<p>In this study, citrate-modified Ag (AgNPs@Cit) plasmonic nanoparticles were synthesized and characterized using UV–visible spectrophotometry and transmission electron microscopy (TEM). Subsequently, a microfluidic kit was developed for the colorimetric point of care (POC) detection of Cr<sup>3+</sup> based on the color change of AgNPs@Cit solution from yellow to red in the presence of Cr<sup>3+</sup> ions. The experimental parameters were optimized using a central composite experimental design, and the interactions between operational factors were thoroughly examined. Under optimum conditions (flow rate: 0.04 mL/min, flow path length: 9.65 cm, and pH = 7.6), a linear relationship was established between the red component of RGB pixels of the analyzed images captured by a smartphone and the concentration of Cr<sup>3+</sup> within the range of 1.00–35.00 µmol L<sup>−1</sup>. The proposed method exhibited a detection limit of 0.33 µmol L<sup>−1</sup>. The selectivity of the developed microfluidic kit was evaluated, and no significant interference was observed. Furthermore, the applicability of the suggested microfluidic kit for the determination of Cr<sup>3+</sup> in five different drinking water samples was successfully demonstrated, with calculated recovery values falling within the range of 96.2–106.4%.</p>

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Rapid, simple and highly selective determination of Chromium(III) in aqueous samples by a microfluidic cell coupled to a smartphone-based colorimetric-sensing detector

  • Bahareh Moradifar,
  • Abbas Afkhami,
  • Tayyebeh Madrakian,
  • Mohammad Reza Jalali Sarvestani,
  • Sina Khalili

摘要

In this study, citrate-modified Ag (AgNPs@Cit) plasmonic nanoparticles were synthesized and characterized using UV–visible spectrophotometry and transmission electron microscopy (TEM). Subsequently, a microfluidic kit was developed for the colorimetric point of care (POC) detection of Cr3+ based on the color change of AgNPs@Cit solution from yellow to red in the presence of Cr3+ ions. The experimental parameters were optimized using a central composite experimental design, and the interactions between operational factors were thoroughly examined. Under optimum conditions (flow rate: 0.04 mL/min, flow path length: 9.65 cm, and pH = 7.6), a linear relationship was established between the red component of RGB pixels of the analyzed images captured by a smartphone and the concentration of Cr3+ within the range of 1.00–35.00 µmol L−1. The proposed method exhibited a detection limit of 0.33 µmol L−1. The selectivity of the developed microfluidic kit was evaluated, and no significant interference was observed. Furthermore, the applicability of the suggested microfluidic kit for the determination of Cr3+ in five different drinking water samples was successfully demonstrated, with calculated recovery values falling within the range of 96.2–106.4%.