Evidence map›Paper›PMID 34436374›Full record

ArticleMembranes2021

Membrane Fouling Behavior of Forward Osmosis for Fruit Juice Concentration.

Zihe Li, Chongde Wu, Jun Huang, Rongqing Zhou, Yao Jin

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2021. 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
1.5field-weighted citation impact, top 19% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
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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

5 authors at 1 institution in 1 country.

Zihe LiCollege of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
Chongde WuCollege of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
Jun HuangCollege of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
Rongqing ZhouCollege of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
Yao JinCollege of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
Sichuan University · CN

Funding

Fundamental Research Funds for the Central Universities YJ201835National Natural Science Foundation of China 21978175Sichuan Province Science and Technology Support Program 2019YJ0109
6 · The paper itself

Abstract

Forward osmosis (FO) technology has a broad application prospect in the field of liquid food concentration because of the complete retention of flavor components and bioactive substances. Membrane fouling is the main obstacle affecting the FO performance and concentration efficiency. This work systematically investigated the membrane fouling behavior of the FO process for fruit juice concentration elucidated by the models of resistance-in-series, xDLVO theory and FTIR analysis. The results show that the AL-FS mode was more suitable for concentrating orange juice. Increasing the cross-flow rate and pretreatment of feed solutions can effectively improve the water flux and reduce the fouling resistance. The ATR-FTIR analysis revealed that the fouling layer of orange juice was mainly composed of proteins and polysaccharides, and the pretreatment of microfiltration can greatly reduce the content of the major foulant. There was an attractive interaction between the FO membrane and orange juice foulants; by eliminating those foulants, the microfiltration pretreatment then weakened such an attractive interaction and effectively prevented the fouling layer from growing, leading to a lower process resistance and, finally, resulting in a great improvement of concentration efficiency.

Indexed as

forward osmosisfruit juice concentrationmembrane foulingxDLVO

Identifiers

PMID34436374
PMCPMC8398857
OpenAlexW3188226503

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.