A 10-15 minute presentation on my research conducted in the chemistry department of Drexel University for students interested in participating in undergraduate research.
Jean-Claude Bradley presents on Open Notebook Science: Transparency in Research on October 23, 2012 at Georgia Tech for Open Access Week. Topics include solubility, melting points, a recrystallization app, the Chemical Information Retrieval class at Drexel University and the Open Chemical Property Matrix (OCPM). YouTube recording here: http://youtu.be/XpRyfdNuMrQ
The use of non-aqueous solubility to control reaction outcomesJean-Claude Bradley
Β
Evan Curtin from the Bradley Research Group at Drexel University presented a poster at the Research Day for the College of Arts and Sciences on April 5, 2011. The project involves the synthesis of aromatic imines and the measurement of their solubility to select an optimal solvent for their formation.
Drexel College of Arts and Sciences (COAS) Research Day 2013mcbridemj
Β
A presentation of my research involving using organic solubility predictions to optimize the process of choosing a recrystallization solvent. This research was conducted using Open Notebook Science to promote the sharing and access of the results and findings. This presentation was given as a 10 minute oral presentation for the 2013 COAS research day at Drexel University on April 9, 2013.
Jean-Claude Bradley presents on Open Notebook Science: Transparency in Research on October 23, 2012 at Georgia Tech for Open Access Week. Topics include solubility, melting points, a recrystallization app, the Chemical Information Retrieval class at Drexel University and the Open Chemical Property Matrix (OCPM). YouTube recording here: http://youtu.be/XpRyfdNuMrQ
The use of non-aqueous solubility to control reaction outcomesJean-Claude Bradley
Β
Evan Curtin from the Bradley Research Group at Drexel University presented a poster at the Research Day for the College of Arts and Sciences on April 5, 2011. The project involves the synthesis of aromatic imines and the measurement of their solubility to select an optimal solvent for their formation.
Drexel College of Arts and Sciences (COAS) Research Day 2013mcbridemj
Β
A presentation of my research involving using organic solubility predictions to optimize the process of choosing a recrystallization solvent. This research was conducted using Open Notebook Science to promote the sharing and access of the results and findings. This presentation was given as a 10 minute oral presentation for the 2013 COAS research day at Drexel University on April 9, 2013.
Demonstration of the Formation of the Caffeine-Dichloromethane-water Emulsion...IJAEMSJORNAL
Β
Researchers have been concerned with the subsequent study of caffeine extraction. The objective of this article was to demonstrate how the caffeine-dichloromethane-water emulsion is formed. We use the theory of the electron transfer coefficient (ETC) as the cornerstone of our research. All the simulations of the interactions of the substances involved were calculated with the hyperchem simulator. The emulsion is formed because the ETC = 36,196 of the caffeine-CH2Cl2 interaction is the lowest of the cross-band interactions of the mixture. It will expect massive amounts of caffeine emulsified with CH2Cl2 and water. In conclusion, the gravitational well and the quantum well of caffeine coincide in being the lowest of all the wells calculated. It means that both CH2Cl2 and H2O will not destroy caffeine. That is, caffeine will be kept as a pure substance even after extraction with these two solvents. Although CH2Cl2 extracts more caffeine, due to its low ETC, the product for human consumption can be contaminated.
Determination of the order of reaction between potassium persulphate & potass...PRAVIN SINGARE
Β
This presentation is based on the experimental demonstration of "Determination of the order of reaction between potassium persulphate & potassium iodide by fractional change method". The presentation is for chemistry Undergraduate student of Mumbai University.
Open Notebook Science talk at the 2012 ACS mcbridemj
Β
Video of this presentation can be found here: http://www.youtube.com/watch?v=-rNGkmNTdLc. This talk was given as an oral presentation at the ACS 244th National Meeting held in Philadelphia, PA on August 20, 2012. This talk examined the advantages of being an undergraduate student in a research group using Open Notebook Science. Additionally, this talk examined how to use solubility tools to choose a recrystallization solvent and to plan a reaction synthesis.
Jean-Claude Bradley presents at the University of Delaware Tuesday Tech Talks on February 12, 2013. The aim is to make a compelling case that openness is valuable to the educational process and augmenting scientific knowledge. Specific examples in chemistry relating to solubility, melting point and recrystallization will be detailed, as well as the technical solutions that have proved most useful.
The purpose of this webinar is to highlight GSK's approach to:
- create a simple, mechanistically descriptive model
- verify its utility with clarity of objectives, and
- communicate understanding via creative but aligned metrics
... for a challenging chemical reaction.
Experiment #3a Aluminum Content via REDOX Reaction Ob.docxgreg1eden90113
Β
Experiment #3a: Aluminum Content via REDOX
Reaction
Objective
To determine the aluminum content in commercial samples through stoichiometry and a standard curve of the volume of
hydrogen gas produced versus the mass of aluminum consumed.
Introduction
Stoichiometry
Reaction stoichiometry is the numerical relationships between chemical amounts in a balanced chemical equation. Using
stoichiometry allows us to predict the amounts of products that will form or amounts of reactants that will be consumed
during a chemical reaction. In order to use stoichiometry to predict such amounts, the chemical equation must be balanced.
As an example, letβs look at the following chemical equation:
π΄ + β π΄2π΅3
It should be fairly obvious that the above equation is NOT balanced. In order to balance this equation, we need to look at
the relative numbers of substances (A & B) on both sides of the equation. On the left hand side (reactants side), we have
one A and one B. On the right hand side (products side), we have two A (from A2) and three B (from B3). We must have
equal relative amounts on both sides. This one is rather simple to solve. Using coefficients (NOT subscripts), we can produce:
2π΄ + 3 β π΄2π΅3
This equation is now balanced.
Balanced equations can be used to calculate the amount of reactants used or the amount of products formed in
a chemical reaction. For example, using the balanced reaction below,
πΆ2π»4 + 3π2 β 2πΆπ2 + 2π»2π
the amount of CO2 produced can be calculated when 40.0 grams of C2H4 is reacted with excess O2 (excess means
that there is more than enough O2 for the reaction to go to completion). For such a calculation, we can use the
following general process:
The first step is to convert 40.0 grams of C2H4 into moles of C2H4 using the molar mass (28.05 g/mol). This can be
grams C2H4 moles C2H4 moles CO2 grams CO2
done using the factor-label method:
40.0 π πΆ2π»4 Γ
1 πππ πΆ2π»4
28.05 π πΆ2π»4
= 1.43 πππ πΆ2π»4
Next, using the balanced chemical equation, determine the number of moles of CO2 produced when
1.43 moles of C2H4 are consumed:
1.426 πππ πΆ2π»4 Γ
2 πππ πΆπ2
1 πππ πΆ2π»4
= 2.86 πππ πΆπ2
The last step is to convert 2.86 moles of CO2 into grams of CO2 using the molar mass (44.01 g/mol):
2.86 πππ πΆπ2 Γ
44.01 π πΆπ2
1 πππ πΆπ2
= 125.9 π πΆπ2
Alternatively, the entire process can be done at one time:
40.0 π πΆ2π»4 Γ
1 πππ πΆ2π»4
28.05 π πΆ2π»4
Γ
2 πππ πΆπ2
1 πππ πΆ2π»4
Γ
44.01 π πΆπ2
1 πππ πΆπ2
= 125.9 π πΆπ2
This process can also be used in conjunction with the ideal gas law to convert from volume of gas of one of the products
into the amount of mass of the reactant needed. For example, the mass of C2H4 used to form 2.00 L of CO2 can be
determined at a pressure of 1.00 atm and a temperature of 293 K. First, the number of moles of CO2 must be cal
http://finishedexams.com/Chemistry.php
Immediate access to solutions for ENTIRE COURSES, FINAL EXAMS and HOMEWORKS βRATED A+" - Without Registration!
Jean-Claude Bradley (Drexel University), Matthew McBride (Drexel University) and Andrew Lang (Oral Roberts University) presented at the White House Open Science Poster Session on June 20, 2013. Open Notebook Science examples of melting point, solubility and recrystallization Open Data and Open Modeling were presented.
Jean-Claude Bradley presents the introductory lecture for Chemical Information Retrieval at Drexel University for Fall 2011 on September 23, 2011. Examples are given to demonstrate how difficult it can be to find and assess chemical information such as melting points. An overview of the class wiki is then given
Demonstration of the Formation of the Caffeine-Dichloromethane-water Emulsion...IJAEMSJORNAL
Β
Researchers have been concerned with the subsequent study of caffeine extraction. The objective of this article was to demonstrate how the caffeine-dichloromethane-water emulsion is formed. We use the theory of the electron transfer coefficient (ETC) as the cornerstone of our research. All the simulations of the interactions of the substances involved were calculated with the hyperchem simulator. The emulsion is formed because the ETC = 36,196 of the caffeine-CH2Cl2 interaction is the lowest of the cross-band interactions of the mixture. It will expect massive amounts of caffeine emulsified with CH2Cl2 and water. In conclusion, the gravitational well and the quantum well of caffeine coincide in being the lowest of all the wells calculated. It means that both CH2Cl2 and H2O will not destroy caffeine. That is, caffeine will be kept as a pure substance even after extraction with these two solvents. Although CH2Cl2 extracts more caffeine, due to its low ETC, the product for human consumption can be contaminated.
Determination of the order of reaction between potassium persulphate & potass...PRAVIN SINGARE
Β
This presentation is based on the experimental demonstration of "Determination of the order of reaction between potassium persulphate & potassium iodide by fractional change method". The presentation is for chemistry Undergraduate student of Mumbai University.
Open Notebook Science talk at the 2012 ACS mcbridemj
Β
Video of this presentation can be found here: http://www.youtube.com/watch?v=-rNGkmNTdLc. This talk was given as an oral presentation at the ACS 244th National Meeting held in Philadelphia, PA on August 20, 2012. This talk examined the advantages of being an undergraduate student in a research group using Open Notebook Science. Additionally, this talk examined how to use solubility tools to choose a recrystallization solvent and to plan a reaction synthesis.
Jean-Claude Bradley presents at the University of Delaware Tuesday Tech Talks on February 12, 2013. The aim is to make a compelling case that openness is valuable to the educational process and augmenting scientific knowledge. Specific examples in chemistry relating to solubility, melting point and recrystallization will be detailed, as well as the technical solutions that have proved most useful.
The purpose of this webinar is to highlight GSK's approach to:
- create a simple, mechanistically descriptive model
- verify its utility with clarity of objectives, and
- communicate understanding via creative but aligned metrics
... for a challenging chemical reaction.
Experiment #3a Aluminum Content via REDOX Reaction Ob.docxgreg1eden90113
Β
Experiment #3a: Aluminum Content via REDOX
Reaction
Objective
To determine the aluminum content in commercial samples through stoichiometry and a standard curve of the volume of
hydrogen gas produced versus the mass of aluminum consumed.
Introduction
Stoichiometry
Reaction stoichiometry is the numerical relationships between chemical amounts in a balanced chemical equation. Using
stoichiometry allows us to predict the amounts of products that will form or amounts of reactants that will be consumed
during a chemical reaction. In order to use stoichiometry to predict such amounts, the chemical equation must be balanced.
As an example, letβs look at the following chemical equation:
π΄ + β π΄2π΅3
It should be fairly obvious that the above equation is NOT balanced. In order to balance this equation, we need to look at
the relative numbers of substances (A & B) on both sides of the equation. On the left hand side (reactants side), we have
one A and one B. On the right hand side (products side), we have two A (from A2) and three B (from B3). We must have
equal relative amounts on both sides. This one is rather simple to solve. Using coefficients (NOT subscripts), we can produce:
2π΄ + 3 β π΄2π΅3
This equation is now balanced.
Balanced equations can be used to calculate the amount of reactants used or the amount of products formed in
a chemical reaction. For example, using the balanced reaction below,
πΆ2π»4 + 3π2 β 2πΆπ2 + 2π»2π
the amount of CO2 produced can be calculated when 40.0 grams of C2H4 is reacted with excess O2 (excess means
that there is more than enough O2 for the reaction to go to completion). For such a calculation, we can use the
following general process:
The first step is to convert 40.0 grams of C2H4 into moles of C2H4 using the molar mass (28.05 g/mol). This can be
grams C2H4 moles C2H4 moles CO2 grams CO2
done using the factor-label method:
40.0 π πΆ2π»4 Γ
1 πππ πΆ2π»4
28.05 π πΆ2π»4
= 1.43 πππ πΆ2π»4
Next, using the balanced chemical equation, determine the number of moles of CO2 produced when
1.43 moles of C2H4 are consumed:
1.426 πππ πΆ2π»4 Γ
2 πππ πΆπ2
1 πππ πΆ2π»4
= 2.86 πππ πΆπ2
The last step is to convert 2.86 moles of CO2 into grams of CO2 using the molar mass (44.01 g/mol):
2.86 πππ πΆπ2 Γ
44.01 π πΆπ2
1 πππ πΆπ2
= 125.9 π πΆπ2
Alternatively, the entire process can be done at one time:
40.0 π πΆ2π»4 Γ
1 πππ πΆ2π»4
28.05 π πΆ2π»4
Γ
2 πππ πΆπ2
1 πππ πΆ2π»4
Γ
44.01 π πΆπ2
1 πππ πΆπ2
= 125.9 π πΆπ2
This process can also be used in conjunction with the ideal gas law to convert from volume of gas of one of the products
into the amount of mass of the reactant needed. For example, the mass of C2H4 used to form 2.00 L of CO2 can be
determined at a pressure of 1.00 atm and a temperature of 293 K. First, the number of moles of CO2 must be cal
http://finishedexams.com/Chemistry.php
Immediate access to solutions for ENTIRE COURSES, FINAL EXAMS and HOMEWORKS βRATED A+" - Without Registration!
Jean-Claude Bradley (Drexel University), Matthew McBride (Drexel University) and Andrew Lang (Oral Roberts University) presented at the White House Open Science Poster Session on June 20, 2013. Open Notebook Science examples of melting point, solubility and recrystallization Open Data and Open Modeling were presented.
Jean-Claude Bradley presents the introductory lecture for Chemical Information Retrieval at Drexel University for Fall 2011 on September 23, 2011. Examples are given to demonstrate how difficult it can be to find and assess chemical information such as melting points. An overview of the class wiki is then given
Development of Dynamic Models for a Reactive Packed Distillation ColumnCSCJournals
Β
This work has been carried out to develop dynamic models for a reactive packed distillation column using the production of ethyl acetate as the case study. The experimental setup for the production of ethyl acetate was a pilot scale packed column divided into condenser, rectification, acetic acid feed, reaction, ethanol feed, stripping and reboiler sections. The reaction section was filled with Amberlyst 15 catalyst while the rectification and the stripping sections were both filled raschig rings. The theoretical models for each of the sections of the column were developed from first principles and solved with the aid of MATLAB R2011a. Comparisons were made between the experimental and theoretical results by calculating the percentage residuals for the top and bottom segment temperatures of the column. The results obtained showed that there were good agreements between the experimental and theoretical top and bottom segment temperatures because the calculated percentage residuals were small. Therefore, the developed dynamic models can be used to represent the reactive packed distillation column.
Solvent free synthesis of malonyl chlorides a green chemistry approacheSAT Journals
Β
Abstract Methyl malonyl chloride and ethyl malonyl chloride are the acid chlorides of malonic acid diester. The present study focuses on the study of the synthesis of monomethyl malonyl chloride and monoethyl malonyl chloride. The synthesis was a three step process of selective saponification of dialkyl malonate followed by hydrolysis and then chlorination of monoalkyl malonic acid. The reaction was studied in the presence of solvent and absence of solvent (which is methylene chloride). Kinetics of the process was studied. Reaction was found to be first order by integrated rate law. The green process was evaluated with maximum conversion. The conversion of methyl malonic acid in solvent process was found to be 78.67% and in without solvent process was found to be 93.08% from the experiments carried out. The conversion of ethyl malonic acid in solvent process was found to be 84.39% and in without solvent process was found to be 98.23% from the experiments carried out. Keywords: Green chemistry, methyl malonyl chloride, ethyl malonyl chloride, malonic acid.
Study on the Most Efficient Method, for Chemistry Laboratories, on the Recove...QUESTJOURNAL
Β
ABSTRACT: Waste management and treatment programs are increasingly relevant, taking into account the global scenario. However, the use of the concept of 3R (Reduction, Reuse and Recycling) still needs to be implemented in university labs. The use of this concept can avoid environmental contamination and thus promote operator and community safety. In this perspective, the present work intends to define an adequate methodology for the reuse of N-heptane used in petroleum analyzes. Methodologies will be compared using rotary evaporator and fractional distillation. The treated residues contained crude oil and n-Heptane, being recovered by fractional distillation under two conditions. In condition 1 a column 80.0 cm long and 6.0 cm in diameter was filled with glass rings and in condition 2 with Raschig rings in stainless steel. The second methodology used a conventional rotary evaporator. The analyzed responses were: the total time of the process, the recovered percentage of n-Heptane and its degree of purity, evaluated by gas chromatography. This study allowed to demonstrate the most appropriate methodology for the treatment of this residue and the economic advantages resulting from the effluent minimization.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
Β
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
Β
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Β
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
Β
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Β
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Β
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Β
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
Β
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more βmechanicalβ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
Β
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
Β
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Β
Building better applications for business users with SAP Fiori.
β’ What is SAP Fiori and why it matters to you
β’ How a better user experience drives measurable business benefits
β’ How to get started with SAP Fiori today
β’ How SAP Fiori elements accelerates application development
β’ How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
β’ How SAP Fiori paves the way for using AI in SAP apps
Enhancing Performance with Globus and the Science DMZGlobus
Β
ESnet has led the way in helping national facilitiesβand many other institutions in the research communityβconfigure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
By Design, not by Accident - Agile Venture Bolzano 2024
Β
Drexel University Researcher's Report
1. Using the Abraham Model to
Predict Organic Solubility to
Determine a
Recrystallization Solvent
Researchersβ Report
January 16, 2013
Matthew McBride
Undergraduate Chemistry Major
Drexel University
Bradley Research Group
2. Advantages of OpenNotebook
Science for Undergraduate
Research
Gain organization skills and learn how
to properly present experiments
Receive timely feedback and corrective
input
Documentation of a studentβs
contribution to a project
3. Organization and Presentation
Updating the log the day the experiment is performed
requires a student to keep an organized record of the
lab work
Eliminates long term reliance on handwritten notes
and allows the log to be recorded when the
experiment is still fresh in the studentβs memory
(http://onschallenge.wikispaces.com/EXP324)
5. Correction and Input
Using ONS allows the student to receive needed
advice and guidance from the mentor directly on the
experimentβs page
Allows the student to understand where an error was
made and how to avoid repeating the mistake
(http://onschallenge.wikispaces.com/EXP255)
(http://onschallenge.wikispaces.com/EXP229)
6. Documentation
Allows a studentβs work and contribution to a project
to be documented
Provides graduate schools with the ability to view
exactly what research an applicant has conducted
(http://onschallenge.wikispaces.com/list+of+experiments)
7. Solubility
Important when choosing a
recrystallization solvent
Accurate solubility predictions for a
compound allows the optimal solvent to
be used
8. Preferred Solvent
Characteristics
Does not react with the compound
being recrystallized
High solubility at boiling point, but low
solubility at room temperature
A boiling point that allows for easy
drying of the product
Miscibility with water
9. Predicting Solubility with
Abraham Descriptors
Five descriptors for each solute and each solvent
The descriptors for over 80 solvents, including some
ethanol/water mixtures, are known
Descriptors for a solute can be experimentally
determined by measuring the solubility in 5 solvents
Descriptors for a solute can be predicted using AD
Model003
Using the solute descriptors, the solubility in any of
the solvents with known descriptors can be predicted
[William Acree](http://onschallenge.wikispaces.com/Benzoic+acid+-+Abraham)
10. Solubility Predictions
Using ONS Webservices, can list the predicted
solubility for a compound
Trans-dibenzalacetone
(http://showme.physics.drexel.edu/onsc/models/solventselector.php?csids=555548)
Solvent Model003
(M)
AD Measured
(M)
Experimental
(M)
BP
(Β°C)
(www.chemspider.com/55
5548)
[Andrew Lang]
11. Solubility Curves
Using a melting point, temperature dependent
solubility curves are generated
Assumes that at the melting point the compound is
miscible with the solvent
Solubility in Ethanol (Concentration M vs. Temperature Β°C)
(http://showme.physics.drexel.edu/onsc/models/solventselector.php?csids=555548)[Andrew Lang]
12. Temperature Controlled Shake
Flask Method
Add solute to the vials with the solvent and allow to
shake in the 25Β°C water bath
(http://onschallenge.wikispaces.com/e
xp324)
13. Temperature Controlled Shake
Flask Method
Measure the solubility using HNMR
Need to take two consecutive measurements without
the solubility changing to confirm the solution is
saturated
(http://onschallenge.wikispaces.com/EXP311)
14. Measuring Solubility with NMR
Compare integration of solute and solvent peaks in
saturated solutions using google app scripts
1.5M Saturated solution of dibenzalacetone in THF
Dibenzalacetone
THF
(http://onschallenge.wikispaces.com/EXP308)
[Andrew Lang]
15. Benefits of Solubility
Curves
These temperature dependent solubility
curves allow a solvent with the greatest
difference between solubility at room
temperature and at the boiling point to
be used
Reduces reliance on only recrystallizing
in solvents listed in literature
Optimizes the process of choosing a
recrystallization solvent
[Andrew Lang]
16. Example
The solvents used to recrystallize compounds in
organic teaching labs can be improved
Trans-dibenzalacetone
Aldol condensation between two molecules of
benzaldehyde and one molecule of acetone
(http://showme.physics.drexel.edu/onsc/reactionattempts/advancedsearch.php?compound=&solvent=&reactiontype
=&researcher=Matthew+McBride)
[Andrew Lang]
18. Organic Teaching Labs
Many recrystallize in ethyl acetate
Is there a different solvent that could be used?
(http://classes.kvcc.edu/chm230/MIXED%20ALDOL%20CONDENSATION.pdf)
(http://www.xula.edu/chemistry/documents/orgleclab/Aldol_notes.pdf)
19. SmartPhone App
This app predicts the recrystallization yields of any
compound in different solvents using the solubility
curves:
Provides experimental and predicted values for
melting point and LogP
[Andrew Lang]
(http://onschallenge.wikispaces.com/recrystallization)
20. SmartPhone App
Enter compound identification
(SMILES, CSID, nameβ¦etc), and desired
parameters
(http://onschallenge.wikispaces.com/rec
ation)
[Andrew Lang]
21. SmartPhone App
Lists solvents and their predicted recrystallization
yield
Prediction is generated by the temperature
(http://onschallenge.wikispaces.com/recrystalliz
ation)
[Andrew Lang]
22. Comparison
Ethyl acetate (predicted yield of 69%) vs ethanol
(predicted yield of 91%)
Ethyl acetate
Ethanol
0.09M
1.1M
0.62M
2.06M
(http://showme.physics.drexel.edu/onsc/m
odels/solventselector.php?csids=555548)
[Andrew Lang]
23. Solubility at Boiling
Cannot be too low or an impractical
recrystallization solvent
Developing a novel recrystallization method
using 1-octanol (boiling point: 195Β°C) and
then washing with pentane (boiling point:
35Β°C)
The ability to heat 1-octanol to higher
temperatures increases the yield of the
recrystallization
24. Designing reactions using
solubility
These solubility tools can be used to
choose a solvent for a reaction
Finding a solvent in which the reactants
are soluble, but the product is insoluble.
This allows the product to be recovered
by a simple filtration
25. Example
Derivatives of dibenzalacetone may be synthesized
by altering the aldehyde used
From a library of derivatives, the following compound
was the top hit for the docking site of Taxol
Uses phenanthrene-9-carboxaldehyde
(http://usefulchem.wikispaces.com/D-EXP022)
(http://www.chemspider.com/28190813)
[Andrew Lang]
27. Synthesis Planning
Desire a solvent that the aldehyde is soluble
in, but the product is not
The product was predicted as having very low
solubility (<0.000M) in all solvents
NaOH used as the catalyst, so needs to be
soluble in the solvent
(http://showme.physics.drexel.edu/onsc/models/solventselector.php?csids=281908
13) [Andrew Lang]
28. Synthesis Planning
NaOH is soluble in methanol, so check aldehyde
solubility
Phenanthrene-9-carboxaldehyde
Solvent
Model003
(M)
AD Measured
(M)
Experimental
(M)
BP
(Β°C)
(http://showme.physics.drexel.edu/onsc/models/solventselector.php?csids=70806)
(http://www.chemspider.com/708
06)
[Andrew Lang]
29. Synthesis Planning
Conclusion: Using methanol as the
reaction solvent should allow the
aldehyde be dissolved into solution, but
will cause the product to precipitate
30. Synthesis
Created an approximately 0.016M
solution of phenanthrene-9-
carboxaldehyde in methanol
Added acetone and then a large excess
of NaOH (catalyst) to the reaction
mixture
Stirred mixture without heat over two
days
(http://usefulchem.wikispaces.com/EXP286)
35. Summary
Open Notebook Science provides
advantages to an undergraduate
researcher
Measured and predicted solubilities can
be used to optimize recrystallizations
Predicted solubilities can be used to
plan the synthesis and optimize the
recovery of the product
http://lxsrv7.oru.edu/~alang/solubility/soltemp.php?csids=555548&cs=0.092&solvent=ethanol&solmp=-114.1&solbp=78.2&limreact=0.3&limprod=0.03http://onschallenge.wikispaces.com/AbrahamDescriptorsModel003Donβt use an ethanol/water mixture, use another solvent Assumption of model: At melting point, solute is micible with solvent
Mention NMR method
Link to recrystallization page and webservices
http://lxsrv7.oru.edu/~alang/solubility/soltemp.php?csids=555548&cs=.624&solvent=ethyl%20acetate&solmp=-83.6&solbp=73.9&limreact=0.3&limprod=0.03State from bp to rtWrite sol at 25C and sol at bp
http://usefulchem.wikispaces.com/D-EXP022From a library of derivatives, it was the hop hit for the docking site of taxol