Opportunity
SAM #75N98026Q00685
NIH NIAAA Seeks Agilent Headspace Sampler Upgrade for GC/MS System
Buyer
NIH Office of Logistics and Acquisition Operations
Posted
June 23, 2026
Respond By
July 03, 2026
Identifier
75N98026Q00685
NAICS
811210, 334516
The National Institutes of Health (NIH), Office of Logistics and Acquisition Operations (OLAO), on behalf of the National Institute on Alcohol Abuse and Alcoholism (NIAAA), is seeking to upgrade an Agilent headspace sampler for its GC/MS system. - Government Buyer: - National Institutes of Health (NIH) - National Institute on Alcohol Abuse and Alcoholism (NIAAA) - Office of Logistics and Acquisition Operations (OLAO) - OEM Highlight: - Agilent is the sole Original Equipment Manufacturer (OEM) referenced - Products/Services Requested: - Upgrade of an existing Agilent headspace sampler (no part numbers or quantities specified) - The headspace sampler is a key component of the GC/MS system used for ethanol and metabolite analysis in biological samples - Notable Requirements: - Upgrade must improve sample handling and reduce bias during extended sequence runs - Supports ongoing research in ethanol metabolism - No other vendors or OEMs are mentioned - No specific part numbers, quantities, or additional unique technical requirements provided
Description
he headspace sampler is a critical component of the gas chromatography/mass spectrometry (GC/MS) system, which is utilized for determining ethanol and its metabolites in biological samples. This process is integral to ongoing projects within the NIAAA intramural research program focusing on ethanol metabolism. The sampler functions by hosting samples in its trays and systematically introducing them into the GC/MS instrument. The GC/MS then acquires data for each sample according to a pre-scheduled sequence, processing samples one after another.
Typically, a single sequence run involves 80 samples, requiring approximately 20 hours to complete. During this period, all 80 samples remain in the trays of the headspace sampler at room temperature. This prolonged exposure at room temperature can potentially introduce bias, particularly between samples run at the beginning and those processed at the end of the sequence.