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Advanced Sensors Technologies Applied in Mobile Robot / / Gregor Klančar, Marija Seder, Saso Blazič, editors
| Advanced Sensors Technologies Applied in Mobile Robot / / Gregor Klančar, Marija Seder, Saso Blazič, editors |
| Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (370 pages) |
| Disciplina | 660.284248 |
| Soggetto topico | Mobile robots |
| ISBN | 3-0365-7239-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910719779303321 |
| [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Supercritical Fluids Technologies / / Igor Pioro
| Advanced Supercritical Fluids Technologies / / Igor Pioro |
| Autore | Pioro Igor |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2020 |
| Descrizione fisica | 1 online resource (xii, 209 pages) |
| Disciplina | 660.284248 |
| Soggetto topico |
Supercritical fluids
Supercritical fluid extraction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910688315403321 |
Pioro Igor
|
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| London : , : IntechOpen, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Latest Advances in Preservation Technology for Fresh Fruit and Vegetables / / Peng Jin, editor
| Latest Advances in Preservation Technology for Fresh Fruit and Vegetables / / Peng Jin, editor |
| Pubbl/distr/stampa | Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (166 pages) |
| Disciplina | 660.284248 |
| Soggetto topico | Chemical technology |
| ISBN | 3-0365-6476-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910683389103321 |
| Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling, simulation, and optimization of supercritical and subcritical fluid extraction processes / / Zainuddin Abdul Manan, Gholamreza Zahedi, Ana Najwa Mustapa
| Modeling, simulation, and optimization of supercritical and subcritical fluid extraction processes / / Zainuddin Abdul Manan, Gholamreza Zahedi, Ana Najwa Mustapa |
| Autore | Manan Zainuddin Abdul |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley : , : American Institute of Chemical Engineers, , [2022] |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 660.284248 |
| Soggetto topico | Supercritical fluid extraction - Simulation methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-30320-6
1-119-30319-2 1-119-30321-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Nomenclature -- Chapter 1 Fundamentals of Supercritical and Subcritical Fluid Extraction -- 1.1 Introduction -- 1.2 Supercritical Fluid Properties -- 1.3 Subcritical Condition -- 1.4 Physical Properties of Subcritical Fluid -- 1.5 Principles of Sub- and Supercritical Extraction Process -- 1.5.1 Solid Sample Extraction -- 1.5.2 Liquid Sample Extraction -- 1.6 Applications of SCF Extraction -- 1.6.1 Decaffeination of Coffee and Tea -- 1.6.2 Removal of FFA in Fats and Oils -- 1.6.3 Enrichment of Tocopherols -- 1.6.4 Carotenes from Crude Palm Oil and from Palm Fatty Acid Esters -- 1.7 Solubility of Solutes in SCFs -- 1.8 Solute-Solvent Compatibility -- 1.9 Solubility and Selectivity of Low-Volatility Organic Compounds in SCFs -- 1.10 Method of Solubility Measurement -- 1.10.1 Static Method -- 1.10.2 Dynamic Method -- 1.11 Determination of Solvent -- 1.11.1 Carbon Dioxide (CO2) -- 1.11.2 1,1,1,2-Tetrafluoroethane (R134a) as a Solvent -- 1.12 Important Parameter Affecting Supercritical Extraction Process -- 1.12.1 Pressure and Temperature -- 1.12.2 Solvent Flowrate -- 1.12.3 Cosolvent -- 1.12.4 Moisture Content -- 1.12.5 Raw Material -- 1.13 Profile of Extraction Curves -- 1.14 Design and Scale Up -- Chapter 2 Modeling and Optimization Concept -- 2.1 SFE Modeling -- 2.1.1 Importance of Knowing the Solid Matrix and Selecting a Suitable Model -- 2.1.2 Different Modeling Approaches in SFE -- 2.1.2.1 Experimental Models -- 2.1.2.2 Models Which Are Based on Similarity between Heat and Mass Transfer -- 2.1.2.3 Models Based on Conservation Balance Equations -- 2.2 First Principle Modeling -- 2.2.1 The Equation of Continuitya -- 2.2.2 The Equation of Motion in Terms of τ -- 2.2.3 The Equation of Energy in Terms of q -- 2.3 Hybrid Modeling or Gray Box -- 2.4 ANN.
2.4.1 Simple Neural Network Structure -- 2.4.1.1 Transfer Function -- 2.4.1.2 Activation Functions -- 2.4.1.3 Learning Rules -- 2.4.2 Network Architecture -- 2.5 Fuzzy Logic -- 2.5.1 Boolean Logic and Fuzzy Logic -- 2.5.2 Fuzzy Sets -- 2.5.3 Membership Function -- 2.5.3.1 Membership Function Types -- 2.5.4 Fuzzy Rules -- 2.5.4.1 Classical Rules and Fuzzy Rules -- 2.5.5 Fuzzy Expert System and Fuzzy Inference -- 2.5.5.1 Mamdani FIS -- 2.5.5.1.1 Fuzzification -- 2.5.5.1.2 Fuzzy Logical Operation and Rule Evaluation -- 2.5.5.1.3 Implication Method -- 2.5.5.1.4 Aggregation of the Rule Outputs -- 2.5.5.1.5 Defuzzification -- 2.5.5.2 Sugeno Fuzzy Inference -- 2.6 Neuro Fuzzy -- 2.6.1 Structure of a Neuro Fuzzy System -- 2.6.2 Adaptive Neuro Fuzzy Inference System (ANFIS) -- 2.6.2.1 Learning in the ANFIS Model -- 2.7 Optimization -- 2.7.1 Traditional Optimization Methods -- 2.7.2 Evolutionary Algorithm -- 2.7.3 Simulated Annealing Algorithm -- 2.7.4 Genetic Algorithm -- 2.7.4.1 Genetic Algorithm Definitions -- 2.7.4.2 Genetic Algorithms Overview -- 2.7.4.3 Preliminary Considerations -- 2.7.4.4 Overview of Genetic Programming -- 2.7.4.5 Implementation Details -- 2.7.4.5.1 Selection Operator -- 2.7.4.5.2 Crossover Operator -- 2.7.4.5.3 Mutation Operator -- 2.7.4.6 Effects of Genetic Operators -- 2.7.4.7 The Algorithms -- Chapter 3 Physical Properties of Palm Oil as Solute -- 3.1 Introduction -- 3.2 Palm Oil Fruit -- 3.3 Palm Oil Physical and Chemical Properties -- 3.3.1 Palm Oil Triglycerides -- 3.3.2 Minor Components in Palm Oil -- 3.4 Vegetable Oil Refining -- 3.5 Conventional Palm Oil Refining Process -- 3.5.1 Chemical Refining -- 3.5.2 Physical Refining -- 3.5.3 Effect of Palm Oil Refining -- 3.6 Conclusions -- Chapter 4 First Principle Supercritical and Subcritical Fluid Extraction Modeling: Part I: Modeling Methodology -- 4.1 Introduction. 4.2 Phase Equilibrium Modeling -- 4.3 The Redlich-Kwong-Aspen Equation of State -- 4.3.1 Calculations of Pure Component Parameters for the RKA-EOS -- 4.3.2 Binary Mixture Calculations -- 4.4 Palm Oil System Characterization -- 4.4.1 Palm Oil Triglycerides -- 4.4.2 Free Fatty Acids -- 4.4.3 Palm Oil Minor Components -- 4.5 Development of Aspen Plus® Physical Property Database for Palm Oil Components -- 4.5.1 Vapor Pressure Estimation -- 4.5.2 Estimation of Pure Component Critical Properties -- 4.5.2.1 Critical Properties Estimation Using Normal Boiling Point -- 4.5.2.2 Critical Properties Estimation Using One Vapor Pressure Point -- 4.6 Binary Interaction Parameters Calculations -- 4.7 Supercritical Fluid Extraction Process Development -- 4.7.1 Hydrodynamics of Countercurrent SFE Process -- 4.7.2 Solubility of Palm Oil in Supercritical CO2 -- 4.7.3 Process Modeling and Simulation -- 4.7.3.1 Simple Countercurrent Extraction -- 4.7.3.2 Countercurrent Extraction with External Reflux -- 4.7.4 Process Analysis and Optimization -- Part II: Results and Discussion -- 4.8 Palm Oil Component Physical Properties -- 4.8.1 Vapor Pressure of Palm Oil Components -- 4.8.2 Pure Component Critical Properties -- 4.9 Regression of Interaction Parameters for the Palm Oil Components-Supercritical CO2 Binary System -- 4.9.1 Binary System: Triglyceride - Supercritical CO2 -- 4.9.2 Binary System: Oleic Acid - Supercritical CO2 -- 4.9.3 Binary System: α-Tocopherol - Supercritical CO2 -- 4.9.4 Binary System: β-Carotene - Supercritical CO2 -- 4.9.5 Temperature-Dependent Interaction Parameters -- 4.10 Phase Equilibrium Calculation for the Palm Oil -Supercritical CO2 System -- 4.11 Ternary System: CO2 - Triglycerides - Free Fatty Acids -- 4.12 Distribution Coefficients of Palm Oil Components -- 4.13 Separation Factor Between Palm Oil Components. 4.13.1 Separation Factor Between Fatty Acids and Triglycerides -- 4.13.2 Separation Factor Between Fatty Acids and α-Tocopherols -- 4.14 Base Case Process Simulation -- 4.14.1 Palm Oil Deacidification Process -- 4.14.1.1 Solubility of Palm Oil in Supercritical CO2 -- 4.14.1.2 Palm Oil Deacidification Process: Comparison to Pilot Plant Results -- 4.15 Conclusion -- Chapter 5 Application of Other Supercritical and Subcritical Modeling Techniques -- 5.1 Mass Transfer, Correlation, ANN, and Neuro Fuzzy Modeling of Sub- and Supercritical Fluid Extraction Processes -- 5.2 Mass Transfer Model -- 5.3 ANN Modeling -- 5.4 Neuro Fuzzy Modeling -- 5.5 ANFIS and Gray-box Modeling of Anise Seeds -- 5.6 White Box SFE Modeling of Anise -- 5.6.1 Gray Box Parameters -- 5.6.2 ANFIS -- 5.6.2.1 Preprocessing -- 5.6.3 Gray Box -- 5.7 Results and Discussion -- 5.7.1 ANFIS -- 5.7.2 Gray Box Modeling Results -- 5.7.2.1 Black Box -- 5.7.3 Comparison of ANFIS and Gray Box Models with ANN and White Box Models -- 5.8 Introduction - Statistical versus ANN Modeling -- 5.9 Supercritical Carbon Dioxide Extraction of Q. infectoria Oil -- 5.9.1 Materials and Methods -- 5.9.2 Experimental Design -- 5.9.3 Artificial Neural Network Modeling -- 5.10 Subcritical Ethanol Extraction of Java Tea Oil -- 5.10.1 Artificial Neural Network Modeling -- 5.11 SFE of Oil from Passion Fruit Seed -- 5.11.1 Experimental Procedures -- 5.11.2 RSM Statistical Modeling -- 5.11.3 ANN Modeling of Passion Fruit Seed Oil Extraction with Supercritical Carbon Dioxide -- Chapter 6 Experimental Design Concept and Notes on Sample Preparation and SFE Experiments -- 6.1 Introduction -- 6.2 Experimental Design -- 6.3 Statistical Optimization -- 6.4 Optimization of Palm Oil Subcritical R134a Extraction -- 6.4.1 Effect of Temperature and Pressure -- 6.4.2 Model Fitting -- 6.4.3 Process Optimization. 6.5 Comparison of Subcritical R134a and Supercritical CO2 Extraction of Palm Oil -- 6.5.1 Extraction Performance -- 6.5.2 Economic Factor -- 6.6 Sample Pretreatment -- 6.6.1 Moisture Content Reduction -- 6.6.2 Sample Size Reduction -- 6.7 New Trends in Pretreatment -- 6.8 Optimal Pretreatment -- Chapter 7 Supercritical and Subcritical Optimization: Part I: First Principle Optimization -- 7.1 Introduction -- 7.2 Evaluation of Separation Performance -- 7.2.1 Effects of Temperature and Pressure -- 7.2.2 Effect of the Number of Stages -- 7.2.3 Effect of Solvent-to-Feed Ratio -- 7.2.4 Effect of Reflux Ratio -- 7.3 Parameter Optimization of Palm Oil Deacidification Process -- 7.3.1 Simple Countercurrent Extraction (Without Reflux) -- 7.3.2 Countercurrent Extraction with Reflux -- 7.4 Proposed Flowsheet for Palm Oil Refining Process -- 7.5 Conclusions -- Part II: ANN, GA Statistical Optimization -- 7.6 Introduction -- 7.7 Traditional Optimization -- 7.8 Nimbin Extraction Process Optimization -- 7.9 Genetic Algorithm for Mass Transfer Correlation Development -- 7.10 Optimizing Chamomile Extraction -- 7.11 Statistical and ANN Optimization -- 7.12 Conclusion -- Appendix A Calculation of the Composition for Palm Oil TG (Lim et al. 2003) -- Appendix B Calculation of Distribution Coefficient and Separation Factor (Lim et al. 2003) -- Appendix C Calculation of Palm Oil Solubility in Supercritical CO2 (Lim et al. 2003) -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910555162903321 |
|
Manan Zainuddin Abdul
|
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| Hoboken, New Jersey : , : Wiley : , : American Institute of Chemical Engineers, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling, simulation, and optimization of supercritical and subcritical fluid extraction processes / / Zainuddin Abdul Manan, Gholamreza Zahedi, Ana Najwa Mustapa
| Modeling, simulation, and optimization of supercritical and subcritical fluid extraction processes / / Zainuddin Abdul Manan, Gholamreza Zahedi, Ana Najwa Mustapa |
| Autore | Manan Zainuddin Abdul |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley : , : American Institute of Chemical Engineers, , [2022] |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 660.284248 |
| Soggetto topico | Supercritical fluid extraction - Simulation methods |
| ISBN |
1-119-30320-6
1-119-30319-2 1-119-30321-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Nomenclature -- Chapter 1 Fundamentals of Supercritical and Subcritical Fluid Extraction -- 1.1 Introduction -- 1.2 Supercritical Fluid Properties -- 1.3 Subcritical Condition -- 1.4 Physical Properties of Subcritical Fluid -- 1.5 Principles of Sub- and Supercritical Extraction Process -- 1.5.1 Solid Sample Extraction -- 1.5.2 Liquid Sample Extraction -- 1.6 Applications of SCF Extraction -- 1.6.1 Decaffeination of Coffee and Tea -- 1.6.2 Removal of FFA in Fats and Oils -- 1.6.3 Enrichment of Tocopherols -- 1.6.4 Carotenes from Crude Palm Oil and from Palm Fatty Acid Esters -- 1.7 Solubility of Solutes in SCFs -- 1.8 Solute-Solvent Compatibility -- 1.9 Solubility and Selectivity of Low-Volatility Organic Compounds in SCFs -- 1.10 Method of Solubility Measurement -- 1.10.1 Static Method -- 1.10.2 Dynamic Method -- 1.11 Determination of Solvent -- 1.11.1 Carbon Dioxide (CO2) -- 1.11.2 1,1,1,2-Tetrafluoroethane (R134a) as a Solvent -- 1.12 Important Parameter Affecting Supercritical Extraction Process -- 1.12.1 Pressure and Temperature -- 1.12.2 Solvent Flowrate -- 1.12.3 Cosolvent -- 1.12.4 Moisture Content -- 1.12.5 Raw Material -- 1.13 Profile of Extraction Curves -- 1.14 Design and Scale Up -- Chapter 2 Modeling and Optimization Concept -- 2.1 SFE Modeling -- 2.1.1 Importance of Knowing the Solid Matrix and Selecting a Suitable Model -- 2.1.2 Different Modeling Approaches in SFE -- 2.1.2.1 Experimental Models -- 2.1.2.2 Models Which Are Based on Similarity between Heat and Mass Transfer -- 2.1.2.3 Models Based on Conservation Balance Equations -- 2.2 First Principle Modeling -- 2.2.1 The Equation of Continuitya -- 2.2.2 The Equation of Motion in Terms of τ -- 2.2.3 The Equation of Energy in Terms of q -- 2.3 Hybrid Modeling or Gray Box -- 2.4 ANN.
2.4.1 Simple Neural Network Structure -- 2.4.1.1 Transfer Function -- 2.4.1.2 Activation Functions -- 2.4.1.3 Learning Rules -- 2.4.2 Network Architecture -- 2.5 Fuzzy Logic -- 2.5.1 Boolean Logic and Fuzzy Logic -- 2.5.2 Fuzzy Sets -- 2.5.3 Membership Function -- 2.5.3.1 Membership Function Types -- 2.5.4 Fuzzy Rules -- 2.5.4.1 Classical Rules and Fuzzy Rules -- 2.5.5 Fuzzy Expert System and Fuzzy Inference -- 2.5.5.1 Mamdani FIS -- 2.5.5.1.1 Fuzzification -- 2.5.5.1.2 Fuzzy Logical Operation and Rule Evaluation -- 2.5.5.1.3 Implication Method -- 2.5.5.1.4 Aggregation of the Rule Outputs -- 2.5.5.1.5 Defuzzification -- 2.5.5.2 Sugeno Fuzzy Inference -- 2.6 Neuro Fuzzy -- 2.6.1 Structure of a Neuro Fuzzy System -- 2.6.2 Adaptive Neuro Fuzzy Inference System (ANFIS) -- 2.6.2.1 Learning in the ANFIS Model -- 2.7 Optimization -- 2.7.1 Traditional Optimization Methods -- 2.7.2 Evolutionary Algorithm -- 2.7.3 Simulated Annealing Algorithm -- 2.7.4 Genetic Algorithm -- 2.7.4.1 Genetic Algorithm Definitions -- 2.7.4.2 Genetic Algorithms Overview -- 2.7.4.3 Preliminary Considerations -- 2.7.4.4 Overview of Genetic Programming -- 2.7.4.5 Implementation Details -- 2.7.4.5.1 Selection Operator -- 2.7.4.5.2 Crossover Operator -- 2.7.4.5.3 Mutation Operator -- 2.7.4.6 Effects of Genetic Operators -- 2.7.4.7 The Algorithms -- Chapter 3 Physical Properties of Palm Oil as Solute -- 3.1 Introduction -- 3.2 Palm Oil Fruit -- 3.3 Palm Oil Physical and Chemical Properties -- 3.3.1 Palm Oil Triglycerides -- 3.3.2 Minor Components in Palm Oil -- 3.4 Vegetable Oil Refining -- 3.5 Conventional Palm Oil Refining Process -- 3.5.1 Chemical Refining -- 3.5.2 Physical Refining -- 3.5.3 Effect of Palm Oil Refining -- 3.6 Conclusions -- Chapter 4 First Principle Supercritical and Subcritical Fluid Extraction Modeling: Part I: Modeling Methodology -- 4.1 Introduction. 4.2 Phase Equilibrium Modeling -- 4.3 The Redlich-Kwong-Aspen Equation of State -- 4.3.1 Calculations of Pure Component Parameters for the RKA-EOS -- 4.3.2 Binary Mixture Calculations -- 4.4 Palm Oil System Characterization -- 4.4.1 Palm Oil Triglycerides -- 4.4.2 Free Fatty Acids -- 4.4.3 Palm Oil Minor Components -- 4.5 Development of Aspen Plus® Physical Property Database for Palm Oil Components -- 4.5.1 Vapor Pressure Estimation -- 4.5.2 Estimation of Pure Component Critical Properties -- 4.5.2.1 Critical Properties Estimation Using Normal Boiling Point -- 4.5.2.2 Critical Properties Estimation Using One Vapor Pressure Point -- 4.6 Binary Interaction Parameters Calculations -- 4.7 Supercritical Fluid Extraction Process Development -- 4.7.1 Hydrodynamics of Countercurrent SFE Process -- 4.7.2 Solubility of Palm Oil in Supercritical CO2 -- 4.7.3 Process Modeling and Simulation -- 4.7.3.1 Simple Countercurrent Extraction -- 4.7.3.2 Countercurrent Extraction with External Reflux -- 4.7.4 Process Analysis and Optimization -- Part II: Results and Discussion -- 4.8 Palm Oil Component Physical Properties -- 4.8.1 Vapor Pressure of Palm Oil Components -- 4.8.2 Pure Component Critical Properties -- 4.9 Regression of Interaction Parameters for the Palm Oil Components-Supercritical CO2 Binary System -- 4.9.1 Binary System: Triglyceride - Supercritical CO2 -- 4.9.2 Binary System: Oleic Acid - Supercritical CO2 -- 4.9.3 Binary System: α-Tocopherol - Supercritical CO2 -- 4.9.4 Binary System: β-Carotene - Supercritical CO2 -- 4.9.5 Temperature-Dependent Interaction Parameters -- 4.10 Phase Equilibrium Calculation for the Palm Oil -Supercritical CO2 System -- 4.11 Ternary System: CO2 - Triglycerides - Free Fatty Acids -- 4.12 Distribution Coefficients of Palm Oil Components -- 4.13 Separation Factor Between Palm Oil Components. 4.13.1 Separation Factor Between Fatty Acids and Triglycerides -- 4.13.2 Separation Factor Between Fatty Acids and α-Tocopherols -- 4.14 Base Case Process Simulation -- 4.14.1 Palm Oil Deacidification Process -- 4.14.1.1 Solubility of Palm Oil in Supercritical CO2 -- 4.14.1.2 Palm Oil Deacidification Process: Comparison to Pilot Plant Results -- 4.15 Conclusion -- Chapter 5 Application of Other Supercritical and Subcritical Modeling Techniques -- 5.1 Mass Transfer, Correlation, ANN, and Neuro Fuzzy Modeling of Sub- and Supercritical Fluid Extraction Processes -- 5.2 Mass Transfer Model -- 5.3 ANN Modeling -- 5.4 Neuro Fuzzy Modeling -- 5.5 ANFIS and Gray-box Modeling of Anise Seeds -- 5.6 White Box SFE Modeling of Anise -- 5.6.1 Gray Box Parameters -- 5.6.2 ANFIS -- 5.6.2.1 Preprocessing -- 5.6.3 Gray Box -- 5.7 Results and Discussion -- 5.7.1 ANFIS -- 5.7.2 Gray Box Modeling Results -- 5.7.2.1 Black Box -- 5.7.3 Comparison of ANFIS and Gray Box Models with ANN and White Box Models -- 5.8 Introduction - Statistical versus ANN Modeling -- 5.9 Supercritical Carbon Dioxide Extraction of Q. infectoria Oil -- 5.9.1 Materials and Methods -- 5.9.2 Experimental Design -- 5.9.3 Artificial Neural Network Modeling -- 5.10 Subcritical Ethanol Extraction of Java Tea Oil -- 5.10.1 Artificial Neural Network Modeling -- 5.11 SFE of Oil from Passion Fruit Seed -- 5.11.1 Experimental Procedures -- 5.11.2 RSM Statistical Modeling -- 5.11.3 ANN Modeling of Passion Fruit Seed Oil Extraction with Supercritical Carbon Dioxide -- Chapter 6 Experimental Design Concept and Notes on Sample Preparation and SFE Experiments -- 6.1 Introduction -- 6.2 Experimental Design -- 6.3 Statistical Optimization -- 6.4 Optimization of Palm Oil Subcritical R134a Extraction -- 6.4.1 Effect of Temperature and Pressure -- 6.4.2 Model Fitting -- 6.4.3 Process Optimization. 6.5 Comparison of Subcritical R134a and Supercritical CO2 Extraction of Palm Oil -- 6.5.1 Extraction Performance -- 6.5.2 Economic Factor -- 6.6 Sample Pretreatment -- 6.6.1 Moisture Content Reduction -- 6.6.2 Sample Size Reduction -- 6.7 New Trends in Pretreatment -- 6.8 Optimal Pretreatment -- Chapter 7 Supercritical and Subcritical Optimization: Part I: First Principle Optimization -- 7.1 Introduction -- 7.2 Evaluation of Separation Performance -- 7.2.1 Effects of Temperature and Pressure -- 7.2.2 Effect of the Number of Stages -- 7.2.3 Effect of Solvent-to-Feed Ratio -- 7.2.4 Effect of Reflux Ratio -- 7.3 Parameter Optimization of Palm Oil Deacidification Process -- 7.3.1 Simple Countercurrent Extraction (Without Reflux) -- 7.3.2 Countercurrent Extraction with Reflux -- 7.4 Proposed Flowsheet for Palm Oil Refining Process -- 7.5 Conclusions -- Part II: ANN, GA Statistical Optimization -- 7.6 Introduction -- 7.7 Traditional Optimization -- 7.8 Nimbin Extraction Process Optimization -- 7.9 Genetic Algorithm for Mass Transfer Correlation Development -- 7.10 Optimizing Chamomile Extraction -- 7.11 Statistical and ANN Optimization -- 7.12 Conclusion -- Appendix A Calculation of the Composition for Palm Oil TG (Lim et al. 2003) -- Appendix B Calculation of Distribution Coefficient and Separation Factor (Lim et al. 2003) -- Appendix C Calculation of Palm Oil Solubility in Supercritical CO2 (Lim et al. 2003) -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830062303321 |
|
Manan Zainuddin Abdul
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| Hoboken, New Jersey : , : Wiley : , : American Institute of Chemical Engineers, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Natural extracts using supercritical carbon dioxide / Mamata Mukhopadhyay
| Natural extracts using supercritical carbon dioxide / Mamata Mukhopadhyay |
| Autore | Mukhopadhyay, Mamata |
| Pubbl/distr/stampa | Boca Raton : CRC Press, c2000 |
| Descrizione fisica | 339 p. ; 25 cm. |
| Disciplina | 660.284248 |
| Soggetto topico |
Ingegneria chimica - Estrazione
Diossido di carbonio |
| ISBN | 0-8493-0819-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNIBAS-000011882 |
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Mukhopadhyay, Mamata
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| Boca Raton : CRC Press, c2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
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Phase equilibria with supercritical carbon dioxide : application to the components of a biocatalytic process / / edited by Mercedes G. Montalbán, Gloria Víllora
| Phase equilibria with supercritical carbon dioxide : application to the components of a biocatalytic process / / edited by Mercedes G. Montalbán, Gloria Víllora |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2022 |
| Descrizione fisica | 1 online resource (74 pages) |
| Disciplina | 660.284248 |
| Soggetto topico |
Liquid carbon dioxide
Phase transformations (Statistical physics) Supercritical fluid extraction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of Contents -- OPEN ACCESS -- CHAPTERS 1. Supercritical Fluids: Properties and Applications By Mercedes G. Montalbán and Gloria Víllora 53 VIEW ABSTRACT -- 2. High-Pressure Fluid Phase Equilibria By Mercedes G. Montalbán and Gloria Víllora 17 VIEW ABSTRACT -- 3. Application of Supercritical Phase Equilibria to the Components of the Transesterification Reaction of rac-2-Pentanol with a Vinyl Ester By Mercedes G. Montalbán and Gloria Víllora 9 VIEW ABSTRACT. |
| Record Nr. | UNINA-9910688182703321 |
| London : , : IntechOpen, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Rare Metal Technology 2020 / / edited by Gisele Azimi, Kerstin Forsberg, Takanari Ouchi, Hojong Kim, Shafiq Alam, Alafara Abdullahi Baba
| Rare Metal Technology 2020 / / edited by Gisele Azimi, Kerstin Forsberg, Takanari Ouchi, Hojong Kim, Shafiq Alam, Alafara Abdullahi Baba |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 384 p. 178 illus., 121 illus. in color.) |
| Disciplina |
660.284248
661.041 |
| Collana | The Minerals, Metals & Materials Series |
| Soggetto topico |
Metals
Materials science Organometallic chemistry Engineering—Materials Metallic Materials Characterization and Evaluation of Materials Organometallic Chemistry Materials Engineering Metalls de terres rares Extracció (Química) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-36758-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910373892203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solid-phase microextraction and related techniques in bioanalysis / / Hiroyuki Kataoka, editor
| Solid-phase microextraction and related techniques in bioanalysis / / Hiroyuki Kataoka, editor |
| Pubbl/distr/stampa | Basel : , : MDPI, , [2023] |
| Descrizione fisica | 1 online resource |
| Disciplina | 660.284248 |
| Soggetto topico | Extraction (Chemistry) |
| ISBN | 3-0365-7046-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Editor vii -- Preface to "Solid-Phase Microextraction and Related Techniques in Bioanalysis" ix -- Hiroyuki Kataoka -- Solid-Phase Microextraction and Related Techniques in Bioanalysis -- Reprinted from: Molecules 2023, 28, 2467, doi:10.3390/molecules28062467 1 -- Yesenia Mendoza Garc´ıa, Ana Luiza Coeli Cruz Ramos, Ana Cardoso Clemente Filha Ferreira -- de Paula, Maicon Heitor do Nascimento, Rodinei Augusti and Raquel Linhares Bello de -- Ara ´ujo et al. -- Chemical Physical Characterization and Profile of Fruit Volatile Compounds from Different -- Accesses of Myrciaria floribunda (H. West Ex Wild.) O. Berg through Polyacrylate Fiber -- Reprinted from: Molecules 2021, 26, 5281, doi:10.3390/molecules26175281 5 -- Ana P. X. Mariano, Ana L. C. C. Ramos, Afonso H. de Oliveira J ´unior, Yesenia M. Garc´ıa, Ana -- C. C. F. F. de Paula and Mauro R. Silva et al. -- Optimization of Extraction Conditions and Characterization of Volatile Organic Compounds of -- Eugenia klotzschiana O. Berg Fruit Pulp -- Reprinted from: Molecules 2022, 27, 935, doi:10.3390/molecules27030935 19 -- Yuri G. Figueiredo, Eduardo A. Corr ˆea, Afonso H. de Oliveira Junior, Ana C. d. C. Mazzinghy, -- Henrique d. O. P. Mendon¸ca and Yan J. G. Lobo et al. -- Profile of Myracrodruon urundeuva Volatile Compounds Ease of Extraction and Biodegradability -- and In Silico Evaluation of Their Interactions with COX-1 and iNOS -- Reprinted from: Molecules 2022, 27, 1633, doi:10.3390/molecules27051633 33 -- Zhenying Liu, Ye Fang, Cui Wu, Xian Hai, Bo Xu and Zhuojun Li et al. -- The Difference of Volatile Compounds in Female and Male Buds of Herpetospermum -- pedunculosum Based on HS-SPME-GC-MS and Multivariate Statistical Analysis -- Reprinted from: Molecules 2022, 27, 1288, doi:10.3390/molecules27041288 53 -- Lijun Cai, Sarina Macfadyen, Baozhen Hua, Haochuan Zhang, Wei Xu and Yonglin Ren -- Identification of Biomarker Volatile Organic Compounds Released by Three Stored-Grain Insect -- Pests in Wheat -- Reprinted from: Molecules 2022, 27, 1963, doi:10.3390/molecules27061963 65 -- Qasim Ahmed, Manjree Agarwal, Ruaa Alobaidi, Haochuan Zhang and Yonglin Ren -- Response of Aphid Parasitoids to Volatile Organic Compounds from Undamaged and Infested -- Brassica oleracea with Myzus persicae -- Reprinted from: Molecules 2022, 27, 1522, doi:10.3390/molecules27051522 75 -- Keita Saito, Yoshiyuki Tokorodani, Chihiro Sakamoto and Hiroyuki Kataoka -- Headspace Solid-Phase Microextraction/Gas Chromatography-Mass Spectrometry for the -- Determination of 2-Nonenal and Its Application to Body Odor Analysis -- Reprinted from: Molecules 2021, 26, 5739, doi:10.3390/molecules26195739 89 -- Sehyun Kim and Sunyoung Bae -- In Vitro and In Vivo Human Body Odor Analysis Method Using GO:PANI/ZNRs/ZIF´8 -- Adsorbent Followed by GC/MS -- Reprinted from: Molecules 2022, 27, 4795, doi:10.3390/molecules27154795 99 -- Kamil Łuczykowski, Natalia Warmuzi ´nska, Sylwia Operacz, Iga Stryjak, Joanna -- Bogusiewicz and Julia Jacyna et al. -- Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer -- by SPME-LC-MS Method -- Reprinted from: Molecules 2021, 26, 2194, doi:10.3390/molecules26082194 113 -- Andrea Speltini, Francesca Merlo, Federica Maraschi, Giorgio Marrubini, Anna Faravelli and -- Antonella Profumo -- Magnetic Micro-Solid-Phase Extraction Using a Novel Carbon-Based Composite Coupled with -- HPLC-MS/MS for Steroid Multiclass Determination in Human Plasma -- Reprinted from: Molecules 2021, 26, 2061, doi:10.3390/molecules26072061 125 -- Hiroyuki Kataoka and Daiki Nakayama -- Online In-Tube Solid-Phase Microextraction Coupled with Liquid Chromatography-Tandem -- Mass Spectrometry for Automated Analysis of Four Sulfated Steroid Metabolites in Saliva -- Samples -- Reprinted from: Molecules 2022, 27, 3225, doi:10.3390/molecules27103225 141 -- Hiroyuki Kataoka, Sanae Kaji and Maki Moai -- Risk Assessment of Passive Smoking Based on Analysis of Hair Nicotine and Cotinine as -- Exposure Biomarkers by In-Tube Solid-Phase Microextraction Coupled On-Line to LC-MS/MS -- Reprinted from: Molecules 2021, 26, 7356, doi:10.3390/molecules26237356 153 -- Atsushi Ishizaki and Hiroyuki Kataoka -- Online In-Tube Solid-Phase Microextraction Coupled to Liquid Chromatography-Tandem -- Mass Spectrometry for the Determination of Tobacco-Specific Nitrosamines in Hair Samples -- Reprinted from: Molecules 2021, 26, 2056, doi:10.3390/molecules26072056 163 -- Yuping Zhang, Ning Wang, Zhenyu Lu, Na Chen, Chengxing Cui and Xinxin Chen -- Smart Titanium Wire Used for the Evaluation of Hydrophobic/Hydrophilic Interaction by -- In-Tube Solid Phase Microextraction -- Reprinted from: Molecules 2022, 27, 2353, doi:10.3390/molecules27072353 173. |
| Record Nr. | UNINA-9910683374403321 |
| Basel : , : MDPI, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solvent extraction [[electronic resource] ] : classical and novel approaches / / Vladimir S. Kislik
| Solvent extraction [[electronic resource] ] : classical and novel approaches / / Vladimir S. Kislik |
| Autore | Kislik Vladimir S |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam, : Elsevier, 2012 |
| Descrizione fisica | 1 online resource (573 p.) |
| Disciplina |
660.2
660.284248 |
| Soggetto topico | Solvent extraction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-58253-7
9786613612311 0-444-53779-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Conventional (classical) principles and practice of solvent extraction -- pt. 2. Novel competitive complexation/solvation theory (CCST) of solvent extraction : principles and practice -- pt. 3. Modern and future trends in fundamentals and applications of solvent extraction. |
| Record Nr. | UNINA-9910456715903321 |
|
Kislik Vladimir S
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| Amsterdam, : Elsevier, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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