Evidence map›Paper›PMID 27249333›Full record

ArticleACS applied materials & interfaces2016

AirJump: Using Interfaces to Instantly Perform Simultaneous Extractions.

Scott M Berry, Hannah M Pezzi, Alex J LaVanway, David J Guckenberger, Meghan A Anderson, David J Beebe

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
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

6 authors.

Scott M BerryDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
Hannah M PezziDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
Alex J LaVanwayDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
David J GuckenbergerDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
Meghan A AndersonDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.
David J BeebeDepartment of Biomedical Engineering, University of Wisconsin-Madison , Madison, Wisconsin 53705, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyte isolation is an important process that spans a range of biomedical disciplines, including diagnostics, research, and forensics. While downstream analytical techniques have advanced in terms of both capability and throughput, analyte isolation technology has lagged behind, increasingly becoming the bottleneck in these processes. Thus, there exists a need for simple, fast, and easy to integrate analyte separation protocols to alleviate this bottleneck. Recently, a new class of technologies has emerged that leverages the movement of paramagnetic particle (PMP)-bound analytes through phase barriers to achieve a high efficiency separation in a single or a few steps. Specifically, the passage of a PMP/analyte aggregate through a phase interface (aqueous/air in this case) acts to efficiently "exclude" unbound (contaminant) material from PMP-bound analytes with higher efficiency than traditional washing-based solid-phase extraction (SPE) protocols (i.e., bind, wash several times, elute). Here, we describe for the first time a new type of "exclusion-based" sample preparation, which we term "AirJump". Upon realizing that much of the contaminant carryover stems from interactions with the sample vessel surface (e.g., pipetting residue, wetting), we aim to eliminate the influence of that factor. Thus, AirJump isolates PMP-bound analyte by "jumping" analyte directly out of a free liquid/air interface. Through careful characterization, we have demonstrated the validity of AirJump isolation through comparison to traditional washing-based isolations. Additionally, we have confirmed the suitability of AirJump in three important independent biological isolations, including protein immunoprecipitation, viral RNA isolation, and cell culture gene expression analysis. Taken together, these data sets demonstrate that AirJump performs efficiently, with high analyte yield, high purity, no cross contamination, rapid time-to-isolation, and excellent reproducibility.

Indexed as

Gene Expression ProfilingImmunoprecipitationProteinsReproducibility of ResultsRNA, ViralSolid Phase ExtractionProteinsRNA, ViralAirJumpair/liquid interfaceexclusion-based sample prepextractionparamagnetic particlespurification

Identifiers

PMID27249333
PMCPMC5058634

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.