Abstract: Techniques are disclosed for a chemical sensor architecture based on a fabric-based spectrometer. An example apparatus implementing the techniques includes a portable spectrometer device including a first fabric layer and a second fabric layer coupled to the first fabric layer to form a pouch. The second fabric layer includes a fiber fabric spectrometer substrate comprising a fiber material including one or more electronic devices, wherein the pouch is configured to receive a colorimetric substrate and the fiber fabric spectrometer substrate is configured to measure reflectance of a colorimetric substrate disposed in the pouch.

Abstract: Techniques are disclosed for a chemical sensor architecture based on a fabric-based spectrometer. An example apparatus implementing the techniques includes a portable spectrometer device including a first fabric layer and a second fabric layer coupled to the first fabric layer to form a pouch. The second fabric layer includes a fiber fabric spectrometer substrate comprising a fiber material including one or more electronic devices, wherein the pouch is configured to receive a colorimetric substrate and the fiber fabric spectrometer substrate is configured to measure reflectance of a colorimetric substrate disposed in the pouch.

Abstract: Particle detection systems without knowledge of a location and velocity of a particle passing through a volume of space, are less efficient than if knowledge of the particle location is known. An embodiment of a particle position detection system capable of determining an exact location of a particle in a fluid stream is discussed. The detection system may employ a patterned illuminating beam, such that once a particle passes through the various portions of the patterned illuminating beam, a light scattering is produced. The light scattering defines a temporal profile that contains measurement information indicative of an exact particle location. However, knowledge of the exact particle location has several advantages. These advantages include correction of systematic particle measurement errors due to variability of the particle position within the sample volume, targeting of particles based on position, capture of particles based on position, reduced system energy consumption and reduced system complexity.