Evidence map›Paper›PMID 36365901›Full record

ArticleSensors (Basel, Switzerland)2022

Growth Prediction of the Total Bacterial Count in Freshly Squeezed Strawberry Juice during Cold Storage Using Electronic Nose and Electronic Tongue.

Jing-Wen Zhang, Lei-Qing Pan, Kang Tu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Jing-Wen ZhangCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Lei-Qing PanCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0001-5587-3544
Kang TuCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Nanjing Agricultural University · CN

Funding

Nanjing Agricultural University BE2019312Nanjing Agricultural University PAPD
6 · The paper itself

Abstract

The growth models of total bacterial count in freshly squeezed strawberry juice were established by gas and taste sensors in this paper. By selecting the optimal sensors and fusing the response values, the Modified Gompertz, Logistic, Huang and Baranyi models were used to predict and simulate the growth of bacteria. The results showed that the R

Indexed as

Electronic NoseFragariaBacterial LoadTasteTongueE-noseE-tonguefreshly squeezed strawberry juicepredictive microbiologytotal bacterial count

Identifiers

PMID36365901
PMCPMC9654945
OpenAlexW4307547031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.