Evidence map›Paper›PMID 38192713›Full record

ArticleJournal of food science and technology2024

A SMART methodology for assessment of hexanal in potato crisps using electronic nose technology: sensor screening by scalar machine learning classifier method.

Anupama Bose, Nabarun Bhattacharyya, Paramita Bhattacharjee

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of food science and technology, 2024. 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
0.2field-weighted citation impact, top 51% of its field
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, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Anupama BoseDepartment of Food Technology and Biochemical Engineering, Jadavpur University, Kolkata, 700 032 India.
Nabarun BhattacharyyaCentre for Development of Advanced Computing (C-DAC), E-2/1 Block-GP, Sector-V, Salt Lake, Kolkata, 700091 India.
Paramita BhattacharjeeDepartment of Food Technology and Biochemical Engineering, Jadavpur University, Kolkata, 700 032 India.ORCID 0000-0002-5620-1675
Jadavpur University · INCentre for Development of Advanced Computing · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a pertinent need to develop a rapid and accurate methodology for the detection of the onset and the progression of rancidity in the most popular savory product worldwide, Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-023-05831-y.

Indexed as

Correlation equationElectronic noseHexanalPotato crispsSupport vector machines

Identifiers

PMID38192713
PMCPMC10771541
OpenAlexW4388971336

What OpenQuestion holds

Textmetadata
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.