Evidence map›Paper›PMID 42540287›Full record

ArticleACS omega2026

Fluorescent Carbon Dots from Cassava Peel Biomass for Enhanced Latent Fingerprint Visualization.

Chanathip Amonthamsatid, Kamonvit Kanjanataveelap, Khunthong Klaythong, Kitima Sirivibulkovit, Phoonthawee Saetear, Thinnapong Wongpakdee

Abstract read
In one paragraph

Article 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

6 authors.

Chanathip AmonthamsatidPrincess Chulabhorn Science High School Pathum Thani, Pathum Thani 12140, Thailand.
Kamonvit KanjanataveelapPrincess Chulabhorn Science High School Pathum Thani, Pathum Thani 12140, Thailand.
Khunthong KlaythongPrincess Chulabhorn Science High School Pathum Thani, Pathum Thani 12140, Thailand.
Kitima SirivibulkovitDepartment of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok 10400, Thailand.
Phoonthawee SaetearDepartment of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok 10400, Thailand.
Thinnapong WongpakdeeSchool of Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID https://orcid.org/0009-0006-0321-2123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latent fingerprint (LFP) visualization requires effective strategies to enhance ridge contrast on nonporous substrates. In this work, fluorescent carbon dots (CDs) derived from cassava peel biomass were synthesized via rapid microwave-assisted pyrolysis (360 W, 9 min) and evaluated for LFP visualization. The CDs exhibited strong blue emission at 470 nm under 365 nm excitation with a quantum yield of 31.0%. To enable practical application, the CDs were incorporated into a small particle reagent (SPR) formulation for fingerprint development. The resulting CDs-SPR system enabled clear fluorescence-assisted ridge visualization on glass substrates, with SPR serving as a particle-adhesion matrix and CDs providing the fluorescence signal. A minutiae-based evaluation demonstrated comparable or enhanced fingerprint visualization performance under UV illumination, with good repeatability across tested conditions. The method also offers rapid processing, low background interference, and operational simplicity. These results highlight the potential of biomass-derived CDs as sustainable fluorescent materials for latent fingerprint visualization.

Identifiers

PMID42540287
PMCPMC13425466

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Registered trials

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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.