Dotette: Programmable, High-precision, Plug-and-play Droplet Pipetting
Overview
Authors
Affiliations
Manual micropipettes are the most heavily used liquid handling devices in biological and chemical laboratories; however, they suffer from low precision for volumes under 1 l and inevitable human errors. For a manual device, the human errors introduced pose potential risks of failed experiments, inaccurate results, and financial costs. Meanwhile, low precision under 1 l can cause severe quantification errors and high heterogeneity of outcomes, becoming a bottleneck of reaction miniaturization for quantitative research in biochemical labs. Here, we report Dotette, a programmable, plug-and-play microfluidic pipetting device based on nanoliter liquid printing. With automated control, protocols designed on computers can be directly downloaded into Dotette, enabling programmable operation processes. Utilizing continuous nanoliter droplet dispensing, the precision of the volume control has been successfully improved from traditional 20%-50% to less than 5% in the range of 100 nl to 1000 nl. Such a highly automated, plug-and-play add-on to existing pipetting devices not only improves precise quantification in low-volume liquid handling and reduces chemical consumptions but also facilitates and automates a variety of biochemical and biological operations.
Microfluidic Printing-Based Method for the Multifactorial Study of Cell-Free Protein Networks.
Zhou C, Shim J, Fang Z, Meyer C, Gong T, Wong M Anal Chem. 2022; 94(31):11038-11046.
PMID: 35901235 PMC: 9558566. DOI: 10.1021/acs.analchem.2c01851.
Coupling of Fused Deposition Modeling and Inkjet Printing to Produce Drug Loaded 3D Printed Tablets.
Junqueira L, Tabriz A, Raposo F, Carobini L, Vaz U, Brandao M Pharmaceutics. 2022; 14(1).
PMID: 35057054 PMC: 8781861. DOI: 10.3390/pharmaceutics14010159.
High-Throughput Experimentation Using Cell-Free Protein Synthesis Systems.
Meyer C, Zhou C, Fang Z, Longo M, Pan T, Tan C Methods Mol Biol. 2022; 2433:121-134.
PMID: 34985741 PMC: 10228547. DOI: 10.1007/978-1-0716-1998-8_7.
Sample-to-Answer Robotic ELISA.
Zhou C, Fang Z, Zhao C, Mai X, Emami S, Taha A Anal Chem. 2021; 93(33):11424-11432.
PMID: 34378906 PMC: 8422985. DOI: 10.1021/acs.analchem.1c01231.
Building protein networks in synthetic systems from the bottom-up.
Shim J, Zhou C, Gong T, Iserlis D, Linjawi H, Wong M Biotechnol Adv. 2021; 49:107753.
PMID: 33857631 PMC: 9558565. DOI: 10.1016/j.biotechadv.2021.107753.