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SCI-Expanded JCR Q2 Özgün Makale Scopus
Preparation and Characterization of the MMT@Fe3O4@Ag Nanocomposite for Catalytic Degradation of Methyl Yellow: Reaction Parameters and Mechanism Based on the Artificial Neuron Network
ACS Omega 2025 Cilt 10 Sayı 1
Scopus Eşleşmesi Bulundu
3
Atıf
10
Cilt
134-146
Sayfa
🔓
Açık Erişim
Özet
The montmorillonite@iron oxide@silver (MMT@Fe3O4@Ag) nanocomposite, which is recyclable and exhibits high catalytic activity, was evaluated for the degradation of methyl yellow (MY), a carcinogenic azo dye. For this purpose, MMT@Fe3O4 was first synthesized via the coprecipitation method and then Ag was doped to MMT@Fe3O4 via the chemical reduction method. MMT, MMT@Fe3O4, and MMT@Fe3O4@Ag were characterized by various techniques including scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, vibrating sample magnetometer, and thermal gravimetric analysis. The results illustrated that MMT@Fe3O4@Ag exhibited a higher catalytic ability than MMT@Fe3O4 toward decolorization of MY with a degradation efficiency of 100% in 10 min at pH 7.1 in the presence of sodium borohydride (NaBH4). Further, some parameters like the amount of NaBH4, initial dye concentration, and pH were also studied to determine optimum reaction conditions. MMT@Fe3O4@Ag could be easily separated and recycled from the reaction medium using an external magnet. Thus, the Ag-doped MMT@Fe3O4 nanocomposite proved to have good catalytic activity, high MY degradation rate and reusability, and easy separation and simple synthesis method. These properties make it a promising catalyst for the treatment of wastewater containing organic pollutants. In addition, artificial neural network (ANN) simulation, which is a mathematical model with an artificial intelligence algorithm, was used for the degradation process. This model was evaluated with the parameters used in the experiment as the input and output layers. Last, the degradation of MY with the synthesized catalyst into different products was demonstrated by high-performance liquid chromatography (HPLC) analysis.

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Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2025 yılı verileri
ACS Omega
Q1
SJR Quartile
0,805
SJR Skoru
148
H-Index
🔓
Açık Erişim
Kategoriler: Chemical Engineering (miscellaneous) (Q1) · Chemistry (miscellaneous) (Q2)
Alanlar: Chemical Engineering · Chemistry
Ülke: United States · American Chemical Society
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

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Makale Bilgileri

Dergi ACS Omega
ISSN 2470-1343
Yıl 2025 / 1. ay
Cilt / Sayı 10 / 1
Sayfalar 134 – 146
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
JCR Quartile Q2
Teşvik Puanı 8,64 · YÖKSİS Akademik Teşvik
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 3 kişi
Erişim Türü Basılı+Elektronik
Alan Fen Bilimleri ve Matematik Temel Alanı Kimya

YÖKSİS Yazar Kaydı

Yazar Adı ALTUN TÜRKAN,acar musa kazım,GÜBBÜK İLKAY HİLAL
YÖKSİS ID 8516444

Metrikler

Scopus Atıf 3
Havuz Atıfları 0
JCR Quartile Q2
Teşvik Puanı 8,64
Yazar Sayısı 3