Evidence map›Paper›PMID 35750867›Full record

ArticleBioprocess and biosystems engineering2022

Kinetic model supported improved and optimized submerged production strategy of cellulase enzyme from newspaper waste biomass.

Pinaki Dey, Sankha Chakrabortty, Dibyajyoti Haldar, A Sowmya, Vivek Rangarajan, Héctor A Ruiz

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 2 countries.

Pinaki DeyDepartment of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641114, India. saspinaki@gmail.com.ORCID http://orcid.org/0000-0001-9380-3758
Sankha ChakraborttySchool of Chemical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, 751024, India.
Dibyajyoti HaldarDepartment of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641114, India.
A SowmyaDepartment of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, 641114, India.
Vivek RangarajanDepartment of Chemical Engineering, BITS Pilani, KK Birla Goa Campus, Sancoale, Goa, 403726, India.
Héctor A RuizBiorefinery Group, Food Research Department, Faculty of Chemistry Sciences, Autonomous University of Coahuila, 25280, Saltillo, Coahuila, Mexico.
Karunya University · INBirla Institute of Technology and Science, Pilani - Goa Campus · INKIIT University · INUniversidad Autónoma de Coahuila · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic evaluation of microorganism's potential towards biosynthesis of cellulases from inexpensive lignocellulosic feedstock through appropriate kinetic modelling facilitates understanding, optimization and designing of an effective industrial cellulase enzyme production process. The present study aims to optimize a submerged fungal cultivation strategy for cellulase production from abundantly available newspaper wastes (NPW). A combined pretreatment strategy consisting diluted, 1% (v v

Indexed as

CellulaseCellulasesBiomassFermentationLactosePeptonesCellulaseCellulasesLactosePeptonesCellulaseExoglucanaseFermentationKinetic modelNewspaper wasteOptimization

Identifiers

PMID35750867
OpenAlexW4283445679

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.