Abstract
Research on remote health monitoring through wearable sensors has attained popularity in recent decades mainly due to aging population and expensive health care services. Microfluidic wearable sweat sensors provide economical, non-invasive mode of sample collection, important physiological information, and continuous tracking of human health. Recent advances in wearable sensors focus on electrochemical monitoring of biomarkers in sweat and can be applicable in various fields like fitness monitoring, nutrition, and medical diagnosis. This review focuses on the evolution of wearable devices from benchtop electrochemical systems to microfluidic-based wearable sensors. Major classification of wearable sensors like skin contact-based and biofluidic-based sensors are discussed. Furthermore, sweat chemistry and related biomarkers are explained in addition to integration of microfluidic systems in wearable sweat sensors. At last, recent advances in wearable electrochemical sweat sensors are discussed, which includes tattoo-based, paper microfluidics, patches, wrist band, and belt-based wearable sensors.
I. INTRODUCTION
Recently, due to high demand for user friendly and portable health monitoring devices, researcher find the solution in wearable sensors to facilitate a non-invasive and continuous real-time health monitoring for humans.1,2 Wearable devices are expected to govern the future of health monitoring and sports medical diagnostics due to its easy wearability, operation, and delivery of spontaneous sensing information about the analytes.3,4 Body fluids-based analyte like saliva, tears, urine, and sweat provides precise diagnostic information upon investigation.5–7 Traditional analytical methods often use bulky and expensive instruments with complex sample loading. To overcome these constraints, compact wearable health monitoring devices are preferred for a rapid analysis.8 As of late, we experience an extraordinary growth in the field of wearable devices (Scheme 1), which integrates diverse research areas like nanoscience and technology, flexible electronics, microfluidics, and wireless technology.9
Scheme 1.
Various microfluidic wearable devices for the sweat analysis
Sweat is one of the many important body fluids that secretes for regulating the core body temperature.10 Sweat contains the following metabolites like proteins, ions, and a large number of small molecules that includes lactate, glucose, and amino acids.11,12 The components of sweat possess a rich information regarding human health. Some important diagnostics are made possible through sweat biomarkers like metabolic activities, dehydration status, and cystic fibrosis.13,14 Also, sweat has become a vital body fluid for drug-related investigations as well.15 Sweat is collected through various activities like heating, iontophoresis, reverse iontophoresis, and physical activities.16 Collected sweat is directly processed for analysis unlike blood where it is an invasive process. Sweat-based sensor causes less irritation than blood-dependent sensors for humans. Sweat is easy to process, store, and transport than other body fluids. The fast, real-time, and continuous sweat analysis can be performed through a wearable sensor.17,18
Numerous wearable sensors for the sweat analysis are recently reported in patch formats, tattoos, eyeglasses, papers, wrist bands, and textile integrated devices.19–21 The challenging part of these wearable sweat sensors is the fabrication of a sensing element that should be designed to be in an intimate contact with skin constantly. Continuous and precise investigation becomes quite difficult because of sweat aggregation, reabsorption of electrolyte by sweat glands, and dehydration.19 Additionally, the mechanical activity causes friction among the sensing element and the surface of skin. The friction in some cases induces damages to delicate sensor components and chemicals used in sensor may lead to skin exasperation.22
Despite many advantages, the wearable sensor also presents numerous issues like sweat evaporation, contamination of sweat, interference of chemicals, mixing of new and old sweat, and biodegradation.23,24 In order to minimize these issues, establishing an efficient sweat processing technology is of great importance. One such technique is integration of microfluidics in the sensor system.25–27 The objective of using microfluidics is channelled collection of sweat and structured mobility of sweat samples to the detection site.28 The microfluidic system offers continuous sweat sampling though its micro-sized channels and delivering it in the detection area. Microfluidic channels are often connected to electrodes that prevent re-absorption back to the surface of skin and also sweat evaporation.29–31 Some ideal requirements for microfluidics to be used in wearable sensors are conforming capability, light weight, and user friendliness. These are achieved through flexible polymer materials.32 Microfluidic channels only allow desired amount of sweat sample for the analysis. This behavior improves accuracy and reliability of wearable sensors.33 Additionally, microfluidics has little chambers in the system, which stores the sweat for future analysis. The most traditional way of microfluidic fabrication methods is chemical etching using glass or silica and also photolithography.34–36 The resultant microfluidic product from these techniques is not uniform and requires usage of chemicals. So, 3D printing technology is an efficient alternative option where it can create economical and flexible microfluidic channels. Integrating these 3D printed microfluidics into a wearable sweat sensor is the futuristic way of health monitoring systems.37,38 This review concentrates on wearable sensing technology for health monitoring applications. Further discussions will cover the evolution, and types of wearable devices, sweat chemistry, and the influence of microfluidics in wearable sensor systems. We have also discussed the current advances in microfluidic-based wearable health monitoring, which are reported in recent years.
II. EVOLUTION OF WEARABLE DEVICES
In 1960s and 1970s, electrochemical analytical procedures predominantly relied on big devices and electrodes.39 Later in 1980s, huge interest and demand started arising for biosensors, and as a result, researchers started developing chemically modified electrodes for boosting the performance of electrochemical-based sensors.40 This strategy ultimately led to the establishment of enzyme-based glucose biosensors.41 In 1990s, we observed the research studies shifted in the direction of miniaturization of sensors. This paved the way for evolution in electrochemical studies like emergence of screen-printed electrodes and portable analytical devices.42 Early part of 2000s experienced a tremendous advancement in microfluidic-based biosensors,43 potentiometric sensors,44 flexible materials for electrode fabrication,45 and portable electrochemical instruments.46 In addition to this, many catalytic nanomaterials also developed like metallic nanomaterials,47 carbon nanomaterials,48 etc., for electrochemical sensing. Specially, carbon nanotubes (CNTs) and graphene revolutionized the flexible electrochemical sensors.49,50 The first ever commercial continuous non-invasive glucose monitoring device is developed (GlucoWatch).51 Glucose monitoring devices effectively transitioned into a clinical tool for diagnostics and inspired millions of researchers to work toward the development of similar biosensing wearable platform for other harmful diseases concerning humans. All the growth of biosensors from 1980s to technological advancements (flexible printed electronics and wireless technology) until date assisted in the fabrication of high-performance point-of-care (POC) electrochemical biosensors for health monitoring applications.52 Lately, body-conformal wearable biosensors equipped with mobile tracking facilities of human vitals are an important field of research since 2010.53 The brief history and evolution of wearable devices are shown in Fig. 1.
FIG. 1.
Evolution of electrochemical wearable devices. Traditional electrochemical instruments commonly used in 1990s (a) electrochemical system with the rotating disk electrode setup and (b) the dropping mercury electrochemical system. Electrochemical handheld systems used in 2000s. (c) Portable electrochemical analyzers and (d) screen printed carbon electrodes. Reproduced with permission from Ainla et al., Anal. Chem. 90, 10 (2018). Copyright 2018 American Chemical Society. (e) Flexible printed electrodes. Reproduced with permission from Varodi et al., Sensors 20, 12 (2020). Copyright 2020 Author(s), licensed under a Creative Commons Attribution (CC BY) License. Emergence of wearable electrochemical devices and (f) tattoo-based wearable sensor for sweat analysis. Reproduced with permission from Jia et al., Anal. Chem. 85, 14 (2013). Copyright 2013 American Chemical Society. (g) Microfluidic based wearable sensor and (h) flexible wearable smart sensors. Reproduced with permission from Manjakkal et al., Biosensors 9, 1 (2019). Copyright 2019 Author(s), licensed under a Creative Commons Attribution (CC BY) License.
III. CLASSIFICATIONS OF HEALTHCARE WEARABLE SENSORS
Wearable POC healthcare devices took over the domestic healthcare sector by drastically reducing the load of visiting the hospital for diagnosis.54 Different types of wearable devices are textile-based wearable sensor,55 skin-based wearable sensor,56 and flexible wearable systems.57 Sensors are mounted on different sections of body parts like wrist band-type wearables,58 contact lens-based systems, and head band attached wearable sensor. These sensors have capability to monitor important physiological markers that are significant to track many diseases. Wearable healthcare sensor devices are classified into two major categories. They are skin-based wearables and biofluidic-based wearable sensors.59 They are shown in Fig. 2.
FIG. 2.
Classification of healthcare wearable sensors. (a) Smart headband biosensor for electrochemical detection of glucose and sodium ions in sweat. Reproduced with permission from Zhao et al., Biosens. Bioelectron. 188, 113270 (2021). Copyright 2021 Elsevier. (b) Silicon micropillar-based wearable sweat sensor skin patch for continuous monitoring of glucose. Reproduced with permission from Dervisevic et al., ACS Appl. Mater. Interfaces. 14, 1 (2021). Copyright 2021 American Chemical Society. (c) Laser inscribed contact lens sensors for detection of glucose, proteins, pH, and nitrite sensing in tears. Reproduced with permission from Moreddu et al., Sens. Actuators, B 317, 12813 (2020). Copyright 2020 Elsevier.
In human body, skin occupies majority of area, which is an ideal operating area for many non-invasive wearable healthcare devices. Skin-based wearable healthcare devices can efficiently monitor biomarkers in body fluid.60,61 The diagnosis of different health issues can be investigated through vital skin secretion sweat.56,62 Depending upon contact with the skin, wearable sensors are divided into two. They are textile and epidermal-based wearable sensor devices. Textile-based wearable sensor system is directly integrated into textile, and in the case of epidermal based, the sensor device comes in contact with skin similar to the patch, tattoo, etc.63–65 Wearable healthcare sensor devices are directly used for the analysis, but in some cases, they are integrated with microfluidic chambers. These chambers are often constructed to properly channel and transport the biofluid-like sweat or tear to the active are of the analysis.66 Some of the microfluidics that can be integrated into wearables devices are micro-sized needles, paper microfluidic systems, and polymer-based microfluidic channels.67–69
IV. SWEAT CHEMISTRY
The in-depth knowledge about the composition of sweat and information on biomarkers present are important in fabricating a wearable healthcare device.70 Sweat comprises many biomarkers that aid in monitoring the human health and including the fitness. Sweat is a response for thermoregulation of body. In this process, components like metabolites, ions, amino acids, biomolecules, and hormones are injected into sweat.71,72 Table I provides complete information about biomarkers in sweat and its concentration levels in human systems. Sweat has high levels of glucose, lactate, cortisol, uric acid, and many ions like K+, Cl−, Na+, Ca2+, Zn2+, Cd2+, etc.73 Sweat originates from an eccrine sweat gland, which is a kind of exocrine gland that excretes sweat and sends it to the epithelial surface through a dermal duct.74 Na–K pump helps in transportation of Na and Cl ions from blood serum to the secretory coil and vice versa. This activity helps to produce the osmotic pressure gradient that drags the fluids to the eccrine gland. As a result, Na+ and Cl− ions are reabsorbed when sweat is travelling through skin channels.75,76 Na+ secretion rate increases than the reabsorption rate when the sweat rate increases. This ultimately results in higher levels of Na+ ions during intense physical exercises. Detecting electrolytes in sweat helps us to monitor chemical and physical states of humans. In such a way, Na occurs in large concentrations in sweat and monitoring it would provide information on electrolyte loss especially during high endurance workouts.77 The higher concentrations of Na quantity in sweat indicate the lower concentration of plasma sodium, which is referred as hyponatremia and minimal water content. These conditions can cause health hazards to human body like restriction in physical movements. Additionally, the disproportional level of sodium in sweat is significant in cystic fibrosis diagnostics, which is a genetic disorder affecting lungs.78 The sweat-based sensing technology is globally used for monitoring cystic fibrosis.79
TABLE I.
Compilation of sweat composition, concentration, and detection techniques.
Composition of sweat | Concentration in sweat | Potential hazards | Recognition element | Analysis technique | Reference |
---|---|---|---|---|---|
Ascorbic acid | 10–50 μM | Immunity issues | Ascorbate oxidase | Cyclic voltammetry | 80 |
Uric acid | 2–10 mM | Renal dysfunction | Uricase | Cyclic voltammetry | 81 |
Cortisol | 10–140 ng mL−1 | Pressure | Nanomaterial | Amperometry | 82 |
Tyrosine | 5–240 μM | Muscle issues | Nanomaterial | Cyclic voltammetry/Amperometry | 83 |
Lactate | 5–20 mM | Anerobic metabolism | Lactate oxidase | Amperometry | 84 |
Glucose | 10–200 μM | Diabetes | Glucose oxidase | Amperometry | 85 |
K+ | 1–19 mM | Muscle discomfort | Potassium ion selective membrane | Potentiometric analysis | 86 |
Na+ | 10–100 mM | Cystic fibrosis/dehydration | Sodium ion selective membrane | Potentiometric analysis | 87 |
Cl− | 10–100 mM | Cystic fibrosis/dehydration | Ag/AgCl | Potentiometric analysis | 88 |
NH4+ | 0.1–1 mM | Anerobic metabolism | Nonactin ionophore | Potentiometric analysis | 89 |
Ca2+ | 0.41–12.5 mM | Homeostasis | Calcium ion selective membrane | Potentiometric analysis | 90 |
Zn2+ | 100–1560 μg l−1 | Liver damage | Bismuth | Square wave anodic stripping voltammetry | 91 |
Pb2+ | <100 μg l−1 | Toxic effect | Bismuth | Square wave anodic stripping voltammetry | 92 |
Cd2+ | <100 μg l−1 | Toxic effect | Bismuth | Square wave anodic stripping voltammetry | 93 |
pH | 3–8 | Skin disease | Conductive polymers | Potentiometric analysis | 94 |
Hypo-osmotic sodium transfer to membranes of cell and for reabsorption at duct wall requires energy. The main source of energy for efficient functioning of sweat glands is predominantly from oxidative phosphorylation of plasma glucose.95 Therefore, glucose acts like a fuel for secretion of sweat. Normal glucose level in sweat is <200 mM, which is much lower than that in blood serum (6–6.6 mmol l−1).96 Glucose in sweat is in higher levels for people with diabetes, which were in the range of 0.28–1.11 mM. Lactate belongs to the functions of eccrine metabolism when a minimal level of oxygen is available.97 Anaerobic glycolysis takes place primarily when request for energy is needed in a short span of time.98 When human body endures prolonged intense physical exercises, traditional aerobic metabolism is inadequate to fulfil energy demands.99 So, anaerobic metabolism efficiently converts the stored glycogen into lactate and energy. This leads to larger levels of lactate concentration in the blood often referred to as lactate acidosis. Therefore, higher concentration of lactate in sweat is a clear indication of the oxygenation level in tissues.100 Lower oxygen levels are a signal for cramps in muscle or fatigue. It is important to monitor the levels of lactate and a development of non-invasive technique that is vital for endurance athletes.101
Potassium plays a significant role in the functioning of muscles, nerves, and important components in biochemical reactions.102 The surplus loss of potassium through sweat results in potassium deficiency in blood, which is termed as hypokalemia.103 Potassium levels in body are usually regulated with the help of kidneys and excessive potassium is sent out through sweat and urine.104 Hypokalemia causes chronic kidney disorders, nerve-related issues, and also possess a potential risk for paralysis. Higher concentrations of potassium in blood plasma are referred to as hyperkalemia that minimizes urine production, holds risk for cardiac arrest, and nausea. So, periodic monitoring of potassium levels through sweat is an ideal way to diagnose any physiological problems in human body.105,106 Ammonia is a resultant of disintegration of protein. When ammonia levels are irregular in blood plasma, it specifies liver issues and metabolic disorders.107 Liver is a vital organ that converts ammonia into urea and excretes out of body though urine.108 Ammonia present in sweat gets ionized and traps in secretory cell wall. This process elevates the concentration of ammonia in sweat in mM range. Therefore, sweat ammonia can be a potential biomarker for identifying concerns like hepatitis and cirrhosis.109 Some of the important trigger points for sweat production are heat, physical exercises, emotional or physical stress, and chemicals.110 The metabolic activities, fitness levels, and psychological information of human body can be monitored through biomarkers in sweat.111 All dynamic biomarkers generated in sweat depends on the type of sweat trigger. The wealth of information in sweat biomarkers can be studied though a wearable sweat sensor equipped with highly defined microfluidic channels, which regulates the flow of sweat.112
V. INTEGRATING MICROFLUIDICS IN WEARABLE SWEAT SENSORS
Microfluidics are highly significant toward the development of miniaturized components with ability to carry out multiple functions like cell sorting, formation of droplet, trapping of cells, and channelled delivery of analytes.113 Lab on a chip has become a reality in recent years thanks to integration of microfluidics. Some of lab on chip applications are biofluid analysis, drug delivery, disease diagnostics, etc., have successfully incorporated microfluidics for processing.114,115 Wearable sensor technology has gathered interest from multidisciplinary research fields because it has the ability to effectively transmit sensing information wirelessly.4 Approximately, 110 × 106 units of wearable technology has made global consumer market with nearly 20.6 billion USD worth by 2018.116 Although wearable sensor technology has seen a huge market growth yet, sensing ability and performance is limited. The future goal of healthcare wearable technology is to include capabilities like prognosis and diagnosis through body fluids as an analyte.117 Having said this, it is difficult to accomplish mainly due to its complexity in collecting the sensor signals from the human body. Additionally, some of the user expectations for fabrication of healthcare wearable sensor are resistant toward water/dust, portability, conformal attachment to the body, and also flexibility, which is also a great challenge.118 With utilization of microfluidics in wearable technology, some of the challenges can be solved. Figure 3 shows the challenges in attaining wearability, characteristics of skin, and requirements for sensors. Microfluidic-based wearable technologies possess some key functionalities. Microfluidic has become a vital part for sensor as it uses microstructures for storage of analytes. The microfluidic channels allow an accurate amount of desired analyte to be processed, and this improves reliability of the sensor.119 Body fluids like sweat are secreted in limited quantities, so the microfluidics play an important role in storage and transport of sweat for the analysis.26
FIG. 3.
Challenges in attaining wearability, characteristics of skin, and requirements for wearable sensors.
Wearability of the sensor device depends on the choice of material that should be adaptable to biological, physical, and chemical properties of skin. Human body typically is made up of curvilinear and irregular surfaces, and they are difficult to mimic. Also, skin is viscoelastic and deformable in nature. Therefore, wearable sensor should efficiently match the properties of skin and coupled with ability to digitally process the signals.120 Tremendous time has been put by researchers to design and construct a material that adapts well with our skin surface. Materials like polymers, fabrics, and elastomers are often preferred to act like an interfacial substrate to our skin.121 These materials possess properties that are adaptable to our skin and acts as an ideal platform for fabricating wearable sensor devices. Polymer-based materials have important properties like chemical resistance, flexibility, and robustness. Similarly, elastomers are highly stretchable and conformal.122 Due to its absorbing and soft nature, fabrics are used in wearable technology. Combining the substrate material with microfluidic channel is important for accurate biofluid handling and further electrochemical reactions. Furthermore, when electrical components are connected with sensor, it allows a rapid data analysis and transmission. In such a way, there are several reports exhibiting microfluidics-incorporated wearable technology. Wang et al. research group constructed a flexible polydimethylsiloxane (PDMS) microfluidic chamber using the laser engraving process.67 The prepared polymer-based microfluidic chambers are coupled with wearable sensor that is fabricated using conducting poly(3,4-ethylenedioxythiophene) (PEDOT): poly(styrene sulfonate) (PSS) often referred to as PEDOT:PSS. Wearable sensor is developed to mainly monitor the uric acid levels in human sweat [Fig. 4(i)]. Liu and his team fabricated a wearable perspiration sensor mainly focusing the sodium ion monitoring in sweat.123 Biocompatible threads are to collect sweat through the capillary action. Then, polyethylene terephthalate (PET) is used to create microfluidic channels and integrated it to electrodes for investigation. The schematic of the overall device is shown in Fig. 4(ii).
FIG. 4.
(I) (a) Schematic representation of wearable microfluidic sensor device reinforced with PEDOT:PSS hydrogel. (b) Fabrication of PEDOT:PSS hydrogel modified electrodes. Reproduced with permission from Xu et al., Sens. Actuators, B 348, 130674 (2021). Copyright 2021 Elsevier. (II) (a) Image showing various components of wearable microfluidic sweat sensor. (b)–(d) Photo showing the device collecting the sweat from different body positions. Reproduced with permission from Ma et al., Talanta 212, 120786 (2020). Copyright 2021 Elsevier.
A smart watch sensor based on paper substrate as a microfluidic layer to analyze sweat is efficiently developed by Professor Ye research team.124 The main purpose of the smart watch is to monitor the levels of electrolytes (Na+ and K+) in sweat. An overview of the fabricated smart watch is shown in Fig. 5. Whatman filter paper is manipulated to act like a microfluidic channels for the analysis. Corresponding ion selective layers for Na+ and K+ are printed on PET substrates. Through stationary cycling, on-body real-time investigation is performed using a smartwatch sensor. Integration of microfluidics in the wearable sensor system proves to be efficient in managing the storage, transport, and analysis of sweat.
FIG. 5.
Overview of integrated smart watch designed for Na+ and K+ ions in sweat. (I) (a) Structure of paper-based microfluidic sensor and smart watch sensor being investigated on forearm. (b) Detailed description of electrodes and (c) block diagram of smart watch. (II) On body perspiration investigating though fabricated smart watch. Reproduced with permission from Cao et al., Electroanaylsis 33, 3 (2021). Copyright 2021 Wiley.
VI. RECENT ADVANCEMENTS IN ELECTROCHEMICAL WEARABLE SWEAT SENSORS
Electrochemical sensors are analytical devices that efficiently process the information present in the analyte through the sensing material in combination with the transducer.125 Electrochemical transduction needs an ideal modification of the working electrode in order to make it sensitive and selective for the biomarker in sweat.126–128 To effectively detect biomarkers in sweat like glucose, lactose, potassium, sodium, etc., enzyme-reinforced electrodes and ion-sensitive electrodes are widely adopted.129 Current advances in rapidly growing sweat-based wearable devices that predominantly rely on an electrochemical approach provide an excellent path for various biomedical and healthcare applications. Many research groups are actively working on fabricating a high-performance sweat sensor to monitor the physiological state and fitness of human subjects. These wearable sensors have the capability to detect biomarkers in sweat at lower concentrations, providing a continuous assessment. Some of the developed wearable sensors are microfluidic channel-integrated sweat patch,130 flexible skin conformal fabrics,131 stretchable polymer-based sensors,132 sensing tattoo,133 microfluidic paper-based sweat sensor,134 iontophoresis epidermal system,135 etc. Sections VI A and VI B showcases two modes of approaches in fabricating a wearable sweat sensor. Important approaches are the direct skin contact-based wearable sensor and the microfluidic integrated wearable sensor (Fig. 6). In the direct skin contact-based wearable sensor, the sensing array of electrodes are in direct contact with the surface of skin where the electrochemical reaction occurs to monitor the sweat metabolites. On the other hand, in microfluidic-integrated wearable sensors, initially sweat is efficiently collected and manipulated through the microfluidic channels. Then, finally, sweat is delivered to the sensing region of electrodes for investigation.
FIG. 6.
(a) Direct skin contact approach for fabricating wearable sensor and (b) microfluidic layer integrated approach for fabricating wearable sensor.
A. Direct skin contact electrochemical sweat sensors
Professor Joseph Wang's research group is a major contributor in developing the majority of wearable sensors for the sweat analysis.136–138 Their innovation includes plastic-based, textile fabric-based, microfluidic-based, temporary tattoos, and nano-/micro-needles-based devices for ultrasensitive sweat analysis.139–141 They engineered an electrochemical tattoo sensor for non-invasive human perspiration analysis [Fig. 7(a)]. This skin worn sensing platform had capability to detect any dynamic changes in lactose levels in sweat during intense physical activity.142 Apart from electrolytes and ions, it is also important to monitor the levels of metals present in sweat. In such a way, Wang group developed a bismuth@nafion film flexible electrode to monitor the levels of zinc in sweat.143 The device utilized square wave stripping voltammetry to characterize film electrodes for zinc detection [Fig. 7(b)]. In order to monitor the concentration of sodium in sweat, Schazmann and his group established a wearable sensor based on a belt. The belt is fabricated using 3D prototyping with the help of an acrylonitrile butadiene styrene (ABS) polymer that is light and highly porous plastic.144 Then, the belt is equipped with a sodium selective electrode for real-time analysis. Morallon and his team fabricated a glucose sensor based on stretchable serpentine-like Pt–graphite electrodes.145 Polyurethane (PU) is used as a stretchable substrate to draw the electrodes. The glucose is efficiently estimated using these printed electrodes via an electrochemical route for real-time sweat samples [Fig. 7(c)].
FIG. 7.
(a) Electrochemical tattoo-based sweat sensors for lactate monitoring. Reproduced with permission from Jia et al., Anal. Chem. 85, 14 (2013). Copyright 2013 American Chemical Society. (b) Real world sensing of Zinc while workout though a temporary tattoo on a human subject. Reproduced with permission from Kim et al., Electrochem. Commun. 51, 41 (2015). Copyright 2015 Elsevier. (c) Design and fabrication of stretchable and wearable biosensor for glucose monitoring. Reproduced with permission from Abellan-llobregat et al., Biosens. Bioelectron. 91, 885 (2017). Copyright 2015 Elsevier. (d) Textile silk carbon reinforced electrochemical sensor patch for simultaneous monitoring of sweat analytes. Reproduced with permission from He et al., Sci. Adv. 5, 11 (2019). Copyright 2019 Author(s), licensed under a Creative Commons Attribution (CC BY) License.
Although sensing a single targeted biomarker using sweat through wearable devices is appreciable, but moving forward, simultaneous detection of multiple sweat biomarkers is necessary to effectively monitor the overall fitness information of humans. Researchers from Gao group reported a fully integrated wearable biosensor covering a large spectra of biomarkers in sweat.146 The fabricated sensor can detect glucose, lactose, sodium ions, and potassium ions in addition to temperature. Single-walled carbon nanotubes-modified electrodes are used for glucose and lactose sensing, and ion-sensitive electrodes are fabricated for the detection of ions. A fully integrated sensor array is fabricated using photolithography technique, and it is connected to the electronic circuit possessing ability to transmit data wirelessly. Similarly, Yang and Zhang group constructed an integrated textile patch sensor using nitrogen-doped highly porous textile carbon for multiplexed sweat analysis.147 This sensor has the ability to simultaneously detect multiple components of sweat like uric acid, ascorbic acid, glucose, lactate, Na+, and K+. In the flexible PET substrate, a conductive nickel tape is used to make path for electrodes and nitrogen-doped carbon is used as a working electrode for sweat metabolites. The fabricated electrodes are integrated with the circuit for the real-time analysis of sweat [Fig. 7(d)]. Heavy metals like Hg, Zn, Cd, Pb, and Cu can cause adverse effect on humans if they are present in higher concentration. Therefore, monitoring heavy metals through sweat is an efficient non-invasive analytical process. Javey et al. developed a flexible microarrays-based sensor device that can simultaneously detect numerous heavy metals though a square-wave voltammetry technique.148 The multiple array of Au and Bi is used to pattern the working electrodes. The sensor arrays are patterned on the flexible PET substrate. This skin interfaced wearable device serves as an ideal platform for real-time heavy metal detection though sweat.
B. Microfluidic integrated wearable electrochemical sensor
Many technological innovations are made in fabricating a high-performance wearable sweat sensor, but still there is some important challenge to address. Some challenges include manipulation of sweat, miniaturization, dilution of sweat, contamination of sweat, transport of sweat at defined intervals, and evaporation.149 With the help of integrating microfluidics into the sensor system, these issues can be effectively countered. Microfluidic channels can be constructed using materials like polymers, papers, textiles, etc., and some techniques used to construct them are 3D printing, roll-to-roll printing, laser engraving, and photolithography.150
Recently, Martin et al. developed an epidermal microfluidic electrochemical system for superior sapling of sweat and analysis.112 They constructed a flexible PDMS microfluidic channel through photolithography process and they are connected to the electrodes for electrochemical sweat analysis. Simultaneous detection of glucose and lactose is performed successfully on human subjects using a microfluidic-based wearable sensor [Fig. 8(a)]. Ye's research team fabricated a paper-based microfluidic electrochemical sensor device.151 Paper pattering is done using the screen-printing process. The sensor device consists of five layers of sweat-collecting chambers, vertical channels, electrode layers, and sweat evaporating layer. The screen-printed electrodes are connected to the electrode layer and the design of the folded paper helps in the 3D flow of collected sweat via working electrodes. Sweat travels from the collector to the vertical chamber with the assistance of capillary force. This fabricated paper-based microfluidic device periodically analyze the sweat during intense physical workouts [Fig. 8(b)].
FIG. 8.
(a) Schematic representation of multi-layered configuration of microfluidic wearable device and picture of sensor device integrated with a wireless electronic system. Reproduced with permission from Martin et al., ACS Sens. 2, 12 (2017). Copyright 2017 American Chemical Society. (b) 3D paper-based microfluidic electrochemical sensor and real time monitoring of glucose using a fabricated sensor. Reproduced with permission from Cao et al., RSC Adv. 9, 10 (2019). Copyright 2019 Author(s), licensed under a Creative Commons Attribution (CC BY) License. (c) Roll to roll screen printing of wearable sweat sensor patches. Reproduced with permission from Nyein et al., Sci. Adv. 5, 8 (2019). Copyright 2019 Author(s), licensed under a Creative Commons Attribution (CC BY) License.
Most of research works on microfluidic-based wearable sensors mainly utilize complex and expensive microfabrication techniques. As a cheap alternative, Gao's group used the CO2 laser engraving procedure to fabricate most of the important parts of the sensor device. The sensor contains important layers which include the polyimide substrate layer, the microfluidic channel layer patterned on a double sided medical tape, the PET layer, and medical adhesive layers. The fabricated flexible microfluidic electrochemical sensor is probed for detection of uric acid and tyrosine. Uric acid is an important biomarker for the diagnosis of diabetes, and tyrosine is a vital compound needed for brain signaling and also for dopamine and stress hormone secretion. Therefore, it is important to monitor them. Laser-engraved graphene sensing electrodes are coupled with wireless circuits for real-time analysis. Dynamic sweat sampling is made possible mainly due to laser-engraved microfluidic channels. Sensor also has temperature-monitoring capabilities. This microfluidic-based wearable is important for the development of large-scale wearable devices.152 Upon combining laser engraving and roll to toll screen printing fabrication techniques, cost-effective and mass production of microfluidic-based wearable devices can be employed for reliable sweat analysis. In such a way, Javey's research group established an ultrasensitive microfluidic wearable electrochemical sensor [Fig. 8(c)]. The sensor consists of many precisely patterned arrays of electrode for detection of biomarkers in sweat. The microfluidic channel helps in monitoring the sweat rate through a sweat reservoir. The important biomarkers in sweat like glucose, sodium, and potassium ions are simultaneously detected using the sensors. The design and fabrication of high-performance microfluidic sweat sensors help us in closing the gap between the hospital and personalized health monitoring.153
VII. CONCLUSIONS
Hospital-based diagnosis often requires an invasive technique to extract blood for the analysis. But in recent years, non-invasive personalized biomedical analysis has become popular.154 The development of POC and remote diagnostic device has become a real objective. As a result, the emergence of wearable sensor devices has become prominent and an important part of analytical biochemistry. Recent growth in wearable electrochemical sensors helps us to slowly avoid laboratory-based analytical platforms. Thanks to all researchers in last 20 years who made advancements in printed electronics, chemically modified electrodes, flexible substrates, and lab on a chip systems. This is very crucial for successful design and fabrication of wearable electrochemical sensors. Ultimately, all these advancements in electrochemical systems created a way for evolution from the benchtop electrochemical analysis to rapid on skin analysis. Scientists integrated the wearable sensors to wireless systems in order to get data on handheld devices like smartphone. In order to achieve this, the sensor device must be very reliable and simultaneously detect all the biomarkers in sweat.
Current wearable electrochemical sensors mainly focus on important metabolites and electrolytes on sweat or tears, and it is predicted that in future, these devices will have capabilities to monitor the biomarkers like proteins related to disease and hormone. In upcoming years, wearable sensors will be directly mounted or stitched on our attires and successfully integrated with a wireless electronic system. Sensing array of electrodes for devices will be researched in detail to obtain multiplexed signals of biomarkers in sweat. Highly advanced machine learning and artificial intelligence techniques will provide a reliable and continuous monitoring of human health. Wearable sensors are anticipated to be a vital platform for fitness and general health monitoring. Call for the development of such devices is of prime importance in current COVID 19 pandemic. Considering the future energy demands, research focus will be toward the fabrication of self-powered wearable electrochemical sensors. Many researchers are already focusing their research interest in this direction and establishing an ultrasensitive biosensor with energy-harvesting abilities like biofuel cell-powered sweat analyzers. There is no significant wearable sensor device on commercial market with exception of glucose-monitoring devices for on-body analysis. This proves that there is a huge gap to cover and achieve the full potential in monitoring the sweat-related biomarkers. Multidisciplinary approach from many researchers in the field of material science, electronic and electrical engineers, and computer science engineers will enable us to address the gap and minimize challenges. This will ultimately help us to successfully realize the lab on skin concept to efficiently analyze important biomarkers in sweat.
ACKNOWLEDGMENTS
The authors acknowledge the Ministry of Science of Technology (MOST) for support (No. MOST 109-2221-E-002-MY3) and the National Taiwan University (No. NTUCC-111L4000-1) for funding and resources.
AUTHOR DECLARATIONS
Conflict of Interest
The authors have no conflicts to disclose.
Author Contributions
Balaji Ramachandran: Conceptualization (equal); Methodology (equal); Software (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Ying-Chih Liao: Conceptualization (equal); Funding acquisition (equal); Project administration (equal); Resources (equal); Supervision (equal); Writing – review & editing (equal).
DATA AVAILABILITY
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1.Mukhopadhyay S. C., “Wearable sensors for human activity monitoring: A review,” IEEE Sens. J. 15(3), 1321–1330 (2015). 10.1109/JSEN.2014.2370945 [DOI] [Google Scholar]
- 2.Majumder S., Mondal T., and Deen M., “Wearable sensors for remote health monitoring,” Sensors 17(1), 130 (2017). 10.3390/s17010130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zhang H., He R., Niu Y., Han F., Li J., Zhang X., and Xu F., “Graphene-enabled wearable sensors for healthcare monitoring,” Biosens. Bioelectron. 197, 113777 (2022). 10.1016/j.bios.2021.113777 [DOI] [PubMed] [Google Scholar]
- 4.Yao S., Swetha P., and Zhu Y., “Nanomaterial-enabled wearable sensors for healthcare,” Adv. Healthcare Mater. 7(1), 1700889 (2018). 10.1002/adhm.201700889 [DOI] [PubMed] [Google Scholar]
- 5.Jose M., Oudebrouckx G., Bormans S., Veske P., Thoelen R., and Deferme W., “Monitoring body fluids in textiles: Combining impedance and thermal principles in a printed, wearable, and washable sensor,” ACS Sens. 6(3), 896–907 (2021). 10.1021/acssensors.0c02037 [DOI] [PubMed] [Google Scholar]
- 6.Peng B., Zhao F., Ping J., and Ying Y., “Recent advances in nanomaterial-enabled wearable sensors: Material synthesis, sensor design, and personal health monitoring,” Small 16(44), 2002681 (2020). 10.1002/smll.202002681 [DOI] [PubMed] [Google Scholar]
- 7.Tessarolo M., Gualandi I., and Fraboni B., “Recent progress in wearable fully textile chemical sensors,” Adv. Mater. Technol. 3(10), 1700310 (2018). 10.1002/admt.201700310 [DOI] [Google Scholar]
- 8.Li G. and Wen D., “Wearable biochemical sensors for human health monitoring: Sensing materials and manufacturing technologies,” J. Mater. Chem. B 8(16), 3423–3436 (2020). 10.1039/C9TB02474C [DOI] [PubMed] [Google Scholar]
- 9.Criscuolo F., Hanitra I. N., Aiassa S., Taurino I., Oliva N., Carrara S., and De Micheli G., “Wearable multifunctional sweat-sensing system for efficient healthcare monitoring,” Sens. Actuators, B 328, 129017 (2021). 10.1016/j.snb.2020.129017 [DOI] [Google Scholar]
- 10.Bariya M., Nyein H. Y. Y., and Javey A., “Wearable sweat sensors,” Nat. Electron. 1(3), 160–171 (2018). 10.1038/s41928-018-0043-y [DOI] [Google Scholar]
- 11.Yang P., Wei G., Liu A., Huo F., and Zhang Z., “A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors,” npj Flexible Electron. 6(1), 1–13 (2022). 10.1038/s41528-022-00165-9 [DOI] [Google Scholar]
- 12.Steijlen A. S., Jansen K. M., Bastemeijer J., French P. J., and Bossche A., “Low-cost wearable fluidic sweat collection patch for continuous analyte monitoring and offline analysis,” Anal. Chem. 94(18), 6893–6901 (2022). 10.1021/acs.analchem.2c01052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sun T., Hui J., Zhou L., Lin B., Sun H., Bai Y., Zhao J., and Mao H., “A low-cost and simple-fabricated epidermal sweat patch based on “cut-and-paste” manufacture,” Sens. Actuators, B 368, 132184 (2022). 10.1016/j.snb.2022.132184 [DOI] [Google Scholar]
- 14.Mogera U., Guo H., Namkoong M., Rahman M. S., Nguyen T., and Tian L., “Wearable plasmonic paper–based microfluidics for continuous sweat analysis,” Sci. Adv. 8(12), eabn1736 (2022). 10.1126/sciadv.abn1736 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Raymundo-Pereira P. A., Gomes N. O., Machado S. A. S., and O. N. Oliveira, Jr., “Wearable glove-embedded sensors for therapeutic drug monitoring in sweat for personalized medicine,” Chem. Eng. J. 435, 135047 (2022). 10.1016/j.cej.2022.135047 [DOI] [Google Scholar]
- 16.Kanokpaka P., Chang L.-Y., Wang B.-C., Huang T.-H., Shih M.-J., Hung W.-S., Lai J.-Y., Ho K.-C., and Yeh M.-H., “Self-powered molecular imprinted polymers-based triboelectric sensor for noninvasive monitoring lactate levels in human sweat,” Nano Energy 100, 107464 (2022). 10.1016/j.nanoen.2022.107464 [DOI] [Google Scholar]
- 17.Shi H., Cao Y., Zeng Y., Zhou Y., Wen W., Zhang C., Zhao Y., and Chen Z., “Wearable tesla valve-based sweat collection device for sweat colorimetric analysis,” Talanta 240, 123208 (2022). 10.1016/j.talanta.2022.123208 [DOI] [PubMed] [Google Scholar]
- 18.Liu Y., Zhong L., Zhang S., Wang J., and Liu Z., “An ultrasensitive and wearable photoelectrochemical sensor for unbiased and accurate monitoring of sweat glucose,” Sens. Actuators, B 354, 131204 (2022). 10.1016/j.snb.2021.131204 [DOI] [Google Scholar]
- 19.Sharma A., Singh A., Gupta V., and Arya S., “Advancements and future prospects of wearable sensing technology for healthcare applications,” Sens. Diagn. 1(3), 387–404 (2022). 10.1039/D2SD00005A [DOI] [Google Scholar]
- 20.Xu J., Tao X., Liu X., and Yang L., “Wearable eye patch biosensor for noninvasive and simultaneous detection of multiple biomarkers in human tears,” Anal. Chem. 94(24), 8659–8667 (2022). 10.1021/acs.analchem.2c00614 [DOI] [PubMed] [Google Scholar]
- 21.Tiwari N., Chatterjee S., Kaswan K., Chung J.-H., Fan K.-P., and Lin Z.-H., “Recent advancements in sampling, power management strategies and development in applications for non-invasive wearable electrochemical sensors,” J. Electroanal. Chem. 907, 116064 (2022). 10.1016/j.jelechem.2022.116064 [DOI] [Google Scholar]
- 22.Hasan R. and Hasan R., “Pedestrian safety using the internet of things and sensors: Issues, challenges, and open problems,” Future Generation Comput. Syst. 134, 187–203 (2022). 10.1016/j.future.2022.03.036 [DOI] [Google Scholar]
- 23.Khor S. M., Choi J., Won P., and Ko S. H., “Challenges and strategies in developing an enzymatic wearable sweat glucose biosensor as a practical point-of-care monitoring tool for type II diabetes,” Nanomaterials 12(2), 221 (2022). 10.3390/nano12020221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lin P.-H., Sheu S.-C., Chen C.-W., Huang S.-C., and Li B.-R., “Wearable hydrogel patch with noninvasive, electrochemical glucose sensor for natural sweat detection,” Talanta 241, 123187 (2022). 10.1016/j.talanta.2021.123187 [DOI] [PubMed] [Google Scholar]
- 25.He S., Lian H., Cao X., Liu B., and Wei X., “Cascaded enzymatic reaction-mediated multicolor pixelated quantitative system integrated microfluidic wearable analytical device (McPiQ-μWAD) for non-invasive and sensitive glucose diagnostics,” Sens. Actuators, B 369, 132345 (2022). 10.1016/j.snb.2022.132345 [DOI] [Google Scholar]
- 26.Nunes J. and Stone H., Introduction Microfluidics (ACS Publications, 2022), Vol. 122, pp. 6919–6920. [DOI] [PubMed] [Google Scholar]
- 27.Yang Q., Rosati G., Abarintos V., Aroca M. A., Osma J. F., and Merkoçi A., “Wearable and fully printed microfluidic nanosensor for sweat rate, conductivity, and copper detection with healthcare applications,” Biosens. Bioelectron. 202, 114005 (2022). 10.1016/j.bios.2022.114005 [DOI] [PubMed] [Google Scholar]
- 28.Bariya M., Davis N., Gillan L., Jansson E., Kokkonen A., McCaffrey C., Hiltunen J., and Javey A., “Resettable microfluidics for broad-range and prolonged sweat rate sensing,” ACS Sens. 7(4), 1156–1164 (2022). 10.1021/acssensors.2c00177 [DOI] [PubMed] [Google Scholar]
- 29.Wei L., Fang G., Kuang Z., Cheng L., Wu H., Guo D., and Liu A., “3D-printed low-cost fabrication and facile integration of flexible epidermal microfluidics platform,” Sens. Actuators, B 353, 131085 (2022). 10.1016/j.snb.2021.131085 [DOI] [Google Scholar]
- 30.Abbasiasl T., Mirlou F., Istif E., Koydemir H. C., and Beker L., “A wearable paper-integrated microfluidic device for sequential analysis of sweat based on capillary action,” Sens. Diagn. 1, 775–786 (2022). 10.1039/D2SD00032F [DOI] [Google Scholar]
- 31.Kim J., Wu Y., Luan H., Yang D. S., Cho D., Kwak S. S., Liu S., Ryu H., Ghaffari R., and Rogers J. A., “A skin-interfaced, miniaturized microfluidic analysis and delivery system for colorimetric measurements of nutrients in sweat and supply of vitamins through the skin,” Adv. Sci. 9(2), 2103331 (2022). 10.1002/advs.202103331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Qin D., Gibbons A. H., Ito M. M., Parimalam S. S., Jiang H., Enis Karahan H., Ghalei B., Yamaguchi D., Pandian G. N., and Sivaniah E., “Structural colour enhanced microfluidics,” Nat. Commun. 13(1), 1–9 (2022). 10.1038/s41467-022-29956-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kunnel B. P. and Demuru S., “An epidermal wearable microfluidic patch for simultaneous sampling, storage, and analysis of biofluids with counterion monitoring,” Lab Chip 22(9), 1793–1804 (2022). 10.1039/D2LC00183G [DOI] [PubMed] [Google Scholar]
- 34.Ren K., Zhou J., and Wu H., “Materials for microfluidic chip fabrication,” Acc. Chem. Res. 46(11), 2396–2406 (2013). 10.1021/ar300314s [DOI] [PubMed] [Google Scholar]
- 35.Maselli V., Osellame R., Cerullo G., Ramponi R., Laporta P., Magagnin L., and Cavallotti P. L., “Fabrication of long microchannels with circular cross section using astigmatically shaped femtosecond laser pulses and chemical etching,” Appl. Phys. Lett. 88(19), 191107 (2006). 10.1063/1.2203335 [DOI] [Google Scholar]
- 36.Li Y., Wu P., Luo Z., Ren Y., Liao M., Feng L., Li Y., and He L., “Rapid fabrication of microfluidic chips based on the simplest LED lithography,” J. Micromech. Microeng. 25(5), 055020 (2015). 10.1088/0960-1317/25/5/055020 [DOI] [Google Scholar]
- 37.Gowers S. A. N., Curto V. F., Seneci C. A., Wang C., Anastasova S., Vadgama P., Yang G.-Z., and Boutelle M. G., “3D printed microfluidic device with integrated biosensors for online analysis of subcutaneous human microdialysate,” Anal. Chem. 87(15), 7763–7770 (2015). 10.1021/acs.analchem.5b01353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Chu T., Wang H., Qiu Y., Luo H., He B., Wu B., and Gao B., “3D printed smart silk wearable sensors,” Analyst 146(5), 1552–1558 (2021). 10.1039/D0AN02292F [DOI] [PubMed] [Google Scholar]
- 39.Bockris J. O. M. and Reddy A. K., “Some electrochemical systems of technological interest,” in Modern Electrochemistry (Springer, 1970), Vol. 2, pp. 1265–1432. [Google Scholar]
- 40.Wang J., “Modified electrodes for electrochemical sensors,” Electroanalysis 3(4-5), 255–259 (1991). 10.1002/elan.1140030404 [DOI] [Google Scholar]
- 41.Sternberg R., Barrau M.-B., Gangiotti L., Thévenot D. R., Bindra D. S., Wilson G. S., Velho G., Froguel P., and Reach G., “Study and development of multilayer needle-type enzyme-based glucose microsensors,” Biosensors 4(1), 27–40 (1989). 10.1016/0265-928X(89)80032-X [DOI] [PubMed] [Google Scholar]
- 42.Hart A. L., Collier W. A., and Janssen D., “The response of screen-printed enzyme electrodes containing cholinesterases to organo-phosphates in solution and from commercial formulations,” Biosens. Bioelectron. 12(7), 645–654 (1997). 10.1016/S0956-5663(97)00021-3 [DOI] [Google Scholar]
- 43.Zhang Y. and Tadigadapa S., “Calorimetric biosensors with integrated microfluidic channels,” Biosens. Bioelectron. 19(12), 1733–1743 (2004). 10.1016/j.bios.2004.01.009 [DOI] [PubMed] [Google Scholar]
- 44.Bakker E. and Pretsch E., “Potentiometric sensors for trace-level analysis,” Trends Anal. Chem. 24(3), 199–207 (2005). 10.1016/j.trac.2005.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Lee C. S., Kim J. Y., Lee D. E., Joo J., Wagh B. G., Han S., Beag Y. W., and Koh S. K., “Flexible and transparent organic film speaker by using highly conducting PEDOT/PSS as electrode,” Synth. Met. 139(2), 457–461 (2003). 10.1016/S0379-6779(03)00199-1 [DOI] [Google Scholar]
- 46.Wang J., “Portable electrochemical systems,” Trends Anal. Chem. 21(4), 226–232 (2002). 10.1016/S0165-9936(02)00402-8 [DOI] [Google Scholar]
- 47.Wang F. and Hu S., “Electrochemical sensors based on metal and semiconductor nanoparticles,” Microchim. Acta 165(1), 1–22 (2009). 10.1007/s00604-009-0136-4 [DOI] [Google Scholar]
- 48.Lee J. A., Hwang S., Kwak J., Park S. I., Lee S. S., and Lee K.-C., “An electrochemical impedance biosensor with aptamer-modified pyrolyzed carbon electrode for label-free protein detection,” Sens. Actuators, B 129(1), 372–379 (2008). 10.1016/j.snb.2007.08.034 [DOI] [Google Scholar]
- 49.Gao C., Guo Z., Liu J.-H., and Huang X.-J., “The new age of carbon nanotubes: An updated review of functionalized carbon nanotubes in electrochemical sensors,” Nanoscale 4(6), 1948–1963 (2012). 10.1039/c2nr11757f [DOI] [PubMed] [Google Scholar]
- 50.Wu S., He Q., Tan C., Wang Y., and Zhang H., “Graphene-based electrochemical sensors,” Small 9(8), 1160–1172 (2013). 10.1002/smll.201202896 [DOI] [PubMed] [Google Scholar]
- 51.Tierney M. J., Tamada J. A., Potts R. O., Eastman R. C., Pitzer K., Ackerman N. R., and Fermi S. J., “The GlucoWatch® biographer: A frequent, automatic and noninvasive glucose monitor,” Ann. Med. 32, 632–641 (2000). 10.3109/07853890009002034 [DOI] [PubMed] [Google Scholar]
- 52.Luppa P. B., Müller C., Schlichtiger A., and Schlebusch H., “Point-of-care testing (POCT): Current techniques and future perspectives,” Trends Anal. Chem. 30(6), 887–898 (2011). 10.1016/j.trac.2011.01.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Liu J., Geng Z., Fan Z., Liu J., and Chen H., “Point-of-care testing based on smartphone: The current state-of-the-art (2017–2018),” Biosens. Bioelectron. 132, 17–37 (2019). 10.1016/j.bios.2019.01.068 [DOI] [PubMed] [Google Scholar]
- 54.Wang T., Yang H., Qi D., Liu Z., Cai P., Zhang H., and Chen X., “Mechano-based transductive sensing for wearable healthcare,” Small 14(11), 1702933 (2018). 10.1002/smll.201702933 [DOI] [PubMed] [Google Scholar]
- 55.Choudhry N. A., Arnold L., Rasheed A., Khan I. A., and Wang L., “Textronics—A review of textile-based wearable electronics,” Adv. Eng. Mater. 23(12), 2100469 (2021). 10.1002/adem.202100469 [DOI] [Google Scholar]
- 56.Jin H., Abu-Raya Y. S., and Haick H., “Advanced materials for health monitoring with skin-based wearable devices,” Adv. Healthcare Mater. 6(11), 1700024 (2017). 10.1002/adhm.201700024 [DOI] [PubMed] [Google Scholar]
- 57.Takei K., Honda W., Harada S., Arie T., and Akita S., “Toward flexible and wearable human-interactive health-monitoring devices,” Adv. Healthcare Mater. 4(4), 487–500 (2015). 10.1002/adhm.201400546 [DOI] [PubMed] [Google Scholar]
- 58.Lou Z., Wang L., Jiang K., Wei Z., and Shen G., “Reviews of wearable healthcare systems: Materials, devices and system integration,” Mater. Sci. Eng.: R: Rep. 140, 100523 (2020). 10.1016/j.mser.2019.100523 [DOI] [Google Scholar]
- 59.Shin H., Seo H., Chung W. G., Joo B. J., Jang J., and Park J.-U., “Recent progress on wearable point-of-care devices for ocular systems,” Lab Chip 21(7), 1269–1286 (2021). 10.1039/D0LC01317J [DOI] [PubMed] [Google Scholar]
- 60.Zhao C., Li X., Wu Q., and Liu X., “A thread-based wearable sweat nanobiosensor,” Biosens. Bioelectron. 188, 113270 (2021). 10.1016/j.bios.2021.113270 [DOI] [PubMed] [Google Scholar]
- 61.Gao W., Ota H., Kiriya D., Takei K., and Javey A., “Flexible electronics toward wearable sensing,” Acc. Chem. Res. 52(3), 523–533 (2019). 10.1021/acs.accounts.8b00500 [DOI] [PubMed] [Google Scholar]
- 62.Jayathilaka W. A. D. M., Qi K., Qin Y., Chinnappan A., Serrano-García W., Baskar C., Wang H., He J., Cui S., and Thomas S. W., “Significance of nanomaterials in wearables: A review on wearable actuators and sensors,” Adv. Mater. 31(7), 1805921 (2019). 10.1002/adma.201805921 [DOI] [PubMed] [Google Scholar]
- 63.Coyle S., Morris D., Lau K.-T., Diamond D., and Moyna N., “Textile-based wearable sensors for assisting sports performance,” in 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (IEEE, 2009), pp. 307–311. [Google Scholar]
- 64.Morris D., Coyle S., Wu Y., Lau K. T., Wallace G., and Diamond D., “Bio-sensing textile based patch with integrated optical detection system for sweat monitoring,” Sens. Actuators, B 139(1), 231–236 (2009). 10.1016/j.snb.2009.02.032 [DOI] [Google Scholar]
- 65.Hatamie A., Angizi S., Kumar S., Pandey C. M., Simchi A., Willander M., and Malhotra B. D., “Textile based chemical and physical sensors for healthcare monitoring,” J. Electrochem. Soc. 167(3), 037546 (2020). 10.1149/1945-7111/ab6827 [DOI] [Google Scholar]
- 66.Chen G., Zheng J., Liu L., and Xu L., “Application of microfluidics in wearable devices,” Small Methods 3(12), 1900688 (2019). 10.1002/smtd.201900688 [DOI] [Google Scholar]
- 67.Xu Z., Song J., Liu B., Lv S., Gao F., Luo X., and Wang P., “A conducting polymer PEDOT PSS hydrogel based wearable sensor for accurate uric acid detection in human sweat,” Sens. Actuators, B 348, 130674 (2021). 10.1016/j.snb.2021.130674 [DOI] [Google Scholar]
- 68.Fu F., Wang J., Tan Y., and Yu J., “Super-hydrophilic zwitterionic polymer surface modification facilitates liquid transportation of microfluidic sweat sensors,” Macromol. Rapid Commun. 43(5), 2100776 (2022). 10.1002/marc.202100776 [DOI] [PubMed] [Google Scholar]
- 69.Vaquer A., Barón E., and de la Rica R., “Dissolvable polymer valves for sweat chrono-sampling in wearable paper-based analytical devices,” ACS Sens. 7(2), 488–494 (2022). 10.1021/acssensors.1c02244 [DOI] [PubMed] [Google Scholar]
- 70.Oncescu V., O'Dell D., and Erickson D., “Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva,” Lab Chip 13(16), 3232–3238 (2013). 10.1039/c3lc50431j [DOI] [PubMed] [Google Scholar]
- 71.Sekine Y., Kim S. B., Zhang Y., Bandodkar A. J., Xu S., Choi J., Irie M., Ray T. R., Kohli P., and Kozai N., “A fluorometric skin-interfaced microfluidic device and smartphone imaging module for in situ quantitative analysis of sweat chemistry,” Lab Chip 18(15), 2178–2186 (2018). 10.1039/C8LC00530C [DOI] [PubMed] [Google Scholar]
- 72.Ghaffari R., Rogers J. A., and Ray T. R., “Recent progress, challenges, and opportunities for wearable biochemical sensors for sweat analysis,” Sens. Actuators, B 332, 129447 (2021). 10.1016/j.snb.2021.129447 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Liu C., Xu T., Wang D., and Zhang X., “The role of sampling in wearable sweat sensors,” Talanta 212, 120801 (2020). 10.1016/j.talanta.2020.120801 [DOI] [PubMed] [Google Scholar]
- 74.Diao J., Liu J., Wang S., Chang M., Wang X., Guo B., Yu Q., Yan F., Su Y., and Wang Y., “Sweat gland organoids contribute to cutaneous wound healing and sweat gland regeneration,” Cell Death Dis. 10(3), 1–13 (2019). 10.1038/s41419-019-1485-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Mazzaracchio V., Serani A., Fiore L., Moscone D., and Arduini F., “All-solid state ion-selective carbon black-modified printed electrode for sodium detection in sweat,” Electrochim. Acta 394, 139050 (2021). 10.1016/j.electacta.2021.139050 [DOI] [Google Scholar]
- 76.Buono M. J., Ball K. D., and Kolkhorst F. W., “Sodium ion concentration vs.: Sweat rate relationship in humans,” J. Appl. Physiol. 103(3), 990–994 (2007). 10.1152/japplphysiol.00015.2007 [DOI] [PubMed] [Google Scholar]
- 77.Ghoorchian A., Kamalabadi M., Moradi M., Madrakian T., Afkhami A., Bagheri H., Ahmadi M., and Khoshsafar H., “Wearable potentiometric sensor based on Na0.44MnO2 for non-invasive monitoring of sodium ions in sweat,” Anal. Chem. 94(4), 2263–2270 (2022). 10.1021/acs.analchem.1c04960 [DOI] [PubMed] [Google Scholar]
- 78.Donaldson S. H. and Boucher R. C., “Sodium channels and cystic fibrosis,” Chest 132(5), 1631–1636 (2007). 10.1378/chest.07-0288 [DOI] [PubMed] [Google Scholar]
- 79.Cuthbert A. W., “New horizons in the treatment of cystic fibrosis,” Br. J. Pharmacol. 163(1), 173–183 (2011). 10.1111/j.1476-5381.2010.01137.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Sempionatto J. R., Khorshed A. A., Ahmed A., De Loyola e Silva A. N., Barfidokht A., Yin L., Goud K. Y., Mohamed M. A., Bailey E., and May J., “Epidermal enzymatic biosensors for sweat vitamin C: Toward personalized nutrition,” ACS Sens. 5(6), 1804–1813 (2020). 10.1021/acssensors.0c00604 [DOI] [PubMed] [Google Scholar]
- 81.Ataide V. N., Rocha D. P., de Siervo A., Paixão T. R. L. C., Munoz R. A. A., and Angnes L., “Additively manufactured carbon/black-integrated polylactic acid 3D printed sensor for simultaneous quantification of uric acid and zinc in sweat,” Microchim. Acta 188(11), 1–11 (2021). 10.1007/s00604-021-05007-5 [DOI] [PubMed] [Google Scholar]
- 82.Madhu S., Anthuuvan A. J., Ramasamy S., Manickam P., Bhansali S., Nagamony P., and Chinnuswamy V., “ZnO nanorod integrated flexible carbon fibers for sweat cortisol detection,” ACS Appl. Electron. Mater. 2(2), 499–509 (2020). 10.1021/acsaelm.9b00730 [DOI] [Google Scholar]
- 83.Wang Z., Shin J., Park J.-H., Lee H., Kim D.-H., and Liu H., “Engineering materials for electrochemical sweat sensing,” Adv. Funct. Mater. 31(12), 2008130 (2021). 10.1002/adfm.202008130 [DOI] [Google Scholar]
- 84.Lamas-Ardisana P. J., Loaiza O. A., Añorga L., Jubete E., Borghei M., Ruiz V., Ochoteco E., Cabañero G., and Grande H. J., “Disposable amperometric biosensor based on lactate oxidase immobilised on platinum nanoparticle-decorated carbon nanofiber and poly (diallyldimethylammonium chloride) films,” Biosens. Bioelectron. 56, 345–351 (2014). 10.1016/j.bios.2014.01.047 [DOI] [PubMed] [Google Scholar]
- 85.Xu M., Zhu Y., Gao S., Zhang Z., Gu Y., and Liu X., “Reduced graphene oxide-coated silica nanospheres as flexible enzymatic biosensors for detection of glucose in sweat,” ACS Appl. Nano Mater. 4(11), 12442–12452 (2021). 10.1021/acsanm.1c02887 [DOI] [Google Scholar]
- 86.An Q., Gan S., Xu J., Bao Y., Wu T., Kong H., Zhong L., Ma Y., Song Z., and Niu L., “A multichannel electrochemical all-solid-state wearable potentiometric sensor for real-time sweat ion monitoring,” Electrochem. Commun. 107, 106553 (2019). 10.1016/j.elecom.2019.106553 [DOI] [Google Scholar]
- 87.Parrilla M., Ferré J., Guinovart T., and Andrade F. J., “Wearable potentiometric sensors based on commercial carbon fibres for monitoring sodium in sweat,” Electroanalysis 28(6), 1267–1275 (2016). 10.1002/elan.201600070 [DOI] [Google Scholar]
- 88.Ichimura Y., Kuritsubo T., Nagamine K., Nomura A., Shitanda I., and Tokito S., “A fully screen-printed potentiometric chloride ion sensor employing a hydrogel-based touchpad for simple and non-invasive daily electrolyte analysis,” Anal. Bioanal. Chem. 413(7), 1883–1891 (2021). 10.1007/s00216-021-03156-3 [DOI] [PubMed] [Google Scholar]
- 89.Guinovart T., Bandodkar A. J., Windmiller J. R., Andrade F. J., and Wang J., “A potentiometric tattoo sensor for monitoring ammonium in sweat,” Analyst 138(22), 7031–7038 (2013). 10.1039/c3an01672b [DOI] [PubMed] [Google Scholar]
- 90.Parrilla M., Cuartero M., and Crespo G. A., “Wearable potentiometric ion sensors,” Trends Anal. Chem. 110, 303–320 (2019). 10.1016/j.trac.2018.11.024 [DOI] [Google Scholar]
- 91.Ferreira P. C., Ataide V. N., Chagas C. L. S., Angnes L., Coltro W. K. T., Paixão T. R. L. C., and de Araujo W. R., “Wearable electrochemical sensors for forensic and clinical applications,” Trends Anal. Chem. 119, 115622 (2019). 10.1016/j.trac.2019.115622 [DOI] [Google Scholar]
- 92.Silva R. R., Raymundo-Pereira P. A., Campos A. M., Wilson D., Otoni C. G., Barud H. S., Costa C. A. R., Domeneguetti R. R., Balogh D. T., and Ribeiro S. J., “Microbial nanocellulose adherent to human skin used in electrochemical sensors to detect metal ions and biomarkers in sweat,” Talanta 218, 121153 (2020). 10.1016/j.talanta.2020.121153 [DOI] [PubMed] [Google Scholar]
- 93.Li H., Li J., Yang Z., Xu Q., Hou C., Peng J., and Hu X., “Simultaneous determination of ultratrace lead and cadmium by square wave stripping voltammetry with in situ depositing bismuth at Nafion-medical stone doped disposable electrode,” J. Hazard. Mater. 191(1-3), 26–31 (2011). 10.1016/j.jhazmat.2011.04.020 [DOI] [PubMed] [Google Scholar]
- 94.Weber J., Kumar A., Kumar A., and Bhansali S., “Novel lactate and pH biosensor for skin and sweat analysis based on single walled carbon nanotubes,” Sens. Actuators, B 117(1), 308–313 (2006). 10.1016/j.snb.2005.12.025 [DOI] [Google Scholar]
- 95.Lee H., Song C., Hong Y. S., Kim M. S., Cho H. R., Kang T., Shin K., Choi S. H., Hyeon T., and Kim D.-H., “Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module,” Sci. Adv. 3(3), e1601314 (2017). 10.1126/sciadv.1601314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Hong Y. J., Lee H., Kim J., Lee M., Choi H. J., Hyeon T., and Kim D.-H., “Multifunctional wearable system that integrates sweat-based sensing and vital-sign monitoring to estimate pre-/post-exercise glucose levels,” Adv. Funct. Mater. 28(47), 1805754 (2018). 10.1002/adfm.201805754 [DOI] [Google Scholar]
- 97.Åstrand I., “Lactate content in sweat,” Acta Physiol. Scand. 58(4), 359–367 (1963). 10.1111/j.1748-1716.1963.tb02658.x [DOI] [PubMed] [Google Scholar]
- 98.Huckabee W. E., “Relationships of pyruvate and lactate during anaerobic metabolism. I.: Effects of infusion of pyruvate or glucose and of hyperventilation,” J. Clin. Invest. 37(2), 244–254 (1958). 10.1172/JCI103603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Hall M. M., Rajasekaran S., Thomsen T. W., and Peterson A. R., “Lactate: Friend or foe,” PM&R 8(3), S8–S15 (2016). 10.1016/j.pmrj.2015.10.018 [DOI] [PubMed] [Google Scholar]
- 100.Myers J. and Ashley E., “Dangerous curves,” Chest 111(3), 787–795 (1997). 10.1378/chest.111.3.787 [DOI] [PubMed] [Google Scholar]
- 101.Allen S. E. and Holm J. L., “Lactate physiology and clinical utility,” J. Veterinary Emergency Crit. Care 18(2), 123–132 (2008). 10.1111/j.1476-4431.2008.00286.x [DOI] [Google Scholar]
- 102.Liang B., Cao Q., Mao X., Pan W., Tu T., Fang L., and Ye X., “An integrated paper-based microfluidic device for real-time sweat potassium monitoring,” IEEE Sens. J. 21(8), 9642–9648 (2021). 10.1109/JSEN.2020.3009327 [DOI] [Google Scholar]
- 103.Noori M., Nejadghaderi S. A., Sullman M. J. M., Carson-Chahhoud K., Kolahi A.-A., and Safiri S., “Epidemiology, prognosis and management of potassium disorders in COVID-19,” Rev. Med. Virol. 32(1), e2262 (2022). 10.1002/rmv.2262 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Ozer T., Agir I., and Henry C. S., “Low-cost internet of things (IoT)-enabled a wireless wearable device for detecting potassium ions at the point of care,” Sens. Actuators, B 365, 131961 (2022). 10.1016/j.snb.2022.131961 [DOI] [Google Scholar]
- 105.Lin S.-H., Lin Y.-F., Chen D.-T., Chu P., Hsu C.-W., and Halperin M. L., “Laboratory tests to determine the cause of hypokalemia and paralysis,” Arch. Internal Med. 164(14), 1561–1566 (2004). 10.1001/archinte.164.14.1561 [DOI] [PubMed] [Google Scholar]
- 106.Krogager M. L., Søgaard P., Torp-Pedersen C., Bøggild H., Lee C. J.-Y., Bonde A., Thomassen J. Q., Gislason G., Pareek M., and Kragholm K., “Impact of plasma potassium normalization on short-term mortality in patients with hypertension and hypokalemia or low normal potassium,” BMC Cardiovasc. Disord. 20(1), 1–11 (2020). 10.1186/s12872-020-01654-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Czarnowski D., Górski J., Jóźwiuk J., and Boroń-Kaczmarska A., “Plasma ammonia is the principal source of ammonia in sweat,” Eur. J. Appl. Physiol. Occupational Physiol. 65(2), 135–137 (1992). 10.1007/BF00705070 [DOI] [PubMed] [Google Scholar]
- 108.Kim S. B., Koo J., Yoon J., Hourlier-Fargette A., Lee B., Chen S., Jo S., Choi J., Oh Y. S., and Lee G., “Soft, skin-interfaced microfluidic systems with integrated enzymatic assays for measuring the concentration of ammonia and ethanol in sweat,” Lab Chip 20(1), 84–92 (2020). 10.1039/C9LC01045A [DOI] [PubMed] [Google Scholar]
- 109.Kim D., Cho E., Yu K.-S., Jang I.-J., Yoon J.-H., Park T., and Cho J.-Y., “Comprehensive metabolomic search for biomarkers to differentiate early stage hepatocellular carcinoma from cirrhosis,” Cancers 11(10), 1497 (2019). 10.3390/cancers11101497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Murota H., Matsui S., Ono E., Kijima A., Kikuta J., Ishii M., and Katayama I., “Sweat, the driving force behind normal skin: An emerging perspective on functional biology and regulatory mechanisms,” J. Dermatol. Sci. 77(1), 3–10 (2015). 10.1016/j.jdermsci.2014.08.011 [DOI] [PubMed] [Google Scholar]
- 111.Mena-Bravo A. and De Castro M. L., “Sweat: A sample with limited present applications and promising future in metabolomics,” J. Pharm. Biomed. Anal. 90, 139–147 (2014). 10.1016/j.jpba.2013.10.048 [DOI] [PubMed] [Google Scholar]
- 112.Martín A., Kim J., Kurniawan J. F., Sempionatto J. R., Moreto J. R., Tang G., Campbell A. S., Shin A., Lee M. Y., and Liu X., “Epidermal microfluidic electrochemical detection system: Enhanced sweat sampling and metabolite detection,” ACS Sens. 2(12), 1860–1868 (2017). 10.1021/acssensors.7b00729 [DOI] [PubMed] [Google Scholar]
- 113.Whitesides G. M., “The origins and the future of microfluidics,” Nature 442(7101), 368–373 (2006). 10.1038/nature05058 [DOI] [PubMed] [Google Scholar]
- 114.Crowley T. A. and Pizziconi V., “Isolation of plasma from whole blood using planar microfilters for lab-on-a-chip applications,” Lab Chip 5(9), 922–929 (2005). 10.1039/b502930a [DOI] [PubMed] [Google Scholar]
- 115.Vladisavljević G. T., Khalid N., Neves M. A., Kuroiwa T., Nakajima M., Uemura K., Ichikawa S., and Kobayashi I., “Industrial lab-on-a-chip: Design, applications and scale-up for drug discovery and delivery,” Adv. Drug Delivery Rev. 65(11-12), 1626–1663 (2013). 10.1016/j.addr.2013.07.017 [DOI] [PubMed] [Google Scholar]
- 116.Mukhopadhyay S. C., Suryadevara N., and Nag A., “Wearable sensors and systems in the IoT,” Sensors 21, 7880 (2021). 10.3390/s21237880 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Chen S., Qi J., Fan S., Qiao Z., Yeo J. C., and Lim C. T., “Flexible wearable sensors for cardiovascular health monitoring,” Adv. Healthcare Mater. 10(17), 2100116 (2021). 10.1002/adhm.202100116 [DOI] [PubMed] [Google Scholar]
- 118.Heikenfeld J., Jajack A., Rogers J., Gutruf P., Tian L., Pan T., Li R., Khine M., Kim J., and Wang J., “Wearable sensors: Modalities, challenges, and prospects,” Lab Chip 18(2), 217–248 (2018). 10.1039/C7LC00914C [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Yeo J. C. and Lim C. T., “Emergence of microfluidic wearable technologies,” Lab Chip 16(21), 4082–4090 (2016). 10.1039/C6LC00926C [DOI] [PubMed] [Google Scholar]
- 120.Mondal S., Kim S. J., and Choi C.-G., “Honeycomb-like MoS2 nanotube array-based wearable sensors for noninvasive detection of human skin moisture,” ACS Appl. Mater. Interfaces 12(14), 17029–17038 (2020). 10.1021/acsami.9b22915 [DOI] [PubMed] [Google Scholar]
- 121.Sang M., Kang K., Zhang Y., Zhang H., Kim K., Cho M., Shin J., Hong J. H., Kim T., and Lee S. K., “Ultrahigh sensitive Au-doped silicon nanomembrane based wearable sensor arrays for continuous skin temperature monitoring with high precision,” Adv. Mater. 34(4), 2105865 (2022). 10.1002/adma.202105865 [DOI] [PubMed] [Google Scholar]
- 122.Harito C., Utari L., Putra B. R., Yuliarto B., Purwanto S., Zaidi S. Z. J., Bavykin D. V., Marken F., and Walsh F. C., “Review—The development of wearable polymer-based sensors: Perspectives,” J. Electrochem. Soc. 167(3), 037566 (2020). 10.1149/1945-7111/ab697c [DOI] [Google Scholar]
- 123.Ma B., Chi J., Xu C., Ni Y., Zhao C., and Liu H., “Wearable capillary microfluidics for continuous perspiration sensing,” Talanta 212, 120786 (2020). 10.1016/j.talanta.2020.120786 [DOI] [PubMed] [Google Scholar]
- 124.Cao Q., Liang B., Mao X., Wei J., Tu T., Fang L., and Ye X., “A smartwatch integrated with a paper-based microfluidic patch for sweat electrolytes monitoring,” Electroanalysis 33(3), 643–651 (2021). 10.1002/elan.202060025 [DOI] [Google Scholar]
- 125.Bakker E. and Telting-Diaz M., “Electrochemical sensors,” Anal. Chem. 74(12), 2781–2800 (2002). 10.1021/ac0202278 [DOI] [PubMed] [Google Scholar]
- 126.Balaji R., Maheshwaran S., Chen S.-M., Chandrasekar N., Ethiraj S., Samuel M. S., and Renganathan V., “High-performance catalytic strips assembled with BiOBr nano-rose architectures for electrochemical and SERS detection of theophylline,” Chem. Eng. J. 425, 130616 (2021). 10.1016/j.cej.2021.130616 [DOI] [Google Scholar]
- 127.Balaji R., Maheshwaran S., Chen S.-M., Tamilalagan E., Chandrasekar N., Ethiraj S., and Samuel M. S., “Fabricating BiOI nanostructures armed catalytic strips for selective electrochemical and SERS detection of pesticide in polluted water,” Environ. Pollut. 296, 118754 (2022). 10.1016/j.envpol.2021.118754 [DOI] [PubMed] [Google Scholar]
- 128.Balaji R., Renganathan V., Chen S.-M., and Singh V., “Ingenious design and development of recyclable 2D BiOCl nanotiles attached tri-functional robust strips for high performance selective electrochemical sensing, SERS and heterogenous dip catalysis,” Chem. Eng. J. 385, 123974 (2020). 10.1016/j.cej.2019.123974 [DOI] [Google Scholar]
- 129.Zhu H., Li L., Zhou W., Shao Z., and Chen X., “Advances in non-enzymatic glucose sensors based on metal oxides,” J. Mater. Chem. B 4(46), 7333–7349 (2016). 10.1039/C6TB02037B [DOI] [PubMed] [Google Scholar]
- 130.Ardalan S., Hosseinifard M., Vosough M., and Golmohammadi H., “Towards smart personalized perspiration analysis: An IoT-integrated cellulose-based microfluidic wearable patch for smartphone fluorimetric multi-sensing of sweat biomarkers,” Biosens. Bioelectron. 168, 112450 (2020). 10.1016/j.bios.2020.112450 [DOI] [PubMed] [Google Scholar]
- 131.Kedambaimoole V., Kumar N., Shirhatti V., Nuthalapati S., Sen P., Nayak M. M., Rajanna K., and Kumar S., “Laser-induced direct patterning of free-standing Ti3C2–MXene films for skin conformal tattoo sensors,” ACS Sensors 5(7), 2086–2095 (2020). 10.1021/acssensors.0c00647 [DOI] [PubMed] [Google Scholar]
- 132.Qin Y., Mo J., Liu Y., Zhang S., Wang J., Fu Q., Wang S., and Nie S., “Stretchable triboelectric self-powered sweat sensor fabricated from self-healing nanocellulose hydrogels,” Adv. Funct. Mater. 32, 2201846 (2022). 10.1002/adfm.202201846 [DOI] [Google Scholar]
- 133.Bandodkar A. J., Jia W., Yardımcı C., Wang X., Ramirez J., and Wang J., “Tattoo-based noninvasive glucose monitoring: A proof-of-concept study,” Anal. Chem. 87(1), 394–398 (2015). 10.1021/ac504300n [DOI] [PubMed] [Google Scholar]
- 134.Tseng C.-C., Kung C.-T., Chen R.-F., Tsai M.-H., Chao H.-R., Wang Y.-N., and Fu L.-M., “Recent advances in microfluidic paper-based assay devices for diagnosis of human diseases using saliva, tears and sweat samples,” Sens. Actuators, B 342, 130078 (2021). 10.1016/j.snb.2021.130078 [DOI] [Google Scholar]
- 135.Kim J., Jeerapan I., Imani S., Cho T. N., Bandodkar A., Cinti S., Mercier P. P., and Wang J., “Noninvasive alcohol monitoring using a wearable tattoo-based iontophoretic-biosensing system,” ACS Sens. 1(8), 1011–1019 (2016). 10.1021/acssensors.6b00356 [DOI] [Google Scholar]
- 136.Wang J., “Electrochemical glucose biosensors,” Chem. Rev. 108(2), 814–825 (2008). 10.1021/cr068123a [DOI] [PubMed] [Google Scholar]
- 137.Kim J., Campbell A. S., de Ávila B. E.-F., and Wang J., “Wearable biosensors for healthcare monitoring,” Nat. Biotechnol. 37(4), 389–406 (2019). 10.1038/s41587-019-0045-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Bandodkar A. J. and Wang J., “Non-invasive wearable electrochemical sensors: A review,” Trends Biotechnol. 32(7), 363–371 (2014). 10.1016/j.tibtech.2014.04.005 [DOI] [PubMed] [Google Scholar]
- 139.Zhai Q., Yap L. W., Wang R., Gong S., Guo Z., Liu Y., Lyu Q., Wang J., Simon G. P., and Cheng W., “Vertically aligned gold nanowires as stretchable and wearable epidermal ion-selective electrode for noninvasive multiplexed sweat analysis,” Anal. Chem. 92(6), 4647–4655 (2020). 10.1021/acs.analchem.0c00274 [DOI] [PubMed] [Google Scholar]
- 140.Teymourian H., Tehrani F., Mahato K., and Wang J., “Lab under the skin: Microneedle based wearable devices,” Adv. Healthcare Mater. 10(17), 2002255 (2021). 10.1002/adhm.202002255 [DOI] [PubMed] [Google Scholar]
- 141.Bolat G., De la Paz E., Azeredo N. F., Kartolo M., Kim J., de Loyola e Silva A. N., Rueda R., Brown C., Angnes L., and Wang J., “Wearable soft electrochemical microfluidic device integrated with iontophoresis for sweat biosensing,” Anal. Bioanal. Chem. 414, 5411–5421 (2022). 10.1007/s00216-021-03865-9 [DOI] [PubMed] [Google Scholar]
- 142.Jia W., Bandodkar A. J., Valdés-Ramírez G., Windmiller J. R., Yang Z., Ramírez J., Chan G., and Wang J., “Electrochemical tattoo biosensors for real-time noninvasive lactate monitoring in human perspiration,” Anal. Chem. 85(14), 6553–6560 (2013). 10.1021/ac401573r [DOI] [PubMed] [Google Scholar]
- 143.Kim J., de Araujo W. R., Samek I. A., Bandodkar A. J., Jia W., Brunetti B., Paixao T. R. L. C., and Wang J., “Wearable temporary tattoo sensor for real-time trace metal monitoring in human sweat,” Electrochem. Commun. 51, 41–45 (2015). 10.1016/j.elecom.2014.11.024 [DOI] [Google Scholar]
- 144.Schazmann B., Morris D., Slater C., Beirne S., Fay C., Reuveny R., Moyna N., and Diamond D., “A wearable electrochemical sensor for the real-time measurement of sweat sodium concentration,” Anal. Methods 2(4), 342–348 (2010). 10.1039/b9ay00184k [DOI] [Google Scholar]
- 145.Abellán-Llobregat A., Jeerapan I., Bandodkar A., Vidal L., Canals A., Wang J., and Morallon E., “A stretchable and screen-printed electrochemical sensor for glucose determination in human perspiration,” Biosens. Bioelectron. 91, 885–891 (2017). 10.1016/j.bios.2017.01.058 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Gao W., Emaminejad S., Nyein H. Y. Y., Challa S., Chen K., Peck A., Fahad H. M., Ota H., Shiraki H., and Kiriya D., “Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis,” Nature 529(7587), 509–514 (2016). 10.1038/nature16521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.He W., Wang C., Wang H., Jian M., Lu W., Liang X., Zhang X., Yang F., and Zhang Y., “Integrated textile sensor patch for real-time and multiplex sweat analysis,” Sci. Adv. 5(11), eaax0649 (2019). 10.1126/sciadv.aax0649 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Gao W., Nyein H. Y., Shahpar Z., Fahad H. M., Chen K., Emaminejad S., Gao Y., Tai L.-C., Ota H., and Wu E., “Wearable microsensor array for multiplexed heavy metal monitoring of body fluids,” ACS Sens. 1(7), 866–874 (2016). 10.1021/acssensors.6b00287 [DOI] [Google Scholar]
- 149.Nasiri S. and Khosravani M. R., “Progress and challenges in fabrication of wearable sensors for health monitoring,” Sens. Actuators, A 312, 112105 (2020). 10.1016/j.sna.2020.112105 [DOI] [Google Scholar]
- 150.Gale B., Jafek A., Lambert C., Goenner B., Moghimifam H., Nze U., and Kamarapu S., “A review of current methods in microfluidic device fabrication and future commercialization prospects,” Inventions 3(3), 60 (2018). 10.3390/inventions3030060 [DOI] [Google Scholar]
- 151.Cao Q., Liang B., Tu T., Wei J., Fang L., and Ye X., “Three-dimensional paper-based microfluidic electrochemical integrated devices (3D-PMED) for wearable electrochemical glucose detection,” RSC Adv. 9(10), 5674–5681 (2019). 10.1039/C8RA09157A [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Yang Y., Song Y., Bo X., Min J., Pak O. S., Zhu L., Wang M., Tu J., Kogan A., and Zhang H., “A laser-engraved wearable sensor for sensitive detection of uric acid and tyrosine in sweat,” Nat. Biotechnol. 38(2), 217–224 (2020). 10.1038/s41587-019-0321-x [DOI] [PubMed] [Google Scholar]
- 153.Nyein H. Y. Y., Bariya M., Kivimäki L., Uusitalo S., Liaw T. S., Jansson E., Ahn C. H., Hangasky J. A., Zhao J., and Lin Y., “Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat,” Sci. Adv. 5(8), eaaw9906 (2019). 10.1126/sciadv.aaw9906 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Vilela D., Romeo A., and Sánchez S., “Flexible sensors for biomedical technology,” Lab Chip 16(3), 402–408 (2016). 10.1039/C5LC90136G [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.