Evidence map›Paper›PMID 40442878›Full record

ArticleACS applied materials & interfaces2025

Phosphorylated Bacterial Cellulose-Poly(vinyl alcohol) Membrane for Organic Pollutant Removal.

Pornsuda Kotcharat, Bhumin Than-Ardna, Christoph Weder, Hathaikarn Manuspiya

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pornsuda KotcharatThe Petroleum and Petrochemical College, Chulalongkorn University, Bangkok 10330, Thailand.
Bhumin Than-ArdnaThe Petroleum and Petrochemical College, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0001-8058-9596
Christoph WederAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.ORCID 0000-0001-7183-1790
Hathaikarn ManuspiyaThe Petroleum and Petrochemical College, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0001-7791-540X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A bacterial cellulose (BC)/poly(vinyl alcohol) (PVA) composite membrane was phosphorylated using a diammonium phosphate (DAP) solution to increase its capability to remove organic pollutants from wastewater. The bacterial cellulose was extracted from nata de coco waste, and the formation of a composite membrane was achieved by casting aqueous mixtures that, in addition to the BC, contain 3% w/w PVA relative to the BC. The membranes thus made were subsequently phosphorylated to increase the surface charge density and thereby the adsorption capacity of the membrane. The concentration of DAP was varied from 0.05 to 0.3 M to vary the charge density of the membrane. Using methylene blue (MB) as a model pollutant, it is shown that phosphorylation increases the MB adsorption capacity from 2.9 to 20.3 mg/g and leads to multilayer adsorption behaviors. Recyclability experiments confirm the high reusability of the membranes over 5 cycles and demonstrate a high removal efficiency of over 90%.

Indexed as

CelluloseMembranes, ArtificialPolyvinyl AlcoholWater Pollutants, ChemicalWater PurificationAdsorptionMethylene BluePhosphorylationWastewaterCelluloseMembranes, ArtificialMethylene BluePolyvinyl AlcoholWastewaterWater Pollutants, Chemicaladsorptionadsorptive membranebacterial cellulosemethylene blueorganic pollutant removalphosphorylationpoly(vinyl alcohol)wastewater treatment

Identifiers

PMID40442878
PMCPMC12163924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.