Volumeless reagent delivery: a liquid handling method for adding reagents to microscale droplets without increasing volume

Lab on a Chip ◽  
2022 ◽  
Author(s):  
Duane S. Juang ◽  
Joshua M Lang ◽  
David Beebe
Keyword(s):  
Liquid Handling ◽  
Digital Microfluidic ◽  
Handling Method

The addition of reagents for assays in digital microfluidic (DMF) systems is traditionally done by merging of droplets containing different analytes or reagents in solution. However, this process significantly increases...

scholarly journals Rapid quantification of multi-cryoprotectant toxicity using an automated liquid handling method

Cryobiology ◽  
2020 ◽  
Author(s):  
Ross M. Warner ◽  
Emi Ampo ◽  
Dylan Nelson ◽  
James D. Benson ◽  
Ali Eroglu ◽  
...  
Keyword(s):  
Liquid Handling ◽  
Handling Method ◽  
Rapid Quantification

A review on acoustic droplet ejection technology and system

Soft Matter ◽  
2021 ◽  
Author(s):  
Qing Guo ◽  
Xiao Su ◽  
Xingguo Zhang ◽  
Mengchuan Shao ◽  
Haixia Yu ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Biological Research ◽  
Detection Systems ◽  
Liquid Handling ◽  
Droplet Ejection ◽  
System P ◽  
Handling Method

The pace of change in chemical and biological research enabled by improved detection systems demands fundamental liquid handling and sample preparation changes. The acoustic droplet ejection (ADE)-based liquid handling method...

Antibody Screening Results for Anti-Nucleocapsid Antibodies Towards the Development of a SARS-CoV-2 Nucleocapsid Protein Antigen Detecting Lateral Flow Assay

2021 ◽  
Author(s):  
David Cate ◽  
Helen Hsieh ◽  
Veronika Glukhova ◽  
Joshua D Bishop ◽  
H Gleda Hermansky ◽  
...  
Keyword(s):  
Nucleocapsid Protein ◽  
Point Of Care ◽  
Lateral Flow ◽  
Screening Methods ◽  
Antibody Screening ◽  
Liquid Handling ◽  
Large Numbers ◽  
Accurate Performance ◽  
Further Development ◽  
Assay Conditions

<p></p><p>The global COVID-19 pandemic has created an urgent demand for large numbers of inexpensive, accurate, rapid, point-of-care diagnostic tests. Analyte-based assays are suitably inexpensive and can be rapidly mass-produced, but for sufficiently accurate performance they require highly optimized antibodies and assay conditions. We used an automated liquid handling system, customized to handle arrays of lateral flow immunoassay (LFA) tests in a high-throughput screen, to identify anti-nucleocapsid antibodies that will perform optimally in an LFA. We tested 1021 anti-nucleocapsid antibody pairs as LFA capture and detection reagents with the goal of highlighting pairs that have the greatest affinity for unique epitopes of the nucleocapsid protein of SARS-CoV-2 within the LFA format. In contrast to traditional antibody screening methods (e.g., ELISA, bio-layer interferometry), the method described here integrates real-time reaction kinetics with transport in, and immobilization directly onto, nitrocellulose. We have identified several candidate antibody pairs that are suitable for further development of an LFA for SARS-CoV-2.</p><p></p>

Drop driving on digital microfluidic chip

2020 ◽  
Vol 28 (11) ◽  
pp. 2488-2496
Author(s):  
Hong WANG ◽  
◽  
Jie ZHENG ◽  
Yan-peng YAN ◽  
Song WANG ◽  
...  
Keyword(s):  
Microfluidic Chip ◽  
Digital Microfluidic

scholarly journals A 3D-printed magnetic digital microfluidic diagnostic platform for rapid colorimetric sensing of carbapenemase-producing Enterobacteriaceae

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Pojchanun Kanitthamniyom ◽  
Pei Yun Hon ◽  
Aiwu Zhou ◽  
Mohammad Yazid Abdad ◽  
Zhi Yun Leow ◽  
...  
Keyword(s):  
Point Of Care ◽  
Resistance Mechanism ◽  
Turnaround Time ◽  
World Health ◽  
Colorimetric Sensing ◽  
Resource Limited ◽  
Reaction Chambers ◽  
Technological Platform ◽  
Health Organization ◽  
Digital Microfluidic

AbstractCarbapenemase-producing Enterobacteriaceae (CPE) are a group of drug-resistant Gram-negative pathogens that are classified as a critical threat by the World Health Organization (WHO). Conventional methods of detecting antibiotic-resistant pathogens do not assess the resistance mechanism and are often time-consuming and laborious. We have developed a magnetic digital microfluidic (MDM) platform, known as MDM Carba, for the identification of CPE by measuring their ability to hydrolyze carbapenem antibiotics. MDM Carba offers the ability to rapidly test CPE and reduce the amount of reagents used compared with conventional phenotypic testing. On the MDM Carba platform, tests are performed in droplets that function as reaction chambers, and fluidic operations are accomplished by manipulating these droplets with magnetic force. The simple droplet-based magnetic fluidic operation allows easy system automation and simplified hands-on operation. Because of the unique “power-free” operation of MDM technology, the MDM Carba platform can also be operated manually, showing great potential for point-of-care testing in resource-limited settings. We tested 27 bacterial isolates on the MDM Carba platform, and the results showed sensitivity and specificity that were comparable to those of the widely used Carba NP test. MDM Carba may shorten the overall turnaround time for CPE identification, thereby enabling more timely clinical decisions for better clinical outcomes. MDM Carba is a technological platform that can be further developed to improve diagnostics for other types of antibiotic resistance with minor modifications.

scholarly journals A fully automated pipeline for the dynamic at‐line morphology analysis of microscale Aspergillus cultivation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Roman Jansen ◽  
Kira Küsters ◽  
Holger Morschett ◽  
Wolfgang Wiechert ◽  
Marco Oldiges
Keyword(s):  
Filamentous Fungi ◽  
High Throughput ◽  
Automated Image Analysis ◽  
Height Velocity ◽  
Pellet Size ◽  
Application Study ◽  
Liquid Handling ◽  
Morphology Analysis ◽  
Development And Utilization ◽  
Increasing Demand

Abstract Background Morphology, being one of the key factors influencing productivity of filamentous fungi, is of great interest during bioprocess development. With increasing demand of high-throughput phenotyping technologies for fungi due to the emergence of novel time-efficient genetic engineering technologies, workflows for automated liquid handling combined with high-throughput morphology analysis have to be developed. Results In this study, a protocol allowing for 48 parallel microbioreactor cultivations of Aspergillus carbonarius with non-invasive online signals of backscatter and dissolved oxygen was established. To handle the increased cultivation throughput, the utilized microbioreactor is integrated into a liquid handling platform. During cultivation of filamentous fungi, cell suspensions result in either viscous broths or form pellets with varying size throughout the process. Therefore, tailor-made liquid handling parameters such as aspiration/dispense height, velocity and mixing steps were optimized and validated. Development and utilization of a novel injection station enabled a workflow, where biomass samples are automatically transferred into a flow through chamber fixed under a light microscope. In combination with an automated image analysis concept, this enabled an automated morphology analysis pipeline. The workflow was tested in a first application study, where the projected biomass area was determined at two different cultivation temperatures and compared to the microbioreactor online signals. Conclusions A novel and robust workflow starting from microbioreactor cultivation, automated sample harvest and processing via liquid handling robots up to automated morphology analysis was developed. This protocol enables the determination of projected biomass areas for filamentous fungi in an automated and high-throughput manner. This measurement of morphology can be applied to describe overall pellet size distribution and heterogeneity.

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