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

**Authors:** Ayça GİRGİN, Hilal AKBIYIK, Buse Tuğba ZAMAN, Omid NEJATI, Ayça BAL ÖZTÜRK, Gülten ÇETİN, Sezgin BAKIRDERE

PMC · DOI: 10.55730/1300-0527.3768 · 2025-08-18

## TL;DR

This paper presents a green method to detect gold using silver nanoparticles made from apricot kernel extracts, which change color when gold is present.

## Contribution

A novel green analytical method for gold detection using biogenic silver nanoparticles synthesized from apricot kernel extract.

## Key findings

- The method achieved a detection limit of 2.9 mg/L and quantification limit of 9.7 mg/L for gold ions.
- The colorimetric method showed recoveries of 88–112% in waste mud samples using matrix matching calibration.
- The method is green, simple, rapid, and accurate for gold determination.

## 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.

## Linked entities

- **Chemicals:** silver nitrate (PubChem CID 24470)

## Full-text entities

- **Chemicals:** silver nitrate (MESH:D012835), AgNPs (-), Gold (MESH:D006046)
- **Species:** Prunus armeniaca (apricot, species) [taxon 36596], Homo sapiens (human, species) [taxon 9606]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12779078/full.md

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Source: https://tomesphere.com/paper/PMC12779078