Evidence map›Paper›PMID 36905039›Full record

ArticleSensors (Basel, Switzerland)2023

An Optimized Active Sampling Procedure for Aerobiological DNA Studies.

Jyothi Basapathi Raghavendra, Thasshwin Mathanlal, Maria-Paz Zorzano, Javier Martin-Torres

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

4 authors.

Jyothi Basapathi RaghavendraDepartment of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.
Thasshwin MathanlalDepartment of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.
Maria-Paz ZorzanoCentro de Astrobiología (CSIC-INTA), Torrejon de Ardoz, 28850 Madrid, Spain.ORCID 0000-0002-4492-9650
Javier Martin-TorresDepartment of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.

Funding

Allan and Norma Young Grant CF95052-11Internal funding to Pump-prime Interdisciplinary Research and Impact Activities SF10237-56MCIN/AEI/ 10.13039/501100011033 PID2019-104205GB-C21Natural Environment Research Council RG14832-41
6 · The paper itself

Abstract

The Earth's atmosphere plays a critical role in transporting and dispersing biological aerosols. Nevertheless, the amount of microbial biomass in suspension in the air is so low that it is extremely difficult to monitor the changes over time in these communities. Real-time genomic studies can provide a sensitive and rapid method for monitoring changes in the composition of bioaerosols. However, the low abundance of deoxyribose nucleic acid (DNA) and proteins in the atmosphere, which is of the order of the contamination produced by operators and instruments, poses a challenge for the sampling process and the analyte extraction. In this study, we designed an optimized, portable, closed bioaerosol sampler based on membrane filters using commercial off-the-shelf components, demonstrating its end-to-end operation. This sampler can operate autonomously outdoors for a prolonged time, capturing ambient bioaerosols and avoiding user contamination. We first performed a comparative analysis in a controlled environment to select the optimal active membrane filter based on its ability to capture and extract DNA. We have designed a bioaerosol chamber for this purpose and tested three commercial DNA extraction kits. The bioaerosol sampler was tested outdoors in a representative environment and run for 24 h at 150 L/min. Our methodology suggests that a 0.22-µm polyether sulfone (PES) membrane filter can recover up to 4 ng of DNA in this period, sufficient for genomic applications. This system, along with the robust extraction protocol, can be automated for continuous environmental monitoring to gain insights into the time evolution of microbial communities within the air.

Indexed as

Environmental MonitoringAerosolsDNAAerosolsDNAactive samplingair-filtrationbioaerosolscommercial off-the shelf (COTS)DNA extraction

Identifiers

PMID36905039
PMCPMC10006969

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
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.