Evidence map›Paper›PMID 35954033›Full record

ArticleFoods (Basel, Switzerland)2022

Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications.

Leonardo Ciaccheri, Barbara Adinolfi, Andrea Azelio Mencaglia, Anna Grazia Mignani

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. 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
0.2field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Leonardo CiaccheriIstituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
Barbara AdinolfiIstituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
Andrea Azelio MencagliaIstituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-0372-7614
Anna Grazia MignaniIstituto di Fisica Applicata "Nello Carrara" (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy.
Nello Carrara Institute of Applied Physics · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unsaturated fatty acids are renowned for their beneficial effects on the cardiovascular system. The high content of unsaturated fatty acids is a benefit of vegetable fats and an important nutraceutical indicator. The ability to quickly check fat composition of an edible oil could be advantageous for both consumers and retailers. A Bluetooth-connected pocket spectrometer operating in NIR band was used for analyzing olive oils of different qualities. Reference data for fatty acid composition were obtained from a certified analytical laboratory. Chemometrics was used for processing data, and predictive models were created for determining saturated and unsaturated fatty acid content. The NIR spectrum also demonstrated good capability in classifying extra virgin and non-extra virgin olive oils. The pocket spectrometer used in this study has a relatively low cost, which makes it affordable for a wide class of users. Therefore, it may open the opportunity for quick and non-destructive testing of edible oil, which can be of interest for consumer, retailers, and for small/medium-size producers, which lack easy access to conventional analytics.

Indexed as

chemometricsinfrared spectroscopyolive oil fatty acidsportable spectrometers

Identifiers

PMID35954033
PMCPMC9368343
OpenAlexW4289135181

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.