Evidence map›Paper›PMID 37286858›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2023

Development of the paper-based colorimetric sensor for simple and fast determination of quercetin in guava leaf extract.

Mochammad Amrun Hidayat, Alfiatur Rohmah, Indah Yulia Ningsih, Bambang Kuswandi

Abstract read
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In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Mochammad Amrun HidayatChemo and Biosensor Group, Faculty of Pharmacy, University of Jember, Jember, Indonesia. amrun.farmasi@unej.ac.id.ORCID http://orcid.org/0000-0002-9848-2217
Alfiatur RohmahChemo and Biosensor Group, Faculty of Pharmacy, University of Jember, Jember, Indonesia.
Indah Yulia NingsihChemo and Biosensor Group, Faculty of Pharmacy, University of Jember, Jember, Indonesia.ORCID http://orcid.org/0000-0001-6745-7564
Bambang KuswandiChemo and Biosensor Group, Faculty of Pharmacy, University of Jember, Jember, Indonesia.ORCID http://orcid.org/0000-0002-1983-6110
Universitas Jember · ID

Funding

Universitas Jember 6322/UN25.3.1/LT/2022
6 · The paper itself

Abstract

This present study aimed to develop a paper-based colorimetric sensor in the form of paper-microzone plates (PµZP), for simple and fast quercetin determination in guava leaf extract samples. Here, N-bromosuccinimide (NBS) solution was immobilized on the microzone as a sensing probe, where quercetin solution can be dropped on it to form red-purplish color adducts which can be seen by the naked eye or captured using a flatbed scanner. The color intensity of the microzone can be quantified against a blank solution and used as analytical data in scanometric assay. The sensor showed a response time of 8 min, a linear interval of 1-10 mM with a detection limit at 1.274 mM toward quercetin, and exhibited good reproducibility (RSD < 1%) and accuracy (98-99% recovery). The quercetin level of guava leaf extract determined by the PµZP-scanometric method was found comparable with that of the TLC-densitometric method, suggesting its use as an alternative method for quercetin analysis in the guava leaf extract.

Indexed as

PsidiumQuercetinColorimetryPlant ExtractsReproducibility of ResultsPlant ExtractsQuercetinColorimetric sensorGuava leaf extractNBSQuercetin

Identifiers

PMID37286858
OpenAlexW4379745979

What OpenQuestion holds

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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.