Mujawar M A, Gohel H, Bhardwaj S K, Srinivasan S, Hickman N, Kaushik A
Department of Electrical and Computer Engineering, College of Engineering and Computing, Florida International University, Miami, FL, 33174, USA.
Department of Computer Science, School of Art and Sciences, University of Houston, Victoria, TX, USA.
Mater Today Chem. 2020 Sep;17:100306. doi: 10.1016/j.mtchem.2020.100306. Epub 2020 Jun 5.
Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluate the progression of disease under therapy. Such collected bioinformatics and its multi-aspects-oriented analytics is in demand to explore the effectiveness of a prescribed treatment, optimize therapy, and correlate biomarker level with disease pathogenesis. Owing to nanotechnology-enabled advancements in sensing unit fabrication, device integration, interfacing, packaging, and sensing performance at point-of-care (POC) has rendered diagnostics according to the requirements of disease management and patient disease profile i.e. in a personalized manner. Efforts are continuously being made to promote the state of art biosensing technology as a next-generation non-invasive disease diagnostics methodology. Keeping this in view, this progressive opinion article describes personalized health care management related analytical tools which can provide access to better health for everyone, with overreaching aim to manage healthy tomorrow timely. Considering accomplishments and predictions, such affordable intelligent diagnostics tools are urgently required to manage COVID-19 pandemic, a life-threatening respiratory infectious disease, where a rapid, selective and sensitive detection of human beta severe acute respiratory system coronavirus (SARS-COoV-2) protein is the key factor.
生物传感器正成为高效（灵敏且具选择性）且经济实惠的分析诊断工具，用于早期疾病检测，这是个性化健康管理所必需的。对目标疾病生物标志物的低水平检测（皮摩尔水平）已被证明对评估治疗中疾病的进展极为有用。收集此类生物信息学及其多方面的分析对于探索规定治疗的有效性、优化治疗以及将生物标志物水平与疾病发病机制相关联而言是必要的。由于纳米技术在传感单元制造、设备集成、接口、封装方面的进步，即时检测（POC）的传感性能已能够根据疾病管理和患者疾病状况的要求进行个性化诊断。人们不断努力将先进的生物传感技术提升为下一代非侵入性疾病诊断方法。鉴于此，这篇前瞻性观点文章描述了与个性化医疗管理相关的分析工具，这些工具可为每个人提供更好的健康保障，其长远目标是及时管理好未来的健康。考虑到已取得的成果和预测，迫切需要此类经济实惠的智能诊断工具来应对新冠疫情，这是一种危及生命的呼吸道传染病，对人类β型严重急性呼吸系统冠状病毒（SARS-CoV-2）蛋白进行快速、选择性和灵敏的检测是关键因素。
