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@article{Ubando2021,
title = {Reduction of particulate matter and volatile organic compounds in biorefineries: A state-of-the-art review},
author = {Aristotle T. Ubando and Aaron Don M. Africa and Marla C. Maniquiz-Redillas and Alvin B. Culaba and Wei-Hsin Chen},
editor = {ScienceDirect},
url = {http://www.sciencedirect.com/science/article/pii/S0304389420319452},
doi = {https://doi.org/10.1016/j.jhazmat.2020.123955},
issn = {0304-3894},
year = {2021},
date = {2021-02-05},
journal = {Journal of Hazardous Materials},
volume = {403},
pages = {123955},
abstract = {A biorefinery is an efficient approach to generate multiple bio-products from biomass. With the increasing de- mand for bioenergy and bio-products, biorefineries are essential industrial platforms that provide needed de- mand while significantly reducing greenhouse gas emissions. A biorefinery consists of various conversion technologies where particulate matter (PM) and volatile organic compounds (VOCs) are emitted. The released PM and VOCs pose detrimental health and environmental risks for society. Moreover, the projected rise of global bioenergy demand may lead to an increase in PM and VOCs from biorefineries. With the use of cleaner tech- nologies and approaches, PM and VOCs can be avoided in biorefineries. The study presents the landscape of the research field through a bibliometric review of emissions from a biorefinery. A comprehensive review of works on the reduction of PM and VOCs in a biorefinery is outlined. The study includes a perspective of cleaner technologies and approaches utilized in biorefineries to mitigate these hazardous materials. The results reveal that the employment of life cycle assessment, safety assessment, and green chemistry processes can significantly reduce PM and VOC emissions as well as the consumption of hazardous substances in the biorefinery.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Ubando2020,
title = {Microalgal biosorption of heavy metals: A comprehensive bibliometric review},
author = {Aristotle T. Ubando and Aaron Don M. Africa and Marla C. Maniquiz-Redillas and Alvin B. Culaba and Wei-Hsin Chen and Jo-Shu Chang},
url = {https://www.sciencedirect.com/science/article/pii/S0304389420314205?casa_token=ycNBP-TrIO8AAAAA:KKIZHP3xH1ksuWMvYZo-wi3r4m9Qp0cRFazVq-U3C0coLh5fRd43ZKoGE_mE9rEdhveZHdunBBk},
doi = {https://doi.org/10.1016/j.jhazmat.2020.123431},
issn = {0304-3894},
year = {2021},
date = {2021-01-15},
journal = {Journal of Hazardous Materials},
volume = {402},
pages = {123431},
abstract = {Heavy metals in the effluents released from industrial establishments pose risks to the environment and society. Prevalent organisms such as microalgae in industrial wastes can thrive in this harmful environment. The connection of the metal-binding proteins of the microalgal cell wall to the metal ions of the heavy metals enables microalgae as an ideal medium for biosorption. The current literature lacks the review of various microalgae used as biosorption of heavy metals from industrial effluents. This work aims to comprehensively review the literature on the use of microalgae as a biosorption for heavy metals. The study summarizes the application of different microalgae for heavy metals removal by identifying the various factors affecting the biosorption performance. Approaches to quantifying the heavy metals concentration are outlined. The methods of microalgae to generate biocompounds to enable biosorption of heavy metals are itemized. The study also aims to identify the materials produced by microalgae to facilitate biosorption. The industrial sectors with the potential benefit from the adoption of microalgal biosorption of heavy metals are recognized. Moreover, the current challenges and future perspectives of microalgal biosorption are discussed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Ubando2020b,
title = {A state-of-the-art review of biowaste biorefinery},
author = {Aristotle T. Ubando and Aaron Jules R. Del Rosario and Wei-Hsin Chen and Alvin B. Culaba},
url = {https://www-sciencedirect-com.inshs.bib.cnrs.fr/science/article/pii/S026974912036838X},
doi = {https://doi.org/10.1016/j.envpol.2020.116149},
year = {2020},
date = {2020-11-20},
journal = {Environmental Pollution},
abstract = {Biorefineries provide a platform for different industries to produce multiple bio-products enhancing the economic value of the system. The production of these biorefineries has led to an increase in the gen- eration of biowaste. To minimize the risk of environmental pollution, numerous studies have focused on a variety of strategies to mitigate these concerns reflected in the vast amount of literature written on this topic. This paper aims to systematically analyze and review the enormous body of scientific literature in the biowaste and biorefinery field for establishing an understanding and providing a direction for future works. A bibliometric analysis is first performed using the CorTexT Manager platform on a corpus of 1488 articles written on the topic of biowaste. Popular and emerging topics are determined using a terms extraction algorithm. A contingency matrix is then created to study the correlation of scientific journals and key topics from this field. Then, the connection and evolution of these terms were analyzed using network mapping, to determine relationships among key terms and analyze notable trends in this research field. Finally, a critical review of articles was presented across three main categories of biowaste management such as mitigation, sustainable utilization, and cleaner disposal from the perspective of the biorefinery concept. Operational and technological challenges are identified for the integration of anaerobic digestion in biorefineries, especially in developing nations. Moreover, logistical challenges in the biorefinery supply-chain are established based on the economics and collection aspect of handling biowaste.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Aviso2020,
title = {Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing},
author = {K.B. Aviso and C.L. Sy and R.R. Tan and Aristotle T. Ubando},
url = {http://www.sciencedirect.com/science/article/pii/S1364032120303269},
doi = {https://doi.org/10.1016/j.rser.2020.110035},
issn = {1364-0321},
year = {2020},
date = {2020-10-01},
journal = {Renewable and Sustainable Energy Reviews},
volume = {132},
pages = {110035},
abstract = {A drastic reduction in greenhouse gas emissions from electricity generation will be needed to mitigate climate change to a safe level. Residual biomass from agriculture is an underutilized energy source that can contribute to the needed emissions cut, but its geographic dispersion presents logistical problems. Direct and indirect co-firing of biomass in existing power plants presents a flexible means of utilizing this resource. Indirect co-firing of biomass with biochar co-production can even give greater reduction in greenhouse gas emissions if the biochar is applied to soil as a form of carbon sequestration. In this paper, a fuzzy linear programming model is developed for optimizing a carbon management network based on direct and indirect biomass co-firing, coupled with biochar application to soil for the latter case. The model can match biomass sources to power plants; the power plants that use indirect co-firing are also matched to biochar application sites. The model is illustrated using a case study representative of a developing country with an agriculture-intensive economy. Results show that not all powerplants need to implement co-firing to reach a balance between reducing GHG emissions and the risk of introducing contaminants in soil. The model provides effective decision support for decarbonizing power generation, particularly in developing countries that still make use of coal-fired power plants and which have abundant biomass resources in the form of agricultural waste.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}