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: 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: Some aspects of the invention may be directed to a catalyst layer for anodes of Alkaline Exchange Membrane Fuel Cells (AEMFC). Such catalyst layer may include catalyst nanoparticles and an ionomer. Each catalyst nanoparticle may include one or more nanoparticles of catalytically active metal supported on at least one nanoparticle of crystalline RuO2. The diameter of the at least one nanoparticle of the crystalline RuO2 may be about order of magnitude larger than the diameter of the one or more nanoparticles of catalytically active metal.

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.

Abstract: The invention relates to a system and method of operating alkaline exchange membrane fuel cells in a bipolar configuration. The system (400) may include a first fuel cell (300A) and a second fuel cell (300B) adjacent to the first fuel cell. Each of the first and second fuel cells may include: a cathode configured to generate hydroxide ions from water, oxygen and electrons, an anode configured to generate water and electrons from the hydroxide ions and hydrogen received from a hydrogen source, and an alkaline exchange membrane configured to transfer the hydroxide ions from the cathode to the anode, and to transfer water from a vicinity of the anode to a vicinity of the cathode. The first fuel cell (300A) and a second fuel cell (300B) are connected by a porous bipolar plate (430A) positioned inbetween.

Abstract: A membrane for fuel cells, such as PEM and/or AEM fuel cells and/or electrolyzers is disclosed. Such a membrane (e.g., an anion conducting membrane) may include: crosslinked ionomer comprising two types of functional groups: a first type of functional groups forming crosslinking bonds between two ionomer chains; and a second type of functional groups comprising ion conducting functional groups. In some embodiments, the crosslinking bonds may not include the ion conducting functional groups. A catalyst coated membrane (CCM) is also disclosed. In such case the membrane may further include at least one catalyst layer attached to at least one side of the membrane to form the catalyst coated membrane (CCM). The at least one catalyst layer may include catalyst nanoparticles and crosslinked ionomer of the catalyst layer comprising two types of functional groups.

Abstract: Some aspects of the invention may be directed to a catalyst layer for anodes of Alkaline Exchange Membrane Fuel Cells (AEMFC). Such catalyst layer may include catalyst nanoparticles and an ionomer. Each catalyst nanoparticle may include one or more nanoparticles of catalytically active metal supported on at least one nanoparticle of crystalline RuO2. The diameter of the at least one nanoparticle of the crystalline RuO2 may be about order of magnitude larger than the diameter of the one or more nanoparticles of catalytically active metal.

Abstract: The invention relates to a system and method of operating alkaline exchange membrane fuel cells in a bipolar configuration. The system (400) may include a first fuel cell (300A) and a second fuel cell (300B) adjacent to the first fuel cell. Each of the first and second fuel cells may include: a cathode configured to generate hydroxide ions from water, oxygen and electrons, an anode configured to generate water and electrons from the hydroxide ions and hydrogen received from a hydrogen source, and an alkaline exchange membrane configured to transfer the hydroxide ions from the cathode to the anode, and to transfer water from a vicinity of the anode to a vicinity of the cathode. The first fuel cell (300A) and a second fuel cell (300B) are connected by a porous bipolar plate (430A) positioned inbetween.