Evidence map›Paper›PMID 35209052›Full record

ArticleMolecules (Basel, Switzerland)2022

Comparative Study on Volatile Compounds and Taste Components of Different Durian Cultivars Based on GC-MS, UHPLC, HPAEC-PAD, E-Tongue and E-Nose.

Zuobing Xiao, Minxing Niu, Yunwei Niu

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 36 citations in OpenAlex.

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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 2 institutions in 1 country.

Zuobing XiaoShanghai Institute of Technology, School of Perfume and Aroma Technology, Shanghai 201418, China.
Minxing NiuShanghai Institute of Technology, School of Perfume and Aroma Technology, Shanghai 201418, China.
Yunwei NiuShanghai Institute of Technology, School of Perfume and Aroma Technology, Shanghai 201418, China.
Shanghai Institute of Technology · CNShanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 31972196Program of Shanghai Academic Research Leader 21XD1423800Science and Technology Commission of Shanghai Municipality 21010503900
6 · The paper itself

Abstract

In order to comprehensively evaluate the aroma-active substances and taste components of durian, solid-phase microextraction combined with gas chromatography mass spectrometry (SPME/GC-MS), high-performance anion-exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and ultra-high-performance liquid chromatography (UHPLC) were used to test the key components of three popular durian cultivars. A total of 27 volatile compounds, 5 sugars, 27 organic acids and 19 free amino acids were detected in Black Thorn (BT) durian. A total of 38 volatile compounds, 4 sugars, 27 organic acids and 19 free amino acids were detected in Monthong (MT) durian. A total of 36 volatile compounds, 4 sugars, 27 organic acids and 20 free amino acids were detected in Musang King (MK) durian. Finally, the flavor differences of the three durians were evaluated using electronic nose (e-nose) and electronic tongue (e-tongue), and different cultivars were classified through principal component analysis (PCA).

Indexed as

Chromatography, High Pressure LiquidElectronic NoseGas Chromatography-Mass SpectrometryAmino AcidsBombacaceaeHumansPhytochemicalsTasteVolatile Organic CompoundsAmino AcidsPhytochemicalsVolatile Organic Compoundsduriane-nosee-tongueHPAEC-PADPCASPMEUHPLC

Identifiers

PMID35209052
PMCPMC8880792
OpenAlexW4212906274

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.