Evidence map›Paper›PMID 37007842›Full record

ArticleInternational journal of food science2023

Detection of Markers in Green Beans and Roasted Beans of Kalosi-Enrekang Arabica Coffee with Different Postharvest Processing Using LC-MS/MS.

Yulianti Yulianti, Dede Robiatul Adawiyah, Dian Herawati, Dias Indrasti, Nuri Andarwulan

Open access · goldAbstract read
In one paragraph

Article in International journal of food science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Yulianti YuliantiDepartment of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, IPB Dramaga Campus, Bogor 16680, Indonesia.ORCID https://orcid.org/0000-0002-3082-8752
Dede Robiatul AdawiyahDepartment of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, IPB Dramaga Campus, Bogor 16680, Indonesia.ORCID https://orcid.org/0000-0003-0586-7183
Dian HerawatiDepartment of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, IPB Dramaga Campus, Bogor 16680, Indonesia.ORCID https://orcid.org/0000-0002-1354-618X
Dias IndrastiDepartment of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, IPB Dramaga Campus, Bogor 16680, Indonesia.ORCID https://orcid.org/0000-0002-9087-4160
Nuri AndarwulanDepartment of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, IPB Dramaga Campus, Bogor 16680, Indonesia.ORCID https://orcid.org/0000-0002-0065-6283
IPB University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study is aimed at evaluating the effect of postharvest processing (natural, honey, and fully washed) on the compounds profile in green beans and roasted beans of Kalosi-Enrekang Arabica coffee and determining the marker compounds for each process. These beans were extracted using boiling water, and the extract was analyzed using LC-MS/MS. The results of this work confirmed the significant impact of postharvest processing on compounds in the coffee beans, and each process has a marker compound. Green beans by natural processing have 3 marker compounds, honey processing has 6 marker compounds, and fully washed processing has 2 marker compounds. Meanwhile, roasted beans by natural processing have 4 marker compounds, honey processing has 5 marker compounds, and fully washed processing has 7 marker compounds. In addition, our research identified caffeoyl tyrosine in green beans from natural and honey processing, which was previously only identified in Robusta coffee. These marker compounds can differentiate postharvest processing (natural, honey, and fully washed). These results can also help understand the effect of postharvest processing on the chemical composition of green and roasted beans.

Identifiers

PMID37007842
PMCPMC10063361
OpenAlexW4360610145

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.