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. Author manuscript; available in PMC: 2011 Jun 1.
Published in final edited form as: Analyst. 2010 Mar 31;135(6):1345–1350. doi: 10.1039/c0an00028k

Sensitive electrochemical immunosensor for matrix metalloproteinase-3 based on single-wall carbon nanotubes

Bernard S Munge a,, Jacqueline Fisher a, Lines N Millord a, Colleen E Krause a, Richard S Dowd a, James F Rusling b
PMCID: PMC2923849  NIHMSID: NIHMS215031  PMID: 20358056

Abstract

A novel electrochemical immunosensor for the detection of matrix metalloproteinase-3 (MMP-3), a cancer biomarker protein, based on vertically aligned single-wall carbon nanotube (SWCNT) arrays is presented. Detection was based on a sandwich immunoassay consisting of horseradish peroxidase (14–16 labels) conjugated to a secondary antibody and/or a polymer bead loaded with multi-enzyme labels. Performance was optimized by effective minimization of non-specific binding (NSB) events using Bovine serum albumin (BSA), Tween-20 and optimization of the primary antibody and secondary antibody concentrations. Results provided a detection limit of 0.4 ng mL−1 (7.7 pM) for the 14–16 label sensor protocol and 4 pg mL−1 (77 fM) using a multiply enzyme labeled polymeric bead amplification strategy in 10 μL of calf serum. This immunosensor based on SWCNT arrays offers great promise for a rapid, simple, cost-effective method for clinical screening of cancer biomarkers for point-of-care diagnosis.

Introduction

Developing sensitive, reliable, accurate, low cost methods for detection of cancer protein biomarkers in complex biological matrixes is a major challenge, but with high payoff of future devices for early cancer screening and point-of-care diagnosis.13 Such methods can also lead to a better understanding of the biochemistry of disease processes and in monitoring patient’s responses to therapy.4

Various methods have been developed for protein measurement, including enzyme-linked immunosorbent assay (ELISA),57 surface plasmon resonance (SPR),8,9 magnetic bead-based electrochemiluminescence (ECL),10 chemiluminescence,1114 fluorescence immunoassays,1517 mass spectrometry1820 and immuno-PCR.21 Other methods such as nanowire transistors have shown excellent sensitivity for proteins binding to antibodies.22,23 SPR, nanowire transistors, and impedance methods have enabled label free protein detection24 and ELISA and ECL analyzers have found applications in research and hospital labs. At levels of current development, none of these approaches meets all criteria for point-of-care disease screening via detection of protein biomarkers in clinically relevant samples, which will require methods with high sensitivity, speed, and accuracy at low cost with minimal technical training of users.

Recently, we demonstrated a sensitive electrochemical SWCNT forest immunosensor for the detection of human cancer biomarker, prostate specific antigen (PSA) in serum and tissue lysate.25,26 We used separate multiwall carbon nanotubes (MWCNTs) equipped with multiple enzyme labels and secondary antibodies to increase the number of enzyme labels per binding event for signal amplification. This approach provided a detection limit (DL) of 4 pg mL−1 for PSA in serum.25 Alternatively, gold nanoparticle, AuNP, immunosensors fabricated from 5 nm glutathione–AuNPs for PSA in serum obtained by using ~1 μm magnetic nanoparticle–Ab2–HRP bioconjugate with ~7500 HRPs per nanoparticle27 gave a DL of 0.5 pg mL−1 (20 fM) PSA. Multilabel and single label approaches were combined with a 4-unit electrochemical immunoarray of single-wall carbon nanotube forest sensors to simultaneously measure four prostate cancer biomarkers in cancer patient serum.28

In this paper, we report a novel immunosensor amplification strategy for electrochemical detection of matrix metalloproteinase-3 (MMP-3), a cancer biomarker protein in clinically relevant calf serum samples for the first time. The MMP family of zinc-dependent endopeptidases represents a class of proteins that facilitates host and tumor communication.29 Elevated expression of MMP-3 is associated with squamous cell carcinoma of the head and neck (SCCHN)30 and adrenal tumors31 and is a potential clinical tool for diagnosing and monitoring these diseases. Our protocol employs 500 nm diameter polymeric beads with multiple horseradish peroxidase (HRP) labels and secondary antibodies (Ab2) attached to produce a giant molecular tag loaded with ~4200 enzyme labels (Scheme 1A). This provides a large signal amplification compared to 14–16 labels32 per secondary antibody (Scheme 1B). This approach resulted in a detection limit of 4 pg mL−1 (77 fM) for MMP-3 in 10 μL undiluted calf serum.

Scheme 1.

Scheme 1

Illustration of detection principles of SWCNT immunosensors. On the bottom left is a tapping mode atomic force microscope image of a SWCNT forest that serves as the immunosensor platform. On the right is a cartoon of a SWCNT immunosensor platform used for capture antibody (Ab1) bioconjugation and subsequent antibody–antigen sandwich immunoassay (HRP is the enzyme label). Picture (A) on the right shows the immunosensor after treating with Ab2–Polybead–HRP to obtain amplification by providing numerous enzyme labels per binding event. Picture (B) on the right shows the immunosensor after treating with a conventional HRP–Ab2 (biotinylated Ab2 followed by streptavidin modified HRP) providing 14–16 labels per binding event. The final detection step involves immersing the immunosensor after secondary antibody attachment into a buffer containing mediator in an electrochemical cell, applying voltage, and injecting a small amount of hydrogen peroxide.

Experimental

Chemicals and materials

Horseradish peroxidase (HRP, Mw 44 000), lyophilized 99% bovine serum albumin (BSA), Tween-20 and 2,2′-azino-bis-(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) were from Sigma/Aldrich. Polyclonal (Goat) primary anti-Human Matrix Metalloproteinase-3 (MMP-3) antibody (Ab1), tracer secondary biotinylated anti-MMP-3 antibody (Ab2), streptavidin modified HRP, and human MMP-3 standard in calf serum were from R&D systems. Single-walled carbon nanotubes (HiPco) were obtained from Carbon Nanotechnologies, Inc. Polystyrene microspheres (0.51 μm diameter) surface modified with streptavidin were from Bangs Laboratories, Inc. Immunoreagents were dissolved in pH = 7.0 phosphate buffered saline (PBS) (0.01 M phosphate, 0.14 M NaCl, 2.7 mM KCl) unless otherwise noted. 1-(3-(Dimethylamino)propyl)-3-ethylcarbodiimide hydrochloride (EDC) and N-hydroxysulfosuccinimide (NHSS) were dissolved in water immediately before use.

Fabrication of SWCNT immunosensors

SWCNT forests were fabricated and characterized as reported previously.25,33 Briefly, purified, shortened, carboxyl-functionalized SWCNTs were dispersed in DMF, and aged at least one week. Ordinary basal plane pyrolytic graphite (PG) disks (A = 0.16 cm2) with a thin layer of Nafion and Fe(OH)x were immersed in the aged SWCNT dispersions to form vertical SWCNTs forests, which were then dried in vacuum for 18 h.

For attachment of primary antibody, 30 μL of freshly prepared 400 mM EDC and 100 mM NHSS in water were placed onto the SWCNT forest electrodes, and washed off after 10 min. This was immediately followed by 3 h incubation at 37 °C with 20 μL of 200 ng mL−1 Ab1 in pH 7.0 PBS buffer containing 0.1% Tween-20, a nonionic surfactant. The electrode was then washed with 0.1% Tween-20 and PBS buffer. The anti-MMP-3/SWNT electrode sensor constructed as described above was incubated for 1 h at 37 °C with 20 μL of 0.5% BSA + 0.1% Tween-20, followed by washing with 0.1% Tween-20 and PBS buffer for 3 minutes. Washing steps used here and during MMP-3 analysis were essential to block non-specific binding (NSB), and omission of any of the washing steps deteriorated sensitivity.

Preparation of the anti-MMP-3/HRP polystyrene bead bioconjugates

27 mg polystyrene beads coated with streptavidin (0.51 μm diameter) were put in a 1.5 mL centrifuge tube and washed twice with 100 μL pH = 7.0 PBS buffer by gentle shaking using an MCB 1200 biomagnetic processing platform for 1.0 min followed by ultra-centrifugation using a refrigerated Eppendorf centrifuge, 5417R at 13 000 rpm, 4 °C for 3.0 min. The supernatant was discarded and the resulting pellet redispersed in 36 μL pH = 7.0 PBS buffer by gentle vortexing using Cole-Parmer mixer, model 8891. In the homogeneous dispersion, biotinylated HRP and Ab2 (anti-MMP-3) were added to a final concentration of 5 mg mL−1 and 1 μg mL−1 respectively. This was followed by 30 min incubation with gentle mixing using the MCB 1200 platform. The Ab2–HRP coated polystyrene beads were then separated by ultra-centrifugation at 10 000 rpm, 4 °C for 3 min, the supernatant discarded and the resulting pellet redispersed and washed for 1 min using 200 μL pH = 7.0 PBS buffer containing 0.1% Tween-20. This step served to remove any free HRP and Ab2 and was repeated 4 times. 200 μL of 0.1% Tween-20/PBS buffer was added to the bioconjugate precipitate, vortexed to form a homogenous dispersion (Ab2–Polybead–HRP), stored at 4 °C, and then diluted in PBS/0.1% Tween-20 immediately before use. Bioconjugates were characterized by TEM and enzyme activity assays as described below.

Instrumentation

A CHI 660c electrochemical workstation was used for cyclic voltammetry and amperometry at ambient temperature (22 ±2 °C) in a three-electrode cell. Amperometry was done at −0.3 V vs. SCE with the SWCNT working electrode rotated at 2000 rpm, which gave optimum sensitivity. A Hitachi H-7000 TEM was used to characterize Ab2–HRP polystyrene bead bioconjugates.

Immunosensor detection of MMP-3

Optimized steps in the assay procedure were as follows:

  1. The immunosensor prepared as above was secured in an inverted position and incubated at 37 °C for 1 h 15 min with a 10 μL drop of serum containing MMP-3, followed by washing with 0.1% Tween-20 in buffer and then PBS buffer for 1.5 min each.

  2. Next, the inverted sensor was incubated with 10 μL of 200 ng mL−1 biotinylated anti-MMP-3 antibody (Ab2) in buffer containing 0.1% Tween-20 at 37 °C for 1 h 15 min, followed by incubation with 10 μL of streptavidin modified HRP or 10 μL of Ab2–HRP polystyrene bead bioconjugate (85 pmol mL−1 in HRP) in buffer containing 0.1% Tween-20 at 37 °C for 1 h 15 minutes, followed by washing in 0.1% Tween-20 and PBS buffer for 3 min.

  3. The immunosensor was then placed in an electrochemical cell containing 10 mL pH = 7.0 PBS buffer and 1 mM hydroquinone. Rotating disk amperometry at 2000 rpm was done at −0.3 V vs. SCE with injection of H2O2 to 0.4 mM to develop the amperometric signal.

Results

SWNT immunosensor using conventional Ab2–HRP

We first established the optimum conditions for fabrication of the SWCNT arrays. The SWNT forest construction was optimized with the aid of Raman spectroscopy (see Fig. S1) and Atomic Force Microscopy (AFM) (Scheme 1, inset). Raman spectra revealed high intensity bands corresponding to graphite (G) and defects (D) bands respectively. The D-bands typically observed between 1250 and 1450 cm−1, originate from the first order scattering by in-plane hetero-atom substituents, grain boundaries, vacancies or the other defects and by finite size defects of the SWCNTs.34 Fig. S1a shows peaks at 230 cm−1, characteristic of radial breathing mode (RBM) of SWCNT in the Nafion/Fe(OH)3/SWCNT assembly confirming successful assembly of the SWCNT arrays, while this peak is absent in Nafion/Fe(OH)3 (Fig. S1b). The pH of the FeCl3 solution plays a key role in the successful fabrication of SWCNT forests with the best SWCNT forest coverage, >98% at pH 1.7.26 Scheme 1 (inset) shows AFM images of a SWCNT forest on flat silicon that confirming vertical orientation of the nanotubes in bundles of 20–100 nm diameter at coverages of >98% in agreement with previous reports.25,33

We constructed our immunoassay on the SWCNT array platform and optimized the experimental conditions for the electrochemical detection of MMP-3 in undiluted calf serum, previously shown to behave similarly to human serum in immunoassays.25 The electrochemical detection follows a complex mechanism.27 Scheme 2 illustrates the hydroquinone mediated electrochemical detection. H2Q assists electron shuttling from the electrode to the oxidized HRP labels. In this catalytic mechanism, H2O2 oxidizes HRP to the ferryloxy radical form (eqn (2), Scheme 2) which is subsequently reduced to ferric HRP by H2Q (eqn (3), Scheme 2). Quinone (Q) reduction at the electrode surface provides the measured immunosensor current signal. Both Q and ferric-HRP are regenerated in the catalytic pathway.

Scheme 2.

Scheme 2

Postulated catalytic mechanism for mediated electrochemical detection of HRP labels.

Inhibition of non-specific binding (NSB) was critical to achieve the best sensitivity and detection limits. Effective NSB blocking was achieved utilizing bovine serum albumin (BSA) and Tween-20. We also optimized the concentration of the capture antibody anti-MMP-3 (Ab1) and the tracer secondary anti-MMP-3 anti-body (Ab2) (see Experimental section).

Optimization experiments were done using 4 ng mL−1 MMP-3. Parameters optimized included the, Ab2 diluents, washing strategies, concentration of BSA in the blocking step and concentrations of Ab1 and Ab2. These experiments were used to determine the most favorable conditions for the immunoassay. Initially, we used a PBS buffer solution containing 2% BSA + 0.05% Tween-20 as a diluent for the secondary antibody (Ab2). Although BSA is often used to reduce non-specific binding in immunoassays,35 research suggested that the presence of too much BSA in immunoassays might actually increase NSB.36 We found 2% BSA produced significantly higher NSB (Fig. S2A). Therefore, we opted to eliminate BSA from this step and use 0.1 M PBS + 0.05% T-20 as the diluent. The results produced a slightly greater difference between the controls and the samples (Fig. S2B) (using 4 ng mL−1 MMP-3 for optimization). We also found that NSB was highly dependent on the efficiency of the washing steps.

A previous study showed accurate and replicable results when using wash buffers with slightly higher concentrations of Tween-20, and a blocking step with slightly lower concentrations of BSA.37 We tested the effect of this in our immunoassay by switching from 0.05% T-20 in our wash buffer to 0.1% T-20. We also changed our BSA concentration in the blocking step from 2% BSA to 0.5% BSA. This combination of changes seemed to have a significant effect on reducing NSB as seen by the decrease in the value of the controls and the standard deviations. The washing procedure was manipulated once more. In the original procedure the wash steps were performed by placing the electrodes into individual test tubes of wash buffer and manually and vigorously shaking the rack. We switched to washing the electrodes in beakers containing our wash buffers and a magnetic stirrer with spin-bars (with each electrode in a separate beaker). This method gave the lowest controls and provided the optimum signal difference between the sample and control signals (see Fig. S2C).

The concentrations of the primary (capture) antibody, Ab1, and the secondary (tracer) antibody, Ab2, were optimized. For Ab1, this was achieved by varying the concentration used to link Ab1 to the sensor surface, then doing the complete immunoassay while keeping the MMP-3 and Ab2 concentrations at 4 ng mL−1 and 200 ng mL−1 respectively. At the same time, control experiments were done without antigen present (Fig. 1A). Our results showed the smallest NSB at lower concentrations of Ab1. In particular the largest difference between the control and sample signals occurred at 200 ng mL−1 Ab1 (Fig. 1A). Therefore, this was chosen as the optimum concentration of Ab1. The concentration of Ab2 was optimized in a similar manner, keeping the concentration of Ab1 constant at 200 ng mL−1 (optimum). This experiment showed controls lower than the sample at 200 ng mL−1 and 2000 ng mL−1 Ab2 concentration (Fig. 1B). We chose 200 ng mL−1 Ab2 as optimum concentration because it produced the largest signal difference coupled with lower controls. These optimal conditions of 200 ng mL−1 for Ab1 and Ab2 were used in procedures to detect various amounts of MMP-3 in calf serum. In the optimized procedure, immunosensors were first incubated for 1 h with 20 μL 0.5% BSA + 0.1% Tween-20, then washed with 0.1% Tween-20 in buffer. After attachment of Ab1, 10 μL of undiluted calf serum containing MMP-3 were incubated on the inverted sensor surface, blocking buffer was used to wash, then the sensor was incubated with 10 μL biotinylated secondary anti-MMP-3 followed with streptavidin–HRP label giving 14–16 labels per Ab2.32 The washed immunosensor was then placed into an electrochemical cell containing the mediator hydroquinone in buffer, and hydrogen peroxide was injected for signal development (Fig. 2A).

Fig. 1.

Fig. 1

Optimization of (A) the primary antibody, anti-MMP-3 (Ab1) and (B) the secondary antibody, anti-MMP-3 (Ab2) concentrations; (a) the complete immunoassay using 4.0 ng mL−1 MMP-3 concentration and (b) controls with 0 ng mL−1 MMP-3. In (A), the secondary antibody, Ab2 (tracer), concentration was kept fixed at 200 ng mL−1 in both the controls and the samples while in (B), the optimum Ab1 (200 ng mL−1) concentration was used to optimize Ab2 concentration.

Fig. 2.

Fig. 2

Amperometric response for SWCNT immunosensors incubated with MMP-3 (concentration in ng mL−1 labeled on curves) in 10 μL of undiluted newborn calf serum for 1.25 hours, then (A) followed by 10 μL of 200 ng mL−1 biotin–Ab2 in 0.1% Tween-20 for 1.25 h, then 10 μL of streptavidin modified HRP for 30 min, showing current at −0.3 V and 2000 rpm after placing electrodes in buffer containing 1 mM hydroquinone mediator, then injecting H2O2 to 0.4 mM to develop the signal. Controls shown on right with MMP-3 concentrations: full SWCNT immunosensor with 0 ng mL−1 MMP-3 and (B) influence of log MMP-3 concentration on steady state amperometric current for SWNT immunosensor using anti-MMP-3–HRP(14–16). Error bars in part B represent device-to-device standard deviations (n = 3).

The steady state current increased linearly (Fig. 2B) with log MMP-3 concentration from 0.4 to 40 ng mL−1 with a sensitivity of 77.6 nA/log [MMP-3]. Device-to-device reproducibility is illustrated by the small error bars with a relative standard deviation (RSD) of 9%. The detection limit of 0.4 ng mL−1 was estimated as the zero MMP-3 control signal plus three-times the control noise level (Fig. 2A). Results indicate that using BSA and optimum detergent concentration for NSB blocking, washing procedure and optimizing the concentration of Ab1 and Ab2 are very effective to minimize NSB in serum. Control experiment in Fig. 2A represents a SWCNT immunosensor taken through the full procedure without exposure to MMP-3, and the response reflects the sum of residual NSB and direct reduction of hydrogen peroxide.

Ab2–HRP polymeric beads bioconjugates

Multiple HRP labels were attached to polystyrene (0.51 μm) microsphere beads for multilabel amplification21,38,39 to enhance sensitivity. Our approach was to link HRP and Ab2 to streptavidin coated polystyrene microspheres with a reaction mixture having a 200/1 HRP/Ab2 molar ratio. The mutilabel particles were used in place of the conventional Ab2–HRP(14–16) complex.

Ab2 and HRP were simultaneously attached to the polystyrene microspheres by the streptavidin–biotin interaction, one of the binding interactions in nature (Ka = 1015 M−1 vs. 107–1011 M−1 for antibody–antigen interactions).40

Transmission electron microscopy (TEM) images show the derivatized polymeric beads with fuzzy features (Fig. S3B) when compared to the underivatized beads (Fig. S3A) suggesting successful immobilization of HRP. To determine the amount of active HRP per unit weight of microsphere, the Ab2–Polybead–HRP dispersion was reacted with HRP substrate 2,2′-azino-bis-(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS)41 and H2O2. The reaction produces a soluble product with characteristic optical absorbance at 405 nm. A linear increase in absorbance of the product at 405 nm (Fig. 3) was found, and the slope was used to estimate42 an HRP activity of 92 Units mL−1 of undiluted Ab2–Polybead–HRP. This was compared to a standard curve constructed with underivatized HRP, after subtracting the background absorbance of an equivalent dispersion of underivatized polymer beads.

Fig. 3.

Fig. 3

Results of enzyme activity assay of HRP–Polybead–Ab2 bioconjugate activated by H2O2 with ABTS as substrate to give colored product with absorbance at 405 nm.

The concentration of active HRP in the stock Ab2–Polybead–HRP dispersion was determined in this way to be 3.77 μg mL−1. Considering 27 mg of microspheres used to prepare the Ab2–Polybead–HRP conjugate, we had 0.9 pmol HRP per mg beads or 85 pmol HRP mL−1 of dispersion. Using the manufacturer’s specifications for the microspheres with 0.51 μm diameters and a density of 1.359 × 1011 microspheres per mL, the number of active HRP was estimated as 4168 per microsphere.

Similar NSB blocking protocols as summarized for Ab2–HRP were followed when using the Ab2–Polybead–HRP bioconjugate (Scheme 1A) to measure response of the SWCNT immunosensor to MMP-3. Optimization of bioconjugate concentration, a major factor in minimizing NSB, was done by evaluating the performance of dilutions of the stock Ab2–Polybead–HRP using 0.1% Tween-20. 85 pmol HRP mL−1 gave the best detection limit. BSA was not used in the dilution as it was found to deteriorate the detection limit.

Fig. 4A shows the amperometric detection of MMP-3 in undiluted calf serum using the Ab2–HRP–polymeric bead conjugate with the SWCNT immunosensors. Signal intensity was greatly increased for this amplified system compared to the conventional Ab2–HRP (cf. Fig. 2A). The Ab2–Polybead–HRP gave a linear calibration curve for log MMP-3 concentration in calf serum from 4–300 pg mL−1. Device-to-device reproducibility is illustrated by the small error bars with a relative standard deviation (RSD) of 10%. Sensitivity as the slope of the calibration graph (Fig. 4B) at low concentration range was 4250 nA/log [MMP-3]. These results show 55-fold higher sensitivity for multilabel Ab2–Polybead–HRP than Ab2–HRP(14–16), with an estimated detection limit of 4 pg mL−1 based on 3 times the average noise above the zero MMP-3 control in a 10 μL sample. This detection limit is similar to our recent results for PSA detection using an Ab2–CNT–HRP bioconjugate25 for signal amplification. However, the polymeric beads amplification strategy offers over 65-fold higher sensitivity.

Fig. 4.

Fig. 4

Amperometric response for SWCNT immunosensors incubated with MMP-3 (concentration in pg mL−1 labeled on curves) in 10 μL of undiluted newborn calf serum for 1.25 h: (A) current at −0.3 V and 2000 rpm using the Ab2–HRP polymeric beads bioconjugate. Controls shown on left with MMP-3 concentrations: full SWCNT immunosensor with 0 pg mL−1 MMP-3. (B) Influence of log MMP-3 concentration on steady state current for immunosensor using Ab2–Polybead–HRP bioconjugate. Error bars in part B represent device-to-device standard deviations (n = 3).

Discussion

Results described above show that SWCNT immunosensors can be used to detect MMP-3 cancer biomarkers in complex biological samples with high sensitivity and selectivity (Fig. 2 and 4). Further, the immunosensors have a very good reproducibility as demonstrated by device-to-device standard deviations. The best sensitivity is obtained using the Ab2–Polybead–HRP bioconjugates with high enzyme label/Ab2 ratios for signal amplification. The success of this novel signal amplification strategy also depends on minimizing the nonspecific binding (NSB) of the secondary antibody material, which commonly controls the detection limit of sandwich immunoassays.43,44 NSB was effectively controlled by using BSA and Tween-20 in blocking buffers at optimized concentrations, providing an estimated sensitivity to MMP-3 at concentrations as low as 4 pg mL−1 in only 10 μL of undiluted calf serum (Fig. 4). This DL is lower than normal serum MMP-3 levels for patients with cancer. For example, patients with adrenal cortex carcinoma had a mean value of 127 ng mL−1 compared to 16 ng mL−1 in control group.31

The high sensitivity of the SWCNT immunosensors using the Ab2–Polybead–HRP bioconjugates is correlated to several factors including (a) several thousands of labels per binding event provided by using Ab2–Polybead–HRP bioconjugates in place of conventional Ab2–HRP; (b) SWCNT forest properties including excellent conductivity and high surface area that provide a high density of primary antibodies, and (c) the catalytic nature of the enzyme label, in which HRP is activated by hydrogen peroxide to a ferryloxy form of the enzyme that is electrochemically reduced in a catalytic cycle.45

These results suggest an excellent potential for array fabrication leading to real time multiplexed cancer biomarker detection, an exciting possibility for early cancer detection and monitoring that we are currently exploring. Immobilization of electroactive enzyme labels at the sensing element is a viable approach for sensor array fabrication as it minimizes electrochemical crosstalk between array elements, while enzymes producing a soluble electroactive product place specific restrictions on array design.46,47

Conclusions

We have demonstrated highly sensitive and selective SWCNT electrochemical sensor for the detection of MMP-3, an emerging cancer biomarker protein, in calf serum as a clinically related medium. A multilabeled polymeric bead amplification strategy gave a ultralow detection limit of 4 pg mL−1 (77 amol mL−1) in the 10 μL serum sample which is comparable to carbon nanotube amplification for PSA detection,25 with over 65-fold better sensitivity compared to a single labeled Ab2. SWCNT immunosensors in conjunction with multilabel amplification show great potential as components in future cancer diagnostics.

Supplementary Material

Suplementary Information file

Acknowledgments

This research was financially supported by Grant number P20RR016457 awarded to BSM by the National Center for Research Resource (NCRR) a component of NIH and in part by US PHS grant ES013557 awarded to JFR from National Institutes of Environmental Health Sciences of NIH. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NCRR or NIH.

Footnotes

Electronic supplementary information (ESI) available: immunosensor characterization and optimization. See DOI: 10.1039/c0an00028k

References

  • 1.Kitano H. Science. 2002;295:1662. doi: 10.1126/science.1069492. [DOI] [PubMed] [Google Scholar]
  • 2.Figeys D. Anal Chem. 2003;75:2891. doi: 10.1021/ac030142m. [DOI] [PubMed] [Google Scholar]
  • 3.Hood E. Environ Health Perspect. 2003;111:A817. doi: 10.1289/ehp.111-a692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Xiao Z, Prieto D, Conrads TP, Veenstra TD, Isaaq HJ. Mol Cell Endocrinol. 2005;230:95–106. doi: 10.1016/j.mce.2004.10.010. [DOI] [PubMed] [Google Scholar]
  • 5.Yates AM, Elvin SJ, Williamson DE. J Immunoassay. 1999;20:31. doi: 10.1080/01971529909349312. [DOI] [PubMed] [Google Scholar]
  • 6.Christiansen M, Hogdall CK, Anderson JR, Norgaard-Perdersen B. Scand J Clin Lab Invest. 2001;61:205. doi: 10.1080/003655101300133649. [DOI] [PubMed] [Google Scholar]
  • 7.Ju HX, Yan G, Chen F, Chen HY. Electroanalysis (N Y) 1999;11:124. [Google Scholar]
  • 8.Yu F, Persson B, Lofas S, Knoll W. Anal Chem. 2004;76:6765. doi: 10.1021/ac048937w. [DOI] [PubMed] [Google Scholar]
  • 9.Lee HJ, Wark AW, Corn RM. Analyst. 2008;133:975. doi: 10.1039/b717527b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Debad JB, Glezer EN, Leland JK, Sigal GB, Wholstadter J. In: Electrogenerated Chemiluminescence. Bard AJ, editor. Marcel Dekker; NY: 2004. p. 359. [Google Scholar]
  • 11.Lin J, Yan F, Ju HX. Appl Biochem Biotechnol. 2004;117:93. doi: 10.1385/abab:117:2:093. [DOI] [PubMed] [Google Scholar]
  • 12.Fu Z, Hao C, Fei X, Ju HX. J Immunol Methods. 2006;312:61. doi: 10.1016/j.jim.2006.02.006. [DOI] [PubMed] [Google Scholar]
  • 13.Zhang Q, Wang X, Li Z, Lin J. Anal Chim Acta. 2009;631:212. doi: 10.1016/j.aca.2008.10.042. [DOI] [PubMed] [Google Scholar]
  • 14.Zheng Y, Chen H, Liu X, Jiang J, Luo Y, Shen G, Yu R. Talanta. 2008;77:809. [Google Scholar]
  • 15.Cui R, Pan H, Zhu J, Chen H. Anal Chem. 2007;79:8494. doi: 10.1021/ac070923d. [DOI] [PubMed] [Google Scholar]
  • 16.Matsuya T, Tashiro S, Hoshino N, Shibata N, Nagasaki Y, Kataoka K. Anal Chem. 2003;75:6124. doi: 10.1021/ac034346e. [DOI] [PubMed] [Google Scholar]
  • 17.Song SP, Li B, Hu J, Li MQ. Anal Chim Acta. 2004;510:147. [Google Scholar]
  • 18.Ishii A, Seno H, Watabe-Suzuki K, Kumazawa T, Matsushima H, Suzuki O, Katsumata Y. Anal Chem. 2000;72:404. doi: 10.1021/ac990765t. [DOI] [PubMed] [Google Scholar]
  • 19.Niederkofler EE, Tubbs KA, Gruber K, Nedelkov D, Kiernan UA, Williams P, Nelson RW. Anal Chem. 2001;73:3294. doi: 10.1021/ac010143j. [DOI] [PubMed] [Google Scholar]
  • 20.Hu SH, Zhang SC, Hu ZC, Xing Z, Zhang XR. Anal Chem. 2007;79:923. doi: 10.1021/ac061269p. [DOI] [PubMed] [Google Scholar]
  • 21.Saito K, Kobayashi D, Sasaki M, Araake H, Kida T, Yagihashi A, Yajima T, Kameshima H, Wanatabe N. Clin Chem (Washington, D C) 1999;45:665. [PubMed] [Google Scholar]
  • 22.(a) Patolsky F, Zheng G, Lieber CM. Anal Chem. 2006;78:4260. doi: 10.1021/ac069419j. [DOI] [PubMed] [Google Scholar]; (b) Zhang H, Zhao Q, Li XF, Le XC. Analyst. 2007;132:724. doi: 10.1039/b704256f. [DOI] [PubMed] [Google Scholar]
  • 23.Kim S, Rusling JF, Papadimitrakopolous F. Adv Mater. 2007;19:3214. doi: 10.1002/adma.200700665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tkac J, Davis JJ. Label-free field effect protein sensing. In: Davis JJ, editor. Engineering the Bioelectronic Interface. Royal Soc. Chem; UK: 2009. pp. 193–224. [Google Scholar]
  • 25.Yu X, Munge B, Patel V, Jensen G, Bhirde A, Gong JD, Kim SN, Gillespie J, Gutkind JS, Papadimitrakopoulos F, Rusling JF. J Am Chem Soc. 2006;128:11199. doi: 10.1021/ja062117e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Rusling JF, Yu X, Munge BS, Kim SN, Papadimitrakopoulos F. In: Engineering the Bioelectronic Interface. Davis JJ, editor. Royal Soc. Chem; UK: 2009. pp. 94–118. [Google Scholar]
  • 27.Kim S-N, Rusling JF, Papadimitrakopolous F. Carbon nanotubes in electronic and electrochemical detection of biomolecules. Adv Mater. 2007;19:3214. doi: 10.1002/adma.200700665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chikkaveeriah BV, Bhirde A, Malhotra R, Patel V, Gutkind JS, Rusling JF. Anal Chem. 2009;81:9129. doi: 10.1021/ac9018022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McCawley LJ, Crawford HC, King LE, Jr, Mudgett J, Matrisian LM. Cancer Res. 2004;64:6965. doi: 10.1158/0008-5472.CAN-04-0910. [DOI] [PubMed] [Google Scholar]
  • 30.Linkov F, Lisovich A, Yurkovetsky Z, Marrangoni A, Velikokhatnaya L, Nolen B, Winans M, Bigbee W, Siegfried J, Lokshin A, Ferris RL. Cancer Epidemiol Biomarkers Prev. 2007;16:102. doi: 10.1158/1055-9965.EPI-06-0602. [DOI] [PubMed] [Google Scholar]
  • 31.Kolomecki K, Stepien H, Bartos M, Kuszak K. Endocr Regul. 2001;35:9. [PubMed] [Google Scholar]
  • 32.Munge BS, Krause CE, Malhotra R, Patel V, Gutkind JS, Rusling JF. Electrochem Commun. 2009;11:1009. doi: 10.1016/j.elecom.2009.02.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chattopadhyay D, Galeska I, Papadimitrakopoulos F. J Am Chem Soc. 2001;123:9451. doi: 10.1021/ja0160243. [DOI] [PubMed] [Google Scholar]
  • 34.Eklund PC. Adv Phys. 2000;49:705. [Google Scholar]
  • 35.Veetil JV, Ye K. Biotechnol Prog. 2007;23:517. doi: 10.1021/bp0602395. [DOI] [PubMed] [Google Scholar]
  • 36.Brogan KL, Shin JH, Schoenfisch MH. Langmuir. 2004;20:9729. doi: 10.1021/la048437y. [DOI] [PubMed] [Google Scholar]
  • 37.Wang J, Liu G, Engelhard MH, Lin Y. Anal Chem. 2006;78:6974. doi: 10.1021/ac060809f. [DOI] [PubMed] [Google Scholar]
  • 38.Wang J. Small. 2005;1:1036. [Google Scholar]
  • 39.Munge B, Liu G, Collins G, Wang J. Anal Chem. 2005;77:4662. doi: 10.1021/ac050132g. [DOI] [PubMed] [Google Scholar]
  • 40.Hoshi T, Anzai J, Osa T. Anal Chem. 1995;64:770. doi: 10.1021/ac00100a013. [DOI] [PubMed] [Google Scholar]
  • 41.Matsuda H, Tanaka H, Blas BL, Nosenas JS, Tokawa T, Ohsawa S. Jpn J Exp Med. 1984;54:131. [PubMed] [Google Scholar]
  • 42.Jensen GC, Yu X, Gong JD, Munge B, Bhirde A, Kim SN, Papadimitrakopoulos F, Rusling JF. J Nanosci Nanotechnol. 2009;9:249. doi: 10.1166/jnn.2008.J016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wilson DS, Nock S. Angew Chem, Int Ed. 2003;42:494. doi: 10.1002/anie.200390150. [DOI] [PubMed] [Google Scholar]
  • 44.Ward AM, Catto JWF, Hamdy FC. Ann Clin Biochem. 2001;38:633. doi: 10.1258/0004563011901055. [DOI] [PubMed] [Google Scholar]
  • 45.Ruzgas T, Lindgren A, Gorton L, Hecht H-J, Reichelt J, Bilitewski U. In: Electroanalytical Methods for Biological Materials. Chambers JQ, Bratjer-Toth A, editors. Marcel Dekker; New York: 2002. p. 233. [Google Scholar]
  • 46.Kojima K, Hiratsuka A, Suzuki H, Yano K, Ikebukuro K, Karube I. Anal Chem. 2003;75:1116. doi: 10.1021/ac0257391. [DOI] [PubMed] [Google Scholar]
  • 47.Wilson MS. Anal Chem. 2005;77:1496. doi: 10.1021/ac0485278. [DOI] [PubMed] [Google Scholar]

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