A facile smartphone-based digital image colorimetric sensor for the determination of tetracyclines in water using natural phenolic compounds induced to grow gold nanoparticles

A cost-effective smartphone-based digital image colorimetric sensor was developed to determine tetracyclines by inducing <i>in situ</i> growth of gold nanoparticles using naturally occurring phenolic compounds derived from para rubber tree bark waste. The green intensity of the purple-red product was measured using smartphone-based digital image analysis. Under optimal conditions, the calibration graph exhibited linearity within the range 0.05 to 0.50 μg mL<sup>-1</sup>, with a coefficient of determination (<i>R</i> <sup>2</sup>) of 0.9940. The limits of detection (LOD) and limits of quantitation (LOQ) were 15 and 50 ng mL<sup>-1</sup>, respectively, with levels of precision for intraday and interday less than 3.91% and 4.59%, respectively. The proposed method was effectively validated to determine the spiked tetracycline antibiotics in water samples, achieving a high relative recovery rate ranging from 86.4% to 114.4%. Our method is facile, convenient, dependable, and verifiable as an alternate procedure for measuring tetracycline levels in water.

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Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra00091b
Citations
4
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
2.70

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article

A facile smartphone-based digital image colorimetric sensor for the determination of tetracyclines in water using natural phenolic compounds induced to grow gold nanoparticles

Chang Young Lee, Phoonthawee Saetear, Kraingkrai Ponhong, Sam-ang Supharoek et al.
4 citations
RSC Advances
Biosensors and Analytical Detection
2.70
article

A facile smartphone-based digital image colorimetric sensor for the determination of tetracyclines in water using natural phenolic compounds induced to grow gold nanoparticles

Chang Young Lee, Phoonthawee Saetear, Kraingkrai Ponhong, Sam-ang Supharoek, Worapan Kusakunniran, Tammanoon Nilnit
article en
4 citations

Abstract

A cost-effective smartphone-based digital image colorimetric sensor was developed to determine tetracyclines by inducing <i>in situ</i> growth of gold nanoparticles using naturally occurring phenolic compounds derived from para rubber tree bark waste. The green intensity of the purple-red product was measured using smartphone-based digital image analysis. Under optimal conditions, the calibration graph exhibited linearity within the range 0.05 to 0.50 μg mL<sup>-1</sup>, with a coefficient of determination (<i>R</i> <sup>2</sup>) of 0.9940. The limits of detection (LOD) and limits of quantitation (LOQ) were 15 and 50 ng mL<sup>-1</sup>, respectively, with levels of precision for intraday and interday less than 3.91% and 4.59%, respectively. The proposed method was effectively validated to determine the spiked tetracycline antibiotics in water samples, achieving a high relative recovery rate ranging from 86.4% to 114.4%. Our method is facile, convenient, dependable, and verifiable as an alternate procedure for measuring tetracycline levels in water.

RSC AdvancesVol. 15(11)
Mahasarakham University (TH), Mahidol University (TH), Ulsan National Institute of Science and Technology (KR)
Mahidol University, Mahasarakham University, Ministry of Higher Education, Science, Research and Innovation, Thailand
Openalex Percentile: Top 11%
Biosensors and Analytical Detection
2.70
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A facile smartphone-based digital image colorimetric sensor for the determination of tetracyclines in water using natural phenolic compounds induced to grow gold nanoparticles — Chang Young Lee, Phoonthawee Saetear, et al. · RSC Advances (2025) | TGRS Research Map | TGRS