Evidence map›Paper›PMID 39435112›Full record

ArticleHeliyon2024

A spectroscopy-based proof-of-concept (POC) for developing loading of pathogen analyzer (LOPA) for dairy products.

Lopamudra Roy, Amrita Banerjee, Nivedita Pan, Ria Ghosh, Susmita Mondal, Monojit Das, Md Nur Hasan, Soumendra Singh, Arpita Chattopadhyay, Kallol Bhattacharyya and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Lopamudra RoyTechnical Research Centre, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Amrita BanerjeeTechnical Research Centre, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Nivedita PanDepartment of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Ria GhoshDepartment of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Susmita MondalDepartment of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Monojit DasDepartment of Zoology, Vidyasagar University, Rangamati, Midnapore, 721102, India.
Md Nur HasanDepartment of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Soumendra SinghDalhousie University, 5850 College, Halifax, NS, B3H4H7, Canada.
Arpita ChattopadhyayDepartment of Basic Science and Humanities, Techno International New Town Block, DG 1/1, Action Area 1 New Town, Rajarhat, Kolkata, 700156, India.
Kallol BhattacharyyaUniversity of Calcutta, Department of Applied Optics and Photonics, JD-2, Sector-III, Salt Lake, Kolkata, West Bengal, 700 106, India.
Soumen MondalTechnical Research Centre, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
Samir Kumar PalTechnical Research Centre, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of bacterial contamination in dairy products of daily use is a challenge worldwide. We have utilized Methylene Blue Reduction Test (MBRT) for quantification of the microbial count in dairy products (milk) and developed a proof-of-concept (POC) based on this for in-filed applications. In this study, we have used pasteurized milk contaminated with model bacteria

Indexed as

Bacterial contaminationColorimetric sensingPaper-based sensorQuantitative detectionSpectroscopy-based POC

Identifiers

PMID39435112
PMCPMC11492438

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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.