Zifeng Zhangab,
Shiwen Wangb,
Guanjiang Liub,
Debo Hubc,
Bei Yangbc,
Qing Daiabc and
Qian Dou*b
aSchool of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
bDivision of Nanophotonics, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China. E-mail: douq@nanoctr.cn
cCenter of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
First published on 12th August 2021
A glucose biosensor prepared using interpenetrating polymer network (IPN) hydrogel as a sensing material is the subject of growing interest due to its fast response and high sensitivity. However, the IPN hydrogel circumvents the traditional antifouling strategy, which often requires thick antifouling coating that can result in poor glucose sensitivity owing to its energetic physical barrier (greater than 43 nm); thus a complex, time-consuming and high-cost salivary preprocessing is needed to remove protein contaminants before salivary glucose detection using the IPN hydrogel. This limits its practical application in trace salivary glucose-level monitoring. Herein, a new hydrogel film based on a sandwich array (HFSA) with a weak physical barrier, which exhibits superior antifouling and sensitivity in salivary glucose detection is reported. HFSA relies on the formation of the sandwich structure containing substrate-grafted, surface-grafted zwitterionic polymer brushes (pSBMA) and phenylboronic acid (PBA)-functionalized hydrogel. The synergistic effect originating from pSBMA brushes on the surface of HFSA and inside the HFSA matrix provides a suitable physical barrier (∼28 nm) and a robust hydration layer for HFSA, which can enhance its sensitivity and antifouling. The results show that HFSA reduce the adsorption of nonspecific protein in 10% saliva by nearly 90% and enhanced the glucose sensitivity by 130%, compared to the IPN hydrogel film. These results demonstrate that HFSA exhibits significant potential as an antifouling and sensitive glucose probe for QCM sensors in non-invasive salivary glucose monitoring.
Driven by the increase in problems induced by protein fouling, numerous antifouling materials, such as monolayer protein,28 Nafion,29,30 poly(ethyleneglycol) (PEG),31 poly(sulfobetaine methacrylate) (pSBMA)32 and self-assembled lubricin (LUB)33 have been developed to form a protective antifouling coating to reduce nonspecific protein adsorption.34,35 It has been proposed that the formation of a hydration layer on a non-fouling material prevents protein adsorption by forming a physical barrier. The strength of the physical barrier is determined by many factors but the thickness of the antifouling coating is one of the most important factors.36 In general, the thick antifouling coating can form an energetic physical barrier. Although the energetic physical barrier can effectively reduce nonspecific protein adsorption from complex media such as undiluted blood plasma, the interaction of glucose molecules with glucose-sensitive hydrogel matrix can also be impeded.37–41 This leads to poor glucose sensitivity, which cannot meet the requirements of low salivary glucose levels. But then, if the antifouling coating is too thin, their ability to form a physical barrier will be so greatly impaired that no significant performance of protein resistance can be achieved.
Recently, three-dimensional porous antifouling coating42 has been reported to overcome the drawback of the traditional antifouling coating. In order to enhance the sensitivity, nanomaterials, such as nanoparticles should be added to the porous antifouling coating. However, the porous coating pores are susceptible to plugging by nanoparticles because their diameter is larger than that of the pores in the coating, thus still causing sensitivity loss of the sensor. Therefore, the key challenge for salivary glucose detection is how to provide a suitable physical barrier for glucose biosensors so that they can achieve superior protein resistance and glucose sensitivity.
In the present work, we hypothesize that a weak physical barrier can minimize the glucose sensitivity loss and enhance the protein resistance of the QCM sensor if we simultaneously utilize thin pSBMA brushes on the surface and within the IPN hydrogel to provide a robust hydration layer via synergistic effect. Currently, the synergistic antifouling effect is mainly focused on the simple combination of multiple antifouling components. However, these multiple components do not necessarily have excellent biofouling resistance because of their poor biocompatibility.43 Herein, we designed and synthesized a new hydrogel film based on the sandwich array (HFSA) with substrate-grafted and surface-grafted pSBMA brushes as antifouling components and phenylboronic acid (PBA)-functionalized hydrogel as glucose-sensitive component (Fig. 1a). HFSA can achieve ultra-low protein fouling and high glucose sensitivity, which are mainly attributed to the synergistic effect originating from substrate-grafted and surface-grafted antifouling pSBMA brushes, and the presence of a robust hydration layer and weak physical barrier. The experimental results demonstrated that the surface of HFSA with a 28 nm physical barrier has a low detection limit of 3 mg L−1 and achieves typical salivary glucose level (0–50 mg L−1) monitoring without complex salivary preprocessing compared to IPN hydrogel. Therefore, this study presents a new strategy for improving the antifouling properties and sensitivity of glucose sensors.
An obvious rainbow colour can be seen on the surface of the HFSA-coated quartz chip (Fig. 2a(i)), indicating that the HFSA was uneven. Fig. 2a(ii) shows that the cross-sectional HFSA is compact, which can increase the number of boric acid groups in the hydrogel matrix and enhance glucose sensitivity.46 The schematic diagrams of the protein resistance and glucose sensitivity of HFSA were shown in Fig. 2a(iii). Owing to the synergistic effect of surface and substrate-grafted pSBMA brushes, HFSA can be highly resistant to bacterial adhesion and biofilm formation via a robust hydration layer. Moreover, owing to the synergistic protein-resistive effect, the surfaced-grafted pSBMA brushes have a thin layer, which can form a weak physical barrier. As a consequence, with a weak physical barrier on the surface and a robust hydration layer, HFSA can achieve a high glucose sensitivity.47 However, in contrast, in order to obtain the ultra-low protein fouling, the traditional thick and dense antifouling coating are distributed on the surface of the hydrogel (Fig. 2b). This could result in poor sensitivity owing to the energetic physical barrier on its surface.
The chemical reaction occurring at the surface of IPN hydrogel was characterized by FT-IR (Fig. 3a). The characteristic peaks at 1340 cm−1, 1660 cm−1, and 3310 cm−1 in FTIR of IPN hydrogel are for stretching vibrations of –B(OH)2, CC in the aromatic ring, and O–H, respectively (Fig. 3a(I)). After the introduction of the Au film, the characteristic peaks of IPN hydrogel disappeared (Fig. 3a(II)), which might be attributed to the absorption of infrared light by the Au film. After the introduction of the MUBiB initiator on IPN hydrogel, there was no obvious characteristic peak (Fig. 3a(III)). This is because there was just a very thin layer of initiator immobilized on the surface of IPN hydrogel.48 The bands at 1364 cm−1, 1490 cm−1, and 1750 cm−1 are mainly attributed to the bending vibrations of C–H in CH3, the stretching vibration of C–N in N+(CH3)2, and stretching vibrations of CO in –COOC segments respectively, which demonstrated that the pSBMA brushes were successfully attached to the surface of IPN hydrogel (Fig. 3a(IV)).49 To further confirm the surface properties of HFSA during each step of its synthesis process, XPS was utilized as the method for tracking the surface composition variation of the initiator on IPN hydrogel and HFSA. Table S1† lists the detailed data from XPS scans on different surfaces. According to the data, the characteristic signal of bromine (2.63%, Br3d) appeared with a binding energy of about 69 eV (Fig. 3b), indicating the existence of an initiator on the surface of IPN hydrogel. After the ATRP reactions occurred for 0.5 h, the characteristic signal of bromine disappeared while the characteristic signal of sulfobetaine (S2p at 167 eV, N1S at 402 eV) was obviously observed as compared with the survey scan spectrum of MUBiB initiator modified IPN hydrogel, indicating the pSBMA brushes were successfully grown from the surface of IPN hydrogel. Some researchers50 suggested that the disappearance of the bromine signal might be because the XPS method only measures a depth of ∼10 nm, the chains on the surface are entangled and the living chains-end may not be located directly on the outermost layer. AFM images revealed the morphological features of different surfaces. In Fig. 3c, the IPN hydrogel was a little rough, and the roughness was 24 nm. After the introduction of the Au film, the roughness of IPN hydrogel increased to 50 nm (Fig. 3d). The Au film-coated IPN hydrogel showed a folded appearance. The roughness of MUBiB initiator modified IPN hydrogel decreased to 31 nm as compared with that of Au film-coated IPN hydrogel (Fig. 3e), which might be attributed to a homogeneous and very thin layer of the initiator immobilized on the surface of IPN hydrogel. After incorporating pSBMA brushes onto the surface of IPN hydrogel via surface-initiated ATRP, the surface roughness (Rms = 30 nm) barely increased as compared with that of the initiator-modified IPN hydrogel, indicating the formation of homogeneous pSBMA brushes (Fig. 3f). The homogeneous pSBMA brushes can achieve exceptional resistance to protein adsorption, presumably because these brushes present a high-enough surface density of SBMA moieties at the solid/water interface to prevent the adsorption of proteins.27 These results suggested that HFSA had been successfully prepared.
The common methods for grafting of antifouling materials from polymeric membrane surfaces were through surface-initiated ATRP, in which the first step is conventional to introduce the initiator onto the film surface via chemical methods. However, the modification of the initiator in the film needs harsh reaction conditions51,52 including an ice bath, toxic organic solvents (such as tetrahydrofuran and dichloromethane), and nitrogen protection.
To overcome the above drawbacks, the Au film was deposited onto the surface of IPN hydrogel via magnetron sputtering, in this work, which allowed one-step functionalization of the surface of the IPN-hydrogel film with the sulfhydryl initiator. According to the deposition rate (60 nm min−1) of the Au film, we controlled the thickness of the Au film by adjusting the deposition time. If the deposition time was 3 s, the thickness of the Au film would be expressed as 3 nm. The total amount of proteins in the saliva is about 71–2232 mg L−1.53 To adjust the pH of the sample solution, the sample solutions consisting of pH = 7.5 PBS/saliva mixture (1:1 v/v) were used in the QCM test in this study. As a result, the concentration of protein in saliva could be diluted twice as much. Therefore, 500 mg L−1 Muc., 500 mg L−1 Lys., 500 mg L−1 BSA, and 500 mg L−1 Fib. were used in QCM tests to study the protein resistance of HFSA.
As can be seen in Fig. 4a, the protein resistance and glucose sensitivity showed a clear relationship with the thickness of the Au film. An obvious increase in the frequency shifts of Au films at thicknesses of 3 nm and 30 nm, respectively, when the four single protein solutions were pumped into the HFSA-coated QCM sensor. The increase in the frequency shift indicated a mass increase on the surface of the sensor, which was physically correlated with the increased mass of protein vibrating with the sensor.54 This may be attributed to the low surface coverage of pSBMA brushes, thus could reduce the hydration of the brushes and cause protein adsorption.55 A positive frequency shift was observed, and a similar result was also reported by Healy et al.,56 in which they observed a positive frequency shift when 300 mg L−1 Fib. was adsorbed onto the IPN film surface. They described that this is due to changes in viscosity and density of the bulk fluid compared to those of PBS. The effect of polymerization time of ATRP on protein resistance and glucose sensitivity is shown in Fig. 4b. In our recent work, we have demonstrated that the thickness of pSBMA brushes linearly increased with the increase in polymerization time (R2 = 0.994). Therefore, the thickness of surface-grafted pSBMA can be calculated based on the linear equation (y = 0.482x + 13.8).27 The frequency shifts were within 7 Hz and 35 Hz when four single protein solutions and 50 mg L−1 glucose solution were pumped into the HFSA-coated QCM sensor, which demonstrated that excellent protein resistance and glucose sensitivity occurred at a polymerization time of 30 min. According to the linear equation, the thickness of pSBMA brushes is 28 nm. In order to better understand the effect of a physical barrier on sensitivity, the physical barrier is expressed as the thickness of pSBMA brushes in this work. With longer polymerization time (such as 90 min), the glucose sensitivity and protein resistance decreased, which was attributed to the energetic physical barrier of pSBMA brushes and surface defects. Earlier studies55 have shown that the packing density played a key role in protein resistance. The uniform and suitable thickness of pSBMA brushes facilitated the achievement of superior protein resistance owing to an energetic physical barrier. However, very thick pSBMA brushes could lead to a strong dipole interaction between zwitterionic pairs, which would reduce the hydration of pSBMA brushes and cause protein adsorption. In general, a negative frequency shift should be observed when the glucose molecules were adsorbed on the HFSA-coated QCM sensor. The unexpected positive frequency shift may be attributed to the transport of water out of the hydrogel owing to the increasing cross-link density caused by the adsorption of glucose molecules, causing the mass of the sensing layer to decrease.47 Therefore, to obtain the HFSA with high glucose sensitivity and protein resistance, the thickness of Au film was selected as 4 nm and the polymerization time was selected as 30 min in this work. To study the effect of surface morphologies of Au films on glucose sensitivity, SEM images were collected to observe surface morphologies of IPN hydrogel coated with different thicknesses of Au film as shown in Fig. 4c–e. As shown in Fig. 4c, Au films on IPN hydrogel primarily consist of a percolating film with multiple voids at the film thickness of 4 nm, which facilitates the permeability of glucose. While, in comparison, Au films on IPN hydrogel exhibit an almost continuous structure with tiny voids at a thickness of 10 nm (Fig. 4d) and a continuous dense structure at a thickness of 30 nm (Fig. 4e), which resulted in a low permeability of glucose. A similar result was also reported by Yakubovsky et al.57
Fig. 5a shows that the QCM sensor based on the HFSA reveals little fluctuation in frequency shifts (1.1 Hz, the fundamental frequency of this system is 5 × 106 Hz, only 0.22 millionth of the fundamental frequency) over 240 min in pH = 7.5 PBS solution. This demonstrates that the HFSA-coated QCM sensor has good stability. The thickness of the film is an important parameter that dictates the performance of the HFSA. The different thicknesses of HFSA was obtained by controlling the thickness of IPN hydrogel. The different thickness of IPN hydrogel was obtained at different spinning speed. We performed an experiment to study the effect of HFSA with different thicknesses on protein resistance and glucose sensitivity. The film thicknesses were 220, 252, 300, 380 and 650 nm (Fig. S1†). From our experimental results, we find that, the thickness of the HFSA hydrogel has no conspicuous effect on protein resistance. This is mainly attributed to the strong hydration capacity of pSBMA brushes via ionic solvation.32 It was observed that the frequency shift in 50 mg L−1 glucose solution is increased as the film thickness is raised from 220 nm to 380 nm (Fig. S2†). This is likely because the thicker the HFSA, the more glucose molecules it can bind.58 Nonetheless, HFSA with a thickness of 650 nm had poor glucose sensitivity. A similar result was also observed by Dou et al.46 In their study, they demonstrated that the hydrogel film with a thickness of 600 nm had poor glucose sensitivity due to its poor viscoelasticity. Therefore, the thickness of HFSA was selected as 380 nm in this work. In order to avoid the error of thickness of HFSA using AFM measurement, SEM is further used to measure the thickness of HFSA. As shown in Fig. S3,† the thickness of HFSA obtained by SEM is 370 nm, which is similar to that (380 nm) obtained by AFM. The density of glucose in the saliva is only 1 to 10% of that in blood, and the typical salivary glucose level in humans is between 0.54 mg L−1 and 37.8 mg L−1.18 Therefore, the glucose concentration range of 0.0 to 50 mg L−1 was selected to study the glucose sensitivity in this work. The shift in the resonance frequency was plotted as a function of glucose concentration under different pH conditions (Fig. 5b). ΔF became more negative with increasing pH under all three investigated pH conditions. Phenylboronic acid exists in an aqueous solution in two forms: a negatively charged dissociated state and an uncharged non-dissociated state. A dissociation equilibrium exists between these two states (Fig. S4†). Non-dissociated phenylboronic acid is a flat triangle and forms an unstable complex with glucose, while dissociated phenylboronic acid has a tetrahedral structure and can form cyclic lactones with glucose molecules via the reversible interaction of diol-containing glucose molecules and the hydroxyl group of dissociated phenylboronic acid.59–61 The magnitude of the sensitivity of the sensor is larger at high pH (7.5) than at low pH (6.8), presumably due to the increased population of the dissociated phenylboronic acid form, which has a higher glucose affinity.62 The sensor shows good linearity from 0.0 to 50 mg L−1 (Fig. 5c), adequately encompassing the range of glucose concentration in saliva under physiological conditions. The linear correlation coefficients were 0.912 (pH = 6.8), 0.979 (pH = 7.3) and 0.965 (pH = 7.5). Fig. 5d shows the glucose response of the QCM sensor based on HFSA and IPN at pH = 7.5. It should be noted that the thickness of HFSA (380 nm) and IPN (440 nm)44 were selected as the optimized thickness toward glucose sensitivity. As shown in Fig. 4d, when the glucose concentration was increased to 50 mg L−1, the total frequency of HFSA and IPN was shifted by 35 Hz and 27 Hz, respectively. Obviously, HFSA exhibited ∼130% increase in glucose sensitivity compared with IPN. This is mainly attributed to HFSA possessing a weak physical barrier and robust hydrated layer via synergistic effect originating from substrate-grafted and surface-grafted pSBMA brushes. The effect of the hydrated layer on glucose sensitivity has also been demonstrated by our recent work.47 Subsequently, in order to obtain the low detection limit (LOD) of the HFSA-coated sensor, we gradually increased the glucose concentration. When the glucose concentration was increased to 3 mg L−1, ΔF had a relatively obvious increase (Fig. 5e). So the LOD of the sensor was 3 mg L−1, which is sufficient for applications in typical salivary glucose monitoring. In general, to confirm the repeatability of the sensor, three cycles of testings are needed.63 Therefore, five cycles of testing were selected in this study. In the present study, repeatability testing was performed by alternatively pumping PBS solution (pH = 7.5, glucose-free) and glucose solution (10, mg L−1) into the flow cell. As illustrated by Fig. 5f, HFSA still has a high sensitivity to glucose under various glucose concentrations after five cycles. Moreover, as listed in Table S2,† the relative standard deviations (%RSD) of the frequency response for the HFSA and IPN hydrogel at glucose concentrations of 10 mg L−1 are 4.3%, and 2.5% (ref. 27) (n = 5), respectively, which further demonstrated that HFSA has good repeatability. The response to interferences such as fructose was not tested in this study, and this is because there are almost no other saccharides except for glucose in saliva.53 Moreover, a recent study by Dou et al.,64 which investigated the influence of possible competitive binding of interference (0.1 mM) on glucose detection, demonstrated that the PBA-functionalized hydrogel film-coated QCM sensor can effectively detect glucose despite the presence of other saccharides, such as fructose, maltose, and lactose. To study the protein resistance of different film-coated QCM sensors, adsorption from a single protein solution of BSA, Muc., Fib., and Lys. on the IPN hydrogel, pSBMA coating-modified PBA-functionalized hydrogel, and HFSA was measured by the QCM sensor (Fig. 6a). There were obvious changes in frequency when the Lys. solution was pumped into the IPN hydrogel-coated QCM sensor, which demonstrated that the IPN hydrogel had high fouling from Lys. solution. The detailed surface composition of IPN hydrogel is shown in Table S3,† indicating that there was a little antifouling material (0.162% S2p) on the surface of the IPN hydrogel. In contrast, there was no obviously measurable change in frequency when a single protein solution was pumped into HFSA at a polymerization time of 30 min (28 nm physical barrier on its surface), which demonstrated that HFSA had excellent protein resistance owing to the robust hydration layers. However, high fouling from a single protein solution was observed on the pSBMA coating modified PBA-functionalized hydrogel at a similar physical barrier on its surface (Fig. S5†). Although the pSBMA coating modified PBA-functionalized hydrogel exhibited excellent protein resistance at a polymerization time of 60 min (43 nm physical barrier on its surface), it has poor glucose sensitivity.27
Saliva samples were provided through the project “early identification, early diagnosis and cutting point of diabetes risk factors” (2016YFC1305700). All participants were between 18–82 years old and they provided written informed consent. The donors fasted for 8 h prior to collecting samples. Participation in these studies was voluntary, and the medical ethics committee of Jiangsu Provincial Center for Disease Control and Prevention (JSJK2017-B003-02). China had approved the study protocols. To reduce the impact of differences in individual saliva content and acquire enough saliva samples, we mixed the saliva samples that originated from multiple people. Before the measurement, ion chromatography was used to detect the concentration of glucose in the mixed saliva. Only the glucose concentration of the mixed saliva is ≤1 mg L−1 that can be applied for glucose detection. In order to evaluate the protein resistance of HFSA in the real sample, diluted human saliva samples were pumped into flow cells mounted with an HFSA-coated QCM quartz chip. As shown in Fig. 6b, The HFSA-coated QCM sensor has better antifouling performance than IPN hydrogel-coated sensor in diluted saliva. The frequency shift (8 Hz) of HAS was 10.4-fold lower than that (83 Hz) of IPN hydrogel in 10% saliva, indicating that the HFSA reduces 90% nonspecific protein adsorption than the IPN hydrogel. To further verify the protein resistance of different films, SEM images of HFSA and IPN hydrogel film after incubating in human saliva for 48 h were collected and are shown in Fig. 6c and d compared with the IPN hydrogel film, there were almost no obvious biological molecules adhering on the surface of HFSA, showing that the HFSA has excellent resistance to biofouling. This is in agreement with the unobvious frequency shift of the hydrogel in diluted saliva. In order to quantify glucose in real samples, diluted human saliva samples (1:9 in PBS) were used as carrier solutions into flow cells mounted with the HFSA. Fig. 6e shows the detection of glucose in 10% diluted saliva by HFSA-coated QCM sensor. As the glucose concentrations gradually increased, the frequency shift became more negative. However, the detection of glucose in 10% diluted saliva by the IPN hydrogel had a larger frequency shift (138 Hz) than that (65 Hz) of HFSA due to nonspecific protein adsorption (Fig. S6a†). This can make it difficult to recognize small frequency changes generated by the binding of glucose molecules with their receptors from the total frequency response.65 Moreover, the IPN hydrogel-coated QCM sensor had poor linearity with R2 = 0.884 (Fig. S6b†) owing to the nonspecific protein adsorption. Unlike the IPN hydrogel-coated QCM sensor, the response of glucose in 10% diluted saliva by HFSA had good linearity with R2 = 0.965 (Fig. 6f). The HFSA-coated QCM sensor could detect the typical saliva glucose level (0–50 mg L−1) in diluted saliva without complex salivary preprocessing. Moreover, the limit of detection is 3 mg L−1, which is comparable or lower than those for most similar technology (Table S4†). These results demonstrate that HFSA can be used as a candidate for sensing glucose in saliva.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ra03517g |
This journal is © The Royal Society of Chemistry 2021 |