Sustainability analysis of RP-UPLC for detecting antidiabetic traces in wastewater: a focus on six sigma

Pharmaceutical residues, including antidiabetic compounds, are increasingly detected in wastewater, raising environmental and public health concerns. RP-UPLC offers high sensitivity and efficiency for detecting these contaminants. However, its environmental impact and quality control require further evaluation. This study applies Six Sigma principles to enhance the analytical performance and sustainability of RP-UPLC in detecting three antidiabetic agents: empagliflozin (EMG), dapagliflozin (DGF), and metformin (MTF). The method utilizes a UPLC BEH C18 column (0.21 cm × 5 cm, 1.7 µm), with a flow rate of 0.4 mL/min, 0.8 µL injection volume, 25°C column temperature, and 255 nm detection wavelength. An isocratic mobile phase of phosphate buffer and ethanol (75:25, pH 4.6) was employed. Six Sigma tools were used to optimize sensitivity, reproducibility, and environmental impact. The refined RP-UPLC method achieved high detection accuracy while reducing waste and resource use. This study demonstrates how Six Sigma can complement advanced chromatographic techniques to improve the reliability and sustainability of environmental monitoring. The findings support eco-conscious strategies for addressing pharmaceutical pollution in wastewater, contributing to more effective and responsible analytical practices.

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Publication Details

Journal
Green Chemistry Letters and Reviews
Published
2025-09-05
DOI
https://doi.org/10.1080/17518253.2025.2549735
Citations
3
Primary Topic
Analytical Methods in Pharmaceuticals
Type
article
Field-Weighted Citation Impact
2.26
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article

Sustainability analysis of RP-UPLC for detecting antidiabetic traces in wastewater: a focus on six sigma

Mahmoud A. Mohamed, Ghadah M. Al‐Senani, Salhah D. Al‐Qahtani, Hoda A. Ahmed et al.
3 citations
Green Chemistry Letters and Reviews
Analytical Methods in Pharmaceuticals
2.26
article

Sustainability analysis of RP-UPLC for detecting antidiabetic traces in wastewater: a focus on six sigma

Mahmoud A. Mohamed, Ghadah M. Al‐Senani, Salhah D. Al‐Qahtani, Hoda A. Ahmed, Noha S. Katamesh
article en
3 citations

Abstract

Pharmaceutical residues, including antidiabetic compounds, are increasingly detected in wastewater, raising environmental and public health concerns. RP-UPLC offers high sensitivity and efficiency for detecting these contaminants. However, its environmental impact and quality control require further evaluation. This study applies Six Sigma principles to enhance the analytical performance and sustainability of RP-UPLC in detecting three antidiabetic agents: empagliflozin (EMG), dapagliflozin (DGF), and metformin (MTF). The method utilizes a UPLC BEH C18 column (0.21 cm × 5 cm, 1.7 µm), with a flow rate of 0.4 mL/min, 0.8 µL injection volume, 25°C column temperature, and 255 nm detection wavelength. An isocratic mobile phase of phosphate buffer and ethanol (75:25, pH 4.6) was employed. Six Sigma tools were used to optimize sensitivity, reproducibility, and environmental impact. The refined RP-UPLC method achieved high detection accuracy while reducing waste and resource use. This study demonstrates how Six Sigma can complement advanced chromatographic techniques to improve the reliability and sustainability of environmental monitoring. The findings support eco-conscious strategies for addressing pharmaceutical pollution in wastewater, contributing to more effective and responsible analytical practices.

Green Chemistry Letters and ReviewsVol. 18(1)
Princess Nourah bint Abdulrahman University (SA), Yanbu University College (SA), Cairo University (EG), Al-Azhar University (EG), Taibah University (SA), Hikma Pharmaceuticals (United Kingdom) (GB), Al-Azhar University (ID)
Openalex Percentile: Top 12%
Analytical Methods in Pharmaceuticals
2.26
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Sustainability analysis of RP-UPLC for detecting antidiabetic traces in wastewater: a focus on six sigma — Mahmoud A. Mohamed, Ghadah M. Al‐Senani, et al. · Green Chemistry Letters and Reviews (2025) | TGRS Research Map | TGRS