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Frontiers in Bioengineering and Biotechnology logoLink to Frontiers in Bioengineering and Biotechnology
. 2022 Apr 21;10:851134. doi: 10.3389/fbioe.2022.851134

Microneedle-Based Device for Biological Analysis

Huiting Lu 1, Shah Zada 2,*, Lingzhi Yang 2, Haifeng Dong 1,2,*
PMCID: PMC9068878  PMID: 35528208

Abstract

The collection and analysis of biological samples are an effective means of disease diagnosis and treatment. Blood sampling is a traditional approach in biological analysis. However, the blood sampling approach inevitably relies on invasive techniques and is usually performed by a professional. The microneedle (MN)-based devices have gained increasing attention due to their noninvasive manner compared to the traditional blood-based analysis method. In the present review, we introduce the materials for fabrication of MNs. We categorize MN-based devices based on four classes: MNs for transdermal sampling, biomarker capture, detecting or monitoring analytes, and bio-signal recording. Their design strategies and corresponding application are highlighted and discussed in detail. Finally, future perspectives of MN-based devices are discussed.

Keywords: microneedles, biological analysis, transdermal sampling, biomarker capture, detection, bio-signal recording

Introduction

Blood sampling has become a common method in modern medical diagnosis due to its high efficiency and low cost. Many biometric tests are based on blood samples. However, the invasive sampling methods always accompanied subcutaneous acupuncture or finger pricks that usually lead to a decrease in patient compliance (Ayala et al., 2009). Meanwhile, blood sampling usually has to be performed by professionals. Although numerous efforts have been made in minimizing professional requirements during operation, the pain and discomfort still exist in the frequent finger-prick sampling with easy-to-use glucose meters. In addition, irregular operation and usage of unsterilized needles may pose a risk of blood-borne transmission of various biohazard pathogens (Sagoe-Moses et al., 2001). The disposal of sharp solid waste after blood sampling is also a problem.

Dermal interstitial fluid (ISF) is a portion of the fluid that seeps into the interstitial tissues from the arterial ends of capillaries. ISF acts as an intermediary between cancer cells and the circulatory system. Previous studies have proved that the composition and concentration of electrolytes, small molecules, and proteins in ISF are similar to those in plasma (Kool et al., 2007; Halvorsen et al., 2017; Niedzwiecki et al., 2018). Furthermore, some of the systemic and skin-derived metabolite biomarkers in ISF are unique (Muller A. C. et al., 2012; Niedzwiecki et al., 2018). Therefore, ISF is considered a promising alternative biofluid source with a lot of health-related information. The microneedle-based devices provide a noninvasive way to access this information.

The skin, the body’s largest organ, is a rich resource supply of ISF. However, the extraction of this fluid is restricted by a skin barrier. The stratum corneum, which is 15–20 μm thick, effectively prevents foreign substances from penetrating the skin (Dervisevic et al., 2020). Microneedles (MNs) are miniaturized needles with few hundreds of microns in length (Waghule et al., 2019). They can traverse the epidermis corneum and further insert into the viable epidermis while escaping from contacting any pain-sensing neurons or dermal blood vessels (Larraneta et al., 2016b). The first MN concept was proposed by Gerstel and Place in 1970 (Gerstel et al., 1976), while its blooming started until the 1990s after the development of micro- and nanofabrication techniques (Ventrelli et al., 2015). Since then, MNs have been fabricated using various materials with different physicochemical properties (Ali et al., 2019). The application of MNs initially focused on transdermal delivery of drugs (Kathuria et al., 2018) and vaccines (Creighton and Woodrow, 2019). Then, the study of MNs has been explored in many other areas including blood sampling (Xue et al., 2018), biosensing (Tasca et al., 2019), cosmetic (Yang J. et al., 2019), and cancer therapy (Moreira et al., 2019). MN-based devices have many fascinating properties, such as painless and minimal invasiveness, which show a great potential in point-of-care testing (POCT).

In general, MN-based devices can be classified into four categories according to their functional purposes (Figure 1): 1) MNs are used for transdermal sampling only with the corresponding materials analyzed by external methods 2) the MN array is designed to capture biomarkers selectively; 3) MNs are integrated in a sensor to detect or monitor the analytes within the skin; and 4) MNs are used for bio-signal recording platforms.

FIGURE 1.

FIGURE 1

Schematic illustration of categories according to the design strategies of MNs. (A) Transdermal sampling. (B) Biomarker capture. (C) MNs sensor. (D) Bio-signal recording.

In the present review, we focus on the recent advances of microneedle-based devices. The four categories of MN-based devices and their applications are highlighted and discussed in detail. Finally, the future perspectives of MN-based devices are summarized.

Microneedles for Transdermal Sampling

Four types of MNs (solid MNs, hollow MNs, porous MNs, and swelling MNs) have been used for transdermal sampling (Figure 1A). The properties of MNs for transdermal sampling are summarized in Table 1.

TABLE 1.

Properties of MNs for transdermal sampling.

MN type MN material Manufacturing method Sampling mechanism Sampling amount/efficiency Reference
Solid Glass Glass pulling Pressure-driven convection 1–10 µl ISF Wang et al. (2005)
Polycarbonate Capillary action Sato et al. (2011)
Stainless steel Laser cutting Capillary action >2 µl of ISF in 1 min Kolluru et al. (2019)
Stainless steel Micromachining Capillary action 2.9 μl of ISF in 30 s Kim et al. (2021)
Hollow Stainless steel Laser cutting Inherent pumping mechanism Up to 20 and 60 μl from humans and rats, respectively Miller et al. (2018)
Silicon Micromachining Capillary action Mukerjee et al. (2004)
Glycidyl methacrylate, trimethylolpropane trimethacrylate, and triethylene glycol dimethacrylate Micromolding Capillary action Extracted simulated ISF within 5 s Nicholas et al. (2018)
Porous Cellulose acetate Phase inversion Capillary action 1.33 mg ISF in 10 min Liu et al. (2020)
PSF, PDA, and PEG Phase inversion Capillary action 1.41 mg ISF in 10 min Liu P. et al. (2021)
PDMS Mold casting and salt leaching Pressure-driven convection 0.019 µl/min (80 min after insertion: 0.080 µl/min) Takeuchi et al. (2022)
Swelling Acrylate-based hydrogels Micromolding Diffusion 6 µl of ISF in 10 min Laszlo et al. (2021)
MeHA Micromolding Diffusion 1.4 mg ISF in 1 min Chang et al. (2017)
MeHA Micromolding Diffusion 3.82 µl of ISF in 3 min Zheng et al. (2020)
GelMA Micromolding Diffusion 1.9 mg after 5 min Zhu et al. (2020)
PVA/CS Micromolding Diffusion He R. et al. (2020)

PDMS, dimethylpolysiloxane; PSF, polysulfone; PDA, polydopamine; PEG, poly(ethylene glycol); MEMS, microelectro-mechanical system; MeHA, methacrylated hyaluronic acid; GelMA, gelatin methacryloy; PVA, polyvinyl alcohol; CS, chitosan.

Solid MNs and hollow MNs, made by silicon, glass, and stainless steel, are usually used for transdermal sampling (Tariq et al., 2021). Normally, these types of MNs were punctured on the skin with the ISF collected by a vacuum pump or a well-absorbent film sucking to withdraw the tissue fluid for subsequent analysis (Wang et al., 2005; Nalbant and Boyaci, 2019). For example, Kolluru et al. (2019) designed a two-component system composed of a strip of paper on the back of stainless steel MN arrays. First, the MN arrays break the skin barrier and create micropores that allow the ISF to flow to the skin surface, in which the ISF can ultimately be sucked and reserved in the paper strips due to the capillary force. The optimized paper strip–stainless steel MN array is capable of >2 µl of ISF collection within 1 min safely and conveniently on a rat skin in vivo. Nicholas et al. (2018) integrated an enzyme-based colorimetric glucose sensor to a single hollow MN device and achieved rapid determination of glucose concentration in simulated ISF with physiological relevancy. The sharp tip of hollow MNs could help the MNs to better penetrate the skin. Through the capillary effect inside the skin, the uptake of ISF within 5 s is demonstrated.

Solid MNs and hollow MNs have greatly facilitated transdermal sampling. Nonetheless, instrumental assistance and multi-step operations are usually required to maintain a negative pressure during the preparation of MNs, which limits their application. Additionally, glass- or silicon-based MNs often suffer from brittleness, which poses a potential safety risk to patients and causes environmental hazards (Sivamani et al., 2007; Larraneta et al., 2016a). One solution to the aforementioned issues is to replace glass/silicon with porous polymers in MN fabrication. Porous polymer–based MNs exhibit various distinctive advantages including desirable biocompatibility, ease of processing, large cavity, and three-dimensional connected porous structure. Liu et al. (2020) developed a phase inversion route to prepare various polymer-based MNs using cellulose acetate (CA), polysulfone (PSF), polyethersulfone (PES), polylactic acid (PLA), etc. with high porosity and interconnected pore structures. The resultant porous polymer–based MNs can extract ISF rapidly. Liu P. et al. (2021) have demonstrated a facile and effective method for interconnected structured and hydrophilic porous polymer MN modification. The coating layer of PDA provides new sites for polymers post-functionalization, which is beneficial for further PEG modification on the polymer matrix. The imported PEG improved the porous structure hydrophilicity and enhanced the molecular resistance effect. In addition, this method could be promoted to other polymer materials such as PLA and PVDF. The strategy provides a new idea for the fabrication of hydrophilic and anti-adhesion porous polymer MNs. Takeuchi et al. (2022) developed a fluidic system that directly interferes with the porous MNs, in which a capillary pump was utilized inside the microfluidic chip for continuous ISF sampling. In detail, the developed device connects a standard microelectromechanical system (MEMS)-fabricated microfluidic chip with porous flexible MNs of PDMS. It achieved continuous flow control of phosphate-buffered saline (PBS). The development of the device is beneficial for long-term health monitoring applications based on minimally invasive and continuous bio-sampling.

Another emerging good candidate for transdermal sampling is swelling MNs, which generally consist of cross-linked polymer networks and enable one-step ISF extraction without the aid of extra devices. Hydrogels are biocompatible and biodegradable. They are able to cause minimal tissue damage and little environmental threat after disposal (Herrmann et al., 2021). Chang et al. (2017) developed a methacrylated hyaluronic acid (MeHA)-based swellable MN platform, which can extract ISF efficiently for rapidly metabolic analysis. The MeHA patch could penetrate into the skin by a thumb press, extracting ≈1.4 mg ISF within 1 min, while maintaining structure integrity without leaving residues in the skin. A gelatin methacryloyl (GelMA)-based MN patch was developed in an 11 × 11 array fashion by a micromolding approach for minimally invasive ISF sampling (Figure 2) (Zhu et al., 2020). The properties of the patch could be adjusted by varying the GelMA prepolymer concentration and the crosslinking time. The swelling ratios of resulting patches are between 293 and 423%, and compressive moduli are between 3.34 and 7.23 MPa. The developed GelMA MN patch exhibits an efficient extraction of ISF. Laszlo et al. (2021) proposed two hydrogel-based MN arrays for dermal ISF proteomics sampling. The developed MN patches could restore their initial shape even after multiple mandatory washing steps to erase un-crosslinked polymers. Such a property could prevent signal-inhibiting effects and chromatographic interferences. The in vitro and in vivo biocompatibility was demonstrated. The collection of dermal ISF in vivo is also studied for subsequent proteomic applications. Zheng et al. (2020) developed a new osmolyte-composited swellable hydrogel MN for skin ISF extraction. The developed MN patch is composed of osmolytes such as maltose and hydrogels such as methacrylated hyaluronic acid. During extraction, the maltose would dissolve in the matrix and provide an osmotic pressure to enhance the diffusion rate of ISF to the hydrogel matrix. The microneedle prepared with the optimized formula could extract 7.90 µl ISF from pig ear skin and 3.82 µl ISF from mouse back skin within 3 min in vitro.

FIGURE 2.

FIGURE 2

Preparation of the GelMA MN patch. (A) Schematic of the MN preparation process. GelMA aqueous solution (aq) was poured into a PDMS mold. After centrifugation and UV cross-linking, the patch was dried and demolded. (B,C) SEM images show the side view of the GelMA MN array and (D,E) SEM images from the top view. Aligned conical needles were formed with an approximate height of 600 µm and a bottom diameter of 300 µm. Scale bar: 500 µm in (B) and (D) and 100 µm in (C) and (E). (F) Picture of the GelMA MN patch containing an 11 × 11 array of MNs over a 1 cm × 1 cm area. Reproduced with permission (Zhu et al., 2020). Copyright 2020, Wiley.

Microneedles for Biomarker Capture

The MN array designed for biomarker capture is an emerging approach in modern medical diagnosis. As shown in Figure 1C, MN systems for biomarker capture usually contain identification elements or probes for the selection and capture of analytes.

As shown in Table 2, the recognition mechanism of MNs for biomarker capture is mainly immunoaffinity. The recognition element is usually an antibody, oligonucleotide, or other proteins that can bind to a specific molecular motif. Thus, the target analyte can be effectively separated from the complex biological matrix. Figure 3A shows a typical example about this mechanism. The nanoporous MNs were functionalized with an antibody to selectively capture estrogen (E2) (a preeclampsia biomarker), following insertion into the skin, thereby enabling PE diagnosis by measuring biomarker concentrations based on the immunoassay method (Kang et al., 2020). To provide ultra-dense binding sites for the extraction and detection of trace amounts of the target analyte in the subcutaneous ISFs, a uniform nanopore structure was created on the tissue-penetrating aluminum (Al) MN array by controlled anodic oxidation. The immuno-functionalized nanoporous MN patch’s rapid, sub-nanogram-level sensing ability was verified by in vitro E2 detection tests and in vivo skin tests of experimental animals with response signals obtained within 1 min.

TABLE 2.

Properties of MNs for biomarker capture.

MN material Manufacturing method Target biomarker Recognition mechanism Sampling amount/efficiency Reference
Gold-coated silicon Deep reactive ion etching AF-igg Immunoaffinity Corrie et al. (2010)
Gold-coated silicon Deep reactive ion etching Dengue Virus NS1 Protein Immunoaffinity 8 µg/ml Muller D. A. et al. (2012)
Polystyrene Micromolding Il-6 matricellular protein periostin Immunoaffinity 0.33 pg/ml Wang Z. et al. (2021)
Immunoaffinity
Al Micromachined, electrochemical anodization E2 Immunoaffinity 0.5–1,000 ng/ml (<1 min) Kang et al. (2020)
PEG and PEGDA Micromolding TNF-α, IL-1β, IL-6 Immunoaffinity Zhang et al. (2019)
Glass and ETPTA Micromolding LPS Immunoaffinity 0.0064 EU/ml Yi et al. (2021)
Poly(lactide) Micromolding miR-210 Watson−Crick base pairing ∼6.5 μl in 2 min Al Sulaiman et al. (2019)
AuNWs, PMVE, and MA Micromolding EBV Cf DNA Double spatial-orientated recognition 93.6% Yang B. et al. (2019)
AuNWs, PMVE, and MA Micromolding EBV Cf DNA Double spatial-orientated recognition and reverse iontophoresis 95.4% Yang et al. (2020)

ETPTA, ethoxylated trimethylolpropane triacrylate; LPS, lipopolysaccharide; EBV Cf DNA, Epstein–Barr virus cell-free DNA; AuNWs, Au Nanowires; PMVE, polymethyl vinyl ether-alt; MA, maleic acid.

FIGURE 3.

FIGURE 3

(A) Schematic diagram of immuno-functionalized MN patch for PE diagnosis by detecting E2 biomarker at the sub-nanogram level. Reproduced with permission (Kang et al., 2020). Copyright 2020, Elsevier. (B) Schematic representation of the hydrogel-coated microneedle platform during sampling of the interstitial fluid. Reproduced with permission (Al Sulaiman et al., 2019). Copyright 2019, American Chemical Society. (C) Schematic workflow of the assay, with MN patches sampling (I) and a POCT electrochemical microfluidic platform (II). Reproduced with permission (Yang B. et al., 2019). Copyright 2019, American Chemical Society. (D) Schematics of an aptamer-decorated porous MN array. The biomarkers could be captured by probes on the MNs. Reproduced with permission (Yi et al., 2021). Copyright 2021, Elsevier.

Apart from immunoaffinity, Watson–Crick base pairing has also been applied in MN systems for biomarker capture. Al Sulaiman developed alginate–peptide nucleic acid-coated MNs that are capable of sequence-specific capture of target miRNAs by Watson–Crick base pairing (Figure 3B) (Al Sulaiman et al., 2019). Attaching PNA oligomers to the hydrogel’s fibers enables specific sampling, purification, and release of the only nucleic acid fragments that are complementary to the PNA sequence. By simply adapting the PNA sequence, this system can be applied in any miRNA of interest.

Yang B. et al. (2019) provide another way of biomarker capture by MNs. They employed hydrogel MN patch for fast and easy in situ capture of Epstein–Barr virus cell-free DNA (EBV Cf DNA) from ISF in 15 min with a capture efficiency as high as 93.6% (Figure 3C). Detection of EBV Cf DNA was achieved by electrochemical recombinase polymerase amplification implemented wearable flexible microfluidics, with a detection limit of 3.7 × 102 copies/μl. Animal experiments support the effectiveness of MNs for EBV Cf DNA capture. Later, they combined reverse iontophoresis and MN techniques and engineered a wearable epidermal detection system for rapid sensing of EBV Cf DNA (Yang et al., 2020). On account of the additive extraction effect of reverse iontophoresis and MNs, the engineered platform successfully separated cell-free DNA targets from ISF within 10 min, with a maximum capture efficiency of 95.4% and a threshold of 5 copies per µl. Captured cell-free DNA is directly used in the developed electrochemical microfluidic biosensor with a detection limit of 1.1 copies/µl.

Until now, MN arrays for capturing biomarkers have been reported by many groups. Corrie et al. (2010) first designed a MN-based device that captures circulating biomarkers in skin fluids in a painless manner with high specificity. They grafted a hetero-bifunctional PEG to the gold-coated microprojections, which reduced the unspecific protein binding and provided a spot for capturing attachment proteins. High specificity and high sensitivity antibody capture, extraction, and analysis have been achieved. Using the similar method, their groups realized the capture of dengue virus NS1 protein (Muller D. A. et al., 2012), recombinant P. falciparum rPf HRP2, and total IgG from the complexed matrix (Lee et al., 2014). Wang Z. et al. (2021) reported that functional biomolecules (such as antibodies) modified MNs that could penetrate the stratum corneum and periosteum, enabling the selective capture of protein biomarkers in the local ISF in a concentration-dependent manner. Due to the hydrophobic interaction between polystyrene and nonpolar residues on the protein, this interaction effectively traps the hydrophobic structures in antibodies and proteins and binds them to the polystyrene surface. Zhang et al. (2019) developed photonic crystal (PhC) barcodes integrated in encoded MNs for detecting ISF biomarkers. PhC barcode–loaded flexible MNs were elegantly fabricated by replication of dynamic ferrofluid casting micropatterns. When the prepared MNs are inserted into the skin, they could enrich certain biomarkers into their PhC barcode–modified probes. Therefore, sandwich immunocomplexes can be formed after the addition of corresponding fluorescent tags. The relative level of the biomarkers could be read out by the fluorescence signals of the barcode; at the same time, the types of biomarkers could be clearly discriminated by the reflection peaks of the PhC barcode.

It is worth noticing that aptamers can be potentially applied in MN arrays for biomarker capture. Aptamers are recognized as single-stranded oligonucleotides in 25–80 base length that exhibit specific binding affinity toward targets including amino acids, drugs, and protein biomolecules. In comparison with protein antibodies, aptamers have several advantages such as small size, strong binding affinity, high specificity, desirable biocompatibility, good stability, and lesser immunogenicity, making them widely used in the field of biomedicine (He F. et al., 2020; Ni et al., 2021). Aptamer-modified porous MN arrays are proposed to enable in situ enrichment and detection of biomarkers in ISF by Yi et al. (2021) (Figure 3D). Porous MN arrays were made by replicating negative molds containing SiO2 microspheres and UV-curable ethoxylated trimethylolpropane triacrylate (ETPTA). Since the MN array combines advantages of aptamers and porous structures, its surface area is remarkably increased to 6.694 m2/g, so a large amount of aptamer probes (0.9459 μM) can be fixed. Furthermore, due to capillary forces, the MN array can extract ISF into its porous structure. Subsequently, biomarkers are captured and detected without sample post-processing.

Microneedle Sensor for Detecting or Monitoring Analytes

MN-based sensors have been employed widely for detecting or monitoring a diverse range of analytes as listed in Table 3.

TABLE 3.

Properties of MN-based sensor.

Analysis approach Analysis object Detection/continuous monitoring Test subject References
Electrochemical Glucose Detection ISF samples Strambini et al. (2015)
Glucose Continuous monitoring Mice Liu Y. et al. (2021)
Glucose Continuous monitoring Artificial ISF Bollella et al. (2019c)
Glucose Continuous monitoring Phosphate-buffered saline Invernale et al. (2014)
Glucose Continuous monitoring Buffered saline Ribet et al. (2018)
Glucose Continuous monitoring Volunteers Sharma et al. (2016)
Glucose Continuous monitoring Volunteers Kim et al. (2019)
Glucose Continuous monitoring Healthy volunteers and T1D Sharma et al. (2018)
Glucose Continuous monitoring Rabbit Lee et al. (2016)
Glucose Continuous monitoring Mice Chen et al. (2015)
Lactate Detection Sensor-enclosing device Wang Y. et al. (2020)
Lactate Detection Mice Li Q. et al. (2021)
Lactate Continuous monitoring Artificial ISF Bollella et al. (2019a)
H2O2 Real-time monitoring Living HeLa cells Zhou et al. (2017)
H2O2 Real-time monitoring Mice Jin et al. (2019)
Potassium Detection Chicken and porcine skin Parrilla et al. (2019)
Urea Detection Artificial ISF and alginate epidermal/skin mimic Senel et al. (2019)
Alcohol Real-time monitoring Artificial ISF and mice skin Mohan et al. (2017)
Organophosphate Detection Mice skin Mishra et al. (2017)
Phenoxymethylpenicillin Real-time monitoring Volunteers Rawson et al. (2019)
Beta-lactam antibiotics Continuous monitoring Volunteers Gowers et al. (2019)
Levodopa Continuous monitoring Artificial ISF and mice skin- Goud et al. (2019)
Glucose, lactate Detection Solution Calio et al. (2016)
Glucose, lactate Detection Porcine kidney Samper et al. (2019)
Glucose, lactate Detection Artificial ISF Bollella et al. (2019b)
Myoglobin, troponin Detection Solution Miller et al. (2016)
HB, glucose, and lactate Detection Artificial ISF Teymourian et al. (2020)
Glucose, uric acid, and cholesterol Detection Solution Gao et al. (2019)
SERS Glucose Detection Skin phantom Yuen and Liu (2014)
Glucose Detection Mouse Ju et al. (2020)
MB Detection Skin phantom Linh et al. (2021)
pH Detection Agar gel skin phantom and human skin Park et al. (2019)
Colorimetric Glucose Detection Simulated ISF Nicholas et al. (2018)
Glucose Detection Mouse Zeng et al. (2020)
Glucose Detection Mice Wang Z. et al. (2020)
pH, glucose, uric acid, and temperature Detection/monitoring Rabbit He et al. (2021)

T1D, participants with type 1 diabetes; HB, β-hydroxybutyrate; NO, nitric oxide; MB, methylene blue.

Microneedle-Based Electrochemical Sensor

As displayed in Table 3, the detection mechanism of a majority of MN-based sensors relies on electrochemical sensing technology.

Solid MNs are commonly used in MN-based electrochemical sensors. First, the materials used for MN fabrications are highly conductive and thus can be directly used for analyte monitoring to construct enzyme-free electrochemical biosensors. Li et al. (2020) developed a MN-based electromagnetic generator with a magnetized MN-array for monitoring human motion. The magnetized MNs in triboelectric–electromagnetic hybrid generators were employed as the frictional layer of triboelectric generator (TEG) and served as the bendable magnetic poles of electromagnetic generator (EMG). Gold (Calio et al., 2016; Senel et al., 2019; Zhang et al., 2020; Zhao et al., 2020) and platinum (Zhou et al., 2017; Chinnadayyala et al., 2018a; Zhao et al., 2020) were usually used to fabricate MNs due to their good conductivity. An attractive glucose sensor using a nafion and platinum black-coated MN electrode array in three- and two-electrode configuration was reported (Chinnadayyala et al., 2018a). An enzyme-free electrochemical sensing platform based on a Pt-MN electrode functionalized with Au nanoparticle (Au-NP)-decorated polydopamine nanospheres (PDA-NSs) was explored in in vitro and in vivo detection of lactate in different biological samples (Li Q. et al., 2021). Goud et al. (2019) developed a MN sensing platform that relied on parallel simultaneous independent enzymatic-amperometric and nonenzymatic voltammetric detection of L-DOPA using different microneedles on the same sensor array patch. As a significant alternative of noble metal materials, carbonic materials or compositions were widely used for construction of MNs. Skaria et al. (2019) used micromolding techniques to construct solid MN sensors using poly(lactic acid)/carboxyl-multiwalled carbon nanotube (PLA/f-MWCNT) composites. Jin et al. (2019) developed a conductive MN patch for transdermal H2O2 electrochemical biosensing. The MN surfaces was modified with hybrid materials of Pt nanoparticles and reduced with graphene oxide (rGO) nanostructures that serve as an active H2O2 sensing modulus (Figure 4A). The detection sensitivity of MN electrodes was significantly improved by Pt/rGO, and MN was used as a painless transdermal tool for in vivo access.

FIGURE 4.

FIGURE 4

(A) Schematics for illustration of the transdermal H2O2 electrochemical biosensor on the basis of the conductive MN patch with Pt/rGO surface. Reproduced with permission (Jin et al., 2019). Copyright 2019, Wiley. (B) Schematics for the working mechanism of silk/D-sorbitol microneedle electrodes. Reproduced with permission (Zhao et al., 2020). Copyright 2019, Royal Society of Chemistry.

Second, the solid MNs often functionalized with enzymes to convert analytes into detectable electrochemical signals. Oxidase (GOx) (Chen et al., 2015; Wang et al., 2021a) was commonly used to monitor glucose by converting glucose into gluconic acid and hydrogen peroxide H2O2. A flavin adenine dinucleotide glucose dehydrogenase/6-(ferrocenyl)hexanethiol/highly porous gold (FAD-GDH/FcSH/h-PG) MN-based biosensor was fabricated for minimally invasive sensing of glucose in artificial interstitial fluid (Bollella et al., 2019c). In addition, lactate oxidase (LOX) enzyme was also explored to develop MN-based electrochemical sensors. Bollella et al. (2019a) developed a mediated pain-free MN-based biosensor for the continuous monitoring of lactate in the ISF (Bollella et al., 2019a). Functionalization of the Au-MWCNTs/poly methylene blue (MB) platform with LOX enzyme by drop casting procedure enabled the continuous monitoring of lactate in artificial interstitial fluid and in human serum. Other enzyme MN electrochemical biosensors were also reported. Gold MNs (AuMNs) functioned with an epoxy- and ferrocene-functional polymeric mediator and covalently immobilized urease was used for urea sensing (Senel et al., 2019). Mohan et al. (2017) developed a skin-worn MN sensing device for the minimally invasive electrochemical monitoring of subcutaneous alcohol.

Hollow MNs could also be used for electrochemical sensing in which the transducers are integrated into the back of the hollow MN array to detect the substance (Jina et al., 2014). Strambini et al. (2015) prepared a self-powered painless MN biosensor for a highly accurate analysis of glycemia in ISF. The enzymatic glucose biosensor was coupled to the backside of the needle patch for a self-powered glucose analysis (in vitro) in the ISF with high accuracy, high reproducibility, and excellent linearity (0–630 mg/dl) in real time. Hollow MN-based sensors were also prepared by traditional electrochemical sensing element embedment in the hollow MNs. Compared to aforementioned MNs, this approach provides additional protection for the sensing elements. For example, MN-based organophosphorus hydrolase (OPH) sensors were reported for minimal-invasive measurement of transdermal threat compounds, organophosphate (OP) (Mishra et al., 2017). The sensor relied on the efficient biocatalysis of OPH on a MN-modified carbon paste array electrode and used fast square wave voltammetry (SWV) of the p-nitrophenol product of the enzymatic catalytic reaction of OPH to measure the OP with good selectivity. Teymourian et al. (2020) presented a MN platform for real-time ketone body monitoring based on a β-hydroxybutyrate (HB) dehydrogenase enzymatic reaction. This amperometric sensor for dual analytes is realized by filling the hollow microneedle tip with an appropriate electrode material, where simultaneous HB/glucose detection was performed. Zhao et al. (2020) constructed a MN-based glucose biosensor system with a hollow pyramidal MN array template (Figure 4B). The device is composed of three silk/D-sorbitol pyramidal MNs that immobilized platinum (Pt), silver (Ag) wires, and glucose oxidase (GOD) during fabrication. The silk/D-sorbitol complex provided a bio-friendly environment for the enzyme reaction. The mechanical breaking strength could be adjusted by varying the silk to D-sorbitol ratio, thus ensuring that the microneedles can penetrate the skin. The enzymatic amperometric response is linearly related to the glucose concentration. Even at 37°C, the microneedles showed high stability during long-term monitoring and storage.

In addition to solid and hollow MNs, some groups attempt to employ porous MNs for electrochemical sensors. By combining a sponge-like porous PDMS matrix with a hyaluronic acid (HA) coating, the prepared MNs exhibited desirable mechanical properties, and the MNs were able to penetrate the skin and are flexible after insertion into the skin (Takeuchi et al., 2020). It was noteworthy that the reported MN arrays successfully extracted ISF not by capillary action but by repetitive compression. The results demonstrated the applicability of flexible MNs for continuous glucose monitoring.

Microneedle-Based Surface-Enhanced Raman Scattering Sensor

Surface-enhanced Raman scattering (SERS) is noninvasive spectral technology, which is the result of enhanced sensitivity of Raman spectral fingerprint and local surface plasmon resonance (Xu et al., 2019; Shrivastav et al., 2021). The quantification of samples could be realized without sample pretreatments such as dilution or centrifugation, the processing speed is fast, and the measurement is in real-time. The bottleneck problem that SERS directly applied to skin detection is that the penetration depth of the Raman laser is about 200 m under the skin (Krafft et al., 2009), while the depth required for clinically relevant analytics is 700 m. MNs are a good tool to address this issue. Yuen and Liu (2014) used MNs for in situ SERS measurements in skin phantoms first. They fabricated Ag-coated MNs as SERS probes for sensitive detection of target molecules at depths beneath 700 μm, simulating the absorption and scattering of light by human skin. Ju et al. (2020) also used silver nanoparticles (Ag NPs) to enhance Raman signals. Following the incorporation of 1-decanethiol to the surface of Ag-coated array, the sensors were calibrated in the 0–20 mM range in a skin model and then tested in a streptozotocin (STZ) mouse model for an in vivo quantitative study of glucose in type I diabetes (Figure 5A). The results demonstrated that the functional polymethyl methacrylate (F-PMMA) MN array enabled the direct measurement of glucose in the ISF within minutes and maintained its structural integrity.

FIGURE 5.

FIGURE 5

(A) Schematic diagram of the transdermal detection of glucose in vivo using the F-PMMA MN array based on surface-enhanced Raman spectroscopy. Reproduced with permission (Ju et al., 2020). Copyright 2020, American Chemical Society. (B) Scheme of the NFMN-SERS sensor for an intradermal detection. The inset image shows the flower-like nanostructures formed on the MN structure. Reproduced with permission (Li H. et al., 2021). Copyright 2021, Elsevier.

In addition to Ag NPs, Au NPs have also been employed for enhancement of the Raman signal in MN-based sensors. Park et al. (2019) reported a SERS probe using MN arrays as a noninvasive sensing platform for ISF. The arrays of MNs were made from a commercial polymer binder and coated by plasmonic Au nanorods modified by a pH-sensitive 4-mercaptobenzoic acid. The sensor could monitor pH values in the range of 5–9 and could detect pH values in agar skin models and in human skin in situ. Li H. et al. (2021) prepared a biomimetic NFMN-SERS substrate for sensitive and fast intradermal sensing. Nanoflower structures were fabricated on the basis of hydroxyapatite nanostructures as SERS substrates, and Au nano-islands were synthesized on the petals of nanoflowers, creating highly dense hot spots for the SERS effect (Figure 5B). The petals facing close in the nanoflower structure further generated a plasmonic coupling effect for sensitivity improvement. The developed finite-difference time-domain-SERS sensor is expected to be applied for various intradermal sensing, especially for chemical biomarkers in interstitial fluids of skin.

Microneedle-Based Colorimetric Sensor

The colorimetric sensors possess advantages including being easy to operate and not needing expensive or complex equipment (Wang et al., 2021b). Especially, the signal changes can be easily monitored for field analysis and bedside diagnosis.

Some groups reported a MN-based colorimetric sensor for glucose detection. Nicholas et al. (2018) reported a single hollow MN sensing device that used an enzyme-based colorimetric principle to achieve fast measurement of glucose concentrations in simulated ISF. The glucose sensor was integrated into the paper matrix as a backplane and connected to the hollow MN. The device was capable of rapid extraction of simulated ISF within 5 s and was able to produce a color change related to glucose concentration within 30 s. Zeng et al. (2020) described a minimally invasive colloidal crystal MN patch for macro blood glucose monitoring. Glucose-responsive colloidal crystal (GCC) MNs were constructed on a polymer core that supported the GCC shell for glucose sensing (Figure 6). The GCC MN patch can convert glucose concentration to a reversible color change discernible to the naked eye within 5 min. Being demonstrated in a mouse model of type-1 diabetes, the GCC-MN patch simultaneously realized ISF extraction, glucose sensing, and the resulting glucose-related color changes. An integrated sampling and display of transdermal colorimetric MN patch was also developed (Wang Z. et al., 2020). The color rendering of 3,3',5,5'-tetramethylbenzidine (TMB) was triggered by a cascade of enzymatic reactions of glucose oxidase and horseradish peroxidase (HRP) induced by excessive glucose. The upper layer of HRP was biomineralized with calcium phosphate, which increased pH-responsive properties, improving sensitivity and preventing nonspecific reactions. The colorimetric sensor enables minimally invasive extraction of mouse ISF and rapidly converted glucose levels into visible color changes.

FIGURE 6.

FIGURE 6

Schematically illustrated the formulation and mechanism of the GCC-MN patch for naked eye monitoring of glucose concentrations. Reproduced with permission (Zeng et al., 2020). Copyright 2020, Elsevier.

In addition to glucose, MN-based colorimetric sensors have been successfully used for rapidly detecting protein bio-markers in dermal ISF (Jiang and Lillehoj, 2020). Sample collection is facilitated by a hydrophilic hollow MN array that autonomously extracts ISF by surface tension and delivers it to antibody-based lateral flow test strips. The potential enhancement mechanism was elucidated through experimental studies, and a simple gold enhancement treatment was employed to improve the detection sensitivity. For proof-of-concept, the device was used to detect a biomarker of malaria infection, the histidine-rich protein 2 of P. falciparum. The device was able to detect a target protein concentration as low as 8 ng/ml. Each test could be completed within 20 min and did not require additional equipment. MN-based colorimetric sensors for detection of multiple health-related biomarkers have also been reported by He et al. (2021). The biosensor displayed color changes in response to changes in biomarker concentrations such as pH, glucose, uric acid, and temperature, which could be read directly with the naked eye or captured by a camera for semi-quantitative measurements. The colorimetric dermal tattoo biosensor has been demonstrated to simultaneously detect multiple biomarkers in vitro, ex vivo, and in vivo, and to monitor changes in the concentration of biomarkers over a long period of time (at least 4 days). Such capacity shows great potential for long-term health monitoring.

Microneedle-Based Device for Bio-Signal Recording

Both humans and animals produce regular electrical signals in static and active states. Monitoring these biological signals, for example, electromyogram (EMG), electrocardiogram (ECG), and electroencephalogram (EEG), can help to understand human pathology and physiology (Peng et al., 2016). Conventional wet Ag/AgCl electrode could obtain biological signals with relatively high resolution in clinical practice. However, several disadvantages limit its further application. First, Ag/AgCl electrodes always require skin preparation such as haircuts and skin scrapes (Griss et al., 2000). Second, gel electrolytes are often used to reduce the high impedance of the cuticle (Wang et al., 2017). However, the gel may cause skin irritation or allergic reactions that make the subject uncomfortable (Kato et al., 2006). In addition, the gel dries out over time, which reduces the quality of the recorded signal (Tallgren et al., 2005). Therefore, wet electrodes are suggested to fail to long-term bio-signal recording. Compared with wet electrodes, dry electrodes do not require electrolytic gel, and thus can record biological signals continuously (Baek et al., 2008; Fu et al., 2020). However, the electrode-skin interface impedance (EII) is still very high and sensitive to human movement (Yu et al., 2009; Forvi et al., 2012).

As a kind of dry electrode, the MN array electrode (MAE) was first proposed by Griss et al. (2000). MAE can penetrate the cuticle of human skin and eliminate the effect of cuticle on impedance (Ren et al., 2020b). Meanwhile, MNs do not require skin preparation for puncture and result in minimal skin trauma (Kashaninejad et al., 2021). It has been shown that MAE has a lower and more stable EII than commonly used dry electrodes. Figure 7 schematically showed the electrical equivalent circuit model of wet electrodes and MAE. Here, Ew is the half-cell potential. The interface between the wet electrode Ag/AgCl and the electrolytic gel could be simulated by the parallel connection of capacitor Cd and resistor Rd. Rg represents the electrical resistance of the gel used in the experiment. Ese represents the potential difference between the gel and the stratum corneum. The stratum corneum can also be modeled by a capacitor Ce and a resistor Re in parallel. Ru represents the resistance of the dermis and subcutaneous tissue. The equivalent circuit of MAE is relatively simple. Since the MNs are in direct contact with the epidermis, there is only coupling between the electrodes and the conductive layers within the skin, except for the conductive resistance of the dermis and underlying tissue, described by the half-cell potential Em and connected in parallel with the resistance Rm and the capacitance Cm.

FIGURE 7.

FIGURE 7

Schematic and electrical equivalent circuit model of wet electrodes and MAE, respectively.

To date, MN-based devices have been successfully used in ECG, EMG, and EEG recording (Chen et al., 2016; Pei et al., 2017; Ren et al., 2018; Sun et al., 2018; Mahony et al., 2019; Satti et al., 2021; Wang Y. et al., 2021). The properties of MNs for bio-signal recording are summarized in Table 4. Due to the relatively mature processing technology in semiconductor industries, many MN materials are based on silicon. Silicon is the first material used in MN fabrication due to its instinct excellent mechanical strength, good biocompatibility, and the matureness of micro-fabrication technologies (Li et al., 2018). Griss et al. (2000) used silicon MN array for EEG signal recording in 2000. Forvi et al. (2012) also employed silicon MNs that have good performance in recording EEG, EMG and ECG, but silicon electrodes need to be coated with metal to achieve a relatively lower impedance. In addition, the silicon material is hard and lacks flexibility, resulting in the unfitness of electrodes on the body skin, and concomitant motion generated artifact signal (Tachikawa et al., 2010). Wang et al. developed flexible parylene-based MN electrode arrays with silicon MNs, which could provide not only conformal but also robust contact (Wang et al., 2017). Compared with wet electrode, a good impedance density of 7.5 KΩ cm2 @10 Hz was attained. Flexibility of P-MNEA contributes to recording stability, and P-MNEA realizes credible EEG acquisition.

TABLE 4.

Properties of MNs for bio-signal recording.

MN material MN length/µm MN shape MN manufacturing method Application Reference
Silicon 300 Pyramidal Sawing and wet isotropic etching ECG Pei et al. (2017)
Silicon 200 Pyramidal Sawing and wet isotropic etching EEG Chen et al. (2013)
Silicon 300 Pyramidal Wet etching ECG, EMG, and EEG Forvi et al. (2012)
316L stainless steel and gold, parylene 550 Square Etching ECG, EMG, and EEG Ren et al. (2020a), Satti et al. (2020), Satti et al. (2021)
Iron nanoparticles and NdFeB microparticles 1,200 Pyramidal Magnetic field-induced spray self-assembly, thermal curing, and electromagnetization EMG Li et al. (2020)
Iron powder and epoxy novolac resin 700 Pyramidal Magnetization-induced self-assembly ECG and EMG Chen et al. (2016)
Iron powder 700 Micro-stalagmite Magneto-rheological drawing lithography ECG, EMG and EEG Ren et al. (2018)
Titanium, SU-8 and gold 500 Small humps at the bottom Laser machining ECG and EMG Sun et al. (2018)
Hard epoxy resin 700 Rectangular pyramid Mold casting and computer numerical control ECG and EMG Hou et al. (2021)
Polyimide 400 Tip Two-step conformal molding technique, laser cutting, metal sputtering, and electrochemical deposition of the conducting polymer EEG Li J. et al. (2021)

Metal materials are also good candidate materials for MEA fabrication. For example, MEA with MNs with a length of 550 μm could be constructed with a magnetization-induced self-assembly approach (Wang Y. et al., 2021). The MNs could penetrate the cuticle and reach the human epidermis for high-quality signal recording. In addition, the appropriate MN penetration length will not induce harm to the human dermis; therefore, painless signal acquisition could be achieved. The improved performance of MEA in EMG and ECG recordings has been demonstrated experimentally in both able and amputee subjects. Inspired by the edge of golden margined century plant leaf, a kind of flexible dry biological electrode with MN structure was proposed (Figure 8) (Li Y. et al., 2021). The red copper sheet with 100 µm in thickness was selected as a material for the MN array due to its excellent conductivity and processability. The results showed that compared with the triangular MNs, the curved hook MNs exhibited smaller penetration resistance, larger pullout force, better damage resistance, and stronger bonding force with a flexible substrate. Compared with Ag/AgCl wet electrode, the flexible dry biological electrode with curved hook MN structure showed better time domain and frequency domain performance in EMG signal acquisition.

FIGURE 8.

FIGURE 8

Design of the flexible dry bioelectrode: (A) assembling diagram of a flexible dry bioelectrode; (B) schematic diagram of an electrode core structure; and (C) optical picture of a flexible dry bioelectrode. Reproduced with permission (Li Y. et al., 2021). Copyright 2021, Elsevier.

Apart from silicon and metal, polymers could also be considered for MN electrodes. A novel MN array–based dry electrode modified with a ring-shaped flexible polyimide substrate matrix was fabricated by Li J. et al. (2021), which was compatible with EEG signal recording on hairy scalp. The loop structure allows the hair to be passed through the MN attached to the back. The MN on the “ring” can be pressed from behind to directly touch the scalp. MNs with pointed tips, also based on polyimide, can penetrate the cuticle, the outermost layer of the skin, enabling low-impedance contact and minimal invasiveness. Satti et al. (2020) introduced a rigid parylene-coated MN electrode array for the construction of a portable ECG circuit, which was able to monitor the process of ECG reducing the motion artifacts. In comparison with the traditional Ag/AgCl electrodes, the prepared MNE showed an increased stability and durability for dynamically and long-termed monitoring ECG. The microneedles could survive the compression force until 16 N and successfully penetrate skin tissue with an insertion force as low as 5 N. The electrical properties of the MNE were characterized using impedance spectroscopy under the equivalent circuit model. The resultant wearable wireless MNE demonstrated the potentials for ECG recording with the reduction of the movement artifact noises in the process of dynamic behaviors. A recent case was reported that a flexible MAE with a Miura-ori pattern was constructed for monitoring biosignals accurately and stably (Hou et al., 2021). The mold was directly prepared using high-precision machining. The mold was consisted of micro-level needle tips and a matrix macro-level Miura-ori structure. The flexible M-MAE patches were extruded with a further PDMS mold pressing process. A series of tests of the EII and flexibility supported this minimally invasive M-MAE with outstanding biosignal sensing performance as the result of smaller skin-electrode impedance and more stable sensing signal output against bending. The M-MAE possessed benign airiness due to air-permeable channels, facilitating to get rid of sweat timely and stabilize signal output. The M-MAE sensing patch also showed to have in situ practicability and long-term stability to realize real-time biosignal recording of ECG and EMGs.

Future Challenges and Perspectives

Challenges of Microneedle-Based Sensors

In the last decades, the advanced properties of MNs have driven the development of MN biomedical applications. However, most of the commercial MNs have focused on delivery of drugs and vaccines (Chen et al., 2016; Lee et al., 2020). Nowadays, a few studies have reported the clinical applications of MNs in continuous glucose monitoring, but the study on MNs for biological analysis is still in the laboratory stage. Thus, the practical biological analysis applications of MNs still require prolonged efforts from both industry and academia. There are several areas for improvement. First, the cost and scale produce of MNs limit their wide industrialization. Second, the invasive sample collection always results in its disqualification for clinical use. The risk of their disease transmission through ISF also exists if they are not properly sterilized. Furthermore, some metals such as nickel may result in severe allergic reactions. Finally, the research on MN-based system mainly consists of in vivo detection and in vitro detection. Pig skin is usually employed as a model for in vitro detection because of its similar histological and biochemical properties to human skin (Swindle et al., 2012). However, pig skin shows a higher permeability than human skin, and inherent interspecific variation and inter-batch variability from skin may result in complicated interpretation of test results (Luo et al., 2016). The in vivo model is not ideal due to economic, moral, and legal reasons (Grimm et al., 2019).

Prospective of Microneedle-Based Sensors

Simpler and more economical micromachining techniques are needed to be developed to achieve a mass production of high-precision MNs. The 3D printing technique holds great potential for scalable MN production. MNs must be made of materials that are harmless and nonirritating. Meanwhile, the MN-based devices must be rigorously disinfected before clinical application to get rid of the microorganisms’ contaminations under the skin surface. Although metal or silicon MNs can usually be easily hyperpyrexia sterilized, polymer MNs can be rendered to deformation under such conditions, and alternative sterilization methods are required. Additionally, due to the complex composition of body fluid, the stability of the MN-based sensors after contact with body fluid should also be assessed. Therefore, further development of materials for the preparation of microneedles is needed in the future. It is necessary to develop easy-to-adjust and versatile in situ skin tools for MN assessment. For example, multifunctional animal-free 3D tools have proven their great potential for rapidly and economically evaluating MN devices (Totti et al., 2019). More animal-free, reproducible models will need to be developed in the future for MN-based device verification, and more reliable clinical trials of MNs are highly desirable well in the future. Overall, taking advantage of enabling continuous monitoring in personalized healthcare in a robust, reliable, and noninvasive approach, MNs are a promising candidate to provide an avenue for modern diagnosis through the transdermal route.

Author Contributions

HD contributed to the conception and design of the study. HL wrote the whole manuscript. SZ and LY revised the grammar of the manuscript. All authors contributed to manuscript revision and read, and approved the final version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (22004006 and 21874008), the Excellent Young Scientists Fund (22022407), the Major Program of the National Natural Science Foundation of China (21890740 and 21890742), the Special Foundation for State Major Research Program of China (Grant No. 2019YFC1606603), SZU Top Ranking Project (860000002100165 and 86000000210), the University Stability Support Project of Shenzhen (Grant No. 20200822212355001), and the Beijing Municipal Science and Technology Commission (Grant No. z131102002813058).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  1. Al Sulaiman D., Chang J. Y. H., Bennett N. R., Topouzi H., Higgins C. A., Irvine D. J., et al. (2019). Hydrogel-Coated Microneedle Arrays for Minimally Invasive Sampling and Sensing of Specific Circulating Nucleic Acids from Skin Interstitial Fluid. Acs Nano 13, 9620–9628. 10.1021/acsnano.9b04783 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ali R., Mehta P., Arshad M., Kucuk I., Chang M.-W., Ahmad Z. (2019). Transdermal Microneedles-A Materials Perspective. Aaps Pharmscitech 21, 12. 10.1208/s12249-019-1560-3 [DOI] [PubMed] [Google Scholar]
  3. Ayala E. S., Meuret A. E., Ritz T. (2009). Treatments for Blood-Injury-Injection Phobia: A Critical Review of Current Evidence. J. Psychiatr. Res. 43, 1235–1242. 10.1016/j.jpsychires.2009.04.008 [DOI] [PubMed] [Google Scholar]
  4. Baek J.-Y., An J.-H., Choi J.-M., Park K.-S., Lee S.-H. (2008). Flexible Polymeric Dry Electrodes for the Long-Term Monitoring of ECG. Sensors Actuators A: Phys. 143, 423–429. 10.1016/j.sna.2007.11.019 [DOI] [Google Scholar]
  5. Barrett C., Dawson K., O'Mahony C., O'Riordan A. (2015). Development of Low Cost Rapid Fabrication of Sharp Polymer Microneedles for In Vivo Glucose Biosensing Applications. ECS J. Solid State. Sci. Technol. 4, S3053–S3058. 10.1149/2.0141510jss [DOI] [Google Scholar]
  6. Bollella P., Sharma S., Cass A. E. G., Antiochia R. (2019a). Microneedle-Based Biosensor for Minimally-Invasive Lactate Detection. Biosens. Bioelectron. 123, 152–159. 10.1016/j.bios.2018.08.010 [DOI] [PubMed] [Google Scholar]
  7. Bollella P., Sharma S., Cass A. E. G., Antiochia R. (2019b). Minimally-invasive Microneedle-Based Biosensor Array for Simultaneous Lactate and Glucose Monitoring in Artificial Interstitial Fluid. Electroanalysis 31, 374–382. 10.1002/elan.201800630 [DOI] [Google Scholar]
  8. Bollella P., Sharma S., Cass A. E. G., Tasca F., Antiochia R. (2019c). Minimally Invasive Glucose Monitoring Using a Highly Porous Gold Microneedles-Based Biosensor: Characterization and Application in Artificial Interstitial Fluid. Catalysts 9, 580. 10.3390/catal9070580 [DOI] [Google Scholar]
  9. Caliò A., Dardano P., Di Palma V., Bevilacqua M. F., Di Matteo A., Iuele H., et al. (2016). Polymeric Microneedles Based Enzymatic Electrodes for Electrochemical Biosensing of Glucose and Lactic Acid. Sensors Actuators B: Chem. 236, 343–349. 10.1016/j.snb.2016.05.156 [DOI] [Google Scholar]
  10. Chang H., Zheng M., Yu X., Than A., Seeni R. Z., Kang R., et al. (2017). A Swellable Microneedle Patch to Rapidly Extract Skin Interstitial Fluid for Timely Metabolic Analysis. Adv. Mater. 29, 1702243. 10.1002/adma.201702243 [DOI] [PubMed] [Google Scholar]
  11. Chen D., Wang C., Chen W., Chen Y., Zhang J. X. J. (2015). PVDF-nafion Nanomembranes Coated Microneedles for In Vivo Transcutaneous Implantable Glucose Sensing. Biosens. Bioelectron. 74, 1047–1052. 10.1016/j.bios.2015.07.036 [DOI] [PubMed] [Google Scholar]
  12. Chen K., Ren L., Chen Z., Pan C., Zhou W., Jiang L. (2016). Fabrication of Micro-Needle Electrodes for Bio-Signal Recording by a Magnetization-Induced Self-Assembly Method. Sensors 16, 1533. 10.3390/s16091533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chen Y., Pei W., Chen S. (2013). Poly(3,4-Ethylenedioxythiophene) (PEDOT) as Interface Material for Improving Electrochemical Performance of Microneedles Array-Based Dry Electrode. Sensors and Actuators B: Chemical 188, 747–756. 10.1016/j.snb.2013.07.075 [DOI] [Google Scholar]
  14. Chinnadayyala S. R., Park I., Cho S. (2018a). Nonenzymatic Determination of Glucose at Near Neutral pH Values Based on the Use of Nafion and Platinum Black Coated Microneedle Electrode Array. Microchim Acta 185, 250. 10.1007/s00604-018-2770-1 [DOI] [PubMed] [Google Scholar]
  15. Chinnadayyala S. R., Park K. D., Cho S. (2018b). Editors' Choice-Review-In Vivo and In Vitro Microneedle Based Enzymatic and Non-enzymatic Continuous Glucose Monitoring Biosensors. ECS J. Solid State. Sci. Technol. 7, Q3159–Q3171. 10.1149/2.0241807jss [DOI] [Google Scholar]
  16. Corrie S. R., Fernando G. J. P., Crichton M. L., Brunck M. E. G., Anderson C. D., Kendall M. A. F. (2010). Surface-modified Microprojection Arrays for Intradermal Biomarker Capture, with Low Non-specific Protein Binding. Lab Chip 10, 2655–2658. 10.1039/c0lc00068j [DOI] [PubMed] [Google Scholar]
  17. Creighton R. L., Woodrow K. A. (2019). Microneedle‐Mediated Vaccine Delivery to the Oral Mucosa. Adv. Healthc. Mater. 8, 1801180. 10.1002/adhm.201801180 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Dervisevic M., Alba M., Prieto-Simon B., Voelcker N. H. (2020). Skin in the Diagnostics Game: Wearable Biosensor Nano- and Microsystems for Medical Diagnostics. Nano Today 30, 100828. 10.1016/j.nantod.2019.100828 [DOI] [Google Scholar]
  19. Forvi E., Bedoni M., Carabalona R., Soncini M., Mazzoleni P., Rizzo F., et al. (2012). Preliminary Technological Assessment of Microneedles-Based Dry Electrodes for Biopotential Monitoring in Clinical Examinations. Sensors Actuators A: Phys. 180, 177–186. 10.1016/j.sna.2012.04.019 [DOI] [Google Scholar]
  20. Fu Y., Zhao J., Dong Y., Wang X. (2020). Dry Electrodes for Human Bioelectrical Signal Monitoring. Sensors 20, 3651. 10.3390/s20133651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Gao J., Huang W., Chen Z., Yi C., Jiang L. (2019). Simultaneous Detection of Glucose, Uric Acid and Cholesterol Using Flexible Microneedle Electrode Array-Based Biosensor and Multi-Channel Portable Electrochemical Analyzer. Sensors Actuators B: Chem. 287, 102–110. 10.1016/j.snb.2019.02.020 [DOI] [Google Scholar]
  22. Gerstel M. S., Place V. A. (1976). Drug delivery device. Palo Alto, CA: Alza Corporation; [Google Scholar]
  23. Goud K. Y., Moonla C., Mishra R. K., Yu C., Narayan R., Litvan I., et al. (2019). Wearable Electrochemical Microneedle Sensor for Continuous Monitoring of Levodopa: Toward Parkinson Management. ACS Sens. 4, 2196–2204. 10.1021/acssensors.9b01127 [DOI] [PubMed] [Google Scholar]
  24. Gowers S. A. N., Freeman D. M. E., Rawson T. M., Rogers M. L., Wilson R. C., Holmes A. H., et al. (2019). Development of a Minimally Invasive Microneedle-Based Sensor for Continuous Monitoring of β-Lactam Antibiotic Concentrations In Vivo . ACS Sens. 4, 1072–1080. 10.1021/acsseosors.9b0028810.1021/acssensors.9b00288 [DOI] [PubMed] [Google Scholar]
  25. Grimm H., Olsson I. A. S., Sandøe P. (2019). Harm-Benefit Analysis - what Is the Added Value? A Review of Alternative Strategies for Weighing Harms and Benefits as Part of the Assessment of Animal Research. Lab Anim. 53, 17–27. 10.1177/0023677218783004 [DOI] [PubMed] [Google Scholar]
  26. Griss P., Enoksson P., Tolvanen-Laakso H., Merilainen P., Ollmar S., Stemme G. (2000). “Spiked Biopotential Electrodes,” in Proceedings IEEE Thirteenth Annual International Conference on Micro Electro Mechanical Systems (Cat. No.00CH36308), 323–328. 10.1109/MEMSYS.2000.838537 [DOI] [Google Scholar]
  27. Halvorsen A. R., Helland Å., Gromov P., Wielenga V. T., Talman M.-L. M., Brunner N., et al. (2017). Profiling of microRNAs in Tumor Interstitial Fluid of Breast Tumors - A Novel Resource to Identify Biomarkers for Prognostic Classification and Detection of Cancer. Mol. Oncol. 11, 220–234. 10.1002/1878-0261.12025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. He F., Wen N., Xiao D., Yan J., Xiong H., Cai S., et al. (2020). Aptamer-Based Targeted Drug Delivery Systems: Current Potential and Challenges. Curr. Med. Chem. 27, 2189–2219. 10.2174/0929867325666181008142831 [DOI] [PubMed] [Google Scholar]
  29. He R., Liu H., Fang T., Niu Y., Zhang H., Han F., et al. (2021). A Colorimetric Dermal Tattoo Biosensor Fabricated by Microneedle Patch for Multiplexed Detection of Health‐Related Biomarkers. Adv. Sci. 8, 2103030. 10.1002/advs.202103030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. He R., Niu Y., Li Z., Li A., Yang H., Xu F., et al. (2020). A Hydrogel Microneedle Patch for Point‐of‐Care Testing Based on Skin Interstitial Fluid. Adv. Healthc. Mater. 9, 1901201. 10.1002/adhm.201901201 [DOI] [PubMed] [Google Scholar]
  31. Herrmann A., Haag R., Schedler U. (2021). Hydrogels and Their Role in Biosensing Applications. Adv. Healthc. Mater. 10, 2100062. 10.1002/adhm.202100062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Hou Y., Li Z., Wang Z., Yu H. (2021). Miura-ori Structured Flexible Microneedle Array Electrode for Biosignal Recording. Microsyst Nanoeng 7, 53. 10.1038/s41378-021-00259-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Invernale M. A., Tang B. C., York R. L., Le L., Hou D. Y., Anderson D. G. (2014). Microneedle Electrodes toward an Amperometric Glucose-Sensing Smart Patch. Adv. Healthc. Mater. 3, 338–342. 10.1002/adhm.201300142 [DOI] [PubMed] [Google Scholar]
  34. Jiang X., Lillehoj P. B. (2020). Microneedle-based Skin Patch for Blood-Free Rapid Diagnostic Testing. Microsyst Nanoeng 6, 96. 10.1038/s41378-020-00206-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Jin Q., Chen H.-J., Li X., Huang X., Wu Q., He G., et al. (2019). Reduced Graphene Oxide Nanohybrid-Assembled Microneedles as Mini-Invasive Electrodes for Real-Time Transdermal Biosensing. Small 15, 1804298. 10.1002/smll.201804298 [DOI] [PubMed] [Google Scholar]
  36. Jina A., Tierney M. J., Tamada J. A., McGill S., Desai S., Chua B., et al. (2014). Design, Development, and Evaluation of a Novel Microneedle Array-Based Continuous Glucose Monitor. J. Diabetes Sci. Technol. 8, 483–487. 10.1177/1932296814526191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Ju J., Hsieh C.-M., Tian Y., Kang J., Chia R., Chang H., et al. (2020). Surface Enhanced Raman Spectroscopy Based Biosensor with a Microneedle Array for Minimally Invasive In Vivo Glucose Measurements. ACS Sens. 5, 1777–1785. 10.1021/acssensors.0c00444 [DOI] [PubMed] [Google Scholar]
  38. Kang Y.-E., Seong K.-Y., Yim S.-G., Lee Y., An S.-M., Kim S. C., et al. (2020). Nanochannel-Driven Rapid Capture of Sub-Nanogram Level Biomarkers for Painless Preeclampsia Diagnosis. Biosens. Bioelectron. 163, 112281. 10.1016/j.bios.2020.112281 [DOI] [PubMed] [Google Scholar]
  39. Kashaninejad N., Munaz A., Moghadas H., Yadav S., Umer M., Nguyen N.-T. (2021). Microneedle Arrays for Sampling and Sensing Skin Interstitial Fluid. Chemosensors 9, 83. 10.3390/chemosensors9040083 [DOI] [Google Scholar]
  40. Kathuria H., Kochhar J. S., Kang L. (2018). Micro and Nanoneedles for Drug Delivery and Biosensing. Ther. Deliv. 9, 489–492. 10.4155/tde-2018-0012 [DOI] [PubMed] [Google Scholar]
  41. Kato T., Ueno A., Kataoka S., Hoshino H., Ishiyama Y. (2006). “An Application of Capacitive Electrode for Detecting Electrocardiogram of Neonates and Infants,” in 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 916–919. 10.1109/IEMBS.2006.260362 [DOI] [PubMed] [Google Scholar]
  42. Kim K. B., Choi H., Jung H. J., Oh Y.-J., Cho C.-H., Min J. H., et al. (2019). Mussel-inspired Enzyme Immobilization and Dual Real-Time Compensation Algorithms for Durable and Accurate Continuous Glucose Monitoring. Biosens. Bioelectron. 143, 111622. 10.1016/j.bios.2019.111622 [DOI] [PubMed] [Google Scholar]
  43. Kim S., Lee M. S., Yang H. S. (2021). Enhanced Extraction of Skin Interstitial Fluid Using a 3D Printed Device Enabling Tilted Microneedle Penetration. Scientific Reports 11, 14108. 10.1038/s41598-021-93235-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Kolluru C., Williams M., Chae J., Prausnitz M. R. (2019). Recruitment and Collection of Dermal Interstitial Fluid Using a Microneedle Patch. Adv. Healthc. Mater. 8, 1801262. 10.1002/adhm.201801262 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Kool J., Reubsaet L., Wesseldijk F., Maravilha R. T., Pinkse M. W., D'Santos C. S., et al. (2007). Suction Blister Fluid as Potential Body Fluid for Biomarker Proteins. Proteomics 7, 3638–3650. 10.1002/pmic.200600938 [DOI] [PubMed] [Google Scholar]
  46. Krafft C., Dietzek B., Popp J. (2009). Raman and CARS Microspectroscopy of Cells and Tissues. Analyst 134, 1046–1057. 10.1039/b822354h [DOI] [PubMed] [Google Scholar]
  47. Larrañeta E., Lutton R. E. M., Woolfson A. D., Donnelly R. F. (2016a). Microneedle Arrays as Transdermal and Intradermal Drug Delivery Systems: Materials Science, Manufacture and Commercial Development. Mater. Sci. Eng. R: Rep. 104, 1–32. 10.1016/j.mser.2016.03.001 [DOI] [Google Scholar]
  48. Larrañeta E., McCrudden M. T. C., Courtenay A. J., Donnelly R. F. (2016b). Microneedles: A New Frontier in Nanomedicine Delivery. Pharm. Res. 33, 1055–1073. 10.1007/s11095-016-1885-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Laszlo E., De Crescenzo G., Nieto‐Argüello A., Banquy X., Brambilla D. (2021). Superswelling Microneedle Arrays for Dermal Interstitial Fluid (Prote)Omics. Adv. Funct. Mater. 31, 2106061. 10.1002/adfm.202106061 [DOI] [Google Scholar]
  50. Lee K. T., Muller D. A., Coffey J. W., Robinson K. J., McCarthy J. S., Kendall M. A. F., et al. (2014). Capture of the Circulating Plasmodium Falciparum Biomarker HRP2 in a Multiplexed Format, via a Wearable Skin Patch. Anal. Chem. 86, 10474–10483. 10.1021/ac5031682 [DOI] [PubMed] [Google Scholar]
  51. Lee S. J., Yoon H. S., Xuan X., Park J. Y., Paik S.-J., Allen M. G. (2016). A Patch Type Non-enzymatic Biosensor Based on 3D SUS Micro-Needle Electrode Array for Minimally Invasive Continuous Glucose Monitoring. Sensors Actuators B Chem. 222, 1144–1151. 10.1016/j.snb.2015.08.013 [DOI] [Google Scholar]
  52. Lee W.-C., Gurudatt N. G., Park D.-S., Kim K. B., Choi C. S., Shim Y.-B. (2020). Microneedle Array Sensor for Monitoring Glucose in Single Cell Using Glucose Oxidase-Bonded Polyterthiophene Coated on AuZn Oxide Layer. Sensors Actuators B Chem. 320, 128416. 10.1016/j.snb.2020.128416 [DOI] [Google Scholar]
  53. Li H., Feng J., Wang Y., Liu G., Chen X., Fu L. (2021). Instant and Multiple DNA Extraction Method by Microneedle Patch for Rapid and On-Site Detection of Food Allergen-Encoding Genes. J. Agric. Food Chem. 69, 6879–6887. 10.1021/acs.jafc.1c01077 [DOI] [PubMed] [Google Scholar]
  54. Li J., Song E., Chiang C.-H., Yu K. J., Koo J., Du H., et al. (2018). Conductively Coupled Flexible Silicon Electronic Systems for Chronic Neural Electrophysiology. Proc. Natl. Acad. Sci. U.S.A. 115, E9542–E9549. 10.1073/pnas.1813187115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Li J., Zhang Z., Wang Z., Ren Y., Huang D., Wang Q., et al. (2021). “Annular Micro-needle Array as a Minimally Invasive Flexible Dry Electrode for On-Hair EEG Recording,” in 34th IEEE International Conference on Micro Electro Mechanical Systems (MEMS). Electr Network: IEEE, 270–273. 10.1109/mems51782.2021.9375246 [DOI] [Google Scholar]
  56. Li Q., Zhang Y., Fan H., Gong Y., Xu Y., Lv Q., et al. (2021). In Vitro and In Vivo Detection of Lactate with Nanohybrid-Functionalized Pt Microelectrode Facilitating Assessment of Tumor Development. Biosens. Bioelectron. 191, 113474. 10.1016/j.bios.2021.113474 [DOI] [PubMed] [Google Scholar]
  57. Li Y., Chen Z., Zheng G., Zhong W., Jiang L., Yang Y., et al. (2020). A Magnetized Microneedle-Array Based Flexible Triboelectric-Electromagnetic Hybrid Generator for Human Motion Monitoring. Nano Energy 69, 104415. 10.1016/j.nanoen.2019.104415 [DOI] [Google Scholar]
  58. Li Y., Zhou W., Liu C., Geng D., Dai J., Xie Y., et al. (2021). Fabrication and Characteristic of Flexible Dry Bioelectrodes with Microstructures Inspired by golden Margined century Plant Leaf. Sensors Actuators A Phys. 321, 112397. 10.1016/j.sna.2020.112397 [DOI] [Google Scholar]
  59. Linh V. T. N., Yim S.-G., Mun C., Yang J.-Y., Lee S., Yoo Y. W., et al. (2021). Bioinspired Plasmonic Nanoflower-Decorated Microneedle for Label-free Intradermal Sensing. Appl. Surf. Sci. 551, 149411. 10.1016/j.apsusc.2021.149411 [DOI] [Google Scholar]
  60. Liu P., Du H., Chen Y., Wang H., Mao J., Zhang L., et al. (2020). Polymer Microneedles with Interconnected Porous Structures via a Phase Inversion Route for Transdermal Medical Applications. J. Mater. Chem. B 8, 2032–2039. 10.1039/c9tb02837d [DOI] [PubMed] [Google Scholar]
  61. Liu P., Du H., Wu Z., Wang H., Tao J., Zhang L., et al. (2021). Hydrophilic and Anti-adhesive Modification of Porous Polymer Microneedles for Rapid Dermal Interstitial Fluid Extraction. J. Mater. Chem. B 9, 5476–5483. 10.1039/D1TB00873K [DOI] [PubMed] [Google Scholar]
  62. Liu Y., Yu Q., Luo X., Yang L., Cui Y. (2021). Continuous Monitoring of Diabetes with an Integrated Microneedle Biosensing Device through 3D Printing. Microsyst. Nanoeng. 7, 75. 10.1038/s41378-021-00302-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Luo L., Patel A., Sinko B., Bell M., Wibawa J., Hadgraft J., et al. (2016). A Comparative Study of the In Vitro Permeation of Ibuprofen in Mammalian Skin, the PAMPA Model and Silicone Membrane. Int. J. Pharmaceut. 505, 14–19. 10.1016/j.ijpharm.2016.03.043 [DOI] [PubMed] [Google Scholar]
  64. Miller P., Moorman M., Manginell R., Ashlee C., Brener I., Wheeler D., et al. (2016). Towards an Integrated Microneedle Total Analysis Chip for Protein Detection. Electroanalysis 28, 1305–1310. 10.1002/elan.201600063 [DOI] [Google Scholar]
  65. Miller P. R., Taylor R. M., Tran B. Q., Boyd G., Glaros T., Chavez V. H., et al. (2018). Extraction and Biomolecular Analysis of Dermal Interstitial Fluid Collected with Hollow Microneedles. Commun. Biol. 1, 173. 10.1038/s42003-018-0170-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Mishra R. K., Vinu Mohan A. M., Soto F., Chrostowski R., Wang J. (2017). A Microneedle Biosensor for Minimally-Invasive Transdermal Detection of Nerve Agents. Analyst 142, 918–924. 10.1039/C6AN02625G [DOI] [PubMed] [Google Scholar]
  67. Mohan A. M. V., Windmiller J. R., Mishra R. K., Wang J. (2017). Continuous Minimally-Invasive Alcohol Monitoring Using Microneedle Sensor Arrays. Biosens. Bioelectron. 91, 574–579. 10.1016/j.bios.2017.01.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Moreira A. F., Rodrigues C. F., Jacinto T. A., Miguel S. P., Costa E. C., Correia I. J. (2019). Microneedle-Based Delivery Devices for Cancer Therapy: A Review. Pharmacol. Res. 148, 104438. 10.1016/j.phrs.2019.104438 [DOI] [PubMed] [Google Scholar]
  69. Mukerjee E. V., Collins S. D., Isseroff R. R. (2004). Microneedle Array for Transdermal Biological Fluid Extraction and in Situ Analysis. Sensors and Actuators A: Physical 114, 267–275. 10.1016/j.sna.2003.11.008 [DOI] [Google Scholar]
  70. Müller A. C., Breitwieser F. P., Fischer H., Schuster C., Brandt O., Colinge J., et al. (2012). A Comparative Proteomic Study of Human Skin Suction Blister Fluid from Healthy Individuals Using Immunodepletion and iTRAQ Labeling. J. Proteome Res. 11, 3715–3727. 10.1021/pr3002035 [DOI] [PubMed] [Google Scholar]
  71. Muller D. A., Corrie S. R., Coffey J., Young P. R., Kendall M. A. (2012). Surface Modified Microprojection Arrays for the Selective Extraction of the Dengue Virus NS1 Protein as a Marker for Disease. Anal. Chem. 84, 3262–3268. 10.1021/ac2034387 [DOI] [PubMed] [Google Scholar]
  72. Nalbant A. A., Boyacı E. (2019). Advancements in Non-invasive Biological Surface Sampling and Emerging Applications. Separations 6, 52. 10.3390/separations6040052 [DOI] [Google Scholar]
  73. Ni S., Zhuo Z., Pan Y., Yu Y., Li F., Liu J., et al. (2021). Recent Progress in Aptamer Discoveries and Modifications for Therapeutic Applications. ACS Appl. Mater. Inter. 13, 9500–9519. 10.1021/acsami.0c05750 [DOI] [PubMed] [Google Scholar]
  74. Nicholas D., Logan K. A., Sheng Y., Gao J., Farrell S., Dixon D., et al. (2018). Rapid Paper Based Colorimetric Detection of Glucose Using a Hollow Microneedle Device. Int. J. Pharmaceut. 547, 244–249. 10.1016/j.ijpharm.2018.06.002 [DOI] [PubMed] [Google Scholar]
  75. Niedzwiecki M. M., Samant P., Walker D. I., Tran V., Jones D. P., Prausnitz M. R., et al. (2018). Human Suction Blister Fluid Composition Determined Using High-Resolution Metabolomics. Anal. Chem. 90, 3786–3792. 10.1021/acs.analchem.7b04073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. O'Mahony C., Bocchino A., Haslinger M. J., Fechtig D., Schossleitner K., Galvin P., et al. (2019). “Characterisation of Microneedle-Based ECG Electrodes Fabricated Using an Industrial Injection-Moulding Process,” in 2019 IEEE 32nd International Conference on Micro Electro Mechanical Systems (MEMS), 557–560. 10.1109/MEMSYS.2019.8870721 [DOI] [Google Scholar]
  77. Park J. E., Yonet-Tanyeri N., Vander Ende E., Henry A.-I., Perez White B. E., Mrksich M., et al. (2019). Plasmonic Microneedle Arrays for In Situ Sensing with Surface-Enhanced Raman Spectroscopy (SERS). Nano Lett. 19, 6862–6868. 10.1021/acs.nanolett.9b02070 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Parrilla M., Cuartero M., Padrell Sánchez S., Rajabi M., Roxhed N., Niklaus F., et al. (2019). Wearable All-Solid-State Potentiometric Microneedle Patch for Intradermal Potassium Detection. Anal. Chem. 91, 1578–1586. 10.1021/acs.analchem.8b04877 [DOI] [PubMed] [Google Scholar]
  79. Pei W., Zhang H., Wang Y., Guo X., Xing X., Huang Y., et al. (2017). Skin-Potential Variation Insensitive Dry Electrodes for ECG Recording. IEEE Trans. Biomed. Eng. 64, 463–470. 10.1109/TBME.2016.2562702 [DOI] [PubMed] [Google Scholar]
  80. Peng H. L., Liu J. Q., Dong Y.-Z., Yang B., Chen X., Yang C.-S. (2016). Parylene-based Flexible Dry Electrode for Bioptential Recording. Sensors Actuators B Chem. 231, 1–11. 10.1016/j.snb.2016.02.061 [DOI] [Google Scholar]
  81. Rawson T. M., Gowers S. A. N., Freeman D. M. E., Wilson R. C., Sharma S., Gilchrist M., et al. (2019). Microneedle Biosensors for Real-Time, Minimally Invasive Drug Monitoring of Phenoxymethylpenicillin: A First-In-Human Evaluation in Healthy Volunteers. Lancet Digit Health 1, E335–E343. 10.1016/s2589-7500(19)30131-1 [DOI] [PubMed] [Google Scholar]
  82. Ren L., Chen Z., Wang H., Dou Z., Liu B., Jiang L. (2020a). Fabrication of Bendable Microneedle-Array Electrode by Magnetorheological Drawing Lithography for Electroencephalogram Recording. IEEE Trans. Instrum. Meas. 69, 8328–8334. 10.1109/tim.2020.2990523 [DOI] [Google Scholar]
  83. Ren L., Liu B., Zhou W., Jiang L. (2020b). A Mini Review of Microneedle Array Electrode for Bio-Signal Recording: A Review. IEEE Sensors J. 20, 577–590. 10.1109/jsen.2019.2944847 [DOI] [Google Scholar]
  84. Ren L., Xu S., Gao J., Lin Z., Chen Z., Liu B., et al. (2018). Fabrication of Flexible Microneedle Array Electrodes for Wearable Bio-Signal Recording. Sensors 18, 1191. 10.3390/s18041191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Ribet F., Stemme G., Roxhed N. (2018). Real-time Intradermal Continuous Glucose Monitoring Using a Minimally Invasive Microneedle-Based System. Biomed. Microdevices 20, 101. 10.1007/s10544-018-0349-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Sagoe-Moses C., Pearson R. D., Perry J., Jagger J. (2001). Risks to Health Care Workers in Developing Countries. N. Engl. J. Med. 345, 538–541. 10.1056/nejm200108163450711 [DOI] [PubMed] [Google Scholar]
  87. Samper I. C., Gowers S. A. N., Booth M. A., Wang C., Watts T., Phairatana T., et al. (2019). Portable Microfluidic Biosensing System for Real-Time Analysis of Microdialysate in Transplant Kidneys. Anal. Chem. 91, 14631–14638. 10.1021/acs.analchem.9b03774 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Sato T., Okada S., Hagino K. (2011). Measurement of Glucose Area Under the Curve Using Minimally Invasive Interstitial Fluid Extraction Technology: Evaluation of Glucose Monitoring Concepts Without Blood Sampling. Diabetes Technology and Therapeutics 13, 1194–1200. 10.1089/dia.2011.0089 [DOI] [PubMed] [Google Scholar]
  89. Satti A. T., Kim J., Yi E., Cho H.-y., Cho S. (2021). Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip. Sensors 21, 5091. 10.3390/s21155091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Satti A. T., Park J., Park J., Kim H., Cho S. (2020). Fabrication of Parylene-Coated Microneedle Array Electrode for Wearable ECG Device. Sensors 20, 5183. 10.3390/s20185183 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Senel M., Dervisevic M., Voelcker N. H. (2019). Gold Microneedles Fabricated by Casting of Gold Ink Used for Urea Sensing. Mater. Lett. 243, 50–53. 10.1016/j.matlet.2019.02.014 [DOI] [Google Scholar]
  92. Sharma S., El-Laboudi A., Reddy M., Jugnee N., Sivasubramaniyam S., El Sharkawy M., et al. (2018). A Pilot Study in Humans of Microneedle Sensor Arrays for Continuous Glucose Monitoring. Anal. Methods 10, 2088–2095. 10.1039/c8ay00264a [DOI] [Google Scholar]
  93. Sharma S., Huang Z., Rogers M., Boutelle M., Cass A. E. G. (2016). Evaluation of a Minimally Invasive Glucose Biosensor for Continuous Tissue Monitoring. Anal. Bioanal. Chem. 408, 8427–8435. 10.1007/s00216-016-9961-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Shrivastav A. M., Cvelbar U., Abdulhalim I. (2021). A Comprehensive Review on Plasmonic-Based Biosensors Used in Viral Diagnostics. Commun. Biol. 4, 70. 10.1038/s42003-020-01615-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Sivamani R. K., Liepmann D., Maibach H. I. (2007). Microneedles and Transdermal Applications. Expert Opin. Drug Deliv. 4, 19–25. 10.1517/17425247.4.1.19 [DOI] [PubMed] [Google Scholar]
  96. Skaria E., Patel B. A., Flint M. S., Ng K. W. (2019). Poly(lactic acid)/Carbon Nanotube Composite Microneedle Arrays for Dermal Biosensing. Anal. Chem. 91, 4436–4443. 10.1021/acs.analchem.8b04980 [DOI] [PubMed] [Google Scholar]
  97. Strambini L. M., Longo A., Scarano S., Prescimone T., Palchetti I., Minunni M., et al. (2015). Self-powered Microneedle-Based Biosensors for Pain-Free High-Accuracy Measurement of Glycaemia in Interstitial Fluid. Biosens. Bioelectron. 66, 162–168. 10.1016/j.bios.2014.11.010 [DOI] [PubMed] [Google Scholar]
  98. Sun Y., Ren L., Jiang L., Tang Y., Liu B. (2018). Fabrication of Composite Microneedle Array Electrode for Temperature and Bio-Signal Monitoring. Sensors 18, 1193. 10.3390/s18041193 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Swindle M. M., Makin A., Herron A. J., Clubb F. J., Frazier K. S. (2012). Swine as Models in Biomedical Research and Toxicology Testing. Vet. Pathol. 49, 344–356. 10.1177/0300985811402846 [DOI] [PubMed] [Google Scholar]
  100. Tachikawa H., Takano N., Nishiyabu K., Miki N., Ami Y. (2010). Effect of Tension and Curvature of Skin on Insertion Characteristics of Microneedle Array. J. Solid Mech. Mater. Eng. 4, 470–480. 10.1299/jmmp.4.470 [DOI] [Google Scholar]
  101. Takeuchi K., Takama N., Kinoshita R., Okitsu T., Kim B. (2020). Flexible and Porous Microneedles of PDMS for Continuous Glucose Monitoring. Biomed. Microdevices 22, 79. 10.1007/s10544-020-00532-1 [DOI] [PubMed] [Google Scholar]
  102. Takeuchi K., Takama N., Sharma K., Paul O., Ruther P., Suga T., et al. (2022). Microfluidic Chip Connected to Porous Microneedle Array for Continuous ISF Sampling. Drug Deliv. Transl. Res. 12, 435–443. 10.1007/s13346-021-01050-0 [DOI] [PubMed] [Google Scholar]
  103. Tallgren P., Vanhatalo S., Kaila K., Voipio J. (2005). Evaluation of Commercially Available Electrodes and Gels for Recording of Slow EEG Potentials. Clin. Neurophysiol. 116, 799–806. 10.1016/j.clinph.2004.10.001 [DOI] [PubMed] [Google Scholar]
  104. Tariq N., Ashraf M. W., Tayyaba S. (2021). A Review on Solid Microneedles for Biomedical Applications. J. Pharm. Innov. 20. 10.1007/s12247-021-09586-x [DOI] [Google Scholar]
  105. Tasca F., Tortolini C., Bollella P., Antiochia R. (2019). Microneedle-based Electrochemical Devices for Transdermal Biosensing: a Review. Curr. Opin. Electrochem. 16, 42–49. 10.1016/j.coelec.2019.04.003 [DOI] [Google Scholar]
  106. Teymourian H., Moonla C., Tehrani F., Vargas E., Aghavali R., Barfidokht A., et al. (2020). Microneedle-Based Detection of Ketone Bodies along with Glucose and Lactate: Toward Real-Time Continuous Interstitial Fluid Monitoring of Diabetic Ketosis and Ketoacidosis. Anal. Chem. 92, 2291–2300. 10.1021/acs.analchem.9b05109 [DOI] [PubMed] [Google Scholar]
  107. Totti S., Ng K. W., Dale L., Lian G., Chen T., Velliou E. G. (2019). A Novel Versatile Animal-free 3D Tool for Rapid Low-Cost Assessment of Immunodiagnostic Microneedles. Sensors Actuators B Chem. 296, 126652. 10.1016/j.snb.2019.126652 [DOI] [Google Scholar]
  108. Ventrelli L., Marsilio Strambini L., Barillaro G. (2015). Microneedles for Transdermal Biosensing: Current Picture and Future Direction. Adv. Healthc. Mater. 4, 2606–2640. 10.1002/adhm.201500450 [DOI] [PubMed] [Google Scholar]
  109. Waghule T., Singhvi G., Dubey S. K., Pandey M. M., Gupta G., Singh M., et al. (2019). Microneedles: A Smart Approach and Increasing Potential for Transdermal Drug Delivery System. Biomed. Pharmacother. 109, 1249–1258. 10.1016/j.biopha.2018.10.078 [DOI] [PubMed] [Google Scholar]
  110. Wang H., Sheng T., Zhao S., Zheng Y., Yu J., Zhang Y., et al. (2021a). Recent Advances in Transdermal Sensors for Glucose Monitoring. Curr. Opin. Biomed. Eng. 20, 100326. 10.1016/j.cobme.2021.100326 [DOI] [Google Scholar]
  111. Wang H., Wu T., Li M., Tao Y. (2021b). Recent Advances in Nanomaterials for Colorimetric Cancer Detection. J. Mater. Chem. B 9, 921–938. 10.1039/d0tb02163f [DOI] [PubMed] [Google Scholar]
  112. Wang P. M., Cornwell M., Prausnitz M. R. (2005). Minimally Invasive Extraction of Dermal Interstitial Fluid for Glucose Monitoring Using Microneedles. Diabetes Tech. Ther. 7, 131–141. 10.1089/dia.2005.7.131 [DOI] [PubMed] [Google Scholar]
  113. Wang R., Jiang X., Wang W. (2017). A Microneedle Electrode Array on Flexible Substrate for Long-Term EEG Monitoring. Sensors and Actuators B: Chemical 244, 750–758. 10.1016/j.snb.2017.01.052 [DOI] [Google Scholar]
  114. Wang Y., Ausri I. R., Wang Z., Derry C., Tang X. S. (2020). Towards a Transdermal Membrane Biosensor for the Detection of Lactate in Body Fluids. Sensors Actuators B Chem. 308, 127645. 10.1016/j.snb.2019.127645 [DOI] [Google Scholar]
  115. Wang Y., Jiang L., Ren L., Pingao H., Yu M., Tian L., et al. (2021). Towards Improving the Quality of Electrophysiological Signal Recordings by Using Microneedle Electrode Arrays. IEEE Trans. Biomed. Eng. 68, 3327–3335. 10.1109/tbme.2021.3070541 [DOI] [PubMed] [Google Scholar]
  116. Wang Z., Li H., Wang J., Chen Z., Chen G., Wen D., et al. (2020). Transdermal Colorimetric Patch for Hyperglycemia Sensing in Diabetic Mice. Biomaterials 237, 119782. 10.1016/j.biomaterials.2020.119782 [DOI] [PubMed] [Google Scholar]
  117. Wang Z., Luan J., Seth A., Liu L., You M., Gupta P., et al. (2021). Microneedle Patch for the Ultrasensitive Quantification of Protein Biomarkers in Interstitial Fluid. Nat. Biomed. Eng. 5, 64–76. 10.1038/s41551-020-00672-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Xu K., Zhou R., Takei K., Hong M. (2019). Toward Flexible Surface‐Enhanced Raman Scattering (SERS) Sensors for Point‐of‐Care Diagnostics. Adv. Sci. 6, 1900925. 10.1002/advs.201900925 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Xue P., Zhang L., Xu Z., Yan J., Gu Z., Kang Y. (2018). Blood Sampling Using Microneedles as a Minimally Invasive Platform for Biomedical Diagnostics. Appl. Mater. Today 13, 144–157. 10.1016/j.apmt.2018.08.013 [DOI] [Google Scholar]
  120. Yang B., Fang X., Kong J. (2020). Engineered Microneedles for Interstitial Fluid Cell‐Free DNA Capture and Sensing Using Iontophoretic Dual‐Extraction Wearable Patch. Adv. Funct. Mater. 30, 2000591. 10.1002/adfm.202000591 [DOI] [Google Scholar]
  121. Yang B., Fang X., Kong J. (2019). In Situ Sampling and Monitoring Cell-Free DNA of the Epstein-Barr Virus from Dermal Interstitial Fluid Using Wearable Microneedle Patches. ACS Appl. Mater. Inter. 11, 38448–38458. 10.1021/acsami.9b12244 [DOI] [PubMed] [Google Scholar]
  122. Yang J., Liu X., Fu Y., Song Y. (2019). Recent Advances of Microneedles for Biomedical Applications: Drug Delivery and beyond. Acta Pharmaceut. Sin. B 9, 469–483. 10.1016/j.apsb.2019.03.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Yi K., Wang Y., Shi K., Chi J., Lyu J., Zhao Y. (2021). Aptamer-decorated Porous Microneedles Arrays for Extraction and Detection of Skin Interstitial Fluid Biomarkers. Biosens. Bioelectron. 190, 113404. 10.1016/j.bios.2021.113404 [DOI] [PubMed] [Google Scholar]
  124. Yu L. M., Tay F. E. H., Guo D. G., Xu L., Yap K. L. (2009). A Microfabricated Electrode with Hollow Microneedles for ECG Measurement. Sensors Actuators A Phys. 151, 17–22. 10.1016/j.sna.2009.01.020 [DOI] [Google Scholar]
  125. Yuen C., Liu Q. (2014). Towards In Vivo intradermal Surface Enhanced Raman Scattering (SERS) Measurements: Silver Coated Microneedle Based SERS Probe. J. Biophoton. 7, 683–689. 10.1002/jbio.201300006 [DOI] [PubMed] [Google Scholar]
  126. Zeng Y., Wang J., Wang Z., Chen G., Yu J., Li S., et al. (2020). Colloidal Crystal Microneedle Patch for Glucose Monitoring. Nano Today 35, 100984. 10.1016/j.nantod.2020.100984 [DOI] [Google Scholar]
  127. Zhang B. L., Yang Y., Zhao Z. Q., Guo X. D. (2020). A Gold Nanoparticles Deposited Polymer Microneedle Enzymatic Biosensor for Glucose Sensing. Electrochimica Acta 358, 136917. 10.1016/j.electacta.2020.136917 [DOI] [Google Scholar]
  128. Zhang X., Chen G., Bian F., Cai L., Zhao Y. (2019). Encoded Microneedle Arrays for Detection of Skin Interstitial Fluid Biomarkers. Adv. Mater. 31, 1902825. 10.1002/adma.201902825 [DOI] [PubMed] [Google Scholar]
  129. Zhao L., Wen Z., Jiang F., Zheng Z., Lu S. (2020). Silk/Polyols/GOD Microneedle Based Electrochemical Biosensor for Continuous Glucose Monitoring. RSC Adv. 10, 6163–6171. 10.1039/c9ra10374k [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Zheng M., Wang Z., Chang H., Wang L., Chew S. W. T., Lio D. C. S., et al. (2020). Osmosis‐Powered Hydrogel Microneedles for Microliters of Skin Interstitial Fluid Extraction within Minutes. Adv. Healthc. Mater. 9, 1901683. 10.1002/adhm.201901683 [DOI] [PubMed] [Google Scholar]
  131. Zhou J.-X., Tang L.-N., Yang F., Liang F.-X., Wang H., Li Y.-T., et al. (2017). MoS2/Pt Nanocomposite-Functionalized Microneedle for Real-Time Monitoring of Hydrogen Peroxide Release from Living Cells. Analyst 142, 4322–4329. 10.1039/c7an01446e [DOI] [PubMed] [Google Scholar]
  132. Zhu J., Zhou X., Kim H. J., Qu M., Jiang X., Lee K., et al. (2020). Gelatin Methacryloyl Microneedle Patches for Minimally Invasive Extraction of Skin Interstitial Fluid. Small 16, 1905910. 10.1002/smll.201905910 [DOI] [PMC free article] [PubMed] [Google Scholar]

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