Experimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar

Kaya, Nihan; YILDIZ UZUN, ZEYNEP

doi:10.1007/s13399-024-05441-4

Experimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar

Yazarlar (2)

Prof. Dr. Nihan Kaya Ondokuz Mayıs Üniversitesi, Türkiye

Doç. Dr. Zeynep YILDIZ UZUN Sinop Üniversitesi, Türkiye

Makale Türü	Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı	Biomass Conversion and Biorefinery (Q2)
Dergi ISSN	2190-6815 Dergi Bilgileri (2024)
Dergi Tarandığı Indeksler	SCI-Expanded
Makale Dili	İngilizce	Basım Tarihi	12-2024
Kabul Tarihi	12-02-2024	Yayınlanma Tarihi	29-02-2024
Cilt / Sayı / Sayfa	14 / 23 / 30667–30691	DOI	10.1007/s13399-024-05441-4
Makale Linki	https://www.webofscience.com/wos/woscc/full-record/WOS:001172611600001
UAK Araştırma Alanları	Adsorpsiyonlu Süreçler Yakıtlar ve Yanma Modelleme ve Optimizasyon

Özet

This study was carried out to evaluate the potential application of pine cone (PC)-derived activated biochar which has a surface area of 1714.5 m²/g for bromocresol green (BCG) dye removal from aqueous solution. Batch adsorption experiments involved varying pH, temperature, contact time, adsorbent dosage, and initial dye concentrations and the maximum BCG removal (96.27%) occurred at pH: 2.0, T: 45 °C, m: 2 g/L, t: 15 min., and Co: 25 mg/L. To study the characteristics of adsorption, the adsorption kinetic isotherm and thermodynamic parameters were employed. The experimental data was evaluated to fit well with the Temkin isotherm (R² = 0.99) and the adsorption process followed pseudo-first-order kinetics (R² = 0.96). Thermodynamic parameters obtained from the adsorptive uptake showed that the interaction was endothermic and spontaneous in nature. The regenerated activated PC biochar showed good performance (95.0%), even, after 4th regeneration. To predict the BCG adsorption capacity of activated PC biochar, many different artificial neural network (ANN) models have been developed. The optimal ANN model gave mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE), and R² values of 0.036, 0.578, 0.947, and 0.999, respectively. The results obtained showed that ANN can be used to effectively model the BCG adsorption process.

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Atıf Sayıları
Web of Science	19
Scopus	19

Experimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar

Dergi Adı	Biomass Conversion and Biorefinery
Kısa Adı	BIOMASS CONVERS BIOR
Yayıncı	SPRINGER HEIDELBERG
Açık Erişim	Hayır
ISSN	2190-6815
E-ISSN	2190-6823
Wos Quartile	Q2
Scopus Quartile	Q2
Tarandığı Indeksler	SCIE , Scopus
WoS Kategoriler	ENERGY & FUELS \| ENGINEERING, CHEMICAL
Scopus Kategoriler	RENEWABLE ENERGY, SUSTAINABILITY AND THE ENVIRONMENT

Experimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar

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