Bordbar Mohammad Mahdi, Nobakht M Gh Fatemeh, Sheini Azarmidokht, Alborz Maryam, Parvin Shahram, Ghanei Mostafa, Kulahlioglu Neslihan, Samadinia Hosein, Bagheri Hasan
Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences Tehran Iran
Department of Chemistry, Technical and Vocational University (TVU) Tehran Iran.
RSC Adv. 2024 Sep 19;14(40):29518-29525. doi: 10.1039/d4ra05461j. eCollection 2024 Sep 12.
To discriminate between different alcoholic, aldehyde, and ester species of urine samples, a colorimetric sensor array consisting of dopamine-capped copper-silver bimetallic nanoparticles (Ag@Cu BMNPs) combined with 12 organic dyes is introduced. Based on the sensing mechanism, the nanozyme catalyzed the reactions of oxidation, dehydrogenation, and hydrolysis of volatile organic compounds. The products could alter the amount of hydronium ions in the detection media, making a variation in the color intensity of pH-sensitive indicators. Also, they could be connected to other organic dyes through nucleophilic/electrophilic or H-bonding interactions in order to form new complexes. The colorimetric responses of the sensor were visible to the naked eye and evaluated by image analysis software, thereby obtaining a unique detection pattern for each sample. The statistical data indicated that the sensor can completely distinguish between compounds with different functional groups. As a practical study, the efficiency of the sensor was investigated for the identification of the war veterans who injured by sulfur mustard in Iran-Iraq war and their differentiation from control people. Based on the output of the assay, the sensor was found to create a special color pattern for each studied group, achieving a total accuracy of 78.0% for this discrimination. The color change of the proposed sensor has a good correlation with the severity of the injury, being independent of the metabolic changes caused by the age of the participants. Accordingly, the fabricated sensor array can be a suitable tool to detect oxygen-containing compounds in environmental or biological samples.
为了区分尿液样本中的不同酒精、醛和酯类物质,引入了一种由多巴胺包覆的铜 - 银双金属纳米颗粒(Ag@Cu BMNPs)与12种有机染料组成的比色传感器阵列。基于传感机制,纳米酶催化挥发性有机化合物的氧化、脱氢和水解反应。产物可改变检测介质中氢离子的数量,使对pH敏感的指示剂颜色强度发生变化。此外,它们可通过亲核/亲电或氢键相互作用与其他有机染料连接,以形成新的配合物。传感器的比色响应肉眼可见,并通过图像分析软件进行评估,从而为每个样本获得独特的检测模式。统计数据表明,该传感器能够完全区分具有不同官能团的化合物。作为一项实际研究,考察了该传感器对在两伊战争中受芥子气伤害的退伍军人进行识别并与对照组人员进行区分的效率。根据检测结果,发现该传感器为每个研究组创建了特殊的颜色模式,此次区分的总准确率达到78.0%。所提出的传感器的颜色变化与损伤严重程度具有良好的相关性,且不受参与者年龄引起的代谢变化影响。因此,所制备的传感器阵列可成为检测环境或生物样本中含氧化合物的合适工具。