Evidence map›Paper›PMID 41427237›Full record

ArticleACS omega2025

Sustainable Geothermal Silica Quantum Dots Synthesized via Acid-Base Hydrothermal Method for Selective Melanoma Theranostics and Bioimaging.

Novi Irmania, Solihin Solihin, A'liyatur Rosyidah, Dito Anurogo, Farizal Hakiki

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

5 authors.

Novi IrmaniaNational Research and Innovation Agency (BRIN), Research Center for Geological Resources, Bandung 40135, Indonesia.
Solihin SolihinNational Research and Innovation Agency (BRIN), Research Center for Geological Resources, Bandung 40135, Indonesia.ORCID https://orcid.org/0000-0003-4571-5811
A'liyatur RosyidahNational Research and Innovation Agency (BRIN), Research Center for Vaccine and Drug, Bogor 16911, Indonesia.ORCID https://orcid.org/0000-0001-8427-4364
Dito AnurogoUniversitas Muhammadiyah Makassar, Faculty of Medicine and Health Sciences, Makassar 90221, Indonesia.
Farizal HakikiNational Yang Ming Chiao Tung University, Civil Engineering Department, Hsinchu 300, Taiwan.ORCID https://orcid.org/0000-0001-6279-6321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the synthesis and characterization of silica quantum dots (silica QDs) derived from geothermal-waste silica sourced from the Dieng Geothermal Field, Central Java Province, Indonesia. It supports green chemistry by converting abundant waste into valuable nanomaterials, contributing to sustainable energy and material recovery. Characterization using field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM), and dynamic light scattering (DLS) confirms the formation of spherical silica QDs with a uniform size distribution between 2-5 nm, averaging 3 nm. A zeta potential of -28 mV indicates strong colloidal stability in both suspension and biological media. Silica QDs exhibit excitation-dependent photoluminescence with a 20% quantum yield, making them suitable for applications such as bioimaging and photoresponsive drug delivery. In vitro results show selective cytotoxicity against B16F0 melanoma cells while sparing NIH3T3 normal fibroblasts, indicating biocompatibility and potential for targeted therapy. These findings reveal the dual role of silica QDs as diagnostic and therapeutic tools. This work reinforces the link between sustainable nanomaterial synthesis and biomedical innovation, illustrating how waste-to-resource strategies can drive advances in nanomedicine.

Identifiers

PMID41427237
PMCPMC12713495

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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.