Voltammetric Detection of Inositol Using a Platinum Based Electrode

Author:

Bandyopadhyay Dipan1,Nag Shreya2,Das Debangana2,Acharya Srikanta2,Tudu Bipan2,Pramanik Panchanan3,Bandyopadhyay Rajib2,Roy Runu Banerjee2

Affiliation:

1. Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, India

2. Department of Instrumentation and Electronics Engineering, Jadavpur University, Kolkata, West Bengal, India

3. Department of Chemistry and Nanoscience, GLA University, Mathura, Uttar Pradesh, India

Abstract

An electrochemical detection of inositol content using platinum (Pt)-based noble metal electrode is investigated. In this work, the electrochemical behavior of the platinum electrode has been studied and analyzed using a three-electrode system against a silver–silver chloride (Ag/AgCl) reference electrode and a steel counter electrode. Differential pulse voltammetry technique has been employed for this experimental study. A satisfactory linear range of operation was obtained from 50 to 400[Formula: see text][Formula: see text]M with [Formula: see text]M. Electrochemical responses for several inositol concentrations 50, 80, 100, 200, 300 and 400[Formula: see text][Formula: see text]M have also been analyzed using principal component analysis (PCA) with effective data clustering. A good class separability index (SI) was found to be 142.91. In addition, a prediction estimation of inositol contents using partial least square regression (PLSR) and principal component regression (PCR) algorithms were also evaluated and prediction accuracies of 93.69% and 93.71% were obtained, respectively. Moreover, the application of the Pt electrode over real orange juice sample extracts revealed satisfactory recovery rate of 96.18%. Thus, this technique of electrochemical system may be subjected for inositol detection in our daily-life food (especially juice, beverages) consumption.

Publisher

World Scientific Pub Co Pte Ltd

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Molecular-Imprinted Bipolymer Infused Capacitive Sensor for Inositol Detection in Fruits;IEEE Transactions on Instrumentation and Measurement;2023

2. Quantification of Syringic Acid in Real Samples Based on UV-Vis Spectroscopy;2022 IEEE Silchar Subsection Conference (SILCON);2022-11-04

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