Paper biosensors for detecting elevated IL-6 levels in blood and respiratory samples from COVID-19 patients.
Paper biosensors for detecting elevated IL-6 levels in blood and respiratory samples from COVID-19 patients.
复制标题
纸质生物传感器用于检测新冠肺炎患者血液和呼吸道样本中升高的IL-6水平。
DOI:
10.1016/j.snb.2020.129333
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发表时间:
2021-03-01
期刊:
影响因子:
--
通讯作者:
de la Rica R
中科院分区:
文献类型:
--
作者:
Adrover-Jaume C;Alba-Patiño A;Clemente A;Santopolo G;Vaquer A;Russell SM;Barón E;González Del Campo MDM;Ferrer JM;Berman-Riu M;García-Gasalla M;Aranda M;Borges M;de la Rica R
Decentralizing COVID-19 care reduces contagions and affords a better use of hospital resources. We introduce biosensors aimed at detecting severe cases of COVID-19 in decentralized healthcare settings. They consist of a paper immunosensor interfaced with a smartphone. The immunosensors have been designed to generate intense colorimetric signals when the sample contains ultralow concentrations of IL-6, which has been proposed as a prognosis biomarker of COVID-19. This is achieved by combining a paper-based signal amplification mechanism with polymer-filled reservoirs for dispensing antibody-decorated nanoparticles and a bespoken app for color quantification. With this design we achieved a low limit of detection (LOD) of 10−3 pg mL-1 and semi-quantitative measurements in a wide dynamic range between 10−3 and 102 pg mL-1 in PBS. The assay time is under 10 min. The low LOD allowed us to dilute blood samples and detect IL-6 with an LOD of 1.3 pg mL-1 and a dynamic range up to 102 pg mL-1. Following this protocol, we were able to stratify COVID-19 patients according to different blood levels of IL-6. We also report on the detection of IL-6 in respiratory samples (bronchial aspirate, BAS) from COVID-19 patients. The test could be easily adapted to detect other cytokines such as TNF-α and IL-8 by changing the antibodies decorating the nanoparticles accordingly. The ability of detecting cytokines in blood and respiratory samples paves the way for monitoring local inflammation in the lungs as well as systemic inflammation levels in the body.
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影响因子:
9
作者:
Channappanavar R;Perlman S
通讯作者:
Perlman S
影响因子:
3.3
作者:
Aydin, Elif Burcu;Aydin, Muhammet;Sezginturk, Mustafa Kemal
通讯作者:
Sezginturk, Mustafa Kemal
DOI:
10.1016/j.snb.2020.128971
发表时间:
2021-02-01
期刊:
Sensors and actuators. B, Chemical
影响因子:
--
作者:
Karami A;Hasani M;Azizi Jalilian F;Ezati R
通讯作者:
Ezati R
影响因子:
82.9
作者:
Del Valle DM;Kim-Schulze S;Huang HH;Beckmann ND;Nirenberg S;Wang B;Lavin Y;Swartz TH;Madduri D;Stock A;Marron TU;Xie H;Patel M;Tuballes K;Van Oekelen O;Rahman A;Kovatch P;Aberg JA;Schadt E;Jagannath S;Mazumdar M;Charney AW;Firpo-Betancourt A;Mendu DR;Jhang J;Reich D;Sigel K;Cordon-Cardo C;Feldmann M;Parekh S;Merad M;Gnjatic S
通讯作者:
Gnjatic S
DOI:
10.4269/ajtmh.20-1110
发表时间:
2020-12
期刊:
The American journal of tropical medicine and hygiene
影响因子:
--
作者:
Kwon JS;Kim JY;Kim MC;Park SY;Kim BN;Bae S;Cha HH;Jung J;Kim MJ;Lee MJ;Choi SH;Chung JW;Shin EC;Kim SH
通讯作者:
Kim SH