Pulse Power Generation Chronoamperometry as an Advanced Readout for (Bio)sensors: Application for Noninvasive Diabetes Monitoring

被引:2
作者
Komkova, Maria A. [1 ]
Eliseev, Andrei A. [1 ,2 ]
Eliseev, Artem A. [1 ]
Kasimovskaya, Valeria S. [2 ]
Poyarkov, Andrei A. [2 ]
Karyakin, Arkady A. [1 ]
机构
[1] Lomonosov Moscow State Univ, Dept Chem, Moscow 119991, Russia
[2] Lomonosov Moscow State Univ, Dept Mat Sci, Moscow 119991, Russia
基金
俄罗斯科学基金会;
关键词
PRUSSIAN BLUE; SENSORS; GLUCOSE; OXIDASE;
D O I
10.1021/acs.analchem.2c05746
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
We propose pulse power generation (PPG) amperometry as an advanced readout realized for Prussian blue (PB)-based (bio)sensors. In contrast to the conventional power generation mode, when the current response is generated upon continuous short-circuiting, the suggested pulse regime is fulfilled by periodic opening and shorting of the circuit. Despite PB being electroactive, the pulse readout is advantageous over conventional steady-state power generation, providing up to a 15-fold increased signal-to-background ratio as well as dramatically improved sensitivity exceeding 10 A center dot M-1 center dot cm-2 for H2O2 sensors and 3.9 A center dot M-1 center dot cm-2 for glucose biosensors. Such analytical performance characteristics are, most probably, achieved due to the enrichment of the diffusion layer by analyte mass transfer from the bulk upon opening of the circuit. Due to an improved sensitivity-to-background ratio, reduced flow rate dependence, and enhanced operational stability, the regime allows reliable monitoring of blood glucose variations through sweat analysis with the on-skin device.
引用
收藏
页码:7528 / 7535
页数:8
相关论文
共 28 条
[1]   Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study [J].
Bandodkar, Amay J. ;
Jia, Wenzhao ;
Yardimci, Ceren ;
Wang, Xuan ;
Ramirez, Julian ;
Wang, Joseph .
ANALYTICAL CHEMISTRY, 2015, 87 (01) :394-398
[2]   Non-invasive wearable electrochemical sensors: a review [J].
Bandodkar, Amay J. ;
Wang, Joseph .
TRENDS IN BIOTECHNOLOGY, 2014, 32 (07) :363-371
[3]  
Blum Alyson, 2018, Clin Diabetes, V36, P203, DOI 10.2337/cd17-0130
[4]  
Funtanilla Vienica D, 2019, P T, V44, P550
[5]   Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis [J].
Gao, Wei ;
Emaminejad, Sam ;
Nyein, Hnin Yin Yin ;
Challa, Samyuktha ;
Chen, Kevin ;
Peck, Austin ;
Fahad, Hossain M. ;
Ota, Hiroki ;
Shiraki, Hiroshi ;
Kiriya, Daisuke ;
Lien, Der-Hsien ;
Brooks, George A. ;
Davis, Ronald W. ;
Javey, Ali .
NATURE, 2016, 529 (7587) :509-+
[6]   ENZYME ELECTRODE FOR AMPEROMETRIC DETERMINATION OF GLUCOSE [J].
GUILBAULT, GG ;
LUBRANO, GJ .
ANALYTICA CHIMICA ACTA, 1973, 64 (03) :439-455
[7]   Wearable sensors: modalities, challenges, and prospects [J].
Heikenfeld, J. ;
Jajack, A. ;
Rogers, J. ;
Gutruf, P. ;
Tian, L. ;
Pan, T. ;
Li, R. ;
Khine, M. ;
Kim, J. ;
Wang, J. ;
Kim, J. .
LAB ON A CHIP, 2018, 18 (02) :217-248
[8]   Accessing analytes in biofluids for peripheral biochemical monitoring [J].
Heikenfeld, Jason ;
Jajack, Andrew ;
Feldman, Benjamin ;
Granger, Steve W. ;
Gaitonde, Supriya ;
Begtrup, Gavi ;
Katchman, Benjamin A. .
NATURE BIOTECHNOLOGY, 2019, 37 (04) :407-419
[9]   Electrochemical glucose sensors and their applications in diabetes management [J].
Heller, Adam ;
Feldman, Ben .
CHEMICAL REVIEWS, 2008, 108 (07) :2482-2505
[10]   A wearable chemical-electrophysiological hybrid biosensing system for real-time health and fitness monitoring [J].
Imani, Somayeh ;
Bandodkar, Amay J. ;
Mohan, A. M. Vinu ;
Kumar, Rajan ;
Yu, Shengfei ;
Wang, Joseph ;
Mercier, Patrick P. .
NATURE COMMUNICATIONS, 2016, 7