The Department of Defense (DoD) is seeking proposals for a Small Business Innovation Research (SBIR) program focused on the topic of "Field-level Detection of Hydraulic Fluid Contamination in Jet Fuel". The objective of this research is to develop an integrated, palm-sized analytical instrument with control software that utilizes an Artificial Intelligence Deep Learning Algorithm. This instrument should be capable of detecting, identifying, and quantifying the presence of aviation grade hydraulic fluid and/or Polyalphaolefin (PAO) coolant contamination in a jet fuel sample within five minutes of analysis initiation. The instrument should have a targeted final cost of $2,500 or less, excluding consumables and calibrations. The research will be conducted in two phases. In Phase I, a proof of concept will be developed, and in Phase II, eight prototypes will be evaluated in a laboratory and field environment. The prototypes must demonstrate the ability to detect, identify, and quantify the presence of contamination in jet fuel samples. The ultimate goal is to commercialize the instrument for use by commercial and government entities, overhaul facilities, and DoD users/depot facilities. The research is being conducted by the Air Force branch of the Department of Defense. The solicitation is currently closed, and more information can be found on the grants.gov website.