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  • 1
    Online Resource
    Online Resource
    Newark :John Wiley & Sons, Incorporated,
    Keywords: Chromatographic analysis-Standards. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (435 pages)
    Edition: 1st ed.
    ISBN: 9783527814992
    Language: English
    Note: Cover -- Title Page -- Copyright -- Contents -- Foreword by George E. Keller, II -- Preface -- Software Selection and Copyright Notice -- Acknowledgments -- About the Authors -- List of Computer Files -- Chapter 1 Simulation of Adsorption Processes -- 1.1 Introduction to Gas‐phase Adsorption Technologies -- 1.2 Core Concepts in Gas Adsorption -- 1.2.1 The Adsorption Process -- 1.2.2 How the Driving Forces Achieve Separation -- 1.3 Isotherms -- 1.3.1 The Langmuir Isotherm (1918) -- 1.3.2 The Linear Isotherm -- 1.3.3 The Brunauer-Emmett-Teller (BET) Isotherm (1938) -- 1.3.4 The Freundlich Isotherm (1906) -- 1.3.5 The Sips (Langmuir-Freundlich) Isotherm (1948) -- 1.3.6 The Toth Isotherm (1971) -- 1.3.7 Summary -- 1.4 The Properties of Packed Beds -- 1.4.1 Void Fractions -- 1.4.2 External Voids -- 1.4.3 Internal Voids -- 1.4.4 Densities -- 1.4.4.1 Bulk Density -- 1.4.4.2 Skeletal or Solid Density -- 1.4.4.3 Envelope or Particle Density -- 1.4.4.4 Caveats -- 1.4.5 Relationships -- 1.4.6 Gas‐phase Behavior -- 1.4.6.1 Pressure Drop -- 1.4.6.2 Compressibility -- 1.5 PSA and TSA Implementation Details -- 1.5.1 Common Adsorbent Characteristics -- 1.5.2 Common Process Configurations -- 1.6 Introduction to Aspen Adsorption -- 1.7 PSA Workshop: Aspen Adsorption Modeling for Air Separation -- 1.7.1 Adding Components to an Aspen Adsorption Simulation -- 1.7.2 Creating a Flowsheet in Aspen Adsorption -- 1.7.3 Specifying Operating Conditions: Tables and Forms -- 1.7.4 Scheduling Events with the Cycle Organizer -- 1.7.5 Running an Aspen Simulation -- 1.7.6 Viewing and Exporting Simulation Results -- 1.8 PSA Workshop: Hydrogen Separation in Aspen Adsorption -- 1.8.1 Define the Components and Property Model -- 1.8.2 Creating a Flowsheet in Aspen Adsorption -- 1.8.3 Run a Breakthrough Simulation -- 1.8.4 Create the PSA Flowsheet. , 1.9 PSA Workshop: Modeling Hydrogen Separation using gCSS -- 1.9.1 Define the Components and Property Models -- 1.9.2 Working with Model Libraries: Advanced Flowsheet Options -- 1.9.3 Introduction to Scripting: Set Repeated Values and Initialize Blocks -- 1.9.4 Inspecting Blocks: Advanced Operating Conditions -- 1.9.5 Defining the Cycle Organizer -- 1.9.6 Viewing Results -- 1.10 TSA Workshop: Temperature Swing Adsorption for Air Drying -- 1.11 Conclusions -- 1.12 Practice Problems -- 1.12.1 Introducing a gas& -- uscore -- interaction Unit into Workshop 1 -- 1.12.2 Naphtha Upgrading Using Adsorption -- 1.13 Nomenclature -- Bibliography -- Books -- Journal Articles Specifically Utilizing Aspen Adsorption -- Journal Articles -- Chapter 2 Simulation of SMB Chromatographic Processes -- 2.1 Introduction to Chromatography -- 2.1.1 Mathematical Differences from Gas Adsorption -- 2.1.1.1 The Trace Liquid Assumption -- 2.1.1.2 Concentration Versus Partial Pressure -- 2.1.2 Thermodynamic Differences from Gas Adsorption -- 2.1.2.1 Isotherms -- 2.1.2.2 Physical Property Models -- 2.2 Introduction to SMB Chromatography -- 2.3 SMB Implementation Details -- 2.3.1 Common Process Configurations -- 2.3.2 M‐Values -- 2.3.3 Scale‐Up Concerns -- 2.3.4 Pressure Drop Limitations -- 2.3.5 Introduction to Operational Modes -- 2.4 SMB Workshop: Simulate a Four-Zone SMB in Aspen Chromatography for the Separation of Tröger's Base Enantiomers -- 2.4.1 Creating a Flowsheet in Aspen Chromatography -- 2.4.2 Adding Components to an Aspen Chromatography Simulation -- 2.4.3 The Chrom& -- uscore -- CCC& -- uscore -- separator2 Block -- 2.4.4 Viewing Results -- 2.5 Tandem SMB Workshop: Simulate a Separation with Dual SMB Columns -- 2.6 Practice Problems -- 2.6.1 Run Workshop 2.4 as a Steady‐State Simulation. , 2.6.2 Simulation of an Industrial‐Scale Xylene Separation Using Literature Data -- 2.6.3 Simulate a Five‐Zone SMB System for Separating Phenylalanine, Tryptophan, and Methionine -- Bibliography -- Books -- Journal Articles Specifically Utilizing Aspen Chromatography -- Journal Articles -- Chapter 3 Shortcut Design of SMB Systems -- 3.1 General Concepts -- 3.1.1 Mass Balances -- 3.1.2 Differential Equations -- 3.1.3 The Method of Characteristics -- 3.2 Triangle Theory -- 3.2.1 Notations -- 3.2.2 Introduction -- 3.2.3 Constraints on the System -- 3.3 Triangle Theory Workshop: Design of a System for the Separation of Amino Acids -- 3.4 Exercise 1: Calculating Transitions in a Fixed Bed Using Mathematica -- 3.4.1 Differential Equations - Analysis -- 3.4.2 Constructing the Solution from Eigenvectors and Eigenvalues -- 3.4.3 Use the Steady‐State Information to Constrain Operating Conditions -- 3.4.4 Calculate the Curves Defined by the Eigenvectors -- 3.4.5 Calculate the Eigenvalues along the Transition -- 3.4.6 Calculate the Concentrations in Time and Space -- 3.4.7 Account for Shock Waves -- 3.5 Exercise 2: Constructing the Constraints on the TMB System in Mathematica -- 3.6 Standing Wave Design -- 3.6.1 Standing Wave Design in a Nonlinear Ideal System -- 3.6.2 Standing Wave Design in a System with Nonlinear Isotherm and Significant Mass Transfer Effects -- 3.7 Standing Wave Design Workshop: Calculating the Operating Conditions for an Ideal and a Nonideal System -- 3.8 Conclusions -- 3.9 Practice Problems -- 3.9.1 Use the Triangle Theory Tool and the Standing Wave Design Tool to Create an Aspen Simulation of the Separation of 1‐phenol‐1‐propanol on Tribenzoate -- Bibliography -- Triangle Theory -- Standing Wave Design -- Chapter 4 Operational Modes of SMB Processes -- 4.1 Overview -- 4.2 Selection of Operational Modes -- 4.3 Varicol. , 4.3.1 Design Heuristics and Examples -- 4.3.2 Workshop 1: Apply Varicol to the 4‐Zone SMB Model -- 4.4 PowerFeed -- 4.4.1 Design Heuristics and Examples -- 4.4.2 Workshop 2: Apply PowerFeed to the Four‐Zone SMB Model -- 4.5 ModiCon -- 4.5.1 Design Heuristics and Examples -- 4.5.2 Workshop 3: Apply ModiCon to the 4‐Zone SMB Model -- 4.6 Combined Modes -- 4.6.1 Workshop 4: Extend Previously Created Flowsheets -- 4.7 Parallel Two Zones -- 4.7.1 Introduction to Parallel Two Zones -- 4.7.2 Specification Analysis -- 4.7.3 Importing Flowsheets -- 4.8 Conclusions -- 4.9 Practice Problems -- 4.9.1 Simulation of a Five‐Zone SMB Unit Using the ModiCon Operational Mode -- 4.9.2 Compare Parallel Two‐Zone Results with SMB Results -- Bibliography -- Chapter 5 Parameter Estimation, Regression, and Sensitivity of Adsorptive and Chromatographic Processes -- 5.1 Empirical Correlations for Physical Properties -- 5.1.1 Axial Dispersion Coefficient -- 5.1.2 Mass Transfer Coefficient -- 5.1.3 Caveats -- 5.2 Parameter Workshop: Regressing against Steady‐State Experiments -- 5.2.1 Introduction to "Experiments" In Aspen Software -- 5.2.2 Experimental Data -- 5.2.3 Parameter Regression in Excel -- 5.2.4 Parameter Regression in Aspen Chromatography -- 5.2.4.1 Defining an Estimation Flowsheet -- 5.2.4.2 Entering Experimental Data -- 5.2.4.3 Estimation Settings -- 5.2.4.4 Running an Estimation -- 5.2.5 Parameter Regression In Mathematica -- 5.2.5.1 Defining the Functions -- 5.2.5.2 Entering the Data -- 5.2.5.3 Regression -- 5.3 Parameter Workshop: Regressing Against Dynamic Experiments -- 5.3.1 Problem Description -- 5.3.2 Dynamic Estimation Settings -- 5.3.3 Performance Concerns -- 5.4 Xylene Parameter Regression -- 5.5 Conclusions -- 5.6 Practice Problems -- 5.6.1 Perform Dynamic Parameter Estimation in Aspen Adsorption. , 5.6.2 Sensitivity Analysis Using Scripts in Aspen Adsorption -- Bibliography -- Literature Cited in the Text -- Index -- EULA.
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  • 2
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Experimental Cell Research 208 (1993), S. 479-484 
    ISSN: 0014-4827
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Fermentation and Bioengineering 78 (1994), S. 437-442 
    ISSN: 0922-338X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 160 data points
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  • 5
    Publication Date: 2024-04-29
    Keywords: Achnanthes minutissima; Achnanthes spp.; Actinocyclus curvatulus; Actinocyclus spp.; Age model; Amphora ovalis; Amphora spp.; Bacillaria paxillifer; Bacterosira bathyomphala; Berkeleya rutilans; Climate Change: Learning from the past climate; Cocconeis costata; Cocconeis disculus; Cocconeis scutellum; Cocconeis spp.; Coscinodiscus spp.; Cymbella spp.; DA06-139G; DEPTH, sediment/rock; Detonula confervacea; Diploneis litoralis var. clathrata; Diploneis spp.; Fallacia spp.; Fossula arctica; Fragilaria spp.; Fragilariopsis cylindrus; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; GC; Gomphonema exiguum var. minutissimum; Gomphonema spp.; Grammatophora angulosa; Gravity corer; Gyrosigma spp.; Hantzschia spp.; Navicula kariana var. frigida; Navicula spp.; Neodenticula seminae; Nitzschia spp.; Number; Odontella aurita; Paralia sulcata; Past4Future; Pauliella taeniata; Pleurosigma spp.; Rhabdonema arcuatum; Rhizosolenia borealis; Rhizosolenia hebetata forma semispina; Rhizosolenia spp.; Rhoicosphenia spp.; Tabularia spp.; Tabularia tabulata; Thalassionema nitzschioides; Thalassiosira anguste-lineata; Thalassiosira antarctica; Thalassiosira antarctica var. borealis; Thalassiosira bulbosa; Thalassiosira constricta; Thalassiosira hyalina; Thalassiosira nordenskioeldii; Thalassiosira oestrupii; Thalassiosira pacifica; Thalassiosira spp.; Thalassiothrix longissima; Vaigat Strait, West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 5310 data points
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  • 6
    Publication Date: 2024-04-29
    Keywords: Age model; Climate Change: Learning from the past climate; DA06-139G; DEPTH, sediment/rock; GC; Gravity corer; Ice coverage; Number; Past4Future; Vaigat Strait, West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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  • 7
    Publication Date: 2019-07-17
    Description: Part of the abstract: The Michelson Interferometer for Passive AtmosphericSounding (MIPAS), on-board the European ENVIronmentalSATellite (ENVISAT) launched on 1 March 2002,is a middle infrared Fourier Transform spectrometer measuringthe atmospheric emission spectrum in limb sounding geometry.The instrument is capable to retrieve the vertical distributionMIPAS data were re-processed by ESA using updated versions ofthe Instrument Processing Facility (IPF v4.61 and v4.62) andprovided a complete set of level-2 operational products (geolocatedvertical profiles of temperature and volume mixingratio of H2O, O3, HNO3, CH4, N2O and NO2). MIPAS operated in its standard observation mode for approximately two years, from July 2002 to March 2004. MIPAS data were re-processed by ESA using updated versions of the Instrument Processing Facility (IPF v4.61 and v4.62) and provided a complete set of level-2 operational products (geolocated vertical profiles of temperature and volume mixing ratio of H2O, O3, HNO3, CH4, N2O and NO2). MIPAS operated in its standard observation mode from July 2002 to March 2004, covering the altitude range from the mesosphere to the upper troposphere with relatively high vertical resolution (about 3 km in the stratosphere). In this paper, we report a detailed description of the validation of MIPAS-ENVISAT operational ozone data, that was based on the comparison between MIPAS v4.61 (and, to a lesser extent, v4.62) O3 VMR profilesand a comprehensive set of correlative data, including observations from ozone sondes, ground-based lidar, FTIR and microwave radiometers, remote-sensing and in situ instruments on-board stratospheric aircraft and balloons, concurrent satellite sensors and ozone fields assimilated by theEuropean Center for Medium-range Weather Forecasting. A clear indication of the validity of MIPAS O3 vertical profiles is obtained for most of the stratosphere, where the mean relative difference with the individual correlative data sets is always lower than ±10%. Furthermore, these differences always fall within the combined systematic error (from1 hPa to 50 hPa) and the standard deviation is fully consistent with the random error of the comparison (from 1 hPa to 3040 hPa).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 8
    Publication Date: 2019-09-10
    Description: Microalgae are capable of acclimating to dynamic light environments, as they have developed mechanisms to optimize light harvesting and photosynthetic electron transport. When absorption of light exceeds photosynthetic capacity, various physiological protective mechanisms prevent damage of the photosynthetic apparatus. Xanthophyll pigments provide one of the most important photoprotective mechanisms to dissipate the excess light energy and prevent photoinhibition. In this study, we coupled a mechanistic model for phytoplankton photoinhibition with the global biogeochemical model Regulated Ecosystem Model version 2. The assumption that photoinhibition is small in phytoplankton communities acclimated to ambient light allowed us to predict the photoprotective needs of phytoplankton. When comparing the predicted photoprotective needs to observations of pigment content determined by high‐performance liquid chromatography, our results showed that photoprotective response seems to be mediated in most parts of the ocean by a variable ratio of xanthophyll pigments to chlorophyll. The variability in the ratio appeared to be mainly driven by changes in phytoplankton community composition. Exceptions appeared at high latitudes where other energy dissipating mechanisms seem to play a role in photoprotection and both taxonomic changes and physiological acclimation determine community pigment signature. Understanding the variability of community pigment signature is crucial for modeling the coupling of light absorption to carbon fixation in the ocean. Insights about how much of this variability is attributable to changes in community composition may allow us to improve the match between remotely sensed optical data and the underlying phytoplankton community.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 9
    Publication Date: 2021-05-19
    Description: The intestinal bacterial diversity of Stichopus japonicus was investigated using 16S ribosomal RNA gene (rDNA) clone library and Polymerase Chain Reaction/Denaturing Gradient Gel Electrophoresis (PCR-DGGE). The clone library yielded a total of 188 clones, and these were sequenced and classified into 106 operational taxonomic units (OTUs) with sequence similarity ranging from 88 to 100%. The coverage of the library was 77.4%, with approximately 88.7% of the sequences affiliated to Proteobacteria. Gammaproteobacteria and Vibrio sp. were the predominant groups in the intestine of S. japonicus. Some bacteria such as Legionella sp., Brachybacterium sp., Streptomyces sp., Propionigenium sp. and Psychrobacter sp were first identified in the intestine of sea cucumber.
    Description: Published
    Keywords: Biology ; Physiology ; Proteobacteria ; Gammaproteobacteria ; Vibrio sp. ; Intestinal bacterial diversity ; 16S rDNA ; PCR-DGGE ; Sequencing ; Stichopus japonicus
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp.318-325
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  • 10
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    In:  http://aquaticcommons.org/id/eprint/23071 | 18721 | 2018-06-17 18:55:36 | 23071 | Iranian Fisheries Science Research Institute
    Publication Date: 2021-07-12
    Description: The intestinal bacterial diversity of Stichopus japonicus was investigated using 16S ribosomal RNA gene (rDNA) clone library and Polymerase Chain Reaction/Denaturing Gradient Gel Electrophoresis (PCR-DGGE). The clone library yielded a total of 188 clones, and these were sequenced and classified into 106 operational taxonomic units (OTUs) with sequence similarity ranging from 88 to 100%. The coverage of the library was 77.4%, with approximately 88.7% of the sequences affiliated to Proteobacteria. Gammaproteobacteria and Vibrio sp. were the predominant groups in the intestine of S. japonicus. Some bacteria such as Legionella sp., Brachybacterium sp., Streptomyces sp., Propionigenium sp. and Psychrobacter sp were first identified in the intestine of sea cucumber.
    Keywords: Biology ; Fisheries ; Intestinal bacterial diversity ; 16S rDNA ; PCR-DGGE ; Sequencing ; Stichopus japonicus ; Biology ; physiology ; China
    Repository Name: AquaDocs
    Type: article , TRUE
    Format: application/pdf
    Format: application/pdf
    Format: 318-325
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