TY - JOUR T1 - Kovid-19 Hastalığında Kullanılan İlaç Etken Maddesi Molnupiravirin Elektrokimyasal Yöntemlerle Belirlenmesi TT - Determination of Molnupiravir, the Active Pharmaceutical Substance Used in Covid-19 Disease, by Electrochemical Methods AU - Çelik Kazıcı, Hilal AU - Işıklı, Mehmet PY - 2025 DA - August Y2 - 2025 DO - 10.53433/yyufbed.1650834 JF - Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi JO - YYUFBED PB - Van Yuzuncu Yıl University WT - DergiPark SN - 1300-5413 SP - 752 EP - 770 VL - 30 IS - 2 LA - tr AB - SARS-CoV-2’nin mutasyon kapasitesi ve öngörülemeyen yayılımı, enfeksiyonun kontrol altına alınmasını zorlaştırmakta ve antiviral ilaçların hassas analizine yönelik gelişmiş sensör teknolojilerine duyulan ihtiyacı artırmaktadır. Bu çalışmada, birlikte çöktürme yöntemiyle hazırlanmış çok duvarlı karbon nanotüp (MWCNT) destekli ferrit nanopartikül modifiye camımsı karbon elektrodu (CrFe2O4@MWCNT) kullanılarak MLP'nin elektrokimyasal davranışı ve hassas voltammetrik tayini ilk kez tanımlanmıştır. Hazırlanan CrFe₂O₄ nanopartikülleri, transmisyon elektron mikroskobu (TEM) görüntüleri, enerji dağılımlı X-ışını (SEM/EDX) ve X-ışını kırınımı (XRD) spektrumları ile karakterize edilmiştir. Döngüsel voltammetri (CV) ölçümleri, MWCNT destekli ferrit nanopartiküllerinin MLP'nin 0.1M fosfat tamponunda oksidasyonuna karşı iyi bir elektrokimyasal aktivite göstermiştir. CrFe₂O₄ nanopartiküllerinin yüksek elektrokimyasal aktivitesi sayesinde, MLP'nin pik akımı, yalın camımsı karbon elektrot ile karşılaştırıldığında CrFe₂O₄@MWCNT elektrodunda belirgin bir artış göstermiştir. Diferansiyel puls voltammetri (DPV) çalışmalarına göre, geliştirilen elektrot geniş bir doğrusal aralık (LR) sergileyerek yüksek duyarlılık ve düşük tespit sınırı (LOD) ile başarılı sonuçlar elde edilmesini sağlamıştır. Girişim çalışmaları kapsamında, dopamin (DA), askorbik asit (AA), Glukoz (Gl) ve ürik asit (UA) gibi biyomoleküllerin ve K+, Na+, Cl- gibi iyonların varlığında sensörün performansının önemli ölçüde etkilenmediği gözlemlenmiştir. Stabilite çalışmaları sonucunda, sensörün 3 gün boyunca kararlılığını koruduğu belirlenmiştir. Sonuç olarak, geliştirilen MWCNT destekli CrFe₂O₄ tabanlı elektrokimyasal sensör, MLP analizinde yüksek hassasiyet, seçicilik ve stabilite sunarak mevcut yöntemlere kıyasla güçlü bir alternatif oluşturmuştur. KW - Elektrokimyasal sensör KW - Molnupiravir (MLP) KW - SARS-CoV-2 N2 - The mutation capacity and unpredictable spread of SARS-CoV-2 complicate the control of the infection and increase the need for advanced sensor technologies for the sensitive analysis of antiviral drugs. In this study, the electrochemical behavior and sensitive voltammetric determination of MLP were described for the first time using multi-walled carbon nanotube (MWCNT) supported ferrite nanoparticle modified glassy carbon electrode (CrFe2O4@MWCNT) prepared by coprecipitation method. The prepared CrFe₂O₄ nanoparticles were characterized by transmission electron microscope (TEM) images, energy dispersive X-ray (SEM/EDX) and X-ray diffraction (XRD) spectra. Cyclic voltammetry (CV) measurements showed good electrochemical activity of MWCNT supported ferrite nanoparticles against oxidation of MLP in 0.1M phosphate buffer. Due to the high electrochemical activity of CrFe₂O₄ nanoparticles, the peak current of MLP showed a significant increase in CrFe₂O₄@MWCNT electrode compared to the plain glassy carbon electrode. According to differential pulse voltammetry (DPV) studies, the developed electrode exhibited a wide linear range (LR) and provided successful results with high sensitivity and low detection limit (LOD). Within the scope of interference studies, it was observed that the performance of the sensor was not significantly affected in the presence of biomolecules such as dopamine (DA), ascorbic acid (AA), Glucose (Gl) and uric acid (UA) and ions such as K+, Na+, Cl-. As a result of stability studies, it was determined that the sensor maintained its stability for 3 days.In conclusion, the developed CrFe₂O₄/ MWCNT based electrochemical sensor provides high sensitivity, selectivity and stability in MLP analysis, thus providing a strong alternative to existing methods. 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