| Literature DB >> 35448313 |
Nuna G Costa1, Joana C Antunes2,3, Antonio J Paleo2, Ana M Rocha2.
Abstract
The continued focus on improving the quality of human life has encouraged the development of increasingly efficient, durable, and cost-effective products in healthcare. Over the last decade, there has been substantial development in the field of technical and interactive textiles that combine expertise in electronics, biology, chemistry, and physics. Most recently, the creation of textile biosensors capable of quantifying biometric data in biological fluids is being studied, to detect a specific disease or the physical condition of an individual. The ultimate goal is to provide access to medical diagnosis anytime and anywhere. Presently, alcohol is considered the most commonly used addictive substance worldwide, being one of the main causes of death in road accidents. Thus, it is important to think of solutions capable of minimizing this public health problem. Alcohol biosensors constitute an excellent tool to aid at improving road safety. Hence, this review explores concepts about alcohol biomarkers, the composition of human sweat and the correlation between alcohol and blood. Different components and requirements of a biosensor are reviewed, along with the electrochemical techniques to evaluate its performance, in addition to construction techniques of textile-based biosensors. Special attention is given to the determination of biomarkers that must be low cost and fast, so the use of biomimetic materials to recognize and detect the target analyte is turning into an attractive option to improve electrochemical behavior.Entities:
Keywords: alcohol; biomarkers; biomimetic; biosensor; road accidents; target analyte
Mesh:
Substances:
Year: 2022 PMID: 35448313 PMCID: PMC9026542 DOI: 10.3390/bios12040252
Source DB: PubMed Journal: Biosensors (Basel) ISSN: 2079-6374
Figure 1Eccrine sweat gland structure and biomarker partitioning [43].
Figure 2Average sweat gland density (glands/cm2) on various regions of the body [44].
Figure 3Human skin structure and two types of sweat loss in the skin surface: sensible sweat and insensible sweat [50].
Overview of wearable/flexible biosensors to detect alcohol in sweat.
| Device | Localization | Testing Status and Availability | Ref. |
|---|---|---|---|
| SCRAMTM produced by Alcohol Monitoring Systems (AMS) in Littleton, USA. | Ankle | It is the most widely used wearable device in clinical research trials and has been adopted internationally by justice systems for court monitored sobriety since 1997, being the most representative alcohol biosensor nowadays. | [ |
| WristTasTM produced by GINER lab, in Newton, MA | Wrist | It was developed primarily for use in medical settings with more compliant subjects, but lacks the protocols for detecting results‘ tampering and has not yet been adapted for court use. Completed laboratory testing has been done to the device, but it is not currently commercially available. | [ |
| BACtrack Skyn produced by BACKtrack in San Francisco, California | Wrist | Newest generation of wrist biosensors. Is a bracelet capable of measuring alcohol levels through insensible sweat. Commercially available since 2015. | [ |
| ProofTM produced by Milo Sensors in Santa Bárbara, California, USA | Wrist | Bracelet that utilizes an enzymatic electrochemical biosensor cartridge for alcohol detection, which can be coupled to a Smartphone App that targets safe recreational alcohol consumption with an integrated social aspect. Discontinued after laboratory testing. | [ |
| Quantac Tally produced by Quantac Inc. in New York, USA | Wrist | Combines alcohol monitoring data in its coupled smartphone App with health-related metrics to inform the wearer of personalized insights into health impacts of their alcohol consumption. Discontinued after laboratory testing. | [ |
| Iontophoretic Biosensing System produced by Kim et.al in Departments of Nanoengineering and Electrical & Computer Engineering, University of San Diego, California, USA | Tatto on arm | Screen-printed commercial tatto paper with silver and silver chloride electrodes. The electronic system transfer the results via Bluetooth via the wearer’s mobile device. Currently in laboratory testing. | [ |
| AlcoWear produced by McAfee et al. in San Francisco, California, USA | Wrist | Gait smartphone AlcoGait application paired with any smart watch to measure accelerometer and gyroscope. Currently in laboratory testing. | [ |
| Sensor-equipped Smart Shoes produced by Eunjeong Park and his team, in University Departments of Los Angeles, California/Boston, Massachusetts, USA and Seol, Korea | Shoes | Gait using pressure sensors inserted in insole of shoe. Currently in laboratory testing. | [ |
Figure 4Roadmap of Flexible Electrochemical Biosensors for Alcohol Monitoring.
Flexible biosensors to detect alcohol in sweat.
| Platform | Target Analyte/Bioreceptor | Measurement Technique | Linear Range | Ref. |
|---|---|---|---|---|
| Electrochemical biosensor: flexible co-planar Au or ZnO integrated in PI from bonding | EtG/EtG antibody | Electrochemical Impedance Spectroscopy (EIS) | 2 × 10−6–2.17 mM | [ |
| Optical biosensor: polyethylene strip composed of two enzymes | Ethanol/Alcohol Oxidase (AOx) and Horseradish peroxidase (HRP) | Chronoamperometry | 0–54.23 mM | [ |
| Electrochemical biosensor: hydrogel adhesive with screen printed electrodes | Ethanol/AOx | Chronoamperometry | 3.0–36.0 mM | [ |
Figure 5Schematic of the main components and mechanism of a biosensor [63].
Figure 6Possibilities of different components of a biosensor [49].
Figure 7(a) —Typical voltammogram for a reversible system, where Ipa is the Anodic peak current and Ipc is the Cathodic peak current [74]. (bi)—Scheme of application of potentials: sum of a staircase and a square wave [74]. (bii)—Schematic square wave voltammogram of a redox reversible process [74]. (c)—Nyquist plot that illustrates both real (Z′) and imaginary (Z″) components of impedance [68].
Advantages and disadvantages of the electrochemical techniques.
| Method | Description | Advantages | Disadvantages | Ref. |
|---|---|---|---|---|
| Potentiometry | It is based on the measurement of the potential difference of the working electrode and the reference electrode. This potential difference is formed when, for example, an antigen-antibody interaction occurs, and it is measured under practically zero current conditions. |
Simple dectection scheme and signal processing; Suitable for detecting analytes in the Mm concentration range. |
Requires more time and cost of analysis. | [ |
| Chronoamperometry | Direct measurement of the redox reaction current under a constant potential applied to the working electrode. The measured current is the rate of transferred electrons as a function of time, being proportional to the concentration of the target analyte. |
Simple detection; Easy post-processing to convert analyte concentration into electrical current; Mediators can be used in order to reduce the necessary potential and, therefore, energy consumption. |
-Usually an enzyme is needed to provide selectivity; -It may result in an inaccurate concentration conversion if the linear range of the analyte to be detected is below µM. | [ |
| Voltametry | It consists of applying a potential in the electrochemical cell, measuring the resulting current. Voltammetric methods can be divided into Cyclic Volametry (CV); Differential Pulse Voltammetry (DPV); Linear Scanning Voltammetry (LSV); Square Wave Voltammetry (SWV). |
Ability to extract multiple analytes at once; It obtains specific qualitative and quantitative information about the species involved in the redox reaction; Good ability to detect drugs, hormones and heavy metals. |
Complex post-processing when compared with chronoamperometry to extract and identify peaks corresponding to the desired analyte; | [ |
| Elechtrochemical Impedance Spectoscopy | Electrode impedance measurement. It characterizes the structure and function of electrodes, especially those that have been modified with biological material. |
Rapid technique for characterizing the structure and functional operation of electrodes using biomaterials; Good ability to detect drugs, hormones and heavy metals |
Long analysis times; Post-processing more complex than voltammetry; It may have low sensitivity, being necessary to include amplification techniques. | [ |
| Conductimetry | It measures the variation in electrical conductivity that occurs in biological processes and that is caused by changes that occur in the concentration of ionic species in solution. |
Possibility of monitoring changes in electrode conductance. |
Mostly used with enzymes; Difficulty in performing. | [ |
Figure 8Schematic representation of the molecular imprinting process. 1—complexation; 2—polymerization; 3—extraction [85].
Immobilization techniques.
| Technique | Caracteristics | Advantages | Disadvantages | References |
|---|---|---|---|---|
| Adsorption |
Weak forces such as Van der Wall Forces; Hydrogen Bonding; Hydrophobic or Electrostatic Interactions |
Simplicity Low cost Wide range of support materials |
Harsh environments could lead to desorption from the bioreceptor It does not be able to control the orientation of the bioreceptor on the surface | [ |
| Crosslinking |
Bond between bioreceptor/cross linker |
-Simplicity -Irreversible binding -High surface coverage |
Loss of activity due to structural rearrangements; Toxicity | [ |
| Entrapment |
Incorporation of the bioreceptor within a gel or polymer |
Stability and protection of the bioactive agent against degradation |
Diffusional limitations; Possibility of biomolecule leakage | [ |
| Covalent |
Covalent bonds are in general formed between side-chain-exposed functional groups of modified supports |
Strong binding High stability Most feasible for long term use |
Irreversible binding; Complexity and cost. Risk of activity loss during immobilization. | [ |
Represents the list of various materials employed in the development of flexible biosensors. Note_ N/I means No Information.
| Biosensor | Target | Bioreceptor | Materials | Linear Range | LOD | Ref. |
|---|---|---|---|---|---|---|
| Monitoring alcohol consumption through sweating | EtG | Antibody EtG |
Coplanar electrodes of gold and zinc oxide; Polyamide (PA) substrates; Glass substrates; | 0.001–100 μg/L | (Au) | [ |
| Applications in detecting the point of exposure to Influenza A virus | Influenza A | Antibody specific for the H1N1 Influenza A protein |
Conductive electrodes of silver (Ag); Graphene oxide (GO) transduction film; PA and Cotton (CO) substrates. | 10 ng/mL– | 10 ng/mL | [ |
| Detection of redox active biomolecules in biological fluid with a textile organic electrochemical transducer | Adrenaline; | N/I |
Electrodes of PEDOT:PSS; CO and Lycra substrates. | Adrenaline: | Adrenaline: 0.78 ± 0.05 × 10−8
| [ |
| pH monitoring to detect diseases such as diabetes | Glucose | Glucose Oxidase Enzyme |
RE of (Ag/Ag/Cl) WE of graphite; Substrate of 55% Cellulose/45% PES | N/I | N/I | [ |
| Monitoring the lactate level in sweat to detect diseases such as heart/circulatory failure, metabolic/respiratory disorders | Lactate | Lactate Oxidase Enzyme |
AE of Au elastomeric fiber; Au/Ag/AgCl RE with PVB (polyvinyl buturial) couting; WE of gold fiber followed by a layer of chitosan (CS) | 0 mM– | 0.137 mM | [ |
Figure 9Typical design of an electrochemical biosensor produced by screen printing [109].
Figure 10Screen Printing process to produce a biosensor. 1—printing of electrical contacts; 2—printing of RE; 3—printing of AE; 4—printing of WE; 5—printing of insulating layer [118].