Evidence map›Paper›PMID 41069770›Full record

ArticleInternational journal of food science2025

Optimization of Enzymatic Extraction and Vacuum-Assisted Evaporation Parameters for Banana Syrup Production.

Narathip Sujinda, Natthiya Chaichana, Thanapon Saengsuwan, Jaturapatr Varith

Abstract read
In one paragraph

Article in International journal of food science, 2025. 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
–field-weighted citation impact
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.

  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

4 authors.

Narathip SujindaFaculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom, Thailand, ku.ac.th.ORCID https://orcid.org/0000-0002-6657-3261
Natthiya ChaichanaScience Program, Faculty of Education, Chiang Rai Rajabhat University, Chiang Rai, Thailand.ORCID https://orcid.org/0009-0009-4309-3255
Thanapon SaengsuwanEnergy Engineering and Electric Technology Program, Faculty of Industrial Technology, Chiang Rai Rajabhat University, Chiang Rai, Thailand.ORCID https://orcid.org/0000-0003-1283-5454
Jaturapatr VarithFood Engineering Program, Faculty of Engineering and Agro-Industry, Maejo University, Chiang Mai, Thailand, mju.ac.th.ORCID https://orcid.org/0000-0002-3737-8352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bananas are a widely cultivated fruit with significant nutritional and economic value; however, postharvest losses remain a major concern. This study is aimed at developing an optimized process for enzymatic extraction to produce banana syrup. This requires an assessment of the influence exerted by different concentrations of pectinase and cellulase, as well as the effects of incubation time and temperature. To optimize the conditions, a Box-Behnken design (BBD) was used, while juice yield and soluble solids recovery were modeled using response surface methodology (RSM). The results indicate that a combination of 0.39% pectinase, 0.46% cellulase, 49.8°C incubation temperature, and 129.6 min of incubation time maximized juice yield (71.4%) and soluble solids recovery (22.3%). The quality of syrup was maintained through the use of vacuum evaporation at 40°C and 100 kPa, ensuring the preservation of viscosity and clarity while minimizing browning. The results imply that both enzymatic extraction and vacuum evaporation offer potential for application within the food sector as a means to enhance production, cut wastage, and promote greater efficiency.

Indexed as

banana syrupcellulaseenzymatic extractionpectinasevacuum evaporation

Identifiers

PMID41069770
PMCPMC12505192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.