Evidence map›Paper›PMID 35161972›Full record

ArticleSensors (Basel, Switzerland)2022

Quantitative Detection of Extra Virgin Olive Oil Adulteration, as Opposed to Peanut and Soybean Oil, Employing LED-Induced Fluorescence Spectroscopy.

Ting Zhang, Yuyang Liu, Zhuoping Dai, Lihan Cui, Hongze Lin, Zejian Li, Kaihua Wu, Guangyu Liu

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Ting ZhangSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Yuyang LiuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Zhuoping DaiSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Lihan CuiSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Hongze LinSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-1361-0663
Zejian LiZhejiang Key Laboratory of Design and Intelligence and Digital Creativity, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.
Kaihua WuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Guangyu LiuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

National Natural Science Foundation of China 62105085National Training Programs of Innovation and Entrepreneurship for Undergraduates 202010336046Zhejiang Provincial Natural Science Foundation of China LGF19H180005Zhejiang Provincial Natural Science Foundation of China LQ20F050006
6 · The paper itself

Abstract

As it is high in value, extra virgin olive oil (EVOO) is frequently blended with inferior vegetable oils. This study presents an optical method for determining the adulteration level of EVOO with soybean oil as well as peanut oil using LED-induced fluorescence spectroscopy. Eight LEDs with central wavelengths from ultra-violet (UV) to blue are tested to induce the fluorescence spectra of EVOO, peanut oil, and soybean oil, and the UV LED of 372 nm is selected for further detection. Samples are prepared by mixing olive oil with different volume fractions of peanut or soybean oil, and their fluorescence spectra are collected. Different pre-processing and regression methods are utilized to build the prediction model, and good linearity is obtained between the predicted and actual adulteration concentration. This result, accompanied by the non-destruction and no pre-treatment characteristics, proves that it is feasible to use LED-induced fluorescence spectroscopy as a way to investigate the EVOO adulteration level, and paves the way for building a hand-hold device that can be applied to real market conditions in the future.

Indexed as

ArachisSoybean OilFood ContaminationOlive OilPlant OilsSpectrometry, FluorescenceOlive OilPlant OilsSoybean Oiladulterationextra virgin olive oil (EVOO)fluorescence spectroscopyLED-induced fluorescencepre-processingUV LED

Identifiers

PMID35161972
PMCPMC8840102

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.