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Scalable Plasma and Feed Sample Preparation Workflows Using Automated Liquid Handling for Targeted LC-MS/MS Testing

Award Number: U18FD008939
ORGANIZATION: FOOD AND DRUG ADMINISTRATION
OPDIV: FDA
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: KDA (KNOWLEDGE/DEVELOPMENT/APPLICATION)
PERIOD OF PERFORMANCE START DATE: 09/01/2026
PERIOD OF PERFORMANCE END DATE: 08/31/2027

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Scalable Plasma and Feed Sample Preparation Workflows Using Automated Liquid Handling for Targeted LC-MS/MS Testing - Project Summary / Abstract In this laboratory, LC-MS/MS instrumentation is generally not the limiting factor during diagnostic and regulatory investigations. Instead, throughput is constrained by manual sample preparation steps, particularly post-extraction handling steps such as internal standard addition, dilution, and aliquoting. These steps are time-consuming, introduce analyst-dependent variability, and limit batch size during higher-volume investigations, directly impacting turnaround time. This project addresses that limitation through a staged and practical implementation of automated liquid handling. Initial work will focus on tetracycline analysis in plasma matrices, where conditions are controlled and the impact of automation on reproducibility and workflow consistency can be clearly demonstrated. This provides a low-risk platform to establish automated workflows and generate performance data under conditions that are straightforward to manage. Following this initial phase, the workflow will be extended to feed matrices, where sample preparation and cleanup represent a more significant operational challenge and where improvements in throughput and consistency are most impactful for regulatory investigations. Representative feed matrices will be used to evaluate cleanup approaches and define a workflow that performs consistently under real-world diagnostic conditions. Where feasible, the workflow will be expanded to include additional antimicrobial classes relevant to feed contamination. However, the primary objective is to establish a robust and reproducible workflow that improves throughput and reduces variability within existing laboratory operations. Because this approach will be integrated into routine diagnostic testing, it will remain active and immediately deployable when needed. This work directly supports Vet-LIRN activities by improving laboratory capacity to process samples generated through consumer complaint investigations and regulatory response efforts related to animal food safety.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $74,565 )
2026	2026	KANSAS STATE UNIVERSITY	1601 VATTIER STREET	MANHATTAN	KS	66506	RILEY	USA	Food and Drug Administration Research	000	1	9/23/2026	NEW	$74,565
														Subtotal = $74,565

Grand Total All Awards = $74,565

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Scalable Plasma and Feed Sample Preparation Workflows Using Automated Liquid Handling for Targeted LC-MS/MS Testing

Award Number: U18FD008939

ORGANIZATION: FOOD AND DRUG ADMINISTRATION

OPDIV: FDA

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: KDA (KNOWLEDGE/DEVELOPMENT/APPLICATION)

PERIOD OF PERFORMANCE START DATE: 09/01/2026

PERIOD OF PERFORMANCE END DATE: 08/31/2027

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