REAL TIME DEVICE AND HYBRID METHOD FOR DETECTING AND IDENTIFYING HUMAN CORONAVIRUS IN SAMPLE SPECIMENS
20210379582 · 2021-12-09
Inventors
Cpc classification
B01L2200/16
PERFORMING OPERATIONS; TRANSPORTING
G01N2469/20
PHYSICS
B01L2200/141
PERFORMING OPERATIONS; TRANSPORTING
B01L2300/025
PERFORMING OPERATIONS; TRANSPORTING
B01L2300/0861
PERFORMING OPERATIONS; TRANSPORTING
B01L2200/0621
PERFORMING OPERATIONS; TRANSPORTING
International classification
Abstract
This disclosure relates to portable devices for detecting various virus antibodies for the detection of virus diseases. Viral infections, such as those from SARS-CoV family viruses, HIV family viruses, and other family viruses can be detected by their antibodies or DNA in a clinical specimen.
Claims
1. A portable device for detecting and identifying one or more virus antibody compounds in a swab, saliva or blood specimen sample of a subject comprising: a sensor module disposed in a housing, wherein the sensor module collects data for detecting and identifying one or more SARS-CoV-2 antibody compounds; a biosensor array connected to the portable device, wherein the biosensor array comprises at least one biosensor comprising one or more carbon electrodes having SARS-CoV-2 antibodies immobilized with gold nanoparticles; a communication apparatus connected to the sensor module, wherein the communication apparatus electrically transmits the data collected by the sensor module; and a battery disposed to the communication apparatus and the sensor module.
2. The portable device of claim 1, further comprising a processing apparatus, wherein the processing apparatus processes the data collected by the sensor module and transmitted by the communication apparatus, thereby detecting and identifying the one or more antibody compounds, and wherein the processing apparatus is electronically or wirelessly connected to the communication apparatus.
3. The portable device of claim 2, wherein the processing apparatus transmits the identity of the one or more SARS-CoV-2 antibody compounds detected in the specimen sample to a display.
4. The device of claim 1, further comprising an amplifier, wherein the amplifier is connected to the sensor module, and wherein the amplifier amplifies data collected by the sensor module.
5. The device of claim 1, wherein the one or more SARS-CoV-2 antibody compounds are detected in real time.
6. (canceled)
7. (canceled)
8. The device of claim 1, wherein the one or more SARS-CoV-2 antibody compounds are selected from the group consisting of SARS-CoV-2-nucleocapsid antibody, SARS-CoV-2-spike antibody, SARS-CoV-2 membrane antibody, and SARS-CoV-2 envelope antibody.
9.-13. (canceled)
14. A method for detecting and identifying one or more SARS-CoV-2 antibody compounds in a sample specimen of a subject comprising: transmitting the sample specimen of a subject collected on a biosensor array to a housing, wherein the biosensor array is connected to the housing, wherein the biosensor array comprises at least one biosensor comprising one or more carbon electrodes having SARS-CoV-2 antibodies immobilized with gold nanoparticles, and wherein the housing comprises a sensor module, a communication apparatus and a battery; collecting data about the presence and identity of the one or more SARS-CoV-2 antibody compounds with the sensor module; communicating the collected data via the communication apparatus to a processing apparatus; and processing the communicated data to detect and identify the one or more SARS-CoV-2 antibody compounds in the sample specimen.
15. The method of claim 14, wherein the SARS-CoV-2 antibody compounds are selected from the group consisting of SARS-CoV-2-nucleocapsid antibody, SARS-CoV-2-spike antibody, SARS-CoV-2 membrane antibody, and SARS-CoV-2 envelope antibody.
16. The device of claim 1, wherein the at least one biosensor further comprises a binding agent and an amplification agent deposited on the one or more carbon electrodes.
Description
BRIEF DESCRIPTION OF THE FIGURES
[0021] The disclosure is best understood from the following detailed description when read in conjunction with the accompanying drawings. It is emphasized that, according to common practice, the various features of the drawings are not to-scale. On the contrary, the dimensions of the various features are arbitrarily expanded or reduced for clarity.
[0022] The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawings will be provided by the Office upon request and payment of the necessary fee.
[0023]
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[0029] The following detailed description includes references to the accompanying drawings, which form part of the detailed description. The drawings depict illustrations, in accordance with example embodiments. These example embodiments, which are also referred to herein as “examples,” are described in enough detail to enable those skilled in the art to practice the present subject matter. The example embodiments may be combined, other embodiments may be utilized, or structural, logical, and electrical changes may be made, without departing from the scope of the claimed subject matter. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope is defined by the appended claims and their equivalents.
DETAILED DESCRIPTION OF THE INVENTION
[0030] Illustrated embodiments herein are directed to systems, methods, and devices for detecting and identifying certain substances, such as antibody compounds in the sample specimen of a subject or person in real-time. Further, certain embodiments of the disclosure can be directed to systems, methods, and devices for virus diagnosis of a subject or person. Technical effects of certain embodiments of the disclosure may include providing diagnosis and treatment for particular health conditions related to the detection and identification of certain substances, such as an antibody or DNA in the sample specimen of a subject or person in real-time.
[0031] Novel sensor technologies, such as nanocompositions with sensing elements, can be combined with mobile communication devices, such as smart phones, and cloud computing to create technical solutions for respiratory analysis, diagnosis, and subsequent treatment. Novel sensors used in combination with the processor of a smart phone and/or remote server, and a biomarker processing module or engine with a neural network or pattern matching algorithm, can be used to detect antibodies or virus DNA from sample specimens. Embodiments of the disclosure can have many useful and valuable applications in the biomedical industries, health care and medical care sectors.
[0032] Health conditions that can be detected by certain embodiments of the disclosure can include, for example, but are not limited to, adenovirus, enterovirus, human coronavirus, human metapneumovirus, rhinovirus (RV), influenza, parainfluenza and respiratory syncytial virus (RSV), severe acute respiratory syndrome coronavirus (SARS-CoV), middle East respiratory syndrome coronavirus (MERS-CoV), coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), adeno-associated virus, aichi virus, banna virus, bunyamwera virus, bunyavirus, cercopithecine herpesvirus, chandipura virus, dengue virus, dhori virus, dugbe virus, duvenhage virus, eastern equine encephalitis virus, ebolavirus, echovirus, encephalomyocarditis virus, GB virus C/hepatitis G virus, hantaan virus, hepatitis, human immunodeficiency virus, lassa virus, lymphocytic choriomeningitis virus, mayaro virus, measles virus, mengo encephalomyocarditis virus, mokola virus, nipah virus, rabies virus, rotavirus, rotavirus, rubella virus, salivirus, sapporo virus, seoul virus, variola virus, yellow fever virus, zika virus, etc.
[0033] As used herein, “target biomolecule” refers to signal and signal patterns associated with concentrations or amounts of certain substances associated with diagnosing or treating a health condition.
[0034] As used herein, “real-time” refers to an event or a sequence of acts, such as those executed by a computer processor that are perceivable by a subject, person, user, or observer at substantially the same time that the event is occurring or that the acts are being performed. By way of example, if a neural network receives an input based on sensing and identifying a target antibody, a result can be generated at substantially the same time that the target molecule was sensed and identified. The real-time processing of the input by the neural network may have a slight time delay associated with converting the sensed compound to an electrical signal for an input to the neural network; however, any such delay may typically be less than 1 minute and usually no more than a few seconds.
[0035] One skilled in the art will recognize that various embodiments of the disclosure discuss the analysis of antibody compounds, though certain embodiments of the disclosure can also be used for the analysis of viruses.
[0036] Disclosed herein are portable devices and methods for detecting and identifying antibody compounds in one or more sample specimens of a subject. Also disclosed herein are immobilization methods with different antibody for biosensor substrates.
[0037] Referring to
[0038] In some embodiments, a portable device, such as the one illustrated in
[0039] The process described herein is illustrated in
[0040] A portable device 300 is illustrated in a sectional view in
[0041] In some embodiments, an inlet, such as a sample well, allows a sample specimen of a subject to enter the sensor module. In one embodiment, a sensor module is positioned in the housing of a portable device to receive the sample specimen of the subject. In some aspects, the sensor module includes an array of sensors, e.g., biosensors, which may be independently capable of detecting the presence of one or more antibody compounds in the sample specimen of a subject. In some aspects, the array of biosensors is attached to a base, which may be molded plastic or ceramic. In some embodiments, the biosensors are selected to detect the presence of one or more antibody compounds in the sample specimen of the subject. In certain embodiments, sensor modules are replaceable, which allows the portable device to be rapidly adapted to recognizing the presence and identity of many different types of antibody compounds.
[0042] A micro fluidic, electrochemical biosensor array, as described in certain embodiments, is shown in
[0043] In one embodiment, a simple electrochemical sensor identifies and detects one or more antibody compounds in a sample specimen, for example, glycoprotein P41, in the blood of a subject. In some aspects, a sample encounters an electrochemical sensor which may include a counter electrode, five working electrodes, and a reference electrode. The counter electrode is, for example, made of carbon paint, while the reference electrode is, for example, made of silver paint. In other aspects, counter and reference electrodes may be made of boron doped diamond, silver (Ag) or platinum (Pt). Electrodes which may be used in the sensors described herein include, but are not limited to, multiwalled carbon nanotubes (MWCNT)/Ag nanohybrids/Au, Ag nanoparticles/DNA/glassy carbon electrodes (GCE), nano-CuO/Ni/Pt, PtPdFe3O4 nanoparticles/GCE, Co3O4 nanoparticles/GCE, Cu2O/Ni/Au, AgMnO2-MWCNTs/GCE, immobilized with antibody with carbon nanostructure or graphene gold nanocomposites, etc. In some aspects, application of voltage to working electrodes, which includes carbon paint and multi-wall carbon nanotubes, leads to recognition of the presence and identity of one or more antibody compounds in the sample specimen of the subject.
[0044] Gold nanoparticles (AuNPs) are the most stable metal nanoparticles, due to their unique optical, electrical, and catalytic activity, as well as high biocompatibility properties and enhanced electron transfer rate. Therefore, they have shown wide applications in various electrochemical biosensors. Gold nanoparticles can be prepared by the chemical or electrochemical reduction of gold salt. Electrode deposition of AuNPs on the surface of carbon electrodes is appealing due to its direct, fast and easier preparation method.
[0045] Other materials which may be used in working electrodes include but are not limited to immobilized antibody gold nanoparticles, graphene, carbon nanotubes, reduced graphene, graphene oxide, carbon nanofibers, quantum dots, fullerene, carbon polymer nanocomposites, glassy carbon, carbon fiber nanocomposite, carbon black, etc. In the electrochemical biosensor illustrated in
[0046] An exemplary sensor for use in a biosensor module as described herein is illustrated in
[0047] In some embodiments, as seen in
[0048] In some embodiments, DC voltage of 5V is applied directly to the microcontroller embedded in the sensor module which then transfers signals to the communication device and display device. Electrical signals may monitor on Mat lab in real-time fashion. Readings record in terms of electrical resistance. In some aspects, electrical resistance can be displayed into current and voltage gain if required by reconfiguring the program for the microcontroller.
[0049] An exemplary battery is a lithium ion battery, which are conventional and available from many commercial sources (e.g., Panasonic DMW-BCM14 battery). Many batteries are known in the art and may be used in the portable devices described herein.
[0050] In some embodiments, the processing apparatus will be a conventional general-purpose computer which includes a display device and a communication interface which allows reception and transmittal of information from other devices and systems via any communication interface. The processing module may detect and identify the antibody compounds in the sample specimen of the subject by processing the data received from the sensor module with results sent to the display device. Any general-purpose computer known in the art which has sufficient processing power to analyze data provided by the sensor module may be used in conjunction with the portable devices described herein.
[0051] In some embodiments, data from sensors in the sensor module is analyzed using pattern and recognition systems such as, for example, artificial neural networks, which include, for example, multi-layer perception, generalized regression neural network, fuzzy inference systems, etc., and statistical methods such as principal component analysis, partial least squares, multiples linear regression, etc. Artificial neural networks are data processing architectures that use interconnected nodes (i.e., neurons) to map complex input patterns with a complex output pattern. Importantly, neural networks can learn from using various input output training sets.
[0052] An exemplary artificial neural network can process data received from the sensor module. In general, the neural network can use three different layers of neurons. The first layer is input layer, which receives data from sensor module, the second layer is hidden layer while the third layer is output layer, which provides the result of the analysis. In some aspects, each neuron in hidden layer is connected to each neuron in input layer and each neuron in output layer. In the exemplified neural network, hidden layer processes data received from input layer and provides the result to output layer. Although only one hidden layer is described herein, any number of hidden layers may be used, with the number of neurons limited only by processing power and memory of the general-purpose computer or smart phone. In certain aspects, the inputs to the input neurons are inputs from the sensors in the sensor module. If, for example, seven sensors are in the sensor module, then the input layer will have seven neurons. In general, the number of output neurons corresponds to the number of compounds that the sensor module is trained to detect and identify. The number of hidden neurons may vary considerably. In some embodiments, the number of hidden neurons is between about 4 to about 10.
[0053] In some embodiments, the one or more compounds which are detected and identified using the portable devices are detected and identified directly. Pharmaceutical compounds which may be directly identified and detected include, but are not limited to, anti-gp41, anti-gp120, SC2A, IgG, anti-M2, BCN antibodies, monoclonal antibodies (MAbs), anti-CD4bs, ADCVI antibody, anti-HA, anti-FLAG, SARS-CoV-2-N antibody, SARS-CoV-2 nucleocapsid antibody, SARS-CoV-2-S antibody, SARS-CoV-2 N Ab (IgG), spike glycoprotein antibody, p21 antibody, ACE 2 antibody, gp150 antibody, CD147 antigen antibody, serine 2 antibody, MERS-CoV spike (S) protein, anti-HA antibody, anti-rhinovirus antibody, anti-HCV antibodies or HCoV-229E antigen protein. In certain embodiments, the one or more compounds which are detected and identified using the portable device are SARS-Cov-2 antibodies. For example, the one or more compounds which are detected and identified using the portable device are selected from the group consisting of SARS-CoV-2-nucleocapsid antibody, SARS-CoV-2-spike antibody, SARS-CoV-2 membrane antibody, and SARS-CoV-2 envelope antibody.
[0054] In some embodiments, the nanoparticle is chitosan and a polymer, polyvinyl alcohol nanoparticles or polyvinylpyrolidine nanoparticles, which may be made by methods well known in the art. In other embodiments, the polymer used with chitosan is tripolyphosphate, HPMC, HPC, PVP, ethyl cellulose, PEG, cellulose acetate phthalate and derivatives thereof, bioadhesive coatings such as, for example, poly(butadiene-maleic anhydride-co-L-DOPA) (PBMAD), etc.
[0055] The example mobile communication device shown in
[0056] Those of skill in the art will appreciate that combinations of nanocomposite immobilized antibodies with antibody marker compounds at varying concentrations can be used to create a vast library of sequential viral detection. For example, glycoprotein p41, which includes the immobilized carbon nanostructure material, can be detected at different concentrations ranging from 50 copies per ml to 5×10.sup.6 copies per ml by differential pulse voltammetry and can be readily distinguished as illustrated in
[0057] In some embodiments, the devices and methods described herein are used to diagnose a subject as suffering from or having suffered from a viral infection. In certain embodiments, the devices and methods described herein are used to diagnose or identify a patient as having or had a coronavirus. For example, a subject may be diagnosed as suffering from or recovering from a SARS-CoV-2 infection. In one embodiment, a sample specimen from the subject is positive for SARS-CoV-2 antibodies. In certain embodiments, the sample specimen from the subject comprises one or more antibody compounds selected from the group consisting of SARS-CoV-2-nucleocapsid antibody, SARS-CoV-2-spike antibody, SARS-CoV-2 membrane antibody, and SARS-CoV-2 envelope antibody.
[0058] Many modifications and other embodiments of the example descriptions set forth herein to which these descriptions pertain will come to mind having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Thus, it will be appreciated that the disclosure may be embodied in many forms and should not be limited to the example embodiments described above. Therefore, it is to be understood that the disclosure is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.