Kaewpradub Kanyawee, Veenuttranon Kornautchaya, Jantapaso Husanai, Mittraparp-Arthorn Pimonsri, Jeerapan Itthipon
Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand.
Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand.
Nanomicro Lett. 2024 Nov 26;17(1):71. doi: 10.1007/s40820-024-01561-8.
Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids. Wound diagnosis remains challenging, necessitating suitable materials for high-performance wearable sensors to offer prompt feedback. Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously, which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors. Therefore, improving materials and analysis system accuracy is essential. This article introduces the first example of a flexible array capable of detecting pyocyanin, a bacterial virulence factor, while correcting dynamic pH fluctuations. We demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor response. Customized screen-printable inks were developed to enhance analytical performance. The analytical performances of two sensitive sensor systems (i.e., fully-printed porous graphene/multiwalled carbon nanotube (CNT) and polyaniline/CNT composites for pyocyanin and pH sensors) are evaluated. Partial least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex fluids. This sensitive and effective strategy shows potential for personalized applications due to its affordability, ease of use, and ability to adjust for dynamic pH changes.
可穿戴传感系统旨在通过检测人体生物流体中的分析物来实时监测健康状况。伤口诊断仍然具有挑战性,需要高性能可穿戴传感器的合适材料来提供及时反馈。现有设备在同时测量pH值和pH依赖性电活性物质浓度方面存在局限性,而这对于全面了解伤口状况和优化生物传感器至关重要。因此,提高材料和分析系统的准确性至关重要。本文介绍了第一个能够检测绿脓菌素(一种细菌毒力因子)同时校正动态pH波动的柔性阵列实例。我们证明,这种组合传感器通过减轻pH变异性对绿脓菌素传感器响应的影响来提高准确性。开发了定制的可丝网印刷油墨以增强分析性能。评估了两种灵敏传感器系统(即用于绿脓菌素和pH传感器的全印刷多孔石墨烯/多壁碳纳米管(CNT)和聚苯胺/CNT复合材料)的分析性能。采用偏最小二乘回归分析来自绿脓菌素和pH传感器的方波伏安法和电位法测量的非零阶数据阵列,以建立复杂流体中绿脓菌素浓度的预测模型。这种灵敏且有效的策略因其可承受性、易用性以及能够针对动态pH变化进行调整而显示出个性化应用的潜力。