Evidence map›Paper›PMID 42077846›Full record

ArticleACS omega2026

The Integration of Focused Ultrasonication, ddPCR, and Flow Cytometry Effectively Estimates Genome Copies per Cell and Enhances DNA Extraction Efficiency in

Guilherme L Pinheiro, Nancy J Lin, Kirsten H Parratt, Ian Hines, Holly R Hack, Stephanie L Servetas, Hariharan Iyer, Sandra M Da Silva

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guilherme L PinheiroNational Institute of Metrology, Quality and Technology, Rio de Janeiro 25250-020, Brazil.ORCID https://orcid.org/0000-0002-0377-666X
Nancy J LinBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.
Kirsten H ParrattBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.ORCID https://orcid.org/0000-0002-2640-3276
Ian HinesBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.
Holly R HackBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.ORCID https://orcid.org/0009-0003-3903-6035
Stephanie L ServetasBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.
Hariharan IyerStatistical Engineering Division, Information Technology Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.
Sandra M Da SilvaBiosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards & Technology, Gaithersburg, Maryland 20899, United States.ORCID https://orcid.org/0000-0002-7121-7544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiology researchers rely on nucleic acid measurement techniques, such as the quantitative polymerase chain reaction (qPCR) and DNA sequencing, to address diverse scientific and practical challenges. These applications range from detecting microbial contaminants in regenerative medicine and biotherapeutic products to advancing waste remediation, pathogen detection, biosurveillance, and microbiome studies. A critical step in these techniques is DNA extraction, which involves breaking cells to release their DNA as the required input for downstream analyses. The efficiency of this process, known as DNA extraction efficiency (DEE), directly impacts the accuracy of quantitative measurements and, therefore, the interpretation of results. Unfortunately, most DNA extraction methods suffer from suboptimal efficiency that varies across microbial strains, potentially leading to inaccurate results. In this paper, we present a highly efficient DNA extraction protocol leveraging adaptive focused acoustics (AFA) technology to achieve a balance between cell lysis and DNA integrity. Using

Identifiers

PMID42077846
PMCPMC13129870

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Registered trials

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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.