Abstract
Smart electronic devices based on micro-controllers, also referred to as fashion electronics, have raised wearable technology. These devices may process physiological information to facilitate the wearer's immediate biofeedback in close contact with the body surface. Standard market wearable devices detect observable features as gestures or skin conductivity. In contrast, the technology based on electrochemical biosensors requires a biomarker in close contact with both a biorecognition element and an electrode surface, where electron transfer phenomena occur. The noninvasiveness is pivotal for wearable technology; thus, one of the most common target tissues for real-time monitoring is the skin. Noninvasive biosensors formats may not be available for all analytes, such as several proteins and hormones, especially when devices are installed cutaneously to measure in the sweat. Processes like cutaneous transcytosis, the paracellular cell–cell unions, or even reuptake highly regulate the solutes content of the sweat. This review discusses recent advances on wearable devices based on electrochemical biosensors for biomarkers with a complex blood-to-sweat partition like proteins and some hormones, considering the commented release regulation mechanisms to the sweat. It highlights the challenges of wearable epidermal biosensors (WEBs) design and the possible solutions. Finally, it charts the path of future developments in the WEBs arena in converging/emerging digital technologies.
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Introduction
Smart electronic devices, based on micro-controllers, allowed the raising of wearable technology, also referred to as fashionable, mounting, or patchable electronics. In close contact with any surface of the body, these devices may process physiological information facilitating the immediate biofeedback to the wearer. The stated technology became possible in the mid-'90 s when works like the Canadian inventor Steve Mann described his wearable multimedia computer/personal visual assistant [1]. By that time, he dreamed of the moment when “wearable computer systems will be owned, operated, and controlled by the wearer -much like one's own clothes,” but just until the early 2000s, mini-wearable cameras were introduced to the market, and at 2010 the first step-counter was launched [2], which has been proposed even in the clinical context as a pedometer replacement device [3].
Standard market wearable devices detect observable or electrophysical signs, e.g., gesture, voice, strain, temperature, heart rate, or skin conductivity [4,5,6].
Contrastingly, the technology that relies on electrochemical biosensors detects soluble analytes associated with a specific disease or condition, also called biomarkers. The most critical feature to collect biometric data is the noninvasive formats for real-time physiological monitoring through wearable technology. For the noninvasiveness, it is required direct sampling of any biofluid to contact the biomarker with the biosensing device. Then, sweat is the most plausible fluid for this purpose. Sampling the skin is less risky and more comfortable for implantation than blood vessels, organs, eyes, mouth, or urinary tract.
While it is easy to be held and put the wearable biosensor in near contact with the skin, simple designs may ensure rapid sweat transport to the detection zone. At the same time, a continuous response may be recorded without important harmful consequences in most people [7]. Immediately processing it is also advantageous because it avoids the sample loss and false analytes levels alterations through evaporation or the degradation by self-local mechanisms, such as proteases or commensal microbiota.
Semiconductor microfabrication, soft electronics, and robotic sensors for pressure and thermal distribution are the three pillars for the “smart-skin” development, also known as “electronic” or “synthetic” skin [6, 8]. An explosion of reports has tried to improve smart-skin technology with wearable epidermal biosensors (WEBs) in recent years. Most WEBs use sweat to detect ions, e.g., Cl−, Na+, K+ or metabolites, e.g., glucose, lactate, uric acid. Since the blood-to-sweat partition complexity of proteins and some hormones, the basal levels remain undetermined and WEBs are lesser used to monitoring those potential biomarkers.
Electrochemical WEBs are challenged by the necessity to measure the electric changes of the system continuously and in a real-time manner, according to the analyte's levels. These measuring platforms combine the high selectivity and specificity of bioreceptors with surface electrochemistry. The biorecognition event is further detected by platforms relying on transistors or electrochemical cells and transduced to estimate the analyte's level [12].
In the past two decades, the advance in nanomaterials development and basic research on sweat biology has enabled a slight but firm spreading of the mentioned device's usage to monitor some proteins and hormones as potential biomarkers [13]. For instance, different nanomaterials have been incorporated into the devices depending on the shape and material distribution in different dimensions, including zero-dimensional (0D) (e.g., quantum dots), 1D (e.g., nanowires), 2D (e.g., graphene) and 3D (e.g., nanospheres) [14]. Significantly, the reduced surface-to-bulk ratio of classical devices based on semiconductors as Si and oxides like Ta2O5 or Al2O3, were challenged by the nano-sized version of the same materials or others like graphene [15]. For example, nanowires (MNWs) are 1D anisotropic filled cylindrical structures that can be made with metallic or semiconducting materials maintaining a large surface area-to-volume ratio, which in turn means a lower detection potential (high electrocatalytic efficiency) and high sensitivity, e.g., high currents [14]. Likewise, van der Waals (vdW) materials, such as graphene and indium selenide, are made of covalent 2D layers, stabilized in their third dimension through weaker vdW forces (i.e., dipole–dipole, dipole-induced dipole and London or dispersion forces). vdW materials have shown features that may also overcome the quoted sensitivity issue [16,17,18]. Graphene is a vdW nanomaterial that may be customized according to thickness, bandgap, and electronic confinement requirements, permitting its use as a transducer. The sp2 hybridization of graphene lattices allows it to be chemically inert and confers a behavior like an intrinsic semiconductor or even as a semimetal [19]. It allows easy charge mobility, but the graphene conductivity is significatively sensitive to the electrostatic changes in the surrounding microenvironment [20]. As proof, the carrier mobility capacity of graphene sheets measured in electrolyte-gated Hall bar, with contacts made of Cr/Au and capped in SiO2, showed almost equal mobility values compared with benchmark SiO2-supported graphene devices (i.e., ~ 7000 cm2/Vs), suggesting a robust electrical capacity of graphene, even in an aqueous electrolyte environment [21].
Recent reviews give a comprehensive introduction to the techniques used to design and fabricate flexible biosensors for sweat-based health or exercise monitoring [22], including the devices based on electrochemical cells and transistors [23]. Here, we discuss and compare the essential functioning and analytical elements of electrochemical WEBs in the quoted formats. Seminal works that did allow the apparition of the “smart-skin” from 2011 are also commented. We analyzed them from a molecular point of view that explains the complexity of blood-to-sweat partition like proteins and some hormones. In this context, we describe the main sweat formation mechanisms that compartmentalize the quoted molecules compared to both the blood or interstitial fluid (ISF) and the ideal conditions for sampling it onto WEBs. The importance of basic research in fields as metabolomics and proteomics to identify new and more specific protein biomarkers is stressed. In comparison with a pathological release, intelligent devices that may learn and discriminate the basal release of protein analytes associated with the mere presence of biosensors onto the skin are discussed. Finally, we comment on the plausibility of noninvasive WEBs for large specific protein and how the internet-of-things (IoT), artificial intelligence (AI), and deep learning (DL) intricate to fabricate them according to the REASSURED criteria, i.e., real-time, ease sample collection, affordable, sensitive, specific, user-friendly, rapid, equipment-free and delivered devices.
Sweat gland physiology and WEB's sweat sampling
Skin belongs to the barrier's mechanisms from the innate immunosystem. The cell–cell interactions between keratinocytes avoid the entrance of potential pathogens and the loss of liquid and other components. Altogether, sebaceous glands, hair follicles, and sweat glands are considered skin appendages because they are tissues formed from the down growth of epidermal epithelium during development. The different ontology from the epidermis [24] explains the absence of appendages like sweat glands in tissue-engineered skin [25]. There are two types of sweat glands, eccrine and apocrine, but some studies suggest a third type called apoeccrine [26,27,28]. The eccrine gland empties the synthetized sweat directly onto the epidermis, while the apoeccrine usually finishes into the hair follicle and produces a mix that contains carbohydrates, lipids, and proteins [27, 28]. Apocrine sweat glands have a restricted distribution, e.g., anus, external genitalia, nipple of the mammary gland, areola, and axilla. Except for the lips and part of the external genitalia, eccrine is independent, being spread by the whole body (i.e., ~ 3 million, > 100 glands/cm2, ~ 250–550 glands/cm2 palms and soles) [28]. The secretory portion of the gland delivers the sweat either directly into the gland's lumen or using the intercellular canaliculi that open to the lumen. Duct segment resorpts part of Na+ and water, resulting in a hypotonic solution with traces of several types of proteins, amino acids, and other components (Fig. 1a) [29, 30]. While the end tubular segments of the gland are in contact with the outermost layer of the skin, the high amino acid content observed on the sweat has been associated with contamination from degraded epidermal detritus [31]. Finally, the liquid reaches the sweat pore (20–60 μm) through the acrosyringium, the intra-epidermal part of the gland (Fig. 1a). The hydrostatic pressure generated in the gland had been estimated to be 69 kN/m2 with a sweat rate of 1–20 nL/min/gland and a maximum volume of 8 nL/gland [7, 32]. Molecularly, the sweat formation is initiated by STIM/Orai, two controllers of the intracellular Ca2+ levels (Fig. 1a, left) [28, 33]. An analysis of the transcriptome and the proteome from the human eccrine sweat glands did stress the critical role of ionic channels and transporters in the secretory mechanisms [34]. The study also advocates that the nonselective calcium channel called transient receptor potential vanilloid-type 4 (TRPV4) is present in the sweat eccrine gland, suggesting an essential role in wound healing because of its natural contribution to cell–cell junction development [34]. Proteins' size suggests that the associated transport mechanism is neither diffusion nor advection. In contrast, sweat's proteins are secreted by active cellular processes. For instance, basolateral-to-apical transcytosis may transport the protein from the blood to the liquid between tissue cells, known as interstitial fluid (ISF) [7]. Exocytosis, also termed merocrine secretion, may occur at eccrine sweat glands [26]. The exocytic mechanism mobilizes the cytoplasmic vesicles to sites on the plasma membrane, where the vesicular content is released to the extracellular space. On the other hand, the apical part of cells, at the apocrine sweat glands, are pinched off, leading to the release of the cytoplasm and cell membrane joined to the secretory materials (e.g., glycoproteins) [35]. Thus, the protein's partition rate into the sweat will be slower than ions. Note that just a continuous monitoring platform that tests permanently and in “real-time” the local release of sweat will be enough for biosensing through WEBs, because it will avoid the background introduced by contaminants from the epidermis, production, degradation, or concentration after sweat evaporation [7, 26]. Once the WEBs reach a permanent regeneration for continuous and real-time monitoring, these devices could contribute to basic research about the biology of the release mechanisms during sweating.
Eccrine sweat glands respond to heat and stress being stimulated by acetylcholine from the parasympathetic portion of the autonomic system, i.e., cholinergic or muscarinic. Apocrine glands respond to the sensory stimuli but not to heat and are stimulated sympathetically by catecholamines or adrenergic transmitters, i.e., adrenaline and noradrenaline. Briefly, sweating is happening in two ways, thermoregulatory or emotionally. Cholinergic pathways control the sweat-based thermoregulation, starting at forehead, scalp, and face, spreading to the rest of the body, and ending at palms and soles. In contrast, adrenergic regulation is started during emotional stress, and the sweating begins in the palms, soles, and axillae (Fig. 1a). The mean sweat rate per gland remains relatively unchanged with increases in exercise intensity. Distinctly, the whole-body sweat rate increases because the number of recruited active sweat glands grows with exercise [32]. Each gland may reach ~ 20 nL/min during intensive exercise or hard work, which could differ according to the body part [32]. During sweating testing, the quantity of produced sweat and the evaporation is a critical variable that affects the concentration. Analytes like lactate undergo increased production and excretion rate at highly intensive exercise, but its concentration in the total produced sweat decreases, probably because of a dilutional effect [36]. The phenotype also shows intra/interindividual variability, explaining the recommendation for a personalized fluid replacement strategy to achieve high performance in athletes [37]. Likewise, the sweat composition varies according to the diet and acclimation status. A study in humans suggests that a high salt diet (i.e., 6 g of salt per day added to their regular diet during 5 days) did increase the sweat sodium concentration from 39.9 ± 22.5 to 49.7 ± 19.9 mmol/l, compared to low salt diet participants (i.e., 5 days of their regular diet) [38]. Equated to the increase in the urinary sodium excretion (i.e., from 43.2 ± 30.2 mmol to 230.7 ± 89.1 mmol, respectively), sweat sodium levels under two diet regimes undergoes a modest increase [38]. Thus, a possible regulatory role of sweat production in maintaining sodium homeostasis in humans could be proposed [38]. Similarly, the measurement of sodium in sweat from manual outdoor workers has shown higher levels in winter (i.e., 63.8 mmol/L) than in summer (i.e., 44.7 mmol/L) because of the acclimatization process [39]. The heat acclimatization in healthy male volunteers trained by ten days showed a decrease in sweat sodium ion concentration, suggesting increases in sodium reabsorption capacity [40].
As we had been discussed, it is worth noticing that sweat is obtained from ISF that surrounds the eccrine gland, but most of its components are partitioned compared with the blood and even with ISF (Fig. 1a). Additionally, there is neither a consensus about the “normal” levels of sweat proteins nor about their complete identities. Instead, most of the studies compare the protein levels recorded in apparently healthy individuals. The predictions made by gene ontology have grouped the sweat proteins into two main categories in healthy individuals, catalytic (~ 40%) and binding (~ 40%) [29, 41,42,43]. Dermcidin tends to be the most abundant sweat protein, which, together with apolipoprotein D, clusterin, prolactin-inducible protein, and serum albumin, make up 91% of secreted sweat proteins in healthy individuals [41]. When sweat from eccrine glands is measured, it is difficult to separate the locally produced proteins, those produced in different moments or situations (e.g., emotional vs. heat stress), and avoid sweat mixing from other surfaces or even from apocrine glands. For example, a proteome analysis had been reported just 121 common proteins between eccrine gland tissue and the sweat, but 28 proteins that are present in the sweat were not present in the eccrine gland tissue, implying the blood, ISF, or even de novo local synthesis, as possible sources [34]. Researches also suggested that the lumen gland transport at apocrine glands of some odor volatile molecules like E-3-methyl-2-hexenoic acid are carried out by unique apocrine proteins like apocrine secretion odor-binding proteins (ASOB) [26, 44]. After exercise, the sweat from either apocrine or eccrine glands has a different composition [45, 46]. Besides, the protein content of sweat after strenuous exercise is different according to gender. A study reported 562 common proteins, while 198 were male and 101 were unique proteins in female pools [47]. Sweat after exercise is rich in hydrolases (53%), but also the singly charged peptides are abundant, suggesting that the high levels of proteolytic enzymes could degrade the other proteins, partially explaining the commented differences [29]. Importantly, whether the commented above report is associated with proteolysis due to the sample handling or innate immune peptides needs to be further defined [29]. Since proteases inhibitors as cystatins and Lymphoepithelial Kazal-type-related inhibitor (LEKTI) were also abundant in sweat after exercise, distinct peptide patterns can occur, depending on the activity balance among them and/or their inhibitors [47]. Individuals diagnosed with schizophrenia showed that 17 proteins at least were increased twofold or greater than healthy individuals [42].
Interestingly, dermcidin showed no differential abundance between sweat from patients with schizophrenia and control ones. Meanwhile, prolactin-binding protein showed a higher abundance in the control individuals. The sweat proteomics from active tuberculosis (aTB) patients had been identified enrichment of proteins with immune (e.g., complement and antibody components), transport (e.g., lipopolysaccharide-binding protein), and enzyme regulation (e.g., trypsin inhibitor) functions [48]. Differential secretion of ribosome components in sweat from aTB patients was also reported, compared with healthy ones [48]. Exosomes are bilayer membrane structures produced at the endosomal cell and released at extracellular space. A proteomic study reported 997 different proteins into exosomes compared with sweat proteomics and 896 unique proteins that were not found in urine, saliva, and plasma exosomes [43]. Sweat´s exosomes are rich in immune proteins like defensins, cathelicidins, immunoglobulins, and cytokines, suggesting a central role of exosomes in skin immunity. Additionally, while the sweat for exosomes harvesting probably belongs to eccrine, apocrine, and apocrine mixed secretion, the absence of contaminant from the holocrine secretion of the sebaceous gland, corneocyte, or bacteria was guaranteed [43].
The proteomic studies covered so far also identify that proteins in sweat are not present in the serum, suggesting that the sweat is not a merely plasma transudate and may contain potential biomarkers that are not present in the blood [42]. While more studies are necessary to determine the standard or basal levels of proteins in the sweat according to the activity level and the type of sweat gland that produces it, all the commented researches suggest that the ideal sweat sample should come from a unique type of sweat gland. The significant quantity of secreted sweat comes from eccrine glands [35], probably the best candidates to be tested.
Since the skin's complexity and dielectric behavior, some researchers suggest it behaves like a barrier instead of a source to collect information deep in the organism [49]. The last is especially true for electrophysiological monitoring, being necessary to consider equivalent circuits (Fig. 1b, c) [9,10,11]. The redox reactions in the interphase of WEB and the sweat mediate the electrical transport for the readout. During WEB recording, an electrical-double layer (EDL) is formed at each implied surface, leading to a capacitive component at either the insulator or epidermis. Similarly, the skin's components like sebum, epidermal cell–cell unions, and underlying fat explain its high opposition to the current flow, which may be fitted in an equivalent circuitry through a resistor element (Fig. 1b, c) [9,10,11]. Dry surface WEB does not use conductive gel to be applied. High skin humidity/hydration level reduces the overall skin impedance. So, the built-up perspiration at the skin under WEB will increase the conductivity and the dielectric constant, leading to an overall skin impedance reduction [10]. Thus, the epidermal impedance may be represented by a parallel-connected capacitor (Ce) and resistor (Re), as shown in Fig. 1b [10, 11]. The transdermal electrode has microneedles embedded into the conductive layers of the epidermis. So, transdermal WEB is well characterized by a half-cell potential (EHC), a capacitor in parallel with a resistor, and an end in series resistance that represents the underlying fat tissues (Fig. 1c) [9,10,11].
In contrast with the concept of the skin as an electrophysiological monitoring barrier, the potential biochemical biomarkers present in the sweat may be a helpful sample. There is evidence that the protein biomarkers levels variates in the sweat, according to situations or age, in a similar manner as occurs in the blood, keeping apart the cited differences between eccrine and apocrine sweat content. Noninvasive patches and other harvesting systems have been used to obtain sweat and demonstrate this correlation. For instance, levels of cytokines showed a good correlation in a healthy woman, i.e., IL1α, IL-1β, IL-6, TNF-α, IL-8, TGF-β [50] and older adults, i.e., IL-6, IL-10, TNF-α [51], as similarly as cortisol from sweat behaves during exercise [52], heating [53], stress or nutritional challenges [54]. The last is also true when the quoted above analytes are sensed electrochemically in a continuous real-time manner by a wearable device during infections like COVID-19, i.e., IL-6, IL-8, IL-10, TNF-α [55] or during circadian rhythm, i.e., cortisol; dehydroepiandrosterone (DHEA), and neuropeptide Y (NPY) [56, 57]. Again, the protein content analysis into sweat must be assessed carefully because the synthesis of analytes such as cytokines may be local. Some reports suggest that the eccrine gland releasing IL-1 and IL-31 serves as an early danger sign, stimulating the keratinocytes, which adopt a proinflammatory behavior [58]. Then, the above may induce a cytokine increase in the sweat that is not occurring in blood. As a general principle, some researchers had concluded that the biomarker partitioning between sweat and blood might be specific according to each biomarker synthesis pattern and transport, i.e., passive, active, or self-generating. Cortisol is an analyte that may be partitioned into the sweat like other small proteins because it exists in two forms into the blood, free and bound to carrier proteins, e.g., corticosteroid-binding globulin [59]. Assuming the last, we discuss several works about cortisol monitoring into the sweat. Nevertheless, it has been hypothesized that a high sweating rate leads to decreased protein sweat content because the large proteins reduce the diffusivity and the membrane permeability [7]. For a comprehensive review of sweat biology, harvesting, and measurement techniques, the reader may refer to recently published works [28, 30, 46]. Additionally, we had recently reviewed the challenges associated with cytokine measurements and the advantages of screen-printed electrodes to measure them [60]. Screen printing is also preferred for fabricating wearable epidermal sensors because this technique allows printing on both rigid and flexible substrates made from cost-affordable and disposable materials.
It is also possible to conclude that sweat composition changes according to the situation [61] and that the best sweat sample comes from the body at rest conditions. Since sedentary sweating ranges from 1 to 5 nL/min per gland [7, 32], a common strategy for sweat sampling is cutaneous pilocarpine nitrate to accelerate sweat production. Although sweat glands release an electrolyte, the holocrine secretion from sebaceous ones lubricates the hair and skin surface with an oily substance that neutralizes the conductive properties conferred by the sweat. Sebum confers a highly electric resistance to the skin (Fig. 1b, c) [9,10,11]. An iontophoresis process applies a small electrical current cutaneously to surpass the above. The induced electro-repulsion of the positively charged pilocarpine forces its pass from an anode to the sweat glands of the patient [62]. Pilocarpine is a direct-acting parasympathomimetic agent that exerts its action over eccrine sweat glands through muscarinic acetylcholine receptors, inducing sweat production [63]. A study carried out in 2017 demonstrated the reliability of pilocarpine iontophoresis to establish the levels of analytes at blood and its correlation with sweat, compared with the obtained after exercise [64]. The impressive success of the noninvasive biosensing GlucoWatch (Cygnus) system is because it relies on reverse iontophoresis. Since the cells membrane is negatively charged, the commented device cycles a ∼0.5 mA cm−2 DC between two gel swabs on the skin [65]. Abundant Na+ ions into the ISF (~ 140 mM) are moved electrophoretically to the cathode, while anions are electrorepulsed, e.g., Cl−, ascorbate, urate [65]. Cations present at sweat ducts and hair follicles pass through the paracellular spaces among cells, while neutral molecules like glucose and others get out to the skin surface at a rate proportional to the applied potential, e.g., 15–150 nL of ISF at 0.3 mA by 3 min [65]. Two remarkable works made in Prof. Wang's Lab are examples of wearable ionophoresis-sampler biosensors (Fig. 2). Based on his seminal work called panda-like “glucohol” (glucose plus alcohol) tattoo (Fig. 2a–d) [66], a device was recently published for simultaneous monitoring of blood pressure and heart rate with ultrasonic transducers (Fig. 2e–h) [67]. At the same time, electrochemical sensors were coupled to measure glucose, lactate, caffeine, and alcohol (Fig. 2e).
Sonophoresis is another method that uses 20 kHz ultrasound to open micropores and increase the permittivity of the skin, followed by the ISF extraction and its further electrochemical monitoring [68]. Several methods have been recently reviewed for sweat sampling onto wearable biosensors [69].
Here, it is crucial to be aware of the irritation possibility of iontophoretic devices after repeated procedures. GlucoWatch system selling must be stopped in 2007 because it induced skin irritation when used continuously [70]. So, as mentioned above, small proteins like cytokines increase, showing a local effect instead of a systemic one. Additionally, more studies are needed to verify if the iontophoresis process may induce a differential protein blood-to-sweat partition given the promoted electrophoretic movement as a function of the charge and size of the studied protein. Biosensors from Prof. Wang's lab and others have shown sweat sampling autonomously using significantly lesser current and exposition times for iontophoresis that may be 1 mA [71], or even 0.2 and 0.6 mA for 5 min [72, 73]. Here, short periodic sweat sampling may also diminish the harmful risk, then hydrogels with 10% (wt/vol) acetylcholine had been presented a high sweat-rate response (e.g., 354 nL/min/cm2) for short-lived effect [71]. Then, the commented above WEB devices are safer than GlucoWatch-like devices [74]. In addition, evidence from metabolomics analysis suggests the iontophoresis usability as a harvesting procedure [31].
There are other aspects to be mindful of. Since WEBs expect to interface with the skin, their biocompatibility is pivotal to avoid hypersensibility reactions or contamination from epidermal components. For example, devices that function as continuous films block the regular exchange of sweat by evaporation, leading to trapping it under for several days. In the end, the uppermost epidermal layer, i.e., cornified, which has sponge properties, will soak and hold the water and solutes, leading to overhydration and maceration of epidermis that may release the excess of analytes to the sweat or even alter the barrier function of the skin [8]. Some efforts to improve the gas permeability and the normal sweat evaporation after sensing had been made. For example, a report used electrospinning polyvinyl alcohol (PVA) to fabricate 300–500 nm fibers that further intertwined in a mesh-like sheet, followed by deposition of a 70–100 nm-thick Au layer on top. After the electrodes were directly laminated on the skin, sprayed water dissolved the PVA, and the nanomesh conductor was attached. Properties of either electrode, e.g., conductivity or skin, e.g., no local inflammation, were stable by a week [75].
Wearable epidermal biosensors (WEBs) design and mode of function for sweat's analysis
According to the transduction mechanism, biosensors that may be integrated onto the epidermis could be mechanical (e.g., temperature, acceleration), electrical (e.g., electroencephalogram), optical (e.g., skin reflected light), or chemical (e.g., protein biomarkers) [49, 78]. Specifically, chemical WEBs for medical purposes usually include dry electrodes that do not require gel before implantation but must be made in a soft-electronic format to avoid the noise from motion, i.e., highly bendable, stretchable, and twistable.
It is possible to identify two basic elements for any WEB architecture, the delivery system for sampling and the analysis region, considering its modus operandi. According to the device electrochemical measurement, the analysis region requires at least two electrodes and a contacting sample solution. However, high-performance sensors often add a third reference electrode that helps stabilize the sensor system over time (avoid sensor drift) and therefore help limit the changes in the transduced signal to be only from the specific analyte. A similar tripartite arrangement for WEBs' electrodes is applied in either transistor (e.g., field-effect transistors, FETs) or electrochemical cells (e.g., screen-printed electrodes, SPEs) (Fig. 3a, g): i) point for control of the electrochemical energy (i.e., G in FETs or RE in SPEs), ii) point for energy inlet (i.e., S in FETs or WE in SPEs) and iii) point for energy outlet (i.e., D in FETs or CE in SPEs) [79,80,81]. Of course, the three quoted categories are relative to the measurement format and associated carriers' charge movement, in such a way that most of them for sweat monitoring have a coplanar disposition concerning the control/inlet/outlet electrodes. The net electron transference occurs between inlet and outlet points, while the density and polarity of charge carriers are regulated by a third control point [76, 77]. Thus, any displacement from a given basal current or potential during charges transference may be registered. SPEs are based chiefly on heterogeneous electrons transfer (hET). In this context, the most used interrogation techniques are amperometry, potentiometry, conductometry, and EIS (Fig. 3c–e) [6]. The advantages and limitations for applying each stated electrochemical technique into the WEBs based on SPEs were reviewed by Bariya et al. FETs do not consider hET, but changes in either voltage or current between G, S, and D are evaluated as detailed below. The fundamental issue is that any thin membrane or material sheet with a surface capable of generating a potential may be used for biosensing onto the epidermis. At the same time, the flow of the carrier's charge occurs depending on the platform type and the electrochemical technique [74, 82,83,84].
Since human tissue surfaces such as cornea, skin, or mucosa are non-planar, the wearable biosensors must be highly stretchable and very thin to conserve their capacity to complete on-site signal transduction once the biorecognition event occurs. To guarantee its noninvasive patchability and discreetness, WEBs use three strategies at least: i) epidermal or tattoo-like, ii) hard-soft, and iii) functional substrates [84, 85]. Since the electrode's material is lesser lithe, its design requires irregular shapes, e.g., serpentine, mesh, fractal (Fig. 4a) [85,86,87]. Most wearable formats for epidermal sensing are fabricated over a thermal stable and highly stretchable dielectric substrate like modified polyester (BASF, Ludwigshafen, Germany) [88], silicone elastomer Ecoflex [89], glass fiber-based paper [90, 91], polydimethylsiloxane (PMDS) [92], thermoplastic polyurethane (TPU)/carbon nanotubes (CNTs) composites [93, 94] or even silk fabric-derived nitrogen (N)—intrinsically doped carbon textile (SilkNCT) [95]. The commented material shows Young's modulus (elasticity) near or compatible with the skin (e.g., ~ 60 kPa BASF, 125 kPa Ecoflex, ~ 3 MPa PMDS) [88, 90,91,92,93,94,95].
Substrates in close contact with the skin prevent any electric interference with the electrodes. The substrate also improves electrical safety, avoids skin irritation, and facilitates the cleaning for reuse or exchange [84]. Since substrate behaves as an insulator, it is described by a capacitor (Ci) and a resistor (Ri) working in parallel (Fig. 1b) [10]. The sensing region (studied below) is coupled to a transducer that converts the biorecognition event into an electrical signal. An amplifier circuit communicates the transduced signal to a pre-programmed microcontroller to calibrate the readout into the linear detection range. The current-to-frequency conversion (CFC) principle is used to process the signal by an analog to digital converter (ADC) [97] into the encoder (i.e., microcontroller) [98]. Finally, the information is sent to a decoder that processes it to be displayed on a user device screen. Assembly of all components commented above into a stretchable and twistable ~ 30 μm “skin-like” membrane tattoo was achieved for the first time in 2011 (Fig. 4) [88, 96].
Ideally, the encoder–decoder sending is wireless through a less consuming energy-like Bluetooth Low Energy (BLE) system instead of a radio. Integrated technologies for storage, e.g., flexible batteries, supercapacitors, or harvesting energy, have been proven like autonomous powering sources for self-sensor functioning. While harvesters from light, thermal and mechanical energy have demonstrated high performance, interestingly, sweat may also be used for [99]. A self-powered patch-like simple device made with glass fiber-based paper and enclosed with PDMS has been reported for cystic fibrosis (CF) screening (Fig. 5a, b) [90]. It remained quiescent until the sweat absorption activated a sweat-based battery. When samples with ≥ 60 mM equivalents Cl− were applied, a threshold voltage value (1.2 V) was reached into a gate electrode of the metal–oxide–silicon FET (i.e., MOSFET; 1.51 V, CF patient). While glass fiber-based paper did not undergo substantial swelling after absorption, it maintained constant the geometry of the electrolyte in a comfortable platform. Other wearable harvesters utilize the sweat redox-active metabolites as mediators to couple a catalytic activity with hET. Immobilized lactate oxidase (LOx) onto an anode is the seminal example in which the perspired sweat provides the substrate, i.e., lactate that feeds an electrochemical reaction, which in turn yields a stable current that may be continuously harvested for the function of the device (Fig. 5c–f). Developed electronic skin energy supplies have been reviewed recently by García et al. [100].
Wearable epidermal biosensors based on screen-printed electrodes (WEB-SPEs)
For protein monitoring through wearable SPEs, the WE is functionalized with a bioreceptor to improve the WEB's specificity (Fig. 3b). The arrival of sweat through the delivery region until the sensing region leads to the analyte biorecognition. Since sweat is an electrolyte, a given current (I) flows across WE and CE when a customized WE vs RE potential is applied. Finally, the ligand–receptor event alters the hET onto the WE to be monitored. The architecture simplicity of the SPEs explains their scalability in the fabrication process, but on the other hand, the SPE relied devices also show a wide range of analysis possibilities using several electrochemical techniques (Fig. 3c–f). A carefully detailed review of the design and functioning of SPEs for cytokine-like proteins at the point-of-care approach was recently done by us [60]. Prof. Prasad's lab has several examples of WEBs-SPEs (Table 1). The basic prototype of most devices is based on a metalized layer of electrodes, e.g., ZnO, Au, Ag (Fig. 6a) printed over a porous harvester material which in turn is stacked with a watch-like appliance that contains the electronic reader (Fig. 6b, c) [101]. For cortisol sensing through non-faradaic EIS, a two- or three-electrode cell architecture is coupled with an arrangement of hybrid micro and nanoporous layers (Fig. 6d–f). The sweat harvesting using nanoporous membranes improves the performance of electrochemical biosensing because of the macromolecular crowding, nanoconfinement, and filtering by size-based exclusion (Fig. 6g) [102]. The basal-produced sweat at the eccrine and apocrine glands is passively transported to the detection region without the need of neither accumulating sweat nor another iontophoretic-like active methodology for sweat sampling [103, 104]. The applied small sinusoidal AC voltage induces a given capacitance over the WE that generates an output in the form of a phase-shifted current, recorded as a change in the impedance modulus (Zmod) (Table 1). While aptamers as biorecognition elements are smaller than antibodies, they provide greater capacitance given the reached stacking after immobilization. Thus, aptasensor yields a more comprehensive output signal range (30 k − 5 kΩ) [104] compared with a previously reported cortisol wearable immunosensor (10 k − 5 kΩ) (Fig. 6i) [103]. In the end, the final electrode arrangement may be incorporated into the hardware of the previously reported watch-like system called “CortiWatch” (Fig. 6b) [105]. Several changes, covalent coupling of protein followed by loading of the capture antibody in an oriented manner, as well as the incorporation of a platform for determination of the DHEA circadian hormone, allows the researcher to propose and test a robust system termed sensor for circadian clock (SLOCK) [106, 107]. Briefly, the circadian hormones were monitored in the passively produced sweat using EIS and chronoamperometry-relied WEBs. Four hours of testing were considered at three different situations: rest (hours 1 and 2), exercise mediated spike (hour 3), and post-exercise resting (hour 4). Consistently, either cortisol or DHEA increased after exercise, suggesting the reliability of the SLOCK system to avoid background associated with variables like motion, heat, and receptor degradation [107]. WEB-SPE technology for hormone sweat monitoring that controls the circadian rhythm was reviewed recently [57]. The enlargement of the scope analysis of the SLOCK platform for cytokines present at eccrine secretion was made recently by Prof Prasad's lab researchers. An LDR of 50–1000 pg·mL−1 for IL-31 [108] suggests the real possibility of ILs monitoring into the sweat by WEB-SPEs. The outstanding device called EnLiSense's skin-SWEATSENSER is capable of sensing four different inflammatory cytokines (i.e., IL-6, IL-8, IL-10, TNF-α) from passive eccrine sweat in a continuous real-time manner (Fig. 6c, h) (Table 1) [55]. The device showed a good correlation compared with ELISA and RIA referent tests in a cohort of 26 subjects (Pearson's r > 0.98) but also the ability to distinguish healthy and infected individuals relied on recorded cytokines levels at sweat. Notably, the sweat-to-serum ratio of IL-8 was ~ 1.01 into the rage 2–15 pg mL−1 from nine volunteers and a patient cohort of five subjects showing a good correlation between sweat and circulating levels of several cytokines.
The plasticity of SWEATSENSER is because it uses a replaceable strip with the same electronic reader (Fig. 6c). Thus, the strip may be functionalized with other bioreceptors during the sensor fabrication process and then adapted for. To illustrate, the detection of IL-1β and C reactive protein (CRP) in the sweat using SWEATSENSER technology variates only in the use of monoclonal IL-1β or CRP capture antibodies to trip functionalization (Table 1), which also reports a Pearson correlation of r > 0.90 either IL-1β or CRP, in comparison with ELISA [109].
Finally, NPY monitoring by WEB-SPEs had been recently achieved also by Prof. Prasad's lab. A non-porous concentric pattern of gold WE/RE interdigitated electrodes arrangement (135 mm2 area) was compared with a three-electrode interdigitated platform. The former design minimized the field interferences from edges while the latter increased the overall capacitance of the system and can operate with ultra-low volumes of sweat (Table 1) [102]. The use of (non-) faradaic EIS and chronoamperometry confirmed the platform's usability to measure NPY in concept tests even at 10 pg/m. NPY is a 36-amino acid polypeptide that, despite its expression throughout the central and peripheral nervous systems, has been associated with several microenvironments as the inflammatory one [117]. Immune cells such as macrophages express NPY receptors that have been associated with immune regulation. Thus, the correlation between the observed proinflammatory profile and the high levels of NYP in people with major depressive disorder (MDD) was investigated actively. A study demonstrated the correlation between premenopausal women with MDD in remission and the high levels of NPY into the sweat, which may help follow and predict the complications like cardiovascular disease, osteoporosis, and diabetes [118]. WEBs may improve these approaches because continuous real-time monitoring may track disorders like chronic anxiety and MDD via self-monitoring of NPY.
Wearable epidermal biosensors based on field-effect transistors (WEB-FETs)
FETs are solid-state electrodes that commonly operate by a tunable 2–30 V. These kinds of transistors have efficient electrical power consumption, emit negligible heat, and, as any transistor, may self-amplify the electrical signals [81, 87, 119]. WEBs based on FETs have a basic architecture that contains a tripartite terminal system (i.e., G, S & D) and a semiconductor channel that serves as a bridge for electric flow between S and D (Fig. 3g). Impure or intrinsic semiconductors are mainly used as a channel. When the used semiconductor is doped with trivalent elements, e.g., boron, gallium, the channel is rich in positive valences or holes, i.e., p- or acceptor-type, but the doping with pentavalent elements, e.g., arsenic, antimony increases the negative charges or electrons, i.e., n- or donor-type. Most channels for health monitoring are separated from G electrodes by a dielectric layer over [23] to improve the internal structure of the semiconductor and to ensure a uniform penetration of applied voltage [120, 121], e.g., metal–oxide–silicon in the case of MOSFET and electrical-double layer in the case of ion-sensitive FETs (ISFETs) [20, 79, 80]. While WEB-FETs for sweat analysis are commonly liquid-gated [122], ISFET-like are the most used, which may detect ions as H+, Na+, K+, or Cl−. Graphene (GFET) or an organic π-electron system (OFET) is immersed into the electrolyte sample, together with a reference electrode forming a gate-like structure because the EDL formed onto functions as a dielectric. The G electrode is also made from a semiconductor material and is coupled to a circuit that introduces a customized electric field through an insulating layer, i.e., G-S voltage, VGS. The flow intensity of the charges between D and S, i.e., D–S current, IDS is tuned by the applied VGS over the channel material, controlling it. Compared with conductors, semiconductors have a lower charge density, i.e., electrons and holes, enabling the applied potential to penetrate quite far into, despite its relatively weak power, and modifying the conductive properties of the surface material or, what is the same, displacing the charge of the transistor's conduction channel.
A biorecognition element is immobilized, e.g., antibody, aptamer, enzyme at the surface to associate their changes on electric properties during the interaction with a specific analyte. Since the microenvironment of conductive material determines the features of the channel, any change at its surface alters the charge passing density, i.e., the current and the associated readout electrical metrics, a phenomenon termed field effect, which affects just the more near surfaces, decreasing rapidly with distance [77]. The last is particularly true for vdW materials like graphene and other low-dimensional structures such as nanowires and nanoribbons because their surface-to-volume ratio enhances the sensitivity and allows a very low limit of detection (LOD) [123, 124]. As proof, increasing VGS decreases channel resistance to establish a significatively IDS because the basal VDS forces the charges to flow through in the S → D direction. Whether G or channel surfaces are coated with a biorecognition element, the voltage (VG) alteration produced by a given concentration of ions after a given biorecognition event may be assessed as a function of the analyte concentration [125]. Then, the inlet signal IGS is altered, modifying the outlet IDS into the channel, amplified for further readout processing. In brief, if any of the three parameters VDS, IDS, or VGS vary, the other two will fine-tune their behavior either linearly, e.g., any VGS increase leads to a significatively IDS increase or saturated, e.g., IDS is not modified despite any increase in any VDS [79, 81]. In a transfer plot (Fig. 3h), the typical V-shaped D-S current (IDS) signal is obtained when D-S electrodes are continuously biased in a saturation mode while the G voltage (VG) seeps. Here, the IDS is primarily controlled by the VGS but weakly dependent on VDS, so a density decrease in the positive carriers or holes (i.e., left branch or p-branch) is experienced while electron transfer increases gradually (i.e., right branch or n-branch) (Fig. 3h).
The minimum VG, where the holes and electron populations are proportional and the minimum of current is registered, is termed charge neutrality point (CNP). A linear behavior may be observed from CNP, also called the Dirac point, because it is described by the linear equation shown in Fig. 3h [20]. It is worthwhile to note that the amplification role of FET is accomplished because the biorecognition event introduces small changes in applied voltage, resulting in significant changes of current, or vice versa (Fig. 3i). Once the potential is established, the electrolyte ions around the semiconductor surface are reoriented based on their charges, leading to EDL near the microenvironment. Since the thinness of commonly used semiconductors onto FETs, e.g., graphene, a very small EDL is also formed at nanometer or even angstroms scale, resulting in a large gate capacitance, which is in turn relatively easy to measure [129]. The applied gate potentials required to overtake the Dirac point are small (e.g., ± 1 V). Registered IDS vs. VG signal is affected by the semiconductor doping state so that the CNP for intrinsic ones is reached at 0 VG. The modifications at the semiconductor surface explain the observed V-shaped behavior, where the left part corresponds to high positive carriers or holes density, i.e., p-doping, while the right appears if the electron flow is meaningfully more significant than the holes, i.e., n-doping. Similarly, the electrostatic gated effect predicts that if the recognition elements capture a positive-charged target, it will tend to attract negative carriers, i.e., electron trapping, leading to an n-doping, and vice versa (Fig. 3h) [111, 119].
Inconsistencies observed from the expected behavior have been associated with degradation, altering target structure or impurities into the measurement system. The pH is crucial during protein determinations because any variation can alter the deprotonation state of its amino acid groups, leading to unexpected behaviors of p- or n-doped branches in the transfer curves. For instance, Kim et al. reported an immunosensor based on reduced graphene oxide-FET, which was n-doped at pH 7.4 when the studied analyte (i.e., prostate-specific antigen/a1-antichymotrypsin; PSA-ACT) was negatively charged but underwent a p-doping when the analyte was charged positively at pH 6.2, under its isoelectric point (i.e., pI 6.8) [130].
Apart from CNP changes, a different measurement approach may be made when transconductance (gm) variations are recorded (Fig. 3j) [131]. This parameter results from the ratio between current change at the output port and the voltage change at the input port. In terms of FETs, the gm is defined by the ratio of the small changes in the D current (δID) and the small changes in the G-S voltage (δVDS) with a constant biased D-S (i.e., gm = δID/δVDS). In other words, gm of any FET corresponds to a performance feature that estimates its proficiency to convert a slight change in voltage in a substantial current readout [76]. Thus, because analyte binding behaves as a new scattering site, it changes the basal charge's velocity flow, i.e., mobility, μ. Slope variations in either p- or n-branches of the transfer curve are further registered (Fig. 3j). Finally, it may be easier to measure the variation in the charges stream through the channel, i.e., electrical current at a fixed VG, but since it depends on both charge's density (n) and velocity (v), it is not easy to separate the contribution from either during data processing. The above also explains the associated CNP and gm (i.e., p-/n- slope) variations (Fig. 3k). Notwithstanding wearable epidermal FETs for protein measurement from sweat are relatively scarce, these devices have shown advances in development, including material improvements and the increased complexity of the evaluated analytes [126,127,128].
While the platforms shown in Fig. 7 was not designed for protein measurement, it gives an idea about the feasibility of FET-based technology for wearable fabrication with cost-affordable materials. In WEB-FETs for sweat analysis, the sample delivery over the ISFET must be controlled so that the channel and the reference electrode are the unique ones exposed (Fig. 7c–e). To illustrate, the molecularly imprinted polymer (MIP) technology was used by Parlak et al. to synthesize a molecularly selective cortisol-membrane (Fig. 8A, B), which, together with a microfluidic system, controlled the sweat delivery to the sample reservoir and sensor further (Fig. 8c, d). Notably, while molecules like cortisol are neutral, the obstruction of MIP by cortisol alters the flow of ions to the channel, simplifying the measurement format (Fig. 8e) for the flexible device (Fig. 8f, g). Similarly, three works based on aptamers show the reliability of the stretchable GFETs for cytokine measurements in sweat and other biofluid samples without labels (Fig. 9a–g) [113,114,115,116]. The further development of the above had allowed its multiplexing for cytokines storm monitoring during severe acute diseases like COVID-19 (Fig. 9h, i) (i.e., IL-6, TNFα, IFNγ) [132]. The reported device uses the Tween 80 for passivation and a dual channel system to adjust the aptamer–cytokine binding onto the sensing unit with the background generated onto a reference unit (Fig. 8h) [110]. In the end, the generated data is sent wireless to a connected Android smartphone.
NPY had also been tried to be monitored into the sweat using the WEB-FET system. A recent work uses short 12-mer peptide as biological recognition element (BRE) called PN1 (HSSYWYAFNNKT) (Fig. 10) (Table 1) [111]. Interestingly, the use of liquid cell transmission electron microscopy (LC-TEM) variation enabled researchers to study the interaction of the graphene chemisorbed PN1 and the NYP at the same time of measurements [112]. The last quoted platform was carried out in artificial sweat and was modeled using Gouy–Chapman–Stern representation for liquid-interface interaction. It partially explains the screening effect by direct observation. It recalls the importance of basic research to ameliorate limitations associated with the charge screening, for future WEB-FETs devices, especially for the real-time sensing of small charged biomarkers like NPY [111].
Up to date, reviews have been made either detailing the general requirements for stretchable FETs fabrication [87] or focusing on the advantages conferred by the two-dimensional materials to the wearable electrochemical biosensor devices (e.g., lightweight, biocompatibility) [9,10,11, 18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133].
Challenges of WEBs design and possible solutions
Based on the advantage that confers decreasing size device in terms of sign-to-noise gaining, the commented designs need to consider the minimal scale and its shape and geometry to confer higher surface-area-to-volume ratio, reduce screening time and offer reliable mass-transport times. Like most body fluids, sweat has a considerable ionic strength that packs the counterion so close, or the same, decreases the Debye length (λD) and improves the associated electric screening [129]. Consequently, small Debye lengths into biological samples (e.g., λD = 0.7 nm in 1X PBS) should promote the remotion of the analyte from the G or WE surface [134]. Strategies to reduce the Debye screening in FETs that use a static (direct current, DC) gate bias have been summarized in (i) improving synthesis in channel material to attain distinct morphologies and charges distributions, (ii) redesigning the receptors size smaller than the λD, and (iii) increasing the λD by electrolyte dilution [13, 77]. It has been suggested that, since electrodes with concave surfaces surround more the electrolytes than either flat or convex, it also highly ameliorates the Debye screening and experiences lesser capacitance, improving the sensitivity [135].
Other analytical approaches suggest that a hemispherical electrode less than 50 nm forms a curved EDL with a large diffuse layer, growing the surrounding ionic cloud thickness [136]. It is associated with a capacitance increase and a drop of the potential from the outer Helmholtz plane, affecting the tunneling length for hET in the case of SPEs. Some promising strategies based on capacitance or associated EDL formation have demonstrated the biosensing feasibility into strength ionic liquids like a serum. Under positive gate bias, a microfluidic coupled device induces the formation of a positive EDL onto a channel made of aluminum gallium nitride (AlGaN) and negative ones onto a gold G electrode, increasing the output drain current. Thus, analyte binding onto G induces a VG drop leading to a local redistribution of the charge density, altering the charge density on the active channel. The above allows the rapid (i.e., ~ 5 min) and highly repeatable serum measurement of either neutral or charged proteins without washing requirements in significative clinical levels (e.g., C reactive protein, 1 fM–26 nM) [137]. Then, the high sensitivity observed by tunnel FET-based biosensors may be because of its concave arrangement at the cavity [131].
Since most sensors require a minimum analyte threshold at their surface to produce a substantial output, the accumulation is also decisive. Before moving on, it is precise to assume that all the sensing region (i.e., G, channel, or WE) is covered by the bioreceptor since, otherwise, the signal-to-noise ratio decreases while the signal derives to a more significant area than that where the analyte binding takes place [123].
Analytical considerations suggest that, in steady-state, a hemisphere-shaped nanobiosensor surface can accumulate in a time 11% more molecules than a disk of the same area [138]. In terms of WEBs, it means that an extremely small design could require more extended periods to accumulate a given threshold of molecules for positive detection, affecting the time of response for continuous real-time monitoring [139]. Of course, the last is especially true for diluted analytes such as protein biomarkers, making the LOD per unit of time one of the most critical criteria to estimate the wearable biosensor performance. Here, the affinity level of biorecognition elements, joint with the sensibility of the sensor's surface, must be considered to surpass the mass-transport limitations imposed by convection (far away from the sensor) and diffusion (close to the sensor). It, in turn, may be optimized by microfluidic system delivery or electromagnetic concentration strategies [91, 140, 141], especially in the case of sweat where the unidirectional flow does not occur naturally [6]. Since sample volume is not the limiting factor for wearable sensors because it is in close contact, the measurements should be as rapid as electrochemistry enables. For example, a hard/soft composite system used a high-molecular-weight silicone oligomer (Sylgard 184, without curing agent) for appliance fluid immersion, which in turn was enclosed between substrate/superstrate silicone elastomers (Ecoflex, Smooth-On, Easton, Pennsylvania) (Fig. 11). Although the above was not used for protein biomarkers assessment, and the microfluidic suspensions were used for mechanic isolation, this type of device suggests plausible ways to introduce microfluidics into the WEBs as sampling delivery systems. Briefly, the sensor's geometry affects the time needed to produce a steady-state signal, only achieved when the union between the analyte, into the sample, and the biorecognition element, onto the biosensor, be at equilibrium [139]. To illustrate, while planar FET and WE may interact with the sample just in one of its sides (1D), nanostructures like nanowires (2D) and nanospheres (3D) include the perpendicular interaction, accomplishing the equilibrium faster, and its associated steady-state signal [125]. Thus, nanostructured devices may help overcome the required response time to detect an analyte in a real-time manner.
Miniaturization has been proposed to make less invasive strategies. Since conventional flat-electrode includes only 1D sample flow and is lesser flexible, nanopatterned electrodes like porous surfaces, nanomeshes, and atomic phase structures have been developed [86]. Microneedle-based platforms are applied in a pseudo-invasive manner. In electrophysiological monitoring, microneedles minimize the insulating effect of the more external stratum corneum because the body of the needles surpass this skin layer and put in direct contact with the other more conductive epidermal layers (i.e., granular, spinous, and basal). The simplified electrical equivalent circuit showing the electrode coupling and the conductive epidermal layers are shown in Fig. 1c [10]. For chemical WEBs, four epidermal layers must be crossed over to sample the dermis. A microneedle two electrodes array (i.e., Cr/Pt WE, Ag/AgCl RE) was implanted transdermally onto human skin for enzyme-based biosensing of glucose, lactate, and theophylline by chronoamperometry (Fig. 12) [142] using very moderate forces (< 10 N). Notwithstanding, the microneedle systems are challenging to use for aptasensing or immunosensing because of the skin's basal nuclease and protease production and the possibility of initiating chemotaxis and another foreign body reaction where the immune cells are immune like neutrophil degranulate, releasing large quantities of proteases. The protein adsorption onto electrodes from pseudo-invasive devices like transdermal may induce temporal changes during readout, altering selectivity and signal-to-noise ratio over time. Commonly, there are two mechanisms to ameliorates this problem; i) the modification of the electrode surface with anti-biofouling materials that augment its hydrophilicity, leading to a thin hydration layer that makes the settling of non-specific bindings energetically unfavorable; and ii) the use of high molecular weight molecules to confer steric repulsion. Briefly, these materials had been grouped into four categories: i) polyethylene glycol (PEG)-based materials, ii) zwitterionic polymers, iii) biomimetic materials like hyaluronic acids, and iv) synthetic peptides [143]. Since the protein content of the sweat is relatively low, the biofouling should be minor compared with whole serum or deeper biofluids like ISF. Additionally, microfluidics to separate the device components, a prefiltration or preconcentration of the sample, and differential readout methods also help to reduce the biofouling [125].
Finally, the durability and stability of WEBs should be evaluated because processes like oxidation of the electrode material and variations in temperature, pH, or ionic strength during measurement may lead to false-positive/negative determinations.
Conclusions, remarks, and prospects
World Health Organization (WHO) had proposed nine principles to design wearable health monitoring devices, called REASSURED [144]. Real-time connectivity (i.e., once generated, users immediately obtain results), ii) ease of specimen collection (i.e., noninvasive), iii) affordable, iv) sensitive (i.e., no-false negatives), v) specific (i.e., no-false positives), vi) user-friendly (i.e., straightforward measurement), vii) rapid and robust (i.e., high device stability and short time of response, 15 min to 2 h), viii) equipment-free and environmentally friendly (i.e., autonomous power supply and easy disposable), ix) deliverable to end-users (i.e., cheap). Briefly, the ideal WEB should be noninvasive, autonomous, and stable. Label-free, no calibration requirements, and the capacity to eliminate the biofouling may improve the platforms so that the response time, after biorecognition, is almost immediately and continuously. There are challenges related to mechanics (e.g., noise from motion and strain), size (e.g., Debye screening, time response), sampling system (e.g., sampling frequency), fabrication (e.g., high throughput mass production, ink impurities), energy consumption performance (i.e., the durability of source energy to ensure autonomous running) and long-live after dressing [6, 12, 78, 81,82,83,84, 98, 143]. Therefore, it is crucial to consider the applicability of wearable epidermal formats to measure protein biomarkers in terms of issues deliberated across this review. It should be mindful that wearable biosensor remains with its owner (embedded with them). In this fashion, WEBs may exchange information with bedside care equipment (e.g., monitors, electrocardiogram machines, chest X-ray, and computed tomography) by wireless data record. WEBs may also be connected to other records like travel data, vaccination, and medical histories, potentially managed by the Internet of Things (IoT).
Focusing on individual patients, integrating, and analyzing information generated by WEBs expect to improve individualized fitness monitoring, early diseases detection, and better supervision of chronic diseases. For instance, in the monitoring of abuse drugs, wearable sensing may permit the toxicologist a remotely continuous register of the vital signs of patients in contrast with levels of the substances in the blood, identifying relapse and tolerance episodes [145]. The crowding of patients into hospitals may be reduced because the integration with telemedicine consultations ensures the medical appointments and a patient's care at his/her home [146]. The possibility of immediate notification to the medical dataset also should enable real-time feedback to the national health systems so that the epidemiology-based decisions may be taken rapidly according to the so actualized results from diagnostic tests' big data. Thus, the use of artificial intelligence (AI) and deep learning (DL) should improve the understanding of healthcare trends to model risk associations and predict outcomes [146]. The last should improve the prevention power of implemented public health strategies [147]. Of course, the generated and integrated information must be stored carefully to avoid hackers and data losses. In this line, the security strategy called blockchain, which does security copies on different peer-to-peer organizations' servers, may protect them by also different cryptographic protocols, making the system reasonably secure [148]. Nowadays, enterprises for real-time COVID-19 records, as World meter, “Our World in Data” (University of Oxford), and COVID-19 Dashboard (Johns Hopkins University), permits tracking the epidemiologic behavior of the pandemic caused by SARS-CoV-2. Most of them are manual records made at medical laboratories around the world. Thus, there is a delay (i.e., days, or even weeks in developing countries) between the actual moment in which the diagnostic test is done (i.e., immunochromatography or PCR for SARS-CoV-2) and the curation data for loading to the “real-time” reports of the system [149]. Despite the referred delay, some studies show the usefulness of this data treatment for design politics that allows the economic reopening without decreasing or maintaining COVID-19 pandemic behavior [150]. In the medical context, continuous real-time monitoring, and connectivity, achieved through devices like electrochemical WEBs, not just will amend the quoted result register delay but also could improve the speed and effectiveness of both the public healthcare policies and the personalized healthcare level of the patients, mainly if WEBs are coupled to digital technologies based on IoT, AI, and DL.
Basic research about the sweat biology is needed. Concretely, the protein partitioning rate as a function of diet, exercise, and diseases progression is required. The disambiguation of release mechanisms will allow separating the basal from pathological levels and eliminate the background introduced by epidermal contamination or apocrine/eccrine sweat gland mixing. The potential utility of sweat protein analytes to evaluate human physiological status also will improve start-up initiatives such as Eccrine Systems, EnLiSense' SWEATSENSER, and CortiWatch. Issues as sweat features according to the patient conditions and sampling techniques, the elimination of byproducts from the epidermis, as well as sebaceous gland secretions and the normal sweat evaporation to avoid cumulation, must be surpassed in research shortly, especially in the real-time monitoring devices like WEBs, in such a way that this kind of promising technology gathers more attention and investment [7, 28, 55, 84].
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Acknowledgements
DP received funding from MINCIENCIAS through the Project Cod. 111584467470. JO thanks support from The University of Antioquia and the Max Planck Society through the cooperation agreement 566-1, 2014. We thank The Ruta N complex and EPM for hosting the Max Planck Tandem Groups.
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Pérez, D., Orozco, J. Wearable electrochemical biosensors to measure biomarkers with complex blood-to-sweat partition such as proteins and hormones. Microchim Acta 189, 127 (2022). https://doi.org/10.1007/s00604-022-05228-2
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DOI: https://doi.org/10.1007/s00604-022-05228-2