Sukwon
Jung
,
Joel L.
Kaar
* and
Mark P.
Stoykovich
*
Department of Chemical and Biological Engineering, University of Colorado, Boulder 80303, USA. E-mail: joel.kaar@colorado.edu; mark.stoykovich@colorado.edu
First published on 10th May 2016
Photonic crystals embedded in analyte responsive hydrogels provide a powerful platform for biosensing and have benefitted from recent advances in polymer synthesis and functionalization, nanofabrication, and optical characterization. In this review, state-of-the-art techniques for the fabrication and functionalization of photonic crystal hydrogels are presented, along with a fundamental description of how such materials transduce detection of a target analyte into a simple optical readout. Specific biosensing applications using photonic crystal hydrogels are highlighted, including for the detection of DNA hybridization and single-site DNA modifications, enzyme activity, and small molecule metabolites. Moreover, perspectives on using molecular-level interactions to design and engineer more sensitive or more selective biosensors, as well as future directions in this expanding field, are discussed.
Design, System, ApplicationAs a novel platform for the development of high-throughput and point-of-care biosensors, photonic crystal hydrogels hold considerable promise. Such materials consist of periodic nanostructures embedded within a responsive polymer network, and undergo changes in physical and optical properties in the presence of a target molecule. Due to the visual readout, simple design, and molecular-level customization, these materials have potential widespread utility for the detection of a broad spectrum of target biological molecules, ranging from ionic species, metabolites, nucleic acids, enzymes, and small molecules that alter biological function, including pesticides and nerve agents. To date, there has been considerable advancements in the design, fabrication, and functionalization of photonic crystal hydrogels, leading to far-reaching improvements in sensitivity and selectivity. In light of such advancements, exciting directions in the molecular design and implementation of these materials have emerged, leading to new opportunities to exploit the advantages of this biosensing platform. |
In this review, we focus on recent advances to a biosensing platform that is based on photonic crystals embedded in analyte-sensitive hydrogels. Photonic crystals with two-dimensional (2D) or three-dimensional (3D) structures provide a periodic dielectric in a low-loss medium that is capable of manipulating or controlling light, often in the visible spectral range, such that particular colors are reflected or transmitted.10,11 Swelling or shrinking of the hydrogel, in response to the analyte of interest, induces changes in the structure of the photonic crystal that are thus transduced into an optical response.10–12 Although such sensor designs were originally demonstrated for the detection of ionic and small molecule species (e.g., Cu2+, Co2+, Ni2+, Zn2+, Hg2+, Pb2+, H+, glucose, ammonia, surfactants, creatinine, and parathion),13–20 the direct detection of biomolecules and biomolecule function, including enzyme activity, represents a new and exciting application space for this sensing approach. As summarized here, biosensors based on photonic crystal hydrogels are particularly well-suited for the detection of metabolites, biomacromolecules (such as proteins and DNA), and even cells and the secretion of extracellular products. Notably, the transduction of the detector signal into a simple optical readout by the photonic crystal may be useful for point-of-care diagnostics.12 Another attractive aspect of photonic crystal hydrogel biosensors is that they permit label-free detection of analytes, thereby eliminating the requirement of exogenous labels or reagents.21–23 This unique aspect of this sensing approach, which may be implemented in multiplexed formats for high-throughput drug or metabolite screening, may constitute a significant advantage over conventional bioassays.
Throughout this review, molecular-level aspects of the design and functionalization of the photonic crystal hydrogels are highlighted as enabling features in the development of novel biosensor assays. Such hydrogels may specifically be designed to respond to diverse stimuli and molecular interactions that allow for the detection of biological activity or biochemical interactions,24,25 as well as changes to physical structure or mechanical forces,26,27 molecular configurations,28–31 ionic environments,16,32,33 or even hydrogen bonding.34–36 One significant advantage of hydrogel-based biosensors is their ready functionalization with recognition molecules, including enzymes,37,38 antibodies,39,40 aptamers,41,42 and nucleic acids43,44 using conventional bioconjugation strategies. Additionally, the hydrogel component itself may be rationally tuned such as by altering polymer composition to respond to local changes in chemical environment without functionalization.18,34,36 The following sections summarize the design and fabrication of photonic crystal hydrogel biosensors as well as the mechanisms by which molecular interactions between the analyte and hydrogel may be exploited to elicit a detectable response.
The CCAs may be encapsulated in hydrogel matrices, as shown in Fig. 1a, by self-assembly of the nanoparticle structures in the presence of hydrogel precursors and subsequent initiation of radical polymerization of the crosslinked hydrogel networks by exposure to heat or UV light.55–57 Often the CCA nanoparticles are themselves functionalized such that they are covalently linked into the hydrogel network during polymerization,25 which assists in immobilizing the CCA structure and prevents leaching of the nanoparticles from the hydrogel, including during swelling or shrinkage. Since assembly of the CCA is driven by electrostatic interactions, the selection of the monomer, photoinitiator, and environment (e.g., ionic strength) is critical. In light of this, mixtures of the CCAs and hydrogel precursors are commonly equilibrated with ion-exchange resins to remove any charged species other than those on the CCA nanoparticles (i.e., from unreacted monomer from the preparation of the colloidal nanoparticles, inhibitors, or the aqueous solvent) prior to self-assembly. Additionally, many water soluble photoinitiators or charged monomers, such as acrylic acid or azide-functionalized monomers that might serve as reactive groups for functionalization of the hydrogels post-preparation, may disrupt CCA assembly and thus are generally avoided as precursors for hydrogel synthesis. The most common monomer and crosslinker utilized for CCA hydrogel fabrication are acrylamide and N,N′-methylenebisacrylamide, respectively. As discussed below, such acrylamide-based hydrogels have been extensively used as a platform for hydrogel functionalization with target recognition moieties, either via post-polymerization modification or copolymerization of acrylamide with uncharged but reactive monomeric species (e.g., with alkynes, epoxides, or isocyanates).
Fig. 1 Preparation of CCA and inverse opal based photonic crystal hydrogels. (a) Scheme of the fabrication procedure for CCA hydrogels and representative diffraction spectra of the CCA hydrogels depending on the crystal lattice spacing. Adapted from ref. 25. Copyright (2014) American Chemical Society. (b) Scheme of the fabrication procedure for inverse opal hydrogels (i), SEM images of an opal template (ii) and its corresponding inverse opal structure (iii), and a diffraction spectrum of the inverse opal hydrogel (iv). Adapted from ref. 58. Copyright (2012) WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
Fig. 2 (a) A representative TEM image of holographic hydrogels consisting of periodic layers of silver nanoparticles (dark dots) embedded in a hydrogel matrix (i), as fabricated using a Lloyd's mirror interferometry approach that exposes regular grating patterns in the hydrogel swollen with silver halide precursors (ii). A representative diffraction spectrum from the holographic hydrogels is shown in (iii). Adapted from ref. 21 and 76. Copyright (2002 & 2014) American Chemical Society. (b) Representative SEM images of a diblock copolymer-based photonic crystal hydrogel that forms lamellar sheets (i), and a schematic diagram of the polystyrene-b-quaternized poly(2-vinyl pyridine) molecular structure and its optical response based on the self-assembled structure (ii). Adapted from ref. 77. Copyright (2007) Nature Publishing Group. |
An alternative approach for the incorporation of recognition molecules into photonic crystal hydrogels entails post-polymerization conjugation to the hydrogel network.24,25,96,97 This approach requires the initial hydrogels to have some reactive functional groups to which the recognition molecules may be attached. As one example, acrylamide-based hydrogels can be hydrolyzed to substitute chemically reactive carboxylic acid groups for inert amide ones.25,98 Hydrogels may also be copolymerized with well-defined concentrations of monomers containing chemically reactive functional groups (e.g., alkynes, carboxylic acids, or epoxides).24,64,97,99 Multiple and chemically orthogonal functional groups may even be incorporated into the same hydrogel. For example, amine-containing molecules may be conjugated with carboxylic acid-containing hydrogels using EDC/NHS coupling chemistry19,20,25 and, separately, azide-containing molecules can be directly conjugated with alkyne-containing hydrogels via the highly selective and rapid click cycloaddition reaction.97 Diverse combinations of conjugation chemistries for the functionalization of hydrogels after polymerization are available, which have been described in detail elsewhere.100–102
(1) |
Fig. 3 Optical response of photonic crystal hydrogel sensors. (a) Schematic diagram describing the optical response of a photonic crystal hydrogel in response to changes in its volume. (b) Theoretically expected optical response of photonic crystal hydrogels as a function of the polymer-solvent interaction parameter χ and the shear modulus of the hydrogel. Adapted from ref. 97. Copyright (2015) American Chemical Society. |
The optical response can thus be described by Flory–Rehner theory for hydrogel swelling106 in which the hydrogel volume at equilibrium (V) is determined by balancing the osmotic pressure across the hydrogel–environment interface.
ΠT = Πion + ΠM + ΠE = 0 | (2) |
(3) |
(4) |
(5) |
According to this theory, the Donnan potential induced by the immobilized ion concentration within the hydrogels may change upon interaction with target analytes and provides a driving force (i.e., change in osmotic pressure Πion) that elicits the hydrogel to swell or shrink. The Donnan potential may be manipulated by changes in the total concentration of the immobilized ions or the ionic strength of the solvent medium for a greater optical response. Moreover, material parameters of the hydrogels, including the polymer-solvent interaction parameter (χ) and the crosslinking density (ve), play a crucial role in determining the hydrogel volume at equilibrium. First, the χ parameter describes the thermodynamic preference of the polymer networks to interact with the solvents, with smaller values of χ indicative of more favorable polymer–solvent interactions compared to the polymer–polymer interactions and resulting in swollen gels that are more sensitive and optically responsive to changes in the polymer or solvent environment. Next, the crosslinking density is proportional to the shear modulus of the hydrogel (G′ = veRT ϕ1/3 where G′ and ϕ are the shear modulus and the polymer volume fraction, respectively)106 and the elastic restoring force that resists gel deformation away from the unstrained state. Hydrogels with a lower extent of crosslinking density (i.e., lower moduli) therefore have greater volumetric changes and are more sensitive to external stimuli.
Combined, the Flory–Rehner equation for hydrogel swelling and the Bragg–Snell equation for diffraction provide a theoretical basis for the molecular-level design of photonic crystal hydrogels with high sensitivity and desirable optical responses (e.g., responses in the visible or near-IR range) for biosensing. Tuning of the photonic crystal hydrogels may be accomplished, in part, by rational manipulation of the hydrogel properties and the sensing environment. For example, the effect of χ and shear modulus on the optical response of photonic crystal hydrogels is predicted in Fig. 3b,97 illustrating how the optical response of the photonic crystal can be readily tuned. The calculated results show a significant shift in the diffraction wavelength from the unstrained state, from blue to red colored materials, with decreasing χ or shear modulus that lower the energetic penalty for hydrogel swelling. Over the range that was examined, the optical response is more sensitive to changes in the polymer-solvent interactions than to the shear modulus, which allows even subtle modifications to the polymer or solvent quality to be detectable. In practice, these properties of the hydrogel may be modulated by the crosslink density and the composition of the monomeric constituents; the crosslink density may most directly be modulated via changes in the monomer concentrations in a pre-gel solution with a fixed crosslinker concentration and χ may be tuned by copolymerization with more or less hydrophilic monomers than the majority monomer (e.g., N-hydroxyethyl acrylamide or N-tert-butylacrylamide relative to acrylamide). Similarly, the functionalization of the polymer networks with recognition molecules for specific target detection (i.e., selectivity) has also to be considered in the design of the sensors based on photonic crystal hydrogels, as this functionalization may significantly affect the polymer-solvent interactions, the mechanical properties, or the immobilized charge in the hydrogels and thus the optical response.
Target analyte | Recognition molecule/strategy | Mechanism of hydrogel response | Sensitivity | Dynamic range | Ref. | |
---|---|---|---|---|---|---|
a Dissolved gas. b Gas. c With stabilizer poly(ethylene glycol) or 15-crown-5. d With high PBA loading density, e With stabilizer (3-acrylamidopropyl)trimethylammonium chloride. f Low ionic strength. g High ionic strength. h In 130 mM and 150 mM Na+ background. i Bacterial growth monitoring. j In tear fluid. k In urine. | ||||||
CCA sensor | Cd2+ | Thiourea | Crosslinking | 0.01 mM | <10 mM | 90 |
Hg2+ | Aptamer | Crosslinking | 10 nM | <0.1 mM | 125 | |
Pb2+ | Crown ether (18-crown-6) | Donnan potential | 0.1 μMf | <20 mMf | 14 | |
Donnan potential | 0.5 μMg | <2.5 mMg | 108 | |||
Aptamer | Crosslinking | 1 nM | <1 mM | 125 | ||
Ammonia | Berthelot reaction | Crosslinking | 50 μM | <0.35 mM | 17 | |
Glucose | Phenylboronic acid (PBA) | Donnan potential | 50 μMf | <40 mMf | 117 | |
Crosslinkingc | 0.2 mMg | <10 mMg | 109 | |||
Crosslinkingd | 0.15 mMg | <5 mMg | 121 | |||
Glycine | Tetracycline–copper(II) complex | Donnan potential | 0.01 nM | <10 mM | 126 | |
Inverse opal sensor | Hg2+ | Carboxylic acid | Crosslinking | 10 nM | <1 mM | 63 |
Acetate | Thiourea | Donnan potential | 1 mM | <10 mM | 122 | |
CO2a | Tertiary amine | Donnan potential | 0.2% | <100% | 123 | |
Cyanide | Trifluoroacetyl | Donnan potential (major) χ parameter (minor) | 0.1 μM | <1 mM | 58 | |
Glucose | PBA | Donnan potential | 0.1 mM | <100 mM | 118 | |
Holographic sensor | Divalent metal ions | Iminodiacetic acid | Crosslinking | ∼5 mM | <40 mM | 13 |
K+ | Crown ether (18-crown-6) | Donnan potential | 1 mMh | <33 mMh | 76 | |
Pb2+ | 8-Hydroxyquinoline | Crosslinking | 0.1 mM | <10 mM | 127 | |
Ammoniab | Sulfonate | Crosslinking | 0.19% | <12.5% | 128 | |
Glucose | PBA | Donnan potential | 2 mMi | <11 mMi | 119 | |
Crosslinkinge | 1 mM | <6 mM | 129 | |||
Crosslinkinge | 5 mMj | <20 mMj | 110 | |||
Donnan potential | 2.4 mM (pH 7) 0.9 mM (pH 8) | <10 mMk | 92 |
Although the lack of specificity allows for the straightforward design of a single sensor for the detection of many types of analytes, the χ parameter that describes the polymer–solvent interactions is complicated. As a free-energy parameter, it captures enthalpic and entropic contributions, and may be fairly well estimated as χ = χs + (Vsolvent/RT)(δsolvent − δpolymer)2 where χs and Vsolvent represent an entropic component of χ and the molar volume of the solvent, respectively. δsolvent and δpolymer are the solubility parameters for the solvent and polymer, respectively.81 On a per molecule basis, the detector response may therefore be optimized by maximizing the change in χ in the presence of the target analyte from the reference state. Two key observations may be made based on this theory. First, the dynamic range of hydrogel sensors that respond to changes in χ is maximized when the reference material without analyte has a χ = 0 or χ = χC that corresponds to the critical interaction parameter at which the hydrogel fully collapses (note, more sophisticated theories have been developed113 in these polymer concentrated regimes in which the interaction parameter is assumed to be concentration dependent such that χ = χ1 + χ2ϕ). Second, since most hydrogels used for sensing applications start with interaction parameters between these limits (0 < χ < χC), the presence of the analyte may either increase or decrease the favorability of the polymer-solvent interactions such that hydrogel swelling or shrinking may be observed and the corresponding optical response may either red- or blue-shift. Fortunately, the solubility parameters are available for many common solvents and polymers,114,115 allowing for the prediction of the sensor response and its relative magnitude to specific analytes with relative ease. Group contribution theory81,116 may also be used to estimate the solubility parameters of novel polymers or specific polymer modifications as may occur during hydrogel functionalization and analyte binding.
Metabolites that interact with specificity to the photonic crystal hydrogel may also be detected. As one example, glucose sensors based on responsive hydrogels have been developed based on the inclusion of phenylboronic acid (PBA) derivatives as specific recognition molecules.91,92,117–120 The PBAs copolymerized with the hydrogel polymer network can bind with the diols in glucose, such that the PBA–glucose complexes have lower pKa values than the uncomplexed PBAs leading to borate anion formation at standard pHs for detection. Based on this binding mechanism, the PBA-functionalized photonic crystal hydrogels have a greater immobilized negative charge and the volumetric response resulting from changes in the Donnan potential may be correlated to a quantifiable glucose concentration. Although functionalization of the sensors with greater concentrations of PBAs may be anticipated to yield higher sensitivities, the relative hydrophobicity of PBA increases the χ value of the hydrogel matrices resulting in a less sensitive optical response in some instances.119,120 The molecular structure of the PBAs, including the position of the boronic acid on the phenyl ring and the inclusion of electron withdrawing substituents, can also influence the optical response of the sensors by changing the pKa of the PBA–glucose complexes.98 Using such approaches, glucose concentrations down to 50 μM were detected at low ionic strength,117 yet the optical response of this sensor was significantly reduced at high ionic strengths due to the dependence of the sensing mechanism on the Donnan potential. To address this challenge, ∼10-fold higher PBA loadings have been applied with demonstrated success121 and alternative sensing mechanisms have also been developed. One promising mechanism elicited hydrogel contraction via formation of a 2:1 PBA–glucose complex stabilized with additional components (e.g., poly(ethylene glycol) or the crown ether 15-crown-5) in the hydrogels.109 This approach allowed for detection of glucose down to concentrations of ∼0.2 mM in solutions with high ionic strength.
Inverse opal hydrogel sensors may also be designed to detect and quantify specific charged metabolites or toxins. For example, a trifluoroacetyl-functionalized inverse opal hydrogel sensor was designed in order to detect cyanide ions.58 Owing to the hydrophobicity of the functional monomer containing the trifluoroacetyl group (2-(methacryloyloxy)ethyl-4-(2,2,2-trifluoroacetamido) benzonate), the as-prepared inverse opal hydrogel was relatively hydrophobic. Upon the reaction between cyanide and the trifluoroacetyl group, negatively charged species were immobilized within the hydrogel leading to a decrease in the χ value as well as an increase in the Donnan potential. The hydrogel then swelled and a redshift in the diffraction wavelength was correlated to the cyanide concentrations. Note that, depending on the hydrogel hydrophobicity, the addition of organic solvents (e.g., 10% v/v CH3CN) to modify the solvent quality may yield improved optical responses of the inverse opal hydrogel sensors due to more favorable polymer-solvent interactions (i.e., lowered χ values). A thiourea-functionalized inverse opal hydrogel has also been designed to detect acetate.122 In this system, acetate was bound to amide groups in thiourea by hydrogen bonding and again led to negative charge immobilization within the hydrogel. This sensor design has limitations similar to others that are dependent on changes in the immobilized charge concentration and Donnan potential, namely that the sensors become ineffective at high acetate concentrations or in environments with high ionic strength.
A range of dissolved gases, including those produced during cellular metabolism, may also be detected with photonic crystal hydrogels. The diagnostic marker ammonia was quantified in human blood serum using CCA hydrogel sensors functionalized with 3-aminophenol.17 In such materials, the Berthelot reaction results in the creation of new crosslinks within the hydrogels and thus hydrogel contraction. Additionally, inverse opal sensors for the measurement of dissolved CO2 (ref. 123) and ammonia gas124 have been reported. The inverse opal CO2 gas sensor was designed by exploiting protonated tertiary amine groups in the sensor that selectively adsorbed dissolved CO2. A substantially different design has been used for the detection of ammonia gas, in which the inverse opal hydrogels were formed from conducting polymers consisting of poly(3,4-ethylenedioxythiophene) and pyrrole that exhibit changes in both volume and conductivity in the presence of ammonia gas and allow for optical and electrical signals to be measured simultaneously.
Target analyte | Recognition molecule/strategy | Mechanism of hydrogel response | Sensitivity | Dynamic range | Ref. | |
---|---|---|---|---|---|---|
a Suppressed gel contraction by inhibitor Hg2+. b Deoxygenated condition. c Gel contraction. | ||||||
CCA sensor | Hg2+ | Urease–urea reaction | Donnan potentiala | 1 ppb | <20 ppb | 15 |
Cholesterol | Cholesterol oxidase | Donnan potential | 0.4 mM | <5 mM | 38 | |
Creatinine | Creatinine deiminase/2-nitrophenol | χ parameter | 10 μM | <1 mM | 19 | |
Glactose | Galactosidase | Donnan potential | 0.1 mM | <0.33 mM | 37 | |
Glucose | Glucose oxidase | Donnan potential | 10 pMb | <0.5 mM | 14 | |
Methyl paraoxon | Organophosphorus hydrolase | χ parameter | 0.2 μM | <0.2 mM | 130 | |
Parathion | Acetylcholinesterase (AChE) | Donnan potential | 4.2 fM | <42 pM | 20 | |
Protein kinase A | Peptide | Donnan potential | 4 U μL−1 | <25 U μL−1 | 25 | |
Donnan potentialc | 0.1 U μL−1 | <10 U μL−1 | 97 | |||
Urea | Urease–urea reaction | Donnan potential | 0.05 mM | <0.5 mM | 132 | |
Inverse opal sensor | Glucose | Glucose oxidase | Donnan potential | 2 mM | <18 mM | 96 |
Holographic sensor | AChE | AChE–acetylcholine reaction | Donnan potential | 3.13 U mL−1 | <200 U mL−1 | 135 |
Penicillin G | Penicillinase–penicillin reaction | Donnan potential | 1 mM | <25 mM | 131 | |
Urea | Urease–urea reaction | Donnan potential | ∼5 mM | <50 mM | 131 |
A similar reaction sequence was used for the detection of the organophosphorus compound methyl paraoxon, which is a pesticide and common nerve agent simulant, with the enzyme organophosphorus hydrolase (OPH) and the pH-sensitive 3-aminophenolate immobilized in CCA hydrogels.130 A similar compound, parathion, which is also a pesticide and acetylcholinesterase (AChE) inhibitor, was detected down to femtomolar concentrations using CCA hydrogels immobilized with AChE.20 The enzymatic reaction between immobilized AChE and parathion led to phosphorylation of serine residues in the AChE and thus hydrogel swelling induced through the Donnan potential. The real-time and in-field detection of organophosphorus compounds, which are potential chemical warfare agents, represents an important potential application space that may take advantage of the visual reporting provided by photonic crystal hydrogels.
A photonic crystal hydrogel sensor functionalized with cholesterol oxidase (ChOx) has been also developed to measure the concentration of cholesterol in solution.38 For this, a CCA hydrogel platform containing chemically reactive epoxide groups was prepared through copolymerization of acrylamide and glycidyl methacrylate, then conjugated with ChOx via reactions between the epoxides and nucleophilic groups on the ChOx surface (e.g., Lys, Cys, His, or Tyr residues). The enzymatic reaction between cholesterol and ChOx resulted in the reduction of the flavin moiety in ChOx, which increased the immobilized anion concentration within the hydrogel. Other metabolites and diagnostic markers, such as urea131,132 and penicillin G,131 have been detected and quantified with photonic crystal hydrogel sensors using enzyme reactions to induce the volumetric and optical responses. Similarly, glucose was detected down to 10 pM concentrations under deoxygenated conditions by a glucose oxidase (GOx)-functionalized CCA hydrogel. A redshift in diffraction peak resulted from an increase in the concentration of immobilized anion in the gel as the flavin moiety of the GOx became reduced upon enzymatic reaction with glucose.14,37 Note that such sensing systems often become ineffective in the presence of oxygen which can re-oxidize the flavin, as well as in relatively high ionic strength buffering solutions that may be required for enzyme stabilization but that diminish the hydrogel response to the Donnan potential. Fortunately, it has been demonstrated that these practical issues may be resolved by sparging N2 through the sensing media during the reaction and rinsing the biosensor in a low ionic strength solution prior to measurement of the optical response.
Due to their role in regulating cellular processes, enzymes that catalyze the post-translational modification (PTM) of proteins represent important therapeutic targets for many diseases. At the molecular level, the attachment of chemical or biological moieties provides a mechanism to modulate intracellular protein levels and activity by altering protein folding, activity, stability, and cellular localization. Notably, changes in the intracellular level and activity of proteins involved in signaling networks can alter cell fate and lead to a myriad of diseases, including cancer, neurodegenerative diseases (e.g., Alzheimer's, Parkinson's), cardiovascular diseases, and autoimmune diseases (e.g., diabetes). However, enzymes that catalyze PTMs are inherently challenging to assay due to the lack of measurable signal that is generated by PTM reactions. Conventional biochemical methods to assay enzymes that catalyze PTMs nearly all use radiolabeled, fluorescent, or luminescent substrates. Photonic crystal hydrogel sensors have recently been designed to evaluate the activity of kinases that phosphorylate proteins to modulate cellular processes and function.25,97 For this purpose, CCA hydrogels were functionalized with a short peptide substrate (LRRASLG) that is a target for protein kinase A (PKA), as shown in Fig. 4. The serine residue in the recognition peptides were phosphorylated during the enzymatic reaction, resulting in additional immobilized negative charge and a greater Donnan potential within the hydrogels and thus inducing a detectable change in the hydrogel volume. Importantly, the sensitivity of the PKA responsive CCA hydrogel sensors were improved ∼8 fold by simply eliminating background charges on the hydrogel polymer backbones with a click chemistry approach for peptide conjugation instead of a conventional method using carboxylated CCA hydrogels and the EDC/NHS coupling reaction.97 By monitoring the diffraction shift, the PKA activities in the presence of the inhibitor H-89 (ref. 25) or in a cell lysate97 were quantitatively evaluated. Additionally, the reverse reaction (i.e., dephosphorylation) catalyzed by the enzyme phosphatase was also readily monitored using this approach, demonstrating the diverse nature of potential post-translational modification reactions that can be detected. Among the potential PTM reactions that may also be detected using this approach include glycosylation, acetylation, methylation, lipidation, sulfonation, nitrosylation, ubiquitination, and sumoylation, which have important implications in development and disease pathogenesis.133,134
Fig. 4 CCA hydrogel biosensor designed to monitor PKA activity. A redshift in diffraction wavelength is observed during the enzymatic reaction of PKA with recognition peptides that are conjugated in the hydrogel. Such biosensors are also able to detect the inhibition of kinase reactions by small molecules like H-89 (inset). Adapted from ref. 25. Copyright (2014) American Chemical Society. |
In order to detect and measure mercury concentrations in water, CCA hydrogel sensors were designed to quantify the inhibition of urease, which catalyzes the hydrolysis of urea, by Hg2+.15 Carboxylated CCA hydrogels (i.e., negatively-charged hydrogels) were initially functionalized with the urease by the EDC-mediated coupling reaction between carboxylic acids in the hydrogel and primary amines (e.g., available in lysines or the n-terminal amine) on the surface of the protein. When the enzymatic conversion of urea occurred with the available urease, free ions (NH4+ and HCO3−) were produced that caused the hydrogel to shrink by modifying the mobile ion concentration and Donnan potential. However, the inhibition of the enzyme by Hg2+ suppressed the hydrogel contraction, such that, by monitoring the relative extent of the blue-shift in diffraction, the concentration of Hg2+ in water was determined over the range of 1 to 20 ppb. The upper limit to the accurate detection of Hg2+ concentrations arises due to the Donnan potential dependent sensing mechanism; high Hg2+ concentrations yield high ionic strength solutions that inherently minimize the optical response.
Target analyte | Recognition molecule/strategy | Mechanism of hydrogel response | Sensitivity | Dynamic range | Ref. | |
---|---|---|---|---|---|---|
a Low ionic strength. b High ionic strength. c CFU: colony-forming unit. | ||||||
CCA sensor | Single-stranded (ss) DNA | Probe ssDNA | Donnan potential | 0.5 μM | <1 mM | 24 |
Methylated ssDNA | Probe ssDNA | χ parameter | 0.1 mM | <0.5 mM | 24 | |
Avidin | Biotin | Crosslinking | 0.09 mg mL−1a | <1 mg mL−1a | 141 | |
0.5 mg mL−1b | <1 mg mL−1b | |||||
Concanavalin A | Mannose | Crosslinking | 0.02 mg mL−1 | <2 mg mL−1 | 142 | |
Candida albicans (bacteria) | Concanavalin A | Crosslinking | 32 CFU mL−1c | <6 × 107 CFU mL−1c | 144 | |
Inverse opal sensor | ssDNA | Probe ssDNA | Crosslinking | 1 nM | <1 mM | 138 |
Avidin | Biotin | Crosslinking | 80 nM | <10 μM | 89 |
Fig. 5 CCA hydrogel biosensor designed to detect target DNA. A concentration-dependent redshift in diffraction wavelength was observed upon sequence specific nucleic acid hybridization due to increases in the immobilized negative charge. Shown are the responses for target DNA sequences that are a perfect match (PM), a one base pair mismatch (1bpMM), and randomized relative to the probe sequence. Adapted from ref. 24. Copyright (2015) Royal Society of Chemistry. |
Epigenetic and environmental modifications to DNA may also be detected by photonic crystal hydrogel sensors. For example, methylated DNA was distinguished from the unmethylated DNA reference using CCA hydrogel sensors by exploiting a difference in the magnitude of χ upon hybridization.24 It was determined that, given the observed response, each methylation group yielded a ∼2–3 nm shift in the wavelength of peak diffraction and that single methylation sites on a 18-mer DNA sequence may be detected. Similarly, it may be predicted that other chemical modifications to DNA, including hydroxymethylation or functionalities that are highly hydrophobic, will also be readily detectable using this approach. The response to such modifications may be predicted by estimates of the solubility parameters;81,116 for example, inclusion of a single phenyl modification can be predicted to have approximately three times the effect on χ as a methyl modification.24 Similarly, chemical carcinogens that form DNA adducts may be detected (e.g., benzo[a]pyrene is known to be covalently linked to guanines in DNA through a series of chemical reactions136,137 and to cause transversion mutations). DNA biosensing schemes based on photonic crystal hydrogels may then even provide opportunities to screen for chemical carcinogens and DNA adducts that lead to mutations from which cancer originates.
In other implementations based on the inverse opal structure, ssDNA was incorporated directly into the hydrogel as a crosslinker through polymerizable functional groups at the 5′- and 3′-ends.138 Upon hybridization of the complementary strand, the conformation of the DNA crosslinkers were modified such that the hydrogel contracted (i.e., resulting from an increase in the elastic restoring force of the hydrogel) and thus a blue-shift in diffraction was observed.
Nucleic acid-based aptamers that can bind to specific molecules or ions while changing their configuration have also gained increased attention as recognition molecules due to their high selectivity.139 Recently, CCA hydrogels with crosslinks formed by the aptamers whose sequences lead to T (thymine)–Hg2+–T complexes and G (guanine)-quadruplexes with Pb2+ were constructed for selective detection of Hg2+ and Pb2+ in water.125 Upon interaction with Hg2+ and Pb2+, the aptamers underwent a conformational change from a linear to hairpin-like and G-quadruplex structure, respectively, and induced hydrogel contraction. With these aptamer-based CCA hydrogel sensors, Hg2+ and Pb2+ were quantified down to 10 and 1 nM, respectively, and displayed negligible interference in the optical response at 100-fold excess concentrations of other metal ions (Ag+, Ba2+, Mn2+, Mg2+, Cr3+ and Fe3+).
Protein–ligand recognition can also be utilized to construct photonic crystal hydrogel biosensors. The formation of new crosslinks in the hydrogel network upon target protein binding to multiple recognition sites (i.e., ligands) may lead to significant hydrogel contraction.140 By utilizing this volumetric change in ligand-functionalized photonic crystal hydrogels, detection of model proteins (i.e., avidin and Concanavalin A) with CCA and inverse opal hydrogels has been demonstrated.89,141,142 In addition, tumor-specific markers (i.e., glycoproteins) have been detected by shrinkage of lectin- and antibody-functionalized hydrogels in response to the formation of lectin–glycoprotein–antibody complexes that act as reversible crosslinks.143 Such designs based on photonic crystal hydrogels are promising as label-free and reusable immunoassays.
When designing hydrogel responsive sensors for biomacromolecules or even microorganisms with sizes from 10 nm–10 μm, it is critical to consider the diffusion of such bulky components into the hydrogel matrix, especially when their direct bioactivity on the hydrogel is critical to the response mechanism. In such cases, the mesh size of the hydrogel network may sterically hinder the analyte penetration into the hydrogels and limit their function to the hydrogel surface.145–147 The Renkin equation148 can be used to estimate the hindered diffusion of large particles or macromolecules in the hydrogel matrix as a function of the network mesh size: Dm/D0 = (1 − ds/dm)2 × [1 − 2.10(ds/dm) + 2.09(ds/dm)2 − 0.95(ds/dm)5] where Dm and D0 represent the diffusion coefficients of targets in the hydrogel and solution, respectively, and ds and dm represent the hydrodynamic diameter of the target and the mesh size of the hydrogels, respectively. It is therefore necessary to design the hydrogel networks with dm ≫ ds, which may be achieved by reducing the crosslinking density, to assure rapid and complete penetration of the target analytes into the detector volume.
Uniformity of the 3D structure of the photonic crystal hydrogels, particularly over large volumes, is also desirable. A single-crystalline structure would in theory yield diffraction spectra with peaks that are monochromatic or at least much narrower, thereby providing greater detector sensitivity and allowing for smaller sampling volumes. In practice, however, variations in the crystalline structure arise during the self-assembly processes used to fabricate the photonic crystals, e.g., the arrays of colloidal spherical particles in the CCA and inverse opal designs, or the lamellar structures formed by block copolymers. Defects analogous to those in atomic crystals or liquid crystalline systems arise, which lead to crystalline grains of finite size.149 Although the free-energy of self-assembled systems would be minimized by annihilating defects to achieve a single-crystalline configuration, kinetic and thermodynamic barriers limit such processes particularly over large volumes, even when performed slowly (e.g., by dip coating54,61). Techniques may be applied to direct the self-assembly of crystalline structures with enhanced long-range order and perfection, particularly in thin films, using topographic guiding structures (i.e., graphoepitaxy) or external guiding fields (e.g., electric fields). Moreover, since the hydrogel and crystalline structures are often prepared simultaneously, the components influence each other and the resulting structure. For example, there is a competition between the relative rates of hydrogel polymerization and self-assembly that must necessarily favor slow polymerization rates; more subtle is that the mechanical stress upon hydrogel crosslinking may in turn induce reconstruction of the self-assembled morphology. Fabrication approaches that effectively decouple self-assembly from hydrogel preparation, or that avoid self-assembly altogether as in the holographic hydrogel materials, may therefore find greater utility in the future.
Characterization of the photonic crystal response is likewise an area that demands further development. One of the primary advantages of photonic crystals, as commonly implemented for sensing, is that they can be tuned to diffract in the visible range of wavelengths. This allows for detection by eye of the sensor response as a color change, albeit insensitively given the angular dependence of the response and the relatively poor ability of human vision to distinguish quantitatively between similar colors (e.g., greenish-blue vs. green vs. yellowish-green). Fortunately sensors based on photonic crystal hydrogels are also compatible with existing techniques for optical characterization including spectrophotometry and optical microscopy. In spite of the diverse tools that are readily available for characterizing such materials, the majority of the literature reports the use of reflectance spectroscopy in the visible spectral range from the surface of films of photonic crystal hydrogels. In some cases, however, it may be desirable to purposefully design the biosensors to have diffraction spectra with peaks outside the visible range. Given the strong absorbance of water, the hydrogel materials, and biological tissue in the UV, the most obvious alternative would be to design the sensors to operate in the near-IR window. Implantable photonic crystal hydrogel biosensors for continuous diagnostics (e.g., monitoring of glucose or cholesterol levels) or medical imaging may thus be envisioned. Alternatively, it may be desirable to tune the biosensor to operate in select ranges of the visible spectrum, for example in cases in which samples are simultaneously characterized by fluorescence microscopy or some of the biological components strongly autofluoresce.
Photonic crystal hydrogels may also be characterized in transmission, rather than reflection, by fabricating them in thin film formats, as shown in Fig. 6a, such that the diffraction wavelength is reported as a minimum in transmittance (%T) or a maximum in attenuance150 defined as D = −log10(%T/100). Performing spectroscopy in transmission, when combined with the readily adaptable fabrication schemes of CCA or inverse opal hydrogels (see sections 2.1 and 2.2), allows for the implementation of photonic crystal hydrogel biosensors in standard microtiter plates (e.g., 96- and 384-well microplates), as we have demonstrated in Fig. 6b. Microplate formats of photonic crystal hydrogel sensors may enable high-throughput characterization of target analytes using conventional microplate readers and allow for rapid drug discovery151 or screening enzymatic and cellular activity.152,153 These microplates may also be utilized for simultaneous multiple target sensing (i.e., multiplexing) upon functionalization of the hydrogel matrices in each well with specific recognition molecules as described in section 2.5.
Furthermore, it is possible to image local areas of photonic crystal hydrogel biosensors using optical microscopy, as we demonstrate in Fig. 6c. When combined with microscopic techniques (e.g., reflected light and dark field microscopy) and imaging analysis methods that may allow for collection of optical response spectra on a pixel-by-pixel basis, there are powerful tools to quantitatively sense localized changes to the hydrogel. The ability to map the local response at the microscale may find application for systems that have spatial variations in activity or that locally modify the hydrogel structure. Cellular systems may be of particular interest. Notably, the presence of Candida albicans, which causes fungal infections in humans, has been detected with CCA hydrogels functionalized with protein Concanavalin A that can specifically bind to mannan epitopes displayed on the surface of C. albicans.144 Microscopy techniques would allow detection at a single cell level, including distinguishing specific cell types amongst a diverse colony. More broadly, photonic crystal hydrogel sensors would allow for selection of cell sub-populations, for example when plated and cultured from large libraries generated by cellular or metabolic engineering techniques, that yield with vigor extracellular products of particular interest.
Similarly, the in vitro characterization of the interaction of cells with their substrate and environment in cell culture and tissue engineering is a field of active investigation due to its importance in cell growth and migration. Hydrogels of polyacrylamide or poly(ethylene glycol) embedded with photonic crystals are compatible with tissue culture as two-dimensional substrates and would allow for quantification and mapping of the local mechanical forces applied by adherent cells on the substrate.154 These forces occur primarily at dynamic positions known as focal adhesions and include, in part, pulling forces that arise due to contractile macromolecular assemblies.155 The ability of cells to remodel their substrates, either by degradation or deposition of additional extracellular matrix material, may also be explored using photonic crystal hydrogel sensors. For example, hydrogels with oligopeptide crosslinks sensitive to cleavage by matrix metalloproteinases (MMPs) could be used to visually display local changes to the mechanical modulus that occur upon matrix remodeling.156
In conclusion, responsive hydrogels embedded with photonic crystals function successfully as biosensors by transducing physical changes in structure to optical readouts. Such systems are sensitive to mechanical stresses, chemical interactions, and biological activity, and may be exploited to identify small molecule chemicals and metabolites, large biomacromolecules and their activity, and even cellular behavior. Significant effort has been put forth in terms of the molecular-level design, fabrication, and functionalization of photonic crystal hydrogels to yield biosensors that are sensitive, selective, label-free, reversible and reliable, and capable of providing quantitative information. However, opportunities remain to further engineer the materials and characterization methods prior to implementation in commercial bioassays, particularly for applications that can exploit the compatibility with existing tools for high-throughput and multiplexed screening.
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