Machine learning for optimizing Reactive Red 120 biosorption onto cross-linked gelatin/alginate-TTAB-montmorillonite composite.

Kunyawut C, Umpuch C

DOI: 10.1007/s11356-026-38211-y
Published: 2026 Sep 16
Container: Environmental science and pollution research international
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11356-026-38211-y,
  title = {Machine learning for optimizing Reactive Red 120 biosorption onto cross-linked gelatin/alginate-TTAB-montmorillonite composite.},
  author = {Kunyawut C and Umpuch C},
  year = {2026},
  journal = {Environmental science and pollution research international},
  doi = {10.1007/s11356-026-38211-y},
  url = {https://doi.org/10.1007/s11356-026-38211-y}
}

RIS

TY  - JOUR
TI  - Machine learning for optimizing Reactive Red 120 biosorption onto cross-linked gelatin/alginate-TTAB-montmorillonite composite.
AU  - Kunyawut C
AU  - Umpuch C
PY  - 2026
JO  - Environmental science and pollution research international
DO  - 10.1007/s11356-026-38211-y
UR  - https://doi.org/10.1007/s11356-026-38211-y
ER  -

APA

C, K., & C, U. (2026). Machine learning for optimizing Reactive Red 120 biosorption onto cross-linked gelatin/alginate-TTAB-montmorillonite composite.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-026-38211-y

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pubmed · retrieved 2026-09-25T09:14:39.238Z