Evidence map›Paper›PMID 36618051›Full record

ArticleJournal of food science and technology2023

Amperometric microbial biosensor for sugars and sweetener classification using principal component analysis in beverages.

Lazuardi Umar, Vira Annisa Rosandi, Rahmondia Nanda Setiadi, Beny Agustirandi, Tetty Marta Linda, Bambang Kuswandi

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

Article in Journal of food science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Machine Learning in Bioelectrocatalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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 2 institutions in 1 country.

Lazuardi UmarPhysics Department, Faculty of Mathematic and Natural Sciences, University of Riau, Pekanbaru, 28293 Indonesia.ORCID 0000-0003-0263-1706
Vira Annisa RosandiPhysics Department, Faculty of Mathematic and Natural Sciences, University of Riau, Pekanbaru, 28293 Indonesia.
Rahmondia Nanda SetiadiPhysics Department, Faculty of Mathematic and Natural Sciences, University of Riau, Pekanbaru, 28293 Indonesia.
Beny AgustirandiPhysics Department, Faculty of Mathematic and Natural Sciences, University of Riau, Pekanbaru, 28293 Indonesia.
Tetty Marta LindaBiology Department, Faculty of Mathematic and Natural Sciences, University of Riau, Pekanbaru, 28293 Indonesia.
Bambang KuswandiChemo and Biosensors Group, Faculty of Pharmacy, University of Jember, Jl. Kalimantan 37, Jember, 68121 Indonesia.
Riau University · IDUniversitas Jember · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugar and artificial sweeteners are additives in packaged food and beverage products that are widely used, where excessive sugar consumption can cause an increase in various diseases. Detection and classification of natural sugars sucrose, fructose, glucose, and artificial sweetener aspartame are needed to determine the effects of consuming these sweeteners. This study uses an amperometric biosensor integrated biochip-D, which uses Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05625-8.

Indexed as

Amperometric biosensorDissolved oxygenPrincipal component analysisSaccharomyces cerevisiaeSugar

Identifiers

PMID36618051
PMCPMC9813324
OpenAlexW4310079551

What OpenQuestion holds

Textmetadata
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.