Discrete water sampling is resource and time intensive. It also involves the need for the scientist with or without a vessel to be on site to take the discrete sample.
Stanford researchers have developed a portable sensor device for rapid detection of heavy metal ions using a sulfidation process and concentrator for increased visual detection.
Stanford researchers have designed and tested an electrochemical gas sensor which can detect volatile organic species in the gas phase and differentiate multiple species with a single chip.
Stanford researchers have developed a streamlined method for simultaneously estimating a broad range of hydrocarbon fuel physical and chemical properties for a wide range of fuels.
Researchers in Prof. Ronald K. Hanson's laboratory have developed a non-intrusive gas sensor designed for high performance temperature and species concentration measurements in high pressure, particulate laden environments.
Stanford researchers have developed two related inventions which advance the state-of-the-art of CMUT's (capacitive micromachined ultrasonic transducers).
Stanford researchers have invented a fully water-soluble, orange hydrazine sensor that can robustly quantify the toxin hydrazine in liquids such as drinking water, waste water (treated and untreated), and bodily fluids.
Stanford researchers at the Bao Lab have designed and fabricated a highly stretchable, tough, and self-healable material with high fatigue resistance applicable for electronic (e-) skin devices.
Stanford researchers in the Khuri-Yakub Ultrasonics Group have developed a powerful new bio-sensor platform technology for a highly sensitive non-invasive detection of molecules and particles, suitable for various types of point of care diagnostic tests.
Stanford researchers have developed a simple and rapid epoxy-based method for transferring photonic crystal (PC) cavities to the tip of an optical fiber.
Engineers in the Stanford Microfluidics Laboratory have developed a sensitive, high-resolution, label-free detection method for identifying and quantifying analytes on chip-based electrophoretic assays.