Mojtaba Hedayati Marzbali

Dr. Mojtaba Hedayati Marzbali


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 2021 in Chemosphere
Verified
Journal Article
Closed access
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
SKSazal Kundu
Sazal Kundu
PHPobitra Halder
Pobitra Halder
SPSavankumar Patel
Savankumar Patel
Ibrahim Gbolahan HakeemIbrahim Gbolahan Hakeem
Ibrahim Gbolahan Hakeem
Kalpit ShahKalpit Shah
Kalpit Shah

16 December 2020 in Environmental Science: Water Research & Technology
Verified
Journal Article
Closed access
PDF file
SKSazal Kundu
Sazal Kundu
SPSavankumar Patel
Savankumar Patel
PHPobitra Halder
Pobitra Halder
TPTejas Patel
Tejas Patel
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
Kalpit ShahKalpit Shah
Kalpit Shah
This study focuses on the conversion of biosolids to biochar and its further use in adsorbing per- and polyfluoroalkyl substances (PFASs) from contaminated water.

1 August 2021 in Journal of Environmental Chemical Engineering
Verified
Journal Article
Closed access
Ibrahim Gbolahan HakeemIbrahim Gbolahan Hakeem
Ibrahim Gbolahan Hakeem
PHPobitra Halder
Pobitra Halder
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
SPSavankumar Patel
Savankumar Patel
SKSazal Kundu
Sazal Kundu
KSKalpit Shah
Kalpit Shah

6 March 2021 in Biofuels
Verified
Journal Article
Closed access
NKNavid Kardani
Navid Kardani
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
KSKalpit Shah
Kalpit Shah
AZAnnan Zhou
Annan Zhou
The elevated conditions needed for hydrothermal carbonization of biomass require a special high-pressure reactor which makes it expensive and time-consuming. The soft computing approaches as proposed here can predict the conversion of any feedstock based on the composition and operating conditions without the need for any kinetic modeling. In this study, Extreme Gradient Boosting method (XGBoost), Multilayer Perceptron Artificial Neural Network (MLPANN) and Support Vector Machine (SVM) were trained in python programming language using the data available from the literature for hydrothermal carbonization of different biomass. Statistically, XGBoost showed a higher accuracy among all studied approaches with R2 of 0.999 and 0.964 for training and testing data, respectively. The conversion was sensitive to temperature, time, lignin, moisture content, cellulose and hemicellulose, respectively, for the range of conditions applied. It was also revealed that none of the parameters were negligible, however operating conditions were more influential followed by lignin content. This proposed approach can be extended to include liquefaction and gasification processes, where the distribution of products can be estimated for any lignocellulosic biomass.

1 January 2022 in Journal of Environmental Management
Verified
Journal Article
Closed access
Kalpit ShahKalpit Shah
Kalpit Shah
SPSavankumar Patel
Savankumar Patel
PHPobitra Halder
Pobitra Halder
SKSazal Kundu
Sazal Kundu
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
TPTejas Patel
Tejas Patel

5 September 2024 in Journal of Environmental Management
Verified
Journal Article
Open access
MMMojtaba Hedayati Marzbali
Mojtaba Hedayati Marzbali
Ibrahim Gbolahan HakeemIbrahim Gbolahan Hakeem
Ibrahim Gbolahan Hakeem
TNTien Tri Minh Ngo
Tien Tri Minh Ngo
RBRajkamal Balu
Rajkamal Balu
MJManoj Jena
Manoj Jena
Kalpit ShahKalpit Shah
Kalpit Shah
Thermochemical treatment is rapidly emerging as an alternative method for the management of stabilised sewage sludges (biosolids) to effectively reduce waste volume, degrade contaminants, and generate valuable products, particularly biochar and hydrochar. Biosolids-derived char has a relatively high concentration of heavy metals compared with agricultural chars but is still applied to land due to its beneficial properties and ability to retain metals. However, non-agricultural applications can provide additional economic and environmental benefits, promote sustainability and support a circular economy. This review identifies extensive non-agricultural opportunity for biosolids biochar, including adsorption, catalysis, energy storage systems, biological process enhancement, and as additives for rubber compounding and construction. Biosolids chars have received limited attention vs agricultural char, and we draw on both areas of literature, as well as evaluating differences between agricultural and biosolids chars. A key opportunity for biosolids biochar in comparison with other materials and agricultural chars is its sustainable and low-cost nature, relatively high metals content, improving catalyst properties, and ability to modify in various stages to tune it to specific applications. The specific opportunities for hydrochar have only received limited attention. Research needs to include better understanding of the benefits and limitations for specific applications, as well as adjacent drivers, including society, regulation, and market and economics.