Review
Energy & Fuels
Anja Oasmaa, Jani Lehto, Yrjo Solantausta, Sirpa Kallio
Summary: The review summarizes VTT's development efforts in fast pyrolysis over the past 40 years, showcasing a wide range of feedstocks and products tested. Plastic wastes are currently seen as the most promising industrial opportunity in this field.
Article
Agricultural Engineering
A. Dimitriadis, D. Liakos, U. Pfisterer, M. Moustaka-Gouni, D. Karonis, S. Bezergianni
Summary: This study found that hydrotreated pyrolysis oil can be miscible with different petroleum streams, and in some cases can even improve fuel characteristics, potentially allowing for its integration in oil refineries.
BIOMASS & BIOENERGY
(2021)
Article
Green & Sustainable Science & Technology
Athanasios Dimitriadis, Loukia P. Chrysikou, George Meletidis, George Terzis, Milos Auersvald, David Kubicka, Stella Bezergianni
Summary: This study investigated the upgrading of pyrolysis bio-oil through mild hydrotreatment, finding that the longest catalyst life was achieved under specific operating conditions. Furthermore, several properties of the initial bio-oil were improved during the upgrading process.
Article
Agricultural Engineering
Rahmad Mohd Taib, Nurhayati Abdullah, Nur Syairah Mohamad Aziz
Summary: This study investigated the fast pyrolysis of banana pseudo-stem (BPS) to determine the optimal conditions for maximum liquid yield, finding that a pyrolysis temperature of 500°C and a residence time of 1.02 s were ideal. Under these conditions, a total liquid yield of 39.4% was achieved, with a high heating value of approximately 5.35 MJ/kg for the BPS liquid obtained. The BPS bio-oil was found to contain common functional groups and chemical compounds related to phenols.
BIOMASS & BIOENERGY
(2021)
Article
Green & Sustainable Science & Technology
A. Alcazar-Ruiz, M. L. Ortiz, F. Dorado, L. Sanchez-Silva
Summary: This study compares the sustainability of gasification and fast pyrolysis processes for producing bio-oil using agricultural wastes through a life cycle assessment. The findings indicate that gasification has a greater environmental impact than fast pyrolysis for all studied agricultural biomasses. The study also reveals that fast pyrolysis is the most environmentally friendly option for producing 1 MJ bio-oil.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Agricultural Engineering
Qiuhao Wu, Letian Zhang, Linyao Ke, Qi Zhang, Xian Cui, Liangliang Fan, Anqi Dai, Chuangxin Xu, Qihang Zhang, Krik Bob, Rongge Zou, Yuhuan Liu, Roger Ruan, Yunpu Wang
Summary: This study found that the residue content of oil-bath co-torrefaction was the highest at 97.01%. Oil-bath co-torrefaction can maximize the retention of hydrogen atoms in corncob, which is beneficial for deoxygenation during pyrolysis. It can also reduce the average activation energy required for corncob decomposition.
BIORESOURCE TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Pan Li, Xiaopeng Shi, Xianhua Wang, Jiande Song, Shuqi Fang, Jing Bai, Guojie Zhang, Chun Chang, Shusheng Pang
Summary: Through a comprehensive study of biomass fluidized bed devices and fast pyrolysis experiments to produce bio-oil, optimal production parameters were determined. The analysis of bio-oil properties revealed differences between first-level and second-level bio-oil. Energy consumption mainly went towards preheating and cooling nitrogen, but byproducts such as coke and non-condensable gas could be utilized for self-heating production.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Biotechnology & Applied Microbiology
Rubia Idris, William Woei Fong Chong, Atikah Ali, Sidah Idris, Mohd Faizal Hasan, Farid Nasir Ani, Cheng Tung Chong
Summary: In this study, oil palm empty fruit bunch (EFB) was subjected to microwave-induced fast pyrolysis, and it was found that the addition of activated carbon as a microwave susceptor significantly increased the bio-oil yield, resulting in bio-oil enriched with phenolic compounds. This promising method shows potential for producing highly selective mono-phenol rich bio-oil from biowaste.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Thermodynamics
Zahra Echresh Zadeh, Ali Abdulkhani, Basudeb Saha
Summary: This study focused on producing and characterizing fast pyrolysis bio-oil from hardwood and softwood at two different temperatures, showing that temperature has an impact on bio-oil yield and chemical distribution.
Article
Energy & Fuels
Xiaozhuang Zhuang, Ziyu Gan, Dengyu Chen, Kehui Cen, Yuping Ba, Dongxia Jia
Summary: The quality and yield of bio-oil can be improved by co-pyrolysis of heavy bio-oil and bamboo pretreated by light bio-oil leaching. Under the optimal co-pyrolysis conditions, the highest yield and heating value of bio-oil were obtained. Furthermore, the relative contents of phenols and hydrocarbons increased while that of acids decreased in the bio-oil produced by copyrolysis. Predictive models for bio-oil yield and properties were established, providing a foundation for the preparation and utilization of bio-oils.
Article
Polymer Science
Osei Asibe Asafu-Adjaye, Jason Street, Archana Bansode, Maria L. Auad, Maria Soledad Peresin, Sushil Adhikari, Terry Liles, Brian K. Via
Summary: This study investigated the use of bio-oil-based epoxy resin as an adhesive for oriented strand board (OSB) production. The results showed that the bio-oil and epoxy resin had a superior reaction at 20% bio-oil substitution. The scanning electron microscopy images indicated that the adhesive had bulk phase homogeneity. The mechanical properties and water resistance of the OSB panels were feasible up to 30% bio-oil substitution.
Article
Chemistry, Analytical
E. A. Bramer, G. Brem, H. Mysore Prabhakara
Summary: Commercially available MG70 hydrotalcite (HT) has been found to facilitate the formation of moderately deoxygenated compounds during in-situ catalytic fast pyrolysis of beechwood, resulting in an organic rich bio-oil.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2022)
Article
Chemistry, Applied
Caterina Zerva, Stamatia A. Karakoulia, Konstantinos G. Kalogiannis, Antigoni Margellou, Eleni F. Iliopoulou, Angelos A. Lappas, Nikolaos Papayannakos, Konstantinos S. Triantafyllidis
Summary: The study investigated the hydrodeoxygenation of pure phenol and catalytic biomass fast pyrolysis oil over 10%Ni/ZrO2 and 10%Ni/WO3-ZrO2 catalysts. It was found that the addition of WO3 improved the catalytic activity, especially in the complete hydrodeoxygenation of phenol to cyclohexane. The 10%Ni/WO3-ZrO2 catalyst showed high activity and selectivity in both phenol and bio-oil hydrodeoxygenation reactions.
Article
Energy & Fuels
Shuo Zhang, Yunfei Wu, Yiming Wang, Mei Zhong, Guijin Wang, Yanpeng Ban, Shun Zhao, Haoquan Hu, Lijun Jin
Summary: This study applied a CO2-enhanced water leaching method to remove alkali/alkaline earth metallic species from biochar and used the demineralized biochar as a catalyst for upgrading pyrolysis biooil. The results showed that the pore structure of the catalyst played a dominant role in increasing phenols contents, while alkali/alkaline earth metallic species enhanced the polymerization of aromatic hydrocarbons and the decarbonylation of oxygenated compounds.
Article
Chemistry, Multidisciplinary
Lilivet Ubiera, Isabelle Polaert, Michel Delmotte, Lokmane Abdelouahed, Bechara Taouk
Summary: Microwave pyrolysis is an efficient and high-quality option for treating biomass residue, with bio-oil production significantly influenced by operating conditions and absorbed energy. High heating rates and appropriate energy absorption are crucial for achieving optimal bio-oil yields.
REACTION CHEMISTRY & ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Saba Moeinizade, Ye Han, Hieu Pham, Guiping Hu, Lizhi Wang
Summary: Multiple trait introgression is the process of transferring multiple desirable traits from a donor to a recipient cultivar through backcrossing and selfing. The selection of parents for new crosses is crucial, and a new approach using recombination event information has been proposed to aid breeders in selecting promising individuals. Simulation results show that the proposed method, look-ahead Monte Carlo, has a higher success rate compared to existing approaches, potentially assisting breeders in designing trait introgression projects more efficiently.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Fatemeh Amini, Felipe Restrepo Franco, Guiping Hu, Lizhi Wang
Summary: Recent advances in genomic selection emphasize the importance of both accuracy of genomic prediction and intelligence in selection strategies. A new variant of the look ahead approach, the look ahead trace back algorithm, is introduced along with the development of opaque simulators to evaluate GS algorithm performance more realistically. Comprehensive computational experiments using maize data reveal the interaction between GS algorithms and different simulators, highlighting the need for continued research in designing more realistic simulators.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
Luning Bi, Guiping Hu
Summary: This paper proposes a genetic algorithm-assisted deep learning method for crop yield prediction, with two phases of global search and local search to improve prediction accuracy and convergence speed. Experimental results show that the proposed method outperforms traditional gradient-based methods.
Article
Plant Sciences
Mohsen Shahhosseini, Guiping Hu, Saeed Khaki, Sotirios Archontoulis
Summary: The study found that the two designed ensemble types (heterogenous and homogenous) outperformed the ensembles created from five individual machine learning models (linear regression, LASSO, random forest, XGBoost, and LightGBM). Particularly, with improvements introduced, the homogenous ensembles provided the most accurate yield predictions across the US Corn Belt states.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Engineering, Civil
Mohammad Rahdar, Lizhi Wang, Jing Dong, Guiping Hu
Summary: This study proposes a trilevel optimization model to address uncertainty in a transportation network, aiming to improve resiliency against uncertain disruptions and minimize total travel time. The model utilizes two algorithms to significantly reduce the number of variables and constraints, and the results show an average improvement of 41% in total travel time in the case of the Iowa highway network.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Plant Sciences
Saiara Samira Sajid, Guiping Hu
Summary: This paper proposes a two-stage decision support system to optimize planting decisions in the agricultural sector. The first stage involves creating a prediction model for Growing Degree Units (GDUs), while the second stage incorporates the prediction model into an optimization model for the planting schedule. The proposed model has been proven effective and robust through a case study.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Genetics & Heredity
Fatemeh Amini, Guiping Hu, Lizhi Wang, Ruoyu Wu
Summary: Selecting for multiple traits in genomic selection has become increasingly important. This paper proposes a new method called L-shaped selection, which addresses the limitations of index selection and has been proven to find any Pareto optimal solution with appropriate weights. Computational experiments demonstrate the improved performance of L-shaped selection over index selection.
Article
Microbiology
Conard Lee, Fatemeh Amini, Guiping Hu, Larry J. Halverson
Summary: This study applied machine learning to analyze 16S rRNA sequence and nitrification potential data, aiming to accurately model nitrification and understand the role of specific taxa. The results showed that the important predictors of nitrification varied in different cropping systems and the inclusion of amoA gene abundance data did not substantially improve model performance. Additionally, several clades of nitrifiers important for nitrification in different cropping systems were identified.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Geriatrics & Gerontology
Parvin Mohammadiarvejeh, Brandon S. Klinedinst, Qian Wang, Tianqi Li, Brittany Larsen, Amy Pollpeter, Shannin N. Moody, Sara A. Willette, Jon P. Mochel, Karin Allenspach, Guiping Hu, Auriel A. Willette
Summary: This study utilized longitudinal data from the UK Biobank to investigate cognitive aging in mid-life. The findings revealed the existence of a group of individuals who exhibited positive-aging, with cognitive performance similar to younger adults. Furthermore, the study identified vascular health and cellular bioenergetics as important biological factors associated with optimal cognitive aging, irrespective of age, sex, or socioeconomic status. These results suggest that lifestyle and pharmacological interventions may contribute to optimizing cognitive aging.
Article
Plant Sciences
Saiara Samira Sajid, Mohsen Shahhosseini, Isaiah Huber, Guiping Hu, Sotirios Archontoulis
Summary: Crop yield prediction is a complex task due to interactions among various factors and uncertainty in input values. This study combines crop modeling with machine learning to predict maize yields in the US Corn Belt. The results show that the accuracy of prediction improves when crop modeling is coupled with machine learning. The ensemble model outperforms individual ML models, and the analysis reveals that low cropland ratios, soil input data, and extreme weather events contribute to high prediction errors.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Genetics & Heredity
Zheng Ni, Saba Moeinizade, Aaron Kusmec, Guiping Hu, Lizhi Wang, Patrick S. Schnable
Summary: This article studies the potential advantages of incorporating intercrossing into trait introgression programs when compared with relying solely on the traditional backcrossing framework. Simulations demonstrate that the inclusion of intercrossing in a trait introgression program can substantially increase efficiency and the probability of success.
G3-GENES GENOMES GENETICS
(2023)
Article
Computer Science, Information Systems
Carl Kirpes, Dave Sly, Guiping Hu
Summary: The use of 3D product model in assembly processes can enhance the value for organizations, with potential future value already foreseen by organizations who have not implemented this technology yet. The application of this technology can be applied across various industries and organization sizes.
APPLIED SYSTEM INNOVATION
(2021)
Review
Green & Sustainable Science & Technology
Aaron Kusmec, Zihao Zheng, Sotirios Archontoulis, Baskar Ganapathysubramanian, Guiping Hu, Lizhi Wang, Jianming Yu, Patrick S. Schnable
Summary: This study introduces a framework that integrates various prediction methods to contribute to plant breeding objectives, helping breeders more efficiently cultivate crops adapted to future environments.
Article
Management
Zhengyang Hu, Viren Parwani, Guiping Hu
Summary: This paper introduces a fuzzy multi-objective mixed-integer linear programming model to address uncertain parameters and uncertainties in closed-loop supply chain networks. The model aims to minimize overall system costs and negative environmental impact measured through CO2 equivalent emission. Numerical experiments demonstrate the effectiveness of the model, with sensitivity analyses conducted on feasibility, objective function weighting, and compensation coefficient.
Article
Management
Viren Parwani, Guiping Hu
Summary: Globalization has significantly impacted the manufacturing sector, prompting manufacturers to increase efficiency and reduce waste. Lean/six sigma tools help in enhancing production efficiency, while manufacturing in smaller batches can keep the supply chain lean and customizable.
Article
Agricultural Engineering
Yinping Xiang, Meiying Jia, Rui Xu, Jialu Xu, Lele He, Haihao Peng, Weimin Sun, Dongbo Wang, Weiping Xiong, Zhaohui Yang
Summary: This study investigated the impact of the non-antibiotic pharmaceutical carbamazepine on antibiotic resistance genes (ARGs) during anaerobic digestion. The results showed that carbamazepine induced the enrichment of ARGs and increased the abundance of bacteria carrying these genes. It also facilitated microbial aggregation and intercellular communication, leading to an increased frequency of ARGs transmission. Moreover, carbamazepine promoted the acquisition of ARGs by pathogens and elevated their overall abundance.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Weixin Zhao, Tianyi Hu, Hao Ma, Dan Li, Qingliang Zhao, Junqiu Jiang, Liangliang Wei
Summary: This review summarizes the effects and potential mechanisms of biochar on microbial behavior in AD systems. The addition of biochar has been found to promote microbial colonization, alleviate stress, provide nutrients, and enhance enzyme activity. Future research directions include targeted design of biochar, in-depth study of microbial mechanisms, and improved models.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Christina Karmann, Anna Magrova, Pavel Jenicek, Jan Bartacek, Vojtech Kouba
Summary: This review assesses nitrogen removal technologies in reject water treatment, highlighting the differences in environmental impacts and economic benefits. Partial nitritation-anammox shows potential for economic benefits and positive environmental outcomes when operated and controlled properly.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Wei-Hao Huang, Ying-Ju Chang, Duu-Jong Lee
Summary: This study modified pinecone biochar with layered double hydroxide (LDH) to enhance its adsorption capacity for heavy metal and phosphate ions. The LDH-biochar showed significantly improved adsorption capacities for Pb2+ and phosphate, and a slight increase for Cu2+ and Co2+. The LDH layer enhanced the adsorption through various mechanisms.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Chao Song, Fanfan Cai, Shuang Yang, Ligong Wang, Guangqing Liu, Chang Chen
Summary: This paper developed a machine learning model to predict the biochemical methane potential during anaerobic digestion. Model analysis identified lignin content, organic loading, and nitrogen content as key attributes for methane production prediction. For feedstocks with high cellulose content, early methane production is lower but can be improved by prolonging digestion time. Moreover, lignin content exceeding a certain value significantly inhibits methane production.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Sang Min Lee, Ju Young Lee, Ji-Sook Hahn, Seung-Ho Baek
Summary: This study successfully developed an efficient platform strain using Yarrowia lipolytica for the bioconversion of renewable resources into adipic acid, achieving a remarkable increase in production level.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Sefkan Kendir, Matthias Franzreb
Summary: This study presents a novel approach using magnetic separation to efficiently harvest freshwater microalgae, Chlorella vulgaris. By combining pH-induced calcium phosphate precipitation with cheap natural magnetite microparticles, harvesting efficiencies up to 98% were achieved in the model medium.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Ishaq Kariim, Ji-Yeon Park, Wajahat Waheed Kazmi, Hulda Swai, In-Gu Lee, Thomas Kivevele
Summary: The impact of reaction temperature, residence time, and ethanol: acetone on the energy compositions and yield enhancement of biocrudes was investigated. The results showed that under appropriate conditions, biocrudes with high energy and low oxygen content can be obtained, indicating a high potential for utilization.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Xiyue Zhang, Xiyao Li, Liang Zhang, Yongzhen Peng
Summary: Intermittent aeration is an innovative approach to enhance nitrogen removal in low carbon-to-nitrogen ratio municipal sewage, providing an efficient strategy for the continuous plug-flow AOA process.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Xu Yang, Mahmoud Mazarji, Mengtong Li, Aohua Li, Ronghua Li, Zengqiang Zhang, Junting Pan
Summary: This study investigated the impact of magnetite on the nitrogen cycle of pig manure biostabilisation. The addition of magnetite increased N2O emissions and decreased NH3 emissions during composting. It also increased the total nitrogen content but should be considered for its significant increase in N2O emissions in engineering practice.
BIORESOURCE TECHNOLOGY
(2024)
Review
Agricultural Engineering
Ty Shitanaka, Haylee Fujioka, Muzammil Khan, Manpreet Kaur, Zhi-Yan Du, Samir Kumar Khanal
Summary: The market value of microalgae has exponentially increased in the past two decades, thanks to their applications in various industries. However, the supply of high-value microalgal bioproducts is limited due to several factors, and strategies are being explored to overcome these limitations and improve microalgae production, thus increasing the availability of algal-derived bioproducts in the market.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Martin Kerner, Thorsten Wolff, Torsten Brinkmann
Summary: The efficiency of using enriched CO2 from flue gas for large-scale production of green microalgae has been studied. The results show that the use of membrane devices and static mixers can effectively improve the CO2 recovery rate and maintain the suitable pH and temperature during cultivation, achieving a more economical and sustainable microalgae production.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Rui Ma, Ji Li, Rd Tyagi, Xiaolei Zhang
Summary: This review summarizes the microorganisms capable of using CO2 and CH4 to produce PHAs, illustrating the production process, factors influencing it, and discussing optimization techniques. It identifies the challenges and future prospects for developing economically viable PHAs production using GHGs as a carbon source.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Bing Wang, Peng Zhang, Xu Guo, Xu Bao, Junjie Tian, Guomin Li, Jian Zhang
Summary: The addition of zeolite in the co-composting of chicken manure and straw significantly reduced the emissions of ammonia and N2O, and increased the nitrate content. Zeolite also promoted the abundance of nitrification genes and inhibited the expression of denitrification genes.
BIORESOURCE TECHNOLOGY
(2024)
Article
Agricultural Engineering
Rohit Dey, Franziska Ortiz Tena, Song Wang, Josef Martin Messmann, Christian Steinweg, Claudia Thomsen, Clemens Posten, Stefan Leu, Matthias S. Ullrich, Laurenz Thomsen
Summary: This study investigated the operation of a 1000L microalgae-based membrane photobioreactor system for continuous secondary wastewater treatment. The research focused on a green microalgae strain called Desmodesmus sp. The study aimed to understand key trends and optimization strategies by conducting experiments in both summer and winter seasons. The findings showed that maintaining low cell concentrations during periods of light inhibition was beneficial for nutrient uptake rates. Effective strategies for enhancing algae-based wastewater treatment included cell mass recycling and adjusting dilution rates based on light availability.
BIORESOURCE TECHNOLOGY
(2024)
