Abstract
Optical fiber gratings have widely proven their applicability in biosensing, especially when they are coupled with antibodies for specific antigen recognition. While this is customarily done with fibers coated by a thin metal film to benefit from plasmonic enhancement, in this paper, we propose to study their intrinsic properties, developing a label-free sensor for the detection of biomarkers in real-time without metal coatings for surface plasmon resonances. We focus on the inner properties of our modal sensor by immobilizing receptors directly on the silica surface, and reporting the sensitivity of bare tilted fiber Bragg gratings (TFBGs) used at near infrared wavelengths. We test different strategies to build our sensing surface against cytokeratins and show that the most reliable functionalization method is the electrostatic adsorption of antibodies on the fiber, allowing a limit of detection reaching 14 pM by following the guided cladding modes near the cut-off area. These results present the biodetection performance that TFBGs bring through their modal properties for different functionalizations and data processing strategies.
Keywords: optical fiber, fiber Bragg grating, immunosensing, cytokeratin, cancer biomarker, diagnosis
1. Introduction
Optical fiber biosensors are a growing center of interest thanks to their numerous advantages that have already been very widely described in the literature. Their low costs, high reliability, size, robustness, etc., are some of their many interests. They have also proven their biosensing skills, allowing the development of practical and minimally invasive tools for many types of bio-applications and for a large range of label-free molecular detections. In addition to that, they have reached very low limits of detection, earnestly competing with more conventional and commercially available biosensors [1,2].
However, a large number of these optical fiber biosensors exploit the surface plasmon resonance (SPR) phenomenon requiring the deposition of a thin metal film over their sensitive areas [3]. SPR consists of oscillations of electrons at the interface between positive and negative permittivity materials that are excited by incident light. These oscillations are sensitive to surface adsorption onto the metallic interface, often made of thin continuous films [4] or immobilized nanoparticles [5].
Over the last twenty years, SPR has been massively studied because the generation of surface plasmons increases the sensitivity of most of optical sensors [6]. To reach this sensitivity enhancement, perfect cleaning of the surface and precisely controlled gold deposition are needed to ensure a homogeneous deposit with a uniform thickness among the fiber surface. These gold depositions are often made by sputter-coaters or evaporators that need precise calibration. The gold layer thickness may also depend of the type of optical fiber used for experiments [7].
A hybrid phenomenon called “localized surface plasmon resonance” (LSPR) is also known to play a crucial role in sensing thanks to a higher light concentration occurring between metal nanoparticles and the analyzed sample, provoking an enhanced sensitivity due to the surface morphology [8]. In this case, the diameters and shapes of the nanoparticles are important parameters to manage in order to excite surface electrons localized at the metal interface [9].
Since the surface control is important, the inner properties of the optical fibers are also substantial to reach interesting biosensing features. Our group uses telecommunication-grade optical fibers where tilted fiber Bragg gratings (TFBGs) are photo-inscribed in the fiber core. These TFBGs can be used as physical sensors with growing interest in biomedical field [10,11,12], while their use as label-free SPR biosensors is possible when adding a continuous gold film of ~50 nm on the cladding surface [13]. Another important grating configuration for biosensing relies on long period fiber gratings (LPFGs) that excite cladding mode resonances in transmission mode [14,15]. Hence, techniques used for fiber surface functionalization such as those reported in this work are also relevant for this other sensing technology.
In this paper, we propose a refined approach consisting of an analysis of the intrinsic properties of our tilted gratings to demonstrate their characteristics and possibilities of biodetection with non-metallic surfaces. As a result, the absence of an intermediate conductive layer prevents SPR but still shows interesting properties for biosensing due to the high quality factor of the spectrum resonances involved in the detection scheme. We also propose three types of surface functionalizations, using three different coating processes to immobilize our receptors targeting cytokeratin proteins. A comparison between these three processes is also presented to select the most relevant method for detection using non plasmonic (bare) TFBGs in optical fibers.
Given the absence of any gold film, the biochemistry used for the immobilization of antibodies on the metal surface of SPR-assisted sensors can no longer be used and must be adapted for the pure silica glass of the optical fiber surface [16]. Fortunately, the binding of antibodies on glass has been the subject of an abundant literature and impressive progress have been realized for oriented or site-directed immobilizations [17]. However, biosensors need reliable binding of receptors, with a limited number of steps to achieve fast and repeatable process. We also notice that the advantages of biochemical strategies presented in the literature often differ, according to their final applications and pursued goals. This makes the transposition of functionalization protocols from one condition to another more complex, which explains why it is important to test the best molecular building blocks for our devices and to carefully consider the impact of the various conclusions reached in the many studies already published in that field. In the absence of the gold layer, several methods have been considered and adapted for use on optical fiber gratings. Three of them have been selected here as representative of three categories of molecular bonding.
The first immobilization process chosen is the covalent bonding of antibodies [18]. Covalent bonding is often presented as a stable graft, but antibodies can show reduced activity by forming linkage on active sites. It also needs a more complex chemistry [19,20].
The second is physisorption (physical adsorption) of the antibodies on the silica surface. These interactions are frequently exploited in biochemical assays (ELISA, antibody arrays, immune-sensors) because of their simplicity. Even if antibodies are randomly oriented and can lose their antigen binding abilities by denaturation, the passive adsorption often shows high antibody binding capacity. It is one of the main reasons why this functionalization is used for commercial assays [21]. The receptors can be conveniently adsorbed via intermolecular forces such as van der Waals, hydrophobic, electrostatic, hydrogen bonds, and their combinations [22].
The third functionalization is based on protein A/antibody affinity. Protein A is a well-known protein that targets the Fc region of antibodies. It helps to properly orient them for an optimum antigen binding. Immunoassays used with this configuration often show higher sensitivities, which is the main advantage of this method [23]. Unfortunately, this immobilization requires several biochemical steps that lengthen the sensor preparation and these affinity bonds are sometimes presented as less stable than simple covalent bonds [24].
In this work, we focus on the detection of cytokeratin protein because of its interest in lung cancer diagnosis. However, the functionalization remains open to any type of target, since the receptor immobilization is extremely flexible.
2. Materials and Methods
2.1. Materials
Phosphate Buffer Saline (PBS), (3-aminopropyl)trimethoxysilane 97% (APTMS) and sodium borohydride (NaBH4) were purchased from Sigma-Aldrich (Darmstadt, Germany). Anti-cytokeratin 17 antibodies (anti-CK17 ab), cytokeratin 7 (CK7) and cytokeratin 17 (CK17) full human proteins came from Abcam (Cambridge, UK). Bovine Serum Albumine (BSA) was purchased from Acros Organics (Geel, Belgium). All buffers were prepared freshly in deionized water and protein solutions were prepared in low-bind tubes in PBS at pH 7.4, and preserved at 4 °C until experiments.
2.2. Tilted Fiber Bragg Gratings Manufacturing
Telecommunication-grade optical fibers (SMF-28, 125 μm diameter, uncoated monomode silica optical fiber, Corning, New York, NY, USA) were used to connect each sensor. TFBGs were manufactured using a NORIA Laser (NorthLab Photonics, Nacka, Sweden) in photosensitive optical fiber (PS-1250, Fibercore, Southampton, UK). The grating manufacturing was performed using the deep ultraviolet pulsed excimer laser (Coherent Existar, XS 500 Hz-ArF at 193 nm) using the phase-mask technique to achieve 7° tilted gratings (uniform phase-mask with 5 mJ laser energy and 20.000 bursts at 50 Hz).
2.3. Optical Interrogation
All the experimental data (optical spectra) reported using bare-TFBGs were obtained in transmission, using a FiberSensing (Atlanta, GA, USA) 4CH interrogator. The optical fibers were immobilized on a fixed horizontal support and immersed successively in different liquid samples (from blank buffer to highest protein concentration).
2.4. Biosensor Surface Functionalization
Three different functionalization processes were used to immobilize our anti-CK17 antibodies on the silica surface. The common starting point of these processes is the thorough cleaning of the glass surface by immersing the fiber into a piranha solution made of H2SO4/H2O2 (4:1). Then, a silanization process is carried out to form a silane film on the surface, using immersion in (3-aminopropyl)trimethoxysilane (APTMS) 1% in methanol for 20 min at room temperature.
For the first method of direct covalent binding of antibodies (Figure 1A), silanized TFBGs were first immersed in a 2.5% glutaraldehyde solution for 2 h at room temperature. Then, they were rinsed and immersed in anti-CK17 antibodies solution at 20 µg/mL in PBS during 2 h. After rinsing, they were finally immersed into 7.9 × 10−3% NaBH4 solution. This protocol was adapted from [25].
For the electrostatic immobilization, silanized optical fibers were directly immersed into anti-CK17 (20 µg/mL in PBS) solutions during 2 h at room temperature (Figure 1B). After that, TFBGs were gently rinsed using PBS and dried at RT. Our protocol was adapted from [26] and [27].
Finally, the third process consists of using an intermediate protein (Protein A) at 100 µg/mL in PBS, directly immobilized on the silica surface (Figure 1C). The protocol was adapted from [22].
All these functionalization processes were then finalized using a 5% BSA in PBS as blocking step at RT during 1 h30.
2.5. Data Analysis
The interrogation of TFBGs was performed through a LabView (National Instruments, Austin, TX, USA) 7.0 script, with automatic data acquisition. Then, the biosensing responses were analyzed using OriginLab 9.0 software (OriginLab, Northampton, MA, USA) and MATLAB (MathWorks, Natick, MA, USA). All the biosensing data presented were recorded after 5 min of exposure to target solutions, to ensure sufficient target coupling to the surface.
3. Results and Discussion
3.1. Stability in Deionized Water and PBS
Bare-TFBGs, functionalized with anti-CK17 antibodies were immersed in solution for 16 h to test the stability of the signal for each biochemical strategy. Results show no significant variations of the biosensors responses, as illustrated in Figure 2.
3.2. Cytokeratin-17 Detection Experiments
The biosensitivity of our functionalized silica sensors was studied through laboratory tests using CK17 proteins in solution at increasing concentrations, from 10−12 g/mL up to 10−6 g/mL. The reference signal was recorded in PBS, which is also the buffer used for each CK17 dilution.
A first observation is that for all our experiments, the most sensitive mode coupling resonance of the monitored near-IR spectral comb is located at the cut-off value. Indeed, when the external refractive index reaches the value of the effective refractive index of a given cladding mode, this mode is no longer guided and the resonance becomes a leaky one (the wavelength boundary between guide and leaky modes is the «cut-off wavelength») [28,29]. Because of the proximity of the effective index of the guided mode to the surrounding material refractive index, the evanescent field of this mode has the deepest penetration outside the fiber surface and makes the corresponding resonance the most sensitive to protein interactions with the fiber surface, while the guided modes further away from the cut-off show lower and eventually no sensitivity with increasing distance from the cut-off (Figure 3a,b).
The amplitude shifts of the cut-off resonance were then monitored after a compensation of any core mode resonance (the “Bragg” resonance of the grating) variation (in amplitude or wavelength), based on the fact that this resonance is immune to events on the fiber surface while its sensitivity to power level and temperature changes is similar to that of the “biosensing” resonance [30]. The difference in amplitude between maxima and minima of the cut-off resonance for each condition was also performed to avoid any baseline variations and to calculate the biosensitivity.
As expected, results show that the absence of surface plasmon excitation significantly reduces the sensing responses, which implies that a rigorous control of the fiber with constant environmental parameters, such as temperature and humidity is required to avoid signal pertubations. Optical fiber gratings also must be fixed on a support to prevent any movements during experiments.
Results indicate that the three different functionalizations can be effective for biosensing, but present different features (Figure 3c). For instance, covalent bonding of antibodies show a detection limit of ~10−9 g/mL with a high amplitude shift between 10−10 and 10−9 g/mL, while the electrostatic adsorption shows a more interesting LOD with constant shifts between each tested concentration. Finally, the use of Protein A intermediates shows concentration-dependent signal responses but seems to be less stable, leading to higher measurements errors and thus lowering its reproducibility. The latter can be explained by the complexity of the surface assembly of molecules and the increased distance between the silica surface and the location where the interaction of the target with the immobilized antibodies occurs, which is the source of the decrease in sensitivity in that case.
We prefer not to perform a comparative analysis of the performances between bare and gold-coated TFBGs. While plasmonic enhancements improve both the sensitivity and the LOD [13], bare gratings remain more suited for applications where a downscaling of the LOD is not required or whenever stability issues may prevent the use of plasmonic probes.
3.3. CK17 Specificity
In this section, two other features of using bare-TFBG interrogation for biological detection are introduced. First, instead of using amplitude shifts of the resonance of the first cut-off mode, the resonance wavelength changes of all resonances in the vicinity of the cut-off, identified on the spectrum shown in Figure 4a (measured in PBS), are monitored. The rationale for that method is that the wavelengths of resonances approaching cut-off become increasingly sensitive to surrounding refractive index changes [31]. Second, the specificity of the detection of target proteins (CK17) relative to a closely related but different protein (CK7) is demonstrated using the wavelength shift method. Figure 4b shows how the wavelengths of the resonances identified in Figure 4a change from the reference spectrum in PBS after immersions for 10 min in a CK7 solution at 10−6 g/mL and then in a solution of 10−6 g/mL of CK17. The stability of the signal exposed to CK7 demonstrates the specificity of the sensor, a functional achievement obtained thanks to the surface-blocking step.
4. Conclusions
In this paper, we show our experimental results for the biodetection of cytokeratin-17 proteins using non-plasmon-assisted bare glass TFBGs. We demonstrate the feasibility of using non-metallic-coated surfaces for biodetection using the inherent increased sensitivity of the cladding modes located near the cut-off of the spectral comb, both in amplitude and wavelength. Furthermore, the functionalization process method chosen has a huge impact on the sensitivity of the sensor, with the electrostatic adsorption of antibodies seeming to be the fastest and the most effective grafting strategy. Covalent bonding shows larger modal shifts between 10−10 and 10−9 g/mL of CK17 in comparison to the progressive response for adsorbed antibodies. The use of intermediate linkers such as Protein A also shows concentration-dependent responses but with slightly lower modal shifts and higher measurements errors. This can be explained by the increasing distance between the target and the fiber surface due to the presence of the intermediate molecules, and the complexity of the functionalization process itself. The two other strategies show interesting features depending on the end-use application of the device. These findings could open the way to new biodetection strategies using optical fibers without the need to prepare high quality nanoscale metal coatings for SPR.
Author Contributions
R.W. and C.C. conceived and designed the experiments; M.L. performed the experiments; J.A. analyzed the data and contributed to the development of the analysis tool; M.L. and C.C. also wrote the paper.
Funding
This research was funded by the F.R.S-FNRS (Associate Researcher Grant of C. Caucheteur and FRIA grant of M. Loyez).
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Guo T., Gonzalez-Vila A., Loyez M., Caucheteur C. Plasmonic optical fiber-grating immunosensing: A review. Sensors. 2017;17:2732. doi: 10.3390/s17122732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Chiavaioli F., Baldini F., Tombelli S., Trono C., Giannetti A. Biosensing with optical fiber gratings. Nanophotonics. 2017;6:663–679. doi: 10.1515/nanoph-2016-0178. [DOI] [Google Scholar]
- 3.Shevchenko Y.Y., Albert J. Plasmon resonances in gold-coated tilted fiber Bragg gratings. Opt. Lett. 2017;32:111–213. doi: 10.1364/OL.32.000211. [DOI] [PubMed] [Google Scholar]
- 4.Daems D., Lu J., Delport F., Mariën N., Orbie L., Aernouts B., Adriaens I., Huybrechts T., Saeys W., Spasic D., et al. Competitive inhibition assay for the detection of progesterone in dairy milk using a fiber optic SPR biosensor. Anal. Chim. Acta. 2017;950:1–6. doi: 10.1016/j.aca.2016.11.005. [DOI] [PubMed] [Google Scholar]
- 5.Tu M.H., Sun T., Grattan K.T.V. Optimization of gold-nanoparticle-based fibre surface plasmon resonance (SPR)-based sensors. Sens. Actuator B Chem. 2012;164:43–53. doi: 10.1016/j.snb.2012.01.060. [DOI] [Google Scholar]
- 6.Springer T., Ermani M.L., Spackova B., Jablonku J., Homola J. Enhancing Sensitivity of Surface Plasmon Resonance Biosensors by Functionalized Gold Nanoparticles: Size Matters. Anal. Chem. 2014;86:10350–10356. doi: 10.1021/ac502637u. [DOI] [PubMed] [Google Scholar]
- 7.Suzuki H., Sugimoto M., Matsui Y., Kondoh J. Effects of gold film thickness on spectrum profile and sensitivity of a multimode-optical-fiber SPR sensor. Sens. Actuator B Chem. 2008;132:26–33. doi: 10.1016/j.snb.2008.01.003. [DOI] [Google Scholar]
- 8.Jia S., Bian C., Sun J., Tong J., Xia S. A wavelength-modulated localized surface plasmon resonance (LSPR) optical fiber sensor for sensitive detection of mercury(II) ion by gold nanoparticles-DNA conjugates. Biosens. Bioelectron. 2018;114:15–21. doi: 10.1016/j.bios.2018.05.004. [DOI] [PubMed] [Google Scholar]
- 9.Lee B., Park J.-H., Byun J.-Y., Kim J.-H., Kim M.-G. An optical fiber-based LSPR aptasensor for simple and rapid in-situ detection of ochratoxin A. Biosens. Bioelectron. 2018;102:504–509. doi: 10.1016/j.bios.2017.11.062. [DOI] [PubMed] [Google Scholar]
- 10.Libralato G., Galdiero E., Fanga A., Carotenuto R., de Alterris E., Guida M. Toxicity effects of gunctionalized quantum dots, gold and polystyrene nanoparticles on target aquatic biological models: A review. Molecules. 2017;22:1439. doi: 10.3390/molecules22091439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Justino C.I.L., Rocha-Santos T.A., Duarte A.C. Review of analytical figures of merit of sensors and biosensors in clinical applications. Trends Anal. Chem. 2010;29:1172–1183. doi: 10.1016/j.trac.2010.07.008. [DOI] [Google Scholar]
- 12.Chethana K., Guru Prasad A.S., Omkar S.N., Asokan S. Fiber Bragg grating sensor based device for simultaneous measurement of respiratory and cardiac activities. J. Biophotonics. 2017;10:278–285. doi: 10.1002/jbio.201500268. [DOI] [PubMed] [Google Scholar]
- 13.Ribaut C., Loyez M., Larrieu J.-C., Chevineau S., Lambert P., Remmelink M., Wattiez R., Caucheteur C. Cancer biomarker sensing using packaged plasmonic optical fiber gratings: Towards in vivo diagnosis. Biosens. Bioelectron. 2017;92:449–456. doi: 10.1016/j.bios.2016.10.081. [DOI] [PubMed] [Google Scholar]
- 14.Pilla P., Trono C., Baldini F., Chiavaioli F., Giordano M., Cusano A. Giant sensitivity of long period gratings in transition mode near the dispersion turning point: An integrated design approach. Opt. Lett. 2012;37:4152–4154. doi: 10.1364/OL.37.004152. [DOI] [PubMed] [Google Scholar]
- 15.Bandyopadhyay S., Biswas P., Chiavaioli F., Dey T.K., Basumallick N., Trono C., Giannetti A., Tombelli S., Baldini F., Bandyopadhyay S. Long-period fiber grating: A specific design for biosensing applications. Appl. Opt. 2017;56:9846–9853. doi: 10.1364/AO.56.009846. [DOI] [PubMed] [Google Scholar]
- 16.Maguis S., Laffont G., Ferdinand P., Carbonnier B., Kham K., Mekhalif T., Millot M.-C. Biofunctionalized tilted fiber Bragg gratings for label-free immunosensing. Opt. Express. 2008;16:19049–19062. doi: 10.1364/OE.16.019049. [DOI] [PubMed] [Google Scholar]
- 17.Liu Y., Yu J. Oriented immobilization of proteins on solid supports for use in biosensors and biochips: A review. Microchim. Acta. 2016;183:1–19. doi: 10.1007/s00604-015-1623-4. [DOI] [Google Scholar]
- 18.Williams R.A., Blanch H.W. Covalent immobilization of protein monolayers for biosensor applications. Biosens. Bioelectron. 1994;9:159–167. doi: 10.1016/0956-5663(94)80108-8. [DOI] [PubMed] [Google Scholar]
- 19.Rusmini F., Zhong Z., Feijen J. Protein immobilization strategies for protein biochips. Biomacromolecules. 2007;8:1775–1789. doi: 10.1021/bm061197b. [DOI] [PubMed] [Google Scholar]
- 20.Hermanson G.T. Bioconjugate Techniques. 3rd ed. Academic Press; San Diego, CA, USA: 2013. [Google Scholar]
- 21.Jung Y., Jeong J.Y., Chung B.H. Recent advances in immobilization methods of antibodies on solid supports. Analyst. 2008;133:697–701. doi: 10.1039/b800014j. [DOI] [PubMed] [Google Scholar]
- 22.Kim D., Herr A.E. Protein immobilization techniques for microfluidic assays. Biomicrofluidics. 2013;7:41501–41547. doi: 10.1063/1.4816934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chung J.W., Park J.M., Bernhardt R., Pyun J.C. Immunosensor with a controlled orientation of antibodies by using Neutravidin-Protein A complex at immunoaffinity layer. J. Biotechnol. 2006;126:325–333. doi: 10.1016/j.jbiotec.2006.05.010. [DOI] [PubMed] [Google Scholar]
- 24.Trilling A.K., Beelwilder J., Zuilof H. Antibody orientation on biosensor surfaces: A minireview. Analyst. 2013;138:1619–1627. doi: 10.1039/c2an36787d. [DOI] [PubMed] [Google Scholar]
- 25.Yoshioka M., Mukai Y. Immobilization of ultra-thin layer of monoclonal antibody on glass surface. J. Chromatogr. 1991;566:361–368. doi: 10.1016/0378-4347(91)80252-8. [DOI] [PubMed] [Google Scholar]
- 26.Sterzynska K., Budna J., Frydrych-Tomczak E., Hreczycho G., Malinska A., Maciejewski H., Zable M. Silane-modified surfaces in specific antibody-mediated cell recognition. Folia Histochem. Cytobiol. 2014;52:250–255. doi: 10.5603/FHC.2014.0029. [DOI] [PubMed] [Google Scholar]
- 27.Bremer M.G.E.G., Duval J., Norde W., Lyklema J. Electrostatic interactions between immunoglobulin (IgG) molecules and charged sobent. Colloids Surf. A. 2004;250:29–42. doi: 10.1016/j.colsurfa.2004.05.026. [DOI] [Google Scholar]
- 28.Albert J., Shao L.-Y., Caucheteur C. Tilted fiber Bragg grating sensors. Laser Photonics Rev. 2013;7:83–108. doi: 10.1002/lpor.201100039. [DOI] [Google Scholar]
- 29.Chan C.-F., Chen C., Jafari A., Laronche A., Thomson D.J., Albert J. Optical fiber refractometer using narrowband cladding-mode resonance shifts. Appl. Opt. 2007;46:1142–1149. doi: 10.1364/AO.46.001142. [DOI] [PubMed] [Google Scholar]
- 30.Rao Y.J. In-fibre Bragg grating sensors. Meas. Sci. Technol. 1997;8:355–375. doi: 10.1088/0957-0233/8/4/002. [DOI] [Google Scholar]
- 31.Lépinay S., Ianoul A., Albert J. Molecular imprinted polymer-coated optical fiber sensor for the identification of low molecular weight molecules. Talanta. 2014;128:401–407. doi: 10.1016/j.talanta.2014.04.037. [DOI] [PubMed] [Google Scholar]