A sensor includes an inner channel with: a first portion; a second portion in communication with the first portion; a storage zone in communication with the first portion; a baffle plate extending inside the first portion; the first portion and the baffle plate being sized such that, in an air stream entering the sensor through a first, open end of the first portion and containing first particles with a diameter of 10 m or less and second particles with a diameter of more than 10 m, the first particles reach the second portion of the inner channel while the second particles reach the storage zone.

An apparatus includes a motor having a first shaft extending therefrom. The motor is configured to apply energy to the first shaft. A particle cartridge mechanically is coupled to the motor via the first shaft. The particle cartridge includes a screen separating an internal volume of the particle cartridge from an environment of the apparatus, and a plurality of particles disposed within the internal volume. A particle manipulation element is mechanically coupled to the first shaft and in contact with the plurality of particles. The particle manipulation element moves in response to the energy being applied to the first shaft to force some of the particles through the screen and into the environment of the apparatus.

An aftertreatment system comprises a particulate filter configured to filter PM possessing a predetermined, least effective size range included in an exhaust gas flowing through the aftertreatment system. A PM sensor assembly is positioned downstream of the particulate filter and includes a housing having an inlet, an outlet, a sidewall and defines an internal volume. A PM sensor is positioned within the internal volume. The housing is configured to redirect a flow of exhaust gas entering the PM sensor assembly around the PM sensor so that small particles included in the exhaust gas flow having a first size within or smaller than the predetermined size range are directed around the particulate matter sensor. Large particles having a second size larger than the predetermined size range impact the PM sensor. A controller is communicatively coupled to the PM sensor.

The present disclosure relates to systems and methods for performing elemental analysis of airborne aerosols. The systems comprise an aerosol collection device for accumulating aerosol particles in a flow of aerosol particles, a radio frequency power supply for providing a glow discharge current to ablate the aerosol particles accumulated in the aerosol collection device, and an optical emission spectrometer or a mass spectrometer for analyzing elements in the ablated aerosol particles. Several types of aerosol collection devices are described.

An apparatus (100) that simulates breathing, which is suitable for use when testing inhalers (14), comprises an inlet (22) to which, in use, an inhaler (14) can be connected, and a vacuum pumping system, which has a vacuum pump (106), a high-speed valve (102) and a flow sensing means (137, 112, 104, 114) interposed between the inlet (22) and the vacuum pump (106), and a controller (126). A user interface (134) enables a user to input a target flow profile (148, 150), which may correspond to human inspiration, such that, in operation, the controller (126) can control the operation of the vacuum pump (106) and the high-speed valve (102) so that the pressure and/or flow rate within the apparatus (100) matches the pressure (150) and/or flow rate (148) of the target flow profile in real-time or near-time.

A lens-free microscope for monitoring air quality includes a housing that contains a vacuum pump configured to draw air into an impaction nozzle. The impaction nozzle has an output located adjacent to an optically transparent substrate for collecting particles. One or more illumination sources are disposed in the housing and are configured to illuminate the collected particles on the optically transparent substrate. An image sensor is located adjacent to the optically transparent substrate, wherein the image sensor collects particle diffraction patterns or holographic images cast upon the image sensor. At least one processor is disposed in the housing and controls the vacuum pump and the one or more illumination sources. Image files are transferred to a separate computing device for image processing using machine learning to identify particles and perform data analysis to output particle images, particle size, particle density, and/or particle type data.

The present invention provides a dust sensor comprising an impactor assembly for passing only relatively small particles among particles contained in air; a light emitting unit for radiating light in a path through which the air introduced through the impact assembly passes; and a light receiving unit for receiving light scattered from particles included in the air passing through the path. The impact assembly may comprise an upper case, a first impactor, and a second impactor. The upper case may include an inlet and an outer downward protruding portion. The first impactor may include a central downward depression and a plurality of slots. The second impactor may include an outlet, a central upward protruding portion, a double-bent portion, an outer upward protruding portion and a guide portion.

A measurement system includes an atomizer, an impactor, a particle counter, and a discharge reservoir. The atomizer has a liquid intake port and a gas intake port configured to aerosolize a liquid received at the liquid intake port. The impactor has an inlet coupled to the atomizer and has a first output port and a second output port. The impactor is configured to separate droplets wherein those droplets smaller than a selected cut point are directed to the first output port and those droplets larger than the selected cut point are directed to the second output port. The particle counter is coupled to the first output port and is configured to count particles larger than at least one particle size cut point. The discharge reservoir is coupled to the second output port.

Various embodiments described herein relate to apparatuses and methods for detecting fluid particles and their characteristics. In various embodiments, a device for detecting fluid particles and their characteristics may comprise a fluid composition sensor configured to receive a volume of fluid. The fluid composition sensor has a collection media housing configured to receive a portion of a collection media, a pump for moving a volume of fluid over the collection media housing, an imaging device configured to capture an image of particles on the collection media, and a particle matter mass concentration calculation circuitry configured to calculate a total particle matter mass. The particle matter mass concentration calculation circuitry is connected with the imaging device and the pump. The particle matter mass concentration calculation circuitry is configured to adjust the volume of fluid over the collection media housing.

A measurement system (100), a measurement method, and a calibration method for a grain particle granulometry measurement system run through a cracking process, in order to define their particle granulometry and analyze its functioning. The grain particle granulometry measurement system (100) comprises: a vibration measurement device (110); and the processing unit (150) connected to the vibration measurement device (110), wherein the vibration measurement device (110) is configured to measure the vibration characteristics of a vibration caused by impacts generated by the grain flow in the vibration measurement device. The grain particle granulometry measurement method comprises: measuring (320) the vibration characteristics caused by the impact of the grain flow; and calculating (370) the grain particle granulometry in the grain flow. The calibration method for a grain particle granulometry measurement system comprises: classifying (220) grain samples by particle granulometry; measuring (240) the vibration characteristics of a vibration caused by the impact of the grain flow of each one of the samples; and creating (280) a mathematical model, based on the measured vibration characteristics for each one of the grain samples.