Evidence map›Paper›PMID 41510062›Full record

ArticleTurkish journal of chemistry2025

Synthesis of biogenic silver nanoparticles from apricot kernel extracts for the colorimetric determination of gold.

Ayça Girgin, Hilal Akbiyik, Buse Tuğba Zaman, Omid Nejati, Ayça Bal Öztürk, Gülten Çetin, Sezgin Bakirdere

Abstract read
In one paragraph

Article in Turkish journal of chemistry, 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

7 authors.

Ayça GirginDepartment of Chemistry, Faculty of Arts and Science, Yıldız Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-9469-2084
Hilal AkbiyikDepartment of Chemistry, Faculty of Arts and Science, Yıldız Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-5053-4156
Buse Tuğba ZamanDepartment of Chemistry, Faculty of Arts and Science, Yıldız Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-0542-1050
Omid NejatiInstitute of Health Sciences, Department of Stem Cell and Tissue Engineering, Institute of Health Sciences, İstinye University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-4983-9280
Ayça Bal ÖztürkInstitute of Health Sciences, Department of Stem Cell and Tissue Engineering, Institute of Health Sciences, İstinye University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-6502-528X
Gülten ÇetinDepartment of Chemistry, Faculty of Arts and Science, Yıldız Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-6574-6004
Sezgin BakirdereDepartment of Chemistry, Faculty of Arts and Science, Yıldız Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0001-9746-3682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gold is abundant in nature, however, precise and reliable analytical methods for its detection are required stemming from its increasing prevalence in environmental, biological, and industrial systems, as well as the growing interest in understanding its function in living organisms and its effects on human health. This study investigates the use of biogenically synthesized silver nanoparticles (AgNPs) for the preconcentration and determination of gold ions prior to determination by UV-Vis spectrophotometry. AgNPs were synthesized by reducing silver nitrate through the use of an apricot kernel extract as both reducer and stabilizer agent. The colloidal yellowish AgNPs interacted with gold ions, leading to a distinct color change and a considerable decrease in the surface plasmon resonance (SPR) intensity at 415 nm in the UV-Vis absorption band, indicating a highly sensitive and selective colorimetric detection of gold ions. Under optimized conditions, the proposed method achieved satisfactory limit of detection (LOD) and limit of quantification (LOQ) values of 2.9 and 9.7 mg/L, respectively. A matrix matching calibration strategy was used to enhance quantification accuracy, resulting in satisfactory percent recoveries from waste mud samples (88-112%). Overall, the results validated the developed method as a green, simple, rapid, and accurate analytical approach to the determination of gold.

Indexed as

biogenic silver nanoparticlescolorimetric sensorGoldspectrophotometryUV-Vis spectrophotometer

Identifiers

PMID41510062
PMCPMC12779078

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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.