Abstract: A method for increasing the accuracy of a humidity sensor is disclosed. The method comprises: receiving one or more first sets of humidity measurements from a humidity sensor over a period of time, when the humidity sensor is exposed a to a first gas sample having a known humidity level; determining a calibrating humidity measurement from the first sets of humidity measurements; receiving one or more second sets of humidity measurements from the humidity sensor over a period of time, when the humidity sensor is exposed to a second gas sample having an unknown humidity level; and for each second set, subtracting the calibrating humidity measurement from the humidity measurements.

Abstract: A method of an in-situ calibration of a chemiresistor sensor is disclosed. The method comprising: heating and/or cooling at least one chemiresistor sensor in a ?T° C., wherein the at least one chemiresistor sensor is assembled in a sensing device; receiving a first temperature signal indicative of temperature measurement from a temperature sensor located in the sensing device to the chemiresistor sensor; receiving a first signal from the chemiresistor sensor, and determining a mathematical correlation between the first temperature signal and the first signal. In some embodiments, the heating and/or cooling induces changes in the signal indicative of temperature measurement and the signal received from the chemiresistor sensor.

Abstract: A nanoparticle characterized by sensitivity to an analyte of interest and comprising a conductive core in contact with a plurality of first ligands and of second ligands bound to the conductive core is disclosed. Additionally, a chemiresistor sensor comprising the nanoparticles of the invention and a method of using thereof such as for detection of an analyte of interest in a gaseous sample are disclosed.

Abstract: The application discloses a particle for chemiresistor sensor. The particle may include: a nanoparticle core made from a conductive material selected from a group consisting of: Ir, Ir-alloy, IrOx, Ru, Ru-alloy, RuOx and any combination thereof and/or any conducting metallic oxide, having a cross section size of at most 100 nm; and a plurality of organic ligands bonded from one side to the nanoparticle core and capable of interacting with a volatile organic compound.

Abstract: The application discloses a particle for chemiresistor sensor. The particle may include: a nanoparticle core made from a conductive material selected from a group consisting of: Ir, Ir-alloy, IrOx, Ru, Ru-alloy, RuOx and any combination thereof and/or any conducting metallic oxide, having a cross section size of at most 100 nm; and a plurality of organic ligands bonded from one side to the nanoparticle core and capable of interacting with a volatile organic compound.

Abstract: A sensing element for a chemiresistor sensor and a method of making such a sensing element is disclosed. The sensing element may include: one or more first type of 3D elements, each comprising a first type of chemiresistor particles; and one or more second type of 3D elements, each comprising a second type of chemiresistor particles. At least one of the one or more first type of 3D elements and at least one of the one or more second type of 3D elements may have one or more joint surface. The first type of chemiresistor particles may differ from the second type of chemiresistor particles by at least one of: a type of nanoparticle core and a type of organic ligands bonded to each nanoparticle core.

Abstract: A nanoparticle characterized by sensitivity to an analyte of interest and comprising a conductive core in contact with a plurality of ligands bound to the conductive core is disclosed. Additionally, a chemiresistor sensor comprising the nanoparticles of the invention and a method of using thereof such as for detection of an analyte of interest in a gaseous sample are disclosed.

Abstract: A nanoparticle characterized by sensitivity to an analyte of interest, and comprising a conductive core in contact with a plurality of ligands bound to the conductive core is disclosed. Additionally, a chemiresistor sensor comprising the nanoparticles of the invention and a method of using thereof such as for detection of an analyte of interest in a gaseous sample are disclosed.

Abstract: Systems and methods are provided for collecting and sensing volatile compounds (VCs). Systems may comprise a collecting unit for collecting a source of VCs; a container for containing the collected source of VCs; one or more scent recorders comprising at least one sensor for detecting VCs; and a delivery unit for delivering a gas comprising VCs collected from the source, via the container—towards the one or more scent recorders. Optionally, a first portion of the delivered gas comprising the VCs may be used for regenerating the one or more scent recorders, and a second portion of the delivered gas comprising the VCs may be used for sensing the VCs by the one or more scent recorders.

Abstract: The present invention provides methods for profiling the microbiome of a subject from a sample obtained from the subject using a Scent Reader/Recorder which detects and records the scent in the headspace of the sample and generates a pattern of sensor signals that can be analyzed using machine learning techniques. The invention further provides methods for detecting changes in the microbiome profile of a subject, and methods for providing health and nutritional recommendations to subjects.

Abstract: A volatile compounds (VCs) sensing device is disclosed. The sensing device may include: one or more scent recorders, each scent recorder comprising: a plurality of sensors from which at least two have substantially the same chemical composition and differ in at least one known physical attribute; a controller; and electrodes for connecting the one or more scent recorders to the controller.

Abstract: A nanoparticle characterized by sensitivity to an analyte of interest, and comprising a conductive core in contact with a plurality of ligands bound to the conductive core is disclosed. Additionally, a chemiresistor sensor comprising the nanoparticles of the invention and a method of using thereof such as for detection of an analyte of interest in a gaseous sample are disclosed.

Abstract: The application discloses a particle for chemiresistor sensor. The particle may include: a nanoparticle core made from a conductive material selected from a group consisting of: Ir, Ir- alloy, IrOx, Ru, Ru-alloy, RuOx and any combination thereof and/or any conducting metallic oxide, having a cross section size of at most 100 nm; and a plurality of organic ligands bonded from one side to the nanoparticle core and capable of interacting with a volatile organic compound.

Abstract: A sensing element for a chemiresistor sensor and a method of making such a sensing element is disclosed. The sensing element may include: one or more first type of 3D elements, each comprising a first type of chemiresistor particles; and one or more second type of 3D elements, each comprising a second type of chemiresistor particles. At least one of the one or more first type of 3D elements and at least one of the one or more second type of 3D elements may have one or more joint surface. The first type of chemiresistor particles may differ from the second type of chemiresistor particles by at least one of: a type of nanoparticle core and a type of organic ligands bonded to each nanoparticle core.

Abstract: Disclosed is a method of determining a condition of a subject based on Volatile Organic Compounds (VOCs) in a gaseous phase, originating from the subject. The method may include: receiving from one or more sensors a set of sensor signals in response to exposing the one or more sensors to a sample of the VOCs; extracting one or more feature values from the set of sensor signals; receiving a classification model, trained to classify samples of VOCs based on the one or more extracted feature values correlated to one or more condition of the subject; associating the one or more extracted features received from the set of sensor signals with one or more classes of the classification model; and determining the condition of the subject based on the association.