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Chinese Journal of Chemical Engineering 2023年第12期64卷 49-63页

作者： Saptarshi Ghosh Kamalesh Sen Priyanka Debnath Arghadip mondal naba kumar mondal Aerosol and Nanoparticle Technology Laboratory Environmental Science and Engineering Department.Indian Institute of Technology BombayMumbai 400076India Environmental Chemistry Laboratory Department of Environmental ScienceThe University of BurdwanW.B 713104India

The objective in this study is to investigate the adsorption-degradation of the methylene blue(MB)dye using a fabricated heterojunction Ag@TiO_(2)nanocomposite.The batch factors used in photo catalytic reactions were pH,UV-irradiation time,temperature,catalytic dosage,and concentration of MB.The results showed that 0.2×10^(3) g·ml^(-1))of the catalytic dose caused the Ag@TiO_(2)adsorption to degrade by 96.67%with darks and UV exposure.Using the Langmuir-Hinshelwood model to determine the kinetic,the Ag@TiO_(2)displays a greater kinetic rate than TiO_(2)and silver nanoparticle(AgNPs).The photocatalytic degradation of MB,which is an endothermic reaction involving all catalysts,is shown by the thermodynamic parameter to have the positive value of enthalpy(ΔH°).The enthalpies observed were Ag@TiO_(2)(126.80 kJ·mol^(-1))

关键词： Heterojunction Ag@TiO_(2)nanocomposite Methylene blue dye Langmuir-Hinshelwood model Scavenger Density functional theoty

Litterfall,decomposition and nutrient release of Shorea robusta and Tectona grandis in a sub-tropical forest of West Bengal,Eastern India

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Journal of Forestry Research 2016年第5期27卷 1055-1065页

作者： Chittaranjan Das naba kumar mondal Department of Environmental Science The University of Burdwan

We studied leaf litter fall, decomposition and nutrient release patterns of Shorea robusta and Tectona grandis by using a litter bag technique to better understand the release pattern of nutrients to soil from leaf litter. Annual litterfall varied from 13.40 ± 2.56 t ha-1 a-1 for S. robusta to 11.03 ± 3.72 t ha-1 a-1 for T. grandis and the decay constant （k） of decomposed leaf litter was distinctly higher for T. grandis （2.70 ± 0.50 a-1） compared to S. robusta （2.41 ±0.30 a-1）. Biomass loss was positively correlated with the initial litter C, WSC, C/N and ash content in S. robusta and N, P and K concentration for T. grandis. Biomass was negatively correlated with lignin and L/N ratio for S. robusta and L, WSC, L/N and C/N ratio for T. grandis （P 〈 0.01）. Nutrient use efficiency （NUE） and nutrient accumulation index （NAI） of S. robusta was higher than for T. grandis. The retranslocation of bioelements from senescent leaves ranked as P 〉 N 〉 K. Annual N, P and K input to soil through litterfall differed significantly between the two species in the following order： N〉K^P. S. robusta was superior in terms of K and P return and T. grandis was superior in terms of N return. The two tree species showed a similar patterns of nutrient release （K 〉 P 〉 N） during decomposition of their leaf litter.Nutrients of N, K and P were the primary limiting nutrients returned to soil through litterfall with important roles in soil fertility and forest productivity.

关键词： Decay constant Lignin Litterfall Nutrientreturn Decomposition Nutrient use efficiency

Synthesis of silver nanoparticle with Colocasia esculenta(L.) stem and its larvicidal activity against Culex quinquefasciatus and Chironomus sp

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Asian Pacific Journal of Tropical Biomedicine 2019年第12期9卷 510-517页

作者： Arghadip mondal Amita Hajra Wasim Akram Shaikh Sukalyan Chakraborty naba kumar mondal Environmental Chemistry Laboratory Department of Environmental ScienceThe University of Burdwan713104West BengalIndia Department of Civil&Environmental Engineering Birla Institute of TechnologyMesraJharkhandIndia

Objective:To synthesize silver nanoparticles with Colocasia esculenta as a reducing agent and to evaluate their effect against Culex quinquefasciatus and Chironomus sp.Methods:The aqueous extract of Colocasia esculenta stem was used for nanosynthesis.The synthesized nanoparticles were characterized by UV-Vis spectrophotometry,Fourier-transform infrared spectroscopy,scanning electron microscope,transmission electron microscopy,energy-dispersive X-ray spectroscopy,X-ray diffraction and Zeta potential studies.The toxicity of Colocasia esculenta stem extract and the synthesized silver nanoparticles was evaluated against the larval stages of target human filarial vector Culex quinquefasciatus and non-target Chironomus sp.Results:Scanning electron microscopy and transmission electron microscopy studies revealed almost spherical shape of the synthesized silver nanoparticles with size ranging from 13-50 nm.After 24 hours of exposure,the LC50 and LC90 of the plant extract against 4th instars larvae of Culex quinquefasciatus were 745.56 mg/L and 1258.28 mg/L,respectively,which were higher than those of synthesized silver nanoparticles(5.17 mg/L and 17.32 mg/L after 24 h;1.58 mg/L and 13.01 mg/L after 48 h).In addition,the LC50 and LC90 of silver nanoparticles against Chironomus sp.were 9.71 mg/L and 23.15 mg/L after 24 h as well as 2.38 mg/L and 19.49 mg/L after 48 h,respectively.Conclusions:The aqueous stem extract of Colocasia esculenta is a good agent for synthesis of silver nanoparticles,which are almost spherical with size less than 30 nm.The synthesized nanoparticles show good larvicidal activity without any harmful effect on non-target species.

关键词： Silver nanoparticles Colocasia esculenta Larvicidal Culex quinquefasciatus Mortality Chironomus sp

Application of Response Surface Methodology for Optimization of Fluoride Removal Mechanism by Newely Developed Biomaterial

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American Journal of Analytical Chemistry 2013年第8期4卷 404-419页

作者： Ria Bhaumik naba kumar mondal Soumya Chattoraj Jayanta kumar Datta Department of Environmental Science The University of Burdwan Burdwan India

The adsorption capacities of new biomaterials derived from lemon leaf (Citrus sp.) toward fluoride ions have been explored by varying different physicochemical parameters such as pH, initial concentration, adsorbent dose, contact time, stirring rate and temperature. The entire study was done through batch process. Maximum fluoride adsorption of 96.9% - 98.8% was achieved with an initial concentration of 10 mg/L. Langmuir isotherm model well expressed fluoride ad- sorption onto LLD-1, LLD-2 and LLD-3. According to correlation coefficient, the fluoride adsorption onto these 3 ad- sorbents was correlated well with pseudo-second-order kinetic model. From thermodynamic study, the spontaneous nature and feasibility of the adsorption process with negative enthalpy (ΔH0) value also supported the exothermic nature were shown. The rate of fluoride adsorption was mathematically described as a function of experimental parameters and was modeled through Box-Behnken (Response surface methodology). The results showed that the responses of fluoride adsorption were significantly affected by the quadratic term of pH, initial concentration, contact time and temperature and the statistical analysis was performed by ANOVA which indicated good correlation of experimental parameters.

关键词： Lemon Leaf Fluoride Adsorption Langmuir Isotherm Pseudo-Second-Order Kinetic Model Thermodynamic Study Response Surface Methodology

Two-Stent Strategy for Bifurcation Lesions in Percutaneous Transluminal Coronary Angioplasty: Real-World Evidence

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World Journal of Cardiovascular Diseases 2024年第3期14卷 140-156页

作者： Dilip kumar Amit Malviya Animesh Mishra Rabin Chakraborty Sanjeev S. Mukherjee Soumya Patra Arindam Pande Rana Rathor Roy Debopriyo mondal Ashesh Halder Sumit Shanker Medica Superspecialty Hospital 127 Eastern Metropolitan Bypass Nitai Nagar Mukundapur Kolkata West Bengal India North Eastern Indira Gandhi Regional Institute of Health & Medical Sciences (NEIGRIHMS) Mawdiangdiang Shillong Meghalaya India

Background: Bifurcation lesions pose a high risk for adverse events after percutaneous coronary intervention (PCI). Evidence supporting the benefits of the two-stent strategy (2SS) for treating coronary bifurcation lesions in India is limited. This study aimed to evaluate the clinical outcomes of various 2SSs for percutaneous transluminal coronary angioplasty for bifurcation lesions in India. Materials and Methods: This retrospective, observational, multicentric, real-world study included 64 patients over 8 years. Data on demographics, medical history, PCI procedures, and outcomes were recorded. Descriptive statistics were computed using the SPSS software. Results: Patients (n = 64) had an average age of 65.3 ± 11.1 years, with 78.1% males. Acute coronary syndrome was reported in 18.8%, chronic stable angina in 40.6%, and unstable angina in 34.4% of participants. Two-vessel disease was observed in 98.4% of patients, and 99.4% had true bifurcation lesions. The commonly involved vessels were the left anterior descending artery (50%), left circumflex coronary artery (34.4%), and first diagonal artery (43.8%). Mean percent diameter stenosis was 87.2% ± 10.1%. The mean number of stents used was 2.00 ± 0.34. The 2SS techniques included the T and small protrusion (TAP) (39.1%), double kissing (DK) crush (18.8%), and the culotte techniques (14.1%). Procedural and angiographic success rate was 92.18%. Major adverse cardiovascular events at 1-year follow-up occurred in 7.8% of cases. Conclusion: The 2SS for bifurcation lesions showed favorable in-hospital and follow-up outcomes. Findings can serve as a resource for bifurcation angioplasty in India. Larger real-world studies with robust methodology are needed to validate these results.

关键词： Bifurcation Stenting Coronary Bifurcation Lesions Percutaneous

Tailoring in fungi for next generation cellulase production with special reference to CRISPR/CAS system

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Systems Microbiology and Biomanufacturing 2022年第1期2卷 113-129页

作者： Subhadeep mondal Suman kumar Halder Keshab Chandra mondal Center for Life Sciences Vidyasagar UniversityMidnapore 721102West BengalIndia Department of Microbiology Vidyasagar UniversityMidnapore 721102West BengalIndia

Cellulose is the utmost plenteous source of biopolymer in our earth,and fungi are the most efcient and ubiquitous organism in degrading the cellulosic biomass by synthesizing cellulases.Tailoring through genetic manipulation has played a substantial role in constructing novel fungal strains towards improved cellulase production of desired traits.However,the traditional methods of genetic manipulation of fungi are time-consuming and tedious.With the availability of the full-genome sequences of several industrially relevant flamentous fungi,CRISPR-CAS(clustered regularly interspaced short palindromic repeats/CRISPR-associated protein)technology has come into the focus for the profcient development of manipulated strains of flamentous fungi.This review summarizes the mode of action of cellulases,transcription level regulation for cellulase expression,various traditional strategies of genetic manipulation with CRISPR-CAS technology to develop modifed fungal strains for a preferred level of cellulase production,and the futuristic trend in this arena of research.

关键词： Cellulose Cellulase Fungi Genetic manipulation CRISPR CAS

Analytics of an Imperfect Four-Layer Production Inventory Model Under Two-Level Credit Period Using Branch-and-Bound Technique

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Journal of the Operations Research Society of China 2022年第4期10卷 725-748页

作者： Subrata Panja Shyamal kumar mondal Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar UniversityMidnaporeW.B.721102India

This paper explains an integrated production inventory supply chain model,which consists of a supplier,a manufacturer and a retailer under two-level credit period.One is manufacturer’s credit period offered by the supplier,and other is retailer’s credit period offered by the manufacturer.Here,the manufacturer replenishes raw materials from the supplier and produces non-deteriorating products in some cycles of equal length.It is noted that here four inventory structures have been considered to show the flow of the materials as either raw materials or finished products from supplier to retailer via manufacturer.Also in this model,manufacturer’s imperfect production has been considered.Here imperfect items are not repairable.The retailer receives good finished products from the manufacturer and sells these to his/her customers during some cycles of equal length in total time horizon.Our main objective is to find the optimal number of production and business cycles of the manufacturer such that the integrated system can get the maximum profit.The above discussed model is elaborated with the help of a numerical example,and a sensitivity analysis is done with respect to some parameters used in this model.

关键词： Supply chain Integrated production inventory Four-layer inventory system Imperfect production Two-level credit period

Understanding pore characteristics through core-based petrographic and petrophysical analysis in a heterogeneous carbonate reservoir:A case study from the Mumbai Offshore Basin,India

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Petroleum Research 2023年第4期8卷 469-480页

作者： Ilius mondal kumar Hemant Singh Department of Earth Science Indian Institute of TechnologyBombayIndia

Carbonate rocks exhibit complex and heterogeneous pore structures;such heterogeneity is manifested by the occurrence of a wide variety of pore types with different sizes and geometries as a result of depositional and diagenetic processes.These complications substantially increase the uncertainty of predicted rock hydraulic parameters because samples with comparable porosities might have very different permeability values.In this study,small-scale characterisation of porosity and permeability in heterogeneous Eocene limestone samples from the Bassein Formation of the B-X structure of the MK Field in Mumbai Offshore Basin,India,was carried out,employing an integrated framework that in-corporates thin-section petrography,routine core analysis,mercury injection capillary pressure and nuclear magnetic resonance data.The pore characteristics of these carbonates range from poor to excellent.The studied samples exhibited large ranges of porosity,permeability and other associated petrophysical attributes.The pore types,as well as their orientations and connectivity,are the primary factors causing the heterogeneity.Because of the complexity of the pore networks,a simple lithofacies classification alone would have been insufficient to link porosity and permeability.The reservoir char-acteristics in the study area are strongly linked to the development and/or destruction of reservoir porosity-permeability during different phases of diagenesis.Twenty-four carbonate core samples from the limestone unit were studied and classified into microfacies and pore type classes,producing an accurate assessment of reservoir attributes.The comprehensive workflow incorporates the pore volume distributions and pore throat attributes for each rock type.Three carbonate microfacies were identified by petrographic analysis and their petrophysical characteristics,such as porosity,permeability,pore throat size,pore volume and fluid flow factors,were measured.The study demonstrates how macro-porosity,mesoporosity and microporosity are associated w

关键词： Carbonatereservoir Permeability Mercury injection capillary pressure Nuclear magnetic resonance Porosity partitioning

Fluid substitution in NMR T_(2)distribution and resistivity independent saturation computation using synthetic capillary pressure data

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Petroleum Research 2023年第1期8卷 77-86页

作者： Ilius mondal kumar Hemant Singh Department of Earth Science Indian Institute of Technology BombayIndia

Petrophysicists and reservoir engineers utilise the capillary pressure and saturation-height function for calculating the water saturation of any reservoir,at a given height above the free water level.The results have a big impact on reserve estimation.The majority of capillary pressure studies are carried out in labs with core data.Cores,on the other hand,are usually altered from their original state before being delivered to laboratories.Moreover,the accuracy of discrete sets of core data in describing entire reservoir parameters,is still up for debate.Prediction of the capillary pressure curve in reservoir condition is an important subject that is challenging to perform.The use of nuclear magnetic resonance(NMR)logs for oil and gas exploration has grown in popularity over the last few decades.However,most of the time the utilization of the data is limited for evaluating porosity-permeability,distributions and computation of irreducible water saturation.After the advent of fluid substitution methods,NMR T_(2)distributions may now be used to synthesize core equivalent capillary pressure curves.Using fluid substitution workflow,our study introduces a better approach for obtaining capillary pressure curves from the NMR T_(2)distribution.The available core data has been used to calculate calibration parameters for better saturation height modelling.The workflow introduces a novel approach in resistivity independent saturation computation.In the exploratory wells of our study area,computed water saturation derived from the saturation height function exhibits encouraging agreement with resistivity based water saturation from multi-mineral model.The NMR based saturation height modelling approach has been included in study area for the first time so far.

关键词： Carbonate reservoir NMR fluid Substitution Capillary pressure Saturation height function Resistivity independent saturation

Core-log integration and application of machine learning technique for better reservoir characterisation of Eocene carbonates,Indian offshore

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Energy Geoscience

Energy Geoscience 2022年第1期3卷 49-62页

作者： Ilius mondal kumar Hemant Singh Indian Institute of Technology Bombay India

Rock types,pore structures and permeability are essential petrophysical outputs,and they contribute considerably to the highest degree of uncertainty in reservoir characterisation.These factors have a strong influence on exploration and field development decisions.Core analysis is the best approach for estimating permeability,assigning rock types and characterising pore networks.Wireline logs are the most often employed method for estimating the parameters at each data point of reservoirs since there are more un-cored wells than cored wells.Artificial intelligence,on the other hand,is gaining popularity in the geosciences due to the ever-increasing complexity and volume of available subsurface data.This is also obvious in the demand for faster and more accurate interpretations in order to identify reservoir characteristics in increasingly difficult and complicated petroliferous basins.Artificial Neural Networks and Self-Organizing Maps are examples of machine learning approaches that can be used in both supervised and unsupervised modes for modelling and prediction.Eocene carbonates of Mukta oilfield are the major pay rocks of strong geological heterogeneity in terms of their porosity and permeability relationship with pore structures.This paper outlines a novel method of rock fabric classification,pore structure characterization,flow unit classification and robust reservoir permeability modelling based on an integrated approach that incorporates core measurements,log data and machine learning techniques.The pore structure has been characterised by the combination of conventional core,capillary pressure and nuclear magnetic resonance data.Artificial neural network has added an adequate benefit in accurate permeability modelling by utilizing the concepts of rock classifications and hydraulic flow units.

关键词： Permeability Microfacies MICP NMR Hydraulic flow unit Artificial neural network Reservoir characterisation