Multi-step particle-based microfluidic test for biotin measurement

被引:1
|
作者
Laanevali, Airiin [1 ]
Saar, Indrek [1 ]
Nasirova, Naila [1 ]
Evard, Hanno [1 ]
机构
[1] Univ Tartu, Inst Chem, Chair Analyt Chem, Ravila 14a, EE-50411 Tartu, Estonia
关键词
Particle-based microfluidics; mu PADs; Point-of-care test; Biotin; Thin layer chromatography; Blister reservoirs; SAMPLE PREPARATION; DETECTABLE BIOTIN; INTERFERENCE; IMMUNOASSAYS; TECHNOLOGIES; PREVALENCE; PROTEINS; DEVICES; ANALOGS; URINE;
D O I
10.1007/s10404-024-02766-4
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Microfluidics has emerged as a highly promising technology for miniaturizing chemical analysis laboratory into a single, small lab-on-a-chip device. In our previous research, we have developed an innovative approach to particle-based microfluidics by screen printing silica gel microparticles onto glass substrate to create a patterned porous material. In this article we demonstrate a multi-step sample analysis - combining conventional and affinity thin-layer chromatography with competitive assay for detection - along with blister reservoirs that can be integrated into the particle-based microfluidic point-of-care test. This integration achieves high analytical performance and makes the test simple to use. Biotin was chosen as the exemplary analyte, because measuring it is crucial in immunoassays, where high circulating biotin concentrations can lead to false results. This research also addresses the challenge of biotin interference in immunoassays by making it possible to produce rapid biotin tests. Need for these tests is particularly critical in emergency situations. Validation of the developed test demonstrated a dynamic range of 0.09 to 0.24 mu g ml- 1 and that artificial urine matrix does not have significant effect on the results. This would make it possible to assess whether the biotin interference occurs in urine sample immunoassays.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] A Multi-Step Approach to Assessing LIGO Test Mass Coatings
    Glover, Lamar
    Goff, Michael
    Linker, Seth
    Neilson, Joshua
    Patel, Jignesh
    Pinto, Innocenzo
    Principe, Maria
    Villarama, Ethan
    Arriaga, Eddy
    Barragan, Erik
    Chao, Shiuh
    Daneshgaran, Lara
    DeSalvo, Riccardo
    Do, Eric
    Fajardo, Cameron
    12TH EDOARDO AMALDI CONFERENCE ON GRAVITATIONAL WAVES (AMALDI 12), 2018, 957
  • [42] Multi-step model predictive control based on SVR multi-Agent particle swarm optimization algorithm
    Tang, X.-L. (tangxl@cqupt.edu.cn), 1600, Chinese Institute of Electronics (36):
  • [43] Particle-Based Shape Analysis of Multi-object Complexes
    Cates, Joshua
    Fletcher, P. Thomas
    Styner, Martin
    Hazlett, Heather Cody
    Whitaker, Ross
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2008, PT I, PROCEEDINGS, 2008, 5241 : 477 - +
  • [44] A multi-step decision prediction model based on LightGBM
    Luo, Yuhao
    Xu, Qianfang
    Li, Wenliang
    Jiang, Feng
    Xiao, Bo
    2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 5714 - 5718
  • [45] Detection algorithm for multi-step attack based on CTPN
    Yan, Fen
    Huang, Hao
    Yin, Xin-Chun
    Jisuanji Xuebao/Chinese Journal of Computers, 2006, 29 (08): : 1383 - 1391
  • [46] Droplet-based microsystem for multi-step bioreactions
    Fang Wang
    Mark A. Burns
    Biomedical Microdevices, 2010, 12 : 533 - 541
  • [47] Multi-step ahead prediction based on the principle of concatenation
    Kaynak, M.O.
    Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 1993, 207 (01) : 57 - 61
  • [48] A palmprint recognition method based on multi-step representation
    Wen, Jiajun
    Chen, Yan
    Mi, Jianxun
    OPTIK, 2013, 124 (22): : 5727 - 5731
  • [49] Droplet-based microsystem for multi-step bioreactions
    Wang, Fang
    Burns, Mark A.
    BIOMEDICAL MICRODEVICES, 2010, 12 (03) : 533 - 541
  • [50] A Method of Maneuver Detection Based on Multi-step Innovation
    Wang Yong
    9TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MANUFACTURING (ICMM 2018), 2018, 361