Prakashan Drishya, P R Ramya, Gandhi Sonu
DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad 500032, Telangana, India.
DBT-Regional Centre for Biotechnology (RCB), Faridabad 121001, Haryana, India.
Diagnostics (Basel). 2023 Feb 28;13(5):916. doi: 10.3390/diagnostics13050916.
Personalized point-of-care testing (POCT) devices, such as wearable sensors, enable quick access to health monitoring without the use of complex instruments. Wearable sensors are gaining popularity owing to their ability to offer regular and continuous monitoring of physiological data by dynamic, non-invasive assessments of biomarkers in biofluids such as tear, sweat, interstitial fluid and saliva. Current advancements have concentrated on the development of optical and electrochemical wearable sensors as well as advances in non-invasive measurements of biomarkers such as metabolites, hormones and microbes. For enhanced wearability and ease of operation, microfluidic sampling, multiple sensing, and portable systems have been incorporated with materials that are flexible. Although wearable sensors show promise and improved dependability, they still require more knowledge about interaction between the target sample concentrations in blood and non-invasive biofluids. In this review, we have described the importance of wearable sensors for POCT, their design and types of these devices. Following which, we emphasize on the current breakthroughs in the application of wearable sensors in the realm of wearable integrated POCT devices. Lastly, we discuss the present obstacles and forthcoming potentials including the use of Internet of Things (IoT) for offering self-healthcare using wearable POCT.
个性化即时检测(POCT)设备,如可穿戴传感器,无需使用复杂仪器就能快速进行健康监测。可穿戴传感器因其能够通过对泪液、汗液、间质液和唾液等生物流体中的生物标志物进行动态、非侵入性评估,从而实现对生理数据的定期和连续监测,而越来越受欢迎。当前的进展主要集中在光学和电化学可穿戴传感器的开发,以及代谢物、激素和微生物等生物标志物的非侵入性测量方面的进展。为了提高可穿戴性和操作便利性,微流体采样、多重传感和便携式系统已与柔性材料相结合。尽管可穿戴传感器显示出前景并提高了可靠性,但它们仍需要更多关于血液中目标样本浓度与非侵入性生物流体之间相互作用的知识。在这篇综述中,我们描述了可穿戴传感器对于即时检测的重要性、其设计以及这些设备的类型。在此之后,我们强调了可穿戴传感器在可穿戴集成即时检测设备领域应用中的当前突破。最后,我们讨论了当前的障碍和未来的潜力,包括使用物联网(IoT)通过可穿戴即时检测提供自我医疗保健。