A microfluidic patch for separating specific species in biological fluids, comprising a flow layer comprising: a first porous portion to receive and carry a starting biological fluid containing related species; a multilayer membrane downstream the first porous portion and comprising a plurality of graphene-based sheets spaced among each other to define a plurality of parallel channels transversally interconnected and chemically functionalized to provide from the starting biological fluid an outgoing flow of specific species to be detected; and a second porous portion placed downstream the multilayer membrane to receive and carry the outgoing flow to be detected; the patch comprises a first upstream electrode and a first downstream electrode placed respectively upstream and downstream the multilayer membrane to foster the flow through the multilayer membrane from the first to the second porous portion.

Electrical characteristics of an electrical signal generated by an affinity-based senor are detected, where the affinity-based sensor is configured to bind to a particular biomarker within a body fluid sample and generate the electrical signal based on binding to the particular biomarker. One or more biometric characteristics of a subject are further detected from one or more other sensors. A data set comprising data describing each of the electrical characteristics and each of the one or more biometric characteristics is provided as an input to a machine learning model, which generates an output based on the input that identifies an amount of the particular biomarker present in the body fluid sample based on the input.

A sweat collection device includes a flexible body having a first, outwardly facing surface and a second, skin-facing surface, and a sweat collection channel formed in the body, the sweat collection channel having a first end defining a sweat inlet port, and a second end defining a sweat outlet port. The sweat inlet port and the sweat outlet port are configured to be closed and sealed such that the sweat collection device and the collected sweat therein may be stored and shipped.

The construction of a medical device having a disposable element is disclosed. Detachable elements comprising a body having a retention feature, an electrical contactor, and sensors are also disclosed. Further disclosed are detachable elements comprising a body having a hole and a retention pocket, an electrical contactor, and a printed circuit board assembly (PCB) in contact with the innermost surface of the body that forms the retention pocket. Further disclosed are detachable elements comprising a body having an opening and a printed film comprising conductive elements, where the conductive elements comprise a sensor configured to be aligned with the opening to expose the sensor. Further disclosed are reusable components having matching retention features.

A wearable passive sweat detection device includes at least one detection sensor that includes: a base plate; a sensing element provided on the base plate, the sensing element including a sweat collection portion and a sweat self-driven detection portion, the sweat collection portion being configured to collect sweat discharged by sweat glands of skin, the sweat self-driven detection portion including a guide portion of a semi-conical structure, a test electrode provided on an outer conical surface of the guide portion, and a back electrode, and a narrow end of the guide portion facing the sweat collection portion; and a test element connected with the test electrode and back electrode. The adoption of the conical structure achieves a liquid-solid friction effect to realize passive detection of sweat components; meanwhile, flexibility is realized to facilitate wearing; by using different ion selective films, different ion concentrations can be detected; detection precision is high.

A method (200) for predicting a wellness metric (208, 314, 612) is presented. The method (200) includes maintaining (202) a model which receives as input a set of parameters and provides as output a wellness metric (208, 314, 612). Furthermore, the method (200) includes receiving (204) a set of non-invasive biological parameters (106, 404, 602) of a user (102). In 5 addition, the method (200) includes providing (206) the set of non-invasive biological parameters (106, 404, 602) as the set of parameters to the model to cause the model to generate a wellness metric (208, 314, 612) for the user (102).

A dynamic sensor interface is provided. Such a dynamic sensor interface may include a reaction portion that includes a biological-based or chemical-based ink. Such ink reacts in response to a molecule of interest. The dynamic sensor interface may further include an electrode that detects the reaction by the ink in response to the molecule of interest, as well as a signal interface that emits a signal based on the electrode detecting the reaction. Such a dynamic sensor interface allows for information to be detected and communicated through and between both bio-chemical and electronic systems.

Nanoparticle-fibrous membrane composites are provided as tunable interfacial scaffolds for flexible chemical sensors and biosensors by assembling gold nanoparticles (Au NPs) in a fibrous membrane. The gold nanoparticles are functionalized with organic, polymeric and/or biological molecules. The fibrous membranes may include different filter papers, with one example featuring a multilayered fibrous membrane consisting of a cellulose nanofiber (CN) top layer, an electrospun polyacrylonitrile (PAN) nanofibrous midlayer (or alternate material), and a nonwoven polyethylene terephthalate (PET) fibrous support layer, with the nanoparticles provided on the fibrous membranes through interparticle molecular/polymeric linkages and nanoparticle-nanofibrous interactions. Molecular linkers may be employed to tune hydrogen bonding and electrostatic and/or hydrophobic/hydrophilic interactions to provide sensor specificity to gases or liquids. The sensors act as chemiresistor-type sensors. A preferred implementation is a sweat sensor.

Presented herein are devices for collecting and/or channeling a biofluid (e.g., sweat, tears, saliva) and detecting and/or quantifying one or more biomarkers in the biofluid. The one or more biomarkers may include, for example, ions, salts thereof, hormones and/or steroids, proteins, metabolites and organic compounds. In certain embodiments, the devices described herein include a specially designed interface and a zero-energy micro pump that allow the device to be comfortably affixed directly to the skin of a user while biofluid is efficiently and non-invasively collected from the skin of the user. In certain embodiments, the biofluid collection and sensing device is housed on or in another wearable device, such as a wrist band or a smart watch. In certain embodiments, the devices described herein are disposable (e.g., after a certain period of use and/or wear the device can be disposed and replaced with a low-cost replacement).

Described herein is an amperometric biosensor, e.g., chronoamperometric biosensor for the measurement of the concentration of nicotine. Also disclosed herein is a wearable nicotine biosensor device and a biosensor that detects nicotine in smoke. The biosensor disclosed herein comprises a nicotine-catalyzing enzyme, such as NicA2 or mutant NicA2 enzymes. Also described herein are systems comprising said amperometric biosensor, e.g., chronoamperometric biosensor and methods of using said chronoamperometric biosensor.