Evidence map›Paper›PMID 32516942›Full record

ArticleFoods (Basel, Switzerland)2020

Quantification of Morpholine in Peel and Pulp of Apples and Oranges by Gas Chromatography-Mass Spectrometry.

Kunho An, Inhwan Kim, Chan Lee, Joon-Kwan Moon, Hee-Jae Suh, Jihyun Lee

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Kunho AnDepartment of Food Science and Technology, Chung-Ang University, Anseong 17546, Korea.
Inhwan KimDepartment of Food Science and Technology, Chung-Ang University, Anseong 17546, Korea.
Chan LeeDepartment of Food Science and Technology, Chung-Ang University, Anseong 17546, Korea.ORCID 0000-0003-2155-7732
Joon-Kwan MoonDepartment of Plant Life and Environmental Science, Hankyong National University, Anseong 17579, Korea.
Hee-Jae SuhDepartment of Food Science, Sun Moon University, Asan-si, Chungcheongnam-do 31460, Korea.
Jihyun LeeDepartment of Food Science and Technology, Chung-Ang University, Anseong 17546, Korea.ORCID 0000-0001-5693-0109
Chung-Ang University · KRHankyong National University · KRSun Moon University · KR

Funding

Ministry of Food and Drug Safety 18162MFDS009
6 · The paper itself

Abstract

Morpholine salts of fatty acids have been used in wax coatings on the surfaces of fruit and vegetable commodities in China and the United States, etc. However, morpholine usage was prohibited in many other countries because of safety concerns. We optimized analytical methods to determine morpholine in the peel and pulp of fruits and vegetables by gas chromatography-mass spectrometry (GC-MS). This morpholine analysis method was applied to real samples of apples, citrus fruits, and vegetables from Korea, China, and the U.S. The method was validated using apple and citrus fruit peels and pulp. The method detection limit (MDL) was 1.3-3.3 µg/kg. The recovery rates of morpholine were 88.6-107.2% over a fortified level of 10-400 µg/kg. Intra-day and inter-day precisions were 1.4-9.4% and 1.5-2.8%, respectively. The morpholine concentrations were n.d. (not detected)-11.19 and n.d. (not detected)-12.82 µg/kg in apple and citrus peels, respectively. Morpholine was not detected in citrus or apple pulp samples or in vegetable samples.

Indexed as

applescitrusfood additivesGC-MSmorpholineorangespeel

Identifiers

PMID32516942
PMCPMC7353532
OpenAlexW3032956479

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.