Next Article in Journal
Grating-Coupled Surface Plasmon Resonance (GC-SPR) Optimization for Phase-Interrogation Biosensing in a Microfluidic Chamber
Previous Article in Journal
Routing Protocols for Underwater Wireless Sensor Networks: Taxonomy, Research Challenges, Routing Strategies and Future Directions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Tube-Integrated Painted Biosensor for Glucose and Lactate

College of Engineering, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1620; https://doi.org/10.3390/s18051620
Submission received: 24 April 2018 / Revised: 14 May 2018 / Accepted: 16 May 2018 / Published: 18 May 2018
(This article belongs to the Section Biosensors)

Abstract

:
Developing a simple and direct approach for sensitive, specific, and rapid detection of metabolic compounds is of great importance for a variety of biological, medical, and food applications. Tubes are a highly portable and accessible container shape which are widely used for scientific research in cell biology and chemical synthesis, and which are also of great use in domestic health care applications. Here, we show for the first time the development of a tube-based painted amperometric biosensor for the detection of glucose and lactate. The sensor was prepared by printing carbon graphite and silver/silver chloride inks on the interior wall of the tube and then immobilizing glucose oxidase or lactate oxidase on the sensor. The sensor showed a sensitive, rapid, and reliable detection of glucose and lactate. We anticipate that these results could open new avenues for the development of painted biosensors, and toward advanced biosensor applications.

1. Introduction

The development of new types of bioelectronic sensors could expand opportunities for both fundamental new research and for a variety of applications in healthcare, defense, and environmental monitoring [1,2]. Conventional bioelectronic sensors are based on hard substrates, such as silicon substrates and ceramics [1,2]. Recently, new developments in non-conventional electronics have attracted great attention for their advantages in flexibility, wearability, and real-time or onsite monitoring [3,4]. Our recent prior research has demonstrated several new printed and painted bioelectronic sensors, such as a plastic film-based biosensor [5], a regular paper-based biosensor [6], a cotton fabric–based biosensor [7], etc.
Tubes are a highly portable and accessible container shape which are widely used for scientific research in cell biology [8,9] and chemical synthesis [10], and which are also of great use in domestic health care applications [11,12]. Tubes are used as containers for an extremely wide variety of solutions, including enzymes [12,13], toxic chemicals [14], cell cultures [15,16], urine and blood samples [17], saliva samples [18], etc. Equipping tubes with built-in sensors can simplify chemical detection procedures and provide real-time statuses of analyte concentrations.
Amperometric biosensors are miniaturized sensing devices that can provide rapid, sensitive, and reliable detection of target analytes [19,20]. Glucose is an important analyte for biomedical applications, such as diabetes monitoring and cell biology [21,22]. Lactate is another important biomedical indicator and can be detected in oral fluids or sweat [23,24], thus making it extremely suitable for building non-invasive biosensors. It is therefore highly desirable to develop amperometric biosensors for the detection of glucose and lactate that can be constructed in a small tube. The sensor templet that we developed in this research performed these tasks effectively, and holds promise for broader applications in other fields if other bioreceptors are immobilized.
In this work, we demonstrate for the first time the development of a tube-based painted amperometric biosensor for glucose and lactate. The sensor was constructed by printing carbon graphite and silver/silver chloride (Ag/AgCl) inks on the interior wall of the tube to construct working, reference, and counter electrodes. Glucose oxidase (GOD) or lactate oxidase (LOD) was then immobilized on the working electrode of the sensor. A potential was applied between the working electrode and reference electrode. When the sensor was in the presence of glucose/lactate, the glucose/lactate was catalyzed by GOD/LOD to generate hydrogen peroxide (H2O2), which was then oxidized by the working electrode to generate a current response.

2. Materials and Methods

2.1. Apparatus and Chemicals

A potentiostat CHI660e was purchased from CH Instruments, Inc. (Shanghai, China). An oven was purchased from YiHeng, Inc. (Shanghai, China). An optical microscope was purchased from Cewei, Inc. (Shanghai, China). Carbon graphite ink and Ag/AgCl ink were purchased from Gwent Electronics Materials LTD (Pontypool, UK). Foam tipped swabs were purchased from Chengjinghao Electronic Co., Ltd. (Suzhou, China). Silver paste was purchased from Nanjing Xylite, Inc. (Nanjing, China). Sodium phosphate monobasic dihydrate was purchased from Tianjin Fuchen Chemical Reagents Factory (Tianjin, China). Glucose anhydrous was purchased from Tianjin Zhiyuan Reagent Company, Ltd. (Tianjin, China). Glutaraldehyde, sodium L-lactate, and H2O2 were purchased from Sigma-Aldrich, Inc. (Beijing China). GOD and LOD were purchased from Toyobo Co., Ltd. (Osaka, Japan). Plastic tubes (volume: 2 mL, length: 42 mm, diameter: 11 mm) were purchased from Runing Medical Instruments Co., Ltd. (Taizhou, China).

2.2. Sensing Electrode Preparation

The tube-based sensor was prepared with three electrodes, including a working electrode, a reference electrode, and a counter electrode. The working and counter electrodes were painted with carbon graphite ink, and the reference electrode was painted with Ag/AgCl ink. All three electrodes were painted vertically on the interior wall of the tube using foam tipped swabs manually, and each electrode had a dimension of 35 mm in length and 5 mm in width. After printing, the electrodes were dried in an oven at 80 °C for 30 min, followed by cooling at room temperature. Silver paste was then added to the top ends of the electrodes to connect the painted electrodes to wires.

2.3. Enzyme Functionalization

For glucose sensors, diluted glutaraldehyde (2%) and GOD (10 U μL−1) were mixed at a volume ratio of 1:1. For lactate sensors, diluted glutaraldehyde (2%) and LOD (50 U μL−1) were mixed at the same volume ratio of 1:1. For each kind of sensor, 3 μL of the mixture was placed at the bottom end of the working electrode manually with an auto pipette, covering an area of 5 mm in width and 5 mm in length. The tube was then laid horizontally with the painted electrode facing down to dry at 4 °C overnight. On the following day, it was placed at room temperature and incubated with a buffer solution for about 1 h before measurement.

2.4. Sensing Measurements

The sensing measurement of the tube-based sensor was performed with the potentiostat at room temperature (27 °C). The three electrodes were connected to the potentiostat with wires. A constant potential of 0.6 V between the working electrode versus the Ag/AgCl was applied for the amperometric measurements. The tube was placed in a tube holder vertically during the whole measurement. A volume of 0.45 mL of the phosphate buffer (50 mM, pH 7.5) was placed in the tube, covering 0.75 mm of the bottom ends of these electrodes. When the current became stable, 50 μL of H2O2 or glucose/lactate with different concentrations were injected into the buffer sequentially. All solutions are injected manually with an auto pipette. Upon adding a certain concentration of analyte into the buffer, the current signal changed and stabilized rapidly. After this, another concentration of analyte was added into the buffer and the same results were achieved. The current-versus-time curves for the detection of H2O2 or glucose/lactate were recorded, and a calibration curve between the current response and the analyte concentration was also plotted. Cyclic voltammograms for these sensors were studied with a scan rate of 30, 50, 70, or 100 mV/s, in a buffer solution (50 mM, pH 7.5) containing 2 mM of H2O2, or glucose/lactate.

3. Results and Discussion

Figure 1 shows the camera image and optical image of the tube-integrated sensor. The camera images (Figure 1a,b) show that the working, reference, and counter electrodes were successfully painted on the interior wall of the tube, for the construction of the amperometric biosensor. The electrodes are thin and straight. Figure 1b clearly indicates that the electrodes are discrete from each other. The black electrodes were painted with carbon graphite ink and functioned as the working and counter electrodes. The grey electrode was painted with Ag/AgCl ink and functioned as the reference electrode. The optical image shows that the Ag/AgCl electrode (Figure 1c) and carbon graphite electrode (Figure 1d) were uniformly painted on the wall surface. The tube was cut open to allow the picturing of these electrodes. By using a micrometer, the thicknesses of the electrodes were measured, the carbon graphite electrode has a thickness of 95 μm, and the Ag/AgCl electrode has a thickness of 260 μm. These results demonstrate that the sensor was successfully constructed on the curved inside surface of the tube.
Figure 2 shows the cyclic voltammograms of the sensors. Figure 2a shows the cyclic voltammogram of the sensor in a buffer solution containing 2 mM H2O2, which was involved in the oxidation-reduction reaction at the surface of the electrode at different potentials. Figure 2b shows the cyclic voltammograms of the enzyme-immobilized sensor in a buffer solution containing 2 mM glucose. Figure 2c shows the voltammograms of the enzyme-immobilized sensor in a buffer solution containing 2 mM lactate. Through the enzymatic reaction, glucose and lactate were catalyzed to generate H2O2, which was then detected by the electrode to generate a current response. When the scanning rate changed from 30 to 100 mV/s, the oxidation/reduction currents became slightly different due to different oxidation/reduction processes. A comparison of Figure 2a–c clearly demonstrates that glucose or lactate resulted in smaller current responses under the same potential as compared with the current response from H2O2. This was expected since H2O2 is directly involved in the oxidation and reduction on the electrode surface, while glucose or lactate is catalyzed by GOD or LOD, respectively, to produce H2O2 before the oxidation/reduction of H2O2. The shapes of the curves as shown in Figure 2 are related to the property of the painted electronic inks, and these curves show similar shapes. The curves also showed us that the electrode had a strong oxidation at a potential at 0.6 V; comparing the CV curves in the presence of analytes and in the absence of analytes, there are clearly differences of the current signals at 0.6 V (see Figure S9 in Supplementary Material). Therefore, we chose 0.6 V for subsequent amperometric measurements.
Figure 3a shows the current-versus-time response curve of the tube-integrated sensor for detection of H2O2, which is the end product of a variety of oxidase-based enzymatic reactions. The buffer solution resulted in a stable current baseline, and when H2O2 was injected it diffused to reach to the surface of the electrode and was oxidized by the electrode to generate a current response. When the entire process reached stability, the current reached a new stable status. The sensor response to the injection of H2O2 was rapid and the entire measurement process usually took less than 5 min, and occasionally, it may be a little longer due to the diffusion issue since H2O2 was manually injected into the tube. Due to the injection of H2O2, the current response was directly proportional to the concentration of H2O2, and it increased as the concentration increased. The sensor also showed excellent repeatability. As shown from C5 to C9 in Figure 3a, the current response to the increase of 1 mM H2O2 was repeatable. Figure 3b shows the calibration curve for the detection of H2O2. It shows a linear relationship between the current response and the concentration of H2O2 ranging from 0.1 mM to 8 mM with a slope of 7.46 μA mM−1 and a R2 of 0.9958. Two other sensors were built to examine the reproducibility and they have: a slope of 7.38 μA mM−1 and a R2 of 0.9708; and a slope of 7.35 μA mM−1 and a R2 of 0.9903 (see Figures S1 and S2 in Supplementary Materials). The sensor had a detection limit of 12.8 μM (signal to noise ratio of 3). The results demonstrated the sensitive and rapid detection of H2O2 with a tube-based painted sensor, which indicates the possibility for construction of a variety of biosensors based on this sensor configuration via the immobilization of bioreceptors, such as enzymes, antibodies, etc.
Figure 4 shows the characterization of the tube-integrated biosensor with the immobilization of GOD for the detection of glucose. Glucose was catalyzed by GOD to generate H2O2 on the surface of the working electrode. Therefore, by detecting H2O2, which is the end product from the enzymatic reaction, glucose could be detected. Similarly, buffer was added into the tube with the sensing electrodes, and after the current baseline became stable, different concentrations of glucose were added into the tube to generate current increases. Figure 4a shows the current-versus-time response curve for detection of glucose. It shows that although the sensor took around 3–5 min for the current to finish stabilizing, usually its signal response was reached within half a minute with an error rate of no more than 10% as compared with the final current response. The current response increased as the concentration of glucose increased. The sensor also demonstrated excellent repeatability. As shown from C5 to C9 in Figure 4a, the current response to the increase of 1 mM glucose was repeatable. Figure 4b shows the calibration curve for the sensing of glucose. It shows a linear relationship between the current response and the concentration of glucose ranging from 0.1 mM to 6 mM with a slope of 3.16 μA mM−1 and a R2 of 0.9968. Three other GOD sensors were built to examine the reproducibility and they have: a slope of 3.13 μA mM−1 and a R2 of 0.9677; a slope of 2.61 μA mM−1 and a R2 of 0.9679; a slope of 3.06 μA mM−1 and a R2 of 0.9771 (see Figures S3–S5 in Supplementary Materials). At a higher concentration of 15.4 mM, the signal response is not linearly proportional to the concentration of glucose anymore, which may be due to the saturation of enzymatic reaction. The sensor has a detection limit of 16.5 μM (signal to noise ratio of 3).
Figure 5 shows the characterization of this biosensor with the immobilization of LOD for the detection of lactate. Similar to the process described above for glucose, lactate is catalyzed by LOD to generate H2O2, which was detected on the surface of the working electrode. The addition of buffer solution and additional different concentrations of lactate solutions had the same results as the glucose tests described above. Figure 5a shows the current-versus-time response curve for detection of lactate. Similar to glucose, although the current needed around 3–5 min to finish stabilizing, the response time was usually less than 1 min with an error rate of no more than 10% as compared to the final result. As indicated in the graph, the current responses also increased as the concentration of lactate increased. The sensor showed an excellent repeatability as well. As shown from C1 to C3 in Figure 5a, the current response to the increase of 0.1 mM lactate was repeatable. Figure 5b shows the calibration curve for the sensing of lactate. It shows a linear relationship between the current response and the concentration of lactate ranging from 0.1 mM to 1 mM with a slope of 4.98 μA mM−1 and a R2 of 0.9920. Three other LOD sensors were built to examine the reproducibility and they have: a slope of 5.42 μA mM−1 and a R2 of 0.9402; a slope of 5.26 μA mM−1 and a R2 of 0.9302; a slope of 4.27 μA mM−1 and a R2 of 0.9565 (see Figures S6–S8 in Supplementary Materials). At a higher concentration of 2 mM, the signal response is no longer linearly proportional to the concentration of lactate, which may be due to the saturation of enzymatic reaction. Increasing the units of the immobilized enzymes could possibly extend the detection range of the sensor. In the mean time, the tube provides a volume that is large enough for samples to be diluted before measurement. Therefore, the relatively low saturation concentration should not affect the practical application for monitoring lactate concentration that is above 1 mM. The sensor had a detection limit of 84.8 μM (signal to noise ratio of 3).
These results demonstrate that the tube-based sensors we constructed can be used for sensitive and rapid detection of both glucose and lactate. Although stabilization times were longer at high concentrations for both glucose and lactate, overall detection times were short, and the longer stabilization times at high concentrations may have been caused by the longer process of the analyte’s diffusion. Fluctuations at high concentrations were not concerning since they well exceeded the detection ranges and therefore did not affect the calibration curve of the sensors. These fluctuations may have been caused by enzyme saturation, but further study is required before a final conclusion can be reached. The sensors could be applied for both one one-time measurement and continuous monitoring of glucose or lactate concentrations in various healthcare, molecular biology, or food applications. Overall, our results indicate the possibility of construction of a variety of other tube-integrated biosensors predicated on the immobilization of other bioreceptors.

4. Conclusions

In this work, we have shown for the first time the development of a tube-integrated glucose/lactate biosensor and its successful application for the sensitive and rapid detection of glucose/lactate. Our sensor construction method was simple, with carbon graphite and Ag/AgCl inks printing onto the interior wall of a tube and glucose/lactate oxidase immobilized on the sensor. The process was easy to perform, low cost, and rapid. The sensor showed a reliable detection of glucose/lactate with a broad detection range and a rapid measuring time. This approach may provide new avenues for constructing a variety of other tube-based sensors with applications in healthcare, molecular biology, defense, food safety, and environmental monitoring.

Supplementary Materials

The following are available online at https://www.mdpi.com/1424-8220/18/5/1620/s1.

Author Contributions

Conceptualization, Y.C.; Methodology, W.S., X.L. and Y.C.; Validation, W.S., X.L. and Y.C.; Formal Analysis, W.S., X.L. and Y.C.; Data Curation, W.S., and Y.C.; Writing-Original Draft Preparation, W.S. and Y.C.; Writing-Review & Editing, W.S. and Y.C.; Supervision, Y.C.; Funding Acquisition, Y.C.

Funding

This research was funded by National Double First-Class University Fund of China and National Thousand-Young-Talent Program of China.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Regidor, P.-A.; Kaczmarczyk, M.; Schiweck, E.; Goeckenjan-Festag, M.; Alexander, H. Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature. Gynecol. Endocrinol. 2018, 34, 256–260. [Google Scholar] [CrossRef] [PubMed]
  2. Wu, L.-C.; Tsai, T.-H.; Liu, M.-H.; Kuo, J.-L.; Chang, Y.-C.; Chung, Y.-C. A Green Microbial Fuel Cell-Based Biosensor for In Situ Chromium (VI) Measurement in Electroplating Wastewater. Sensors 2017, 17, 2461. [Google Scholar] [CrossRef] [PubMed]
  3. Bhat, K.S.; Ahmad, R.; Yoo, J.Y.; Hahn, Y.B. Nozzle-jet printed flexible field-effect transistor biosensor for high performance glucose detection. J. Colloid Interface Sci. 2017, 506, 188–196. [Google Scholar] [CrossRef] [PubMed]
  4. Chou, J.-C.; Chen, H.-Y.; Liao, Y.-H.; Lai, C.-H.; Yan, S.-J.; Wu, C.-Y.; Wu, Y.-X. Sensing Characteristic of Arrayed Flexible Indium Gallium Zinc Oxide Lactate Biosensor Modified by GO and Magnetic Beads. IEEE Trans. Nanotechnol. 2018, 17, 147–153. [Google Scholar] [CrossRef]
  5. Labroo, P.; Cui, Y. Flexible graphene bio-nanosensor for lactate. Biosens. Bioelectron. 2013, 41, 852–856. [Google Scholar] [CrossRef] [PubMed]
  6. Labroo, P.; Cui, Y. Graphene nano-ink biosensor arrays on a microfluidic paper for multiplexed detection of metabolites. Anal. Chim. Acta 2014, 813, 90–96. [Google Scholar] [CrossRef] [PubMed]
  7. Luo, X.; Yu, H.; Cui, Y. A Wearable Amperometric Biosensor on a Cotton Fabric for Lactate. IEEE Electron Device Lett. 2018, 39, 123–126. [Google Scholar] [CrossRef]
  8. Gaitas, A.; Kim, G. Chemically Modified Plastic Tube for High Volume Removal and Collection of Circulating Tumor Cells. PLoS ONE 2015, 10, e0133194. [Google Scholar] [CrossRef] [PubMed]
  9. Yoon, J.K.; Sim, W.Y.; Xu, F.; Lee, W.G. Effect of a microwave warming of cell culture media on cell viability and confluence rate. Microsyst. Technol. 2016, 22, 2307–2313. [Google Scholar] [CrossRef]
  10. Meier, M.; Ungerer, J.; Klinge, M.; Nirschl, H. Synthesis of nanometric silica particles via a modified Stober synthesis route. Colloid Surface A 2018, 538, 559–564. [Google Scholar] [CrossRef]
  11. Heinemann, L.; Gostemeyer, L.; Kaltheuner, M.; Adamczewski, H.; Faber-Heinemann, G.; Weber, D. Gestational Diabetes Diagnoses in Specialist Diabetes and Gynaecological Practices. Diabetes Stoffwechs. Herz 2017, 26, 263–269. [Google Scholar]
  12. Nilsson, K.; Grankvist, K.; Juthberg, C.; Brulin, C.; Soderberg, J. Deviations from venous blood specimen collection guideline adherence among senior nursing students. Nurse Educ. Today 2014, 34, 237–242. [Google Scholar] [CrossRef] [PubMed]
  13. Liu, M.; Chang, D.R.; Li, Y.F. Discovery and Biosensing Applications of Diverse RNA-Cleaving DNAzymes. Acc. Chem. Res. 2017, 50, 2273–2283. [Google Scholar] [CrossRef] [PubMed]
  14. Worek, F.; Wosar, A.; Baumann, M.; Thiermann, H.; Wille, T. Development of a sensitive, generic and easy to use organophosphate skin disclosure kit. Toxicol. Lett. 2017, 280, 190–194. [Google Scholar] [CrossRef] [PubMed]
  15. Gunam, I.B.W.; Iqbal, M.; Arnata, I.W.; Antara, N.S.; Anggreni, A.A.M.D.; Setiyo, Y.; Gunadnya, I.B.P. Biodesulfurization of Dibenzothiophene by a Newly Isolated Agrobacterium tumefaciens LSU20. Appl. Mech. Mater. 2017, 855, 143–149. [Google Scholar] [CrossRef]
  16. Kubota, T.; Watanabe, A.; Suda, M.; Kogure, T.; Hiraga, K.; Inui, M. Production of para-aminobenzoate by genetically engineered Corynebacterium glutamicum and non-biological formation of an N-glucosyl byproduct. Metab. Eng. 2016, 38, 322–330. [Google Scholar] [CrossRef] [PubMed]
  17. Moyers-Gonzalez, M.A.; Owens, R.G. Mathematical modelling of the cell-depleted peripheral layer in the steady flow of blood in a tube. Biorheology 2010, 47, 39–71. [Google Scholar] [PubMed]
  18. Howland, L.C.; Pickler, R.H.; Sullenbarger, B.A.; Connelly, C.D. Oxytocin Levels in Community-Collected Saliva Samples Transported by Dry Versus Wet Ice. Biol. Res. Nurs. 2018, 20, 49–53. [Google Scholar] [CrossRef] [PubMed]
  19. Rakhi, R.B.; Nayak, P.; Xia, C.; Alshareef, H.N. Novel amperometric glucose biosensor based on MXene nanocomposite. Sci. Rep. 2016, 6, 36422. [Google Scholar] [CrossRef] [PubMed]
  20. Imani, S.; Bandodkar, A.J.; Mohan, A.M.V.; Kumar, R.; Yu, S.F.; Wang, J.; Mercier, P.P. A wearable chemical-electrophysiological hybrid biosensing system for real-time health and fitness monitoring. Nat. Commun. 2016, 7, 11650. [Google Scholar] [CrossRef] [PubMed]
  21. Gorboulev, V.; Schurmann, A.; Vallon, V.; Kipp, H.; Jaschke, A.; Klessen, D.; Friedrich, A.; Scherneck, S.; Rieg, T.; Cunard, R.; et al. Na+-d-glucose Cotransporter SGLT1 is Pivotal for Intestinal Glucose-Absorption and Glucose-Dependent Incretin Secretion. Diabetes 2012, 61, 187–196. [Google Scholar] [CrossRef] [PubMed]
  22. Garcia-Caceres, C.; Quarta, C.; Varela, L.; Gao, Y.Q.; Gruber, T.; Legutko, B.; Jastroch, M.; Johansson, P.; Ninkovic, J.; Yi, C.X.; et al. Astrocytic Insulin Signaling Couples Brain Glucose Uptake with Nutrient Availability. Cell 2016, 166, 867–880. [Google Scholar] [CrossRef] [PubMed]
  23. Derbyshire, P.J.; Barr, H.; Davis, F.; Higson, S.P.J. Lactate in human sweat: A critical review of research to the present day. J. Physiol. Sci. 2012, 62, 429–440. [Google Scholar] [CrossRef] [PubMed]
  24. Lomonaco, T.; Ghimenti, S.; Biagini, D.; Bramanti, E.; Onor, M.; Bellagambi, F.G.; Fuoco, R.; Di Francesco, F. The effect of sampling procedures on the urate in oral fluid and lactate concentration in oral fluid. Microchem. J. 2018, 136, 255–262. [Google Scholar] [CrossRef]
Figure 1. Images of a tube-based sensor. (a) A camera image of the sensor that shows a carbon graphite electrode and a Ag/AgCl electrode; (b) A camera image of the sensor that shows two carbon graphite electrodes; (c) An optical image of the Ag/AgCl electrode; (d) An optical image of the carbon graphite electrode.
Figure 1. Images of a tube-based sensor. (a) A camera image of the sensor that shows a carbon graphite electrode and a Ag/AgCl electrode; (b) A camera image of the sensor that shows two carbon graphite electrodes; (c) An optical image of the Ag/AgCl electrode; (d) An optical image of the carbon graphite electrode.
Sensors 18 01620 g001
Figure 2. Cyclic voltammograms of the sensor. (a) Cyclic voltammogram of the sensor with 2 mM H2O2; (b) Cyclic voltammogram of the glucose oxidase-immobilized sensor with 2 mM glucose. (c) Cyclic voltammogram of the lactate oxidase-immobilized sensor with 2 mM lactate.
Figure 2. Cyclic voltammograms of the sensor. (a) Cyclic voltammogram of the sensor with 2 mM H2O2; (b) Cyclic voltammogram of the glucose oxidase-immobilized sensor with 2 mM glucose. (c) Cyclic voltammogram of the lactate oxidase-immobilized sensor with 2 mM lactate.
Sensors 18 01620 g002
Figure 3. Characterization of the sensor for the detection of H2O2. (a) Current vs. time signal response curve to different concentrations of H2O2, C1: 0.1 mM, C2: 0.2 mM, C3: 0.2 mM. C4: 0.5 mM, C5: 1.0 mM, C6: 1.0 mM, C7: 1.0 mM, C8: 1.0 mM, C9: 1.0 mM, C10: 2.0 mM; (b) Calibration curve for the detection of H2O2.
Figure 3. Characterization of the sensor for the detection of H2O2. (a) Current vs. time signal response curve to different concentrations of H2O2, C1: 0.1 mM, C2: 0.2 mM, C3: 0.2 mM. C4: 0.5 mM, C5: 1.0 mM, C6: 1.0 mM, C7: 1.0 mM, C8: 1.0 mM, C9: 1.0 mM, C10: 2.0 mM; (b) Calibration curve for the detection of H2O2.
Sensors 18 01620 g003
Figure 4. Characterization of the glucose oxidase-immobilized sensor for the detection of glucose. (a) Current vs. time signal response curve to different concentrations of glucose, C1: 0.1 mM, C2: 0.2 mM, C3: 0.2 mM. C4: 0.5 mM, C5: 1.0 mM, C6: 1.0 mM, C7: 1.0 mM, C8: 1.0 mM, C9: 1.0 mM, C10: 9.4 mM (b) Calibration curve for the detection of glucose.
Figure 4. Characterization of the glucose oxidase-immobilized sensor for the detection of glucose. (a) Current vs. time signal response curve to different concentrations of glucose, C1: 0.1 mM, C2: 0.2 mM, C3: 0.2 mM. C4: 0.5 mM, C5: 1.0 mM, C6: 1.0 mM, C7: 1.0 mM, C8: 1.0 mM, C9: 1.0 mM, C10: 9.4 mM (b) Calibration curve for the detection of glucose.
Sensors 18 01620 g004
Figure 5. Characterization of the lactate oxidase-immobilized sensor for the detection of lactate. (a) Current vs. time signal response curve to different concentrations of lactate, C1: 0.1 mM, C2: 0.1 mM, C3: 0.1 mM. C4: 0.2 mM, C5: 0.3 mM, C6: 0.2 mM, C7: 1.0 mM (b) Calibration curve for the detection of lactate.
Figure 5. Characterization of the lactate oxidase-immobilized sensor for the detection of lactate. (a) Current vs. time signal response curve to different concentrations of lactate, C1: 0.1 mM, C2: 0.1 mM, C3: 0.1 mM. C4: 0.2 mM, C5: 0.3 mM, C6: 0.2 mM, C7: 1.0 mM (b) Calibration curve for the detection of lactate.
Sensors 18 01620 g005

Share and Cite

MDPI and ACS Style

Shi, W.; Luo, X.; Cui, Y. A Tube-Integrated Painted Biosensor for Glucose and Lactate. Sensors 2018, 18, 1620. https://doi.org/10.3390/s18051620

AMA Style

Shi W, Luo X, Cui Y. A Tube-Integrated Painted Biosensor for Glucose and Lactate. Sensors. 2018; 18(5):1620. https://doi.org/10.3390/s18051620

Chicago/Turabian Style

Shi, Weihua, Xiaojin Luo, and Yue Cui. 2018. "A Tube-Integrated Painted Biosensor for Glucose and Lactate" Sensors 18, no. 5: 1620. https://doi.org/10.3390/s18051620

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop