Development of a Graphite Based Molecularly Imprinted Polymer Electrode for the Detection of Thymoquinone in Black Cumin: A Machine Learning-Assisted Approach

21 Pages Posted: 24 Dec 2024

See all articles by Sanjoy Banerjee

Sanjoy Banerjee

affiliation not provided to SSRN

Santanu Ghorai

Heritage Institute of Technology

Milan Dhara

affiliation not provided to SSRN

Hemanta Naskar

Jadavpur University

Barnali Ghatak

Aliah University

SK Babar Ali

Aliah University

Nityananda Das

Jagannath Kishore College

Pradip Saha

Heritage Institute of Technology

Bhimsen Tudu

Jadavpur University

Arpitam Chatterjee

Jadavpur University

Rajib Bandyopadhyay

Jadavpur University

Bipan Tudu

Independent

Abstract

Thymoquinone (TQ), a key bioactive compound in black cumin (Nigella sativa), is renowned for its therapeutic benefits, including anti-arthritic and immune-enhancing properties. Despite its importance, efficient methods for the sensitive and selective detection of TQ in black cumin remain underexplored. This study introduces a thymoquinone-imprinted graphite-based (TQIP/G) electrode as an innovative and cost-effective solution for the qualitative and quantitative assessment of TQ. The study emphasizes the sensitive and selective detection of TQ using a TQ-imprinted polymer material. The surface morphology and spectrographic properties of both the TQ-imprinted polymer and a non-imprinted polymer were extensively analyzed. A three-electrode system was employed for electrochemical evaluations through differential pulse voltammetry (DPV) and cyclic voltammetry (CV), revealing outstanding analytical performance. The TQIP/G electrode demonstrated a broad linear detection range (0.5 µM–100 µM), high sensitivity (0.11 A/M), excellent selectivity (57.09%), and impressive repeatability (RSD 3.23%) and reproducibility (RSD 3.56%). The electrode also exhibited exceptional stability and achieved a low limit of detection (LOD) of 0.03 µM. Additionally, a convolutional neural network (CNN) model was employed to analyze DPV responses from real samples, providing excellent correlation with reference RP-HPLC data and achieving an average error rate within ±0.005%. This demonstrates the reliability of the TQIP/G electrode as an efficient and accurate alternative to costly and time-consuming HPLC methods for determining TQ. The proposed sensor is poised to revolutionize the quality control of black cumin and other agricultural products by combining precision, scalability, and affordability.

Keywords: Black cumin, imprinted polymer, reverse phase high-performance liquid chromatography, thymoquinone, voltammetry

Suggested Citation

Banerjee, Sanjoy and Ghorai, Santanu and Dhara, Milan and Naskar, Hemanta and Ghatak, Barnali and Ali, SK Babar and Das, Nityananda and Saha, Pradip and Tudu, Bhimsen and Chatterjee, Arpitam and Bandyopadhyay, Rajib and Tudu, Bipan, Development of a Graphite Based Molecularly Imprinted Polymer Electrode for the Detection of Thymoquinone in Black Cumin: A Machine Learning-Assisted Approach. Available at SSRN: https://ssrn.com/abstract=5069837 or http://dx.doi.org/10.2139/ssrn.5069837

Sanjoy Banerjee

affiliation not provided to SSRN ( email )

Santanu Ghorai

Heritage Institute of Technology ( email )

994 Madurdaha, Chowbaga Road, Anandapur
Kolkata, 700107
India

Milan Dhara

affiliation not provided to SSRN ( email )

Hemanta Naskar

Jadavpur University ( email )

Barnali Ghatak

Aliah University ( email )

SK Babar Ali

Aliah University ( email )

Nityananda Das

Jagannath Kishore College ( email )

Purulia, 723101
India

Pradip Saha

Heritage Institute of Technology ( email )

994 Madurdaha, Chowbaga Road, Anandapur
Kolkata, 700107
India

Bhimsen Tudu

Jadavpur University ( email )

188, Raja S.C. Mallick Rd, Kolkata 700032
Calcutta, 700032
India

Arpitam Chatterjee

Jadavpur University ( email )

188, Raja S.C. Mallick Rd, Kolkata 700032
Calcutta, 700032
India

Rajib Bandyopadhyay

Jadavpur University ( email )

188, Raja S.C. Mallick Rd, Kolkata 700032
Calcutta, 700032
India

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