Evidence map›Paper›PMID 33947396›Full record

ArticleBMC biotechnology2021

Optimization and scale-up of α-amylase production by Aspergillus oryzae using solid-state fermentation of edible oil cakes.

M Balakrishnan, G Jeevarathinam, S Kiran Santhosh Kumar, Iniyakumar Muniraj, Sivakumar Uthandi

Abstract readEvaluation Study
In one paragraph

Article in BMC biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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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

29 citing papers in PubMed.

  1. Article
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  5. Computational and structural biotechnology journal · 2026
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  7. Article
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  9. Article
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  16. Journal of fungi (Basel, Switzerland) · 2024
    Review
  17. Microorganisms · 2024
    Review
  18. Article
  19. Article
  20. Review
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.

M BalakrishnanDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India. bala_tnau@yahoo.com.
G JeevarathinamDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India.
S Kiran Santhosh KumarDepartment of Food Process Engineering, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India.
Iniyakumar MunirajBiocatalysts Laboratory, Department of Agricultural Microbiology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India.
Sivakumar UthandiBiocatalysts Laboratory, Department of Agricultural Microbiology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India. usivakumartnau@gmail.com.ORCID 0000-0002-7116-1317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmylases produced by fungi during solid-state fermentation are the most widely used commercial enzymes to meet the ever-increasing demands of the global enzyme market. The use of low-cost substrates to curtail the production cost and reuse solid wastes are seen as viable options for the commercial production of many enzymes. Applications of α-amylases in food, feed, and industrial sectors have increased over the years. Additionally, the demand for processed and ready-to-eat food has increased because of the rapid growth of food-processing industries in developing economies. These factors significantly contribute to the global enzyme market. It is estimated that by the end of 2024, the global α-amylase market would reach USD 320.1 million (Grand View Research Inc., 2016). We produced α-amylase using Aspergillus oryzae and low-cost substrates obtained from edible oil cake, such as groundnut oil cake (GOC), coconut oil cake (COC), sesame oil cake (SOC) by solid-state fermentation. We cultivated the fungus using these nutrient-rich substrates to produce the enzyme. The enzyme was extracted, partially purified, and tested for pH and temperature stability. The effect of pH, incubation period and temperature on α-amylase production using A. oryzae was optimized. Box-Behnken design (BBD) of response surface methodology (RSM) was used to optimize and determine the effects of all process parameters on α-amylase production. The overall cost economics of α-amylase production using a pilot-scale fermenter was also studied.

resultsThe substrate optimization for α-amylase production by the Box-Behnken design of RSM showed GOC as the most suitable substrate for A. oryzae, as evident from its maximum α-amylase production of 9868.12 U/gds. Further optimization of process parameters showed that the initial moisture content of 64%, pH of 4.5, incubation period of 108 h, and temperature of 32.5 °C are optimum conditions for α-amylase production. The production increased by 11.4% (10,994.74 U/gds) by up-scaling and using optimized conditions in a pilot-scale fermenter. The partially purified α-amylase exhibited maximum stability at a pH of 6.0 and a temperature of 55 °C. The overall cost economic studies showed that the partially purified α-amylase could be produced at the rate of Rs. 622/L.

conclusionsThe process parameters for enhanced α-amylase secretion were analyzed using 3D contour plots by RSM, which showed that contour lines were more oriented toward incubation temperature and pH, having a significant effect (p < 0.05) on the α-amylase activity. The optimized parameters were subsequently employed in a 600 L-pilot-scale fermenter for the α-amylase production. The substrates were rich in nutrients, and supplementation of nutrients was not required. Thus, we have suggested an economically viable process of α-amylase production using a pilot-scale fermenter.

Indexed as

alpha-AmylasesAspergillus oryzaeBioreactorsCulture MediaEnzyme StabilityFermentationFungal ProteinsHydrogen-Ion ConcentrationIndustrial MicrobiologyPlant OilsTemperatureWaste Productsalpha-AmylasesCulture MediaFungal ProteinsPlant OilsWaste ProductsAspergillus oryzaeEdible oil cakePilot-scale fermenterSolid-state fermentationα-Amylase

Identifiers

PMID33947396
PMCPMC8094467

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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.