Evidence map›Paper›PMID 42132577›Full record

ArticleThe Analyst2026

Quantitative analysis of sequential nucleic acid elution from silica paramagnetic beads.

Asher Varon, Justin Schares, Kuangwen Hsieh, Bradley Downs, Tza-Huei Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Analyst, 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

5 authors.

Asher VaronDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. thwang@jhu.edu.ORCID http://orcid.org/0009-0004-1753-6407
Justin ScharesCorteva Agriscience, Johnston, IA 50131, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. thwang@jhu.edu.
Bradley DownsInstitute for NanoBiotechnology, Johns Hopkins University, Baltimore, MD 21218, USA.
Tza-Huei WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. thwang@jhu.edu.ORCID http://orcid.org/0000-0002-3540-9354

Funding

Single-cell based diagnostic platform with single-molecular transcriptional response profiling for rapid phenotypic antimicrobial susceptibility testing of gonorrheaR01AI181217 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Tza-Huei Jeff Wang, SAMUEL YANG · 2024 to 2026
$2.3M
Integrated genotype-informed single-cell molecular antibacterial susceptibility testing platform for rapid and actionable diagnosis of bacteremiaR01AI183336 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Tza-Huei Jeff Wang · 2024 to 2026
$2.1M
NIAID NIH HHS R01 AI181217NIAID NIH HHS R01 AI183336
6 · The paper itself

Abstract

Paramagnetic bead-based capture and release is widely used for nucleic acid preparation in benchtop and automated workflows. In emerging magnetofluidic and cartridge-style point-of-care systems, sequential bead elution has only recently begun to be explored as a strategy to distribute limited nucleic acids across multiple reactions. In such designs, elution behavior becomes directly relevant to assay performance and multiplexing capacity. Here, we systematically examine multi-sequential elutions from silica paramagnetic beads and quantify each eluate by qPCR. We describe the data with a phenomenological, concentration-dependent, exponential-decay model and show that elution profiles depend on nucleic acid target size (soybean genomic DNA

Indexed as

DNAMicrospheresNucleic AcidsSilicon DioxideDNANucleic AcidsSilicon Dioxide

Identifiers

PMID42132577
PMCPMC13159523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.