Optimization of cell conditions for enzymatic fuel cell using statistical analysis

Seung Woo Jeon, Jin Young Lee, Jong Ho Lee, Seong Woo Kang, Chul Hwan Park, Seung Wook Kim

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Enzyme has been an attractive alternative to metal catalyst in biofuel cells. Enzymatic fuel cell (EFC) has the possibility of lower electric properties as well as the benefits of renewability and low temperature operation. Efficiency of the enzymatic fuel cell was related to cell conditions such as the component concentrations (substrate, enzyme cofactors, and electron transfer mediator), pH, and reaction temperature. In this study, a basic enzymatic fuel cell which contained gold electrode, pyrroloquinoline quinine (PQQ) as electron transfer mediator, lactate dehydrogenase, and lactate as substrate at ambient conditions (pH 7.0 and 25 °C of reaction temperature) was designed. Also the correlations between various components in the optimization of the component concentrations such as lactate, NAD+, and CaCl2 in electrolyte was observed by response surface methodology (RSM). The more concentration of Ca2+ ion was added, the less power density was obtained. As the concentration of CaCl2 was considered the optimized conditions (24.43 mM of lactate, 21.35 mM of NAD+ and 1.5 mM of CaCl2) for the highest power density (0.21 W) in the enzymatic fuel cell at given conditions (pH 7.0 and 25 °C of reaction temperature).

Original languageEnglish
Pages (from-to)338-343
Number of pages6
JournalJournal of Industrial and Engineering Chemistry
Volume14
Issue number3
DOIs
Publication statusPublished - 2008 May

Keywords

  • Enzymatic fuel cell
  • Lactate
  • Lactate dehydrogenase
  • NADH
  • PQQ

ASJC Scopus subject areas

  • General Chemical Engineering

Fingerprint

Dive into the research topics of 'Optimization of cell conditions for enzymatic fuel cell using statistical analysis'. Together they form a unique fingerprint.

Cite this