Dehghani Parisa, Karthikeyan Vaithinathan, Tajabadi Ataollah, Assi Dani S, Catchpole Anthony, Wadsworth John, Leung Hing Y, Roy Vellaisamy A L
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.
Scottish Trace Element and Micronutrient Diagnostic and Research Laboratory, Department of Biochemistry, Royal Infirmary, Glasgow G31 2ER, U.K.
ACS Omega. 2024 Mar 15;9(12):14580-14591. doi: 10.1021/acsomega.4c00843. eCollection 2024 Mar 26.
With the global escalation of concerns surrounding prostate cancer (PCa) diagnosis, reliance on the serologic prostate-specific antigen (PSA) test remains the primary approach. However, the imperative for early PCa diagnosis necessitates more effective, accurate, and rapid diagnostic point-of-care (POC) devices to enhance the result reliability and minimize disease-related complications. Among POC approaches, electrochemical biosensors, known for their amenability and miniaturization capabilities, have emerged as promising candidates. In this study, we developed an impedimetric sensing platform to detect urinary zinc (UZn) in both artificial and clinical urine samples. Our approach lies in integrating label-free impedimetric sensing and the introduction of porosity through surface modification techniques. Leveraging a cellulose acetate/reduced graphene oxide composite, our sensor's recognition layer is engineered to exhibit enhanced porosity, critical for improving the sensitivity, capture, and interaction with UZn. The sensitivity is further amplified by incorporating zincon as an external dopant, establishing highly effective recognition sites. Our sensor demonstrates a limit of detection of 7.33 ng/mL in the 0.1-1000 ng/mL dynamic range, which aligns with the reference benchmark samples from clinical biochemistry. Our sensor results are comparable with the results of inductively coupled plasma mass spectrometry (ICP-MS) where a notable correlation of 0.991 is achieved. To validate our sensor in a real-life scenario, tests were performed on human urine samples from patients being investigated for prostate cancer. Testing clinical urine samples using our sensing platform and ICP-MS produced highly comparable results. A linear correlation with = 0.964 with no significant difference between two groups (-value = 0.936) was found, thus confirming the reliability of our sensing platform.
随着全球对前列腺癌(PCa)诊断的关注度不断提高,依赖血清前列腺特异性抗原(PSA)检测仍然是主要方法。然而,早期PCa诊断的迫切需求需要更有效、准确和快速的即时诊断(POC)设备,以提高结果的可靠性并尽量减少与疾病相关的并发症。在POC方法中,以其适应性和小型化能力而闻名的电化学生物传感器已成为有前途的候选者。在本研究中,我们开发了一种阻抗传感平台,用于检测人工尿液和临床尿液样本中的尿锌(UZn)。我们的方法在于将无标记阻抗传感与通过表面改性技术引入孔隙率相结合。利用醋酸纤维素/还原氧化石墨烯复合材料,我们传感器的识别层经过设计,具有增强的孔隙率,这对于提高与UZn的灵敏度、捕获和相互作用至关重要。通过加入锌试剂作为外部掺杂剂进一步放大灵敏度,建立高效的识别位点。我们的传感器在0.1 - 1000 ng/mL动态范围内的检测限为7.33 ng/mL,这与临床生物化学的参考基准样本一致。我们传感器的结果与电感耦合等离子体质谱(ICP - MS)的结果相当,两者之间的显著相关性达到0.991。为了在实际场景中验证我们的传感器,对正在接受前列腺癌检查的患者的人类尿液样本进行了测试。使用我们的传感平台和ICP - MS对临床尿液样本进行测试产生了高度可比的结果。发现两者之间的线性相关性为 = 0.964,两组之间无显著差异(-值 = 0.936),从而证实了我们传感平台的可靠性。