Evidence map›Paper›PMID 31260621›Full record

ArticleAnalytical chemistry2019

Electric Triggering for Enhanced Control of Droplet Generation.

Daihyun Kim, Austin Echelmeier, Jorvani Cruz Villarreal, Sahir Gandhi, Sebastian Quintana, Ana Egatz-Gomez, Alexandra Ros

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. 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. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Dynamic Structural Biology Experiments at XFEL or Synchrotron Sources.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  10. Article
  11. 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

7 authors.

Daihyun KimSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Austin EchelmeierSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Jorvani Cruz VillarrealSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Sahir GandhiSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Sebastian QuintanaSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Ana Egatz-GomezSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.
Alexandra RosSchool of Molecular Sciences , Arizona State University , Tempe , Arizona 85287 , United States.ORCID 0000-0001-7709-8331

Funding

Femtosecond nano-crystallography of membrane proteinsR01GM095583 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI FROMME, PETRA · 2010 to 2023
$4.3M
3D NanoprinterS10OD021816 · OD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SPENCE, JOHN CHARLES · 2016 to 2016
$659k
NIGMS NIH HHS R01 GM095583NIH HHS S10 OD021816
6 · The paper itself

Abstract

Serial femtosecond crystallography (SFX) is a powerful technique that uses X-ray free-electron lasers (XFEL) to determine structures of biomolecular complexes. Specifically, it benefits the study of atomic resolution structures of large membrane protein complexes and time-resolved reactions with crystallography. One major drawback of SFX studies with XFELs is the consumption of large amounts of a protein crystal sample to collect a complete X-ray diffraction data set for high-resolution crystal structures. This increases the time and resources required for sample preparation and experimentation. The intrinsic pulsed nature of all current X-ray sources is a major reason why such large amounts of sample are required. Any crystal sample that is delivered in the path of the X-ray beam during its "off-time" is wasted. To address this large sample consumption issue, we developed a 3D printed microfluidic system with integrated metal electrodes for water-in-oil droplet generation to dynamically create and manipulate aqueous droplets. We demonstrate on-demand droplet generation using DC potentials and the ability to tune the frequency of droplet generation through the application of AC potentials. More importantly, to assist with the synchronization of droplets and XFEL pulses, we show that the device can induce a phase shift in the base droplet generation frequency. This novel approach to droplet generation has the potential to reduce sample waste by more than 95% for SFX experiments with XFELs performed with liquid jets and can operate under low- and high-pressure liquid injection systems.

Indexed as

Crystallography, X-RayElectricityElectrodesPressurePrinting, Three-DimensionalProteinsProteins

Identifiers

PMID31260621
PMCPMC7904246

What OpenQuestion holds

Textmetadata
LicenceTDM
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.