Journals / Sinop Üniversitesi Fen Bilimleri Dergisi / 2026 / Cilt: 7 Sayı: 1

All-Solid-State Composite Lead (II)-Selective Potentiometric Electrode Based on Clay

Kil Esaslı Bütünüyle-Katı-Hal Kompozit Kurşun (II)-Seçici Potansiyometrik Elektrot

Bilge Doğan(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0001-7552-3461
Bülent Çağlar(ERZINCAN BINALI YILDIRIM UNIVERSITY)0000-0002-6087-3685
Cihan Topcu(SAMSUN ÜNİVERSİTESİ)0000-0001-7552-3461
Fatih Çoldur(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0002-7037-2825
Agah Özdemir(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0003-4488-746X
Eda Keleş Güner(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0002-4421-1315
Osman Çubuk(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0001-7858-2803
Volkan Özdokur(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0002-9540-7203
Pages
8–21
Publication Date
2022-06-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was also revealed that the response time of the electrode was quite short (~5 s) and the reproducibility of the potentiometric response was quite high.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The bentonite clay was characterized by XRD, FTIR and SEM-EDX techniques.
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Key Findings & Data:It was observed that the electrode exhibited a highly sensitive and selective potentiometric response to Pb2+ ion compared to other common inorganic cations.
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Conclusion & Impact:It was also revealed that the response time of the electrode was quite short (~5 s) and the reproducibility of the potentiometric response was quite high.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bentonit · XRD · kurşun

Abstract

The bentonite clay was characterized by XRD, FTIR and SEM-EDX techniques. The characterized bentonite clay was used as an ionophore material in the production of solid state composite potentiometric electrodes and its potentiometric electrode application was carried out. It was observed that the electrode exhibited a highly sensitive and selective potentiometric response to Pb2+ ion compared to other common inorganic cations. Membrane optimization studies indicated that the composition exhibiting the best potentiometric performance properties was 65.0% graphite, 5.0% multi-walled carbon nanotube, 20.0% ionophore (bentonite) and 10.0% paraffin oil by mass. It was also observed that the Pb2+ selective composite electrode exhibited a linear response in the concentration range of 1.0×10-5 ˗ 1.0×10-1 M with an average potential difference of 31 mV for each 10-fold Pb2+concentration change in the linear operating range. The detection limit of the electrode was calculated as 9.0×10-6 M. It was also revealed that the response time of the electrode was quite short (~5 s) and the reproducibility of the potentiometric response was quite high.

Özet

Bentonit kili XRD, FTIR ve SEM-EDX teknikleriyle karakterize edildi. Karakterize edilen kil bütünüyle katı hal kompozit potansiyometrik elektrot yapımında iyonofor madde olarak kullanılmış ve kilin potansiyometrik uygulaması gerçekleştirilmiştir. Elektrodun Pb2+ iyonuna karşı, diğer yaygın inorganik katyonlarla karşılaştırıldığında oldukça duyarlı ve seçici potansiyometrik bir cevap sergilediği gözlemlenmiştir. Membran optimizasyon çalışmaları neticesinde en iyi potansiyometrik performans özellikleri sergileyen bileşimin kütlece % 65.0 grafit, % 5.0 çok duvarlı karbon nanotüp, %20.0 iyonofor (bentonit) ve %10.0 parafin yağı olduğu belirlenmiştir. Pb2+ seçici kompozit elektrodun 1.0×10-5 ˗ 1.0×10-1 M konsantrasyon aralığında doğrusal cevap sergilediği, doğrusal çalışma aralığında standart Pb2+ çözeltilerine karşı her 10 katlık konsantrasyon değişiminde ortalama 31 mV potansiyel fark sergilediği gözlenmiştir. Elektrodun tayin sınırı 9.0×10-6 M olarak hesaplanmıştır. Elektrodun cevap zamanının oldukça kısa olduğu (~5 s) potansiyometrik cevabın ve tekrarlanabilirliğinin de oldukça yüksek olduğu ortaya konmuştur.

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Cite This Article

Doğan, B., Çağlar, B., Topcu, C., Çoldur, F., Özdemir, A., Güner, E. K., Çubuk, O., Özdokur, V. (2022). All-Solid-State Composite Lead (II)-Selective Potentiometric Electrode Based on Clay. Sinop Üniversitesi Fen Bilimleri Dergisi, Cilt: 7 Sayı: 1, 8–21. https://doi.org/10.33484/sinopfbd.1080403

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References (25)

  1. Ramola, S., Belwal, T., Li, C. J., Wang, Y. Y., Lu, H. H., Yang, S. M., & Zhou, C. H. (2020). Improved lead removal from aqueous solution using novel porous bentonite-and calcite-biochar composite. Science of the Total Environment, 709, Article 136171. https://doi.org/10.1016/j.scitotenv.2019.136171
  2. Ouni, L., Ramazani, A., & Fardood, S. T., (2019). An overview of carbon nanotubes role in heavy metals removal from wastewater. Frontiers of Chemical Science and Engineering, 13(2), 274–295. https://doi.org/10.1007/s11705-018-1765-0
  3. Fu, F., & Wang, Q., (2011). Removal of heavy metal ions from wastewaters: A review. Journal of Environmental Management, 92(3), 407-418. https://doi.org/10.1016/j.jenvman.2010.11.011
  4. Uzoh, C. F., Nwabanne, J. T., & Ozofor, I. H., (2020). Electrocoagulation of Pb2+, Co2+, and Mn2+ from simulated wastewater: An algorithmic optimization using hybrid RSM-GA-PSO. Environmental Progress & Sustainable Energy, 39:e13301. https://doi.org/10.1002/ep.13301
  5. Wang, T., & Yue, W., (2017). Carbon nanotubes heavy metal detection with stripping voltammetry: a review paper. Electroanalysis, 29, 2178-2189. https://doi.org/10.1002/elan.201700276
  6. Malik, L. A., Bashir, A., Qureashi, A., & Pandith, A. H., (2019). Detection and removal of heavy metal ions: a review. Environmental Chemistry Letters, 17, 1495-1521. https://doi.org/10.1007/s10311-019-00891-z
  7. Pięk, M., Wojciechowska, A., Fendrych, K., Piech, R., & Paczosa-Bator B., (2019). A simple way to modify selectivity of sodium sensitive electrodes by using organic conductive crystals. Ionics, 25, 2311-2321. https://doi.org/10.1007/s11581-018-2600-9
  8. Lindner, E., & Gyurcsányi, R. E., (2009) Quality control criteria for solid-contact, solven tpolymeric membrane ion-selective electrodes. Journal of Solid State Electrochemistry, 13, 51-68. https://doi.org/10.1007/s10008-008-0608-1
  9. Bobacka, J., Ivaska, A., & Lewenstam, A., (2008). Potentiometric Ion Sensors. Chemical Reviews 108, 329-351. https://doi.org/10.1021/cr068100w
  10. Mendoza, M. O., Ortega, E. P., de Fuentes, O. A., Prokhorov, Y. & Luna Barcenas J. G., (2014) Chitosan/bentonit enanocomposite: Preliminary studies of its potentiometric response to nitrate ions in water. 2014 IEEE 9th Ibero American Congress on Sensors, 1-4. https://doi.org/10.1109/IBERSENSOR.2014.6995562
  11. Udomphan, K.,Wongchaisuwat, A., & Meesuk, L., (2012). CdS-intercalated bentonite: A novel sulfide ions elective electrode. Applied Mechanics and Materials, 110-116, 472-477. https://doi.org/10.4028/www.scientific.net/amm.110-116.472
  12. Parra, E. J., Blondeau, P., Crespo, G. A., & Rius, F.X., (2011). An effective nanostructured assembly for ion-selective electrodes. An ionophore covalently linked to carbon nanotubes for Pb2+ determination. Chemical Communications, 47, 2438-2440. https://doi.org/10.1039/c0cc03639k
  13. Ghaedi, M., Montazerozohori, M., Behfar, M., Khodadoust S., Andikaey Z., & Biareh, M. N., (2011). Chemically modified multiwalled carbon nanotubes as efficient material for construction of new zinc(II) ion selective carbon paste electrode. Sensor Letters, 9(5), 1718-1725. https://doi.org/10.1166/sl.2011.1735
  14. Zhang, T., Chai, Y., Yuan, R., & Guo, J., (2012). Nanostructured multi-walled carbon nanotubes derivate based on carbon paste electrode for potentiometric detection of Ag+ ions. Analytical Methods 4, 454-459. https://doi.org/10.1039/C2AY05668B
  15. Shirzadmehr, A., Afkhami, A., & Madrakian, T., (2015). A new nano-composite potentiometric sensor containing an Hg2+-ion imprinted polymer for thetra Ce determination of mercury ions in different matrices. Journal of Molecular Liquids, 204, 227-235. https://doi.org/10.1016/j.molliq.2015.01.014
  16. Wang, L., Wang, Z., Zhou, C., Song, W., & Sun, C., (2020). Potentiometric micro sensor based on ion-imprinted polymer for thetrace determination of cesium(I) ions. Journal of Dispersion Science and Technology, 41 (7), 1095-1103. https://doi.org/10.1080/01932691.2020.1730886
  17. Yolcu, M., & Dere, N., (2018). All-solid-state potentiometric cu (ıı)-selective sensor based on ıon ımprinted methacrylamide polymer. Electroanalysis 30, 1147-1154. https://doi.org/ 10.1002/elan.201700849
  18. Caglar, B., Keles Guner, E., Ersoy, S., Caglar, S., Özdemir, A.O., Özdokur, K.V., Dogan, B., İcer, F., & Cırak C., (2021). Bi2S3 nanorods decorated on bentonite nanocomposite for enhanced visible-light-driven photocatalytic performance towards degradation of organic dyes. Journal of Alloys and Compounds, 885, 160964. https://doi.org/10.1016/j.jallcom.2021.160964
  19. Caglar, B., Keles Guner, E., Özdokur, K.V., Özdemir, A.O., İçer, F., Caglar, S., Doğan, B., Beşer, B.M., Çırak, Ç., Tabak, A., & Ersoy, S., (2021). Application of BiFeO3 and Au/BiFeO3 decorated kaolinite nanocomposites as efficient photocatalyst for degradation of dye and electrocatalyst for oxygen reduction reaction. Journal of Photochemistry and Photobiology A: Chemistry, 418, Article 113400, https://doi.org/10.1016/j.jphotochem.2021.113400
  20. Caglar, B., Keles Guner, E., Keles, K., Özdokur, K.V., Cubuk, O., Coldur, F., Caglar, S., Topcu, C., & Tabak, A., (2018). Fe3O4 nanoparticles decorated smectite nanocomposite: characterization, photocatalytic and electrocatalytic activities. Solid State Sciences, 83, 122-136, https://doi.org/10.1016/j.solidstatesciences.2018.07.013
  21. Prabhu, K., Malode, S. J., Veerapur, R. S., & Shetti, N. P., (2021). Clay-based carbon sensor for electro-oxidation of nimesulide. Materials Chemistry and Physics, 262, Article 124287. https://doi.org/10.1016/j.matchemphys.2021.124992
  22. Killedar, L. S., Vernekar, P. R., Shanbhag, M. M, Shetti, N. P., Malladi, R. S., Veerapur, R. S., & Reddy K. R., (2022). Fabrication of nanoclay-modified electrodes and their use as an effective electrochemical sensor for biomedical applications. Journal of Molecular Liquids, 351, Article 118583. https://doi.org/10.1016/j.molliq.2022.118583 0167
  23. Molaei N., Wani O. B., & Bobicki E. R., (2022). A comparative study of bio polymer adsorption on model anisotropic clay surface susing quartz crystal microbalance with dissipation (QCM-D). Journal of Colloid and Interface Science, 615, 543-553. https://doi.org/10.1016/j.jcis.2022.01.180
  24. Koksal, E., Afsin, B., Tabak, A., & Caglar B., (2011). Structural characterization of aniline-bentonite composite by FTIR, DTA/TG, and PXRD analyses and BET measurement. Spectroscopy Letters, 44, 77-82. https://doi.org/10.1080/00387010903555953
  25. Topcu, C., Coldur, F., Caglar, B., Ozdokur, K. V., & Cubuk, O. (2022). Solid‐state electrochemical sensor based on a cross‐linked copper (II)‐doped copolymer and carbon nanotube material for selective and sensitive detection of monohydrogen phosphate. Electroanalysis, 34(3), 474-484. https://doi.org/10.1002/elan.202100340