# US 11,896,383 B2 · Methods for detecting microorganisms and sterilizing pathogens

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- Number: US 11,896,383 B2
- Document ID: US11896383B2
- Status: Granted
- Kind: B2
- Application number: 17/984,167
- Filed: 2022-11-09
- Published: 2023-05-18
- Granted: 2024-02-13
- Earliest claimed: 2021-08-09
- Applicants: Hetal B. Kurani; Hemal B. Kurani
- Inventors: Hetal B. Kurani; Hemal B. Kurani
- Web page: https://patentgrep.com/patent/US11896383B2

## CPC

- A61B 5/411: {Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance}
- A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)}
- A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet}
- A61B 5/0036: {including treatment, e.g., using an implantable medical device, ablating, ventilating}
- A61B 5/004: {adapted for image acquisition of a particular organ or body part (A61B5/0082 takes precedence; arrangements for optical scanning A61B5/0062)}
- A61B 5/0077: {Devices for viewing the surface of the body, e.g. camera, magnifying lens}
- A61B 5/082: {Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath (A61B5/083, A61B5/091 take precedence)}
- A61B 5/1112: {Global tracking of patients, e.g. by using GPS}
- A61B 5/1171: based on the shapes or appearances of their bodies or parts thereof
- A61B 5/681: {Wristwatch-type devices}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)}
- A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms}
- A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick}
- A61B 5/748: {Selection of a region of interest, e.g. using a graphics tablet}
- A61L 2/02: using physical processes
- G16H 20/60: relating to nutrition control, e.g. diets
- A61B 5/6844: {Monitoring or controlling distance between sensor and tissue}
- A61B 2560/0214: of power generation or supply
- A61B 2560/0242: adapted to measure environmental factors, e.g. temperature, pollution
- A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
- A61B 2562/0247: Pressure sensors
- A61B 2562/0271: Thermal or temperature sensors
- A61B 2562/029: Humidity sensors
- A61B 2562/06: Arrangements of multiple sensors of different types
- A61B 2576/00: Medical imaging apparatus involving image processing or analysis (A61B1/00009, A61B6/52 and A61B8/52 take precedence)
- A61L 2/04: Heat (radiation A61L2/08)
- A61L 2/08: Radiation
- A61L 2/10: Ultraviolet [UV] radiation
- A61L 2/12: Microwaves
- A61L 2/24: Apparatus using programmed or automatic operation
- A61L 2/26: Accessories
- A61L 2103/05: Living organisms or biological materials
- A61L 2202/14: Means for controlling sterilisation processes, data processing, presentation and storage means, e.g. sensors, controllers, programs
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- A61L: METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES (preservation of bodies or disinfecting characterised by the agents employed A01N; preserving, e.g. sterilising, food or foodstuffs A23; preparations for medical, dental or toiletry purposes A61K)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A method comprising a wearable device which consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a single board computer, a power supply unit, a band fastener, and a set of watch adapters. The microbial biosensor detects, measures, and monitors beneficial microorganisms and pathogens in a nasal cavity, an oral cavity, or on a surface. The microbial biosensor sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air comprising beneficial microorganisms, pathogens, pollen grains, dust mite allergens, and an air quality index. The particulate matter sensor sterilizer kills pathogens. The enviro sensor detects, monitors, and measures environmental conditions surrounding the user.

## Claims

### Claim 1

A method for sterilizing comprising: providing a wearable device comprising:
a smart band, wherein the smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a single board computer, a power supply unit, a band fastener, and a set of watch adapters;
a display unit, wherein the display unit comprises a touchscreen, a display unit power button, a crown, and a set of attachment slots;
wherein the microbial biosensor comprises a transmitter, a receiver, a sterilizer, a picocamera, and a microbial biosensor power button;
wherein the microbial biosensor is configured to detect, measure, and monitor a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level in a nasal cavity, an oral cavity, or on a surface utilizing the transmitter, the receiver, and the picocamera;
wherein the microbial biosensor is configured to detect, measure, and monitor a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism concentration in the nasal cavity, the oral cavity, or on the surface utilizing the transmitter, the receiver, and the picocamera;
wherein the sterilizer is configured to kill the pathogen type;
wherein the particulate matter sensor comprises a sensing cavity;
wherein the sensing cavity is configured to detect suspended particles of picometer, nanometer, and micrometer sizes and is configured to differentiate and identify the suspended particles in the air;
wherein the particulate matter sensor is configured to detect, measure, and monitor utilizing the sensing cavity a set of particulate matter parameters in a surrounding air comprising: microorganism parameters comprising:
a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level; and
a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism;
a pollen type, a pollen count, and a pollen allergy level;
a dust mite allergen count and a dust mite allergy level;
a particulate matter concentration; and
an air quality index;
wherein the enviro sensor comprises a set of sensors;
wherein the power supply unit comprises a wireless charging unit, a battery, a charging port, and a band power button; and
a microbiome mobile application.

### Claim 2 (depends on 1)

The method of claim 1, wherein the microbial biosensor performs the following:
strap the wearable device around a user wrist;
power on the wearable device by pressing the band power button;
power on the microbial biosensor by pressing the microbial biosensor power button;
face the microbial biosensor to a nasal cavity;
auto verify the identity of the nasal cavity utilizing the picocamera of the user of the wearable device;
detect a pathogen inside the nasal cavity with the microbial biosensor;
display a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level on the microbiome mobile application;
detect a beneficial microorganism inside the nasal cavity with the microbial biosensor;
display a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism concentration on the microbiome mobile application;
sterilize the pathogen type found inside the nasal cavity by pressing and holding the microbial biosensor power button; and
power off the microbial biosensor by pressing the microbial biosensor power button.

### Claim 3 (depends on 2)

The method of claim 2, wherein the microbial biosensor performs the following steps:
strap the wearable device around the user wrist;
power on the wearable device by pressing the band power button;
power on the microbial biosensor by pressing the microbial biosensor power button;
face the microbial biosensor to an oral cavity;
auto verify the identity of the oral cavity utilizing the picocamera of the user of the wearable device;
detect a pathogen inside the oral cavity with the microbial biosensor;
display a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level on the microbiome mobile application;
detect a beneficial microorganism inside the oral cavity with the microbial biosensor;
display a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism concentration on the microbiome mobile application;
sterilize the pathogen type found inside the oral cavity by pressing and holding the microbial biosensor power button; and
power off the microbial biosensor by pressing the microbial biosensor power button.

### Claim 4 (depends on 3)

The method of claim 3, wherein the microbial biosensor performs the following steps:
strap the wearable device around the user wrist;
power on the wearable device by pressing the band power button;
power on the microbial biosensor by pressing the microbial biosensor power button;
face the microbial biosensor to a surface;
auto verify the identity of the surface utilizing the picocamera of the user of the wearable device;
detect a pathogen on the surface with the microbial biosensor;
display a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level on the microbiome mobile application;
detect a beneficial microorganism on the surface with the microbial biosensor;
display a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism concentration on the microbiome mobile application;
sterilize the pathogen type found on the surface by pressing and holding the microbial biosensor power button; and
power off the microbial biosensor by pressing the microbial biosensor power button.

### Claim 5 (depends on 4)

The method of claim 4, wherein the particulate matter sensor performs the following:
air enters an air channel part of a sensing cavity;
a laser source containing a laser beam radiates particles in the air entering through the air channel, passing through a light scattering measuring cavity of the particulate matter sensor;
calculate a particle diameter and a number of particles with different diameters per unit volume;
air then flows through an imaging cavity of the particulate matter sensor;
an imaging system captures images and videos of the particles passing through the imaging cavity;
differentiate and identify air particles utilizing the sensing cavity;
detect a pathogen count, a pathogen type, a pathogen concentration, and a pathogen biosafety level;
detect a beneficial microorganism count, a beneficial microorganism type, and a beneficial microorganism concentration;
detect a pollen type, a pollen count, and a pollen allergy level;
detect a dust mite allergen count and a dust mite allergy level;
detect a particulate matter concentration;
calculate an air quality index;
display the pathogen count, the pathogen type, the pathogen concentration, and the pathogen biosafety level on the microbiome mobile application;
display the beneficial microorganism count, the beneficial microorganism type, and the beneficial microorganism concentration on the microbiome mobile application;
display the pollen type, the pollen count, and the pollen allergy level on the microbiome mobile application;
display the dust mite allergen count and the dust mite allergy level on the microbiome mobile application;
auto sterilize the pathogen type in the air after it passes through the imaging cavity;
send a neighborhood public biosafety alert to the wearable device when the pathogen biosafety level is above a predetermined threshold level, indicating that there is a pathogen type in the surrounding air at a location which can result in disease outbreak; and
display a corrective and a preventive measure on the microbiome mobile application to reduce exposure to the pathogen type.