Article
Metallurgy & Metallurgical Engineering
Evangelos Petrakis, Emmanouil Varouchakis, Konstantinos Komnitsas
Summary: Population balance modeling (PBM) has been widely used in grinding system modeling, but it has limitations in certain cases. A non-linear framework was introduced recently that considers PBM as a partial case. This framework allows for a more accurate estimation of product particle size distribution in relation to grinding time or energy input. Experimental results using marble as test material show that the non-linear model has better adaptability and reliability compared to PBM.
MINING METALLURGY & EXPLORATION
(2023)
Article
Metallurgy & Metallurgical Engineering
E. Petrakis, K. Komnitsas
Summary: The main objective of batch grinding modeling is to estimate the product particle size distribution over time or specific energy input to the mill. A simplified approach based on the population balance model was proposed in this study to reliably predict the complete product size distribution. Experimental data revealed non-first-order behavior in grinding and the deviation from linear theory depends on the material tested. The proposed model was validated using distribution modulus, breakage rate parameter, and optimum values.
MINING METALLURGY & EXPLORATION
(2021)
Article
Engineering, Chemical
Genghao Zhang, Yongbo Fan, Renshu Yang, Shihai Li
Summary: Particle size distribution is crucial for the quality, safety, and performance of the final product. The Rosin-Rammler function is found to be the most suitable basic model for characterizing ore powders. In this study, the infiltration pressure is correlated with the R-R function to describe the particle size distribution of quartz sandstone produced under different infiltration pressures. Experimental data and mathematical models are used to determine the parameters in the R-R function, and it is found that the higher the infiltration pressure, the smaller the average particle size and the more uniform the particle distribution. The study also discusses the application of Dimensional Analysis and Least Squares in solving complex problems.
Article
Engineering, Chemical
Rongjie Huang, Yaoshuai Ma, Hao Li, Chunya Sun, Jun Liu, Shuai Zhang, Haoqi Wang, Bing Hao
Summary: This study investigates the association mechanism between the main operation parameters and multi-physical fields of large-scale vertical mill systems. A numerical simulation method based on coupled CFD-DPM model is developed to explore the multi-physical field coupling mechanism. A multi-objective optimization framework is proposed using the Kriging surrogate model, and the optimized operating parameters increase the vertical mill yield and specific surface area.
ADVANCED POWDER TECHNOLOGY
(2023)
Article
Chemistry, Physical
Weronika Kruszelnicka, Marek Opielak, Kingsly Ambrose, Saugirdas Pukalskas, Andrzej Tomporowski, Patrycja Walichnowska
Summary: This study discussed the characteristics and advantages of different types of grinders for comminution of biological materials, focusing on the analysis of disc mills using cutting technology. Experimental results showed that comminution energy increases with size reduction ratio and the particle size distribution of ground products is related to disc rotational velocity, power consumption, and specific comminution energy.
Article
Engineering, Chemical
Mahmut Camalan
Summary: This study aims to simulate sieving losses and investigate their effects on particle size distributions. Results show that increasing sieving losses will change the position of wide distributions, while increasing losses will change both the position and shape of narrow distributions. Tolerating all sources of sieving errors may help preserve distribution shapes.
PARTICULATE SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Chemical
Francisco J. Osuna, Mariela Fernandez, Esperanza Pavon, Rosa M. Torres Sanchez, Maria D. Alba
Summary: Mechanical treatment is crucial in the processing of porous ceramics, especially for design swelling brittle micas. The duration of grinding affects the surface area and porosity of micas, with longer grinding times causing particle agglomeration and framework defects.
ADVANCED POWDER TECHNOLOGY
(2023)
Article
Engineering, Chemical
Endene Emmanuel, Vivi Anggraini, Afshin Asadi
Summary: This study investigates the breakage behavior of olivine sand particles and identifies optimal operating parameters to obtain products with different particle size classes. The findings have important implications for sustainable soil stabilization projects.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Chemistry, Physical
Ramon Arellano-Pina, Elvia Angelica Sanchez-Ramirez, Roberto Perez-Garibay, V. H. Gutierrez-Perez
Summary: This study proposes new models for rapid estimation of Bond Work Index using non-standard dimensions mills. By conducting experiments on four types of ores and four mills of different dimensions, it concludes that the constants of Bond's model need to be recalculated for mills with non-standard dimensions.
PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING
(2023)
Article
Chemistry, Applied
Seyed Ghorban Hosseini, Meysam Nouri, Mohammad Mahdi Bahri, Esmaiel Bazrafshan
Summary: Ammonium perchlorate, an important oxidizer in solid propellants, was prepared using the cooling crystallization method with four parameters evaluated for their effects on crystal morphology. The study found that surfactant had the greatest impact on morphology, while the agitator speed, flow pattern, and cooling rate had lesser effects. The optimal crystal obtained had a sphericity of 0.77, roundness of 0.79, aspect ratio of 1.40, and a homogeneity factor of 2.22 based on the Rosin-Rammler model.
PROPELLANTS EXPLOSIVES PYROTECHNICS
(2021)
Article
Agricultural Engineering
L. O. Pordesimo, C. Igathinathane, G. A. Holt
Summary: Considering the need for efficient grinding of grasses for bioenergy, particularly in mass flow manner, a study was conducted to investigate the grinding of weathered and unweathered switchgrass using a hammermill. The results showed similar grinding rates for both conditions with increasing screen opening size, but with slightly higher throughput for unweathered switchgrass. The particle size distribution parameters were not affected by the switchgrass condition, but there was a difference in the geometric mean length between the two conditions. Further research is needed.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Environmental Sciences
Yun-hong Cheng, Bai-qiang Tong, Xiao-hui Sun, Jing-yu Zhang
Summary: This study investigates the effects of mechanical activation on high-silicon iron tailings (HSITs). The results show that ultrafine grinding improves the particle size distribution and chemical reactivity of HSITs by reducing particle size, increasing specific surface area, and lowering crystallinity of the minerals.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Food Science & Technology
Lu-Jing Gan, Shutian Chen, Weili Chen, Yanting Ye, Lei Lei, Zeyuan Deng, Han Rong
Summary: After grinding and sifting, three types of SFR powder with different particle sizes were obtained and their chemical composition and physical properties were investigated. The soluble dietary fiber increased from 13.15% to 27.17% as the particle size decreased, while the insoluble dietary fiber decreased from 66.92% to 34.72%. Water holding capacity, swelling capacity, and oil holding capacity also decreased with reduced particle size. Different amounts of SFR powders were used to make sugar-free cookies and their effects on texture and sensory evaluation were studied. Smaller particle size resulted in higher spread ratio of cookies, and SFR powder replacement significantly reduced cookie hardness without affecting fracturability. Sensory evaluation showed that SFR-200-9 received the highest score in odor, texture, and overall acceptability, followed by SFR-75-9.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Agriculture, Dairy & Animal Science
Guoyi Niu, Tingrui Zhang, Shengxiong Cao, Xi Zhang, Linli Tao
Summary: This study investigates the effect of grinding methods, including roller mill, hammer mill, and two-stage grinding, on the particle size distribution of corn and the effect of corn particle size on the nutrient digestibility of native chickens in Southwest China. Combining roller and hammer mills tends to produce a more uniform particle size. Finely ground corn improves the nutrient digestibility of the chickens at week 12, and an increased particle size does not impact the crude protein and amino acid digestibility of the chickens at week 19.
Article
Energy & Fuels
Marvin Masche, Maria Puig-Arnavat, Peter A. Jensen, Jens Kai Holm, Sonnik Clausen, Jesper Ahrenfeldt, Ulrik B. Henriksen
Summary: This study investigates the influence of wood pellet properties on the grindability of pellets using a lab-scale disc mill. The study found that drying pellets increased their brittleness and improved their grindability, with a larger impact on industrial pellets. Beech pellets had better grindability than pine pellets.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Biochemistry & Molecular Biology
Birendra Kumar, P. Parasuraman, Thirupathihalli Pandurangappa Krishna Murthy, Manikanta Murahari, Vivek Chandramohan
Summary: Research has shown that phytochemicals from Strychnos nux-vomica possess therapeutic activities, with two analogues—demethoxyguiaflavine and strychnoflavine—demonstrating potential inhibitory effects on M-Pro, suggesting they could be validated through clinical studies.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Nilofer Gerald Arakal, Vaishali Sharma, Avinash Kumar, B. Kavya, N. G. Devadath, S. Birendra Kumar, Krishna Tp Murthy, Manikanta Murahari
Summary: The study focused on developing novel and small Bcl-2 inhibitors using ligand-based drug design approach. Through pharmacophore generation, molecular docking, QSAR modeling, and in silico prediction, the study identified three potential molecules with promising stability and binding affinity. These findings suggest the potential of further testing ZINC76760927, ZINC76768675, and ZINC52767796 as safe and effective Bcl-2 inhibitors.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Biology
S. Birendra Kumar, Swati Krishna, Sneha Pradeep, Divya Elsa Mathews, Ramya Pattabiraman, Manikanta Murahari, T. P. Krishna Murthy
Summary: The study utilized a computational approach to screen potential SARS-CoV-2 M-pro inhibitors from Cyperus rotundus Linn, identifying beta-amyrin and stigmasta-5,22-dien-3-ol as promising candidates. By evaluating binding free energy and conducting molecular dynamics simulations, the study showed the strong binding interactions and stability of these compounds. Additionally, ADMET studies were performed to assess the pharmacokinetic properties and safety profile of the compounds.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Biology
Sidharth Saxena, Sai B. Achyuth, T. P. Krishna Murthy, Vivek Chandramohan, Arvind Kumar Yadav, Tiratha Raj Singh
Summary: This study conducted a comprehensive in-silico analysis of disease-associated SNPs of human GOT1, identifying four highly deleterious nsSNPs. Most of the identified nsSNPs are located at highly conserved residues, oncogenic in nature, and act as cancer drivers.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Biology
Swati Krishna, S. Birendra Kumar, T. P. Krishna Murthy, Manikanta Murahari
Summary: The BCL-2 family plays a crucial role in cellular apoptosis, with the overexpression of anti-apoptotic members linked to cell death evasion and cancer metastasis. BH3-mimetic drugs are being explored as BCL-2 inhibitors, with ZINC68728276 and ZINC14166367 identified as potential inhibitors in silico.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Oncology
Gouri Nair, G. N. S. Hema Sree, Ganesan Rajalekshmi Saraswathy, V. Lakshmi Prasanna Marise, T. P. Krishna Murthy
Summary: This study identified potential HCC targets through genetic data analysis and protein-protein interaction network analysis, and screened out FDA-approved drugs with potential activity through molecular docking and dynamic simulation studies. Finally, the cytotoxicity of Labetalol was confirmed in vitro, suggesting its potential as a repurposable drug against HCC.
Article
Computer Science, Interdisciplinary Applications
Hema G. N. S. Sree, V. Lakshmi Prasanna Marise, Saraswathy Ganesan Rajalekshmi, Raghunadha R. Burri, T. P. Krishna Murthy
Summary: Alzheimer's Disease is a progressive neurodegenerative disorder with limited treatment options. Drug repurposing research offers a new therapeutic approach to accelerate drug discovery targeting disease-specific targets.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Chemistry, Physical
Sidharth Saxena, T. P. Krishna Murthy, Vivek Chandramohan, Sai Achyuth, M. Maansi, Papiya Das, V. Sineagha, Sriraksha Prakash
Summary: PNMT gene is associated with neurodegenerative disorders and this study identified five deleterious mutations through various analyses. The mutations were predicted to be oncogenic and may affect the stability of PNMT.
MOLECULAR SIMULATION
(2022)
Article
Chemistry, Physical
Swati Krishna, T. P. Krishna Murthy, G. Divyashri, Manikanta Murahari, Rohit Shukla, S. Birendra Kumar, Tiratha Raj Singh
Summary: The study designed drugs with anticancer potential by combining features of synthetic drugs and phytochemicals. Effective compounds were screened using ligand-based pharmacophore model and quantitative structure-activity relationship studies. Docking, ADMET, and molecular dynamics simulation studies confirmed the high activity and good stability of the identified compounds.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Biochemistry & Molecular Biology
T. P. Krishna Murthy, Rohit Shukla, N. Durga Prasad, Praveen Swetha, S. Shreyas, Tiratha Raj Singh, Ramya Pattabiraman, Shishira S. S. Nair, Blessy B. B. Mathew, K. M. Kumar
Summary: This study identified deleterious mutations of the GALM gene through computational analysis and further investigated their impact on the structural and functional properties of the protein.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2022)
Article
Multidisciplinary Sciences
Sidharth Saxena, T. P. Krishna Murthy, C. R. Chandrashekhar, Lavan S. Patil, Abhinav Aditya, Rohit Shukla, Arvind Kumar Yadav, Tiratha Raj Singh, Mahesh Samantaray, Amutha Ramaswamy
Summary: This study identified five novel deleterious missense SNPs of the TPMT gene and analyzed their oncogenic and deleterious properties using in silico methods. Future research can focus on the impact of these mutations on disease progression and treatment.
SCIENTIFIC REPORTS
(2022)
Article
Biochemistry & Molecular Biology
Anushka A. Poola, Prithvi S. Prabhu, T. P. Krishna Murthy, Manikanta Murahari, Swati Krishna, Mahesh Samantaray, Amutha Ramaswamy
Summary: Dengue, a viral disease transmitted by the Aedes mosquito, poses a growing public health concern in tropical and subtropical regions. With a lack of specific antiviral treatments available, identifying compounds with antiviral activity against the dengue virus is crucial. The NS2B-NS3 dengue protease plays a vital role in replication and viral assembly, making it a promising target for antiviral drug design.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Arvind Kumar Yadav, T. P. Krishna Murthy, Gangaraju Divyashri, N. Durga Prasad, Sriraksha Prakash, V. Vijaya Vaishnavi, Rohit Shukla, Tiratha Raj Singh
Summary: HMOX1 is a cytoprotective enzyme crucial for preventing atherogenesis. This study characterized and analyzed high-risk nsSNPs associated with the HMOX1 gene, and identified a detrimental mutation (R183S) that could significantly reduce the enzymatic activity of HMOX1.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Biochemistry & Molecular Biology
Aishwarya Girish, Samruddhi Sutar, T. P. Krishna Murthy, Suheeth Amberi Premanand, Vrinda Garg, Lavan Patil, S. Shreyas, Rohit Shukla, Arvind Kumar Yadav, Tiratha Raj Singh
Summary: QDPR is an enzyme that regulates the cofactor BH4 involved in neurotransmitter synthesis and blood pressure regulation. Reduced QDPR activity can cause BH2 accumulation and BH4 depletion, leading to impaired neurotransmitter synthesis and increased risk of Parkinson's disease. The study identifies harmful mutations in the QDPR gene and provides insights into their impact on protein structure and function, as well as potential pathogenicity and oncogenicity.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Biochemistry & Molecular Biology
Mahesh Samantaray, Ramya Pattabiraman, T. P. Krishna Murthy, Amutha Ramaswamy, Manikanta Murahari, Swati Krishna, S. Birendra Kumar
Summary: In this study, a structure-based drug design approach was used to screen a large library of natural compounds against the NS3-4A protease of Hepatitis C Virus. Molecular dynamic simulations and Free Energy Landscape analysis showed that certain compounds had favorable binding affinities and formed stable associations with the target protease through hydrogen bonding. These compounds have the potential to be further validated through biological evaluation.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
