Abstract
Comprehensive and continuous assessment of organ physiology and biochemistry, beyond the capabilities of conventional monitoring tools, can enable timely interventions for perioperative complications such as organ ischemia and transplant rejection. Here, we present an integrated bioresorbable system that enables multiplexed, real-time, and spatially mapped electrochemical monitoring of deep organs throughout the surgical course. Using a 3D printing-based, photolithography-free fabrication process, the system features a flexible, 3D programmed, individually addressable microneedle sensor array with backward-facing barbs for conformal and stable organ interfacing and 3D parenchymal probing. Electrochemical functionalization of microneedle tips enables concurrent monitoring and spatial mapping of key biochemical markers, such as electrolytes, metabolites, and oxygenation, in deep organs for at least 7 days. An electrically programmable self-destruction mechanism offers controllability over the degradation process, eliminating the need for device retrieval. Demonstrations in clinically relevant complications like kidney ischemia and gut disorders in animal models highlight the broad applications of this device in intra- and postoperative monitoring, advancing perioperative care and critical care medicine.
Comprehensive and continuous monitoring of organ functions throughout the surgical course, from intraoperative evaluation to postoperative recovery, is essential for optimal patient outcomes.1, 2 Intraoperative complications, arising from surgical procedures, anesthesia, medications, and individual patient susceptibilities, could lead to severe or even irreversible organ dysfunction that cannot be timely informed by traditional vital sign based intraoperative monitoring [e.g., electroencephalography (EEG), electrocardiography (ECG), blood pressure (BP), oxygen saturation (SpO2)].3-7 Examples include acute kidney and liver injuries due to ischemia and/or nephron/hepatotoxic agents, and bladder dysfunction due to accidental nerve damages.8-10 On the other hand, capabilities in monitoring organ conditions in the postoperative phase, including potential surgical complications (e.g., anastomotic leak after gastric surgeries),11 restoration of organ functions (e.g., bladder control after partial cystectomy),12 transplant rejection (e.g., the kidney and liver),13-15 and stress responses to surgery (e.g., metabolic disorders, gut dysmotility),16 is crucial to the recovery of patients. The first few postoperative weeks represent the most critical window, during which patients are at the highest risk for major surgical complications.17 These complications often develop insidiously, and conventional methods like blood tests often lack specificity and show delayed responses to localized organ conditions.18, 19 Radiological tests, while valuable, could only be performed intermittently in specialized facilities.20, 21 Consequently, these conditions often remain undetected until after the development of severe outward symptoms, leading to substantial increases in morbidity and mortality.22 These challenges underscore a critical, unmet clinical need for comprehensive and continuous assessment of organ functions to facilitate timely interventions during both intra- and postoperative phases.23
Biochemical markers serve as highly sensitive and specific indicators of organ dysfunction and disease.24 Advances in bioelectronics and biosensors have driven significant progress in developing devices for biochemical monitoring of relatively shallow or accessible body regions.25 Examples include skin-mounted microneedle devices for tracking subcutaneous metabolites and electrolytes,26-31 catheter- and fiber-based devices for monitoring pharmaceuticals and metabolites in superficial veins,32-36 and miniaturized probes for detecting ions and neurotransmitters in the brain.37, 38 In contrast, developing devices for biochemical monitoring in deep organs, such as the kidney and liver, presents substantial challenges because of (1) the need for miniature, soft, and highly mechanically compliant form factors that can access, interface with, probe, and affix to deep organs without causing irritation or undue burden on the body; (2) the requirement for chronic functionality, as frequent replacement is impractical; and (3) the necessity of careful consideration of their eventual clearance from the body. Existing deep-organ monitoring devices,39-42 however, exhibit substantial limitations in these regards: (1) They typically have rigid and/or bulky form factors due to the presence of batteries and circuit boards, which can irritate surrounding tissue and dislodge over time; (2) they primarily monitor biophysical parameters (temperature, pressure, impedance, oxygenation, etc.) and lack of biochemical monitoring capabilities,39-42 not to mention their multiplexed and chronic monitoring; (3) they typically require secondary surgery for device retrieval, posing additional risks and clinical burdens. Thus, devices that can access, interface with, probe, and affix to deep organs with minimal irritation, chronically monitor a multiplexed panel of biochemical markers, and eliminate the need for surgical retrieval represent an unrealized ideal in deep organ monitoring.
Towards addressing the challenges of deep organ interfacing and biochemical detection, microneedles hold great potential by being able to minimally invasively access and probe organ parenchyma. Extensive methods, including microfabrication,43, 44 micromachining,45, 46 3D printing,47, 48 micromolding,49, 50 and hybrid approaches,46, 51 have been developed for fabricating microneedle arrays, with recent advances that combine rigid microneedles with flexible substrates to enable conformal interfacing with the human body.52, 53 Primarily developed for skin-mounted uses, microneedle sensors have enabled high-quality recording of electrophysiology (e.g., electromyography54-56) and accurate monitoring of biochemical markers in the subcutaneous space when electrochemically functionalized.26-29, 57, 58 Despite such progress, existing fabrication methods for flexible microneedle arrays still have substantial limitations for monitoring deep organs: (1) Microfabrication enables the fabrication of highly miniaturized and sophisticated patterns but is costly, labor-intensive, and reliant on sophisticated equipment.54 Additionally, as a planar fabrication technology, it is not suitable for deep (~mm) and sophisticated vertical structures, and does not offer programmability of microneedle lengths across the array, limiting the ability to target organ regions of varying depths. (2) 3D printing and micromachining, often combined with micromolding, allow for relatively simple and low-cost fabrication of 3D programmed microneedle patterns. However, they do not support individual addressability of microneedles that would otherwise require photolithography-defined metal patterning or sophisticated multi-material printing strategies,29, 53, 59, 60 disallowing spatially resolved mapping of organ states across different functional regions. (3) Conventional microneedles show poor tissue adhesion, making stable affixation to organs challenging.36 Recent development of microneedles with swellable tips,61 tilted angles,62 and backward-facing barbs,63-65 provided enhancement of tissue retention by up to 18 times,65 but they rely on complex fabrication techniques, including 4D printing,65 magnetorheological drawing lithography,63 two-photon photopolymerization,64 microfabrication,62 and specialized polymer coatings.61 Overcoming these limitations is essential for developing microneedle-based deep organ monitoring technologies. Towards addressing the challenges related to device clearance from the body, bioresorbable electronics has emerged as a promising solution by enabling device disintegration and dissolution in the body after a period of operation.66 Leveraging various materials and manufacturing strategies (e.g., photolithography, 3D printing),67-71 a diverse range of bioresorbable devices have been developed for delivering stimulations and drugs,72, 73 monitoring physical parameters such as strain, pressure, temperature, flow, and biopotential,74-79 and a limited set of electroactive chemicals such as dopamine and nitric oxide.80, 81 However, existing bioresorbable electronics remain limited in their capabilities for biochemical monitoring in deep organs: (1) Electrochemical detection relies on a standard, non-bioresorbable three-electrode system, comprising a working electrode (WE, typically Au), a reference electrode (RE, typically Ag/AgCl), and a counter electrode (CE, typically Pt). While recent work based on galvanic coupling of bioresorbable metals enabled a bioresorbable three-electrode system for glucose monitoring, challenges such as potential drift and the need for a complex signal compensation module limit its practical applicability.82 (2) Current bioresorbable devices lack controllability over their degradation process, as they follow natural bioresorption processes with limited tunability. (3) Electrochemical sensing relies on a potentiostat chip, which is not bioresorbable. While chip-less readout schemes, such as ultrasound and inductor-capacitor (LC) circuits,83, 84 enabled fully bioresorbable systems for select parameters, they are not generalizable for electrochemical measurements that require sophisticated interrogation waveforms. An alternative that has been explored is to externalize the electronics and insert the probe percutaneously, which, however, is susceptible to probe displacement and wound irritation due to external forces.15 Addressing these challenges is critical for advancing bioresorbable electronics for deep organ biochemical monitoring.
Here we report an integrated system that collectively addresses these challenges and offers the capability of chronically monitoring and spatially mapping multiple biochemical markers in deep organs for at least 7 postoperative days and performing electrically programmed self-destruction upon completion of monitoring. Key features and advances include: (1) Conformal interfacing, 3D probing, and stable affixation to deep organs through a flexible, 3D programmed, individually addressable, barbed, and bioresorbable microneedle array enabled by a novel 3D printing-based, photolithography-free fabrication process; (2) a rolling-based bioresorbable electronic suture (e-suture) with parallel electrical interconnects for connecting the implant and skin-mounted electronics, eliminating the need for electronics implantation while supporting normal wound healing; (3) multiparametric monitoring of electrolytes (e.g., Na+, K+, pH), metabolites (e.g., glucose (GLU), uric acid (UA), lactic acid (LA)), tissue oxygenation, and electrophysiology and multisite mapping of up to 32 sites, with antibiofouling strategies that offer at least 7 days of in vivo monitoring; and (4) electrically triggered dissolution of electrochemical sensing electrodes that offers degradability of the electrodes and programmable self-destruction of the device after use. Demonstrations in rodent models for monitoring acute and chronic ischemia in the kidney and metabolic disorders in the gut highlight extensive capabilities of the device for comprehensive and continuous assessment of organ functions in clinically relevant complications.
Results
Design concepts and system features
The system consists of a bioresorbable implant capable of monitoring diverse biochemical markers and electrophysiology of deep organs, a skin-mounted wireless electronics module, and a bioresorbable e-suture with parallel electrical interconnects that connects the implantable and wearable parts. The system monitors organ states and streams data in real time to remote monitors in intra- and postoperative settings (Fig. 1a). Upon completion of monitoring, the implant is electrically programmed to initiate self-destruction and gradually bioresorbs in the body, eliminating the need for secondary surgery to retrieve the implant. The bioresorbable implant (Figs. 1b-c) is a flexible microneedle array consisting of poly(lactic-co-glycolic acid) (PLGA) microneedles and substrate, molybdenum (Mo) electrical interconnects, and polyanhydride (PA) encapsulations, all of which are bioresorbable through hydrolysis (Extended Fig. 1a).73, 79 The microneedles are externally coated with electrode materials (Au, Pt, Ag/AgCl) for electrochemical measurement, which can be electrically dissolved to expose the underlying bioresorbable materials and initiate self-destruction. The microneedle sensors are individually functionalized and addressed to measure various biochemical markers, such as GLU, LA, UA, pH, O2, Na+, and K+, as well as electrophysiology, such as electromyography (EMG). The microneedle array seamlessly conforms to the organ surface, probes the organ parenchyma in a spatiotemporally resolved manner, and anchors firmly to tissue through backward-facing barbs.
Fig. 1 ∣. Design concepts and system features.

a, Schematic illustration of the bioresorbable implant for intra- and postoperative monitoring of organ states. b, Exploded-view schematic illustration of the microneedle sensor array for biochemical and electrophysiological monitoring. c, Photograph of a 6x6 microneedle sensor array. d, Block diagram of the electronics and sensing functionalities for multimodal and multisite monitoring of organs. e, Rolling and unrolling of the e-suture for connecting the implantable and wearable parts. f, Photograph of a device with an e-suture with sufficient slack for implantation in rats. g, Photographs of the electrically triggered self-destruction of the implant in PBS at 37°C. h, Micro-CT images of a 3×3 device implanted in an adult rat at Week 0 and Week 4.
As shown in Fig. 1d and Supplementary Fig. 1, the wireless electronics module (footprint: 21 mm×25 mm) consists of a BLE system-on-a-chip (SoC, nRF52832), an electrochemical frontend (AD5941), a 32-channel switch matrix (ADG732), a voltage buffer array (ADA4505), and a small lithium-polymer battery (65 mAh). The 32-channel switch matrix allows for multimodal monitoring of up to 32 amperometric biomarkers (e.g., GLU, LA, UA, O2), multisite mapping of a single biomarker across up to 32 sites, or a combination of these 2 modes. The voltage buffer array allows for monitoring of multiple potentiometric biomarkers, such as K+, Na+, pH, and biopotential. The device features low power consumption of ~0.5 mA in idle mode and ~7 mA in active measurement mode (Supplementary Fig. 2).
The electrical interconnects of the microneedle array can be rolled into an e-suture with parallel interconnects (Fig. 1e, Extended Fig. 1b).85, 86 While surface-coated functional sutures have been developed for sensing strain,87 pH,88 biopotential,89 and chemicals from gastric leak,90 they are non-bioresorbable and contain only one or few electrical interconnects, thereby not meeting the needs of this application. The diameter of the rolled e-suture is dependent on the thickness of the substrate and the total width of the parallel interconnects (Extended Figs. 1c-d, Supplementary Note 1). With a PLGA substrate of 40 μm thick, the e-suture for a 3×3 microneedle array has a diameter of ~0.5 mm, which corresponds to a standard United States Pharmacopeia (USP) #0 suture typically used for abdominal wall closure and is smaller in diameter than a standard USP #4 suture (Fig. 1e, middle left; Extended Figs. 1e-f). It also uses a standard suture material (PLGA), facilitating seamless use as standard suture (Fig. 1e, middle right). During rolling, the middle segment undergoes thermal treatment at 80°C, above the glass transition point of PLGA (<60°C),91 to permanently fuse it into a stable structure. The distal segment of the e-suture is not thermally treated, allowing for unrolling and connection to the electronics module (Fig. 1e, right). E-sutures with extended lengths (~10 cm, Fig. 1f) provide slack between the microneedle array and the abdominal wall, preventing displacement caused by abdominal wall movement in small animals. Photographs of completed 3×3 and 6×6 devices on the palm further illustrates the form factor of the devices suitable for small and large animals (Fig. 1f, Extended Figs. 1g-h), respectively.
The bioresorbable implant remains visually intact for 4 weeks in phosphate-buffered saline (PBS) at 37°C that simulates physiological environment (Extended Fig. 1i). The individual electrical interconnects of the e-suture maintain stable electrical resistance during this period (Extended Fig. 1j). In comparison, upon triggering self-destruction after Week 2, the implant gradually undergoes bioresorption and disappears by Week 9, highlighting the programmability of the bioresorption process (Fig. 1g). Microscale computed tomography (micro-CT) imaging (Fig. 1h, left) shows the device implanted in a rat, with the electronics mounted on the skin. When triggered after Week 1, the implanted device degrades rapidly in vivo, becoming undetectable by Week 4. These findings collectively demonstrate the device’s form factor, functionality, bioresorbability, and self-destruction capability, making it suitable for comprehensive and continuous monitoring of organ health throughout the surgical course.
3D printing-based, photolithography-free fabrication of the microneedle array
Fig. 2 and Supplementary Fig. 3 illustrate the fabrication process. This process leverages standard 3D printing, with materials and parameters detailed in Supplementary Fig. 4. It offers high programmability of microneedle diameters (≥100 μm), sharpness (radius of curvature: ≥10 μm), lengths (from sub-millimeters to millimeters) across the array (Supplementary Fig. 5). However, as a layer-by-layer manufacturing technology, 3D printing does not support the direct manufacturing of microneedles with backward-facing barbs because printing a layer without the support of a preceding layer is impossible. To address this limitation, this work proposes a deformation-coupled 3D printing technique. The process starts with standard 3D printing of microneedles with horizontal barbs and serpentine interconnects (Figs. 2a-b). By default, the microneedles are 300 μm in diameter and 1000 μm in length, and the barbs are 80 μm in diameter and 400 μm in length. Next, a polydimethylsiloxane (PDMS) mold with cone-shaped patterns compresses the horizontal barbs into pre-designed backward-facing barbs (described in detail in the subsequent section), followed by curing of the 3D-printed resin under 405 nm ultraviolet (UV) light and removal of the PDMS mold (Figs. 2c-d). A double molding process using Ecoflex then transfers the barbed microneedle patterns from 3D printed resin to bioresorbable PLGA (Figs. 2e-f). Subsequently, sputtering of Mo (500 nm) on the entire sample (Figs. 2g-h) followed by Cr/Au (10/100 nm) on the microneedles using a paper mask that exposes the microneedles completes the metallization process (Figs. 2i-j). Next, a transfer printing process transfers and bonds the metalized PLGA structure to a thin film of PLGA (20 μm thick) at 80°C (Figs. 2k-l), followed by covering another PLGA film (20 μm thick) on the top. The entire substrate is immersed in a mold with PA to form a PA encapsulation layer of 100 μm thick after UV curing at 365 nm. Afterward, a PDMS slab screens the sensing microneedle tips and self-stops upon reaching the barbs, followed by spin coating a thin layer of PA (~10 μm) to encapsulate the microneedle body (Figs. 2m-n). Next, electrodeposition of gold nanoparticles (AuNPs) using HAuCl4 solution (see Methods) on the sensing microneedle tips enhances the electrode surface area and facilitates faster electron transfer kinetics (Figs. 2o-p).92 The AuNPs are densely packed and/or coalesced, with a diameter of ~20 nm (Fig. 2p, inset). This simple method provides strong adhesion to the electrode compared to colloidal AuNPs,93-95 as evidenced by the stable morphology and sensing performance in chronic in vivo animal studies in subsequent sections. Lastly, according to specific sensor functions, functionalization of individual microneedles with sensing and protective coatings (Supplementary Fig. 6) completes the fabrication process.
Fig. 2 ∣. Photographs and micrographs of the 3D printing-based, photolithography-free fabrication process.

a-b, Photograph (a) and magnified view (b) of the 3D-printed mold. c-d, Photograph (c) and magnified view (d) of the barb deformation process using a PDMS mold. e-f, Photograph (e) and magnified view (f) of the PLGA microneedle array. g-h, Photograph (g) and magnified view (h) after Mo sputtering. i-j, Photograph (i) and magnified view (j) after Au sputtering. k-l, Photograph (k) and magnified view (l) after bonding to PLGA substrates. m-n, Photograph (m) and magnified view (n) after PA encapsulation. The inset shows a PA-encapsulated microneedle body. o-p, Photograph (o) and magnified view (p) after electrodeposition of AuNPs.
In vitro and in vivo characterizations of the system
Enhancing the tissue adhesion of microneedles critically relies on the monolithic fabrication of backward-facing barbs, as detailed in Extended Fig. 2a. Following deforming horizontal barbs into backward-facing barbs using a PDMS mold, a molding process negatively transfers the patterns to Ecoflex. After temporarily bonding the Ecoflex mold to a glass slide to form an enclosed structure, PLGA melts and infiltrates into the mold in a vacuum oven (180°C), replicates the patterns from 3D-printed resin to PLGA. The low modulus of Ecoflex is crucial for the high-fidelity transfer of patterns with backward-facing barbs, as compared to the higher modulus of PDMS that distorts the transferred patterns (Supplementary Fig. 7). The PDMS mold for deformation consists of conical cavities with approximately the same heights as the microneedles and pre-designed angles to define the shape of the deformed barbs (Supplementary Fig. 8a). During compression, the barbs deform to the shape of the cones (Supplementary Fig. 8b). Cones with smaller angles results in more deformed barbs (Supplementary Fig. 8c). This method also allows for the monolithic manufacturing of multiple rows of barbs on a single microneedle (Fig. 3a). Furthermore, a single PDMS mold with individualized cone designs for microneedles of different dimensions allows for the manufacturing of barbs for the entire array in a single process with high yield (Fig. 3b and Supplementary Fig. 9). Tests in ex vivo tissue, using barbs deformed by a 25° mold, indicate that microneedles with backward-facing barbs withstand strong pulling forces (Fig. 3c), which aligns well with simulation results (Fig. 3d and Extended Figs. 2b-d). The critical pull-out force, determined by applying different gravitational forces through weights (Extended Figs. 2e), increases from unmeasurable, to 18.1, 43.6, and 61.7 mN for microneedles with 0, 1, 2, and 3 rows of barbs, respectively, which also agrees well with simulation results (Extended Figs. 2f-g). More accurate insertion tests in rat kidneys, using a high-resolution force gauge, indicate that a bare microneedle easily pulls out of tissue with a critical pull-out force of 0.87 mN (Extended Figs. 2h-i, Supplementary Note 2). However, a microneedle with one row of barbs is strongly retained by the tissue and experiences a critical pull-out force of 12.2 mN (Extended Figs. 2j-k), which is close to the data from the weight-holding test. Taken together, compared to a bare microneedle (0.87 mN), microneedles with one (12.2 mN – 18.1 mM), two (43.6 mN), and three (61.7 mN) rows of barbs achieve enhancement of tissue retention by 14-21, 50, and 71 times, respectively, which are superior to the maximum enhancement of 18 times previously reported.63, 65 In in vivo tests in rats, bare microneedles are pressed into the kidney but immediately slip out upon removal of the finger due to the restoration force of tissue (Fig. 3e). The impedance of the bare microneedles decreases from 2.5×104 kΩ to 2 kΩ upon being pressed into tissue but returns to 2.2×104 kΩ upon releasing the finger (Fig. 3f and Supplementary Fig. 10a, n = 3 rats). In contrast, barbed microneedles stay in the kidney even with an external pulling force (Fig. 3g, left). Micro-CT imaging of the kidney 7 days post-implantation shows that the barbed microneedles remain stably inserted into the kidney, with an insertion depth of ~1 mm (Fig. 3g, right). The impedance of the barbed microneedles decreases from 4.2×104 kΩ to 3 kΩ upon being pressed into tissue and maintains around 3 kΩ for at least 7 days in vivo (Fig. 3h and Supplementary Fig. 10b, n = 3 rats). Micro-CT images of euthanized rats subject to intense, controlled movement with accelerations up to 40 m/s2 and angular velocities up to 750 deg/s for 1 hr, exceeding the ranges of those during voluntary movements of rats and humans,96, 97 reveal no noticeable displacement or detachment of the microneedle array from the kidney (Supplementary Fig. 11). All these results collectively suggest the strong tissue retention of the barbed microneedle array that supports stable in vivo recordings.
Fig. 3 ∣. In vitro and in vivo characterizations of the implant.

a, Micrographs of barbed microneedles with different numbers of rows of barbs. b, Magnified view of a 6×6 microneedle array with barbs. c, Experimental images showing enhanced adhesion of barbed microneedles to a chicken breast sample. d, Numerical simulation results showing enhanced adhesion of barbed microneedles to tissue. e, Pressing of a bare microneedle array into a rat kidney, which slips out upon releasing. f, Impedance of the bare microneedle array at different stages. g, Stable affixation of a barbed microneedle array to a rat kidney, which stays in position 7 days after implantation (Micro-CT). h, Impedance of the bare microneedle array at different stages. i, Electrically triggered dissolution of the gold working electrode under an overpotential, with no noticeable change under normal electrochemical measurement. j, Electrically triggered dissolution of the Pt counter electrode. k, Electrically triggered dissolution of the Ag/AgCl reference electrode. l, In vivo degradation of the microneedles. m, In vivo degradation of the microneedle array. n, In vivo degradation of the e-suture.
The implant features an electrically programmable self-destruction mechanism that initiates device degradation upon completion of monitoring. This is based on oxidative corrosion of the external electrode coatings of the microneedles, i.e. Au (WE), Pt (CE), and Ag/AgCl (RE), under overpotentials. The Au electrode works stably during electrochemical measurements, showing no sign of degradation in the Au coating after 12 h of amperometric measurement at 0.25 V (Fig. 3i). However, an overpotential exceeding 1.95 V triggers oxidative corrosion of the Au and the underlying Mo.98 Subsequent mechanical crevices and exfoliations accelerate the disintegration of the Au/Mo coatings. Consistent with literature,98 the Au/Mo coatings disintegrate within 30 s at 2.5 V, exposing the internal PLGA microneedle (Fig. 3i). Similarly, the Pt (Fig. 3j) and Ag/AgCl (Fig. 3k) electrodes both disintegrate within 30 s at 2.5 V. Previous studies found no noticeable change in temperature during this process,98 indicating low possibility of tissue damage from thermal effects. Hematoxylin and eosin (H&E) images acquired 24 hours after electrode disintegration suggest no noticeable tissue damage (Supplementary Fig. 12).
In vivo tests of the implant in n = 4 rats demonstrate the self-destruction process. The microneedles remain visually intact for 1 week in the body (Fig. 3l, left and middle left). At the end of Week 1, triggering the dissolution of the metal coatings in vivo exposes the PLGA microneedles (Fig. 3l, middle), which nearly fully bioresorb in the body by the end of Week 3 (Fig. 3l, middle right and right) through an FDA-approved, biologically safe hydrolysis process.99 The degradation of the entire microneedle array follows a similar pace. It remains visually intact for 1 week in the body (Fig. 3m, left and middle left). Following triggering at the end of Week 1, the microneedle array undergoes gradual bioresorption in the body in the following 2-3 weeks (Fig. 3m, middle to right), which also matches the observation from micro-CT imaging (Fig. 1h). Similarly, the e-suture is visually intact by the end of Week 1 (Fig. 3n, left and middle left), but shows signs of breakage by the end of Week 2 (Fig. 3n, middle) and entirely bioresorbs by Week 4 (Fig. 3n, middle right and right). These data collectively suggest that the device is able to support stable in vivo operation for at least 1 week and degrade almost entirely in the following 3 weeks upon triggering self-destruction, matching the need for organ monitoring during the critical first postoperative week and ensuring timely clearance from the body.
Microneedle functionalization for electrochemical sensing
The reported fabrication process offers high-yield and highly reproducible manufacturing of microneedle sensors, as demonstrated by consistent amperometric responses across a 6×6 array in glucose sensing (Supplementary Fig. 13). The microneedle tips are individually coated to yield different sensors. Here we focus on a panel of biochemical markers, including GLU, LA, UA, O2, K+, Na+, and pH, that are key indicators of common perioperative organ disorders, such as ischemia, hypoxia, metabolic suppression, cellular damage, fluid imbalance, and inflammation (Supplementary Table 1). For potentiometric sensing of ions (K+, Na+, and H+), sequential coating of a PEDOT:PSS ion-to-electron transducing layer, an ion-selective membrane (ISM), and a polyurethane (PU) antibiofouling layer on AuNP-coated microneedles produces the working electrodes (Fig. 4a). The ISMs selectively allow the penetration of target ions, thereby creating an ion concentration gradient across the membrane and generating a trans-membrane potential indicative of the ion concentration. The K+ sensor responds instantly to changes in K+ concentration (Supplementary Fig. 14a), as measured by pipetting out old analyte solution and pipetting in new analyte solution while continuous recording sensor response. The trans-membrane potential increases linearly as the K+ concentration steps up from 1 mM to 32 mM and subsequently returns to similar values as the concentration steps down from 32 mM to 1 mM, indicating a sensitivity of 69.8±2.63 mV/(lg[K+]), a good linearity of R2= 0.996, and good reversibility of sensing (Fig. 4b). Similarly, in the case of Na+ sensing (Extended Fig. 3a), the transmembrane potential of the Na+ sensor changes linearly and reversibly as the Na+ concentration cycles from 5 mM to 160 mM and then from 160 mM to 5 mM, exhibiting a sensitivity of 61.04±0.16 mV/(lg[Na+]) and a good linearity of R2= 0.999. For pH sensing (Extended Fig. 3b), the transmembrane potential of the pH sensor changes linearly and reversibly as the pH cycles from 4 to 8 and then from 8 to 4, exhibiting a sensitivity of −26.8±1.2 mV/(−lg[H+]) and a good linearity of R2= 0.994. The K+, Na+, and pH sensors show good sensor-to-sensor reproducibility, with a mean coefficient of variation of 3.8%, 5.3%, and 22.8% (Extended Figs. 4a-c), respectively. Furthermore, the continuous addition of interfering substances, such as NaCl, KCl, CaCl2, MgCl2, and NH4Cl, minimally affects the trans-membrane potential (Supplementary Figs. 15a-b), in contrast to the sensitive responses to target ions. Validation of the K+, Na+, and pH sensors using serum samples indicate mean relative errors of 12.7%, 18.4%, and 13.0% with respect to the standard mass spectrometry approach (Extended Figs. 5a-f), respectively.100 Chronic testing of a representative ISM-based ionic sensor (K+), combined with a PU-coated microneedle RE, in rat kidney homogenate at 37°C shows that the normalized sensor response remains stable between 100% and 102% over a period of 2 weeks (Fig. 4c). These results collectively indicate the good sensitivity, specificity, reproducibility, and stability of the microneedle sensors for ion detection.
Fig. 4 ∣. Characterizations of the microneedle sensors.

a, Schematic illustration of potentiometric sensors. b, Potentiometric response of the K+ sensor to different concentrations of K+. c, Chronic stability of the K+ sensor in kidney homogenate at 37°C. d, Schematic illustration of enzyme-based amperometric sensors. e, Amperometric response of the glucose microneedle sensor to different concentrations of glucose. f, Chronic stability of the glucose sensor with different coatings in kidney homogenate at 37°C. g, Schematic illustration of the Clark-type oxygen sensor. h, Amperometric response of the oxygen sensor to different concentrations of dissolved oxygen. i, Chronic stability of the oxygen sensor in kidney homogenate at 37°C. j, Schematic illustration of the biopotential sensor. k, Electrochemical impedance spectroscopy of the biopotential sensor with different coatings. l, Chronic stability of the biopotential sensor in kidney homogenate at 37°C.
The monitoring of metabolic biomarkers, including GLU, LA, and UA, leverages enzyme-based amperometric sensors in a three-electrode electrochemical system (Fig. 4d). The electrons from enzyme-catalyzed oxidation of metabolites, efficiently transferred to the working electrode by electron mediators, generate an electrical current proportional to metabolite concentration. However, the low amplitude of the current resulting from the small sensing area of the microneedle tips limits the detection sensitivity and linear range. To address this limitation, PU serves as a diffusion-limiting layer to broaden the linear range of detection and as an anti-biofouling layer to isolate interfering chemicals101. At the same time, Prussian blue (PB) serves as an electron mediator to lower the overpotential applied to the electrode, thereby minimizing interference from other electroactive species, such as UA or ascorbic acid102. The GLU sensor responds within seconds upon the addition of analyte of different concentrations (Supplementary Fig. 14b). Under a bias potential of 0.25 V, the microneedle glucose sensor detects GLU in the physiologically relevant range of 0 mM to 20 mM reversibly (Fig. 4e and Supplementary Fig. 16a), with a sensitivity of 0.087±0.012 μA/mM, a good linearity of R2= 0.9917, and a mean coefficient of variation of 9.9% across three samples (Extended Fig. 4d). In contrast to glucose-induced signals, sequential addition of 0.5 mM UA, 0.5 mM LA, 10 mM KCl, 0.01 mM vitamin C (VC), 1 mM NaCl, 0.5 mM UA, 0.5 mM LA, 10 mM KCl, 10 mM NaCl, 0.5 mM CaCl2, generates negligible currents (Supplementary Fig. 15c). Similarly, LA oxidase-coated and UA oxidase-coated microneedles serve as the sensors for LA and UA, respectively. Under a bias potential of −0.35 V, the current changes reversibly with LA concentration in the range of 0 mM to 20 mM (Extended Fig. 3c and Supplementary Fig. 16b), with a sensitivity of 0.025±0.001 μA/mM, a good linearity of R2= 0.9995, and a mean coefficient of variation of 13.0% across three samples (Extended Fig. 4e). Under a bias potential of 0.25 V, the current changes reversibly with UA concentration in the range of 0 mM to 1 mM (Extended Fig. 3d and Supplementary Fig. 16c), with a sensitivity of 0.13±0.005 μA/mM, a good linearity of R2= 0.9948, and a mean coefficient of variation of 11.3% across three samples (Extended Fig. 4f). Similar interference tests show that interfering chemicals generate negligible signals on the LA and UA sensors (Supplementary Figs. 15d-e), suggesting good selectivity of sensing. Validation of the GLU, LA, and UA sensors using kidney homogenate samples indicate relative errors of 8.0%, 11.7%, and 10.0% with respect to commercial, medical-grade GLU, LA, and UA meters (Extended Fig. 5g-l), respectively.103 Chronic testing of a representative enzymatic sensor (GLU), combined with a PU-coated microneedle RE and CE, in rat kidney homogenate at 37°C shows that uncoated GLU sensors gradually loses activity by Day 10 and PU-coated GLU sensors preserves 49.0% current response by Day 14 (Fig. 4f). However, the use of a polyethylene glycol (PEG) modified PU layer maintains 89.6% current response by Day 14, thereby enabling chronic monitoring with minimal drift in sensor response (Fig. 4f).
The measurement of tissue oxygenation, also known as oxygen partial pressure (PO2), utilizes the gold-standard Clark method.104 Electrodeposited Pt NPs on AuNP-coated microneedles catalyzes the reduction of oxygen to generate an electrical current proportional to dissolved oxygen concentration (Fig. 4g). It responds instantly to changes in oxygen concentration (Supplementary Fig. 14c). Under a bias voltage of −0.65 V, the amplitude of the current signal changes reversibly with the concentration of oxygen in the PBS (Fig. 4h and Supplementary Fig. 15d), with a sensitivity of −0.037±0.006 μA/mmHg and a good linearity of R2= 0.9995. It shows good sensor-to-sensor reproducibility, with a mean coefficient of variation of 2.1% (Extended Fig. 4g). Chronic testing of the oxygenation sensor in rat kidney homogenate at 37°C shows that the normalized sensor response remains stable over a period of 2 weeks (Fig. 4i). High-fidelity recording of biopotential critically relies on low impedance electrodes.105 This work leverages a tri-layer coating of Au/AuNPs/PEDOT:PSS on microneedles to faithfully record organ electrophysiology (Fig. 4j). Electrochemical impedance spectroscopy (EIS) reveals electrical impedance of 7.8×105 Ω, 2.7×103 Ω, and 875 Ω at 100 Hz for microneedles with Au, Au/AuNPs, and Au/AuNPs/PEDOT:PSS coatings, respectively, highlighting nearly 3 orders of magnitude improvement by the tri-layer design (Fig. 4k). Benchtop testing suggests that the microneedle electrodes is capable of recording mV-scale sinusoidal signals in PBS (Supplementary Fig. 15e), thereby meeting the needs of electromyography (EMG) recording (typical range: 0 – 10 mV) 106 in this work. Chronic testing of the biopotential sensor in rat kidney homogenate at 37°C shows that the normalized sensor response remains stable over a period of 2 weeks (Fig. 4l).
Multimodal monitoring of organ health in rodent models
Demonstrations of multiparametric biochemical monitoring of deep organs involve implanting devices with a 3×3 microneedle sensor array in rodent models (adult Sprague-Dawley rats) using the surgical procedure described in Methods and Supplementary Fig. 17. The first study focuses on organ ischemia, a common intraoperative complication that may result from low blood pressure, blood vessel injuries, and/or unsuccessful blood vessel connection in organ transplantation surgery.107 This condition may also emerge post-surgery, such as in cases of organ transplant rejection.40 The experiment simulates acute kidney ischemia through periodic occlusion of the renal artery and the renal vein using hemostatic forceps (Fig. 5a). The microneedles penetrate the renal capsule, which isolates and insulates the microenvironment of the kidney, and probe the renal cortex to provide accurate monitoring of renal metabolism. In this demonstration, the device monitors renal oxygenation (PO2), LA, and UA (Fig. 5b, n = 3 rats). As the kidney undergoes 15-min cycles of ischemia and recovery, the device detects prompt decreases in PO2 to 23.3±8.6 mmHg upon ischemia and resumptions of PO2 to a baseline of 38-40 mmHg upon restoration of blood supply. Concurrent monitoring of renal LA and UA during these cycles, however, reveals steady increases in LA from 0.85±0.8 mM to 9.9±3.3 mM and UA from 0.06±0.02 mM to 0.45±0.11 mM over the course of 80 min. These findings might result from irreversible organ injury due to ischemia or reperfusion organ injury upon restoration of blood supply due to oxidative stress and inflammation.108 The differential responses of different biomarkers to ischemia highlights the need for concurrent monitoring of multiple biomarkers, including oxygenation and biochemical markers, to ensure comprehensive assessment of organ health. To demonstrate the capability of spatiotemporally resolved monitoring of organ states, a 3×3 device maps renal oxygenation over 3×3 sites in the renal cortex during ischemia-recovery cycles (Fig. 5c). The device reveals spatial heterogeneity of oxygenation across different areas of the renal cortex and their temporal evolution upon the induction of hypoxia and recovery from hypoxia, showcasing the capability in high spatiotemporal resolution monitoring of organs. The second study focuses on a chronic kidney ischemia model to demonstrate the capability of the device for biochemical monitoring of deep organs for at least 1 week post-operation. Occlusion of the blood vessels of the left kidney by surgical suture followed by implantation of the device establishes the animal model. The device monitors the glucose concentration in the ischemic kidney for 7 days, during which intraperitoneal injections of glucose serve as an approach to modulate renal glucose levels. A commercial glucose meter provides reference blood glucose levels. In the healthy control (Fig. 5e, n = 3 sensors), the sensors reliably track fluctuations in renal glucose levels following glucose injections, demonstrating a strong correlation with blood glucose levels across all three measurement days (Days 0, 3, and 7). In the ischemia group (Fig. 5f, n = 3 sensors), the sensors detect minimal changes in renal glucose levels despite fluctuations of blood glucose levels following glucose injections, consistent with the blocked blood supply to the kidney. The sensors also capture progressive hypoglycemia, with glucose levels decreasing from ~100 mg/dL on Day 0 to ~28 mg/dL on Day 3 and ~23 mg/dL on Day 7, further demonstrating their capability in chronic glucose monitoring.
Fig. 5 ∣. Monitoring of acute and chronic kidney ischemia in rats.

a, Schematic illustration of acute kidney ischemia monitoring. b, Concurrent monitoring of kidney oxygenation, LA, and UA under ischemia cycles (n = 3 rats). c, Spatiotemporal mapping of kidney oxygenation under ischemia cycles (n = 3 rats). d, Schematic illustration of chronic kidney ischemia monitoring. e, Chronic monitoring of renal glucose levels in the healthy control (n = 3 sensors). f, Chronic monitoring of renal glucose levels in the ischemia model (n = 3 sensors).
The final set of studies investigate postoperative gut disorders, such as nutrient absorption disorders, gut dysmotility, and anastomotic leaks, that may arise from gastrointestinal surgery, anesthesia and medications, and/or systemic inflammation and infection.109 The device is capable of monitoring nutrient absorption within the lumen, tracking gut motility through EMG measurements on the intestinal wall, and detecting anastomotic leaks into the abdominal cavity, by adjusting the lengths of the microneedles. The device forms a cuff around a segment of the small intestine (jejunum), with the microneedles minimally invasively probing the lumen or the intestinal wall (Extended Figs. 6a-b). Direct injection of electrolytes (PBS) and a nutrient (glucose) into the small intestine of anesthetized rats simulates food intake in this experiment. Upon injection, the device detects abrupt increases in the levels of glucose, Na+, K+, and pH that match those in the solution and their gradual decreases during absorption (Extended Fig. 6c). Specifically, the glucose concentration in the lumen decreases from 20.0±1.0 to 11.6±3.2 mM within 1 hour. Simultaneously, the Na+ concentration changes from 187.5±17.7 mM to 190.3±2.8 mM and the K+ concentration decreases from 7.6±0.7 mM to 4.8±0.8 mM. The pH decreases from ~7.1 to 6.4±0.2 during this process. These results highlight the device’s capability in monitoring the gut’s absorption function. A separate set of experiments investigates (Extended Fig. 6d) gut motility under different stimulations in anesthetized rats by using microneedles inserted into the intestinal wall without reaching the lumen. Following the initial injection of PBS, the gut does not exhibit notable myoelectric activities within a 5-min window. However, subsequent injection of PBS/glucose (20 mM) elicits significantly increased myoelectric activities within 5 min. In the second group receiving PBS/capsaicin (100 μM) injection after PBS injection, the gut also exhibits strong myoelectric activities within 5 min. These findings demonstrate the device’s potential in assessing gut dysmotility.
Biocompatibility
Complete devices are implanted in rats, triggered at week 1, and degrade in the body over the subsequent three weeks. Throughout this period, various tests, including tissue histology, blood tests, trace element analysis, and weight tracking, assess the biocompatibility and health effects of the device. Au-coated PLGA microneedles elicit minimal inflammation in rat kidneys on Days 3 and 7 (n = 3 rats), as shown by H&E staining (top and middle, Fig. 6a; Supplementary Figs. 18a,b), consistent with findings from other microneedle devices.98 In contrast, crude 3D-printed microneedles induce strong infiltration of inflammatory cells even by Day 3 (bottom, Fig. 6a and Supplementary Fig. 18a-b). Complete blood counts and blood chemistry tests reveal no significant differences between sham and device groups at 2 and 4 weeks (n = 3 rats/group, P < 0.05, One-Way ANOVA) across blood cell populations, electrolytes, enzymes, and metabolites (Figs. 6b-d). These data suggest no device-related systemic toxicity or disruption of physiology. Trace element analyses by mass spectrometry confirms no abnormal accumulation of dissolved Au, Mo, and S in organ tissues (heart, liver, spleen, and kidney) compared to sham at 4-week endpoints (n = 3 rats/group). The total masses of Ag (28 ng) and Pt (11 ng) in the device (Supplementary Fig. 19) only constitute a trace fraction of allowable doses in the body.110, 111 In separate cohorts, weekly tracked body weights up to 5 weeks and endpoint organ weights at 5 weeks reveal no significant differences (P < 0.05, One-Way ANOVA) between sham and device groups (n = 3 rats/group) (Supplementary Figs. 18c,d), indicating normal growth of implanted animals. Furthermore, H&E images of the heart, liver, spleen, kidney, and intestine reveal no noticeable differences between the sham group, device group at 1 month, and device group at 6 months (n = 3 rats/group), indicating no long-term toxicity. All these data collectively indicate the biocompatibility of the bioresorbable device for chronic monitoring of deep organs.
Fig. 6 ∣. Biocompatibility study of the implant.

a, H&E images of the tissue at the insertion sites of Au-coated microneedles (Day 3 and Day 7) and crude 3D-printed microneedles (Day 3). b, Complete blood counts of device and sham groups (n = 3 rats/group) at 2 and 4 weeks. Analysis of complete blood counts. RBC, red blood cell (×1,000,000 μL−1); HGB, blood hemoglobin level (g dL−1); HCT, hematocrit level (%); MCV, mean corpuscular volume (fl); MCH, mean corpuscular hemoglobin (pg); MCHC, mean corpuscular hemoglobin concentration (g dL−1); PLT, platelet count in blood (×1,000 μL−1); WBC, white blood cell (×1,000 μL−1); c, Blood chemistry tests of device and sham groups (n = 3 rats/group) at 2 and 4 weeks. Analysis of complete blood chemistry. CK, Creatine kinase (U L−1) ; ALP, alkaline phosphatase (U L−1); AST, aspartate transaminase (U L−1); BUN Blood urea nitrogen (mg dL−1); CHOL, cholesterol (mg dL−1); GLU, glucose (mg dL−1); TCO2, bicarbonate (mmol L−1); Cl, chloride (mmol L−1); Na, sodium (mmol L−1); B/C Blood urea nitrogen /Creatinine Ratio; NA/K; sodium/potassium ratio. d, Blood chemistry tests of device and sham groups (n = 3 rats/group) at 2 and 4 weeks. Analysis of complete blood chemistry. ALB, Albumin (g dL−1); TP, total protein (g dL−1); GLOB, globulin (g dL−1); TB, total bilirubin (mg dL−1); CREA, creatinine (mg dL−1); BU, Bilirubin - Unconjugated (mg dL−1); K, potassium (mmol L−1; A/G, albumin/globulin; Ca, calcium (mg dL−1); Phos, phosphorus (mg dL−1). e-g, Sulfur (e), Mo (f), and Au (g) levels in the heart, liver, spleen, and kidney of device and sham groups (n = 3 rats/group) at 4 weeks. h, Representative images of H&E-stained tissue sections of the heart, liver, spleen, kidney, and intestine of sham and device groups at 1 and 6 months (n = 3 rats/group).
Discussion
This study presents an integrated bioresorbable microneedle-based system for comprehensive, continuous, and chronic biochemical monitoring of deep organ function throughout the perioperative period. The device enables multiplexed, real-time, and spatially mapped electrochemical sensing while addressing key challenges in deep organ interfacing, stable affixation, chronic functionality, and controlled bioresorption. By leveraging a novel 3D printing-based, photolithography-free fabrication approach, the microneedle array achieves conformal organ interfacing, 3D probing of organ parenchyma, and stable retention through backward-facing barbs, allowing for high-fidelity data acquisition with minimal irritation. The system further incorporates a bioresorbable, rolling-based e-suture for multiplexed electrical interconnection while preventing displacement, eliminating the need for secondary surgery for retrieval. The electrically programmable self-destruction mechanism ensures controllable bioresorption of the implant, mitigating risks associated with long-term foreign body retention. Demonstrations in rodent models validate the system’s ability to detect and track clinically relevant complications, such as ischemia, metabolic disturbances, and gastrointestinal dysfunction. The ability to perform continuous biochemical monitoring in deep organs represents a significant advancement over conventional intraoperative vital sign tracking and intermittent blood tests, which often fail to detect localized pathology in a timely manner. A limitation of this work is the use of non-bioresorbable biochemical sensing coatings and protective layers, though they constitute only a trace fraction of the total mass. These include ISMs, PU, and PEDOT:PSS, all of which have bioresorbable forms or replacements.112-115 Future work would involve incorporating these materials to enhance full-system degradability. Another direction of interest would be developing advanced electrochemical analysis techniques on microneedles to enable the monitoring of cytokines, drugs, and endotoxin, thereby opening up possibilities for investigating inflammation, infection, and drug metabolism in organs. Additionally, further refinement of anti-biofouling coatings and encapsulation materials could extend the monitoring period to months to enhance long-term functionality. Finally, while the current device represents a research-stage prototype, many of its key manufacturing steps, such as injection molding, metal deposition, and the coating of enzymes and protective layers (as used in continuous glucose monitoring devices), are already industrially established and commercially implemented. Future work would involve further optimization of the process to facilitate clinical translation.
Methods
Electrical components.
The system was assembled on a double-layer fPCB [Cu (18 μm): Polyimide (PI, 75 μm): Cu (18 um)]. A low-dropout linear voltage regulator (ADP7112, Analog Devices Inc.) in a 6-pin wafer-level chip-scale package (WLCSP) (1.2 mm × 1 mm) converted the DC voltage to a constant voltage supply (3.3V) to power the system. A BLE SoC (nRF52832-CIAA, Nordic Semiconductor, Norway) in WLCSP packaging (3.0 mm × 3.2 mm) served as the CPU and Bluetooth communication module. The BLE SoC used a miniaturized (3.2 mm × 1.6 mm) ceramic 2.45 GHz antenna (2450AT18A100, Johanson Technology Inc.) for wireless communication. The potentiometric and amperometric circuitry consists of a voltage buffer array (ADA4505, Analog Devices Inc.), a 32-channel switch array (ADG732, Analog Devices Inc.), and an electrochemical analog front-end (AD5941, Analog Devices Inc.). The use of other passive components with 0201 (imperial) packaging minimized the overall size of the system.
Fabrication of the implant.
The microneedle array design was exported to a 3D printer (ELEGOO Saturn 3 Ultra) and printed at a resolution of 10 μm per layer with an exposure time of 7 seconds. Barbed microneedle structures were formed by inserting the printed array into a PDMS mold containing cone-shaped cavities, which mechanically deformed the horizontal barbs. The array was clamped using binder clips and cured under 405 nm UV light for 3 minutes, after which the PDMS mold was carefully removed. Uncured Ecoflex (00-31) was then cast over the 3D-printed structure. After degassing under vacuum and curing at 70 °C for 3 hours, the 3D-printed resin was removed, resulting in a negative Ecoflex mold containing both barbed microneedle and serpentine patterns. This mold was temporarily bonded to a glass slide to form a sealed chamber and filled with PLGA in a vacuum oven at 180 °C. After cooling, the mold was removed, yielding a PLGA microneedle array with integrated barbed structures and serpentine interconnects on a glass substrate. To create conductive features, 500 nm of molybdenum (Mo) was sputtered over the entire structure. A water-soluble polyvinyl alcohol (PVA) tape, patterned with a CO2 laser to match the microneedle positions, was aligned and applied to selectively expose the microneedles. Then, 100 nm of gold was sputtered only onto the exposed microneedles. Removing the PVA tape transferred the microneedle array and serpentine traces from the glass slide onto the tape. The PVA tape carrying the microneedle array was flipped to expose the backside and plasma treated (Harrick Plasma, PDC001HP) for 5 minutes. A 20 μm-thick PLGA film was surface-treated using a corona treater (BD-20AC, ETP Inc.) for 1 minute, then laminated with the treated microneedle array. The PVA tape was dissolved in water, and the structure was dried using an air gun. An additional 20 μm-thick PLGA film was patterned with microneedle-aligned holes using a CO2 laser, overlaid onto the microneedle-transferred film, and thermally bonded on a hot plate at 80 °C for 4 hours to form a unified structure. Finally, to create the e-suture, the integrated microneedle device was rolled around a thin wire as a central axis on a hot plate at 80 °C to form a coiled interconnect. The distal segment was left unheated to allow unrolling post-implantation for connection to external electronics.
Device encapsulation and integration.
The preparation of the PA was conducted according to the literature.73 Component 1 consisted of 4-pentenoic anhydride, 1,3,5-triallyl-1,3,5-triazine-2,4,6(1H,3H,5H)-trione (TTT), and 1,4-butanedithiol (BDT) mixed at a molar ratio of 1:4:7. Component 2 included poly(ethylene glycol) diacrylate with a number average molecular weight Mn of 575, 4-pentenoic anhydride, and pentaerythritol tetrakis(3-mercaptopropionate) (PETMP) mixed at a mass ratio of 1:0.73:1.73. Components 1 and 2 were then combined in a 1:1 volume ratio and thoroughly mixed. To this mixture, 30 mg of 2,2-dimethoxy-2-phenylacetophenone (DMPA) was added per 1 mL as a photoinitiator. The resulting formulation was poured into a mold containing the microneedle array and UV-cured at 365 nm for 5 minutes to form a 100 μm-thick PA encapsulation layer. A PDMS slab was then applied to screen the microneedle tips, self-stopping at the barbs. This was followed by spin coating at 2000 rpm to deposit an additional ~10 μm-thick PA layer over the microneedle body. Prior to encapsulation, water-soluble tape was used to protect the electrical interconnects at the base, allowing for easy connection to the electronics module afterward.
Preparation of the Au/AuNP microneedle electrode.
Au NPs were deposited on the tips of the microneedles after a 400-second plating reaction in a buffer solution containing 0.2 mM HAuCl4 (Sigma-Aldrich), 0.01 M HCl (Sigma-Aldrich), and 2 mM sodium citrate (Sigma-Aldrich) at a current of −1 mA. Following drying, the microneedle tip was immersed in a polyurethane (PU) solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). Finally, air drying for 12 hours at ambient temperature of the electrode completed the fabrication process.
Preparation of the Au/AuNP/PtNP microneedle electrode.
The Au/AuNP microneedle electrode was placed in a platinum-plating solution consisting of chloroplatinic acid (8 mM H2PtCl6 and 50 mM HCl) (Sigma-Aldrich). Pt NPs were deposited onto the Au/AuNP microneedle electrode after 200 seconds of electroplating reaction at a current of −1 mA. Following drying, the microneedle tip was immersed in a PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). Finally, air drying for 12 hours at ambient temperature of the electrode completed the fabrication process.
Preparation of the Au/AuNP/PB microneedle electrode.
A Au/AuNP microneedle electrode was placed to a solution consisting of 0.25 mol/L potassium chloride (KCl), 0.05 mol/L anhydrous ferric chloride (FeCl3) and 0.05 mol/L potassium ferricyanide (K3[Fe(CN)6]) (Sigma-Aldrich). PB was deposited onto the Au/AuNP microneedle electrode after 120 seconds of electroplating reaction at a current of −0.5 mA to prepare the Au/AuNP/PB microneedle electrode.
Preparation of the Au/AuNP/PEDOT:PSS microneedle electrode.
The Au/AuNP/PEDOT:PSS microneedle electrode was obtained by immersing the Au/AuNP microneedle electrode in 30 ml of a mixture of 0.01 M (ethylene dioxythiophene monomer, EDOT) (Sigma-Aldrich) and 0.1 M sodium polystyrene sulfonate (NaPSS) (Sigma-Aldrich) and applying a constant current of 140 μA to the electrode for 200 seconds. The Au/AuNP/PEDOT:PSS microneedle electrodes were used for EMG recording.
Preparation of the microneedle counter electrode and microneedle reference electrode.
The Au/AuNP/PtNP microneedle electrode was used as the counter electrode. The fabrication of the Ag/AgCl reference electrode involved immersing gold-coated microneedle electrodes in Ag evaporation environment to directly coat an Ag layer on the electrode. Subsequently, the electrode was treated in 0.1M FeCl3 solution for 5 minutes. For the preparation of reference electrodes with additional polyvinyl butyral (PVB) coating, 79.1 mg of PVB and 50 mg of sodium chloride were dissolved in 1 ml of methanol. The electrode was then immersed in this solution for 3 hours. After removal from the solution, the electrode was treated at 90°C for 60 minutes to complete the fabrication of the PVB reference electrode. Following overnight drying, the microneedle PVB reference electrode was immersed in PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). Finally, air drying for 12 hours at ambient temperature of the microneedle PVB reference electrode completed the fabrication process.
Preparation of glucose, uric acid, lactic acid, and O2 sensing microneedle electrode.
(1) For glucose detection, a mixture consisting of glucose oxidase (50 mg/mL, Sigma-Aldrich), bovine serum albumin (BSA, 80 mg/ml, Sigma-Aldrich), and glutaraldehyde (2.5 wt% in phosphate-buffered saline (PBS), Sigma-Aldrich) was prepared in PBS at a volume ratio of 1:5:2. The Au/AuNP/PB microneedle electrodes were drop-coated three times in the glucose oxidase precursoe solution described above. Following overnight drying, the electrodes were immersed in a polyurethane (PU) solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). Finally, air drying for 12 hours at ambient temperature of the resultant Au/AuNP/PtNP/GOx microneedle electrodes completed the fabrication process. (2) For uric acid detection, uric acid oxidase (15 mg/ml, Sigma-Aldrich), BSA (80 mg/ml, Sigma-Aldrich), and glutaraldehyde (2.5 wt% PBS, Sigma-Aldrich) were combined in PBS at a volume ratio of 1:5:2. The Au/AuNP/PB microneedle electrodes were processed using the dip-coating technique in the uric acid oxidase precursor solution, followed by overnight drying and immersion in PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). Finally, air drying for 12 hours at ambient temperature of the resultant Au/AuNP/PB/Uricase microneedle electrodes completed the fabrication process. (3) For lactate sensing, lactate oxidase (30 mg/ml, Sigma-Aldrich), BSA (80 mg/ml, Sigma-Aldrich), and glutaraldehyde (2.5 wt% PBS, Sigma-Aldrich) were dissolved in PBS at a volume ratio of 1:5:2. The Au/AuNP/PB microneedle electrodes underwent the dip-coating process in the lactate oxidase solution for three times, followed by overnight drying and immersion in PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich). The electrodes, designated as Au/AuNP/PB/LOx microneedle, were subsequently dried for 8 hours at room temperature. The preparation of PEG-modified PU was conducted in accordance with the methods described in the literature.116 First, PU was dissolved in a toluene solution containing 10% (w/v) hexamethylene diisocyanate and 2.5% (w/v) trimethylamine, and stirred at 50 °C for 2.5 hours under a nitrogen atmosphere. The resulting mixture was then reacted with a PEG-toluene solution containing 2.5% (w/v) triethylamine at 50 °C for 24 hours. Finally, the PU-PEG coating was cast onto the enzyme-based microneedle electrode. (4) The Au/AuNP/PtNP microneedle electrode was used as the O2 electrode based on the Clark oxygen sensing method.104 Following overnight drying, the microneedle tip was immersed in a PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich).
Preparation of Na+, K+, and pH sensing microneedle electrodes.
The preparation of the Na+-selective membrane cocktail was conducted using a composition that included Na ionophore X (1% w/w, Sigma-Aldrich), sodium tetrakis[3,5-bis(trifluoromethyl)phenyl] borate (Na-TFPB, 0.55% w/w, Sigma-Aldrich), polyvinyl chloride (PVC, 33% w/w, Sigma-Aldrich), and dioctyl sebacate (DOS, 65.45% w/w, Sigma-Aldrich). A quantity of 200 mg of this cocktail was solubilized in 1,320 μL of tetrahydrofuran (THF) under agitation for 30 minutes. For the K+-selective membrane, the formulation comprised valinomycin (2% w/w, Sigma-Aldrich), potassium tetrakis[phenyl]borate (NaTPB, 0.5% w/w, Sigma-Aldrich), PVC (32.7% w/w), and DOS (64.8% w/w). Here, 200 mg of the mixture was dissolved in 700 μL of cyclohexanone to fabricate the membrane solution. ISMs for Na+ and K+ were fabricated through a dip-coating process of the corresponding electrodes into their respective membrane cocktails, followed by air-drying at ambient temperature overnight. The pH-sensing coating was synthesized by dissolving 20 mg of polyaniline emeraldine salt in 20 mL of dimethyl sulfoxide (DMSO, Sigma-Aldrich). To achieve complete dissolution, the mixture was stirred continuously for 24 hours. The microneedle electrodes were then coated by dip-coating in the polyaniline emeraldine solution and dried for 2 hours at 60°C, thus forming a polyaniline emeraldine base membrane on the gold electrode surface. Subsequently, the membrane was exposed to a 1 mL solution of hydrochloric acid (HCl, 1 mol/L, Sigma-Aldrich) within a vacuum chamber for 6 hours to ensure thorough protonation. Following overnight drying, the microneedle tip was immersed in a PU solution (0.6 g of PU dissolved in 10 g of a 98:2 mass ratio tetrahydrofuran/dimethylformamide solution, Sigma-Aldrich).
Surface morphology characterization of sensing electrodes.
The surface morphology of the microneedle sensing electrodes was imaged by a benchtop scanning electron microscope (SEM, Helios 5 CX DualBeam, Thermo Fisher Scientific). Micrographs of the samples were taken using an optical microscope (VHX-7000N, Keyence).
Electrochemical characterization of microneedle sensing electrodes.
The microneedle electrodes (working electrodes) used for biochemical assays were characterized using an electrochemical workstation (PalmSens 4). The selectivity of the electrochemical sensors for glucose, lactate, uric acid, O2, sodium ions, potassium ions, and pH was evaluated separately by sequentially adding certain concentrations of interfering substances to the solution. For the ion sensors, the electrochemical workstation characterized the open-circuit potential of the two-electrode system, where a microneedle Ag/AgCl electrode was used as the reference electrode during the test. The open-circuit potential was recorded for different concentrations of the substance to be measured. A series of ion solutions with different concentrations were prepared, in which deionized water was used as the solvent. The test was paused for 30 seconds each time the concentration of the substance changed to allow for sufficient mass transfer in the solution. Interference studies were carried out by adding 10 mM NaCl, 10 mM KCl, 0.5 mM CaCl2, or 5 mM NH4Cl dissolved in deionized water, respectively. For the metabolite sensors, a three-electrode system (working, counter, and reference electrodes) was used, where the amperometric sensors were applied bias potentials of 0.25V, −0.35 V, and 0.25 V for glucose, lactate, and uric acid, respectively. A microneedle Au/AuNP/PtNP electrode was used as the counter electrode, and a microneedle Ag/AgCl electrode was used as the reference electrode during the test. Interference studies were performed by adding 1 mM UA, 0.5 mM LA, 0.01 mM VC, 10 mM NaCl, 0.5 mM CaCl2, or 10 mM KCl dissolved in deionized water, respectively. The effect of the material on the overall sensor performance was assessed by measuring the electrochemical properties of electrodes with different material structures. The sensitivity, detection selectivity, and detection range of each electrode were analyzed separately. For the oxygen sensor, a three-electrode system (working electrode, counter electrode, and reference electrode) was used with a bias potential of −0.65V applied. A microneedle Au/AuNP/PtNP electrode was used as the counter electrode and a microneedle Ag/AgCl electrode was used as the reference electrode during the tests. Dissolved oxygen concentration in PBS was measured using the Digital Tester Smart Bluetooth Dissolved Oxygen Meter (RMR-6NW-2QU355, Buiishu). The concentration of oxygen in PBS was regulated by continuous passage of air or heating.
Validation of microneedle sensors against standard methods in complex biofluids.
Each microneedle sensor was evaluated across four concentration gradients in complex biofluids. For K+ sensing, the test conditions included: undiluted serum, two-fold diluted serum, serum spiked with 2 mM KCl (final concentration), and serum spiked with 5 mM KCl (final concentration). For Na+ sensing, the conditions were: undiluted serum, two-fold diluted serum, serum spiked with 120 mM NaCl, and serum spiked with 300 mM NaCl (final concentrations). Microneedle sensor readings for K+ and Na+ were compared with values obtained using inductively coupled plasma mass spectrometry (ICP-MS; Agilent 8900), followed by grid error analysis. For pH sensing, the conditions included: undiluted serum, serum mixed 1:1 (v/v) with pH 4 buffer (BX16341, Sigma-Aldrich), serum mixed 1:1 with pH 5 buffer (BX16551, Sigma-Aldrich), and serum mixed 1:1 with pH 10 buffer (BX16361, Sigma-Aldrich). Results were compared to measurements from a commercial pH meter (edge® Dedicated pH/ORP Meter), followed by grid error analysis. For glucose sensing, rat kidney homogenate samples were tested under the following conditions: undiluted, two-fold diluted, four-fold diluted, and spiked with 36 mg/dL glucose (final concentration). Results of sensor data were compared with a commercial glucose meter (Abbott FreeStyle Lite), and Clarke grid error analysis was performed. For lactic acid sensing, undiluted, two-fold diluted, four-fold diluted rat kidney homogenate samples, and a sample spiked with 5 mM lactic acid (final concentration) were used. Results were compared with a commercial test kit (EDGE Lactate Test Kit), followed by grid error analysis. For uric acid sensing, the same dilution scheme was used, with an additional sample spiked with 0.3 mM uric acid (final concentration). Sensor outputs were compared with those from a commercial uric acid monitor (SpeedGUC 3-in-1 Multifunction Uric Acid Test Gout Monitor), and grid error analysis was performed.
Chronic in vitro test of the sensors.
Long-term stability experiments for K+, glucose, oxygen, and EMG sensors were conducted in a kidney homogenate environment at 37°C. The voltage, current, and impedance signals from each sensor were separately measured and analyzed.
Microneedle insertion test in rat kidneys.
A high-precision miniature S-Beam load cell (FUTEK, FSH03869), paired with a USB output module providing a resolution of 7 μN (FUTEK, FSH04720), was used to quantify resistance force during microneedle insertion and retraction in fresh ex vivo rat kidneys. Bare and barbed microneedles were securely mounted on a stereotactic frame and inserted perpendicularly into the kidney tissue at a controlled rate of 5 mm/min, followed by retraction at the same speed.
Finite element analysis.
The deformation process and tissue adhesion behavior of the backward-facing barbs was numerically investigated by the solid mechanics module of COMSOL Multiphysics. For the deformation process, a two-dimensional symmetric model was created. A line segment was defined as the contact surface, with angles of 15°, 25°, and 35° relevant to the y-axis. The contact line underwent a fixed displacement to simulate the deformation process. The deformation and stress distribution of the barbs after contact were computed. To characterize tissue adhesion of the barbs, the microneedle was treated as a rigid body and the tissue was set as a linear elastic material. The main boundary of the model was set such that the bottom side was fixed, and a pair of equal tension forces was applied on both sides to simulate the tissue tension, and a gradually increasing force was applied on the upper part of the microneedle to simulate the extraction process. The PLGA interconnects were characterized by a density of 1530 kg/m3, a Young's modulus of 32.0 MPa, and a Poisson's ratio of 0.12.117
Animal Experiments.
Experimental protocols were approved by the Institutional Animal Care and Use Committee of Dartmouth College. All animals were handled following the guidelines for the care and use of laboratory animals described by the Institutional Animal Care and Use Committee of Dartmouth College (Protocol # 00002330). Male Sprague-Dawley rats weighing 250-300 g (Animal Center of Dartmouth Hitchcock Medical Center) were used for experiments. Rats were housed in a climate-controlled room with a 12-hour light/12-hour dark cycle and fed ad libitum.
Device implantation procedure.
Sprague-Dawley rats were anesthetized with 2% isoflurane gas delivered via a nose cone using an anesthesia system (Isotec 4, SurgiVet, United States). All animals were subjected to a 12-hour fasting period with access to water prior to surgery. Animals were placed on a thermostatic heating pad to maintain normothermia throughout the procedure. Prior to surgery, abdominal hair was removed using a depilatory cream (VEET Hair Removal Cream, Reckitt Benckiser). A laparotomy was performed via either a ventral midline or flank incision to access the abdominal cavity. After identifying the target organ, the device was mounted in place. Sufficient slack in the e-suture was left within the abdominal cavity to prevent displacement of the microneedle device due to abdominal movement. The abdominal wall was partially closed using approximately three turns of the e-suture. The incision was then closed in layers with standard sutures. Next, the skin was first partially closed using the remaining e-suture (approximately two turns), followed by complete closure with standard sutures. Finally, the distal end of the e-suture was unrolled and connected to the external electronics.
Bioresorption studies in rats.
Devices were implanted according to the standard implantation procedure (n = 4 rats). One week post-implantation, the devices were triggered at 2.5 V to initiate dissolution of the gold coatings. One rat was euthanized each subsequent week to assess the morphology of the implanted device. In a separate cohort (n = 4 rats), the e-suture was implanted subcutaneously. The overlying skin was surgically reopened weekly to inspect the condition of the e-suture.
Acute kidney ischemia monitoring.
Devices were implanted using the standard implantation procedure (n = 3 rats), with suture steps omitted. Rats were euthanized at the conclusion of the experiments. Renal ischemia was induced at 15-minute intervals by occluding the renal artery and vein using hemostatic forceps. Electrochemical signals were recorded every 5 minutes. A 3×3 microneedle device was subsequently used to map spatiotemporal changes in renal oxygenation under the same ischemia simulation protocol.
Chronic kidney ischemia monitoring.
Devices were implanted according to the standard implantation procedure (n = 2 rats). In the ischemia group, chronic renal ischemia was induced by suturing the blood vessels of the left kidney to occlude blood flow. The implanted devices monitored glucose concentrations in the kidney over a 7-day period. To modulate renal glucose levels, intraperitoneal injections of 20 wt% glucose were administered on Days 0, 3, and 7. Reference blood glucose measurements were obtained using a commercial glucometer (Abbott FreeStyle Lite) with tail-tip blood samples collected at 10-minute intervals.
Gut monitoring.
Rats were prepared following the implantation procedure. A segment of the small intestine was extruded, and a device was wrapped around the jejunum. The microneedle electrodes minimally invasively pierced into the lumen of the intestine. Electrochemical signals for glucose, Na+, K+, and pH were recorded at 5 min/10 min intervals, and at the 20th min of the experiment, 2 mL of 20 mM glucose/PBS solution was injected to study intestinal absorption. Subsequent recordings were made until the 90th minute. After the completion of the experiment, the animals were euthanized. For myoelectricity experiments in the intestine, the microneedles were located within the intestinal wall without puncturing the intestine. Two sets of experiments were conducted, in which 1 mL of PBS was injected first, followed by injection of 1 mL of 20 mM glucose/PBS solution. In the other set of experiment, 1 mL of PBS was injected first, followed by injection of 1 mL of capsaicin/PBS solution (100 μM).
In vivo evaluation of biocompatibility.
To assess inflammation at the microneedle insertion sites, devices with PLGA/Au and crude 3D-printed microneedles were implanted in the kidney (n = 3 rats per group: 3-day PLGA/Au, 7-day PLGA/Au, and 3-day 3D-printed). Kidney tissues were collected on Days 3 and 7, fixed, paraffin-embedded, sectioned, and stained with hematoxylin and eosin (H&E). For hematologic and clinical chemistry assessments, blood samples were collected from sham and device-implanted rats at 2 and 4 weeks post-implantation (n = 3 rats per group) via tail vein puncture. For complete blood counts, 500 - 600 μL of blood was collected into K2-EDTA tubes. For serum chemistry, 500 - 600 μL was collected into uncoated tubes. All analyses were performed by IDEXX BioAnalytics Diagnostic Laboratories. Major organs were harvested at 4 weeks for trace element analysis (S, Mo, and Au) using Agilent 8900 ICP-MS. In separate cohorts of sham and device groups (n = 3 rats per group), body weight was monitored weekly, and major organs (heart, lungs, liver, kidneys, spleen, and intestines) were collected and weighed at 5 weeks. For long-term biocompatibility evaluation, additional groups (n = 3 rats per group: sham, 1-month device, and 6-month device) were euthanized at 1 and 6 months, and major organs were collected and stained with H&E.
Mechanical stability test using a laboratory shaker.
Devices were implanted according to the standard implantation procedure (n = 3 rats) and euthanized upon completion of surgery. Euthanized rats were fixed on a laboratory shaker (VWR International, LLC) and subjected to high-speed shaking for 1 hour. The acceleration and angular velocity data were measured using an inertial measurement unit BMI160 (Bosch Sensortec GmbH).
Microscale CT imaging.
CT imaging was performed using a preclinical microPET/CT imaging system (Quantum GX3 microCT System) with "High resolution" magnification, 68.0 μm voxel size, 100 kV, 200 μA, and 671 mGy.
Extended Data
Extended Fig. 1 ∣. Additional data on design concepts and system features.

a, Bioresorption processes of materials. b, Schematic illustration of the rolling process of the e-suture. c, Definition of rolling parameters. d, E-suture diameter v.s. total width of electrical interconnects at different substrate thickness. e, Micrograph of the e-suture and a standard size #4 suture. f, Cross-sectional micrograph of the e-suture. g, Photograph of a completed 6×6 device. h, Photograph of a completed 6×6 device on the palm. i, Stability of a 3×3 device in PBS at 37°C. j, The electrical resistance of individual electrical interconnects of the e-suture (1-9#) in PBS at 37°C.
Extended Fig. 2 ∣. Mechanical characterizations of the barbed microneedle array.

a, Schematic illustration of the fabrication process of barbed microneedles. b-d, Numerical simulation of the tissue retention characteristics of microneedles with 0 (b), 1 (c), and 2 (d) rows of barbs. e, Photographs of weight-holding tests of microneedles with 0, 1, 2, and 3 rows of barbs using 10-gram weights. f, Simulated maximum pull-out force of barbed microneedles. g, Maximum pull-out force of barbed microneedles measured by the weight-holding test. h, Resistance force experienced by a bare microneedle during an insertion test in a rat kidney. i, Photographs of the insertion test of a bare microneedle. j, Resistance force experienced by a barbed microneedle during an insertion test in a rat kidney. k, Photographs of the insertion test of a barbed microneedle.
Extended Fig. 3 ∣. Response and reversibility of microneedle electrochemical sensors.

a, Na+ sensor. b, pH sensor. c, Lactic acid sensor. d, Uric acid sensor.
Extended Fig. 4 ∣. Reproducibility of microneedle electrochemical sensors (n = 3 sensors).

a, K+ sensor. b, Na+ sensor. c, pH sensor. d, Glucose sensor. e, Lactic acid sensor. f, Uric acid sensor. g, Oxygen sensor.
Extended Fig. 5 ∣. Validation of microneedle electrochemical sensors against standard methods.

a-b, Error grid analysis (a) and relative errors to reference values (b) of the K+ sensor. c-d, Error grid analysis (c) and relative errors to reference values (d) of the Na+ sensor. e-f, Error grid analysis (e) and relative errors to reference values (f) of the pH sensor. Region A corresponds to those values within <20% deviation from the reference results, which could inform reliable decisions. Region B shows inaccurate values with 20%-50% deviation from the reference results. Region C reflects inaccurate values with 50%-80% deviation. Region D shows inaccurate values indicating a potential failure to detect target chemicals. g-h, Clarke’s error grid analysis (g) and relative errors to reference values (h) of the glucose sensor. Region A corresponds to those values within 20% deviation from the reference glucose values. Region B shows inaccurate values with >20% deviation from the reference glucose values but would not lead to inappropriate diabetes treatment. Region C reflects inaccurate values leading to unnecessary diabetes treatment. Region D shows inaccurate values indicating a potential failure to detect hypoglycemia or hyperglycemia. Region E corresponds to those inaccurate values that would confuse treatment of hypoglycemia for hyperglycemia and vice versa. i-j, Error grid analysis (i) and relative errors to reference values (j) of the lactic acid sensor. k-l, Error grid analysis (k) and relative errors to reference values (l) of the uric acid sensor. The definitions of the regions are the same as those in a-f.
Extended Fig. 6 ∣. Monitoring of gut disorders in rats.

a, Schematic illustration of gut monitoring using the device. b, Photograph of the SMART encircling the small intestine of a rat. c, Concurrent monitoring of glucose, Na+, K+, and pH in the lumen of the intestine. d, EMGs of the intestine upon injection of PBS, glucose, and capsaicin.
Supplementary Material
Acknowledgements
We acknowledge the startup funding to W.O. from the Thayer School of Engineering at Dartmouth College. This work was also supported by the National Institute of General Medical Sciences (NIGMS) under award number R35GM159840 (W.O.). The authors further acknowledge the following Shared Resources facilities at the Dartmouth Cancer Center: Irradiation, Pre-clinical Imaging and Microscopy Resource (IPIMSR, RRID:SCR_025077), Pathology Shared Resource (PSR, RRID:SCR_023479), and Trace Element Analysis Shared Resource (TEASR, RRID:SCR_009777), supported by the NCI Cancer Center Support Grant (5P30CA023108-41). The Dartmouth Biomedical National Elemental Imaging Resource (BNEIR), part of TEASR, is additionally supported by NIGMS under award R24GM141194 and by the NIH Shared Instrumentation Grant S10OD032352.
Footnotes
Reporting Summary. Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Competing interests
The authors declare no competing interests.
Data availability
The main data supporting the results in this study are available within the paper and its Supplementary Information. Source data for the figures will be provided with this paper.
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Data Availability Statement
The main data supporting the results in this study are available within the paper and its Supplementary Information. Source data for the figures will be provided with this paper.
