qPCR Machine

The U.S. Geological Survey is conducting market research to determine qualified vendors capable of supplying a qPCR machine and intends to receive capabilities statements by July 14, 2026. This is a sources-sought announcement for planning purposes; the government is not committed to contract award and will not reimburse response costs.

The instrument must support TaqMan hydrolysis probe assays, SYBR Green dye-based assays, and standard PCR master mixes with a minimum 7-log dynamic range (101–107 template copies), quantitative accuracy with R² ≥ 0.99, and detection sensitivity approaching 10 copies per reaction. The system requires six-color multiplex fluorescence detection with independently controlled thermal zones optimizing annealing temperatures between 50–70°C, support for reaction volumes of 10–50 microliters in 384-well optical plates, and high well-to-well uniformity. The instrument must perform absolute quantification, relative quantification (ΔΔCt), melt curve analysis, and allelic discrimination with excitation/emission filters compatible with FAM, VIC, JUN, ABY, TAMRA, Cy5, and ROX fluorophores.

Integrated software must be compatible with Applied Biosystems QuantStudio Design and Analysis Software, support R-based statistical workflows, and enable analysis compatible with existing laboratory data processing pipelines. The system must support continuous daily operation for 8–12 hours with multiple consecutive 384-well runs, include automated calibration and quality control capabilities, and provide optical detection calibrated for low-abundance transcript detection with calibration traceable to manufacturer standards. The vendor must provide comprehensive technical support, factory-authorized service, and readily available replacement parts throughout the instrument's operational life.

NAICS 334516 (Analytical Laboratory Instrument Manufacturing) with 1,000-employee size standard applies. PSC 6640 (Laboratory Equipment and Supplies) governs this procurement. Responses must be submitted by email to elizabeth_adam@ios.doi.gov no later than July 14, 2026, at 12:00 p.m. ET.