Evidence map›Paper›PMID 41073859›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Optimizing Digital PCR Assays for Multiplexed Microbial Source Tracking in Surface Waters.

Shimul Ghosh, Aaron Bivins

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

2 authors.

Shimul GhoshDepartment of Civil & Environmental Engineering, Louisiana State University, Baton Rouge, LA, USA.
Aaron BivinsDepartment of Civil & Environmental Engineering, Louisiana State University, Baton Rouge, LA, USA. abivins@lsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital PCR (dPCR) shows great promise for precise, sensitive, and inhibition-resilient measurement of nucleic acids in surface water, providing an advantage for applications such as microbial source tracking (MST). Herein, we describe our empirical optimization of two triplex format dPCR reactions for MST (Triplex 1-Cow M2, Rum2Bac, Cow M3 and Triplex 2-HF183/BacR287, Pig2Bac, Entero1a) on the QIAcuity One system. Each triplex provides gene copy measurements similar to those obtained from single-plex format assays for a standard reference material (SRM 2917) at a fixed concentration and along a concentration gradient. On water samples previously tested by single-plex assays, each triplex also produces MST marker measurements comparable to the single-plex results. The triplexes we describe here can be directly adopted for MST on the QIAcuity, or the optimization protocol we demonstrate can be used to develop additional multiplex assays on the QIAcuity system.

Indexed as

BacteriaEnvironmental MonitoringMultiplex Polymerase Chain ReactionPolymerase Chain ReactionWater MicrobiologyCow M2Cow M3Digital PCREntero1aHF183/BacR287Microbial source trackingMultiplexPig2BacQIAcuityDeviceQIAcuityRum2Bac

Identifiers

What OpenQuestion holds

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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.