Evidence map›Paper›PMID 32670809›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2020

Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology.

Santhana Krishnan, B Noor Suzana, Zularisam Abdul Wahid, Mohd Nasrullah, Mimi Sakinah Abdul Munaim, Mohd Fadhil Bin Md Din, Shazwin Mat Taib, Yu You Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2020. 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
–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

3 citing papers in PubMed.

  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

8 authors.

Santhana KrishnanCenter of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia.
B Noor SuzanaFaculty of Chemical Engineering and Natural Resources, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan Pahang, Malaysia.
Zularisam Abdul WahidFaculty of Civil Engineering Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan, Pahang, Malaysia.
Mohd NasrullahFaculty of Civil Engineering Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan, Pahang, Malaysia.
Mimi Sakinah Abdul MunaimFaculty of Chemical Engineering and Natural Resources, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan Pahang, Malaysia.
Mohd Fadhil Bin Md DinCenter of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia.
Shazwin Mat TaibCenter for Coastal and Ocean Engineering, Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia.
Yu You LiDepartment of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai, 980-8579, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of the xylose reductase (XR) enzyme in the development of biotechnology demands an efficient and large scale enzyme separation technique. The aim of this present work was to optimize xylose reductase (XR) purification process through ultrafiltration membrane (UF) technology using Central composite design (CCD) of response surface methods (RSM). The three effective parameters analyzed were filtration time (0-100), transmembrane pressure (TMP) (1-1.6 bar), cross flow velocity (CFV) (0.52-1.2 cm/s

Indexed as

Central composite design (CCD)Cross flow techniqueUltrafiltration (UF)Xylose reductase (XR)

Identifiers

PMID32670809
PMCPMC7341114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.