TR
EN
Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material
Öz
In this study, a novel polymeric membrane potentiometric sensor based on metal organic framework was presented for the direct determination of sunset yellow. The sensor was fabricated using different ratios of sensor components containing metal organic framework (MIL-101), polyvinylchloride, nitrophenyloctylether, bis-2-ethylhegzylsebecate, dibutylphthalate, and potassiumtetrakischlorophenylborate. The sensor components were optimized to obtain the best potentiometric response and the most desired response characteristics were achieved with the sensor composition including 6.0% ionophore (MIL-101), 26.0% polyvinylchloride, 67.0% dibutylphthalate and 1.0% potassiumtetra-p-chloro-phenylborate. The optimized sensor showed a linear response to sunset yellow over the concentration range of 1.0×10-6 ˗ 1.0×10-1 molL-1 (R2=0.9993) with a Nernstian slope of 35.7±0.5 mV/decade and the detection limit was calculated as 1.7×10-7 molL-1. The sensor response was highly repeatable, and its response time was measured as 5s on average. The sensor’s potential response was not affected by the change of hydronium ions in the solution between pH=5.40-9.55 and its lifetime was evaluated as 14 weeks. The sensor was used as an indicator electrode in the titration of sunset yellow with silver nitrate solution. Additionally, the usefulness for the analytical applications of the sensor were tested using the sunset yellow spiked different water samples and some pharmaceutical drug formulations.
Anahtar Kelimeler
Kaynakça
- [1] Dey, S., Nagababu, B. H., (2022). Applications of food color and bio-preservatives in the food and its effect on the human health. Food Chemistry Advances, 1, 100019.
- [2] Scotter, M. J., (2011). Emerging and persistent issues with artificial food colours: natural colour additives as alternatives to synthetic colours in food and drink. Quality Assurance and Safety of Crops & Foods, 3(1), 28-39.
- [3] Pathare, P. B., Opara, U. L., Al-Said, F. A. J., (2013). Colour measurement and analysis in fresh and processed foods: a review. Food and bioprocess technology, 6, 36-60.
- [4] Vladislavić, N., Buzuk, M., Rončević, I. Š., & Brinić, S. (2018). Electroanalytical methods for determination of sunset yellow—a review. International Journal of Electrochemical Science, 13(7), 7008-7019.
- [5] Ghoreishi, S. M., Behpour, M., Golestaneh, M., (2012). Simultaneous determination of sunset yellow and tartrazine in soft drinks using gold nanoparticles carbon paste electrode. Food chemistry, 132(1), 637-641.
- [6] Kanberoğlu, G. S., Aydın, M., (2020). Developing a potentiometric sunset yellow selective electrode and its applications. Cumhuriyet Science Journal, 41(1), 260-268.
- [7] Joint, F. A. O., World Health Organization, WHO Expert Committee on Food Additives. (2011). Evaluation of certain food additives and contaminants: seventy-fourth [74th] report of the Joint FAO/WHO Expert Committee on Food Additives. World Health Organization.
- [8] Songyang, Y., Yang, X., Xie, S., Hao, H., Song, J., (2015). Highly-sensitive and rapid determination of sunset yellow using functionalized montmorillonite-modified electrode. Food chemistry, 173, 640-644.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Sensör Teknolojisi
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Ağustos 2026
Gönderilme Tarihi
5 Şubat 2025
Kabul Tarihi
27 Nisan 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 19 Sayı: 2
APA
Kaya, N., Saydan Kanberoğlu, G., & Topcu, C. (2026). Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material. Erzincan University Journal of Science and Technology, 19(2), 224-241. https://doi.org/10.18185/erzifbed.1623266
AMA
1.Kaya N, Saydan Kanberoğlu G, Topcu C. Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material. Erzincan University Journal of Science and Technology. 2026;19(2):224-241. doi:10.18185/erzifbed.1623266
Chicago
Kaya, Nurcan, Gülşah Saydan Kanberoğlu, ve Cihan Topcu. 2026. “Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material”. Erzincan University Journal of Science and Technology 19 (2): 224-41. https://doi.org/10.18185/erzifbed.1623266.
EndNote
Kaya N, Saydan Kanberoğlu G, Topcu C (01 Ağustos 2026) Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material. Erzincan University Journal of Science and Technology 19 2 224–241.
IEEE
[1]N. Kaya, G. Saydan Kanberoğlu, ve C. Topcu, “Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material”, Erzincan University Journal of Science and Technology, c. 19, sy 2, ss. 224–241, Ağu. 2026, doi: 10.18185/erzifbed.1623266.
ISNAD
Kaya, Nurcan - Saydan Kanberoğlu, Gülşah - Topcu, Cihan. “Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material”. Erzincan University Journal of Science and Technology 19/2 (01 Ağustos 2026): 224-241. https://doi.org/10.18185/erzifbed.1623266.
JAMA
1.Kaya N, Saydan Kanberoğlu G, Topcu C. Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material. Erzincan University Journal of Science and Technology. 2026;19:224–241.
MLA
Kaya, Nurcan, vd. “Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material”. Erzincan University Journal of Science and Technology, c. 19, sy 2, Ağustos 2026, ss. 224-41, doi:10.18185/erzifbed.1623266.
Vancouver
1.Nurcan Kaya, Gülşah Saydan Kanberoğlu, Cihan Topcu. Highly Selective Direct Determination of Sunset Yellow Using a Novel Polymeric Membrane Sensor Containing Metal Organic Framework Material. Erzincan University Journal of Science and Technology. 01 Ağustos 2026;19(2):224-41. doi:10.18185/erzifbed.1623266