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Article

Label-Free Electrochemical Detection of S. mutans Exploiting Commercially Fabricated Printed Circuit Board Sensing Electrodes

1
Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), Department of Electronic & Electrical Engineering, University of Bath, Bath BA2 7AY, UK
2
School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
3
Biosciences and Bioengineering Department, Indian Institute of Technology Bombay, Powai 400076, India
*
Authors to whom correspondence should be addressed.
Micromachines 2019, 10(9), 575; https://doi.org/10.3390/mi10090575
Submission received: 23 May 2019 / Revised: 4 July 2019 / Accepted: 15 July 2019 / Published: 30 August 2019
(This article belongs to the Special Issue Microfluidics on Printed Circuit Boards)

Abstract

:
This paper reports for the first time printed-circuit-board (PCB)-based label-free electrochemical detection of bacteria. The demonstrated immunosensor was implemented on a PCB sensing platform which was designed and fabricated in a standard PCB manufacturing facility. Bacteria were directly captured on the PCB sensing surface using a specific, pre-immobilized antibody. Electrochemical impedance spectra (EIS) were recorded and used to extract the charge transfer resistance (Rct) value for the different bacteria concentrations under investigation. As a proof-of-concept, Streptococcus mutans (S. mutans) bacteria were quantified in a phosphate buffered saline (PBS) buffer, achieving a limit of detection of 103 CFU/mL. Therefore, the proposed biosensor is an attractive candidate for the development of a simple and robust point-of-care diagnostic platform for bacteria identification, exhibiting good sensitivity, high selectivity, and excellent reproducibility.

1. Introduction

Bacteria comprise a ubiquitous type of microorganism, involved in numerous clinical, environmental, and industrial phenomena; indicative examples include infectious diseases, food and water safety, and insulin synthesis [1]. In all of the applications of this vast spectrum, there is the need to identify and quantify the presence of the bacteria with high sensitivity and specificity, ideally in real-time. The detection (i.e., quantification range, limit of detection) and usability (i.e., time to result, cost) requirements for each case vary, but nonetheless underpin in a similar manner all of them. For this reason, a multitude of research groups around the world have been proposing various bacterial detection technologies as alternatives to laborious standard protocols such as bacterial culture. For example, matrix-assisted laser desorption/ionization- time-of-flight MALDI-TOF mass spectrometry of culture supernatants, nucleic acid based methods (i.e., fluorescence in situ hybridization, DNA microarrays, real-time polymerase chain reaction (PCR). In all of the aforementioned cases though, the assay completion is laborious, requiring several sample preparation steps in order to achieve efficient quantification. Optical quantification methods, such as surface plasmon resonance imaging (SPRi) have also been reported, showing promising limits of detection in liquid culture media, but has also yet to be demonstrated in bacterial multiplication-free systems [2].
The importance of a minimal sample pre-processing, label-free detection system of high sensitivity becomes even more evident when we consider the incorporation of such systems in miniaturized, portable devices. The scientific and commercial consensus agrees that the future will be dominated by biosensors incorporated in such laboratory-on-a-chip (LoC) devices, offering the unique advantages of rapid reaction times, portability, high throughput, and automation. The bacterial biosensor is the heart of such systems, constructing the remaining parts around its requirements; the less laborious the detection protocol the more likely it is to have a cost-effective and practical device. To this end, electrochemical detection of whole bacteria [3], seem to be the ideal implementation to meet these requirements; they provide accurate quantification of the bacteria in the form of an electrical signal, require no cell culture, cell lysis, or DNA purification steps, have minimal and low power instrumentation requirements, and are easily miniaturized and integrated with sample handling microfluidic structures. A typical technology enabling the seamless integration of electrochemical biosensors and microfluidics is lab-on-PCB (Printed-Circuit-Board) technology [4]. Nonetheless, no lab-on-PCB system has been demonstrated so far featuring label-free electrochemical detection of whole bacteria. Hence, this is the scope of this work, demonstrating the first such PCB-based sensor, with S. mutans as an initial case study bacterium target.
Oral health is a major global crisis that cuts into government budgets across developed, developing, and underdeveloped communities [5,6]. The global burden of oral diseases remains very high with dental caries, periodontitis, and tooth loss being among the most common. Studies have shown that more than half of the world population has experienced dental caries and 90% of the disease goes undiagnosed [7]. This is largely due to the little attention that has been given to oral health; as a result, the large spectrum of diseases associated with it continue to pose major threats to human existence. This is evident by a recent (2018) United Nations (UN) General Assembly meeting that aimed to discuss the impact of non-communicable diseases but failed to make any mention of oral health [8]. Sadly though, oral health has been proven to share common risk factors and pathways with other non-communicable diseases. The majority of dental caries patients are the elderly and children under fifteen, with children from underprivileged backgrounds more likely to experience the disease than their counterparts from more privileged ones [9,10]. Dental caries is a multifactorial microbial disease that includes demineralization of tooth enamel, leading to cavity formation and sometimes tooth loss [11].
The healthy human oral cavity is made up of a complex microbiota of bacterial species that are necessary for the microbial balance in the gut and hence useful for its normal functioning. It is estimated that the number of micro-organisms in the gut ranges between 600–1200 species with the majority of these being commensal micro-organisms. The current paradigm implicates S. mutans as the initiator of the disease process with lactobacillus as the key player in its progression [12]. While it is unclear when and how S. mutans plays a role in the disease progression, many reports have implicated the species and hence have led to it being referred to as the “arch criminal of dental caries”. This is further supported by the many investigations that found S. mutans in biofilms of caries patients, mostly children under the age of twelve. While S. mutans is not a major component of the oral microbiota of normal individuals, it is able to initiate a bacterial succession under certain conditions leading to the replacement of commensal bacteria with more aggressive and virulent species. The characteristics of the species that enable it to dominate and initiate dental caries include the ability to: (i) survive under very acidic conditions in the mouth; (ii) the ability to store and utilise excess sugars; and (iii) store excess sugars and later use them [13].
In this work we have used commercially fabricated PCB board sensors and characterized systematically their electrochemical performance. We have also characterized the primary antibody for the selective antigen detection in a 96-well plate using the enzyme-linked immunosorbent assay (ELISA) method, and finally immobilized the thiolated-primary antibody on the PCB sensing surface followed by the concertation dependent antibody-antigen interactions and measurement of their subsequent impedance detection signal. For proof of principle, S. mutans was measured in buffer samples which could be detected down to 103 CFU/mL. Several groups have demonstrated S. mutans detection using different biosensing methods [14,15,16,17,18,19,20]. While capable of rapid measurements, these sensors require complicated detection protocols which may not be ideally suited for point-of-care diagnosis. Here we report for the first time a PCB implemented label-free electrochemical S. mutans detection platform using a very simple detection protocol. Streptococcus mutans was detected on the PCB sensing surface using a specific antibody which was pre-immobilized on the PCB. Electrochemical impedance spectrometry (EIS) was used to record the charge transfer resistance (Rct) value with different S. mutans concentrations.

2. Experimental Methods

2.1. Materials

Acetone, ethanol, ammonium hydroxide (NH4OH), hydrogen peroxide (H2O2), dimethyl sulfoxide (DMSO), potassium ferrocyanide (K4Fe(CN)6), potassium ferricyanide (K3Fe(CN)6), TMB (3,3’,5,5’-tetramethylbenzidine), and TMB stop solution were purchased from Sigma-Aldrich (Gillingham, UK). Streptococcus mutans strain MTCC890 was purchased from Microbial Type Culture Collection and Gene Bank (MTCC), Chandigarh, India. Escherichia coli (MG1655) was purchased from E. Coli Genetic Stock Center (Yale University, New Haven, CT, USA). Luria broth and the agar base were purchased from Himedia Labs (Bangalore, India). Primary anti-Streptococcus mutans antibody (ab31181) and goat anti-rabbit IgG H&L (HRP-ab205718) secondary antibody were purchased from Abcam (Cambridge, MA, USA). TYCSB (tryptone yeast extract cystine without sucrose and without bacitracin agar base) and Dulbecco’s phosphate buffered saline (PBS) were purchased from Himedia, India. The wash buffer was made up of 0.01 mol/L PBS (pH 7.4) mixed with 0.05% Tween-20. The blocking buffer was made up of 0.01 mol/L PBS (pH 7.4) mixed with 1% bovine serum albumin (BSA). USA. All other reagents were of analytical grade, and all aqueous solutions were prepared using 18.2 MΩ ultra-pure Milli-Q water.

2.2. Preparation of Bacterial Cultures

Brain heart infusion (BHI) broth was prepared by dissolving 3.7 g of the BHI base in 100 mL of distilled water. BHI plates were prepared by dissolving 5.2 g of the BHI agar in 100 mL distilled water. Luria broth was prepared by dissolving 2 g of Luria broth base in 100 mL of distilled water. Luria agar (LA) plates were prepared by 3.5 g of the LA powder to 100 mL of distilled water.
To prepare Streptococcus mutans cultures, 10 µL of the revived MTCC890 strain were first plated on BHI agar plates and allowed to grow overnight at 37 °C. From these plates, overnight liquid cultures were set up in fresh BHI broth. It was further diluted 400 times and incubated at 37 °C and 237 rpm for 48 h. 3 mL of the liquid culture was centrifuged at 15,000 rpm for 10 min to obtain a bacterial pellet. The pellet was washed thrice with warm 1X PBS (pH 7.4). The final washed pellet was diluted in 2 mL of 0.01 mol/L PBS (pH 7.4) and used for ELISA experiments. For the electrochemical detection, 6 mL of the primary culture was centrifuged and washed three times as previously described. The washed pellet was then diluted with 1 mL of 0.01 mol/L PBS (pH 7.4). We then serially diluted this bacterial suspension to prepare different concentrations of bacteria.
To determine the specificity of our sensor to S. mutans, we used E. coli (MG1655) as a negative control. We plated 10 µL of the revived E. coli on LA plates and incubated them overnight at 37 °C. From these plates, an overnight culture was set up. From the overnight culture, a concentration of 1010 CFU/mL was prepared in 2 mL of 0.01 mol/L PBS (pH 7.4). A high concentration of E. coli was chosen to test the binding specificity of the prepared electrodes.

2.3. Thiolation of Anti-Streptococcus mutans Primary Antibody

The specificity of the anti-Streptococcus mutans polyclonal antibody was determined by indirect ELISA, as described in the supplementary material. The primary antibody was thiolated (-SH) as previously reported with minor modifications [21,22]. Briefly, 1 mL of 100 µg/mL anti-Streptococcus mutans IgG was incubated in a solution of Traut’s reagent in PBS containing 2 mM EDTA for 1 h at room temperature with gentle agitation. A 10-fold molar excess of Traut’s reagent per mol antibody was used to ensure full thiolation to the lysine side chains of IgG. Excess (unconjugated) Traut’s reagent was removed by centrifugation for 30 min at 10,000 rpm. Thiolated anti-Streptococcus mutans IgG was dissolved in 1 mL PBS (pH 7.4) and used immediately for sensor immobilization.

2.4. Design of Printed Circuit Board Sensing Electrodes for S. Mutans Detection

The sensing electrodes were designed in PCB CAD software (version 17.1.9, Altium®) and commercially fabricated in a standard PCB manufacturing facility (Lyncolec Ltd, Poole, UK). The copper electrodes were electroplated with a hard-gold finish in order to exploit the pore-free deposition and low contact resistance achieved by this technique [23]. The gold-plated electrodes were exploited as working, counter, and reference electrodes and connected to a pocketstat (Ivium, Netherland) to record the signals.

2.5. Sensor Fabrication

The gold-plated PCB electrodes were cleaned prior to anti-Streptococcus mutans IgG immobilization by ultrasonication in acetone, ethanol, and water, respectively for 15 min followed by 30 min ultrasonication in a solution containing 5:1:1 water, ammonium hydroxide (20%), and hydrogen peroxide (30%) [24,25]. Immobilization of the anti-Streptococcus mutans IgG to the working electrode was carried out by incubating 10 µg/mL of thiolated anti-Streptococcus mutans IgG solution for 1 h at room temperature, followed by thorough rinsing with PBS, and drying with purified N2 gas. A volume of 5 μL of the thiolated antibody was employed for spotting it on the surface via manual drop casting on the working electrode surface, assuring all liquid was in contact with the surfaces of the other two electrodes. To minimize nonspecific binding and enhance the stability of the immobilized antibody, 1% bovine serum albumin (BSA) dissolved in PBS solution was incubated on the antibody-immobilized electrode for 30 min at room temperature, followed by rinsing twice with PBS and drying with purified N2 gas. The prepared electrodes were stored at 4 °C [26,27,28,29].

2.6. Experimental Setup and Electrochemical Measurements

Cultures of S. mutans bacteria were serially diluted in PBS to obtain different concentrations, which were subsequently used for EIS measurements without any further processing. 50 µL of bacteria spiked in PBS was dispensed onto the sensor and incubated for 30 min at 4 °C, followed by thorough rinsing with PBS and drying with purified N2 gas. EIS measurements were performed immediately after bacteria incubation using a Helios electrochemical potentiostat (Ivium pocketstat, Netherlands), connecting the three PCB sensing electrodes through wires and a commercial Peripheral Component Interconnect (PCI) express connector. A micromachined Teflon tape was adhered on the board around the sensing area, in order to separate one electrochemical cell on the PCB from another, and locally confine the reagents. The impedance spectra were recorded using gold as counter and pseudo-reference electrodes at an open circuit potential (OCP) in the frequency range of 100 kHz to 0.5 Hz, with a 60 mV amplitude in 50 µL of 100 mM PBS (pH 7.4) containing 2 mM of the [Fe(CN)6]3−/4− redox couple [30]. All electrochemical data were obtained at room temperature (25 °C). The cyclic voltammograms were performed in a three-electrode configuration with cycling the potential between −0.3 V and 0.4 V (scan rate: 0.05 V·s−1).

3. Results and Discussion

3.1. Description of Label-Free S. mutans Detection Scheme

Figure 1 schematically illustrates the label-free S. mutans detection protocol on the PCB sensor surfaces. The thiolated capture anti-Streptococcus mutans IgG was immobilized effortlessly on the PCB surface because of the strong thiol-Au interaction. Non-specific binding on the sensor surface was minimized by BSA, allowing the functionalized sensor to selectively bind with S. mutans. The electrochemical impedance spectra were recorded at each step. The complete set up of the electrochemical detection of bacteria using pocketstat is shown in Figure 2. Figure 3 shows typical EIS spectra of bare PCB, antibody-immobilized PCB, and antibody- and BSA-modified PCB surfaces, respectively, in 0.1 M PBS containing 2 mM K4Fe(CN)6 and 2 mM K3Fe(CN)6. As seen in Figure 3, the charge transfer resistance (Rct) dramatically increases from 6.26 kΩ to 27.19 kΩ, confirming that the antibody was immobilized on the sensor surface. The Rct value was further increased to 36.49 kΩ when BSA was incubated on the antibody-modified surface, confirming that BSA successfully blocked the unoccupied surface. The Rct values for the ferri/ferrocyanide are increased with successive protein layer formation on the sensing surface because the protein coverage at the PCB Au surface hindered the rate of electron transfer to the Au, causing the observed increase in the Rct.

3.2. Preparation of S. mutans Cultures for Electrochemical Detection

In order to determine the concentration of bacteria in our electrochemical test samples, the primary culture was serially diluted by a factor of 10 and the colonies were counted. Ten microliters of each solution were plated on solid agar plates (TYCSB) and incubated for 48 h to allow the growth of bacteria colonies. From counting the number of colonies, the concentration of the primary culture was found to be approximately 1.68 × 109 col/mL.

3.3. Quantification of S. mutans Detection via Impedimetric Measurement

In order to validate the antibody binding to S. mutans, an indirect ELISA experiment was performed as described in the supplementary materials (Figures S1 and S2). The ELISA data confirmed that the primary antibody binds to our strain of S. mutans successfully. Hence, we proceeded with the functionalization of our sensor via immobilization of the antibodies on the working electrode surface, and recording of the respective EIS spectra.
The Rct is the key parameter associated with the binding of the target to the capture antibody on the sensor surface, and hence, to the concentration of the S. mutans in the sample solutions. Rct can be conveniently extracted from the EIS spectrum by either direct analysis of the spectrum or by fitting the spectrum to the Randles equivalent circuit (Figure 4a (inset)). The Randles equivalent circuit is composed of solution resistance (RS) in series with the parallel integration of the double-layer capacitance (Cdl) and the charge transfer resistance (Rct) [31]. The Warburg impedance is known to be represented as the straight line with a 45° phase angle and is closely associated with the diffusion of the redox species in solution; if the Warburg impedance element is absent and the Rct values of the sensor surfaces are significantly large, this implies that a significantly large amount of a charge transfer impeding material is found on the modified sensor. The Rct of redox species is modulated by their inherent electron transfer rate and the presence of any charge transfer-impeding material on the electrode surface that the redox species must penetrate to reach the electrode surface, thus increasing the magnitude of the Rct. Impedimetric measurements were carried out after 60 µL of the redox couple was injected. Figure 4a shows representative Rct values obtained from the PCB-implemented sensor surfaces treated with different concentration of S. mutans bacteria between 103 CFU/mL and 1010 CFU/mL. Figure 4b presents the corresponding calibration plot of S. mutans detection, demonstrating the anticipated increase of Rct with increasing S. mutans concentration. This assay exhibits a lower limit of detection (LOD) of 103 CFU/mL. Three repetitions were done on the same PCB sensing surface. We observed a nonlinear behavior in the calibration curve. The signal was slowly increased with the lower S. mutans concentration, and the increment was much faster when the concentration of S. mutans was near 108 CFU/mL. The protein layer coverage on the PCB Au surface is the key factor for the Rct value change during the impedance measurement. We assume that the sudden jump behavior of the Rct from 108 to 109 was because of more potential protein layer formation on the Au surface that effectively hindered the electron transfer rate to the Au. Finally, we observed a saturation of the impedance signal when the concentration of S. mutans reached near 1010 CFU/mL.

3.4. Specificity Study of the Developed Sensor

The specificity of this sensor was studied by performing measurements on PBS buffer samples spiked with E. coli, which is a Gram-negative, facultative anaerobic, rod-shaped, coliform bacterium of the genus Escherichia that is commonly found in the lower intestine of warm-blooded organisms. As shown in Figure 5, the Rct value of 1010 CFU/mL E. coli modified sensor surface is similar to that generated from the non-spiked sample, which was used as a blank control. In contrast, the Rct value from the sample containing 106 CFU/mL S. mutans is significantly higher than that of E. coli, suggesting that our assay is highly specific to S. mutans.

4. Conclusions

In this paper we report the first PCB implemented label-free electrochemical bacterial biosensor. The thiolated capture antibody was successfully immobilized on a PCB sensing surface and we demonstrated that we can detect S. mutans selectively at a LOD of 103 CFU/mL. This work suggests that it may be possible to exploit PCB biosensors to potentially profile multiple bacteria in completely untreated samples, such as saliva. The proposed PCB which is designed and fabricated in a standard PCB manufacturing facility shows promising bacteria detection results which could be particularly useful for point-of-care and field uses in developing countries.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-666X/10/9/575/s1, Figure S1: Selection and validation of the anti-S. mutans antibody by ELISA, Figure S2: Selection and validation of the anti-S. mutans antibody by ELISA.

Author Contributions

Conceptualization, G.D., D.M., and D.P.; methodology, G.D. and A.A.J.; formal analysis, G.D. A.A.J.; writing-original draft preparation, G.D. and A.A.J.; writing-review and editing, D.M. and D.P.; supervision, D.M.

Funding

This research received no external funding.

Acknowledgments

The authors wish to acknowledge the financial support of the University of Bath International Funding Scheme and the British Council (Newton Fund Institutional Links, UK-Turkey project: 336872) We would also like to thank the Spirit Circuits Group and Lyncolec Ltd for their collaboration in manufacturing the PCB prototypes.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Abbasian, F.; Ghafar-Zadeh, E.; Magierowski, S. Microbiological Sensing Technologies: A Review. Bioengineering 2018, 5, 20. [Google Scholar] [CrossRef] [PubMed]
  2. Templier, V.; Livache, T.; Boisset, S.; Maurin, M.; Slimani, S.; Mathey, R.; Roupioz, Y. Biochips for Direct Detection and Identification of Bacteria in Blood Culture–Like Conditions. Sci. Rep. 2017, 7, 9457. [Google Scholar] [CrossRef] [PubMed]
  3. Altintas, Z.; Akgun, M.; Kokturk, G.; Uludag, Y. A fully automated microfluidic-based electrochemical sensor for real-time bacteria detection. Biosens. Bioelectron. 2018, 100, 541–548. [Google Scholar] [CrossRef]
  4. Moschou, D.; Tserepi, A. The lab-on-PCB approach: Tackling the μTAS commercial upscaling bottleneck. Lab Chip 2017, 17, 1388–1405. [Google Scholar] [CrossRef]
  5. Lebrun-Harris, L.A.; Canto, M.T.; Vodicka, P. Preventive oral health care use and oral health status among US children: 2016 National Survey of Children’s Health. J. Am. Dent. Assoc. 2019, 150, 246–258. [Google Scholar] [CrossRef] [PubMed]
  6. Ferreira, R.C.; Kawachi, I.; Souza, J.G.; Campos, F.L.; Chalub, L.L.; Antunes, J.L. Is reduced dentition with and without dental prosthesis associated with oral health-related quality of life? A cross-sectional study. Health Qual. Life Outcomes 2019, 17, 79. [Google Scholar] [CrossRef]
  7. Yetisen, A.K.; Akram, M.S.; Lowe, C.R. Paper-based microfluidic point-of-care diagnostic devices. Lab Chip 2013, 13, 2210–2251. [Google Scholar] [CrossRef]
  8. Croser, D. Oral health waits another seven UN years. Br. Dent. J. 2018, 225, 927–929. [Google Scholar] [CrossRef]
  9. Gray-Burrows, K.A.; Owen, J.; Day, P.F. Learning from good practice: A review of current oral health promotion materials for parents of young children. Br. Dent. J. 2017, 222, 937–943. [Google Scholar] [CrossRef]
  10. Fan, C.; Wang, W.; Xu, T.; Zheng, S. Risk factors of early childhood caries among children in Beijing: A case-control study. BMC Oral Health 2016, 16, 206. [Google Scholar] [CrossRef]
  11. Hemadi, A.S.; Huang, R.; Zhou, Y.; Zou, J. Salivary proteins and microbiota as biomarkers for early childhood caries risk assessment. Int. J. Oral Sci. 2017, 9, e1. [Google Scholar] [CrossRef] [PubMed]
  12. Philip, N.; Suneja, B.; Walsh, L. Beyond Streptococcus mutans: Clinical implications of the evolving dental caries aetiological paradigms and its associated microbiome. Br. Dent. J. 2018, 224, 219–225. [Google Scholar] [CrossRef] [PubMed]
  13. Decker, E.-M.; Klein, C.; Schwindt, D.; Von Ohle, C. Metabolic activity of Streptococcus mutans biofilms and gene expression during exposure to xylitol and sucrose. Int. J. Oral Sci. 2014, 6, 195–204. [Google Scholar] [CrossRef] [PubMed]
  14. Wilkins, J.C.; Homer, K.A.; Beighton, D. Analysis of Streptococcus mutans Proteins Modulated by Culture under Acidic Conditions. Appl. Environ. Microbiol. 2002, 68, 2382–2390. [Google Scholar] [CrossRef] [PubMed]
  15. Oho, T.; Yamashita, Y.; Shimazaki, Y.; Kushiyama, M.; Koga, T. Simple and rapid detection of Streptococcus mutans and Streptococcus sobrinus in human saliva by polymerase chain reaction. Oral Microbiol. Immunol. 2000, 15, 258–262. [Google Scholar] [CrossRef] [PubMed]
  16. Feng, L.; Yan, Q.; Zhang, B.; Tian, X.; Wang, C.; Yu, Z.; Cui, J.; Guo, D.; Ma, X.C.; James, T.D. Ratiometric fluorescent probe for sensing Streptococcus mutans glucosyltransferase, a key factor in the formation of dental caries. Chem. Commun. 2019, 55, 3548–3551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Nomura, R.; Nakano, K.; Nemoto, H.; Fujita, K.; Inagaki, S.; Takahashi, T.; Taniguchi, K.; Takeda, M.; Yoshioka, H.; Amano, A.; et al. Isolation and characterization of Streptococcus mutans in heart valve and dental plaque specimens from a patient with infective endocarditis. J. Med. Microbiol. 2006, 55, 1135–1140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Tam, K.; Kinsinger, N.; Ayala, P.; Qi, F.; Shi, W.; Myung, N. Real-Time Monitoring of Streptococcus mutans Biofilm Formation Using a Quartz Crystal Microbalance. Caries Res. 2007, 41, 474–483. [Google Scholar] [CrossRef] [Green Version]
  19. Kishen, A.; John, M.; Lim, C.; Asundi, A. A fiber optic biosensor (FOBS) to monitor mutans streptococci in human saliva. Biosens. Bioelectron. 2003, 18, 1371–1378. [Google Scholar] [CrossRef]
  20. Liu, B.H.; Li, K.L.; Kang, K.L.; Huang, W.K.; Liao, J.D. In situ biosensing of the nanomechanical property and electrochemical spectroscopy of Streptococcus mutans-containing biofilms. J. Phys. D Appl. Phys. 2013, 46, 275401. [Google Scholar] [CrossRef]
  21. Wang, X.; Mei, Z.; Wang, Y.; Tang, L. Gold nanorod biochip functionalization by antibody thiolation. Talanta 2015, 136, 1–8. [Google Scholar] [CrossRef] [PubMed]
  22. Dutta, G.; Lillehoj, P.B. Wash-free, label-free immunoassay for rapid electrochemical detection of PfHRP2 in whole blood samples. Sci. Rep. 2018, 8, 17129. [Google Scholar] [CrossRef] [PubMed]
  23. Jolly, P.; Rainbow, J.; Regoutz, A.; Estrela, P.; Moschou, D. A PNA-based Lab-on-PCB diagnostic platform for rapid and high sensitivity DNA quantification. Biosens. Bioelectron. 2019, 123, 244–250. [Google Scholar] [CrossRef] [PubMed]
  24. Ghoreishizadeh, S.S.; Moschou, D.; McBay, D.; Gonalez-Solino, C.; Dutta, G.; Lorenzo, M.D.; Soltan, A. Towards self-powered and autonomous wearable glucose sensor. In Proceedings of the 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Bordeaux, France, 9–12 December 2018. [Google Scholar]
  25. Dutta, G.; Regoutz, A.; Moschou, D. Commercially Fabricated Printed Circuit Board Sensing Electrodes for Biomarker Electrochemical Detection: The Importance of Electrode Surface Characteristics in Sensor Performance. Proceedings 2018, 2, 741. [Google Scholar] [CrossRef]
  26. Dutta, G.; Park, S.; Singh, A.; Seo, J.; Kim, S.; Yang, H. Low-Interference Washing-Free Electrochemical Immunosensor Using Glycerol-3-phosphate Dehydrogenase as an Enzyme Label. Anal. Chem. 2015, 87, 3574–3578. [Google Scholar] [CrossRef]
  27. Dutta, G.; Nagarajan, S.; Lapidus, L.J.; Lillehoj, P.B. Enzyme-free electrochemical immunosensor based on methylene blue and the electro-oxidation of hydrazine on Pt nanoparticles. Biosens. Bioelectron. 2017, 92, 372–377. [Google Scholar] [CrossRef]
  28. Dutta, G.; Kim, S.; Park, S.; Yang, H. Washing-Free Heterogeneous Immunosensor Using Proximity-Dependent Electron Mediation between an Enzyme Label and an Electrode. Anal. Chem. 2014, 86, 4589–4595. [Google Scholar] [CrossRef]
  29. Dutta, G.; Lillehoj, P.B. An ultrasensitive enzyme-free electrochemical immunosensor based on redox cycling amplification using methylene blue. Analyst 2017, 142, 3492–3499. [Google Scholar] [CrossRef]
  30. Ibau, C.; Arshad, M.M.; Gopinath, S.C.; Nuzaihan, M.; Fathil, M.F.; Estrela, P. Gold interdigitated triple-microelectrodes for label-free prognosticative aptasensing of prostate cancer biomarker in serum. Biosens. Bioelectron. 2019, 136, 118–127. [Google Scholar] [CrossRef]
  31. Zia, A.I.; Syaifudin, A.M.; Mukhopadhyay, S.C.; Yu, P.L.; Al-Bahadly, I.H.; Gooneratne, C.P.; Kosel, J.; Liao, T.S. Electrochemical impedance spectroscopy based MEMS sensors for phthalates detection in water and juices. J. Phys. Conf. Ser. 2013, 439, 012026. [Google Scholar] [CrossRef]
Figure 1. Schematic illustration of the label-free electrochemical S. Mutans detection scheme.
Figure 1. Schematic illustration of the label-free electrochemical S. Mutans detection scheme.
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Figure 2. Illustration of the electrochemical impedance spectra (EIS) measurement setup using a pocketstat with a commercially fabricated printed-circuit-board (PCB). Inset shows a magnified view of a PCB in a three-electrode configuration.
Figure 2. Illustration of the electrochemical impedance spectra (EIS) measurement setup using a pocketstat with a commercially fabricated printed-circuit-board (PCB). Inset shows a magnified view of a PCB in a three-electrode configuration.
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Figure 3. EIS responses of (i) bare PCB, (ii) antibody immobilized PCB, (iii) antibody and bovine serum albumin (BSA) modified PCB.
Figure 3. EIS responses of (i) bare PCB, (ii) antibody immobilized PCB, (iii) antibody and bovine serum albumin (BSA) modified PCB.
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Figure 4. EIS responses of developed biosensor to detect different concentrations of S. mutans bacteria (a) the -Z” vs. Z’ ‘Nyquist plot’ with an inset showing the equivalent Randle’s circuit and (b) the extracted Rct vs. bacterial concentration calibration curve.
Figure 4. EIS responses of developed biosensor to detect different concentrations of S. mutans bacteria (a) the -Z” vs. Z’ ‘Nyquist plot’ with an inset showing the equivalent Randle’s circuit and (b) the extracted Rct vs. bacterial concentration calibration curve.
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Figure 5. Specificity behavior of the developed biosensor in discriminating S. mutans against E. coli.
Figure 5. Specificity behavior of the developed biosensor in discriminating S. mutans against E. coli.
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MDPI and ACS Style

Dutta, G.; Jallow, A.A.; Paul, D.; Moschou, D. Label-Free Electrochemical Detection of S. mutans Exploiting Commercially Fabricated Printed Circuit Board Sensing Electrodes. Micromachines 2019, 10, 575. https://doi.org/10.3390/mi10090575

AMA Style

Dutta G, Jallow AA, Paul D, Moschou D. Label-Free Electrochemical Detection of S. mutans Exploiting Commercially Fabricated Printed Circuit Board Sensing Electrodes. Micromachines. 2019; 10(9):575. https://doi.org/10.3390/mi10090575

Chicago/Turabian Style

Dutta, Gorachand, Abdoulie A. Jallow, Debjani Paul, and Despina Moschou. 2019. "Label-Free Electrochemical Detection of S. mutans Exploiting Commercially Fabricated Printed Circuit Board Sensing Electrodes" Micromachines 10, no. 9: 575. https://doi.org/10.3390/mi10090575

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