Design of initial biosensor for measurement of glucose in human blood by using biocomputing technology

Yuyi Chu*, Junzo Watada, Ikno Kim, Juiyu Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since biocomputing plays an essential role in the biological and medical fields, the catalytic features of enzymes can be utilized in medical applications as biosensor. In this study, we tried to build an enzymatic system as biosensor equipment application to measure blood sugar with sequential reactions of enzymes, which express logic output signals with latent fluorophore as a reporter. The expected biosensor will analyze three molecules sucrose, maltose and ATP existing in human blood, by adding some blood into the system consisted of various enzymes. Sucrose and Maltose will be decomposed into glucose; moreover, glucose and ATP have critical influence of glycolysis which shows one crucial reaction of human metabolism. The output signal was visualized by high throughput fluorescence that originated from the long-wavelength latent fluorogenic substrate-Salicylate hydroxylase (SHL) reaction. The experiment results of this research have showed the possibility to determine the combinations of the three important components, by setting the concentration of each input molecules to specific threshold values. Further researches are required to find out the relationship between the specific concentration and measure glucose results, especially in the medical field.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages237-245
Number of pages9
Volume6883 LNAI
EditionPART 3
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern
Duration: 2011 Sept 122011 Sept 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6883 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
CityKaiserslautern
Period11/9/1211/9/14

Keywords

  • Biocomputing
  • Biosensor
  • Blood Glucose
  • Enzymes
  • Forecast

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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