Synthesis of Graphite Paste/Molecularly Imprinted Polymer (MIP) Electrodes Based on Polyeugenol as a Glucose Sensor with Potentiometric Method
Muhammad Cholid Djunaidi(1*), Mei Dian Risda Afriani(2), Gunawan Gunawan(3), Miratul Khasanah(4)
(1) Department of Chemistry, Faculty of Science and Mathematics, Diponegoro University, Jl. Prof. Soedharto SH, Tembalang, Semarang 50275, Indonesia
(2) Department of Chemistry, Faculty of Science and Mathematics, Diponegoro University, Jl. Prof. Soedharto SH, Tembalang, Semarang 50275, Indonesia
(3) Department of Chemistry, Faculty of Science and Mathematics, Diponegoro University, Jl. Prof. Soedharto SH, Tembalang, Semarang 50275, Indonesia
(4) Department of Chemistry, Faculty of Science and Technology, Universitas Airlangga, Campus C, Jl. Dr. Ir. H. Soekarno (MERR), Surabaya 60115, Indonesia
(*) Corresponding Author
Abstract
Diabetes mellitus is a chronic disease in which the body is unable to metabolize carbohydrates, fats, and proteins. In this study, eugenol was polymerized and then contacted with glucose and crosslinked using polyethylene glycol diglycidyl ether (PEGDE). The resulted PE-Glucose-PEGDE was eluted using ethanol to form MIP-Glucose. It was then characterized by FTIR, SEM, electrodes using the Eutech 510 potentiostat and UV-Vis spectrophotometer. The result of polyeugenol synthesis is a reddish-brown powder with a yield of 99.90% and a molecular weight of 6318.033 g/mol. UV-Vis spectrophotometer analysis showed that the contacted glucose was 2152.505 ppm. SEM results showed differences in the surface morphology of the material, indicating the formation of cavities in MIP and ESM, while no cavities are found in NIP and ESN. The electrode optimization resulted in the best composition ratio of MIP 1 mol: paraffin: graphite, respectively of 20:35:45. The resulting electrode has a Nernst factor of 20.24 mV/decade with a measurement range of 10–5–10–1 M, a limit of detection value of 8.363 × 10–5 M, and the value of the selectivity coefficient (Kij) of the electrodes in a (10–5–10–1) M fructose solution was 0.3733; 0.23048; 0.17864; 0.12359; 0.1073.
Keywords
Full Text:
Full Text PDFReferences
[1] Shao, Y., and Lin, A.H.M., 2018, Improvement in the quantification of reducing sugars by miniaturizing the Somogyi-Nelson assay using a microtiter plate, Food Chem., 240, 898–903.
[2] Ratnayani, K. Dwi Adhi S., N.M.A., and Gitadewi, I. G.A.M.A.S., 2008, Penentuan kadar glukosa dan fruktosa pada madu randu dan madu kelengkeng dengan metode kromatografi cair kinerja tinggi, Jurnal Kimia, 2 (2), 77–86.
[3] Skoog, D.A., West, D.M., Holler, F.J., and Crouch, S.R., 2013, Fundamentals of Analytical Chemistry, 9th Ed., Cengage Learning, Boston, MA.
[4] Liu, Y., Cánovas, R., Crespo, G.A., and Cuartero, M., 2020, Thin-layer potentiometry for creatinine detection in undiluted human urine using ion-exchange membranes as barriers for charged interferences, Anal. Chem., 92 (4), 3315–3323.
[5] Lai, C.Y., Foot, P.J.S., Brown, J.W., and Spearman, P., 2017, Urea potentiometric biosensor based on a thiophene copolymer, Biosensors, 7 (1), 13.
[6] Kawahara, R., Sahatiya, P., Badhulika, S., and Uno, S., 2018, Paper-based potentiometric pH sensor using carbon electrode drawn by pencil, Jpn. J. Appl. Phys., 57 (4S), 04FM08.
[7] BelBruno, J.J., 2018, Molecularly imprinted polymers, Chem. Rev., 119, 94–119.
[8] Saylan, Y., Akgönüllü, S., Yavuz, H., Ünal, S., and Denizli, A., 2019, Molecularly imprinted polymer based sensors for medical applications, Sensors, 19 (6), 1279.
[9] Djunaidi, M.C., Khabibi, and Ulumuddin, I., 2017, Separation of Cu2+, Cd2+, and Cr3+ in a mixture solution using a novel carrier poly(methyl thiazoleethyl eugenoxy acetate) with BLM (bulk liquid membrane), IOP Conf. Ser.: Mater. Sci. Eng., 172, 012032.
[10] Djunaidi, M.C., and Astuti, Y., 2019, Synthesis, characterization and selectivity of molecularly imprinted polymer (MIP) glucose using polyeugenol as a functional polymer, Rasayan J. Chem., 12 (2), 809–821.
[11] Dinh, T.V., Choi, I.Y., Son, Y.S., and Kim, J.C., 2016, A review on non-dispersive infrared gas sensors: Improvement of sensor detection limit and interference correction, Sens. Actuators, B, 231, 529–538.
[12] Puspitasari, H.I., 2012, Pembuatan dan karakterisasi elektroda selektif berbasis karbon nanopori/molecularly imprinted polymer untuk analisis glukosa dalam madu, Undergraduate Thesis, Department of Chemistry, Universitas Airlangga, Surabaya.
[13] Jędrzak, A., Rębiś, T., Klapiszewski, L., Zdarta, J., Milczarek, G., and Jesionowski, T., 2018, Carbon paste electrode based on functional GOx/silica-lignin system to prepare an amperometric glucose biosensor, Sens. Actuators, B, 256, 176–185.
[14] Yusan, S., Rahman, M.M., Mohamad, N., Arrif, T.M., Latif, A.Z.A., Mohd Aznan, M.A., and Wan Nik, W.S.B., 2018, Development of an amperometric glucose biosensor based on the immobilization of glucose oxidase on the Se-MCM-41 mesoporous composite, J. Anal. Methods Chem., 2018, 2687341.
[15] Kim, D.M., Cho, S.J., Cho, C.H., Kim, K.B., Kim, M.Y., and Shim, Y.B., 2016, Disposable all-solid-state pH and glucose sensors based on conductive polymer covered hierarchical AuZn oxide, Biosens. Bioelectron., 79, 165–172.
[16] Çiftçi, H., Tamer, U., Teker, M.Ş., and Pekmez, N.Ö., 2013, An enzyme free potentiometric detection of glucose based on a conducting polymer poly (3-aminophenyl boronic acid-co-3-octylthiophene), Electrochim. Acta, 90, 358–365.
[17] Alhans, R.A., Singh, A., Singhal, C., Narang, J., Wadhwa, S., and Mathur, A., 2018, Comparative analysis of single-walled and multi-walled carbon nanotubes for electrochemical sensing of glucose on gold printed circuit boards, Mater. Sci. Eng., C, 90, 273–279.
[18] Khasanah, M., Widati, A.A., Handajani, U.S., Harsini, M., Ilmiah, B., and Oktavia, I.D., 2020, Imprinted zeolite modified carbon paste electrode as a selective sensor for blood glucose analysis by potentiometry, Indones. J. Chem., 20 (6), 1301–1310.
[19] Cattrall, R.W., 1997, Chemical Sensors, Oxford University Press, New York.
[20] Aulia, M.S., Abdurrahman, M., and Putrada, A.G., 2019, Pendeteksian kadar glukosa dalam darah pada gejala diabetes tipe 1 menggunakan algoritma K-Nearest Neighbor dengan metode nafas, SMARTICS, 5 (1), 14–21.
DOI: https://doi.org/10.22146/ijc.58964
Article Metrics
Abstract views : 4169 | views : 2881Copyright (c) 2021 Indonesian Journal of Chemistry
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Indonesian Journal of Chemistry (ISSN 1411-9420 /e-ISSN 2460-1578) - Chemistry Department, Universitas Gadjah Mada, Indonesia.
View The Statistics of Indones. J. Chem.