An autonomous bioaerosol sampling and detection system and method adapted to provide real-time detection and identification of bio-organisms in aerosols without human intervention.

Various methods, devices, and systems for determining the concentration of microorganisms in a sample and determining the susceptibility of such microorganisms to one or more antibiotics or other types of anti-infectives are disclosed herein. More specifically, methods for quantifying microorganisms based on redox reactions are disclosed along with systems and devices for quantifying such microorganisms using certain oxidation reduction potential (ORP) sensors. Moreover, methods for determining the susceptibility and the degree of susceptibility of microorganisms to one or more anti-infectives are disclosed along with multiplex systems for such assays.

The present invention relates to a method for measuring characteristics of particles in solution and to a device for performing the same, wherein said method comprises the steps of providing a vessel comprising a sample of said particles in solution, wherein the sample has preferably a volume between 0.1 μL and 15 μL, providing a monochromatic light source and a light detector, transmitting light from the monochromatic light source to the vessel comprising the sample, detecting light emitted from the vessel with the light detector, and determining characteristics of said particles in solution comprised in the sample based on a dynamic light scattering (DLS) measurement.

A laser sensor module measures a particle density of particles with a size of less than 20 μm. The laser sensor module includes: a laser configured to emit a laser beam; a detector; and an optical arrangement. The optical arrangement is configured to focus the laser beam to a focus region. The laser is configured to emit the laser beam through the optical arrangement to the focus region. The optical arrangement has an emission window. The detector is configured to determine an interference signal of an interference of reflected laser light with emitted later light of the laser beam. The laser sensor module is configured to provide an indication signal of a soiling of the emission window based on the interference signal determined during a mechanical excitation of the emission window.

The disclosure relates to a flow cytometer arrangement, in which a sample is mixed with a colorant by means of two pumps and the mixture is introduced together with a sheath flow into a flow cell.

The present invention relates to an apparatus for real-time continuous measurement of airborne microorganisms including a body unit, a vaporization unit, a liquefaction unit, a coating unit, and a measurement unit. The body unit has an inlet through which airborne microorganisms are introduced and an outlet through which airborne microorganisms are discharged. The vaporization unit vaporizes a lysis solution and supplies the vaporized lysis solution to the inside of the body unit. The liquefaction unit cools the vaporized lysis solution to condense the vaporized lysis solution on the surfaces of the airborne microorganisms. The coating unit applies a light-emitting agent onto the airborne microorganisms lysed by the lysis solution. The measurement unit detects the intensity of light generated by reacting the airborne microorganisms and the light-emitting agent and measures the concentration of the airborne microorganisms.

A cuvette for treating and characterizing water via ultrasonic waves and optical measurements comprises at least one ultrasonic transducer for treating said water by introducing at least one ultrasonic pulse into the water. The at least one ultrasonic pulse either varies parameters of the water, and/or moves and repositions particles within the water. The cuvette further comprises a spectrometry device for measuring spectral components of light and at least one light source for irradiating the water with irradiation light. The at least one of the parameters of the water is determined via: (a) measuring the spectral components of light prior to treating the water with said at least one ultrasonic transducer, (b) treating the water with said at least one ultrasonic transducer, (c) remeasuring the spectral components of light to get the difference in said spectral components of light, and (d) determining the value of the at least one parameter of the water based on the difference in said spectral components of light.

Provided is a device for detecting airborne particulate matter in aerosols, comprising: an air sampler to collect a sample of airborne particles suspended in air; an optical sensor; a controller; a fluidic apparatus to, under the control of the controller: capture, from the air sampler, and resuspend in a liquid medium, at least part of the airborne particles of the sample; and deliver the resuspended airborne particles to the optical sensor, which is configured to detect airborne particulate matter in the delivered airborne particles.

Also provided is a method adapted to use the device of the invention, and to a computer program product adapted to implement the method of the invention.

A system for determining an amount of fungal particles in air in a building includes including: an air inlet connected to a filter for filtering particles having a size of 1-120 μm; means for collecting fungal particles from the filtered particles and transferring the collected fungal particles to at least one sample cuvette; means for dry denaturation of the fungal particles; means for producing a voltage change of the dry denaturised fungal particles and means for detection of voltage changes caused by the dry denaturised fungal particles to obtain voltage change data; means for collecting a sample; means for wet denaturation of the fungal particles subsequent to the detection of voltage changes. The system further includes at least two of means for immunological detection of the fungal species in the sample to obtain immunological data; means for measuring glucose concentration of the sample to obtain glucose concentration data; means for measuring light emission of the sample to obtain light emission data.

An autonomous bioaerosol sampling and detection system and method adapted to provide real-time detection and identification of bio-organisms in aerosols without human intervention.