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The study employs green chemistry principles to analyze copper levels in wastewater, utilizing Ion Selective Electrode Nano Coated (CG-CuO-NPs) produced with a solution derived from mint leaves as a nanomaterial. Characterization via SEM, AFM, IR techniques, and XRD confirms the ion-selective electrode coating. Key findings include optimal pH 6–8, temperature 20–30 °C, and time 10–85 s. The calibration curve exhibits linear behavior 10–1 to 10–7 mg/L with a slope equal to −28.893 and R2 = 0.9972. The detection limit is determined as 8.655 × 10–11 M, with an electrode lifespan of 54 days and recovery rates ranging from 96 to 100% for concentrations 10–2, 10–3, and 10–4 mg/L. Selectivity testing confirms the electrode's selectivity to copper ions, with no interference from elements like zinc, potassium, sulfate, lead, calcium, and manganese. Application of an industrial water model via the standard addition method yields a correlation coefficient of 0.9997 and a recovery rate of 97%.

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Green Synthesis of Ion Selective Electrode Nano Coated with Mint Leaf Extract for Efficient Copper Analysis in Wastewater

  • 会议论文

  • 发表日期：

    2026年

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  • Azeez Salih Aziz Ajumaily,
  • Shatha Y. Al-Samarrai,
  • Mustafa Saadi Mahmood,
  • Anas Y. Al-Hayawi

摘要

The study employs green chemistry principles to analyze copper levels in wastewater, utilizing Ion Selective Electrode Nano Coated (CG-CuO-NPs) produced with a solution derived from mint leaves as a nanomaterial. Characterization via SEM, AFM, IR techniques, and XRD confirms the ion-selective electrode coating. Key findings include optimal pH 6–8, temperature 20–30 °C, and time 10–85 s. The calibration curve exhibits linear behavior 10–1 to 10–7 mg/L with a slope equal to −28.893 and R2 = 0.9972. The detection limit is determined as 8.655 × 10–11 M, with an electrode lifespan of 54 days and recovery rates ranging from 96 to 100% for concentrations 10–2, 10–3, and 10–4 mg/L. Selectivity testing confirms the electrode's selectivity to copper ions, with no interference from elements like zinc, potassium, sulfate, lead, calcium, and manganese. Application of an industrial water model via the standard addition method yields a correlation coefficient of 0.9997 and a recovery rate of 97%.