BIOFLUID SENSING DEVICE NUCLEOTIDE SENSING APPLICATIONS
The disclosed invention addresses an unmet need of biofluid analysis by utilizing the presence of certain nucleotides, e.g., microDNA, eccDNA, DNA fragments, microRNA, RNA fragments, and peptides, in a sample biofluid, such as eccrine sweat, apocrine sweat, blood, serum, saliva or tears, to perform a number of physiological sensing functions. Specifically, the present disclosure provides: (1) a device and method of determining whether a biofluid sensing device is being worn by a specific individual based on a measurement of nucleotides in a biofluid; (2) a device and method of recognizing at least one physiological disease or condition based on nucleotide concentrations, ratios, or trends in a biofluid.
1 .- 40 . (canceled)
41 . A method of determining whether a biofluid sensing device is being worn on a target individual's skin, comprising:
selecting a biofluid nucleotide identification metric, wherein the identification metric is one of the following: a first biofluid nucleotide concentration; a ratio between the first nucleotide concentration and a second biofluid nucleotide concentration; a ratio among a plurality of biofluid nucleotide concentrations; a biofluid nucleotide concentration trend; or a biofluid nucleotide ratio trend;
measuring at least one identification metric on a device wearer;
comparing the identification metric with a known information set for the target individual; and
calculating an identification probability estimate that the device wearer is the target individual.
42 . The method of claim 41 , further comprising constructing an identification profile for the device wearer, wherein the profile includes at least one identification metric measurement.
43 . The method of claim 41 , wherein the information set comprises a nucleotide signature for the target individual, and wherein the nucleotide signature includes one or more identification metric values from the individual.
44 . The method of claim 43 , wherein the nucleotides include at least one of the following: microDNA, eccDNA, DNA fragments, microRNA, RNA fragments, and peptides.
45 . The method of claim 41 wherein the identification probability estimate is calculated using data from at least one of the following secondary biometric sensors: a fingerprint scanner, a retina scanner, an accelerometer, a gait analysis sensor, an impedance respiratory monitor, a heart rate monitor, a galvanic skin response sensor, and a pulse oximetry sensor.
46 . The method of claim 41 , further including determining whether the device is in contact with the wearer's skin.
47 . A method of determining whether a biofluid sensing device wearer has a physiological condition, comprising:
selecting a biofluid nucleotide metric having relevance to the physiological condition, wherein the metric is one of the following: a first biofluid nucleotide concentration; a ratio between the first nucleotide concentration and a second biofluid nucleotide concentration; a ratio among a plurality of biofluid nucleotide concentrations; a biofluid nucleotide concentration trend; or a biofluid nucleotide ratio trend;
measuring one or more nucleotide metric on the device wearer;
comparing the identification metric with a known information set for the physiological condition; and
calculating a probability estimate that the device wearer has the physiological condition.
48 . The method of claim 47 wherein the nucleotides include one or more of the following: microDNA, eccDNA, DNA fragments, microRNA, RNA fragments, and peptides.
49 . The method of claim 47 , wherein the information set includes a nucleotide signature for the physiological condition, and wherein the signature includes one or more biofluid identification metric measurements from an individual having the physiological condition.
50 . The method of claim 49 , wherein the nucleotide signature further includes information about the device wearer.
51 . The method of claim 47 , further comprising measuring a molarity of one or more housekeeping microRNAs in the biofluid sample.
52 . The method of claim 47 , wherein the physiological condition is one of the following: chronic inflammation; cancer; general immune response; specific immune response;
bacterial infection; viral infection; autoimmune disorder; organ transplant rejection; cardiac disorder; brain injury; Parkinson's disease; Alzheimer's disease; and Type II diabetes mellitus.
53 . A biofluid sensing device capable of measuring concentrations of nucleotides in a biofluid sample, and configured to be placed on a device wearer's skin, comprising:
an analyte-specific sensor to provide one or more measurements of one or more nucleotides in the biofluid sample;
a biofluid sample concentration channel having a first end and a second end, wherein the biofluid sample concentrates with respect to the at least one nucleotide as the sample moves from the first end to the second end;
a selectively permeable lysing membrane, wherein the lysing membrane is closer to the first end of the concentration channel than the sensor;
a component for lysing a nucleotide protective complex chosen from one of the following: an electrode with a power controller placed in electrical communication with the lysing membrane; and a lysing agent placed in fluid communication with the lysing membrane; and
a biofluid sample concentration membrane.
54 . The device of claim 53 wherein the one or more nucleotides is one of the following: microDNA, eccDNA, DNA fragments, microRNA, RNA fragments, and peptides.
55 . The device of claim 53 wherein the power controller periodically energizes the lysing membrane.
56 . The device of claim 53 wherein the lysing membrane contains pores to filter out RNase molecules and nucleotide protective complexes.
57 . The device of claim 53 wherein one or more of the measurements is a molarity of a housekeeping miRNA.
58 . The device of claim 53 wherein the device further includes a skin contact detector.
59 . The device of claim 53 wherein the at least one sensor measurement is used to construct a data set correlated with the wearer within a probability range.
60 . The device of claim 59 wherein the data set is comprised of one or more of the following metrics: a first biofluid nucleotide concentration; a ratio between the first nucleotide concentration and a second biofluid nucleotide concentration; a ratio among a plurality of biofluid nucleotide concentrations; a biofluid nucleotide concentration trend; or a biofluid nucleotide ratio trend.