| Literature DB >> 35684847 |
Shouvik Mukherjee1, Shariq Suleman1, Roberto Pilloton2, Jagriti Narang1, Kirti Rani3.
Abstract
Several illnesses that are chronic and acute are becoming more relevant as the world's aging population expands, and the medical sector is transforming rapidly, as a consequence of which the need for "point-of-care" (POC), identification/detection, and real time management of health issues that have been required for a long time are increasing. Biomarkers are biological markers that help to detect status of health or disease. Biosensors' applications are for screening for early detection, chronic disease treatment, health management, and well-being surveillance. Smart devices that allow continual monitoring of vital biomarkers for physiological health monitoring, medical diagnosis, and assessment are becoming increasingly widespread in a variety of applications, ranging from biomedical to healthcare systems of surveillance and monitoring. The term "smart" is used due to the ability of these devices to extract data with intelligence and in real time. Wearable, implantable, ingestible, and portable devices can all be considered smart devices; this is due to their ability of smart interpretation of data, through their smart sensors or biosensors and indicators. Wearable and portable devices have progressed more and more in the shape of various accessories, integrated clothes, and body attachments and inserts. Moreover, implantable and ingestible devices allow for the medical diagnosis and treatment of patients using tiny sensors and biomedical gadgets or devices have become available, thus increasing the quality and efficacy of medical treatments by a significant margin. This article summarizes the state of the art in portable, wearable, ingestible, and implantable devices for health status monitoring and disease management and their possible applications. It also identifies some new technologies that have the potential to contribute to the development of personalized care. Further, these devices are non-invasive in nature, providing information with accuracy and in given time, thus making these devices important for the future use of humanity.Entities:
Keywords: implantable devices; ingestible devices; portable devices; smart devices; wearable devices
Mesh:
Substances:
Year: 2022 PMID: 35684847 PMCID: PMC9185336 DOI: 10.3390/s22114228
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.847
Figure 1The above figure represents implantable devices: (A) Deep brain simulation, (B) implantable cardioverter defibrillators, (C) Boink, and (D) tattoo, and wearable devices: (E) contact lens, (F) dermal patch, (G) devices connected to a smartphone. This diagram is redrawn from [1,18,19,20].
Figure 2No. of devices, prototypes, important experiments, and patents [14,21,22,23,24,25,26,27,28,29,30,31,32].
Figure 3Working diagram of an ingestible pill which represents the components of ingestible pills, the dermal patch which helps in receiving and transmitting data, data stored in the Cloud, and final assessment by a health official. This diagram was redrawn from [61,62].
Figure 4The ingestible thermal monitoring system showing inner epoxy shell, outer silicone coat, printed circuits, temperature-sensing crystal, and communication coils. This diagram was redrawn from [67].
Figure 5Portable devices for health monitoring. (A) Head-mounted devices, (B) wrist-mounted devices, (C) electronic shoe, (D) electronic gloves, (E) e-textiles or smart clothing. This diagram was redrawn from [1].
Figure 6RT-LAMP NBS procedure and working diagram. (A) Procedure for reverse transcription loop mediated isothermal amplification. (B) Nanoparticles-based biosensor. This diagram was drawn from [111,116,117,118].
Figure 7Types of biosensors for detecting Zika virus. This diagram was redrawn from [120].
Table representing portable devices and their use in infectious and non-infectious diseases.
| Portable Device/Biosensor | Disease | Causative Agent | Principle | Disease Type/Marker | Limit of Detection | Advantages | Disadvantages | Reference(s) |
|---|---|---|---|---|---|---|---|---|
| Amperometric | New castle disease | Paramyxovirus | Enzyme label immunoassay | Infectious; | 11.1 ng mL−1 | Short time to detect | Solution contamination | [ |
| Amperometric | Forest spring encephalitis | Tick-borne encephalitis virus | Sandwich gold-labelled immunoassay | Infectious; | 0.0000001 mg mL−1 | Can be detected in a wide concentration range | Unstable substrates may limit use of such sensors | [ |
| Amperometric | Japanese b encephalitis | Japanese encephalitis virus | Probe and label-free immunoassay | Infectious; | 0.000000006 lg pfu mL−1 | Quick plaque formation | - | [ |
| Geno- and immunosensors | Zika fever | Zika virus | (Genosensor) isothermal amplification of viral RNA via nucleic acid sequence-based amplification. | Infectious; | 3 fM | Short time to detect | Elapsed time | [ |
| Potentiometric | Hepatitis B | Hepatitis B virus | Enzyme label immunoassay | Infectious; | 50 fM (approx) | Rapid detection | Extremely dependent on polymerization | [ |
| Light Adressable Potentiometric (LAPS) | New castle disease | Paramyxovirus | Sandwich enzyme-label immunoassay; Field effect transistor technology | Infectious; N type silicon doped with phosphorus | 2 ng mL−1 | Rapid detection | Variation of sensitivity | [ |
| Light Adressable Potentiometric (LAPS) | Venezuelan equine encephalitis | Venezuelan equine encephalitis virus | Sandwich enzyme-label immunoassay; Field effect transistor technology | Infectious; | 30 ng mL−1 | Rapid detection | - | [ |
| Impedance Spectroscopy | Hepatitis B | Hepatitis B virus | Immunoassay | Infectious; | 8 ng mL−1 | Rapid detection | On absence of Au nanoparticle and PVB, it retained sensitivity of 27.6%. | [ |
| Conductometric | Bovine viral diarrhea | Pestivirus | Sandwich immunoassay | Infectious; | 100–10,000 CCID mL−1 | Responds on a wide range | Monoclonal antibodies are significantly more susceptible to epitope loss as a result of chemical treatment | [ |
| Fiber optic evanescent wave biosensor | New castle disease | Paramyxovirus | Sandwich immunoassay with fluorescein labeling | Infectious; | 10 ng mL−1 | Sample analysis can be done along long distances | - | [ |
| Electrochemical Immunosensor | Ovarian cancer | -Type- I-genome alterations in KRAS, BRAF, PTEN, PIK3CA, ARID1A. | Sandwich-based method conjugation of nanoparticles and antigen | Non-infectious; | 0.0016 U/mL | Highly specific | - | [ |
| Colorimetric Biosensor | Ovarian cancer | -Type- I-genome alterations in KRAS, BRAF, PTEN, PIK3CA, ARID1A. | Electric field approach; biotin doped polypyrrole immunosensor based on colorimetric methods | Non-infectious; | PSA-0.7 pg/mL | Rapid detection | - | [ |
| Mass-Based Biosensor | Ovarian cancer | -Type- I-genome alterations in KRAS, BRAF, PTEN, PIK3CA, ARID1A. | Based on gold nano material | Non-infectious; | 2.5 pg/mL | Highly specific | - | [ |
| Optical Biosensor | Ovarian cancer | -Type- I-genome alterations in KRAS, BRAF, PTEN, PIK3CA, ARID1A. | Biochip-based assay | Non-infectious;CA-125 | - | 10–100 times sensitive | [ | |
| (Portable Electronic Nose) PEN 3 (E-Nose) | Colorectal cancer | TP53, KRAS, BRAF, and MMR gene Alleles mutation, 18qLOH, CpG methylation | Metal oxide-based detection and analysis through neural network and random forest | Non-infectious; | - | Highly sensitive | Less specificity | [ |
| GC-TOF-MS | Colorectal cancer | TP53, KRAS, BRAF and MMR gene alleles mutation, 18qLOH, CpG methylation | Volatile organic compound-based detection and analysis through neural network and random forest | Non-infectious; | - | Highly sensitive | Detects molecules, having more than 3 carbon atoms only | [ |
| COVID-19 FET Sensor | COVID-19 | SARS-Cov2 virus | Field effect transistor | Infectious; | 1 fg/mL | Highly sensitive | - | [ |
| RT-LAMP NBS | COVID-19 | SARS-Cov2 virus | Reverse transcription loop mediate isothermal amplification; F1ab and nucleoproteins-based nano biosensor | Infectious; | 12 copies | 100% sensitivity | - | [ |
| Electrochemical DNA Sensor | HCMV Associated disease | Human cytomegalo virus | Based on an EPAD that includes Zn–Ag nanoblooms | Infectious; | 97 copies per mL | Quick fabrication technique can be used to develop it | Expensive wax printers are required | [ |
| Optical Biosensor | HCMV Associated disease | Human cytomegalo virus | SPR-dependent method | Infectious; | - | Reusable | Low selectivity | [ |
| Piezoelectric Biosensor | HCMV Associated disease | Human cytomegalo virus | The technique of strand displacement amplification was used | Infectious; | - | Takes less time to detect | High temperature sensitivity | [ |
| On Chip Flow cytometry | AIDS | HIV | Flow cytometry | Infectious; | 10 µL (whole blood required to detect) | Label-free detection | Difficult for clinical use unless modified with sheath-less focusing techniques | [ |
| Chip NMR Biosensor | Tuberculosis | Mycobacterium Tuberculosis | Miniaturized diagnostic magnetic resonance | Infectious; | 1 ng (approx.) | High Sensitivity and specificity | Micro-coil resistance | [ |