Evidence map›Paper›PMID 38560682›Full record

ArticleHeliyon2024

Fabrication of freshness indicators based on methylcellulose-containing color indicator solutions for monitoring the quality of coconut water.

Andi Dirpan, Jumriah Langkong, Amran Laga, Muspirah Djalal, Matthew Khosuma, Nandita Irsaulul Nurhisna, Meysi Azkiyah

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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
0.6field-weighted citation impact, top 40% 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, 4 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 3 countries.

Andi DirpanDepartment of Agricultural Technology, Faculty of Agriculture, Hasanuddin University, Makassar, 90245, Indonesia.
Jumriah LangkongDepartment of Agricultural Technology, Faculty of Agriculture, Hasanuddin University, Makassar, 90245, Indonesia.
Amran LagaDepartment of Agricultural Technology, Faculty of Agriculture, Hasanuddin University, Makassar, 90245, Indonesia.
Muspirah DjalalDepartment of Agricultural Technology, Faculty of Agriculture, Hasanuddin University, Makassar, 90245, Indonesia.
Matthew KhosumaResearch Group for Post-Harvest Technology and Biotechnology, Makassar, 90245, Indonesia.
Nandita Irsaulul NurhisnaResearch Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea.
Meysi AzkiyahDepartment of Agrotechnology and Food Science, Wageningen University & Research, 6708, PB, Wageningen, the Netherlands.
Hasanuddin University · IDIndonesian Agency for Agricultural Research and Development · IDSeoul National University · KRWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is the first study to apply intelligent packaging to coconut water. The purpose of this study was to determine the best color indicator solution for making freshness indicator labels based on methylcellulose along with the color change profile of coconut water during storage at room temperature. Three color indicator solutions were used, namely phenol red, bromothymol blue, and methyl red, which were then continued with the fabrication of freshness indicator labels based on methylcellulose from each of these color indicator solutions and applied to coconut water at 25

Indexed as

Bromothymol blueCO2 gasCoconut waterFreshnessIndicator labelMethylcelluloseMethyl redPhenol red

Identifiers

PMID38560682
PMCPMC10979229
OpenAlexW4392881314

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.