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<p>Hydrazine, a volatile organic compound (VOC) widely used in various industries, has been found to have irreparable and severe effects on the human body. Therefore, identification and detection of hydrazine as one of the human carcinogens effect is an important topic. Herein, we prepared a simple, sensitive, low-cost and repeatable paper sensor based on metal organic framework (MOF). Copper (II) benzene-1,3,5- tricarboxylate (Cu-BTC) due to having high density of copper (II) ions and have the ability to coordinate with small molecules, is immobilized directly on conventional A4 paper through immersion in a suitable solvent. Scanning electron microscopy (SEM) was used to characterize paper sensor. The result showed Cu-BTC sensor has great affinity to hydrazine than the other VOCs groups such as alcohols, aldehydes and ketones. Parameters such as pH, time and temperature are optimized, because these parameters impact sensor performance. The proposed method could significantly classify different amine species with high accuracy (error rate = 0.00) in a simple and fast method. The calibration curve showed good linearity range from 20 to 1000 mg L<sup>− 1</sup> with limit of detection 7.2 ± 0.2 mg L<sup>− 1</sup> for hydrazine. Finally, it was successfully applied to the determination of hydrazine in municipal wastewater.</p>

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An optical nose based on a single metal−organic framework for discrimination of amines and quantitation of hydrazine

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Somayeh Karimi,
  • Sara Mostafapour,
  • Mohammad Saraji,
  • Akbar Malekpour,
  • Bahram Hemmateenejad

摘要

Hydrazine, a volatile organic compound (VOC) widely used in various industries, has been found to have irreparable and severe effects on the human body. Therefore, identification and detection of hydrazine as one of the human carcinogens effect is an important topic. Herein, we prepared a simple, sensitive, low-cost and repeatable paper sensor based on metal organic framework (MOF). Copper (II) benzene-1,3,5- tricarboxylate (Cu-BTC) due to having high density of copper (II) ions and have the ability to coordinate with small molecules, is immobilized directly on conventional A4 paper through immersion in a suitable solvent. Scanning electron microscopy (SEM) was used to characterize paper sensor. The result showed Cu-BTC sensor has great affinity to hydrazine than the other VOCs groups such as alcohols, aldehydes and ketones. Parameters such as pH, time and temperature are optimized, because these parameters impact sensor performance. The proposed method could significantly classify different amine species with high accuracy (error rate = 0.00) in a simple and fast method. The calibration curve showed good linearity range from 20 to 1000 mg L− 1 with limit of detection 7.2 ± 0.2 mg L− 1 for hydrazine. Finally, it was successfully applied to the determination of hydrazine in municipal wastewater.