Evidence map›Paper›PMID 26311061›Full record

ArticleJournal of laboratory automation2016

A Liquid-Handling Robot for Automated Attachment of Biomolecules to Microbeads.

Aaron Enten, Yujia Yang, Zihan Ye, Ryan Chu, Tam Van, Ben Rothschild, Francisco Gonzalez, Todd Sulchek

Abstract read
In one paragraph

Article in Journal of laboratory automation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aaron EntenBioengineering in the Electrical and Computer Engineering Home School, Georgia Institute of Technology, Atlanta, GA, USA.
Yujia YangGeorgia Institute of Technology, Atlanta, GA, USA.
Zihan YeGeorgia Institute of Technology, Atlanta, GA, USA.
Ryan ChuGeorgia Institute of Technology, Atlanta, GA, USA.
Tam VanGeorgia Institute of Technology, Atlanta, GA, USA.
Ben RothschildGeorgia Institute of Technology, Atlanta, GA, USA.
Francisco GonzalezGeorgia Institute of Technology, Atlanta, GA, USA.
Todd SulchekG. W. Woodruff Department of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA todd.sulchek@me.gatech.edu.

Funding

Research Training Program Plan on Cell and Tissue Engineering (CTEng)T32GM008433 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 1991 to 2021
$7.1M
Microfluidic Monitoring of Single Cell Elasticity, Viscoelasticity, and PlasticityR21EB020977 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI ALEXEEV, ALEXANDER, LAM, WILBUR A · 2015 to 2016
$405k
NIBIB NIH HHS R21 EB020977NIGMS NIH HHS T32 GM008433
6 · The paper itself

Abstract

Diagnostics, drug delivery, and other biomedical industries rely on cross-linking ligands to microbead surfaces. Microbead functionalization requires multiple steps of liquid exchange, incubation, and mixing, which are laborious and time intensive. Although automated systems exist, they are expensive and cumbersome, limiting their routine use in biomedical laboratories. We present a small, bench-top robotic system that automates microparticle functionalization and streamlines sample preparation. The robot uses a programmable microcontroller to regulate liquid exchange, incubation, and mixing functions. Filters with a pore diameter smaller than the minimum bead diameter are used to prevent bead loss during liquid exchange. The robot uses three liquid reagents and processes up to 10(7) microbeads per batch. The effectiveness of microbead functionalization was compared with a manual covalent coupling process and evaluated via flow cytometry and fluorescent imaging. The mean percentages of successfully functionalized beads were 91% and 92% for the robot and manual methods, respectively, with less than 5% bead loss. Although the two methods share similar qualities, the automated approach required approximately 10 min of active labor, compared with 3 h for the manual approach. These results suggest that a low-cost, automated microbead functionalization system can streamline sample preparation with minimal operator intervention.

Indexed as

MicrospheresBiological ProductsRoboticsBiological Productsautomated biologyengineeringfunctionalizationliquid-handling roboticsmicrobeadsmolecular biologyrobotics and instrumentation

Identifiers

PMID26311061
PMCPMC5706444

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.