Evidence map›Paper›PMID 36850723›Full record

ArticleSensors (Basel, Switzerland)2023

Semi-Autonomic AI LF-NMR Sensor for Industrial Prediction of Edible Oil Oxidation Status.

Tatiana Osheter, Salvatore Campisi Pinto, Cristian Randieri, Andrea Perrotta, Charles Linder, Zeev Weisman

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
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

6 authors.

Tatiana OsheterPhyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel.
Salvatore Campisi PintoPhyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel.ORCID 0000-0001-8840-4648
Cristian RandierieCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy.ORCID 0000-0001-5300-3561
Andrea PerrottaeCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy.
Charles LinderPhyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel.
Zeev WeismanPhyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel.

Funding

Israeli Authority of Innovation 73815
6 · The paper itself

Abstract

The evaluation of an oil's oxidation status during industrial production is highly important for monitoring the oil's purity and nutritional value during production, transportation, storage, and cooking. The oil and food industry is seeking a real-time, non-destructive, rapid, robust, and low-cost sensor for nutritional oil's material characterization. Towards this goal, a

Indexed as

IndustryMagnetic Resonance ImagingAutonomic Nervous SystemCookingMachine Learningchemical standards of oil oxidationCNNdata miningmachine learningpattern recognitionself-diffusionT2 relaxation curve

Identifiers

PMID36850723
PMCPMC9962559

What OpenQuestion holds

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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.