Real-Time Signal Analysis with Wider Dynamic Range and Enhanced Sensitivity in Multiplex Colorimetric Immunoassays Using Encoded Hydrogel Microparticles.

The simultaneous quantification of multiple proteins is crucial for accurate medical diagnostics. A promising technology, the multiplex colorimetric immunoassay using encoded hydrogel microparticles, has garnered attention, due to its simplicity and multiplex capabilities. However, it encounters challenges related to its dynamic range, as it relies solely on the colorimetric signal analysis of encoded hydrogel microparticles at the specific time point (i.e., end-point analysis). This necessitates the precise determination of the optimal time point for the termination of the colorimetric reaction. In this study, we introduce real-time signal analysis to quantify proteins by observing the continuous colorimetric signal change within the encoded hydrogel microparticles. Real-time signal analysis measures the "slope", the rate of the colorimetric signal generation, by focusing on the kinetics of the accumulation of colorimetric products instead of the colorimetric signal that appears at the end point. By developing a deep learning-based automatic analysis program that automatically reads the code of the graphically encoded hydrogel microparticles and obtains the slope by continuously tracking the colorimetric signal, we achieved high accuracy and high throughput analysis. This technology has secured a dynamic range more than twice as wide as that of the conventional end-point signal analysis, simultaneously achieving a sensitivity that is 4-10 times higher. Finally, as a demonstration of application, we performed multiplex colorimetric immunoassays using real-time signal analysis covering a wide concentration range of protein targets associated with pre-eclampsia.

High-Resolution Surface Replication of Living Organisms using Air-Through-Precursor Suction-Augmented Replica Molding.

Replica molding is widely used to reproduce the surface microstructures that provide living organisms with distinct and useful functions. However, the existing methods are limited by the low resolution resulting from the air trapped in the structures during precursor solution loading. This study investigated replica molding with an air-through-precursor suction (APS) process, which used a degassed polydimethylsiloxane substrate to remove the trapped air through the precursor solution. The liquid loading times are characterized using a model template, and air suction that is up to 36 times faster can be achieved using the APS process relative to a conventional method. Using APS replica molding, biocompatible replicates from human fingerprints and gecko skin are fabricated using only a 3 min precursor solution loading step. Owing to the enhanced and reproducible resolution from APS replica molding, for the first time, the structural changes in the foot of a living gecko at the microscale can be observed when standing on a horizontal or vertical surface.

Rapid colorimetric analysis of multiple microRNAs using encoded hydrogel microparticles.

microRNAs (miRNAs) have attracted much attention as potential biomarkers for the diagnosis of various fatal diseases. With increasing interest in miRNA detection at practical sites, colorimetric bead-based assays have garnered much attention, because these allow for simple analysis with cheap and portable devices. Among them, the encoded hydrogel microparticle-based colorimetric miRNA assay is considered as one of the promising techniques, due to its strengths, such as large multiplex capacity, acceptable sensitivity, and simple analysis. However, it still imposes a limitation in terms of the assay time, particularly the colorimetric reaction time, which is too long, making the practical application of the assay difficult and undermining its detection accuracy. In this work, we present a rapid colorimetric assay based on encoded hydrogel microparticles, which exhibits a significant decrease in the colorimetric reaction time due to two factors: (1) an increase in the number of enzymes bound to hydrogel microparticles via a post-synthesis functionalization method, and (2) an elevation in the enzyme reaction temperature during colorimetric labeling. We obtained a comparable sensitivity of the colorimetric assay with three different miRNA targets, even with a shortened colorimetric reaction time. Furthermore, we validated that our colorimetric detection method is suitable for multiplex miRNA detection, owing to its low cross-reactivity.

Elimination of Unreacted Acrylate Double Bonds in the Polymer Networks of Microparticles Synthesized via Flow Lithography.

Flow lithography (FL), a versatile technique used to synthesize anisotropic multifunctional microparticles, has attracted substantial interest, given that the resulting particles with complex geometries and multilayered biochemical functionalities can be used in a wide variety of applications. However, after this process, there are double bonds remaining from the cross-linkable groups of monomers. The unreacted cross-linkable groups can affect the particles' biochemical properties. Here, we verify that the microparticles produced by FL contain a significant number of unreacted acrylate double bonds (UADBs), which could cause irreversible biochemical changes in the particle and pernicious effects to biological systems. We also confirm that the particles contain a considerable number of UADBs, regardless of the various synthetic (lithographic) conditions that can be used in a typical FL process. We present an effective way to eliminate a substantial amount of UADBs after synthesis by linking biochemically inert poly(ethylene glycol) based on click chemistry. We verify that eliminating UADBs by using this click chemistry approach can efficiently resolve problems, such as the occurrence of random reactions and the cytotoxicity of UADBs.

Phosphorylcholine-based encoded hydrogel microparticles with enhanced fouling resistance for multiplex immunoassays.

Due to the growing interest in multiplex protein detection, encoded hydrogel microparticles have received attention as a possible path to high performance multiplex immunoassays through a combination of high multiplexing capability and enhanced binding kinetics. However, their practical operation in real complex samples is still limited because polyethylene glycol, which is the main component of hydrogel particles, suffers from oxidative damage and relatively high fouling properties in biochemical solutions. Here, we introduce poly(2-methacryloyloxyethyl phosphorylcholine) (PMPC)-based encoded hydrogel microparticles to perform fouling-resistant multiplex immunoassays, where the anti-fouling characteristics are attributed to the zwitterionic PMPC. By applying a newly developed molding lithography technique, viscous PMPCs with low reactivity were successfully incorporated into the hydrogel network while maintaining uniformity and rigidity for use in multiplex immunoassays. Non-specific protein adsorption on the PMPC particles was reduced by about 37.5% compared to that of conventional PEG particles, which leads to better assay sensitivity. We also validate the multiplex capability of the PMPC particles by performing multiplex detection of two target proteins. Furthermore, we verify that the PMPC particles have a 70% enhancement in anti-fouling characteristics compared to PEG particles in human platelet-rich plasma, potentiating a practical immunoassay platform for clinical diagnosis.

Linker-free antibody conjugation for sensitive hydrogel microparticle-based multiplex immunoassay.

Multiplex immunoassay, or the simultaneous detection of multiple proteins in a single sample, is expected to enable a new level of protein analysis across diverse disciplines, such as medical diagnostics and biomarker discovery. A bead-based assay using graphically encoded hydrogel microparticles synthesized using stop flow lithography has been a promising platform because of its high multiplex capacity and its superior sensitivity and dynamic range compared to the enzyme-linked immunosorbent assay (ELISA). The functionalization of these particles has been dependent on the use of a heterobifunctional linker to conjugate the capture antibodies on the hydrogel. However, the linker chemistry, which is based on linking the primary amine groups of antibodies with acrylate functional groups on the hydrogel monomer, is vulnerable to hydrolysis in aqueous conditions and can potentially damage the antigen binding region of the antibody. In this work, we introduce a new antibody conjugation method that avoids the use of the linker and further enhances the sensitivity of hydrogel microparticle-based immunoassays. Disulfide bonds in antibodies are reduced to liberate free thiols, which can directly bond with the double bonds remaining in the hydrogel after particle synthesis. We characterize the optimal reduction of antibodies for producing the highest detection signal and demonstrate an average two-fold improvement in sensitivity compared to the linker-dependent antibody conjugation method. Lastly, we validate the accuracy and specificity of the multiplex assays with particles conjugated with antibodies using the linker-free method.

Porous microwells for geometry-selective, large-scale microparticle arrays.

Large-scale microparticle arrays (LSMAs) are key for material science and bioengineering applications. However, previous approaches suffer from trade-offs between scalability, precision, specificity and versatility. Here, we present a porous microwell-based approach to create large-scale microparticle arrays with complex motifs. Microparticles are guided to and pushed into microwells by fluid flow through small open pores at the bottom of the porous well arrays. A scaling theory allows for the rational design of LSMAs to sort and array particles on the basis of their size, shape, or modulus. Sequential particle assembly allows for proximal and nested particle arrangements, as well as particle recollection and pattern transfer. We demonstrate the capabilities of the approach by means of three applications: high-throughput single-cell arrays; microenvironment fabrication for neutrophil chemotaxis; and complex, covert tags by the transfer of an upconversion nanocrystal-laden LSMA.

Microfluidic Synthesis of pH-Sensitive Multicompartmental Microparticles for Multimodulated Drug Release.

Stimuli-responsive carriers releasing multiple drugs have been researched for synergistic combinatorial cancer treatment with reduced side-effects. However, previously used drug carriers have limitations in encapsulating multiple drug components in a single carrier and releasing each drug independently. In this work, pH-sensitive, multimodulated, anisotropic drug carrier particles are synthesized using an acid-cleavable polymer and stop-flow lithography. The particles exhibit a faster drug release rate at the acidic pH of tumors than at physiological pH, demonstrating their potential for tumor-selective drug release. The drug release rate of the particles can be adjusted by controlling the monomer composition. To accomplish multimodulated drug release, multicompartmental particles are synthesized. The drug release profile of each compartment is programmed by tailoring the monomer composition. These pH-sensitive, multicompartmental particles are promising drug carriers enabling tumor-selective and multimodulated release of multiple drugs for synergistic combination cancer therapy.

Microdroplet photobioreactor for the photoautotrophic culture of microalgal cells.

Microalgae, unicellular photoautotrophic microorganisms, have attracted great attention for the production of biofuel and high-value products, but the commercial use of microalgae has been limited by low photosynthetic productivity. To overcome this limitation, it is required to develop an efficient platform for the rapid evaluation of photoautotrophic growth performance and productivity of microalgal strains. Here we describe a droplet-based photobioreactor for high-throughput analysis of the photoautotrophic growth of microalgal cells. By integrating micropillar arrays and adjusting the height of the microchamber, we could accurately monitor the growth kinetics of microalgae in an immobilized microdroplet and improve the transfer rate of CO2 into the microdroplet photobioreactor with an increased contact area between the microdroplet and PDMS surface. The improvement of CO2 transfer into the microdroplet was also confirmed by improved microalgal cell growth and a decrease in pH measured using colorimetric and fluorescence-based assays. The photoautotrophic growth kinetics of Chlorella vulgaris were measured under different CO2 concentrations (ambient, 1%, 2.5%, 5% and 7.5%) and light intensity (35, 55, 100, 150, and 200 µmol photons per m(2) per s) conditions, which are key factors for photoautotrophic growth. Chlorella vulgaris in a microdroplet showed better cell growth performance compared to a flask culture due to the reduced shading effects and improved mass transfer. Finally, we could evaluate the photoautotrophic growth performance of four microalgal strains (Chlorella vulgaris, Chlorella protothecoides, Chlorella sorokiniana and Neochloris oleoabundans) for 120 hours. These results demonstrate that our microdroplet system can be used as an efficient photobioreactor for the rapid evaluation of the photoautotrophic growth of microalgal strains under various conditions.

Vertically encoded tetragonal hydrogel microparticles for multiplexed detection of miRNAs associated with Alzheimer's disease.

Encoded hydrogel particles have attracted attention in diagnostics as these particles can be used for high-performance multiplexed assays. Here, we present encoded tetragonal hydrogel microparticles for multiplexed detection of miRNAs that are strongly related to Alzheimer's disease (AD). The particles are comprised of vertically distinct code and probe regions, and incorporated with quantum dots (QDs) in the code regions. By virtue of the particle geometry, the particles can be synthesized at a high production rate in vertically stacked micro-flows using hydrodynamic focusing lithography. To detect multiple AD-miRNAs, various code labels to identify the loaded probes are designed by changing wavelengths of QDs, increasing the number of code layers and adjusting the thickness of code layers. The probe regions are incorporated with complementary sequences of target miRNAs, and optimized for accurate and timely detection of AD-miRNAs. For proof of concept, we demonstrate the multiplexed capability of the particles by performing a 3-plexed assay of AD-miRNAs.

Synthesis of Cell-Adhesive Anisotropic Multifunctional Particles by Stop Flow Lithography and Streptavidin-Biotin Interactions.

Cell-adhesive particles are of significant interest in biotechnology, the bioengineering of complex tissues, and biomedical research. Their applications range from platforms to increase the efficiency of anchorage-dependent cell culture to building blocks to loading cells in heterogeneous structures to clonal-population growth monitoring to cell sorting. Although useful, currently available cell-adhesive particles can accommodate only homogeneous cell culture. Here, we report the design of anisotropic hydrogel microparticles with tunable cell-adhesive regions as first step toward micropatterned cell cultures on particles. We employed stop flow lithography (SFL), the coupling reaction between amine and N-hydroxysuccinimide (NHS) and streptavidin-biotin chemistry to adjust the localization of conjugated collagen and poly-L-lysine on the surface of microscale particles. Using the new particles, we demonstrate the attachment and formation of tight junctions between brain endothelial cells. We also demonstrate the geometric patterning of breast cancer cells on particles with heterogeneous collagen coatings. This new approach avoids the exposure of cells to potentially toxic photoinitiators and ultraviolet light and decouples in time the microparticle synthesis and the cell culture steps to take advantage of the most recent advances in cell patterning available for traditional culture substrates.

Efficient isolation of encoded microparticles in a degassed micromold for highly sensitive and multiplex immunoassay with signal amplification.

Multiplex detection of low-abundance protein biomarkers in biofluids can contribute to diverse biomedical fields such as early diagnosis and precision medicine. However, conventional techniques such as digital ELISA, microarray, and hydrogel-based assay still face limitations in terms of efficient protein detection due to issues with multiplexing capability, sensitivity, or complicated assay procedures. In this study, we present the degassed micromold-based particle isolation technique for highly sensitive and multiplex immunoassay with enzymatic signal amplification. Using degassing treatment of nanoporous polydimethylsiloxane (PDMS) micromold, the encoded particles are isolated in the mold within 5 min absorbing trapped air bubbles into the mold by air suction capability. Through 10 min of signal amplification in the isolated spaces by fluorogenic substrate and horseradish peroxidase labeled in the particle, the assay signal is amplified with one order of magnitude compared to that of the standard hydrogel-based assay. Using the signal amplification assay, vascular endothelial growth factor (VEGF) and chorionic gonadotropin beta (CG beta), the preeclampsia-related protein biomarkers, are quantitatively detected with a limit of detection (LoD) of 249 fg/mL and 476 fg/mL in phosphate buffer saline. The multiplex immunoassay is conducted to validate negligible non-specific detection signals and robust recovery rates in the multiplex assay. Finally, the VEGF and CG beta in real urine samples are simultaneously and quantitatively detected by the developed assay. Given the high sensitivity, multiplexing capability, and process simplicity, the presented particle isolation-based signal amplification assay holds significant potential in biomedical and proteomic fields.

Air-through-precursor suction-augmented replica molding for fabrication of anisotropic microparticles in gas-impermeable molds.

Replica molding (REM) is a powerful technique for fabricating anisotropic microparticles. Current REM methods rely on the use of gas-permeable molds for defect-free castings and facile particle recovery. However, they often encounter limitations on either technical accessibility or producible particle diversity. While the use of gas-impermeable molds presents a promising solution to these challenges, particle production within such molds necessitates addressing two critical issues: precursor loading and particle recovery. This study introduces a REM methodology specifically tailored to enable the production of anisotropic microparticles within gas-impermeable molds. To address the issue of precursor loading, our approach incorporates the air-through-precursor suction method, employing a degassed polydimethylsiloxane block to effectively eliminate air bubbles trapped in microwells. Additionally, fluorosilane pretreatment of the mold surface, along with the polyvinyl alcohol film formation, significantly enhances particle recovery up to 249-fold while ensuring particle homogeneity. This methodology demonstrates high adaptability to various gas-impermeable molds and curing techniques. The practical feasibility is illustrated through the successful production of functional composite microparticles that can be effectively utilized for oxygen sensing and self-assembly, challenging in conventional REM.

Controlled growth factor delivery via a degradable poly(lactic acid) hydrogel microcarrier synthesized using degassed micromolding lithography.

Controlled and targeted delivery of growth factors to biological environments is important for tissue regeneration. Polylactic acid (PLA) hydrogel microparticles are attractive carriers for the delivery of therapeutic cargoes based on their superior biocompatibility and biodegradability, uniform encapsulation of cargoes, and non-requirement of organic solvents during particle synthesis. In this study, we newly present controlled growth factor delivery utilizing PLA-based hydrogel microcarriers synthesized via degassed micromolding lithography (DML). Based on the direct gelation procedure from the single-phase aqueous precursor in DML, bovine serum albumin, a model protein of growth factor, and fibroblast growth factor were encapsulated into microparticles with uniform distribution. In addition, by tuning the monomer concentration and adding a hydrolytically stable crosslinker, the release of encapsulated cargoes was efficiently controlled and extended to 2 weeks. Finally, we demonstrated the biological activity of encapsulated FGF-2 in PLA-based microparticles using a fibroblast proliferation assay.

Highly Flexible Deep-Learning-Based Automatic Analysis for Graphically Encoded Hydrogel Microparticles.

Graphically encoded hydrogel microparticle (HMP)-based bioassay is a diagnostic tool characterized by exceptional multiplex detectability and robust sensitivity and specificity. Specifically, deep learning enables highly fast and accurate analyses of HMPs with diverse graphical codes. However, previous related studies have found the use of plain particles as data to be disadvantageous for accurate analyses of HMPs loaded with functional nanomaterials. Furthermore, the manual data annotation method used in existing approaches is highly labor-intensive and time-consuming. In this study, we present an efficient deep-learning-based analysis of encoded HMPs with diverse graphical codes and functional nanomaterials, utilizing the auto-annotation and synthetic data mixing methods for model training. The auto-annotation enhanced the throughput of dataset preparation up to 0.11 s/image. Using synthetic data mixing, a mean average precision of 0.88 was achieved in the analysis of encoded HMPs with magnetic nanoparticles, representing an approximately twofold improvement over the standard method. To evaluate the practical applicability of the proposed automatic analysis strategy, a single-image analysis was performed after the triplex immunoassay for the preeclampsia-related protein biomarkers. Finally, we accomplished a processing throughput of 0.353 s per sample for analyzing the result image.

Multiplex genotyping of SNPs in genomic DNA via hydrogel-based assay mediated with MutS and polyethylene glycol.

The simultaneous genotyping of multiple single nucleotide polymorphisms (SNPs) in genomic DNA derived from organisms holds significant potential for applications such as precision medicine and food product authentication. However, conventional assay technologies including qPCR-based techniques, microarrays, and hydrogel-based assays face limitations in efficient multiplexing of SNPs, particularly for large-size DNA beyond kilobase scales, due to constraints in multiplex capability, specificity, or sensitivity. In this study, a hydrogel-based multiplex SNP genotyping platform specifically designed for genomic DNA is presented. This platform integrates the ligation detection reaction (LDR) and rolling circle amplification (RCA) techniques within a hydrogel-based multiplex sensing system, enabling adaptable and sensitive SNP genotyping for genomic DNA. To enhance the specificity of the assay, MutS protein and polyethylene glycol are introduced into the protocol, reducing the non-specific ligation and RCA reactions synergistically. With significant specificity improvement of over 10-fold, three types of SNPs within an artificially constructed ∼1000 bp double-stranded DNA (dsDNA) are successfully genotyped with double-digit picomolar sensitivity. Furthermore, the practical applicability of the developed process for the origin identification of raw materials is demonstrated by genotyping three types of SNPs within genomic DNA obtained from two closely related plant species, Korean ginseng (Panax ginseng) and American ginseng (Panax quinquefolius), containing ca. 3.5 gigabase genome size. Of notable significance, this study marks the premiere achievement in PCR-free multiplex genotyping of SNPs in genomic DNA using a single fluorophore.

Synthesis of nonspherical superparamagnetic particles: in situ coprecipitation of magnetic nanoparticles in microgels prepared by stop-flow lithography.

We present the synthesis of nonspherical magnetic microparticles with multiple functionalities, shapes, and chemistries. Particle synthesis was performed in two steps: polymeric microparticles functionalized homogenously with carboxyl groups were generated using stop-flow lithography, and then in situ coprecipitation was used to grow magnetic nanoparticles at these carboxyl sites. With successive growth of magnetic nanoparticles, we obtained polymeric particles with saturation magnetizations of up to 42 emu/g microparticle. The growth in the magnetic nanoparticle mean size and polydispersity was determined from the magnetization curves obtained following each growth cycle; nanoparticle sizes were limited by the physical constraint of the effective mesh within the hosting gel microparticle. Particles with spatially segregated domains of varying magnetic properties (e.g., Janus particles, particles with step changes in magnetite concentration, etc.) can be synthesized readily using this approach.

Multiplex Assay for Rapid Detection and Analysis of Nucleic Acid Using Barcode Receptor Encoded Particle (BREP).

Several multiplex nucleic acid assay platforms have been developed in response to the increasing importance of nucleic acid analysis, but these assays should be optimized as per the requirements of point-of-care for clinical diagnosis. To achieve rapid and accurate detection, involving a simple procedure, we propose a new concept in the field of nucleic acid multiplex assay platforms using hydrogel microparticles, called barcode receptor-encoded particles (BREPs). The BREP assay detects multiple targets in a single reaction with a single fluorophore by analyzing graphically encoded hydrogel particles. By introducing sets of artificially synthesized barcode receptor and barcode probes, the BREP assay is easily applicable in multiplexing any genetic target; sets of barcode receptors and barcode probes should be designed delicately for universal application. The performance of the BREP assay was successfully verified in a multiplex assay for the identification of different malaria species with high sensitivity, wide dynamic range, fast detection time, and multiplexibility.

Encoded hydrogel microparticles with universal mismatch-incorporated DNA probes for highly specific multiplex detection of SNPs.

Hydrogel microparticle-based nucleic acid assays are an attractive detection platform based on their multiplexing capabilities with high sensitivity and specificity. A particular area of interest is single-nucleotide polymorphism (SNP) sensing, where multiple SNPs should be identified in a highly reliable yet economical manner. However, hydrogel microparticles leveraging probe-target hybridization as a key mechanism are hampered by small duplex stability differences arising from single base-pair mismatch. We have developed encoded hydrogel microparticles with DNA probes tailored for multiplex SNP detection. Within the DNA probes, we adopt a widely used base analog (5-nitroindole) so that it substitutes one of the base sequences among DNA probes. The effects of the modification of the probes' structure on SNP sensing has been tested from multiple perspectives, such as specificity, sensitivity, and available assay temperatures at a given ionic strength. We have validated that our hydrogel microparticles exhibit much higher specificity for a single base-pair mismatch with minimal reduction in sensitivity. Our particles can also detect multiple SNPs located in different target strands, which is a significant challenge for conventional particles.

Branched networks by directed assembly of shape anisotropic magnetic particles.

The directed assembly of shape anisotropic magnetic particles into targeted macrostructures requires judicious particle design. We present a framework to understand the self-assembly of magnetic non-Brownian H-shaped particles and the formation of branched networks under an applied magnetic field. A finite element integration (FEI) method is developed to identify the preferred particle orientation (relative to the applied field) at different values of the geometric parameters defining H shapes, and used to construct a phase diagram to generalize the results. Theoretical predictions are validated by comparing with experiments performed using magnetic hydrogels synthesized using stop-flow lithography (SFL). We demonstrate the ability of H-shaped particles to form chains parallel to the field that can thicken in a direction orthogonal to the field, and in some cases with branching. The assembly of a suspension containing H-shaped particles, or rods, or a combination of both, is reported.