Evidence map›Paper›PMID 42555415›Full record

ArticleRSC advances2026

Sustainable synthesis of molecularly imprinted polymers using leuco fuchsin for selective detection of formaldehyde in food.

Meyliana Wulandari, Muhammad Al Faqih Fiddin, Dieta Putri Ayuserani, Rosi Fitri Ramadani, Syabina Khaila Aliffa, Nofrizal, Andreas, Pandian Bothi Raja, Thomas Nesakumar Jebakumar Immanuel Edison

Abstract read
In one paragraph

Article in RSC advances, 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

9 authors.

Meyliana WulandariDepartment of Chemistry, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta 13220 Indonesia.ORCID https://orcid.org/0000-0002-1257-4322
Muhammad Al Faqih FiddinDepartment of Chemistry, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta 13220 Indonesia.
Dieta Putri AyuseraniDepartment of Chemistry, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta 13220 Indonesia.
Rosi Fitri RamadaniDepartment of Biology, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta 13220 Indonesia.ORCID https://orcid.org/0000-0001-6921-0100
Syabina Khaila AliffaDepartment of Chemistry, Faculty of Science and Technology, State Islamic University (UIN) Syarif Hidyatullah Jakarta Ciputat Banten 15412 Indonesia.
NofrizalMinistry of Energy and Mineral Resources - Lemigas Jl. Ciledug Raya Kavling. 109 Jakarta 12230 Indonesia.ORCID https://orcid.org/0000-0003-1902-2149
AndreasBadan Riset dan Inovasi Nasional South Tangerang 15314 Indonesia.
Pandian Bothi RajaSchool of Chemical Sciences, Universiti Sains Malaysia, Gelugor, Penang 11800 Malaysia.
Thomas Nesakumar Jebakumar Immanuel EdisonSethu Research and Innovation Centre (SRIC), Department of Chemistry, Sethu Institute of Technology Kariapatti 626115 Tamil Nadu India.ORCID https://orcid.org/0000-0003-4617-1385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formalin (aqueous formaldehyde) is a well-documented human carcinogen often used as an illegal food preservative. The World Health Organization (WHO) limits the daily intake of formalin to 1.5-14 mg for adults. Higher dosages of formalin can cause death by throat swelling or lung burning. Hence, the need for an instant, selective, and sensitive method for detecting formalin is clear. The present work discusses the efficient synthesis of silica-supported molecularly imprinted polymers (SiO

Identifiers

PMID42555415
PMCPMC13344875

What Socratic holds

Textmetadata
LicenceCC BY
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.