A naked-eye readout self-powered electrochemical biosensor toward indoor formaldehyde: on-site detection and exposure risk warning

2021 ◽  
pp. 112975
Author(s):  
Xiaoxuan Sun ◽  
He Zhang ◽  
Liang Huang ◽  
Shuai Hao ◽  
Junfeng Zhai ◽  
...  
2020 ◽  
Vol 306 ◽  
pp. 127535 ◽  
Author(s):  
Miguel Aller-Pellitero ◽  
Sara Santiago-Malagón ◽  
Jules Ruiz ◽  
Yasmine Alonso ◽  
Boris Lakard ◽  
...  
Keyword(s):  

2011 ◽  
Vol 83 (4) ◽  
pp. 1185-1188 ◽  
Author(s):  
Brian A. Zaccheo ◽  
Richard M. Crooks

Biosensors ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 373
Author(s):  
Yoon Ok Jang ◽  
Hyo Joo Lee ◽  
Bonhan Koo ◽  
Hye-Hee Cha ◽  
Ji-Soo Kwon ◽  
...  

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus (SARS-CoV)-2, is rapidly spreading and severely straining the capacities of public health communities and systems around the world. Therefore, accurate, rapid, and robust diagnostic tests for COVID-19 are crucial to prevent further spread of the infection, alleviate the burden on healthcare and diagnostic facilities, and ensure timely therapeutic intervention. To date, several detection methods based on nucleic acid amplification have been developed for the rapid and accurate detection of SARS-CoV-2. Despite the myriad of advancements in the detection methods for SARS-CoV-2, rapid sample preparation methods for RNA extraction from viruses have rarely been explored. Here, we report a rapid COVID-19 molecular diagnostic system that combines a self-powered sample preparation assay and loop-mediated isothermal amplification (LAMP) based naked-eye detection method for the rapid and sensitive detection of SARS-CoV-2. The self-powered sample preparation assay with a hydrophilic polyvinylidene fluoride filter and dimethyl pimelimidate can be operated by hand, without the use of any sophisticated instrumentation, similar to the reverse transcription (RT)-LAMP-based lateral flow assay for the naked-eye detection of SARS-CoV-2. The COVID-19 molecular diagnostic system enriches the virus population, extracts and amplifies the target RNA, and detects SARS-CoV-2 within 60 min. We validated the accuracy of the system by using 23 clinical nasopharyngeal specimens. We envision that this proposed system will enable simple, facile, efficient, and inexpensive diagnosis of COVID-19 at home and the clinic as a pre-screening platform to reduce the burden on the medical staff in this pandemic era.


Nanoscale ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 5489-5495 ◽  
Author(s):  
Haitao Li ◽  
Yihe Zhang ◽  
Han Dai ◽  
Wangshu Tong ◽  
Yan Zhou ◽  
...  

A facile self-powered electroluminescent material effectively converts mechanical vibration into light visible to the naked eye.


2019 ◽  
Vol 140 ◽  
pp. 111320 ◽  
Author(s):  
Ana P.M. Tavares ◽  
Liliana A.A.N.A. Truta ◽  
Felismina T.C. Moreira ◽  
Liliana P.T. Carneiro ◽  
M. Goreti F. Sales

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.


2020 ◽  
Vol 13 (12) ◽  
pp. 121001
Author(s):  
Wei Qu ◽  
Shukun Weng ◽  
Liping Zhang ◽  
Min Sun ◽  
Bo Liu ◽  
...  
Keyword(s):  

2002 ◽  
Author(s):  
Brady Krass ◽  
Charles Hannon ◽  
Joseph Gerstmann
Keyword(s):  

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