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Serdal Seker
Observed name:
Serdal Şeker
Institution:
Gümüşhane University
Observed institution:
Gümüşhane University
ORCID:
0009-0002-0351-7411
Observed ORCID:
0009-0002-0351-7411
OpenAlex ID:
A5030093539
Insights into brewed tea waste as a green and low-priced adsorbent for solid-phase extraction of Cd(II) ions: isotherm, kinetic, and artificial neural network approach
2022
·
Duygu Ozdes
, Nida Tilki
, et al.
·
Journal of Analytical Science & Technology
·
11
PDF
Sol–Gel Synthesized CuFe2O4-Modified Biochar Derived from Tea Waste for Efficient Ni(II) Removal: Adsorption, Regeneration, and ANN Modeling
2025
·
Celal Duran
, Sengul Tugba Ozeken
, et al.
·
Gels
·
5
PDF
Removal of Pb(II) ions from aqueous solutions by Brevibacillus agri-loaded clay: Kinetic, isotherm, and artificial neural network modeling
2026
·
Duygu Özdeş
, Sengul Tugba Ozeken
, et al.
·
Turkish Journal of Analytical Chemistry
·
1
PDF
Waste to resource approach: CoFe 2 O 4 -modified spent tea waste for magnetic solid-phase extraction of toxic metal ions from water samples
2026
·
Serdal Seker
, Duygu Ozdes
, et al.
·
Analytical Methods
·
1
PDF
Demlenmi̇ş Çay Atiği Ve Findik Kabuğundan Bi̇yokömür Üreti̇mi̇, Karakteri̇zasyonu Ve Bazi Ağir Metalleri̇n Zengi̇nleşti̇ri̇lmesi̇nde Kullanimi
2026
·
Serdal Şeker
Enhanced cationic dye adsorption using Stenotrophomonas indicatrix -modified MnFe2O4: performance evaluation and adsorption mechanism
2026
·
Duygu Ozdes
, Alper Dede
, et al.
·
Biomass Conversion and Biorefinery
PDF
Boric acid-activated carbon derived from Scots pine sawdust for phenol removal: adsorption mechanism, linear and nonlinear kinetic and isotherm modeling, and artificial neural network prediction
2026
·
Duygu Ozdes
, Fatma Asya Turfan
, et al.
·
RSC Advances
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Works count:
7
Citation count:
18
H-index:
2
I10-index:
1
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