Evidence map›Paper›PMID 42495413›Full record

ReviewACS omega2026

Hybrid Slow Sand Filtration for Emerging Applications in Water Treatment.

Makhabbat Kunarbekova, Ulan Zhantikeyev, Kainaubek Toshtay, Sapargali Inabat, Ronny Berndtsson, Shynggyskhan Sultakhan, Jechan Lee, Seitkhan Azat

Abstract readReview
In one paragraph

Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Makhabbat KunarbekovaLaboratory of Engineering Profile, Satbayev University, 22 Satbayev Str, Almaty 050013, Kazakhstan.
Ulan ZhantikeyevLaboratory of Engineering Profile, Satbayev University, 22 Satbayev Str, Almaty 050013, Kazakhstan.
Kainaubek ToshtayAl-Farabi Kazakh National University, 71 Al-Farabi Ave, Almaty 050040, Kazakhstan.
Sapargali InabatLaboratory of Engineering Profile, Satbayev University, 22 Satbayev Str, Almaty 050013, Kazakhstan.
Ronny BerndtssonDivision of Water Resources Engineering & Centre for Advanced Middle Eastern Studies, Lund University, Box 118, Lund 221 00, Sweden.
Shynggyskhan SultakhanLaboratory of Engineering Profile, Satbayev University, 22 Satbayev Str, Almaty 050013, Kazakhstan.
Jechan LeeDepartment of Global Smart City & School of Civil, Architectural Engineering, and Landscape Architecture, Sungkyunkwan University, 2066 Seobu-Ro, Jangan-Gu 03063, Republic of Korea.ORCID https://orcid.org/0000-0002-9759-361X
Seitkhan AzatLaboratory of Engineering Profile, Satbayev University, 22 Satbayev Str, Almaty 050013, Kazakhstan.ORCID https://orcid.org/0000-0002-9705-7438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current review summarizes recent advances in slow sand filtration (SSF) for water treatment, with a focus on addressing key gaps identified in recent studies. SSF has progressed beyond traditional biophysical processes through the integration of hybrid systems and advanced materials. The addition of zerovalent iron, graphene oxide, activated carbon, and biocomposites has improved the removal of turbidity, pathogens, heavy metals, pesticides, pharmaceuticals, and emerging contaminants, including antibiotic resistance genes. Advancements in molecular biology tools, flux modeling, and system analysis have enhanced understanding of the mechanisms underlying SSF performance. Implementation across rural, urban, and industrial contexts demonstrates SSF's versatility, though operational challenges persist. However, significant knowledge gaps remain, particularly regarding nutrient removal efficiency, long-term performance, scalability, and the absence of standardized operational protocols. In any case, SSF is emerging as a flexible and multifunctional water treatment platform. Future research should prioritize long-term field validation, economic assessment, and process optimization to enable sustainable large-scale implementation.

Identifiers

PMID42495413
PMCPMC13393020

What Socratic 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 Socratic graph.