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用于快速识别物种、入侵性致病生物的创新生物传感方法。

Innovative Biosensing Approaches for Swift Identification of Species, Intrusive Pathogenic Organisms.

作者信息

Lorenzo-Villegas Dionisio Lorenzo, Gohil Namra Vinay, Lamo Paula, Gurajala Swathi, Bagiu Iulia Cristina, Vulcanescu Dan Dumitru, Horhat Florin George, Sorop Virgiliu Bogdan, Diaconu Mircea, Sorop Madalina Ioana, Oprisoni Andrada, Horhat Razvan Mihai, Susan Monica, MohanaSundaram ArunSundar

机构信息

Faculty of Health Sciences, University Fernando Pessoa-Canarias, 35450 Santa Maria de Guia, Spain.

Department of Internal Medicne, Medical College Baroda, Vadodara 390001, India.

出版信息

Life (Basel). 2023 Oct 22;13(10):2099. doi: 10.3390/life13102099.

Abstract

is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant species, especially and , and their applications in the medical setting.

摘要

是医学上重要真菌的最大属。虽然其大多数成员是共生菌,无害地存在于人体中,但有些是机会性的且具有危险的侵袭性。这些真菌能够引起严重的医院念珠菌病和念珠菌血症,影响内脏和血液。及时诊断将带来成功的治疗方式。用于快速精确检测该属物种的生物传感技术的智能解决方案取得了显著进展。即时检测(POC)生物传感器设备的开发涉及低至皮克/飞克水平的传感器精度、成本效益、便携性、快速性和用户友好性。然而,未来的诊断将依赖于利用诸如用于高通量筛选的多重检测、CRISPR、人工智能(AI)、神经网络、物联网(IoT)以及医学数据库云计算等技术。本综述深入探讨了为检测医学上重要的该属物种,特别是[具体物种1]和[具体物种2]而设计的不同生物传感器技术及其在医疗环境中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fffd/10608220/8bd6cdeb1be8/life-13-02099-g001.jpg

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