Evidence map›Paper›PMID 30211534›Full record

ArticleACS nano2018

Asymmetric Membrane for Digital Detection of Single Bacteria in Milliliters of Complex Water Samples.

Xingyu Lin, Xiao Huang, Yanzhe Zhu, Katharina Urmann, Xing Xie, Michael R Hoffmann

Abstract read
In one paragraph

Article in ACS nano, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Microfluidics for Environmental Applications.Advances in biochemical engineering/biotechnology · 2022
    Review
  15. Review
  16. Article
  17. Rapid Detection Methods for Bacterial Pathogens in Ambient Waters at the Point of Sample Collection: A Brief Review.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Review
  18. Article
  19. 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

6 authors.

Xingyu LinLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.ORCID 0000-0002-0950-0736
Xiao HuangLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.ORCID 0000-0002-3737-6939
Yanzhe ZhuLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.ORCID 0000-0002-2260-1830
Katharina UrmannLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.
Xing XieLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.ORCID 0000-0002-2253-0964
Michael R HoffmannLinde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we introduce an asymmetric membrane as a simple and robust nanofluidic platform for digital detection of single pathogenic bacteria directly in 10 mL of unprocessed environmental water samples. The asymmetric membrane, consisting of uniform micropores on one side and a high density of vertically aligned nanochannels on the other side, was prepared within 1 min by a facile method. The single membrane covers all the processing steps from sample concentration, purification, and partition to final digital loop-mediated isothermal amplification (LAMP). By simple filtration, bacteria were enriched and partitioned inside the micropores, while inhibitors typically found in the environmental samples ( i.e., proteins, heavy metals, and organics) were washed away through the nanochannels. Meanwhile, large particles, indigenous plankton, and positively charged pollutants in the samples were excluded by using a sacrificial membrane stacked on top. After initial filtration, modified LAMP reagents, including NaF and lysozyme, were loaded onto the membrane. Each pore in the asymmetric membrane functioned as an individual nanoreactor for selective, rapid, and efficient isothermal amplification of single bacteria, generating a bright fluorescence for direct counting. Even though high levels of inhibitors were present, absolute quantification of Escherichia coli and Salmonella directly in an unprocessed environmental sample (seawater and pond water) was achieved within 1 h, with sensitivity down to single cell and a dynamic range of 0.3-10000 cells/mL. The simple and low-cost analysis platform described herein has an enormous potential for the detection of pathogens, exosomes, stem cells, and viruses as well as single-cell heterogeneity analysis in environmental, food, and clinical research.

Indexed as

Water MicrobiologyCells, CulturedEscherichia coliSalmonella typhiasymmetric membranedigital LAMPnanofluidicspathogen detectionsingle-molecule counting

Identifiers

PMID30211534
PMCPMC6202633

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.