Evidence map›Paper›PMID 26761682›Full record

ArticleKorean journal for food science of animal resources2014

Application of Response Surface Methodology (RSM) for Optimization of Anti-Obesity Effect in Fermented Milk by Lactobacillus plantarum Q180.

Sun-Young Park, Seong-A Cho, Sang-Dong Lim

Open access · bronzeAbstract read
In one paragraph

Article in Korean journal for food science of animal resources, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Effects ofNutrients · 2020
    Trial
  3. 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

3 authors at 1 institution in 1 country.

Sun-Young ParkKorea Food Research Institute, Seongnam 463-746, Korea.
Seong-A ChoKorea Food Research Institute, Seongnam 463-746, Korea.
Sang-Dong LimKorea Food Research Institute, Seongnam 463-746, Korea.
Korea Food Research Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity, a condition in which an abnormally large amount of fat is stored in adipose tissue, causing an increase in body weight, has become a major public health concern worldwide. The purpose of this study was to optimize the process for fermented milk for the production of a functional product with an anti-obesity effect by using Lactobacillus plantarum Q180 isolated from human feces. We used a 3-factor, 3-level central composite design (CCD) combined with the response surface methodology (RSM). Concentration of skim milk powder (%, X1), incubation temperature (℃, X2), and incubation time (h, X3) were used as the independent factors, whereas pH (pH, Y1), anti-lipase activity (%, Y2) and anti-adipogenetic activity (%, Y3) were used as the dependent factors. The optimal conditions of fermented milk for the highest anti-lipase and antiadipogenetic activity with pH 4.4 were the 9.5% of skim milk powder, 37℃ of incubation temperature, 28 h of incubation time. In the fermentation condition, the predicted values of pH, anti-lipase activity and anti-adipogenetic activity were 4.47, 55.55, and 20.48%, respectively. However, the actual values of pH, anti-lipase activity and anti-adipogenetic activity were 4.50, 52.86, and 19.25%, respectively. These results demonstrate that 9.5% of skim milk powder and incubation at 37℃ for 28 h were the optimum conditions for producing functional fermented milk with an anti-obesity effect.

Indexed as

anti-adipogenetic activityanti-lipase activityLactobacillus plantarumoptimization

Identifiers

PMID26761682
PMCPMC4662200
OpenAlexW2067330940

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.