Literature DB >> 35762978

Characterization of wax valving and μPIV analysis of microscale flow in paper-fluidic devices for improved modeling and design.

Emilie I Newsham1,2, Elizabeth A Phillips1, Hui Ma1, Megan M Chang2, Steven T Wereley3, Jacqueline C Linnes1.   

Abstract

Paper-fluidic devices are a popular platform for point-of-care diagnostics due to their low cost, ease of use, and equipment-free detection of target molecules. They are limited, however, by their lack of sensitivity and inability to incorporate more complex processes, such as nucleic acid amplification or enzymatic signal enhancement. To address these limitations, various valves have previously been implemented in paper-fluidic devices to control fluid obstruction and release. However, incorporation of valves into new devices is a highly iterative, time-intensive process due to limited experimental data describing the microscale flow that drives the biophysical reactions in the assay. In this paper, we tested and modeled different geometries of thermally actuated valves to investigate how they can be more easily implemented in an LFIA with precise control of actuation time, flow rate, and flow pattern. We demonstrate that bulk flow measurements alone cannot estimate the highly variable microscale properties and effects on LFIA signal development. To further quantify the microfluidic properties of paper-fluidic devices, micro-particle image velocimetry was used to quantify fluorescent nanoparticle flow through the membranes and demonstrated divergent properties from bulk flow that may explain additional variability in LFIA signal generation. Altogether, we demonstrate that a more robust characterization of paper-fluidic devices can permit fine-tuning of parameters for precise automation of multi-step assays and inform analytical models for more efficient design.

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Mesh:

Year:  2022        PMID: 35762978      PMCID: PMC9362854          DOI: 10.1039/d2lc00297c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   7.517


  32 in total

1.  Multiplex lateral flow detection and binary encoding enables a molecular colorimetric 7-segment display.

Authors:  Jia Li; Joanne Macdonald
Journal:  Lab Chip       Date:  2016-01-21       Impact factor: 6.799

2.  Polymerization-based signal amplification for paper-based immunoassays.

Authors:  Abraham K Badu-Tawiah; Shefali Lathwal; Kaja Kaastrup; Mohammad Al-Sayah; Dionysios C Christodouleas; Barbara S Smith; George M Whitesides; Hadley D Sikes
Journal:  Lab Chip       Date:  2015-02-07       Impact factor: 6.799

3.  Simultaneous Dual-Gene Diagnosis of SARS-CoV-2 Based on CRISPR/Cas9-Mediated Lateral Flow Assay.

Authors:  Erhu Xiong; Ling Jiang; Tian Tian; Menglu Hu; Huahua Yue; Mengqi Huang; Wei Lin; Yongzhong Jiang; Debin Zhu; Xiaoming Zhou
Journal:  Angew Chem Int Ed Engl       Date:  2021-01-26       Impact factor: 15.336

4.  Automating multi-step paper-based assays using integrated layering of reagents.

Authors:  Sana Jahanshahi-Anbuhi; Balamurali Kannan; Kevin Pennings; M Monsur Ali; Vincent Leung; Karen Giang; Jingyun Wang; Dawn White; Yingfu Li; Robert H Pelton; John D Brennan; Carlos D M Filipe
Journal:  Lab Chip       Date:  2017-02-28       Impact factor: 6.799

5.  Enhanced lateral flow immunoassay using gold nanoparticles loaded with enzymes.

Authors:  Claudio Parolo; Alfredo de la Escosura-Muñiz; Arben Merkoçi
Journal:  Biosens Bioelectron       Date:  2012-06-30       Impact factor: 10.618

6.  Paper-Based RNA Extraction, in Situ Isothermal Amplification, and Lateral Flow Detection for Low-Cost, Rapid Diagnosis of Influenza A (H1N1) from Clinical Specimens.

Authors:  Natalia M Rodriguez; Jacqueline C Linnes; Andy Fan; Courtney K Ellenson; Nira R Pollock; Catherine M Klapperich
Journal:  Anal Chem       Date:  2015-07-15       Impact factor: 6.986

7.  Dissolvable fluidic time delays for programming multi-step assays in instrument-free paper diagnostics.

Authors:  Barry Lutz; Tinny Liang; Elain Fu; Sujatha Ramachandran; Peter Kauffman; Paul Yager
Journal:  Lab Chip       Date:  2013-07-21       Impact factor: 6.799

8.  A rapid and sensitive CRISPR/Cas12a based lateral flow biosensor for the detection of Epstein-Barr virus.

Authors:  Ting Yuan; Omar Mukama; Zhiyuan Li; Wei Chen; Yuxia Zhang; Jean de Dieu Habimana; Yinghui Zhang; Rong Zeng; Chengrong Nie; Zhixu He; Lingwen Zeng
Journal:  Analyst       Date:  2020-09-28       Impact factor: 4.616

9.  Investigation of Reagent Delivery Formats in a Multivalent Malaria Sandwich Immunoassay and Implications for Assay Performance.

Authors:  Tinny Liang; Robert Robinson; Jared Houghtaling; Gina Fridley; Stephen A Ramsey; Elain Fu
Journal:  Anal Chem       Date:  2016-02-02       Impact factor: 6.986

10.  A paper and plastic device for the combined isothermal amplification and lateral flow detection of Plasmodium DNA.

Authors:  Michael S Cordray; Rebecca R Richards-Kortum
Journal:  Malar J       Date:  2015-11-26       Impact factor: 2.979

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