Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid
We introduce an innovative approach to enhance the quantification of the pesticide imidacloprid (IMD) using square wave voltammetry (SWV) with a mercury drop electrode (HMDE). Through systematic factorial designs, we meticulously adjusted both the chemical and instrumental parameters of SWV, with a...
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Format: | Article |
Language: | English |
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Elsevier
2024-01-01
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Series: | Results in Chemistry |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211715624001760 |
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author | Jessica Moreno Betancourth Valeria Pfaffen |
author_facet | Jessica Moreno Betancourth Valeria Pfaffen |
author_sort | Jessica Moreno Betancourth |
collection | DOAJ |
description | We introduce an innovative approach to enhance the quantification of the pesticide imidacloprid (IMD) using square wave voltammetry (SWV) with a mercury drop electrode (HMDE). Through systematic factorial designs, we meticulously adjusted both the chemical and instrumental parameters of SWV, with a particular focus on optimizing the peak reduction current. Using response surface methodology (RSM) provided comprehensive insights into the system behavior. The optimal conditions were found at a pH of IMD solution of 7.45, Accumulation Potential (Eacc) of −0.70 V, Accumulation Time (tacc) of 46.45 s, Frequency (F) of 200 Hz, Amplitude (Esw) of 0.090 V, and Step (dE) of 0.0080 V. With these optimized parameters, we constructed a calibration curve spanning a concentration range from 0.5 to 5.0 × 10-7 mol/L. The method exhibited a remarkably low limit of detection (LOD) at 3.65 × 10-8 mol/L and a limit of quantification (LOQ) of 5.01 × 10-8 mol/L. Subsequently, we rigorously assessed the methodology's effectiveness by quantifying IMD in various water samples from the Córdoba area, achieving consistently near 100 % recovery values. |
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format | Article |
id | doaj.art-31d6d813c1474c9aa4afa030df87b413 |
institution | Directory Open Access Journal |
issn | 2211-7156 |
language | English |
last_indexed | 2024-04-24T13:50:11Z |
publishDate | 2024-01-01 |
publisher | Elsevier |
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series | Results in Chemistry |
spelling | doaj.art-31d6d813c1474c9aa4afa030df87b4132024-04-04T05:04:08ZengElsevierResults in Chemistry2211-71562024-01-017101480Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidaclopridJessica Moreno Betancourth0Valeria Pfaffen1INFIQC–CONICET and Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, ArgentinaCorresponding author.; INFIQC–CONICET and Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, ArgentinaWe introduce an innovative approach to enhance the quantification of the pesticide imidacloprid (IMD) using square wave voltammetry (SWV) with a mercury drop electrode (HMDE). Through systematic factorial designs, we meticulously adjusted both the chemical and instrumental parameters of SWV, with a particular focus on optimizing the peak reduction current. Using response surface methodology (RSM) provided comprehensive insights into the system behavior. The optimal conditions were found at a pH of IMD solution of 7.45, Accumulation Potential (Eacc) of −0.70 V, Accumulation Time (tacc) of 46.45 s, Frequency (F) of 200 Hz, Amplitude (Esw) of 0.090 V, and Step (dE) of 0.0080 V. With these optimized parameters, we constructed a calibration curve spanning a concentration range from 0.5 to 5.0 × 10-7 mol/L. The method exhibited a remarkably low limit of detection (LOD) at 3.65 × 10-8 mol/L and a limit of quantification (LOQ) of 5.01 × 10-8 mol/L. Subsequently, we rigorously assessed the methodology's effectiveness by quantifying IMD in various water samples from the Córdoba area, achieving consistently near 100 % recovery values.http://www.sciencedirect.com/science/article/pii/S2211715624001760Hanging mercury drop electrodeImidaclopridSquare wave voltammetryResponse surface methodology for process optimizationAnalytical performanceStatistical modeling |
spellingShingle | Jessica Moreno Betancourth Valeria Pfaffen Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid Results in Chemistry Hanging mercury drop electrode Imidacloprid Square wave voltammetry Response surface methodology for process optimization Analytical performance Statistical modeling |
title | Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
title_full | Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
title_fullStr | Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
title_full_unstemmed | Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
title_short | Response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
title_sort | response surface methodology optimization for enhancing the analytical performance of a hanging mercury drop electrode for imidacloprid |
topic | Hanging mercury drop electrode Imidacloprid Square wave voltammetry Response surface methodology for process optimization Analytical performance Statistical modeling |
url | http://www.sciencedirect.com/science/article/pii/S2211715624001760 |
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