Urine Microchip Sensing System

  • Ching-Hsing Luo
  • Mei-Jywan Syu
  • Shu-Chu Shiesh
  • Shin-Chi Lai
  • Wei-Jhe Ma
  • Yi-Hsiang Juan
  • Wen-Ho Juang
Chapter
First Online:

Abstract

The use of biosensors in intelligent electronics is a hot and popular topic. Various professionals, multidisciplinary, and cross-domain integrations in terms of chemical engineering, electrical engineering, medicine, industrial design, and manufacturers have been developed in recent years. In this chapter, a urine sensing system is introduced. The development of a urine detection device is mainly aimed at the essential indexes of chronic kidney diseases for homecare. Renal failure and complications include acute or chronic urinary tract obstruction, hepatic failure, and nephritic syndrome. At present, more than 2000 people per million worldwide have to rely on hemodialysis. The majority of patients with end stage renal disease have limited mobility, and patients must go to the hospital for diagnosis. Traditional urine detection requires a great deal of duty time prior to a patient obtaining the report. Therefore, this urine sensing system is expected to achieve fast detection and lower cost for patients.

Keywords

Urinary creatinine glomerular filtration rate (GFR) chronic kidney disease (CKD) urine albumin-to-creatinine ratio (UACR) Microalbumin Bio-electrochemical sensors Microchip sensing system Urine Potentiostat Front-end readout circuit Successive approximation ADC (analog-to-digital converter) Mixed-signal IC design 
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References

  1. 1.
    Harta JP, Crew A, Crouch E, Honeychurch KC, Pemberton RM (2004) Mini-review: some recent designs and developments of screen-printed carbon electrochemical sensors/biosensors for biomedical, environmental, and industrial analyses. Anal Lett 37(5):789–830CrossRefGoogle Scholar
  2. 2.
    Mattix HJ, Hsu CY, Shaykevich S, Curhan G (2002) Use of the albumin/creatinine ratio to detect microalbuminuria: implications of sex and race. J Am Soc Nephrol 13:1034–1039Google Scholar
  3. 3.
    Sevillano-cabeza A, Herráez-Hernández R, Campíns-Falcó P (1991) Evaluation and elimination of the interference effects of three cephalosporins on the kinetic-spectrophotometric determination of creatinine in serum using the Jaffé reaction. Anal Lett 24:1741–1766CrossRefGoogle Scholar
  4. 4.
    Dsakai T, Ohta H, Ohno N, Imai J (1995) Routine assay of creatinine in newborn baby urine by spectrophotometric flow-injection analysis. Anal Chim Acta 308:446–450CrossRefGoogle Scholar
  5. 5.
    McClatchey KD (2002) Clinical laboratory medicine, 2nd edn. Lippincott Williams & Wilkins, Philadelphia, PAGoogle Scholar
  6. 6.
    Mohabbati-Kalejahi E, Azimirad V, Bahrami M, Ganbari A (2012) A review on creatinine measurement techniques. Talanta 97:1–8CrossRefGoogle Scholar
  7. 7.
    Tsuchida T, Yoda K (1983) Multi-enzyme membrane electrodes for determination of creatinine and creatine in serum. Clin Chem 29:51–55Google Scholar
  8. 8.
    Km EJ, Haruyama T, Yanagida Y, Kobatake E, Aizawa M (1999) Disposable creatinine sensor based on thick-film hydrogen peroxide electrode system. Anal Chim Acta 394:225–231CrossRefGoogle Scholar
  9. 9.
    Meyerhoff M, Rechnitz GA (1976) An activated enzyme electrode for creatinine. Anal Chim Acta 85:277–285CrossRefGoogle Scholar
  10. 10.
    Shih YT, Huang HJ (1999) A creatinine deiminase modified polyaniline electrode for creatinine analysis. Anal Chim Acta 392:143–150CrossRefGoogle Scholar
  11. 11.
    Huang CJ, Lin JL, Chen PH, Syu MJ, Lee GB (2011) A multi-functional electrochemical sensing system using microfluid technology for detection of urea and creatinine. Electrophoresis 32(8):931–938CrossRefGoogle Scholar
  12. 12.
    Jurkiewicz M, Alegret S, Almirall J, García M, Fàbregas E (1998) Development of a biparametric bioanalyser for creatinine and urea. Validation of the determination of biochemical parameters associated with hemodialysis. Analyst 123:1321–1327CrossRefGoogle Scholar
  13. 13.
    Wen TT, Zhu WY, Xue C, Wu JH, Han Q, Wang X, Zhou XM, Jiang HJ (2014) Novel electrochemical sensing platform based on magnetic field-induced self-assembly of Fe3O4@polyaniline nanoparticles for clinical detection of creatinine. Biosens Bioelectron 56:180–185CrossRefGoogle Scholar
  14. 14.
    Wulff G, Sharhan A, Zabrocki K (1973) Enzyme analogue built polymers and their use for the resolution of racements. Tetrahedron Lett 14:4329–4332CrossRefGoogle Scholar
  15. 15.
    Mosbach K (1994) Molecular imprinting. Trends Biochem Sci 19:9–14CrossRefGoogle Scholar
  16. 16.
    Mosbach K, Haupt K (2000) Molecularly imprinted polymers and their use in biomimetic sensors. Chem Rev 100(7):2495–2504CrossRefGoogle Scholar
  17. 17.
    Masque N, Marce RM, Borrull F, Cormack PAG, Sherrington DC (2000) Synthesis and evaluation of a molecularly imprinted polymer for selective on-line solid-phase extraction of 4-nitrophenol from environmental water. Anal Chem 72:4122–4126CrossRefGoogle Scholar
  18. 18.
    Sellergren B (2001) Molecularly imprinted polymers: man-made mimics of antibodies and their applications in analytical chemistry. Elsevier, AmsterdamGoogle Scholar
  19. 19.
    Delaney TP, Mirsky VM, Wolfbeis OS (2002) Capacitive creatinine sensor based on a photografted molecularly imprinted polymer. Electroanalysis 14:221–224CrossRefGoogle Scholar
  20. 20.
    Komiyama M, Takeuchi T, Mukawa T, Asanuma H (2003) Molecular imprinting: from fundamentals to applications. Weinheim, Wiley-VCHGoogle Scholar
  21. 21.
    Sergeyeva TA, Piletsky SA, Piletska EV, Brovko OO, Karabanova LV, Sergeeva LM, El'skaya AV, Turner APF (2003) In-situ formation of porous molecularly imprinted polymer membranes. Macromolecules 36:7352–7357CrossRefGoogle Scholar
  22. 22.
    Yan M, Ramström O (eds) (2005) Molecularly imprinted materials: science and technology. Marcel Dekker, New YorkGoogle Scholar
  23. 23.
    Turner NW, Jeans CW, Brain KR, Allender CJ, Hlady V, Britt DW (2006) From 3D to 2D: a review of the molecular imprinting of proteins. Biotechnol Prog 22(6):1474–1489CrossRefGoogle Scholar
  24. 24.
    Li S, Ge Y, Piletsky SA, Lunec J (eds) (2012) Molecularly imprinted sensors: overview and applications. Elsevier, OxfordGoogle Scholar
  25. 25.
    Uchida A, Kitayama Y, Takano E, Ooya T, Takeuchi T (2013) Supraparticles comprised of molecularly imprinted nanoparticles and modified gold nanoparticles as a nanosensor platform. RSC Adv 3:25306–25311CrossRefGoogle Scholar
  26. 26.
    Takeuchi T, Sunayama H (2014) Molecularly imprinted polymers. Encyclopedia of polymeric nanomaterials. Springer, Heidelberg, pp 1–5CrossRefGoogle Scholar
  27. 27.
    Whitcombe MJ, Kirsch N, Nicholls IA (2014) Molecular imprinting science and technology: a survey of the literature for the years 2004–2011. J Mol Recognit 27(6):297–401CrossRefGoogle Scholar
  28. 28.
    Lakshmi D, Prasad BB, Sharma PS (2006) Creatinine sensor based on a molecularly imprinted polymer-modified hanging mercury drop electrode. Talanta 70(2):272–280CrossRefGoogle Scholar
  29. 29.
    Sharma PS, Lakshmi D, Prasad BB (2007) Highly sensitive and selective detection of creatinine by combined use of MISPE and a complementary MIP-sensor. Chromatographia 65(7–8):419–427CrossRefGoogle Scholar
  30. 30.
    Lakshmi D, Sharma PS, Prasad BB (2007) Imprinted polymer-modified hanging mercury drop electrode for differential pulse cathodic stripping voltammetric analysis of creatine. Biosens Bioelectron 22(12):3302–3308CrossRefGoogle Scholar
  31. 31.
    Sergeyeva TA, Gorbach LA, Piletska EV, Piletsky SA, Brovko OO, Honcharova LA, Lutsyk OD, Sergeeva LM, Zinchenko OA, El’skaya AV (2013) Colorimetric test-systems for creatinine detection based on composite molecularly imprinted polymer membranes. Anal Chim Acta 770:161–168CrossRefGoogle Scholar
  32. 32.
    Subrahmanyam S, Piletsky SA, Piletska EV, Chen BN, Karim K, Turner APF (2001) ‘Bite-and-Switch’ approach using computationally designed molecularly imprinted polymers for sensing of creatinine. Biosens Bioelectron 16(9–12):631–637CrossRefGoogle Scholar
  33. 33.
    Tsai HA, Syu MJ (2005) Synthesis and characterization of creatinine imprinted poly(4-vinylpyridine-co-divinylbenzene) as a specific recognition receptor. Anal Chim Acta 539:107–116CrossRefGoogle Scholar
  34. 34.
    Tsai HA, Syu MJ (2005) Synthesis of creatinine imprinted poly(β-cyclodextrin) for the specific binding of creatinine. Biomaterials 26:2759–2766CrossRefGoogle Scholar
  35. 35.
    Hsieh RY, Tsai HA, Syu MJ (2006) Designing a molecularly imprinted polymer as an artificial receptor for the specific recognition of creatinine in serums. Biomaterials 27(9):2083–2089CrossRefGoogle Scholar
  36. 36.
    Chang YS, Ko TH, Hsu TR, Syu MJ (2009) Synthesis of an imprinted hybrid organic-inorganic polymeric sol-gel matrix toward the specific binding and isotherm kinetics investigation of creatinine. Anal Chem 81(6):2098–2105CrossRefGoogle Scholar
  37. 37.
    Syu MJ, Hsu TR, Lin ZK (2010) Synthesis of recognition matrix from 4-methylamino-N-allylnaphthalimide with fluorescent effect for the imprinting of creatinine. Anal Chem 82(21):8821–8829CrossRefGoogle Scholar
  38. 38.
    Tsai HA, Syu MJ (2011) Preparation of imprinted poly(tetraethoxysilanol) sol-gel for the specific uptake of creatinine. Chem Eng J 168:1369–1376CrossRefGoogle Scholar
  39. 39.
    Canoa P, Simón-Vázquez R, Popplewell J, González-Fernández Á (2015) A quantitative binding study of fibrinogen and human serum albumin to metal oxide nanoparticles by surface plasmon resonance. Biosens Bioelectron 74:376–383CrossRefGoogle Scholar
  40. 40.
    Wang YY, Han MA, Liu GS, Hou XD, Huang YN, Wu KB, Li CY (2015) Molecularly imprinted electrochemical sensing interface based on in-situ-polymerization of amino-functionalized ionic liquid for specific recognition of bovine serum albumin. Biosens Bioelectron 74:792–798CrossRefGoogle Scholar
  41. 41.
    Zhu WH, Xuan CL, Liu GL, Chen Z, Wang W (2015) A label-free fluorescent biosensor for determination of bovine serum albumin and calf thymus DNA based on gold nanorods coated with acridine orange-loaded mesoporous silica. Sens Actuators B Chem 220:302–308CrossRefGoogle Scholar
  42. 42.
    Park KM, Lee SK, Sohn YS, Choi SY (2008) BioFET sensor for detection of albumin in urine. Electron Lett 44(3):185–186CrossRefGoogle Scholar
  43. 43.
    Park KY, Sohn YS, Kim CK, Kim HS, Bae YS, Choi SY (2008) Development of FET-type albumin sensor for diagnosing nephritis. Biosens Bioelectron 23(12):1904–1907CrossRefGoogle Scholar
  44. 44.
    Fatoni A, Numnuam A, Kanatharana P, Limbut W, Thavarungkul P (2014) A novel molecularly imprinted chitosan-acrylamide, graphene, ferrocene composite cryogel biosensor used to detect microalbumin. Analyst 139(23):6160–6167CrossRefGoogle Scholar
  45. 45.
    Das A, Bhadri P, Beyette FR, Am J, Bishop P, Timmons W (2006) A potentiometric sensor system with integrated circuitry for in situ environmental monitoring. Sixth IEEE conference on nanotechnology, Cincinnati, Ohio, USA, 17–20 June 2006, pp 917–920Google Scholar
  46. 46.
    Nien-Hsuan C, Jung-Chuan C, Tai-Ping S, Shen-Kan H (2006) Study on the disposable urea biosensors based on PVC-COOH membrane ammonium ion-selective electrodes. IEEE Sensors J 6:262–268CrossRefGoogle Scholar
  47. 47.
    Ahmadi MM, Jullien GA (2005) A very low power CMOS potentiostat for bioimplantable applications. Proceedings of the fifth international workshop on system-on-chip for real-time applications, Banff, Alberta, Canada, 20–24 July 2005, pp 184–189Google Scholar
  48. 48.
    Wen-Yaw C, Paglinawan AC, Ying-Hsiang W, Tsai-Tseng K (2007) A 600 μW readout circuit with potentiostat for amperometric chemical sensors and glucose meter applications. IEEE conference on electron devices and solid-state circuits, Tainan, 20–22 Dec 2007, pp 1087 − 1090Google Scholar
  49. 49.
    Ahmadi MM, Jullien GA (2009) Current-mirror-based potentiostats for three-electrode amperometric electrochemical sensors. IEEE Trans Circuits Syst I Regul Pap 56:1339–1348MathSciNetCrossRefGoogle Scholar
  50. 50.
    Martin SM, Gebara FH, Strong TD, Brown RB (2009) A fully differential potentiostat. IEEE Sensors J 9:135–142CrossRefGoogle Scholar
  51. 51.
    Schienle M, Paulus C, Frey A et al (2004) A fully electronic DNA sensor with 128 positions in-pixel ADC. IEEE J Solid-State Circuits 39(12):2438–2445CrossRefGoogle Scholar
  52. 52.
    Hassibi A, Vikalo H, Riechmann JL et al (2009) Real-time DNA microarray analysis. Nucleic Acids Res 37(20), e132CrossRefGoogle Scholar
  53. 53.
    Daniels JS, Pourmand N (2007) Label-free impedance biosensors: opportunities and challenges. Electroanalysis 19(12):1239–1257CrossRefGoogle Scholar
  54. 54.
    Yang C, Rairigh D, Mason A (2007) Fully integrated impedance spectroscopy systems for biochemical sensor array. Biomedical circuits and systems conference, Montreal, QC, 27–30 Nov 2007, pp 21–24Google Scholar
  55. 55.
    Jafari HM, Genov R (2011) CMOS impedance spectrum analyzer with dual-slope multiplying ADC. Biomedical circuits and systems conference, San Diego, CA, 10–12 Nov 2011, pp 361–364Google Scholar
  56. 56.
    Yang C, Jadhav SR, Worden RM et al (2009) Compact low-power impedance-to-digital converter for sensor array microsystems. IEEE J Solid-State Circuits 44(10):2844–2855CrossRefGoogle Scholar
  57. 57.
    Liu X, Rairigh D, Mason A (2010) A fully integrated multi-channel impedance extraction circuit for biosensor arrays. Proceedings of 2010 I.E. international symposium on circuits and systems, Paris, 30 May 2010–2 June 2010, pp 3140–3143Google Scholar
  58. 58.
    Rahal M, Demosthenous A, Bayford R (2009) An integrated common-mode feedback topology for multi-frequency bioimpedance imaging. European solid-state circuits conference, Athens, 14–18 Sept 2009, pp 416–419Google Scholar
  59. 59.
    Aguirre J, Medrano N, Calvo B, Celma S, Azcona C (2011) An analog lock-in amplifier for embedded sensor electronic interfaces. European conference on circuit theory and design (ECCTD), Linkoping, 29–31 Aug 2011, pp 425–428Google Scholar
  60. 60.
    Zou X, Xu X, Yao L, Lian Y (2009) A 1-V 450-nW fully integrated programmable biomedical sensor interface chip. IEEE J Solid-State Circuits 44(4):1067–1077CrossRefGoogle Scholar
  61. 61.
    Yazicioglu RF, Merken P, Puers R, Hoof CV (2007) A 60 μW 60 nV/√Hz readout frond-end for portable biopotential acquisition system. IEEE J Solid-State Circuits 42(5):1100–1110CrossRefGoogle Scholar
  62. 62.
    Liu CC, Chang SJ, Huang GY, Lin YZ (2010) A 10-bit 50-MS/s SAR ADC with a monotonic capacitor switching procedure. IEEE J Solid-State Circuits 45(4):731–740CrossRefGoogle Scholar
  63. 63.
    Johns D, Martin K (1997) Analog integrated circuit design. John Wiley & Sons, New YorkMATHGoogle Scholar
  64. 64.
    Chang HW, Huang HY, Juan YH, Wang WS, Luo CH (2013) Adaptive successive approximation ADC for biomedical acquisition system. Microelectron J 44(9):729–736CrossRefGoogle Scholar
  65. 65.
    Chip Implementation Center (2010) CIC referenced flow for mixed-signal IC design (Versio1.0). TaiwanGoogle Scholar
  66. 66.
    Lin C-P (2014) Post-layout simulation verification with nanosim. CIC Training Courses, http://www.synopsys.com/support/li/installation/documents/archive/iuguxu2003-09.pdf
  67. 67.
    Synopsys (2003) Nanosim integration with VCS manual. Version U-2003.03, http://www.siue.edu/~gengel/ece585WebStuff/OVI_VerilogA.pdf
  68. 68.
    Open Verilog International (1996) Verilog-A language reference manual. Version 1.0, http://www.siue.edu/~gengel/ece585WebStuff/OVI_VerilogA.pdf
  69. 69.
    Eckardt KU, Coresh J, Devuyst O et al (2013) Evolving importance of kidney disease: from subspecialty to global health burden. Lancet 382:158–169CrossRefGoogle Scholar
  70. 70.
    Coresh J, Selvin E, Stevens LA et al (2007) Prevalence of chronic kidney disease in the United States. JAMA 298:2038–2047CrossRefGoogle Scholar
  71. 71.
    Radhakrishnan J, Remuzzi G, Saran R et al (2014) Taming the chronic kidney disease epidemic: a global view of surveillance efforts. Kidney Int 86:246–250CrossRefGoogle Scholar
  72. 72.
    KDIGO (2012) Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 3(2013):1–150Google Scholar
  73. 73.
    Levey AS, de Jong PE, Coresh J et al (2011) The definition, classification and prognosis of chronic kidney disease: a KDIGO controversies conference report. Kidney Int 80:17–28CrossRefGoogle Scholar
  74. 74.
    National Institute for Health and Clinical Excellence (NICE) (2014) Chronic kidney disease: early identification and management of chronic kidney disease in adults in primary and secondary care. Clin Guide 182Google Scholar
  75. 75.
    National Kidney Foundation (2015) KDOQI clinical practice guideline for hemodialysis adequacy: 2015 update. Am J Kidney Dis 66:884–930CrossRefGoogle Scholar
  76. 76.
    Hillege HL, Fidler V, Diercks GFH et al (2002) Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population. Circulation 106:1777–1782CrossRefGoogle Scholar
  77. 77.
    Cote AM, Brown MA, Lam E et al (2008) Diagnostic accuarcy of urinary spot protein: creatinine ratio for proteinuria in hypertensive pregnant women: systematic review. BMJ 336:1003–1006CrossRefGoogle Scholar
  78. 78.
    Miller WG, Bruns DE, Hortin GL et al (2009) Cuurent issues in management and reporting of urinary albumin excretion. Clin Chem 55:24–38CrossRefGoogle Scholar
  79. 79.
    McTaggart MP, Newall RG, Hirst JA et al (2014) Diagnostic accuracy of point-of-care tests for detecting albuminuria. Ann Intern Med 160:550–557CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Ching-Hsing Luo
    • 1
    • 2
  • Mei-Jywan Syu
    • 3
  • Shu-Chu Shiesh
    • 4
  • Shin-Chi Lai
    • 5
  • Wei-Jhe Ma
    • 1
  • Yi-Hsiang Juan
    • 1
  • Wen-Ho Juang
    • 1
  1. 1.Department of Electrical EngineeringNational Cheng Kung UniversityTainanTaiwan
  2. 2.Institute of Medical Science and TechnologyNational Sun Yat-Sen UniversityKaohsiungTaiwan
  3. 3.Department of Chemical EngineeringNational Cheng Kung UniversityTainanTaiwan
  4. 4.Department of Medical Laboratory Science and BiotechnologyNational Cheng Kung UniversityTainanTaiwan
  5. 5.Department of Computer Science and Information EngineeringNan Hua UniversityChiayiTaiwan

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