Cardos Alexandra Ioana, Maghiar Adriana, Zaha Dana Carmen, Pop Ovidiu, Fritea Luminita, Miere Groza Florina, Cavalu Simona
Faculty of Medicine and Pharmacy, University of Oradea, P-ta 1 December 10, 410087 Oradea, Romania.
Diagnostics (Basel). 2022 Feb 16;12(2):508. doi: 10.3390/diagnostics12020508.
Rapid diagnosis and treatment application in the early stages of infection plays an important part in inhibiting the transmission of this infection as this bacterium is involved in various gastric pathologies such as gastritis, gastro-duodenal ulcer, and even gastric neoplasia. This review is devoted to a quick overview of conventional and advanced detection techniques successfully applied to the detection of in the context of a compelling need to upgrade the standards of the diagnostic methods which are currently being used. Selecting the best diagnostic method implies evaluating different features, the use of one or another test depending on accessibility, laboratories equipment, and the clinical conditions of patients. This paper aims to expose the diagnosis methods for that are currently available, highlighting their assets and limitations. The perspectives and the advantages of nanotechnology along with the concept of nano(bio)sensors and the development of lab-on-chip devices as advanced tools for detection, differentiation, and discrimination is also presented, by emphasizing multiple advantages: simple, fast, cost-effective, portable, miniaturized, small volume of samples required, highly sensitive, and selective. It is generally accepted that the development of intelligent sensors will completely revolutionize the acquisition procedure and medical decision in the framework of smart healthcare monitoring systems.
由于这种细菌与多种胃部疾病有关，如胃炎、胃十二指肠溃疡，甚至胃部肿瘤，因此在感染早期进行快速诊断和治疗对抑制该感染的传播起着重要作用。本综述致力于快速概述常规和先进的检测技术，这些技术已成功应用于该菌的检测，以满足迫切需要提升当前所使用诊断方法标准的需求。选择最佳诊断方法意味着评估不同特征，根据可及性、实验室设备和患者临床状况使用一种或另一种检测方法。本文旨在介绍目前可用的该菌诊断方法，突出其优点和局限性。还介绍了纳米技术的前景和优势，以及纳米（生物）传感器的概念和作为该菌检测、鉴别和区分先进工具的芯片实验室设备的发展，强调了其多重优势：简单、快速、经济高效、便携、小型化、所需样本量小、高度灵敏且具有选择性。人们普遍认为，智能传感器的发展将在智能医疗监测系统框架内彻底改变采集程序和医疗决策。
