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Glucose Sensor and Its Potential Directions

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In-Vitro Diagnostic Devices

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Abstract

This chapter elucidates diagnostic technological turnover and examines the breadth of and advances in diagnostic devices from plain to complex, but rather friendly, approaches. Most recent developments in diagnostic devices have focused on the use of low-cost (i.e., paper, cotton, and thread) materials in response to the issues of resource-limited settings in underdeveloped countries. Such developments do not, at first, appear to be a concern for First World countries because they are characterized by well-established healthcare systems and robust medicine, and they possess diverse, advanced technologies to manage health. One management approach in particular, the idea of continuously recording physical state of treated individuals to improve treatment efficiency, is an advanced healthcare approach that is sparking great interest worldwide. This strategy employs technology to modulate the chronic disease state and is a thriving trend in wealthier nations (generally, the current efforts for chronic diseases are still lagging behind for most acute or infectious diseases however). Of these investments in chronic disease management, wearable devices are a promising approach to ameliorate healthcare challenges and provide the advantages of long-term physical condition sampling/monitoring in parallel with routine life events while sparing patients unnecessary clinical time. Physicians can treat and/or manage diseases for individuals more appropriately according to data provided by these continuous physical measurements. With the announcement of the Google contact lens, an eye-mountable device designed for monitoring tear glucose levels, a new era has begun to unfold for the management of diabetes beyond the conventional approaches of urine dipsticks and blood glucose meters. The devotion of both industries involved, Google and Novartis, to the development of this contact lens will surely inspire further efforts to facilitate as yet unheard of evolutionary changes in healthcare, and individuals and corporations alike will prosper as flexible and friendly approaches to healthcare monitoring and subsequent treatment arise.

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References

  1. Embuldeniya G, Veinot P, Bell E, Bell M, Nyhof-Young J, Sale JE, Britten N (2013) The experience and impact of chronic disease peer support interventions: a qualitative synthesis. Patient Educ Couns 1:3–12

    Article  Google Scholar 

  2. Petersen PE, Ogawa H (2000) The global burden of periodontal disease: towards integration with chronic disease prevention and control. Periodontol 60:15–39

    Article  Google Scholar 

  3. Vogeli C, Shields AE, Lee TA, Gibson TB, Marder WD, Weiss KB, Blumenthal D (2007) Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med 22(Supply 3):391–395

    Google Scholar 

  4. http://www.cdc.gov/chronicdisease/resources/publications/aag/chronic.htm

  5. Center on an Aging Society (2004) Disease management programs: improving health while reducing costs? Washington. Georgetown University, DC

    Google Scholar 

  6. American Diabetes Association (2008) Economic costs of diabetes in the U.S. in 2007. Diabetes Care 31:596–615

    Article  Google Scholar 

  7. Egede LE, Gebregziabher M, Zhao Y, Dismuke CE, Walker RJ, Hunt KJ, Axon RN (2014) Impact of mental health visits on healthcare cost in patients with diabetes and comorbid mental health disorders. PLoS ONE 9:e103804

    Article  Google Scholar 

  8. Fisher L, Skaff MM, Mullan JT, Arean P, Glasgow R, Masharani U (2008) A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with type 2 diabetes. Diabet Med 25:1096–1101

    Article  Google Scholar 

  9. Yo EH, Lee SY (2010) Glucose biosensors: an overview of use in clinical practice. Sensors 10:4558–4576

    Article  Google Scholar 

  10. Hiratsuka A, Fujisawa K, Muguruma H (2008) Amperometric biosensor based on glucose dehydrogenase and plasma-polymerized thin films. Anal Sci 24:483–486

    Article  Google Scholar 

  11. American Diabetes Association (1996) American Diabetes Association: clinical practice recommendations 1996. Diabetes Care 19:S1–S118

    Article  Google Scholar 

  12. Solnica B, Naskalski JW (2007) Quality control of self-monitoring of blood glucose: why and how? J Diabetes Sci Technol 1:164–168

    Article  Google Scholar 

  13. Bandodkar AJ, Wang J (2014) Non-invasive wearable electrochemical sensors: a review. Trends Biotechnol 32:363–371

    Article  Google Scholar 

  14. Martinez AW, Phillips ST, Carrilho E, Thomas SW, Sindi H, Whitesides GM (2008) Simple telemedicine for developing regions: camera phones and paper-based microfluidic devices for real-time, off-site diagnosis. Anal Chem 80:3699–3707

    Article  Google Scholar 

  15. Lee DS, Jeon BG, Ihm C, Park JK, Jung MY (2011) A simple and smart telemedicine device for developing regions: a pocket-sized colorimetric reader. Lab Chip 11:120–126

    Article  Google Scholar 

  16. Mudanyali O, Dimitrov S, Sikora U, Padmanabhan S, Navruz I, Ozcan A (2012) Integrated rapid-diagnostic-test reader platform on a cellphone. Lab Chip 12:2678–2686

    Article  Google Scholar 

  17. Wang S, Zhao X, Khimji I, Akbas R, Qiu W, Edwards D, Cramer DW, Ye B, Demirci U (2011) Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care. Lab Chip 11:3411–3418

    Article  Google Scholar 

  18. Shen L, Hagen JA, Papautsky I (2012) Point-of-care colorimetric detection with a smartphone. Lab Chip 12:4240–4243

    Article  Google Scholar 

  19. Matlani P, Londh ND (2013) A cloud computing based telemedicine service. Point-of-Care Healthcare Technologies (PHT), 2013 IEEE, pp 326–330

    Google Scholar 

  20. Schazmann B, Morris D, Slater C, Beirne S, Fay C, Reuveny R, Moynac N, Diamond D (2010) A wearable electrochemical sensor for the real-time measurement of sweat sodium concentration. Anal Methods 2:342–348

    Article  Google Scholar 

  21. Guinovart T, Parrilla M, Crespo GA, Rius FX, Andrade FJ (2013) Potentiometric sensors using cotton yarns, carbon nanotubes and polymeric membranes. Analyst 138:5208–5215

    Article  Google Scholar 

  22. Jia W, Bandodkar AJ, Valdés-Ramírez G, Windmiller JR, Yang Z, Ramírez J, Chan G, Wang J (2013) Electrochemical tattoo biosensors for real-time noninvasive lactate monitoring in human perspiration. Anal Chem 85:6553–6560

    Article  Google Scholar 

  23. Mannoor MS, Tao H, Clayton JD, Sengupta A, Kaplan DL, Naik RR, Verma N, Omenetto FG, McAlpine MC (2012) Graphene-based wireless bacteria detection on tooth enamel. Nat Commun 3:763

    Article  Google Scholar 

  24. Yan Q, Peng B, Su G, Cohan BE, Major TC, Meyerhoff ME (2011) Measurement of tear glucose levels with amperometric glucose biosensor/capillary tube configuration. Anal Chem 83:8341–8346

    Article  Google Scholar 

  25. http://www.sensimed.ch/en/company/about-us.html

  26. March WF, Mueller A, Herbrechtsmeier P (2004) Clinical trial of a noninvasive contact lens glucose sensor. Diabetes Technol Ther 6:782–789

    Article  Google Scholar 

  27. Chu M, Shirai T, Takahashi D, Arakawa T, Kudo H, Sano K, Sawada S, Yano K, Iwasaki Y, Akiyoshi K, Mochizuki M, Mitsubayashi K (2011) Biomedical soft contact-lens sensor for in situ ocular biomonitoring of tear contents. Biomed Microdevices 13:603–611

    Article  Google Scholar 

  28. Pandey J, Liao Y, Lingley AR, Mirjalili R, Parviz BA, Otis BP (2010) A fully integrated RF powered contact lens with a single element display. IEEE Trans Biomed Circuits Syst 4:454–461

    Article  Google Scholar 

  29. Lingley AR, Ali M, Liao Y, Mirjalili R, Klonner M, Sopanen M, Suihkonen S, Shen T, Otis BP, Lipsanen H, Parviz BA (2011) A single-pixel wireless contact lens display. J Micromech Microeng 21:125014

    Article  Google Scholar 

  30. Liao Y, Yao H, Lingley A, Parviz BA, Otis BP (2012) A 3 μW CMOS glucose sensor for wireless contact-lens tear glucose monitoring. J Solid-State Circuits 47:335–344

    Article  Google Scholar 

  31. Bandodkar AJ, Wang J (2014) Non-invasive wearable electrochemical sensors: a review. Trends Biotechnol 32:363–371

    Article  Google Scholar 

  32. Berman ER (1991) Biochemistry of the eye. Plenum, New York, pp 68–76

    Google Scholar 

  33. Yao H, Liao Y, Lingley AR, Afanasiev A, Lähdesmäki I, Otis BP, Parviz BA (2012) A contact lens with integrated telecommunication circuit and sensors for wireless and continuous tear glucose monitoring. J Micromech Microeng 22:075007

    Article  Google Scholar 

  34. http://www.forbes.com/sites/leoking/2014/07/15/google-smart-contact-lens-focuses-on-healthcare-billions/

  35. Otis B, Liao YT, Amirparviz B, Yao H (2012) Wireless powered contact lens with glucose sensor. US Pat 20120245444:A1

    Google Scholar 

  36. Liu Z, Otis B (2014) In-vitro calibration of an ophthalmic analyte sensor. US Pat 20140107447:A1

    Article  Google Scholar 

  37. Liu Z, Otis B (2014) In-vitro calibration of an ophthalmic analyte sensor. US Pat 20140107448:A1

    Article  Google Scholar 

  38. Liu Z (2014) Microelectrodes in an ophthalmic electrochemical sensor. US Pat 20140107444:A1

    Article  Google Scholar 

  39. Liu Z (2014) Contact lenses having two-electrode electrochemical sensors. US Pat 20140194713:A1

    Article  Google Scholar 

  40. Liu Z (2014) Contact lenses having two-electrode electrochemical sensors. US Pat 20140190839:A1

    Article  Google Scholar 

  41. Biederman WJ, Otis B (2014) Devices and methods for a contact lens with an inward facing light source. US Pat 8764185:B1

    Google Scholar 

  42. Nelson P, Liu Z, Otis B (2014) Facilitation of temperature compensation for contact lens sensors and temperature sensing. US Pat 20140085600:A1

    Google Scholar 

  43. Biederman WJ, Pletcher N, Nelson A, Yeager D (2014) Device with dual power sources. US Pat 8742623:B1

    Google Scholar 

  44. Feldman BJ, Ouyang T, Liu Z (2014) Cationic polymer based wired enzyme formulations for use in analyte sensors. US Pat 20140141487:A1

    Google Scholar 

  45. Liu Z, Etzkorn J (2014) In-situ tear sample collection and testing using a contact lens. US Pat 20140194706:A1

    Article  Google Scholar 

  46. Yao H, Shum AJ, Cowan M, Lähdesmäki I, Parviz BA (2011) A contact lens with embedded sensor for monitoring tear glucose level. Biosens Bioelectron 26:3290–3296

    Article  Google Scholar 

  47. Saeedi E, Kim SS, Parviz BA (2007) Self-assembled inorganic micro-display on plastic. In: Proceedings of IEEE 20th international conference on MEMS, pp 755–758

    Google Scholar 

  48. Liu Z, Amirparviz B (2014) Sensor. US Pat 20140206966:A1

    Article  Google Scholar 

  49. https://www.apple.com/watch/technology/

  50. Ciolino JB, Stefanescu CF, Ross AE, Salvador-Culla B, Cortez P, Ford EM, Wymbs KA, Sprague SL, Mascoop DR, Rudina SS, Trauger SA, Cade F, Kohane DS (2014) In vivo performance of a drug-eluting contact lens to treat glaucoma for a month. Biomaterials 35:432–439

    Article  Google Scholar 

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Authors and Affiliations

  1. National Tsing Hua University, Hsinchu, Taiwan

    Chao-Min Cheng & Chen-Meng Kuan

  2. National Chung Hsing University, Taichung, Taiwan

    Chien-Fu Chen

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  1. Chao-Min Cheng
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  2. Chen-Meng Kuan
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  3. Chien-Fu Chen
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Correspondence to Chao-Min Cheng .

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© 2016 Springer International Publishing Switzerland

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Cheng, CM., Kuan, CM., Chen, CF. (2016). Glucose Sensor and Its Potential Directions. In: In-Vitro Diagnostic Devices. Springer, Cham. https://doi.org/10.1007/978-3-319-19737-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-19737-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19736-4

  • Online ISBN: 978-3-319-19737-1

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