A system for detecting particles, including: a first device to measure concentration of particles, including an electrometer measuring device coupled to a charger and/or to an optical particle counter; a second device to measure concentration of particles, including a condensation nuclei counter; a calculation unit configured to calculate a ratio and/or a difference between a first measurement of the particle concentration in an airflow, to be performed by the first measurement device, and a second measurement of the particle concentration in an airflow, to be performed by the second measurement device, and configured to provide a comparison between the ratio and/or the difference between the first and second measurements and a threshold value to determine presence of particles of interest other than ambient air particles.

Provided herein are particle detection systems, and related methods configured to characterize a liquid sample, comprising: a first probe configured to determine a first parameter set of a plurality of first particles in a liquid sample, the first particles characterized by a size characteristic selected from a first size range; wherein the first parameter set comprises a first size distribution and a first concentration; and a second probe configured to determine a second parameter set of one or more second particles in the liquid sample, the second particles being characterized by a size characteristic selected from a second size range; wherein the second parameter set comprises a second size distribution and a second concentration.

A particle charger is provided with: a filter (28) partitioning the inside of a housing (20) into a first space (29) and second space (30); a particle introducer (22) for introducing a particle into the first space; a gas ion supplier (10) for supplying the first space with a gas ion; a potential gradient creator (26, 27, 31) for creating a potential difference within the housing so as to make the gas ion and a charged particle resulting from a contact of the aforementioned particle with the gas ion move toward the second space; an AC voltage supplier (32, 33) for applying AC voltages having a phase difference to the neighboring electrodes (28a, b) included in the filter; a controller (35) for performing a control for applying, to the plurality of electrodes, predetermined voltages so as to allow the charged particle to pass through a gap between the electrodes while trapping the gas ion by the electrodes; and a charged particle extractor (23, 25, 34) for extracting the charged particle admitted to the second space to the outside of the housing. By this configuration, the occurrence frequency of the multi-charging is suppressed.

A particle detecting device is provided. The particle detecting device includes a resonator and a piezoelectric actuator. The piezoelectric actuator is used to transport a gas into the resonator, and a mass and a concentration of the screened and required-diameter particles are detected through the resonator. Thus, the air quality can be monitored immediately anytime and anywhere.

A particle sensor for measuring size and concentration properties of particles in a gas includes a bipolar diffusion charger configured to charge particles within a received gas sample by the collision of the received particles with and transfer of charge from both positive and negative ions concurrently. At least one electrometer detects the charge of received particles thereby charged. The net, positive, negative or total charge on the bipolarly charged particles has a low sensitivity to variations in the absolute rate of charge generation in the bipolar diffusion charger. A sensor for a ratio of ion charge mobilities in a bipolar diffusion charger employs an ion trap between the bipolar diffusion charger and at least one electrometer.

A device for extracting and concentrating a target analyte including a sample channel that receives the sample, a separation channel, a waste channel, a first junction between the sample channel and the separation channel, and, a second junction between the separation channel and the waste channel. The first junction selectively transports a first group of analytes, including target analytes, from the sample channel to the separation channel in accordance with a size of a first free transport region of the first junction. The second junction selectively transports a second group of analytes from the separation channel to the waste channel in accordance with a size of a second free transport region of the second junction, the second group being a subset of the first group, so as to concentrate a number of the target analytes in the separation channel.

Disclosed is a passive wireless device for microfluidic detection of multi-level droplets. A primary inductor channel and a secondary inductor channel each comprise two layers of inductance coils, and the inductance coils of the primary inductor channel and the secondary inductor channel are alternately arranged in each layer. A double-resonance circuit is formed after a liquid conductive material is injected. A first part of a detection channel is disposed between a primary capacitor channel, and a second part of a detection channel is disposed between a secondary capacitor channel. A reading device is used to read a resonant frequency of the double-resonance circuit, and perform detection according to the resonant frequency to obtain information of a corresponding first droplet group and/or second droplet group.

Provided are a device and a method for rapidly and simply detecting endotoxin without using an expensive reagent. The endotoxin detection device includes: a region containing an electrolyte solution; a partitioning member that partitions the region into two compartments such that the two compartments are in communication via a nanopore; a first electrode that is disposed in a first compartment; a second electrode that is disposed in a second compartment and is electrically connected to the first electrode; an electrolyte solution flow generating means that causes electrolyte solution in the first compartment to move to the second compartment via the nanopore; an application means that applies voltage between the first electrode and the second electrode; and a monitoring means that monitors current.

A sample introduction system for a spectrometer comprises a desolvation region that receives or generates sample ions from a solvent matrix and removes at least some of the solvent matrix from the sample ions. A separation chamber downstream of the desolvation region has a separation chamber inlet communicating with the desolvation region, for receiving the desolvated sample ions along with non-ionised solvent and solvent ion vapours. The separation chamber has electrodes for generating an electric field within the separation chamber, defining a first flow path for sample ions between the separation chamber inlet and a separation chamber outlet. Unwanted solvent ions and non-ionised solvent vapours are directed away from the separation chamber outlet. The sample introduction system has a reaction chamber with an inlet communicating with the separation chamber outlet, for receiving the sample ions from the separation chamber and for decomposing the received ions into smaller products.

A device for medical analyses with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarized opening, a computer (6) arranged to process a pulse data set by determining a rotation value indicating whether the cell from which this pulse data set has been taken has undergone a rotation during its passage through the polarized opening, and a classifier (8) arranged to retrieve from the computer (6) a given pulse data set, and to use the resulting rotation value to classify the given pulse data set in a rotation pulse data set group (10) or a rotationless pulse data set group (12).