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10.1016/j.bios.2021.113160 http://scihub22266oqcxt.onion/10.1016/j.bios.2021.113160 33740542!7954646!33740542     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biosens+Bioelectron 2021 ; 181 (ä): 113160 Nephropedia Template TP {{tp|p=33740542|t=2021. 5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19 |pdf=|usr=}}{{33740542}} gab.com Text 5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19 JO: Biosens Bioelectron http://www.kidney.de/pget.php?&tw=1&pmid=33740542 #FOAvip The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading around the globe since December 2019. There is an urgent need to develop sensitive and online methods for on-site diagnosing and monitoring of suspected COVID-19 patients. With the huge development of Internet of Things (IoT), the impact of Internet of Medical Things (IoMT) provides an impressive solution to this problem. In this paper, we proposed a 5G-enabled fluorescence sensor for quantitative detection of spike protein and nucleocapsid protein of SARS-CoV-2 by using mesoporous silica encapsulated up-conversion nanoparticles (UCNPs@mSiO(2)) labeled lateral flow immunoassay (LFIA). The sensor can detect spike protein (SP) with a detection of limit (LOD) 1.6 ng/mL and nucleocapsid protein (NP) with an LOD of 2.2 ng/mL. The feasibility of the sensor in clinical use was further demonstrated by utilizing virus culture as real clinical samples. Moreover, the proposed fluorescence sensor is IoMT enabled, which is accessible to edge hardware devices (personal computers, 5G smartphones, IPTV, etc.) through Bluetooth. Medical data can be transmitted to the fog layer of the network and 5G cloud server with ultra-low latency and high reliably for edge computing and big data analysis. Furthermore, a COVID-19 monitoring module working with the proposed the system is developed on a smartphone application (App), which endows patients and their families to record their medical data and daily conditions remotely, releasing the burdens of going to central hospitals. We believe that the proposed system will be highly practical in the future treatment and prevention of COVID-19 and other mass infectious diseases. Twit Text FOAVip 5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19 ????Biosens Bioelectron http://www.kidney.de/pget.php?&tw=1&pmid=33740542 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33740542 #FOAvip English Wikipedia <ref>{{Cite pmid|33740542}}</ref> 5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19 #MMPMID33740542 Guo J; Chen S; Tian S; Liu K; Ni J; Zhao M; Kang Y; Ma X; Guo J Biosens Bioelectron 2021[Jun]; 181 (ä): 113160 PMID33740542show ga The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading around the globe since December 2019. There is an urgent need to develop sensitive and online methods for on-site diagnosing and monitoring of suspected COVID-19 patients. With the huge development of Internet of Things (IoT), the impact of Internet of Medical Things (IoMT) provides an impressive solution to this problem. In this paper, we proposed a 5G-enabled fluorescence sensor for quantitative detection of spike protein and nucleocapsid protein of SARS-CoV-2 by using mesoporous silica encapsulated up-conversion nanoparticles (UCNPs@mSiO(2)) labeled lateral flow immunoassay (LFIA). The sensor can detect spike protein (SP) with a detection of limit (LOD) 1.6 ng/mL and nucleocapsid protein (NP) with an LOD of 2.2 ng/mL. The feasibility of the sensor in clinical use was further demonstrated by utilizing virus culture as real clinical samples. Moreover, the proposed fluorescence sensor is IoMT enabled, which is accessible to edge hardware devices (personal computers, 5G smartphones, IPTV, etc.) through Bluetooth. Medical data can be transmitted to the fog layer of the network and 5G cloud server with ultra-low latency and high reliably for edge computing and big data analysis. Furthermore, a COVID-19 monitoring module working with the proposed the system is developed on a smartphone application (App), which endows patients and their families to record their medical data and daily conditions remotely, releasing the burdens of going to central hospitals. We believe that the proposed system will be highly practical in the future treatment and prevention of COVID-19 and other mass infectious diseases. |*Biosensing Techniques[MESH] |*Computer Systems[MESH] |*Immunoassay[MESH] |COVID-19/*diagnosis[MESH] |Fluorescence[MESH] |Humans[MESH] |Prognosis[MESH]5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis(epmc).pdf DeepDyve Pubget Overpricing