linfeng Wu - Agilent Technologies, Inc.
Quantitative analysis of low amount samples such as single cell proteome requires highly sensitive instruments. Targeted quantification analysis using Evosep One, Newomics ion source and Agilent 6495D Triple Quadrupole LC/MS significantly increased method sensitivity. Enhanced acquisition software on 6495D LC/TQ enable 10K targeted transitions from over 1000 peptides in a method. These improvements together greatly increase method selectivity, sensitivity and throughput for proteomic quantification in tiny samples.
Biopharma II
- Room 336
MAM Intro
- Melissa Sato - Agilent Technologies, Inc.
Multi-Attribute Method (MAM): Transforming Biopharmaceutical Characterization
- Jared Auclair - Northeastern University
The Multi-Attribute Method (MAM) has emerged as a powerful analytical approach that is transforming biopharmaceutical characterization by providing a more precise, comprehensive, and data-rich alternative to traditional quality control assays. MAM leverages high-resolution mass spectrometry to simultaneously monitor critical quality attributes (CQAs), detect product- and process-related impurities, and streamline regulatory compliance, thereby enhancing both product development and lifecycle management. This talk will introduce MAM as an innovative workflow, highlighting its advantages over conventional assays, including increased specificity, reduced assay variability, and improved efficiency in biomanufacturing. We will discuss current industry applications, regulatory perspectives, and best practices for implementing MAM in quality control environments. Highlighting the following best practices with Agilent’s software examples/screenshots:
- Simplified Workflows Execution
- Built-in Compliance-Ready Software
- Automated Data Handling with Back-up and Archiving
- Run Results Accessibility and Ease of Review/Approval
- Historical Results Accessibility and Visualization
- Management of Laboratory Instrument Compliance and Performance
Additionally, we will explore the future of MAM, including advancements in automation, AI-driven data analysis, and expanded applications beyond biopharmaceuticals into cell and gene therapies, novel modalities, and personalized medicine. Attendees will gain a deeper understanding of MAM’s transformative potential, practical implementation considerations, and the evolving roadmap for this technique in the next generation of biopharmaceutical analysis. Whether you are new to MAM or looking to expand its application within your organization, this session will provide valuable insights into its growing role in analytical sciences.
