Rapid, low-cost determination of Hg2+, Cu2+, and Fe3+ using a cellulose paper-based sensor and UV–vis method with silver nanoparticles synthesized with S. mammosum

IF 5.4 Q1 CHEMISTRY, ANALYTICAL Sensing and Bio-Sensing Research Pub Date : 2024-08-01 DOI:10.1016/j.sbsr.2024.100680
Fernanda Pilaquinga , Jeroni Morey , Paulino Duel , Gabriela S. Yánez-Jácome , Esthefanía Chuisaca-Londa , Karen Guzmán , Jazel Caiza , Melanny Tapia , Alexis Debut , Karla Vizuete , María de las Nieves Piña
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Abstract

As water effluents are often highly contaminated with metals, having a quick and cost-effective method of analysis is crucial. This study used the supernatant derived from the green synthesis of silver nanoparticles (AgNPs) with Solanum mammosum to detect mercury, copper, and iron with a low-cost cellulose paper-based sensor and a rapid colorimetric method applying ultraviolet–visible spectroscopy (UV–Vis). AgNPs in two precursor concentrations using silver nitrate, 1 mM (17.4 ± 9 nm) and 50 mM (and 22 ± 8.1 nm), were utilized to assess the efficacy of the analysis and removal of Hg2+, Cu2+, and Fe3+ from contaminated water. Cellulose paper-based sensor showed limits of detection (LODs) for Hg2+ of 2.46 and 123 μM using AgNPs at concentrations of 1 and 50 mM, respectively. For Cu2+, the LODs were 55 and 2750 μM, and for Fe3+, the LODs were 49  and 2470 μM using the respective concentrations. To differentiate and detect the cations with the naked eye, a potassium iodide and potassium ferrocyanide (1:1) aqueous solution was used, producing a yellow, pink, and blue color for Hg2+, Cu2+, and Fe3+, respectively. Additionally, the titration curves of Hg2+, Fe3+, and Cu2+ were examined by UV–Vis using the supernatant liquid. The LODs for the UV–Vis method using AgNPs at a concentration of 1 mM were 1.50 μM for Hg2+, 10.7 μM for Cu2+, and 4.33 μM for Fe3+, while the LODs for AgNPs at 50 mM were 5.75, 27.6, and 15 μM for Hg2+, Cu2+, and Fe3+, respectively. Furthermore, these nanoparticles were utilized to assess the efficacy of the removal of Hg2+, Cu2+, and Fe3+ from contaminated water. Removal efficiency with the solid 50 mM AgNPs was analyzed via flame absorption spectrophotometry; values over 95% were obtained for the three ions. The results underscore the effectiveness of a green synthesis approach to generating AgNPs, enabling efficient and economical cation analysis and water decontamination.

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使用纤维素纸基传感器和紫外-可见光法,结合用 S. mammosum 合成的银纳米粒子,快速、低成本地测定 Hg2+、Cu2+ 和 Fe3+
由于废水通常受到严重的金属污染,因此拥有一种快速、经济有效的分析方法至关重要。本研究利用茄属植物绿色合成银纳米粒子(AgNPs)的上清液,采用低成本的纤维素纸传感器和紫外可见光谱(UV-Vis)快速比色法检测汞、铜和铁。利用硝酸银制成的两种前体浓度的 AgNPs:1 mM(17.4 ± 9 nm)和 50 mM(22 ± 8.1 nm),评估了从受污染的水中分析和去除 Hg2+、Cu2+ 和 Fe3+ 的效果。使用浓度为 1 mM 和 50 mM 的 AgNPs,纤维素纸基传感器对 Hg2+ 的检测限(LOD)分别为 2.46 μM 和 123 μM。对 Cu2+ 的检测限分别为 55 和 2750 μM,对 Fe3+ 的检测限分别为 49 和 2470 μM。为了用肉眼区分和检测阳离子,使用了碘化钾和亚铁氰化钾(1:1)水溶液,Hg2+、Cu2+ 和 Fe3+ 分别呈现黄色、粉红色和蓝色。此外,还使用上清液通过紫外可见光检测了 Hg2+、Fe3+ 和 Cu2+ 的滴定曲线。使用浓度为 1 mM 的 AgNPs 进行 UV-Vis 法检测时,Hg2+、Cu2+ 和 Fe3+ 的检测限分别为 1.50 μM、10.7 μM 和 4.33 μM,而使用浓度为 50 mM 的 AgNPs 检测时,Hg2+、Cu2+ 和 Fe3+ 的检测限分别为 5.75、27.6 和 15 μM。此外,还利用这些纳米粒子评估了从受污染的水中去除 Hg2+、Cu2+ 和 Fe3+ 的功效。通过火焰吸收分光光度法分析了 50 mM AgNPs 固体的去除效率;三种离子的去除率均超过 95%。研究结果表明,绿色合成方法能有效生成 AgNPs,从而实现高效、经济的阳离子分析和水污染净化。
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来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
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