Bioenergy from bio-waste: a bibliometric analysis of the trend in scientific research from 1998–2018

Obileke, KeChrist; Onyeaka, Helen; Omoregbe, Osaze; Makaka, Golden; Nwokolo, Nwabunwanne; Mukumba, Patrick

doi:10.1007/s13399-020-00832-9

Cited by 23 publications

(26 citation statements)

References 32 publications

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“…Moreover, other researchers (Zhu and Liu, 2020) believe there is no concrete evidence on which index is better. In this study, WoS was used as a sole database to ensure consistency, avoid duplication and overlap in data collection (Obileke et al, 2020). In addition, WoS is widely used by global researchers in a variety of knowledge domains .…”

Section: Data Sources and Methodsmentioning

confidence: 99%

The surveillance and prediction of food contamination using intelligent systems: a bibliometric analysis

Lebelo¹,

Masinde

Malebo

et al. 2021

BFJ

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PurposeThis paper aims to report on the bibliometric research trends on the application of machine learning/intelligent systems in the prediction of food contamination and the surveillance of foodborne diseases.Design/methodology/approachIn this study, Web of Science (WoS) core collection database was used to retrieve publications from the year 1996–2021. Document types were classified according to country of origin, journals, citation and key research areas. The bibliometric parameters were analyzed using VOSviewer version 1.6.15 to visualize the international collaboration networks, citation density and link strength.FindingsA total of 516 articles across 6 document types were extracted with an average h-index of 51 from 10,570 citations. The leading journal in publications was Science of the Total Environment (3.6%) by Elsevier and the International Journal of Food Microbiology (2.5%). The United States of America (USA) (24%) followed by the People's Republic of China (17.2%) were the most influential countries in terms of publications. The top-cited articles in this study focused on themes such as contamination from packaging materials and on the strategies for preventing chemical contaminants in the food chain.Originality/valueThis report is significant because the public health field requires innovative strategies in forecasting foodborne disease outbreaks to advance effective interventions. Therefore, more collaboration need to be fostered, especially in developing nations regarding food safety research.

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Section: Data Sources and Methodsmentioning

confidence: 99%

The surveillance and prediction of food contamination using intelligent systems: a bibliometric analysis

Lebelo¹,

Masinde

Malebo

et al. 2021

BFJ

View full text Add to dashboard Cite

show abstract

“…There are many applications of VOSviewer in the energy field, for example, to assess global research and trends in renewable energy [8,9], in bioenergy and biomass utilization [10,11]. VOSviewer software is used to obtain results of co-word and cluster analysis of keywords of the papers published in the journal Renewable Energy to track 5 major clusters during 20 years' timeline 1990-2010 [12].…”

Section: Data and Toolsmentioning

confidence: 99%

Knowledge Mapping of Energy Systems Research in 1970-2020

Mikheev

2020

Energy Systems Research

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This study presents a brief bibliometric overview of large scientific literature data related to issues of energy systems research from 1970 to 2020 in the Scopus database. The six periods depending on different publication activity rates were analyzed to observe the evolution of research topics of energy systems. VOSviewer software was used to construct scientific knowledge maps and to discover valuable main topics for each period. Proposed visualization of the energy knowledge domain can be considered as a necessary step for a holistic understanding of complex development pathways towards the future sustainable energy systems.

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“…Although microalgae have high lipid productivity, their large-scale cultivation demands a high content of nutrients. In this sense, different types of effluents have been tested as source of water and nutrients for the cultivation of microalgae, as wastewater or landfill leachate, which can reduce production costs [3,24,25].…”

Section: Introductionmentioning

confidence: 99%

“…Microalgal biomass contains various compounds such as lipids, carbohydrates, pigments, etc., which can be modulated by changing cultivation conditions [1,2]. Moreover, the search for new resources of energy capable of meeting global demand and, simultaneously, replacing fossil fuels, has increasing annually [3]. Actually, the urgency of combating global warming drives several research works around the planet in order to reduce the amount of polluting gases in the atmosphere, whether in the development of biofuels or in the bio-fixation of gases by plants and microorganisms [4,5].…”

Section: Introductionmentioning

confidence: 99%

Effects of Process Variables in Semi-continuous Cultivation of Chlorella Minutissima on the Biomass Composition

Tagliaferro

Santos

et al. 2021

Preprint

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The biomass composition of Chlorella minutissima 26a was evaluated in different conditions for the microalgae cultured in landfill leachate in airlift photobioreactor operated in semi-continuous mode. The effects of the following factors in cells composition were evaluated: landfill leachate concentration (LC), CO2 percentual flow added in the gas stream (GP), aeration flow in the reactor (AF) and feed flowrate (FR). A Taguchi L9 orthogonal arrangement was used to evaluate the effects of those four factors on the following response variables: Biomass Productivity (BP), Lipid Productivity (LP), Carbohydrate Productivity (CP) and Proteins Productivity (PP). Results showed that the microalgae had high selectivity to produce proteins, reaching a maximum content of 69,60% in the following conditions: LC: 10%, GP: null, AF: 0,30 vvm and FR: 0.9 µmax vvm. The highest contents of lipid and carbohydrate were 17.4% (LC: 15%, GP: null, AF: 0,45 vvm and FR: 0.7 µmax vvm) and 11.6% (LC: 10%, GP: 15%, AF: 0,15 vvm and FR: 0.7 µmax vvm.), respectively, both values achieved at the two experiment with the highest values of specific growth rate (0.44 d-1 and 0.47 d-1, respectively). Statistical analysis showed LC was the most influential factor in the cell chemical composition, being significant (p<0,1) in the productivity of lipids, proteins and carbohydrates, with high values observed using between 5 and 10% of LC in the medium. GP did not show significance for any response studied, while the variables AF and FR showed significance in the productivity of proteins.

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Bioenergy from bio-waste: a bibliometric analysis of the trend in scientific research from 1998–2018

Cited by 23 publications

References 32 publications

The surveillance and prediction of food contamination using intelligent systems: a bibliometric analysis

The surveillance and prediction of food contamination using intelligent systems: a bibliometric analysis

Knowledge Mapping of Energy Systems Research in 1970-2020

Effects of Process Variables in Semi-continuous Cultivation of Chlorella Minutissima on the Biomass Composition

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