Next Article in Journal
Mechanisms Suggesting a Relationship between Vitamin D and Erectile Dysfunction: An Overview
Next Article in Special Issue
Dual-Step Controlled Release of Berberine Hydrochloride from the Trans-Scale Hybrids of Nanofibers and Microparticles
Previous Article in Journal
Recombinant α1-Microglobulin (rA1M) Protects against Hematopoietic and Renal Toxicity, Alone and in Combination with Amino Acids, in a 177Lu-DOTATATE Mouse Radiation Model
Previous Article in Special Issue
β-Glucan and Fatty Acid Based Mucoadhesive Carrier for Gastrointestinal Tract Specific Local and Sustained Drug Delivery
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomolecules
Volume 13
Issue 6
10.3390/biom13060929
biomolecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System

by
Bikram Khadka
1,
Byeongmoon Lee
2 and
Ki-Taek Kim
1,3,*
1
Department of Biomedicine, Health & Life Convergence Sciences (BK21 Four), Biomedical and Healthcare Research Institute (BHRI), Mokpo National University, Muan-gun 58554, Jeonnam, Republic of Korea
2
Soft Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
3
College of Pharmacy and Natural Medicine Research Institute, Mokpo National University, Muan-gun 58554, Jeonnam, Republic of Korea
*
Author to whom correspondence should be addressed.
Biomolecules 2023, 13(6), 929; https://doi.org/10.3390/biom13060929
Submission received: 27 April 2023 / Revised: 28 May 2023 / Accepted: 31 May 2023 / Published: 1 June 2023
(This article belongs to the Special Issue Novel Materials for Biomedical Applications: 2nd Edition)
Browse Figure
Versions Notes

Abstract

:
Smart wearable patch systems that combine biosensing and therapeutic components have emerged as promising approaches for personalized healthcare and therapeutic platforms that enable self-administered, noninvasive, user-friendly, and long-acting smart drug delivery. Sensing components can continuously monitor physiological and biochemical parameters, and the monitoring signals can be transferred to various stimuli using actuators. In therapeutic components, stimuli-responsive carrier-based drug delivery systems (DDSs) provide on-demand drug delivery in a closed-loop manner. This review provides an overview of the recent advances in smart wearable patch systems, focusing on sensing components, stimuli, and therapeutic components. Additionally, this review highlights the potential of fully integrated smart wearable patch systems for personalized medicine. Furthermore, challenges associated with the clinical applications of this system and future perspectives are discussed, including issues related to drug loading and reloading, biocompatibility, accuracy of sensing and drug delivery, and largescale fabrication.

1. Introduction

The human skin consists of multiple layers, including the stratum corneum (SC), viable epidermis, dermis, and hypodermis [1,2]. The dermis (approximately 1 μm thick) consists of structural molecules (hyaluronic acid, elastin, and collagen), sweat glands, hair follicles, and blood capillaries and has high water content. These blood capillaries, which are enriched in the dermis and hypodermis, allow drugs applied via the transdermal route to be absorbed systemically [3]. The SC (10–20 μm thick), which is the outer barrier of the epidermis, consists of the corneocyte lipid envelop and intercellular lipid layers, which are highly interconnected [4]. The highly lipophilic and tightly connected structure of the SC impedes the delivery of molecules with high molecular weight (>500 Da) or high hydrophilicity (log P < 1) (i.e., ionic molecules) to the dermis and blood vessels [5].
The advantages of transdermal drug delivery are exhibition of controlled drug release and reduced side effects, achievement of reduced dosing schedules, ease of on/off-application, and bypassing first-pass metabolism [6,7]. However, transdermal drug delivery has so far been adopted to only limited applications. The limitation of transdermal drug delivery is attributed to the low permeability of the SC layer, insufficient drug-loading capacity, skin irritation caused by the long applying time, and low reproducibility due to the large variation in skin status among patients [7,8]. To overcome these limits, various transdermal drug delivery systems (TDDSs) have been extensively investigated and have evolved over several generations. The first generation of TDDSs, based on chemical enhancers, oil formulations, or nano-carriers, aim to passively enhance the skin penetration and diffusion of drugs. The second generation can more actively enhance those methods of skin penetration and diffusion by adjusting external stimuli such as electricity, voltage, ultrasound, and heat/light. The third generation mainly comprises microneedle formulations that can perforate the SC barrier and deliver drugs directly to the upper dermis [3].
The fourth generation, which has been actively investigated in recent years, involves thin, soft, and flexible devices that can be smoothly and tightly integrated on the skin [9]. Using these smart wearable devices, the physiological parameters (physical information such as cardiovascular signals and body temperature and the biochemical information including various biomarkers) of the user or patient can be monitored in real time, and transdermal drug delivery from the patches can be controlled by means of the various signals detected by the devices [10]. Thus, personalized therapy and healthcare can be achieved using the fourth generation of TDDSs, which are smart wearable patch systems [9,10].
This review focuses on the components of smart wearable patch systems and various types of physical and biochemical information monitored by these systems. Moreover, we discuss various drug delivery systems used in the smart wearable patches, their recent applications in specific diseases, and the limitations of further development processes, especially clinical trials.

2. Basic Concept of Smart Wearable Patch Systems

Smart wearable patch systems generally comprise supporting substrates, adhesive films, flexible circuits, thin-film sensor systems, actuator components, therapeutic systems, data transmission systems, power supplies, and/or energy-harvesting systems [11]. When these systems are applied on the skin, the sensor components detect and monitor various types of physical and biochemical information, such as blood pressure and blood glucose levels, from sweat. The signals from the sensors can be transferred as data, which can be viewed on a mobile device or computer in real time via a wireless data transmission system. In addition, actuator components can generate electric, thermal, and/or vibrational energy if the signals are outside the normal criteria. This form of energy transfer to therapeutic systems occurs as stimuli, and drug delivery can be triggered or enhanced by these stimuli [12].
Therapeutic components can be incorporated into the substrates as the drug itself, or micro-/nano-particles can be included in other reservoirs such as hydrogels or microneedles. Drug release from these therapeutic systems to the skin and its systemic absorption can be triggered or enhanced by pathological conditions such as pH and enzymes; extrinsic stimuli such as heat, electricity, and light [ultraviolet (UV) and near-infrared (NIR)]; or mechanical movements such as stretch force [12,13,14,15]. These stimuli-responsive carrier-based DDSs that are combined with the biosensors and actuators enable one to produce closed-loop and on-demand drug delivery to users or patients, and for this reason it can be considered as a promising personalized healthcare platform (Figure 1).
The most significant characteristic of smart wearable patches is their flexibility and stretchability, which can be achieved using highly soft and stretchable polymers (e.g., polydimethylsiloxane) as a supporting substrate and fabricating essential components (e.g., sensors, electrodes, circuits, and actuators) using thin-film or miniaturization methods [16,17]. Another ideal characteristic of the wearable patches is biocompatibility, which can lead to long-term and repeated wearing without skin irritation or allergic/immune responses in the patient or user [18]. Regarding these characteristics, the soft, thin, flexible, and stretchable smart wearable patch systems that have been actively investigated possess frontier technologies compared to commercial wearable patch systems for healthcare applications (Table 1).

3. Physical and Biochemical Information Monitored by Sensor Components

The sensor components of smart wearable patch systems can monitor physical health information such as blood pressure, ECG, and body temperature [23]. Biosensors also detect and quantify biochemical information such as metabolites and electrolytes [24]. The continuous monitoring of health information using biosensors can be adapted for healthcare applications, disease diagnosis, and personalized therapy [10,23]. The various physical and biochemical parameters monitored by the sensor components of the smart wearable patch are summarized in Table 2.

3.1. Physical Information

3.1.1. Cardiovascular Signals

Pressure sensors such as piezoresistive, piezocapacitive, and piezoelectric (triboelectric) sensors can monitor cardiovascular signals, including the arterial pulse and ECG, which can help manage cardiac rhythm disorders [19,25,26]. Continuous measurement of blood pressure, which is closely related to hyper-/hypo-tension and cardio-/cerebrovascular diseases, can also be achieved by those sensors that detect the arterial pulse and ECG [27,28].
Mechano-acoustic sensor components, including accelerometers, can monitor heart murmurs, which may be related to heart valve disorders, by measuring the vibration of chest skin from heartbeats [29].

3.1.2. Body Temperature

Temperature-sensitive, resistance-based sensors (i.e., reduced graphene oxide (rGO) and gold (Au) as conductive materials) can detect changes in electrical resistance depending on temperature, thereby continuously monitoring body temperature. This provides information regarding overall physiological condition and skin status [30,31].

3.1.3. Skin Aging Indicators

Monitoring skin humidity and UV exposure can help determine the use of cosmeceuticals, thereby delaying skin aging. Humidity sensors based on rGO or carbon nanotubes (CNTs), which have water-permeable structures, can detect changes in epidermal electrical resistance depending on the water molecules present in the skin [32]. Photosensors based on zinc oxide (ZnO), functional ZnOs, and rGO can monitor UV exposure in the skin by detecting changes in conductivity depending on the adsorption and desorption of oxygen molecules in the porous structures of these materials [33,34].
Continuous measurement of the elastic modulus of the skin can help attenuate wrinkles and determine areas of skin wounds and cancer. Sensor components, including piezoelectric sensors and actuators to measure the elastic modulus, can detect differences in the deformation of the elastomer layer and the skin when variable voltages are applied [35]. Generally, normal skin has a smaller elastic modulus than aged, damaged, or wounded skin areas [35]. In addition, the elastic modulus of tumor lesions in the skin differs significantly from that of normal skin [36].

3.2. Biochemical Information (Biomarkers) from Sweat, Interstitial Fluid (ISF), or Wounds

3.2.1. Biomarkers of Metabolic Diseases

Electrochemical biosensors can quantify various metabolic biomarkers on the basis of the signals generated by specific enzyme reactions with target biomarkers from sweat or ISF [37]. Carbon-based materials (e.g., CNTs and rGO), conductive polymers (e.g., PAni), and nanowires have been widely used as materials for biosensors [23].
The diagnosis of diabetes through continuous glucose monitoring from sweat or ISF has been most actively studied by fabricating various types of glucose sensors based on graphene, CNT, and Au-Si/poly(amidoamine) dendrimer immobilized with glucose oxidase [38,39,40]. Monitoring lactate levels can help manage muscle conditions during anaerobic exercise and check the progress of hypoxia-derived symptoms and cardiac/liver diseases [41]. Additionally, lactate biosensors based on CNT and conductive polymers immobilized with lactate oxidase have been developed for the quantitative monitoring of lactate levels in sweat [42,43]. The detection of cholesterols and triglycerides in sweat using biosensors based on carbon materials or conductive hydrogels immobilized with enzymes (cholesterol oxide for cholesterol; lipase/glycerol kinase/glycerol-3-phosphate oxidase for triglycerides) can be utilized to diagnose hyperlipidemia and prevent cardiovascular diseases [44,45].

3.2.2. Electrolyte Biomarkers

Monitoring electrolytes in sweat can be beneficial for managing body conditions during intense exercise or for specific diseases. Sodium (Na+), chloride (Cl−), and potassium (K+) are significant biomarkers of dehydration during exercise [46]. In particular, the concentrations of Na+, Cl−, and calcium ions (Ca2+) in sweat or blood are related to liver diseases such as cystic fibrosis and cirrhosis, and those of ammonium ions (NH4+) are related to bone diseases or wound formation [23,47,48]. Monitoring heavy metals can help manage various diseases caused by their accumulation or deficiency. Zinc (Zn) deficiency is related to immune system depletion or insulin malfunction, whereas accumulation of copper (Cu) is related to heart, kidney, and liver failure or Wilson’s disease [23]. The accumulation of cadmium (Cd), lead (Pb), and mercury (Hg) causes endocrine disruption, immunological and neurological dysfunction, and various cancers [49].
Potentiometric sensors with ion-selective membrane electrodes based on multi-walled CNTs and organic electrochemical transistors were used to identify the concentrations of Na+, Cl−, and K+ and Ca2+ and NH4+, respectively, in sweat during exercise [50,51]. Ion-selective membrane electrodes connected to an iontophoretic system to enhance sweat collection successfully monitored the concentrations of Na+ and Cl− in healthy subjects and patients with cystic fibrosis [52]. Electrochemical sensors based on stripping voltammetry and Au and bismuth (Bi) electrodes identified the concentrations of heavy metals (Zn, Cu, Cd, Pb, and Hg) in sweat. This quantification was validated by analyzing urine samples using inductively coupled mass spectrometry [53].

3.2.3. Biomarkers of Skin Wounds

Fluids from skin wounds contain various biomarkers related to wound formation and recovery. The pH of chronic or infected wounds can be increased to near neutral and slightly alkaline, whereas that of normal skin is slightly acidic (approximately pH 5.0) [8]. Uric acid and lactate are the major metabolites produced by impaired vascularization, hypoxic conditions, and ATP depletion in skin wounds [54]. Similarly, oxygen levels in skin wounds can be reduced. Upregulated or downregulated expression of cytokines (e.g., tumor necrosis factor α; TNF-α, transforming growth factor β; TGF-β) and interleukins (ILs) (e.g., IL-6, IL-8) have been observed in chronic wounds [55].
The pH values at skin wound sites have been identified by potentiometric sensors with positive exchange membranes and electrochemical impedance metric sensors based on CuO nanostructures [56,57]. The concentrations of uric acid and lactate in wound fluids were successfully monitored using biosensors based on porous graphene scaffolds immobilized with uricase and CNTs immobilized with lactate oxidase, respectively [58,59]. Fluorescence sensors based on phosphorescent oxygen-sensitive ruthenium compounds can visually identify oxygen levels using an external optical instrument [60]. Recently, immunosensors based on an Au nanoparticles/graphene composite immobilized with aptamers have been used to successfully monitor cytokine levels (e.g., TNF-α and TGF-β) and IL levels (e.g., IL-6 and IL-8) in skin wound fluids [61].
Table
Table 2. Various physical and biochemical parameters acquired by sensor components in smart wearable patch systems.
Table 2. Various physical and biochemical parameters acquired by sensor components in smart wearable patch systems.
Type of SensorMonitoringAcquired
Parameters		Reference
Piezocapacitive sensorECGECG[26]
Triboelectric sensorArterial pulse, ECGBlood pressure[28]
Mechano-acoustic sensorVibration, ECGHeart murmurs[29]
Resistance-based sensorElectric resistanceBody temperature[30]
2D materials-based sensorElectric resistanceHumidity[32]
PhotosensorConductivityUV exposure[34]
Piezoelectric sensorDeformation of
elastomer		Elastic modulus[35]
Electrochemical biosensorsConductivityGlucose level[38,39,40]
Electrochemical biosensorsConductivityLactate level[42,43]
Electrochemical biosensorsConductivityCholesterol level[44]
Electrochemical biosensorsConductivityTriglycerides level[44,45]
Potentiometric ion sensorsConductivityNa+, Cl−, K+ levels[50,52]
Potentiometric ion sensorsConductivityNH4+, Ca2+ levels[51]
Electrochemical square wave anodic stripping voltammetryConductivityHeavy metals[53]
Potentiometric ion sensors/
Impedancemetric sensors		Conductivity/
Capacitance		pH value (H+ level)[56,57]
Electrochemical biosensorsConductivityUric acid, lactate
Levels		[58,59]
Fluorescence sensorLuminescenceOxygen level[60]
Electrochemical biosensorsConductivityCytokines/interleukins [61]

4. DDSs in Therapeutic Components

For personalized healthcare and medicine, not only smart sensor systems but smart therapeutic components must be included in the wearable patch systems. Conventional passive and diffusive DDSs (first generation of TDDSs) on the skin are always in an operational state of drug release, regardless of normal or abnormal body conditions, which limits their applications owing to side effects [9]. However, drug release from smart DDSs based on stimuli-responsive drug carriers can be activated in abnormal body conditions and suppressed when body signals are normal, enabling personalized therapy [62]. Stimuli for triggering drug release can be categorized as external stimuli (e.g., temperature, light, electrical stimulations, ultrasound, and strain) or physiological signals (e.g., pH, hypoxia, and biomolecules) [23,62]. The various stimuli-responsive carriers used in smart wearable patch systems are listed in Table 3.

4.1. Stimuli-Responsive Carriers in the DDSs

4.1.1. Thermoresponsive Carriers

Heat is one of the most widely used stimuli in smart DDSs and wearable patch systems. By increasing the temperature using a heat controller, thermoresponsive carriers can be degraded and dissociated, thereby triggering the release of encapsulated therapeutics [63]. Poly(N-isopropylacrylamide) (NIPAM)-based hybrid microparticles have been used as a thermoresponsive carrier [64]. Cefazolin and vancomycin as antibiotics were encapsulated in the microparticles, which were then dispersed into hydrogels loaded with vascular endothelial growth factor (VEGF) to treat skin wounds. The therapeutic systems containing these thermoresponsive drug carriers were fabricated in the form of functional threads with a heat stimulator. The release of loaded drugs increased significantly as the temperature increased, thereby enhancing the drug efficacy. Additionally, the release of cefazolin increased to a large slope at 42 °C (when the heat stimulator was turned on), whereas it was nearly stopped when the heat stimulator was turned off (at 32 °C; intact skin temperature). Thus, controlled and remote on/off drug release can be achieved using NIPAM-based wearable systems. Moreover, microneedles coated with a phase-change material (PCM) have been used as a thermoresponsive carrier [65]. Polyvinyl pyrrolidone-based microneedles containing metformin as an anti-diabetic agent were coated with tridecanoic acid as the PCM and layered with a thermal actuator. When the temperature is above the transition temperature of the PCM (approximately 42 °C), the coated PCM melts, and the loaded drug is released from the dissolving microneedles. In a diabetic mouse model, application of the PCM-coated microneedles resulted in enhanced drug release and a significant reduction in blood glucose levels when the thermal actuator was turned on.

4.1.2. Light-Responsive Carriers

Light (NIR, visible, and UV) is also a widely used stimulus in smart DDSs because of its photothermal effect. This effect causes the melting of drug carriers, the alteration of their volume, or the electronic conversion from hydrophobic state to hydrophilic state in the carriers [62]. Polycaprolactone (PCL) microneedles containing lanthanum hexaboride (LaB6) nanoparticles as photosensitizers have been developed to achieve NIR-triggered drug release behavior [66]. When NIR light was applied, the emission of heat from LaB6 caused the microneedles to melt, resulting in an on-off release of the encapsulated drug. This indicated a remarkable anti-cancer effect in mouse models bearing tumors in the skin layer. NIPAM-co-vinyl-2-pyrrolidinone (NIPAM-VP) beads containing magnetite nanoparticles (MNPs) as photosensitizers shrank because heat from the MNPs was delivered to the beads above their lower critical solution temperature (40 °C) when visible light was applied [67]. Unique release profiles depending on visible light irradiation were successfully achieved, thereby enabling on-demand and remotely controlled TDDSs. UV- and dark-triggered on-demand drug release and encapsulation were achieved using porous ZnO nanoparticles [68]. During UV-off (the dark state), the sunscreen drug was encapsulated into the ZnO nanoparticles owing to the enhanced hydrophobic interactions between the nanoparticles and the drug. When UV light was applied, the hydrophilicity of the nanoparticles increased, triggering the rapid release of the encapsulated drug.

4.1.3. Electrically Activated Systems

Electrical stimuli, such as iontophoresis, can enhance drug release and skin penetration through charge–charge repulsion between loaded drugs and electrodes [5]. Additionally, these electrically activated systems can be easily connected to sensing components and/or thermal actuators [62]. Mesoporous silica (m-SiO2) nanoparticles have been used as drug carriers, which can provide large drug absorption and prevent an initial burst and undesirable drug release [69]. When iontophoresis was applied, the binding force between the encapsulated doxorubicin and the nanoparticles weakened, resulting in enhanced drug release and skin penetration by electrical repulsion. Moreover, iontophoresis-driven porous microneedles containing insulin were developed for enhanced systemic absorption of encapsulated insulin in diabetic rats, which was attributed to electrical repulsion and SC layer penetration by the microneedle itself [70].

4.1.4. Mechanical Force-Responsive Carriers

Some smart wearable patch systems utilize mechanical forces such as compression, stretching/bending forces, and ultrasound waves to trigger and enhance drug release at joint positions or in skin cancer [62,71]. Doxorubicin-, ciprofloxacin-, or insulin-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles were dispersed in alginate microgel depots, which were half-embedded in the elastomer layer [13]. Applying stretching/bending forces and repeating the cycle promoted the release of encapsulated drugs. Additionally, this carrier can be retrieved reversibly, thereby reducing drug release when the tensile strain disappears. PLGA microplates containing curcumin were developed for the ultrasound-triggered release of curcumin [72]. These microplate systems can be combined with smart wearable patches including ultrasonic actuators to treat cancer. Insulin-loaded PLGA nanocapsules were coated with chitosan for on-demand pulsatile insulin release by ultrasound [73]. Rapid release of encapsulated insulin occurred when ultrasound was applied, whereas the release was reduced and the insulin remained within the nanocapsules when the ultrasound was turned off.

4.1.5. Physiological Signal-Responsive Carriers

Smart drug carriers responsive to physiological signals, such as pH, glucose, hypoxia, and enzymes, can be utilized as targeted DDSs applied to the skin for specific diseases, including skin wounds, skin cancer, and metabolic diseases [62]. Silica nanoparticles with outer-coated shells have been fabricated for specific drug release in infected wounds [74]. When the pH value increases to a slightly basic level because of bacterial growth in skin wounds, silane derivatives in the outer shell of the nanoparticles dissolve, releasing an encapsulated disinfectant agent into the wounds. In the cancer microenvironment, glucose levels can be elevated, and the pH is slightly acidic due to the abnormal growth of cancer cells [75,76]. Microneedles containing alginiate-coated dextran nanoparticles loaded with glucose oxidase have been developed for glucose-responsive and pH-triggered drug release to exhibit immunotherapy against skin cancer [77]. Elevated glucose in the lesion reacts with glucose oxidase in the particles, generating gluconic acid as an acidic product. This acidic product and the acidic pH in the lesion can dissociate acid-degradable dextran nanoparticles, thereby triggering the release of encapsulated anti-PD-1 into skin cancer. Additionally, microneedles containing 2-nitroimidazole (NI)-conjugated hyaluronic acid (HA) nanovesicles loaded with glucose oxidase have been developed for glucose-responsive and hypoxia-triggered drug release in diabetes [78]. In hyperglycemia, elevated glucose reacts with glucose oxidase in the particles, resulting in oxygen depletion. This hypoxic condition can cause structural changes in the hydrophobic NI chains to hydrophilic chains, thereby dissociating the nanovesicles and promoting the release of encapsulated insulin. Abnormally elevated thrombi in the blood and adjacent tissues can cause vascular occlusion and cardiovascular and cerebrovascular diseases [79]. For the treatment of thrombotic diseases, anticoagulants, including heparin, must be repeatedly administered, although the overdose can cause bleeding or hemorrhage, leading to fatal consequences [80]. Microneedles containing thrombin-cleavable peptide–heparin conjugates have been developed as thrombin-responsive, on-demand smart drug carriers [81]. Thrombin-cleavable peptides were utilized as linkers between the heparin and HA chains. In the presence of activated thrombin, the linker peptide can be cleaved, promoting the release of conjugated heparin. The pulsatile release of heparin from the prepared microneedles was confirmed, depending on the presence or absence of activated thrombin.
Table
Table 3. Various DDSs based on stimuli-responsive carriers in smart wearable systems.
Table 3. Various DDSs based on stimuli-responsive carriers in smart wearable systems.
Type of DDSsTriggering StimuliTherapeuticsReference
Hybrid microparticles
in hydrogel		HeatCefazolin and
vancomycin		[64]
PCM-coated microneedlesHeatMetformin[65]
PCL microneedles containing LaB6 NIR lightDoxorubicin[66]
MNP-containing
NIPAM-VP beads in hydrogel		Vis lightDexamethasone[67]
Porous ZnO nanoparticlesUV lightBenzophenono-3[68]
m-SiO2 nanoparticlesIontophoresisDoxorubicin[69]
Porous microneedleIontophoresisInsulin[70]
PLGA nanoparticles
in alginate microgel depots		Stretching forceDoxorubicin, ciprofloxacin, and insulin[13]
PLGA microplateUltrasoundCurcumin[72]
Chitosan-coated PLGA nanocapsulesUltrasoundInsulin[73]
Silica nanoparticles coated with silane derivativespHChlorhexidine[74]
HA Microneedle containing
alginiate-coated dextran nanoparticles loaded with glucose oxidase		Glucose & pHAnti-PD-1[77]
Microneedle containing HA-NI nanovesicles loaded with
glucose oxidase		Glucose & hypoxiaInsulin[78]
HA microneedle containing thrombin-cleavable peptide–heparin conjugates ThrombinHeparin[81]

4.2. Fully Integrated Smart Wearable Patch Systems

The establishment of personalized healthcare and therapy requires smart wearable patch systems that can monitor various signals and biomarkers in real time, accurately control the drug release, and provide feedback. Thus, these closed-loop, on-demand, fully integrated smart patch systems (the fourth generation of TDDSs) consist of a sensing component to monitor various parameters and determine individual health states or disease progression and a DDS component to provide personalized feedback and therapy [18]. Examples of fully integrated smart wearable patch systems, including sensing and DDS components for personalized therapy, are summarized in Table 4.
An Au/Pt-based electrochemical wearable patch with a thermoresponsive PCM-coated microneedle has been reported for the monitoring and treatment of diabetes [14]. The patch system consists of three components: a sweat-uptake component, a sensing component (glucose, humidity, pH, and temperature sensors), and a therapeutic component (heater and PCM-coated microneedle). The high glucose levels, monitored from sweat, can generate heat, which leads to the melting of the thermoresponsive microneedle, thereby releasing metformin into the bloodstream. In a diabetic mouse model treated with the wearable patch system, a significant decrease in blood glucose levels (p < 0.01) was confirmed compared to the ‘no patch’ group. A polyimide-based electrical wearable patch with UV-responsive hydrogels has been developed for monitoring and treating infected wounds [82]. The patch system consisted of two components: a sensing component (temperature sensor) and a therapeutic component (UV-LED and hydrogel containing UV-cleavable linker-gentamicin conjugates). The elevated temperature caused by the electrical stimulus in the skin wounds can generate UV light, which cleaves the linkage and releases gentamicin into the infected wounds. In a wound infection mini pig model treated with the wearable patch system, significant inhibition of bacterial growth (p < 0.05) was confirmed compared to the ‘no UV light’ group. A TiO2/Si nanomembrane-based electrical wearable patch with thermoresponsive m-SiO2 nanoparticles has been reported for the monitoring and treatment of Parkinson’s disease [83]. The patch system consists of two components: a sensing component (strain and temperature sensors) and a therapeutic component (heater and m-SiO2 nanoparticles). Abnormal muscle strains such as tremors are monitored by sensor and generate heat, which weakens the bonding between the drug and the nanoparticles, thereby releasing anti–Parkinson’s disease agents into the bloodstream. In pig skin, deeper penetration of rhodamine B dye was confirmed when the wearable patch system was applied compared to the ‘no heating’ group. Additionally, a conductive silk fibroin hydrogel-based electrical wearable patch with a visible light–triggered, thermoresponsive hydrogel loaded with papain and gold nanoparticles has been reported for the monitoring and treatment of epilepsy [84]. The patch system consists of two components: a sensing component (strain sensor) and a therapeutic component (visible LED and silk fibroin hydrogel loaded with papain and gold nanoparticles). The detection of epilepsy by the sensor leads to the generation of visible light, resulting in the emission of heat from the gold nanoparticles and the activation of the papain enzyme, thereby releasing encapsulated phenobarbital into the bloodstream. In an epilepsy-induced rat model, the wearable patch system provided distinctive alleviation of epileptic convulsions compared to the ‘no visible light’ group. Moreover, a self-powered, triboelectric nanogenerator-based wearable patch with an iontophoresis-activated hydrogel has been developed for the monitoring of walking motion and treatment of joint injuries [85]. The patch system consists of two components: a sensing component (strain sensor and nanogenerator) and a therapeutic component (iontophoretic electrodes and poloxamer hydrogel). The detection of walking motion in the ankle by the sensor generates the electricity, which can be used as a power source for iontophoresis, resulting in the release of an encapsulated pain relief drug into the skin. In pig skin, deeper penetration of rhodamine 6G dye was confirmed when the wearable patch system was applied compared to the ‘no nanogenerator’ group.

5. Conclusions and Remarks for Future Research

Smart wearable patch systems integrated with sensors and therapeutic components can enable personal healthcare and medicine by monitoring various physical and biochemical parameters in real time and exhibiting on-demand closed-loop drug release. Thus, these self-administrable, noninvasive, user-friendly, and long-acting smart wearable patch systems combining biosensors and stimuli-responsive carrier-based DDSs can lead to the advent of a new era of healthcare platforms.
However, several aspects must be addressed before the clinical application of these patch systems. The first concern is drug loading and reloading steps in the patch systems. Despite the use of a wearable patch system, macromolecules such as protein drugs, nucleic acids, and antibodies are still not suitable for transdermal delivery because of the presence of the SC barrier. High drug loading into the patch is also challenging because of the limited patch size, which can affect patient comfort and movement. Recently, these drug loading issues may be solved using a microneedle that can perforate the SC barrier and deliver macromolecules directly to the dermis. Moreover, a 3D printing method may enable higher, efficient, and reproducible drug loading.
In addition, since TDDS requires long-term use and continuous application, drug reloading into therapeutic components or the exchange of drug layers or whole patch systems needs to be thoroughly addressed. This drug-reloading process may affect patient compliance and the cost of the patch systems. Since drug reloading into the components is not a feasible process, the exchange of drug layers or whole patch systems should be considered for their long-term use. From this perspective, 3D printing technology can lead to a manufacturing revolution. This is because the technology enables reproducible mass production, which will result in a decrease in the prices of the smart wearable patches.
Another challenge is the lack of studies focusing on the long-term toxicity, long-term stability, and accuracy of sensing and drug release/delivery. The biocompatibility of the patch systems containing various components such as sensors, supporting substrate, adhesive film, flexible circuit, actuator components, therapeutic systems, and power supply and the possibility of skin irritation, local inflammatory response, or infection at patch system–applied sites (skin or epidermal/dermal tissues) should be evaluated during long-term use. However, issues related to biocompatibility and skin-related side effects may be expected not to be significant problems because numerous materials suitable for biocompatibility have been researched so far. In the case of microneedles, they can potentially cause inflammation and immune reactions as they penetrate the SC and directly reach the dermis. However, since they have entered many clinical trials (mainly vaccine formulations), it can be said that the biocompatibility of microneedle materials has been validated. Nevertheless, further research is needed to investigate any potential side effects that may arise from the long-term application of microneedles for continuous health monitoring and treatment.
Long-term stability issues must be addressed in terms of drug stability following repeated exposure to various stimuli (i.e., temperature, electricity, and NIR/UV/vis light). The stability of the various components of patch systems with repeated movements and exposure to light must also be evaluated in terms of their performance changes and their detachment from the supporting substrate or skin. Despite extensive studies on wearable sensors, the accurate detection of various signals and biomarkers from the skin remains questionable because of lower limit of quantification (LLOQ) of the biosensors and the variability in the normal range of physiological parameters in different subjects. In addition, inaccurate sensing against normal or abnormal physiological parameters can cause failure of drug release from closed-loop DDS-based therapeutic components, resulting in therapeutic failure and unwanted side effects. However, it is expected that recently researched aptamer-based biosensors will overcome the issues related to accuracy and sensitivity of detection. The advantages of aptamers in smart biosensors compared to antibodies are their higher affinity to analytes; higher stability against changes in pH, temperature, and salt; reproducibility and accurate mass production; and ease of functionalization [86]. For these reasons, aptamer-based biosensors and smart wearable patch systems incorporating them are emerging as a promising technology for point-of-care testing (POCT), point-of-care diagnostics (POCD), and personalized healthcare platforms.
Furthermore, smart wearable patch systems are designed for personalized medicine; hence, they have limitations in terms of largescale fabrication. However, recent developments in nano-imprinting and 3D printing techniques that can be used to fabricate sensors, circuits, actuators, and therapeutic components (such as microneedles) can lead to improvements in their largescale fabrication, performance reproducibility, and cost-effectiveness.

Author Contributions

Conceptualization, B.K., B.L. and K.-T.K.; investigation, B.K. and K.-T.K.; writing—original draft preparation, B.K. and K.-T.K.; writing—review and editing, B.L. and K.-T.K.; funding acquisition, K.-T.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by Research Funds of Mokpo National University in 2019.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

DDSs: drug delivery systems; SC: stratum corneum; TDDSs: transdermal drug delivery systems; UV: ultraviolet; NIR: near-infrared; NIPAM: poly(N-isopropylacrylamide); m-SiO2: mesoporous silica; PLGA: poly(lactic-co-glycolic acid); UV/Vis: ultraviolet/visible; ECG: electrocardiogram; rGO: reduced graphene oxide; Au: gold; CNTs: carbon nanotubes; ZnO: zinc oxide; ISF: interstitial fluid; Na+: Sodium; Cl−: chloride; K+: potassium; Ca2+: calcium ions; NH4+: ammonium ions; Zn: zinc; Cu: copper; Cd: cadmium; Pb: lead; Hg: mercury; Bi: bismuth; TNF-α: tumor necrosis factor α; TGF-β: transforming growth factor β; ILs: interleukins; VEGF: vascular endothelial growth factor; PCM: phase-change material; PCL: polycaprolactone; LaB6: lanthanum hexaboride; NIPAM-VP: NIPAM-co-vinyl-2-pyrrolidinone; MNP: magnetite nanoparticles; NI: 2-nitroimidazole; HA: hyaluronic acid; LLOQ: lower limit of quantification; POCT: point-of-care testing; POCD: point-of-care diagnostics.

References

  1. Prausnitz, M.R.; Mitragotri, S.; Langer, R. Current status and future potential of transdermal drug delivery. Nat. Rev. Drug Discov. 2004, 3, 115–124. [Google Scholar] [CrossRef] [PubMed]
  2. Roig-Rosello, E.; Rousselle, P. The human epidermal basement membrane: A shaped and cell instructive platform that aging slowly alters. Biomolecules 2020, 10, 1607. [Google Scholar] [CrossRef] [PubMed]
  3. Prausnitz, M.R.; Langer, R. Transdermal drug delivery. Nat. Biotechnol. 2008, 26, 1261–1268. [Google Scholar] [CrossRef] [PubMed]
  4. Akiyama, M. Corneocyte lipid envelope (CLE), the key structure for skin barrier function and ichthyosis pathogenesis. J. Dermatol. Sci. 2017, 88, 3–9. [Google Scholar] [CrossRef] [PubMed]
  5. Kim, K.T.; Lee, J.; Kim, M.H.; Park, J.H.; Lee, J.Y.; Song, J.H.; Jung, M.; Jang, M.H.; Cho, H.J.; Yoon, I.S.; et al. Novel reverse electrodialysis-driven iontophoretic system for topical and transdermal delivery of poorly permeable therapeutic agents. Drug Deliv. 2017, 24, 1204–1215. [Google Scholar] [CrossRef]
  6. Pandey, K.U.; Joshi, A.; Dalvi, S.V. Evaluating the efficacy of different curcumin polymorphs in transdermal drug delivery. J. Pharm. Investig. 2021, 51, 75–84. [Google Scholar] [CrossRef]
  7. Jung, J.H.; Jin, S.G. Microneedle for transdermal drug delivery: Current trends and fabrication. J. Pharm. Investig. 2021, 51, 503–517. [Google Scholar] [CrossRef]
  8. Kaul, S.; Jain, N.; Nagaich, U. Ultra deformable vesicles for boosting transdermal delivery of 2-arylpropionic acid class drug for management of musculoskeletal pain. J. Pharm. Investig. 2022, 52, 217–231. [Google Scholar] [CrossRef]
  9. Lee, H.; Song, C.; Baik, S.; Kim, D.; Hyeon, T.; Kim, D.H. Device-assisted transdermal drug delivery. Adv. Drug Deliv. Rev. 2018, 127, 35–45. [Google Scholar] [CrossRef]
  10. Guk, K.; Han, G.; Lim, J.; Jeong, K.; Kang, T.; Lim, E.K.; Jung, J. Evolution of wearable devices with real-time disease monitoring for personalized healthcare. Nanomaterials 2019, 9, 813. [Google Scholar] [CrossRef]
  11. Xu, C.; Yang, Y.; Gao, W. Skin-interfaced sensors in digital medicine: From materials to applications. Matter 2020, 2, 1414–1445. [Google Scholar] [CrossRef]
  12. Manikkath, J.; Subramony, J.A. Toward closed-loop drug delivery: Integrating wearable technologies with transdermal drug delivery systems. Adv. Drug Deliv. Rev. 2021, 179, 113997. [Google Scholar] [CrossRef] [PubMed]
  13. Di, J.; Yao, S.; Ye, Y.; Cui, Z.; Yu, J.; Ghosh, T.K.; Zhu, Y.; Gu, Z. Stretch-triggered drug delivery from wearable elastomer films containing therapeutic depots. ACS Nano 2015, 9, 9407–9415. [Google Scholar] [CrossRef] [PubMed]
  14. Lee, H.; Song, C.; Hong, Y.S.; Kim, M.S.; Cho, H.R.; Kang, T.; Shin, K.; Choi, S.H.; Hyeon, T.; Kim, D.H. Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module. Sci. Adv. 2017, 3, 1601314. [Google Scholar] [CrossRef] [PubMed]
  15. Yu, J.; Qian, C.; Zhang, Y.; Cui, Z.; Zhu, Y.; Shen, Q.; Ligler, F.S.; Buse, J.B.; Gu, Z. Hypoxia and H2O2 dual-sensitive vesicles for enhanced glucose-responsive insulin delivery. Nano Lett. 2017, 17, 733–739. [Google Scholar] [CrossRef] [PubMed]
  16. Takei, K.; Honda, W.; Harada, S.; Arie, T.; Akita, S. Toward flexible and wearable human-interactive health-monitoring devices. Adv. Healthc. Mater. 2015, 4, 487–500. [Google Scholar] [CrossRef] [PubMed]
  17. Ouyang, Q.; Feng, X.; Kuang, S.; Panwar, N.; Song, P.; Yang, C.; Yang, G.; Hemu, X.; Zhang, G.; Yoon, H.S.; et al. Self-powered, on-demand transdermal drug delivery system driven by triboelectric nanogenerator. Nano Energy 2019, 62, 610–619. [Google Scholar] [CrossRef]
  18. Kar, A.; Ahamad, N.; Dewani, M.; Awasthi, L.; Patil, R.; Banerjee, R. Wearable and implantable devices for drug delivery: Applications and challenges. Biomaterials 2022, 283, 121435. [Google Scholar] [CrossRef]
  19. Vodička, S.; Susič, A.P.; Zelko, E. Implementation of a Savvy Mobile ECG Sensor for heart rhythm disorder screening at the primary healthcare level: An observational prospective study. Micromachines 2021, 12, 55. [Google Scholar] [CrossRef]
  20. Moyen, N.E.; Bapat, R.C.; Tan, B.; Hunt, L.A.; Jay, O.; Mündel, T. Accuracy of algorithm to non-invasively predict core body temperature using the Kenzen wearable device. Int. J. Environ. Res. Public Health 2021, 18, 13126. [Google Scholar] [CrossRef]
  21. Shi, Y.; Manco, M.; Moyal, D.; Huppert, G.; Araki, H.; Banks, A.; Joshi, H.; McKenzie, R.; Seewald, A.; Griffin, G.; et al. Soft, stretchable, epidermal sensor with integrated electronics and photochemistry for measuring personal UV exposures. PLoS ONE 2018, 13, 0190233. [Google Scholar] [CrossRef] [PubMed]
  22. Cappon, G.; Vettoretti, M.; Sparacino, G.; Facchinetti, A. Continuous glucose monitoring sensors for diabetes management: A review of technologies and applications. Diabetes Metab. J. 2019, 43, 383–397. [Google Scholar] [CrossRef] [PubMed]
  23. Ma, Z.; Li, S.; Wang, H.; Cheng, W.; Li, Y.; Pan, L.; Shi, Y. Advanced electronic skin devices for healthcare applications. J. Mater. Chem. B 2019, 7, 173–197. [Google Scholar] [CrossRef] [PubMed]
  24. Bariya, M.; Nyein, H.Y.Y.; Javey, A. Wearable sweat sensors. Nat. Electron. 2018, 1, 160–171. [Google Scholar] [CrossRef]
  25. Trung, T.Q.; Lee, N.E. Flexible and stretchable physical sensor integrated platforms for wearable human-activity monitoring and personal healthcare. Adv. Mater. 2016, 28, 4338–4372. [Google Scholar] [CrossRef]
  26. Xu, S.; Zhang, Y.; Jia, L.; Mathewson, K.E.; Jang, K.I.; Kim, J.; Fu, H.; Huang, X.; Chava, P.; Wang, R.; et al. Soft microfluidic assemblies of sensors, circuits, and radios for the skin. Science 2014, 344, 70–74. [Google Scholar] [CrossRef]
  27. Wang, T.; Yang, H.; Qi, D.; Liu, Z.; Cai, P.; Zhang, H.; Chen, X. Mechano-based transductive sensing for wearable healthcare. Small 2018, 14, 1702933. [Google Scholar] [CrossRef]
  28. Dong, K.; Wu, Z.; Deng, J.; Wang, A.C.; Zou, H.; Chen, C.; Hu, D.; Gu, B.; Sun, B.; Wang, Z.L. A stretchable yarn embedded triboelectric nanogenerator as electronic skin for biomechanical energy harvesting and multifunctional pressure sensing. Adv. Mater. 2018, 30, 1804944. [Google Scholar] [CrossRef]
  29. Liu, Y.; Norton, J.J.; Qazi, R.; Zou, Z.; Ammann, K.R.; Liu, H.; Yan, L.; Tran, P.L.; Jang, K.I.; Lee, J.W.; et al. Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. Sci. Adv. 2016, 2, 1601185. [Google Scholar] [CrossRef]
  30. Webb, R.C.; Bonifas, A.P.; Behnaz, A.; Zhang, Y.; Yu, K.J.; Cheng, H.; Shi, M.; Bian, Z.; Liu, Z.; Kim, Y.S.; et al. Ultrathin conformal devices for precise and continuous thermal characterization of human skin. Nat. Mater. 2013, 12, 938–944. [Google Scholar] [CrossRef]
  31. Trung, T.Q.; Le, H.S.; Dang, T.M.L.; Ju, S.; Park, S.Y.; Lee, N.E. Freestanding, fiber-based, wearable temperature sensor with tunable thermal index for healthcare monitoring. Adv. Healthc. Mater. 2018, 7, 1800074. [Google Scholar] [CrossRef] [PubMed]
  32. Shevate, R.; Haque, M.A.; Akhtar, F.H.; Villalobos, L.F.; Wu, T.; Peinemann, K.V. Embedding 1D conducting channels into 3D isoporous polymer films for high-performance humidity sensing. Angew. Chem. 2018, 57, 11218–11222. [Google Scholar] [CrossRef] [PubMed]
  33. Lee, J.; Jeon, S.; Seo, H.; Lee, J.T.; Park, S. Fiber-based sensors and energy systems for wearable electronics. Appl. Sci. 2021, 11, 531. [Google Scholar] [CrossRef]
  34. Lee, H.J.; Hong, W.G.; Yang, H.Y.; Ha, D.H.; Jun, Y.; Yun, Y.J. A wearable patch based on flexible porous reduced graphene oxide paper sensor for real-time and continuous ultraviolet radiation monitoring. Adv. Mater. Technol. 2022, 7, 2100709. [Google Scholar] [CrossRef]
  35. Dagdeviren, C.; Shi, Y.; Joe, P.; Ghaffari, R.; Balooch, G.; Usgaonkar, K.; Gur, O.; Tran, P.L.; Crosby, J.R.; Meyer, M.; et al. Conformal piezoelectric systems for clinical and experimental characterization of soft tissue biomechanics. Nat. Mater. 2015, 14, 728–736. [Google Scholar] [CrossRef]
  36. Liu, Y.; Pharr, M.; Salvatore, G.A. Lab-on-skin: A review of flexible and stretchable electronics for wearable health monitoring. ACS Nano 2017, 11, 9614–9635. [Google Scholar] [CrossRef]
  37. Li, L.; Pan, L.; Ma, Z.; Yan, K.; Cheng, W.; Shi, Y.; Yu, G. All inkjet-printed amperometric multiplexed biosensors based on nanostructured conductive hydrogel electrodes. Nano Lett. 2018, 18, 3322–3327. [Google Scholar] [CrossRef]
  38. Lipani, L.; Dupont, B.G.R.; Doungmene, F.; Marken, F.; Tyrrell, R.M.; Guy, R.H.; Ilie, A. Non-invasive, transdermal, path-selective and specific glucose monitoring via a graphene-based platform. Nat. Nanotechnol. 2018, 13, 504–511. [Google Scholar] [CrossRef]
  39. Oh, S.Y.; Hong, S.Y.; Jeong, Y.R.; Yun, J.; Park, H.; Jin, S.W.; Lee, G.; Oh, J.H.; Lee, H.; Lee, S.S.; et al. Skin-attachable, stretchable electrochemical sweat sensor for glucose and pH detection. ACS Appl. Mater. Interfaces 2018, 10, 13729–13740. [Google Scholar] [CrossRef]
  40. Dervisevic, M.; Alba, M.; Yan, L.; Senel, M.; Gengenbach, T.R.; Prieto-Simon, B.; Voelcker, N.H. Transdermal electrochemical monitoring of glucose via high-density silicon microneedle array patch. Adv. Funct. Mater. 2022, 32, 2270022. [Google Scholar] [CrossRef]
  41. Bollella, P.; Sharma, S.; Cass, A.E.G.; Antiochia, R. Microneedle-based biosensor for minimally-invasive lactate detection. Biosens. Bioelectron. 2019, 123, 152–159. [Google Scholar] [CrossRef]
  42. Gao, W.; Emaminejad, S.; Nyein, H.Y.Y.; Challa, S.; Chen, K.; Peck, A.; Fahad, H.M.; Ota, H.; Shiraki, H.; Kiriya, D.; et al. Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature 2016, 529, 509–514. [Google Scholar] [CrossRef]
  43. Tur-García, E.L.; Davis, F.; Collyer, S.D.; Holmes, J.L.; Barr, H.; Higson, S.P.J. Novel flexible enzyme laminate-based sensor for analysis of lactate in sweat. Sens. Actuators B Chem. 2017, 242, 502–510. [Google Scholar] [CrossRef]
  44. Nantaphol, S.; Chailapakul, O.; Siangproh, W. A novel paper-based device coupled with a silver nanoparticle-modified boron-doped diamond electrode for cholesterol detection. Anal. Chim. Acta 2015, 891, 136–143. [Google Scholar] [CrossRef] [PubMed]
  45. Li, L.; Wang, Y.; Pan, L.; Shi, Y.; Cheng, W.; Shi, Y.; Yu, G. A nanostructured conductive hydrogels-based biosensor platform for human metabolite detection. Nano Lett. 2015, 15, 1146–1151. [Google Scholar] [CrossRef]
  46. Parrilla, M.; Cánovas, R.; Jeerapan, I.; Andrade, F.J.; Wang, J. A textile-based stretchable multi-ion potentiometric sensor. Adv. Healthc. Mater. 2016, 5, 996–1001. [Google Scholar] [CrossRef]
  47. Nyein, H.Y.; Gao, W.; Shahpar, Z.; Emaminejad, S.; Challa, S.; Chen, K.; Fahad, H.M.; Tai, L.C.; Ota, H.; Davis, R.W.; et al. A wearable electrochemical platform for noninvasive simultaneous monitoring of Ca2+ and pH. ACS Nano 2016, 10, 7216–7224. [Google Scholar] [CrossRef] [PubMed]
  48. Guinovart, T.; Bandodkar, A.J.; Windmiller, J.R.; Andrade, F.J.; Wang, J. A potentiometric tattoo sensor for monitoring ammonium in sweat. Analyst. 2013, 138, 7031–7038. [Google Scholar] [CrossRef]
  49. Mudgal, V.; Mandaan, N.; Mudgal, A.; Singh, R.B.; Mishra, S. Effect of toxic metals on human health. Open Nutraceuticals J. 2010, 3, 94–99. [Google Scholar] [CrossRef]
  50. Parrilla, M.; Ortiz-Gómez, I.; Cánovas, R.; Salinas-Castillo, A.; Cuartero, M.; Crespo, G.A. Wearable potentiometric ion patch for on-body electrolyte monitoring in sweat: Toward a validation strategy to ensure physiological relevance. Anal. Chem. 2019, 91, 8644–8651. [Google Scholar] [CrossRef]
  51. Keene, S.T.; Fogarty, D.; Cooke, R.; Casadevall, C.D.; Salleo, A.; Parlak, O. Wearable organic electrochemical transistor patch for multiplexed sensing of calcium and ammonium ions from human perspiration. Adv. Healthc. Mater. 2019, 8, 1901321. [Google Scholar] [CrossRef] [PubMed]
  52. Emaminejad, S.; Gao, W.; Wu, E.; Davies, Z.A.; Yin Yin Nyein, H.; Challa, S.; Ryan, S.P.; Fahad, H.M.; Chen, K.; Shahpar, Z.; et al. Autonomous Sweat Extraction and Analysis Applied to Cystic Fibrosis and Glucose Monitoring Using a Fully Integrated Wearable Platform. Proc. Natl. Acad. Sci. USA 2017, 114, 4625–4630. [Google Scholar] [CrossRef] [PubMed]
  53. Gao, W.; Nyein, H.Y.Y.; Shahpar, Z.; Fahad, H.M.; Chen, K.; Emaminejad, S.; Gao, Y.; Tai, L.C.; Ota, H.; Wu, E.; et al. Wearable microsensor array for multiplexed heavy metal monitoring of body fluids. ACS Sens. 2016, 1, 866–874. [Google Scholar] [CrossRef]
  54. Pusta, A.; Tertiș, M.; Cristea, C.; Mirel, S. Wearable sensors for the detection of biomarkers for wound infection. Biosensors 2021, 12, 1. [Google Scholar] [CrossRef]
  55. Mannello, F.; Ligi, D.; Canale, M.; Raffetto, J.D. Omics profiles in chronic venous ulcer wound fluid: Innovative applications for translational medicine. Expert Rev. Mol. Diagn. 2014, 14, 737–762. [Google Scholar] [CrossRef]
  56. Mostafalu, P.; Tamayol, A.; Rahimi, R.; Ochoa, M.; Khalilpour, A.; Kiaee, G.; Yazdi, I.K.; Bagherifard, S.; Dokmeci, M.R.; Ziaie, B.; et al. Smart bandage for monitoring and treatment of chronic wounds. Small 2018, 14, 1703509. [Google Scholar] [CrossRef]
  57. Manjakkal, L.; Sakthivel, B.; Gopalakrishnan, N.; Dahiya, R. Printed flexible electrochemical pH sensors based on CuO nanorods. Sens. Actuators B Chem. 2018, 263, 50–58. [Google Scholar] [CrossRef]
  58. Sharifuzzaman, M.; Chhetry, A.; Zahed, M.A.; Yoon, S.H.; Park, C.I.; Zhang, S.; Barman, S.C.; Sharma, S.; Yoon, H.; Park, J.Y. Smart bandage with integrated multifunctional sensors based on MXene-functionalized porous graphene scaffold for chronic wound care management. Biosens. Bioelectron. 2020, 169, 112637. [Google Scholar] [CrossRef]
  59. Ashley, B.K.; Brown, M.S.; Park, Y.; Kuan, S.; Koh, A. Skin-inspired, open mesh electrochemical sensors for lactate and oxygen monitoring. Biosens. Bioelectron. 2019, 132, 343–351. [Google Scholar] [CrossRef]
  60. Ochoa, M.; Rahimi, R.; Zhou, J.; Jiang, H.; Yoon, C.K.; Maddipatla, D.; Narakathu, B.B.; Jain, V.; Oscai, M.M.; Morken, T.J.; et al. Integrated sensing and delivery of oxygen for next-generation smart wound dressings. Microsyst. Nanoeng. 2020, 6, 46. [Google Scholar] [CrossRef]
  61. Gao, Y.; Nguyen, D.T.; Yeo, T.; Lim, S.B.; Tan, W.X.; Madden, L.E.; Jin, L.; Long, J.Y.K.; Aloweni, F.A.B.; Liew, Y.J.A.; et al. A flexible multiplexed immunosensor for point-of-care in situ wound monitoring. Sci. Adv. 2021, 7, eabg9614. [Google Scholar] [CrossRef]
  62. Amjadi, M.; Sheykhansari, S.; Nelson, B.J.; Sitti, M. Recent advances in wearable transdermal delivery systems. Adv. Mater. 2018, 30, 1704530. [Google Scholar] [CrossRef]
  63. Mura, S.; Nicolas, J.; Couvreur, P. Stimuli-responsive nanocarriers for drug delivery. Nat. Mater. 2013, 12, 991–1003. [Google Scholar] [CrossRef] [PubMed]
  64. Mostafalu, P.; Kiaee, G.; Giatsidis, G.; Khalilpour, A.; Nabavinia, M.; Dokmeci, M.R.; Sonkusale, S.; Orgill, D.P.; Tamayol, A.; Khademhosseini, A. A textile dressing for temporal and dosage controlled drug delivery. Adv. Funct. Mater. 2017, 27, 1702399. [Google Scholar] [CrossRef]
  65. Lee, H.; Choi, T.K.; Lee, Y.B.; Cho, H.R.; Ghaffari, R.; Wang, L.; Choi, H.J.; Chung, T.D.; Lu, N.; Hyeon, T.; et al. A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy. Nat. Nanotechnol. 2016, 11, 566–572. [Google Scholar] [CrossRef] [PubMed]
  66. Chen, M.C.; Lin, Z.W.; Ling, M.H. Near-infrared light-activatable microneedle system for treating superficial tumors by combination of chemotherapy and photothermal therapy. ACS Nano 2016, 10, 93–101. [Google Scholar] [CrossRef]
  67. Kim, H.; Lee, H.; Seong, K.Y.; Lee, E.; Yang, S.Y.; Yoon, J. Visible light-triggered on-demand drug release from hybrid hydrogels and its application in transdermal patches. Adv. Healthc. Mater. 2015, 4, 2071–2077. [Google Scholar] [CrossRef]
  68. Huang, X.; Wang, X.; Wang, S.; Yang, J.; Zhong, L.; Pan, J. UV and dark-triggered repetitive release and encapsulation of benzophenone-3 from biocompatible ZnO nanoparticles potential for skin protection. Nanoscale 2013, 5, 5596–5601. [Google Scholar] [CrossRef]
  69. Choi, M.K.; Parl, O.K.; Choi, C.; Qiao, S.; Ghaffari, R.; Kim, J.; Lee, D.J.; Kim, M.; Hyun, W.; Kim, S.J.; et al. Cephalopod-inspired miniaturized suction cups for smart medical skin. Adv. Healthc. Mater. 2016, 5, 80–87. [Google Scholar] [CrossRef]
  70. Li, Y.; Yang, J.; Zheng, Y.; Ye, R.; Liu, B.; Huang, Y.; Zhou, W.; Jiang, L. Iontophoresis-driven porous microneedle array patch for active transdermal drug delivery. Acta Biomater. 2021, 121, 349–358. [Google Scholar] [CrossRef] [PubMed]
  71. Zhang, Y.; Yu, J.; Bomba, H.N.; Zhu, Y.; Gu, Z. Mechanical force-triggered drug delivery. Chem. Rev. 2016, 116, 12536–12563. [Google Scholar] [CrossRef] [PubMed]
  72. Sciurti, E.; Primavera, R.; Di Mascolo, D.; Rizzo, A.; Balena, A.; Padmanabhan, S.K.; Rizzi, F.; Decuzzi, P.; De Vittorio, M. Ultrasound-induced deformation of PLGA-micro Plates for on-command drug release. Microelectron. Eng. 2020, 229, 111360. [Google Scholar] [CrossRef]
  73. Di, J.; Yu, J.; Wang, Q.; Yao, S.; Suo, D.; Ye, Y.; Pless, M.; Zhu, Y.; Jing, Y.; Gu, Z. Ultrasound-triggered noninvasive regulation of blood glucose levels using microgels integrated with insulin nanocapsules. Nano Res. 2017, 10, 1393–1402. [Google Scholar] [CrossRef]
  74. Pan, F.; Giovannini, G.; Zhang, S.; Altenried, S.; Zuber, F.; Chen, Q.; Boesel, L.F.; Ren, Q. pH-responsive silica nanoparticles for the treatment of skin wound infections. Acta Biomater. 2022, 145, 172–184. [Google Scholar] [CrossRef]
  75. Gupta, B.; Kim, J.O. Recent progress in cancer immunotherapy approaches based on nanoparticle delivery devices. J. Pharm. Investig. 2021, 51, 399–412. [Google Scholar] [CrossRef]
  76. Haque, S.T.; Karim, M.E.; Othman, I.; Chowdhury, E.H. Mitigating off-target distribution and enhancing cytotoxicity in breast cancer cells with alpha-ketoglutaric acid-modified Fe/Mg-CA nanoparticles. J. Pharm. Investig. 2022, 52, 367–386. [Google Scholar]
  77. Wang, C.; Ye, Y.; Hochu, G.M.; Sadeghifar, H.; Gu, Z. Enhanced cancer immunotherapy by microneedle patch-assisted delivery of anti-PD1 antibody. Nano Lett. 2016, 16, 2334–2340. [Google Scholar] [CrossRef]
  78. Yu, J.; Zhang, Y.; Ye, Y.; Di Santo, R.; Sun, W.; Ranson, D.; Ligler, F.S.; Buse, J.B.; Gu, Z. Microneedle-array patches loaded with hypoxia-sensitive vesicles provide fast glucose-responsive insulin delivery. Proc. Natl. Acad. Sci. USA 2015, 112, 8260–8265. [Google Scholar] [CrossRef]
  79. Engelmann, B.; Massberg, S. Thrombosis as an intravascular effector of innate immunity. Nat. Rev. Immunol. 2013, 13, 34–45. [Google Scholar] [CrossRef]
  80. Canonico, M.E.; Santoro, C.; Avvedimento, M.; Giugliano, G.; Mandoli, G.E.; Prastaro, M.; Franzone, A.; Piccolo, R.; Ilardi, F.; Cameli, M.; et al. Venous thromboembolism and cancer: A comprehensive review from pathophysiology to novel treatment. Biomolecules 2022, 12, 259. [Google Scholar] [CrossRef]
  81. Zhang, Y.; Yu, J.; Wang, J.; Hanne, N.J.; Cui, Z.; Qian, C.; Wang, C.; Xin, H.; Cole, J.H.; Gallippi, C.M.; et al. Thrombin-responsive transcutaneous patch for auto-anticoagulant regulation. Adv. Mater. 2017, 29, 1604043. [Google Scholar] [CrossRef]
  82. Pang, Q.; Lou, D.; Li, S.; Wang, G.; Qiao, B.; Dong, S.; Ma, L.; Gao, C.; Wu, Z. Smart flexible electronics-integrated wound dressing for real-time monitoring and on-demand treatment of infected wounds. Adv. Sci. 2020, 7, 1902673. [Google Scholar] [CrossRef]
  83. Son, D.; Lee, J.; Qiao, S.; Ghaffari, R.; Kim, J.; Lee, J.E.; Song, C.; Kim, S.J.; Lee, D.J.; Jun, S.W.; et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nat. Nanotechnol. 2014, 9, 397–404. [Google Scholar] [CrossRef] [PubMed]
  84. Zhang, S.; Zhou, Z.; Zhong, J.; Shi, Z.; Mao, Y.; Tao, T.H. Body-integrated, enzyme-triggered degradable, silk-based mechanical sensors for customized health/fitness monitoring and in situ treatment. Adv. Sci. 2020, 7, 1903802. [Google Scholar] [CrossRef] [PubMed]
  85. Wu, C.; Jiang, P.; Li, W.; Guo, H.; Wang, J.; Chen, J.; Prausnitz, M.R.; Wang, Z.L. Self-powered iontophoretic transdermal drug delivery system driven and regulated by biomechanical motions. Adv. Funct. Mater. 2020, 30, 1907378. [Google Scholar] [CrossRef]
  86. Aslan, Y.; Atabay, M.; Chowdhury, H.K.; Göktürk, I.; Saylan, Y.; Inci, F. Aptamer-based point-of-care devices: Emerging technologies and integration of computational methods. Biosensors 2023, 13, 569. [Google Scholar] [CrossRef]
Biomolecules 13 00929 g001 550
Figure 1. Schematic diagram of the main components of smart wearable patch system enabling per- sonalized healthcare (NIPAM: poly(N-isopropylacrylamide); m-SiO2: mesoporous silica; PLGA: poly(lactic-co-glycolic acid); UV/Vis: ultraviolet/visible; NIR: near-infrared).
Figure 1. Schematic diagram of the main components of smart wearable patch system enabling per- sonalized healthcare (NIPAM: poly(N-isopropylacrylamide); m-SiO2: mesoporous silica; PLGA: poly(lactic-co-glycolic acid); UV/Vis: ultraviolet/visible; NIR: near-infrared).
Biomolecules 13 00929 g001
Table
Table 1. Examples of commercial smart wearable patch systems for healthcare applications.
Table 1. Examples of commercial smart wearable patch systems for healthcare applications.
Commercial Product NameMonitoringDiseaseReference
Savvy patch ECG sensorElectorcardiogram (ECG)Heart rhythm
disorder		[19]
Kenzen wearable deviceHeart rate,
Body temperature		Heat illness[20]
MY UV PatchUV exposureUV-derived diseases
(i.e., photoaging)		[21]
Freestyle LibreGlucoseDiabetes[22]
Dexcom G6
Table
Table 4. Fully integrated smart wearable patch systems for personalized therapy.
Table 4. Fully integrated smart wearable patch systems for personalized therapy.
Type of Healthcare/DiseasesMonitoring
by Sensors		Type of DDSsTriggering
Stimuli		TherapeuticsReference
DiabetesGlucose levelPCM-coated
microneedle		HeatMetformin[14]
Infected woundsTemperaturePEG acrylate-based hydrogels containing UV-cleavable linkerUV lightGentamicin[82]
Parkinson’s diseaseMuscle strain
(tremor)		m-SiO2
nanoparticles		HeatAnti-Parkinson’s disease agent/Rhodamine B dye[83]
EpilepsyMechanical sensorSilk fibroin hydrogel loaded with papain and gold nanoparticlesVisible light/
heat		Phenobarbital[84]
Ankle injuryMechanical sensorPoloxamer hydrogelIontophoresisPain-relief drugs/
Rhodamine 6G dye		[85]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Khadka, B.; Lee, B.; Kim, K.-T. Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System. Biomolecules 2023, 13, 929. https://doi.org/10.3390/biom13060929

AMA Style

Khadka B, Lee B, Kim K-T. Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System. Biomolecules. 2023; 13(6):929. https://doi.org/10.3390/biom13060929

Chicago/Turabian Style

Khadka, Bikram, Byeongmoon Lee, and Ki-Taek Kim. 2023. "Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System" Biomolecules 13, no. 6: 929. https://doi.org/10.3390/biom13060929

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop