Article
Engineering, Environmental
Jing Xuan Tee, Anurita Selvarajoo, Senthil Kumar Arumugasamy
Summary: This study developed artificial neural network (ANN) models to predict the yield and BET surface area of biochar based on pyrolysis conditions and biomass analysis. The ANN models showed good performance and could effectively evaluate the carbon sequestration potential of biochar.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Engineering, Environmental
Dayang Zheng, Min Wu, Eryang Zheng, Yayi Wang, Cang Feng, Jiali Zou, Maoling Juan, Xinxing Bai, Teng Wang, Yuxiang Shi
Summary: In this study, sludge biochar loaded with layered double hydroxides was used as a composite adsorbent for effectively removing low concentrated ciprofloxacin in water. Artificial Neural Network (ANN) model and density functional theory (DFT) were employed to predict and analyze the adsorption process.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Chemistry, Inorganic & Nuclear
Rasha A. Al-husseiny, Shahlaa E. Ebrahim
Summary: In this study, magnetite/geopolymer composite was synthesized and characterized using various techniques. The presence of nano-magnetite was found to impact the surface area and pore structure of the geopolymer, while the composite showed high adsorption performance for methylene blue. The synthesized nanocomposites have potential applications in dye removal from aqueous solutions.
INORGANIC CHEMISTRY COMMUNICATIONS
(2022)
Article
Biochemistry & Molecular Biology
Melissa Prelac, Igor Palcic, Danko Cvitan, Dominik Andelini, Maja Repajic, Josip Curko, Tvrtko Karlo Kovacevic, Smiljana Goreta Ban, Zoran Uzila, Dean Ban, Nikola Major
Summary: This study investigated the potential of biochar in removing polyphenolic compounds from onion peel extracts. The results showed that the studied biochar exhibited a high affinity for polyphenols, indicating its potential for green adsorption of valuable compounds.
Article
Energy & Fuels
Ramesh Kanthasamy, Eydhah Almatrafi, Imtiaz Ali, Hani Hussain Sait, Mohammed Zwawi, Faisal Abnisa, Leo Choe Peng, Bamidele Victor Ayodele
Summary: This study uses Bayesian optimized multilayer perceptron neural network to model the prediction of biochar and syngas from biomass-derived waste pyrolysis. The performance of the neural networks is influenced by the number of connecting layers and the size of the hidden neurons. The best-performing neural network architecture for predicting biochar yield is 3-2-10-10-1 with R2 of 0.984 and RMSE of 0.34, while for predicting syngas yield it is 3-7-10-3-1 with R2 of 0.999.
Article
Environmental Sciences
Mijia Zhu, Fanxiu Li, Wu Chen, Xianqing Yin, Zhengji Yi, Shuyong Zhang
Summary: This study investigated the removal of U(VI) from wastewater using adsorption technology with KMnO4-modified hazelnut shell activated carbon (KM-HSAC). Characterisation analysis of KM-HSAC showed a rough surface structure with irregular microspores, and the EDS analysis confirmed U(VI) adsorption on the material. Batch experiments determined optimal conditions for U(VI) removal, with a maximum adsorption capacity of 22.27 mg/g. Artificial neural network models demonstrated good predictive performance with low statistical errors and high determination coefficient values. Experimental results suggest that KM-HSAC has high potential for U(VI) removal from wastewater.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Environmental
P. S. Pauletto, S. F. Lutke, G. L. Dotto, N. P. G. Salau
Summary: This study evaluated the adsorption of nimesulide and paracetamol on activated carbon using artificial neural network (ANN) models. Results showed that nimesulide had a higher affinity for the active sites of the AC compared to paracetamol, and in binary adsorption, nimesulide molecules competed with paracetamol molecules for adsorption sites. The optimal ANN model successfully predicted the adsorption of both nimesulide and paracetamol.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Multidisciplinary Sciences
Hamza Ahmad Isiyaka, Khairulazhar Jumbri, Nonni Soraya Sambudi, Zakariyya Uba Zango, Bahruddin Saad, Adamu Mustapha
Summary: This study demonstrates the effective removal of MCPA from water using hydrothermally synthesized MIL-101(Cr) MOF, with rapid removal rate and high reusability. The properties of the MOF were thoroughly characterized, and an artificial neural network model was utilized for accurate prediction.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Agricultural Engineering
Tanveer Rasool, Ishfaq Najar, Vimal Chandra Srivastava, Ashok Pandey
Summary: The study investigated the thermogravimetric analysis of almond shells for bioenergy production, with activation energy values indicating favorable product formation. Findings support the potential application of almond shells for energy production through pyrolysis.
BIORESOURCE TECHNOLOGY
(2021)
Article
Thermodynamics
Woo Su Lee, Moon Yong Park, Xuan Quang Duong, Mahdi Koushaeian, Nehad Ali Shah, Jae Dong Chung
Summary: The study systematically determined the optimal time allocation for a 3-bed adsorption cooling system using artificial neural networks, showing errors within +/- 4% when compared with actual results. Cycle time was found to have significant impact on COP, while the high/low pressure evaporator time ratio was identified as the most influential factor on SCP.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Engineering, Environmental
Hemant Kumar Balsora, S. Kartik, Vivek Dua, Jyeshtharaj Bhalchandra Joshi, Gaurav Kataria, Abhishek Sharma, Anand Gupta Chakinala
Summary: In this study, artificial neural network models were developed to predict the pyrolysis kinetics of lignocellulosic biomass. The models showed competitive prediction capability and biochemical analysis was found to have a higher contribution to the outputs. The developed models were accurate in predicting the pyrolysis kinetics of new biomass feedstocks.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Environmental Sciences
Irvan Dahlan, Emillia Eizleen Md Azhar, Siti Roshayu Hassan, Hamidi Abdul Aziz, Yung-Tse Hung
Summary: In this study, response surface methodology (RSM) and artificial neural network (ANN) were used to investigate the adsorption process of 2,4-dichlorophenoxyacetic acid (2,4-D) using modified hydrogel. The results showed that higher removal and adsorption capacity of 2,4-D could be achieved at higher initial concentration, lower pH, and activated carbon content. The optimal design method of RSM had the highest accuracy for prediction and optimization. Bayesian Regularization method in ANN had the highest R-2 and lowest mean square error (MSE) with the optimum network architecture of 3:9:2. The RSM model was validated using the optimized neural network architecture.
Article
Environmental Sciences
Fengli Gan, Bowen Cheng, Ziheng Jin, Zhongde Dai, Bangda Wang, Lin Yang, Xia Jiang
Summary: This study proposed a simple and green air oxidation method to prepare hierarchical porous biochar by selectively removing lignin carbon from plant-based biomass after pyrolysis. The results showed that air oxidation treatment effectively improved the pore structure of biochar and greatly enhanced the toluene adsorption capacity.
Article
Agricultural Engineering
Se-Eun Ban, Eun-Ju Lee, Jihyun Yoon, Da-Jung Lim, In-Seon Kim, Jae-Won Lee
Summary: This study investigated the effects of carbohydrate and lignin content in biomass on biochar production, and evaluated the adsorption behaviors of diazinon on biochar obtained from delignified oak. Delignification control the lignin content in biomass, resulting in decreased lignin content and increased cellulose content in delignified oak. The specific surface area and total pore volume of biochar from delignified oak were higher compared to raw material, and the removal efficiency of diazinon increased with delignification time. The adsorption of diazinon to biochar followed the Langmuir model.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Environmental Sciences
Ali El Hanandeh, Zainab Mahdi, M. S. Imtiaz
Summary: Biochar is effective for removing heavy metals from wastewater, with operational conditions affecting the treatment process. This study introduces a multi-input multi-output model to predict heavy metals adsorption capacity of biochar in single and multi-solute systems, using machine learning models. Results show highly accurate predictions, with the generalized regression network model providing the best match to experimental data.
ENVIRONMENTAL RESEARCH
(2021)
Article
Energy & Fuels
Vishal Khanpit, Sonali Pravin Tajane, Sachin A. Mandavgane
Summary: Low-grade coal is characterized by high ash content and low calorific value. The gaseous emissions from coal power plants are a significant environmental concern. Coal-water slurry fuel has the potential to replace solid fuels in power plants and reduce harmful gaseous emissions. The study focuses on the preparation of coal-water slurry fuel using pre-cleaned coal and examines its rheological properties. It also investigates the effects of stabilizing agents, dispersion agent, and temperature on viscosity. The combustion of coal-water slurry demonstrates a higher burning efficiency compared to dry coal, with hydrogen generated as a by-product.
INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION
(2022)
Article
Engineering, Chemical
Ipsita Chakravarty, Sachin A. Mandavgane
Summary: The research shows that utilizing anaerobic digestion and aerobic digestion to treat fruit and vegetable waste (FVWs) with slaughterhouse wastewater (SWW) can effectively reduce environmental pollution, produce biofertilizer, and has potential ecological and economic value.
JOURNAL OF FOOD PROCESS ENGINEERING
(2021)
Article
Environmental Sciences
Saurabh N. Joglekar, Gauri Dalwankar, Nishat Qureshi, Sachin A. Mandavgane
Summary: Increasing awareness of sustainability has led recent researchers to explore different evaluation methods. This study selects sugarcane valorization pathways based on a sustainability index using a framework previously published by the authors. Six alternative routes are compared based on economic, environmental, and social criteria, with sensitivity analysis showing no significant change in the ranking of alternatives.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
Vishal V. Khanpit, Sachin A. Mandavgane, Sonali P. Tajane
Summary: This study focused on separating dietary fibers from fruit peels using a dry processing method, specifically an elutriator. Through optimization of various parameters, such as particle size and terminal velocity, it was found that the concentration of total dietary fiber (TDF) could be significantly increased using the elutriator. A general model was proposed to predict the air velocity required for separating dietary fibers based on particle bulk density, equivalent spherical diameter, and sphericity.
BIOMASS CONVERSION AND BIOREFINERY
(2021)
Article
Green & Sustainable Science & Technology
Saurabh Shinkhede, Vasudha Katare, Saurabh Joglekar, Mangesh Madurwar, Sachin Mandavgane
Summary: Researchers are developing various admixtures to enhance product sustainability, but performing fair sustainability assessment remains a challenge. This study evaluates sustainability of different concrete compositions, with thermo-mechanical-treated sugarcane bagasse ash (T-SBA) blended concrete achieving the highest sustainability score.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING
(2021)
Article
Energy & Fuels
Dipali Gahane, Divyajyoti Biswal, Sachin A. Mandavgane
Summary: Biomass is a renewable source of bioenergy and can be converted into bioenergy through thermochemical and biological routes. Pyrolysis is the most common conversion process, producing valuable products such as bio-oil, biochar, and syngas. Life cycle assessment (LCA) is used to evaluate the environmental impact of pyrolysis. Research suggests that biomass for bioenergy production is recommended to reduce greenhouse gas emissions.
BIOENERGY RESEARCH
(2022)
Correction
Green & Sustainable Science & Technology
Laxmi A. Zadgaonkar, Vivek Darwai, Sachin A. Mandavgane
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Article
Green & Sustainable Science & Technology
Laxmi A. Zadgaonkar, Vivek Darwai, Sachin A. Mandavgane
Summary: The study evaluates and compares the sustainability of transitioning from a linear agricultural system to a circular one, showing significant advantages in resource recycling and emission reduction of circular agriculture. By reducing purchased inputs, enhancing self-organizing capacity, and minimizing environmental impact, a circular agricultural system can achieve economic and social benefits more effectively.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Article
Food Science & Technology
Sonali Tajane, Parikshit Shastri, Sachin Mandavgane
Summary: The cerealgrain sector in India is experiencing growing demand due to an increasingly affluent population. Wheat, jowar, and maize are commonly consumed cereal grains in the region. The study focuses on the particle size distribution of flour during milling as an essential parameter for large scale production, with the GS model showing a high coefficient of determination for cereal grain flour.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2022)
Article
Energy & Fuels
Vishal V. Khanpit, Sonali P. Tajane, Sachin A. Mandavgane
Summary: This study converts the insoluble dietary fiber in orange peel waste into soluble dietary fiber using extrusion and ultrasonication methods. The environmental impact of both methods is compared, and extrusion is found to be more suitable for the process.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Chemistry, Applied
Ranjita S. Das, Anupama Kumar, Atul Wankhade, Sachin A. Mandavgane
Summary: This study reports a sustainable method for utilizing polyphenolic antioxidants from fruit and vegetable peel waste. The use of a green functional monomer for selective recovery of 4-Hydroxy benzoic acid from the waste resulted in high adsorption capacity. Additionally, the desorbed compounds from the composite material exhibited high antioxidant potential.
Article
Engineering, Civil
Vivek Radheshyam Darwai, Sachin Arvind Mandavgane, Prakash Lohia
Summary: This study aims to improve the economic benefits of dairy farms by developing a comprehensive framework called RAMHI. Through a case study of a representative dairy farm, the implementation feasibility of RAMHI was verified, and it was proven to significantly improve key performance indicators of the farm.
BUILT ENVIRONMENT PROJECT AND ASSET MANAGEMENT
(2022)
Review
Food Science & Technology
Vishal V. Khanpit, Sonali P. Tajane, Sachin A. Mandavgane
Summary: Extrusion is an efficient food processing method that can improve the nutritional qualities and soluble dietary fiber content of plant resources. This review summarizes the current research on dietary fiber extrusion process, machines, and product quality, and thoroughly investigates the influence of extrusion on dietary fiber.
FOOD REVIEWS INTERNATIONAL
(2023)
Article
Energy & Fuels
Vishal V. Khanpit, Sonali P. Tajane, Sachin A. Mandavgane
Summary: This study aims to convert insoluble dietary fibers from waste orange peels into soluble dietary fibers using micronization, autoclave, and hybrid techniques, and enhance their physicochemical properties. The global warming potential of the micronization process is relatively low compared to other two processes, and the greatest growth is observed in physicochemical properties.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Construction & Building Technology
Ravijanya Chippagiri, Divyajyoti Biswal, Sachin Mandavgane, Ana Bras, Rahul Ralegaonkar
Summary: India needs rapid and sustainable construction technology with environmentally friendly aspects. Prefabrication is commonly used to reduce carbon emissions and environmental impacts. Life cycle assessment was carried out for a new-age construction product made from agro-industrial waste, and the impact of incorporating sustainable alternates into the mix designs was studied. The environmental impact was assessed based on four different indicators, and it was found that the carbon emissions of the CFA-based concrete and lightweight prefabricated mix were 0.162 kgCO(2)e/kg and 0.268 kgCO(2)e/kg, respectively. The data presented helps academia to quantify and enhance their products' performance.
