Harshada Sapre on Muck Rack

Harshada Sapre

Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Harshada

Contact Harshada, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Retrieval-Augmented Language Models Enable Scalable Chemical Source Classification in Metabolomics Workflows

|
By Prajit Rajkumar, Runbang Tang, Jasmine Zemlin, Harshada Sapre
| dx.doi.org
Introduction Click to copy section linkSection link copied! In LC-MS/MS-based untargeted metabolomics, initial compound annotations are typically generated by matching experimental MS/MS spectra against reference libraries of known molecules. The resulting output is a list of candidate compounds, ion forms (e.g., [M+H]+, [M+Na]+), and associated names or structures.
Open in Who Shared Issue with article?
See all 1 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified