<p>The present work describes the chemical synthesis of silver nanoparticle (AgNP), polyaniline (PANI) and polyaniline-silver nanoparticle (PANI-AgNP) nanocomposite were used to modify the platinum screen printed electrode (PSPE). We developed a non-enzymatic multiplexed electrochemical biosensor using a PANI-AgNP nanocomposite for the detection of glucose and urea and facilitated the simultaneous detection of glucose and urea molecules using redox reaction on the electrode surface and electroactive areas were calculated using Randles–Sevick equation. Validation and sensing performance of synthesized nanocomposites have been evaluated by the optical and electrochemical methods. The Cyclic voltammetry (CV) of urea at 50 mV showed a linear response with <i>R</i><sup><i>2</i></sup> of 0.989. The detection limit (1.9 µM/0.021 µM) and quantification limit (5 µM/0.652 µM) towards glucose &amp; urea detection. This approach could be useful for diagnosing diabetes, liver and kidney issues.</p>

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Multiplex Biosensor Interface Utilizing PANI-AgNP Nanocomposite for Glucose and Urea Detection

  • Sweety Pal,
  • Dharmesh Kumar,
  • Shandre Pillay,
  • Sudheesh K. Shukla,
  • Chaudhery Mustansar Hussain

摘要

The present work describes the chemical synthesis of silver nanoparticle (AgNP), polyaniline (PANI) and polyaniline-silver nanoparticle (PANI-AgNP) nanocomposite were used to modify the platinum screen printed electrode (PSPE). We developed a non-enzymatic multiplexed electrochemical biosensor using a PANI-AgNP nanocomposite for the detection of glucose and urea and facilitated the simultaneous detection of glucose and urea molecules using redox reaction on the electrode surface and electroactive areas were calculated using Randles–Sevick equation. Validation and sensing performance of synthesized nanocomposites have been evaluated by the optical and electrochemical methods. The Cyclic voltammetry (CV) of urea at 50 mV showed a linear response with R2 of 0.989. The detection limit (1.9 µM/0.021 µM) and quantification limit (5 µM/0.652 µM) towards glucose & urea detection. This approach could be useful for diagnosing diabetes, liver and kidney issues.