PNA Presentation at 9th Upstate NY NMR Symposium
State University of New York
College of
Environmental Science and Forestry (SUNY-ESF)
Syracuse, NY, 13210
Alumni Lounge– Marshall Hall
October 12, 2007
Co-Organizers
| SUNY-ESF | Syracuse University | SUNY Upstate Medical University | Bristol-Myers Squibb |
| Art Stipanovic | Phil Borer | Stewart Loh | Doug Weaver |
| Dave Kiemle | Stephan Wilkens |
Sponsors
| SUNY-ESF | |
| Syracuse University | |
| Bruker Biospin | |
| Bristol-Myers Squibb | |
| Process NMR Associates LLC | |
| Isotec | |
| Cambridge Isotope Laboratories | |
| Varian Inc. |
The 9th annual Upstate NY NMR Symposium will be held at SUNY-ESF on Friday, October 12th featuring keynote speaker Professor Ruth E. Stark, Director Institute for Macromolecular Assemblies, CUNY. Others from around the region will also highlight their work in short presentations and posters.
| Tentative oral presentation program | |
| Poster session program (posted by 9/12) |
There is no cost to attend this symposium due to the generosity of the sponsors listed above but pre-registration is required
| Registration form |
Lodging arrangements have not been made for this symposium but a variety of options are available:
| Lodging Options |
The conference will be held in the Alumni Lounge (a.k.a. Nifkin Lounge), Marshall Hall on the SUNY-ESF campus located adjacent to Syracuse University.
| Maps and Directions |
Parking has been arranged in the Irving Garage just a short walk from Marshall Hall (campus map).
Tentative Program
| Time | Place | Speaker | Title |
| 8:00-9:10 AM | Alumni Lounge Marshall Hall |
Check-In Coffee + Bagels Poster Setup |
Posters on Display |
| 9:15 | Alumni Lounge | Phil Borer Syracuse University |
Welcome |
| 9:30 | “ | Thomas Szyperski SUNY-Buffalo |
Where do we stand on GFT projection NMR spectroscopy? |
| 9:55 | “ | Yibing Wu SUNY-Buffalo |
GFT-NMR based high throughput structure determination exemplified for NESG targets NeT4 and SR500A |
| 10:10 | “ | Arindam Ghosh SUNY-Buffalo |
NMR structure of NESG target MR32, a member of the family of Trm112p-like proteins |
| 10:25 | “ | Bio-Break | |
| 10:35 | “ | David LeMaster Wadsworth Center - NYS Dept. of Health | Electrostatic stabilization and general base catalysis in the active site of the human protein disulfide isomerasea domain monitored by hydrogen exchange |
| 11:00 | “ | Joseph Hornack RIT |
The relaxivity of Gd-(DTPA-BMA) / Cu+2 mixtures and evidence for a Gd-(DTPA-BMA)-Cu complex. |
| 11:25 | “ | Nelly Aranibar Bristol-Myers Squibb |
Metabolomics in Drug Discovery and development |
| 11:50 | “ | Lunch Poster Session |
|
| 1:30 PM | 140 Baker Lab | Nikolaos Sgourakis Rensselaer Polytechnic Institute |
Pressure Effects on the Ensemble Dynamics of ubiquitin at the Picosecond-to-Nanosecond timescale investigated with isotropic reorientational eigenmode dynamics |
| 1:55 | “ | Paul Giammatteo or John
Edwards Process NMR Associates, LLC |
New Developments in Non-traditional NMR Applications |
| 2:25 | “ | George Crull Bristol-Myers Squibb |
Extending Solid State NMR to Address Process Development Issues |
| 2:50 | “ | Gwen Lubey P+G Pharmaceuticals |
Solid State NMR Characterization of Risedronate Hydrate Forms and Dehydrated Risedronate |
| 3:15 | “ | - | Break |
| 3:30 | Keynote Lecture | Prof. Ruth Stark CUNY |
NMR Structural Studies of Protective Plant Biopolymers |
October 5, 2007
Process NMR Sessions at Eastern Analytical Symposium - November 14
Eastern Analytical Symposium
– November 12-15, 2007
Garden State Convention Center,
Somerset, New Jersey
Process NMR Technology
Sessions
Wednesday, November 14, 2007
Chair: John Edwards, Process NMR
Associates
Sponsored by Process NMR Associates
Process NMR Technology I: High-Resolution Studies
9:00 “Introduction to NMR in
Process Control”
John Edwards, Process NMR Associates
9:25 “Standardizing and Stabilizing
NMR Calibration Transfer”
Miko DeLevy, Qualion NMR Analyzers
9:50 “More from the Barrel –
On-line NMR Increases Diesel Production
and Quality”
Paul Giammatteo, Process NMR Associates
10:15 Break
10:35 “Taking NMR into the Refining
Process: Best Practices and Benefits”
Marcus Trygstad, Invensys Process
Systems
11:00 “Get Your Head Out of the
Sand: Use of Reaction NMR to Better
Understand Reactions in Process
Development”
Andreas Kaerner, Eli Lilly
11:25 “Direct Prediction of
Gasoline Properties for Monitoring
Refinery Processes by H-1 NMR
Spectroscopy”
Veena Bansal, Indian Oil Company
Process NMR Technology II:
Time-Domain Studies
Chair: John Edwards, Process NMR
Associates
Sponsored by Process NMR Associates
2:00 “Recent Developments in
Time-domain NMR and Its Applications in
Polymer Industry”
Harry Xie, Bruker Optics
2:25 “Time-domain NMR: Uses and
Contributions to Process Control”
Vaughn Davis, Progression
2:50 “Recent Progress of NMR and
MRI in Petroleum Exploration”
YiQiao Song, Schlumberger-Doll
3:15 Break
3:35 “Applications of Time-domain
NMR to Laboratory and On-line Polymer
Analysis”
Maziar Sardashti,ConocoPhillips
4:00 “Challenges in On-line Water
Cut Monitoring of Heavy Oil Thermal
Operations Using Low Field NMR”
Sergey Kryuchkov, University of Calgary
4:25 “Benchtop Fluoride NMR: A
Rapid QC/QA Method”
Chris Borgia, Colgate-Palmolive
The Wood-Based Biorefinery in a Petroleum Depleted World
The Mid-Hudson Section of the American Chemical Society and Vassar College Announce
“The Wood-Based Biorefinery in a Petroleum Depleted World”
Dr. Arthur J. Stipanovic,
Professor and Chair, Department of Chemistry
State
University of New York,
College of Environmental Science and
Forestry (SUNY-ESF)
Wednesday, November 7th, 2007
Time: 7:00 pm
Location: Mudd Chemistry Building, Third Floor
Refreshments will be served at 6:30 pm
Vassar College, Poughkeepsie, New York
Contact: Dr Joseph Tanski (jotanski@vassar.edu, 845-437-7503)
Abstract: The 21st century is envisioned to become the “age of biology” as renewable biomass resources replace petroleum in energy and industrial product applications. Motivated by concerns over national energy security, global CO2 reduction, a need for biodegradable products, and enhanced rural economic development, the engineering and construction of “biorefineries” for the manufacture of fuels, chemicals, polymeric materials and power from renewable resources is now a critical national priority. The context and intent of a biorefinery must be much more than simply replacing crude oil with renewable raw materials. A successful biorefinery must: 1) efficiently separate its raw material source into individual components, and, 2) be able to convert these components into marketplace products. The biorefinery must mirror the efficiency of today’s modern petrochemical refinery in using all components of its raw material source for the production of chemicals, fuels, and power.
Woody “lignocellulosic” biomass is a complex, composite material consisting of three polymers in close association: hemicellulose, cellulose, and lignin plus small amounts of low molecular weight extractives and inorganics. In this presentation, a group of synergistic biomass feedstock and “biorefining” technologies under development at SUNY-ESF, in collaboration with many industrial and academic partners, will be discussed including: short-rotation fast growing willow production, biodelignification, hemicellulose extraction, polymer conversion to fermentable sugars, biodegradable thermoplastics and hemicellulose-based composites.
See the Stipanovic Website at SUNY_ESF for further details…..http://www.esf.edu/chemistry/faculty/stipanov.htm
Bio: Dr. Arthur J. Stipanovic is currently Professor and Chair of the Department of Chemistry at the SUNY College of Environmental Science and Forestry (SUNY-ESF) in Syracuse , NY , and also serves as Director, Analytical and Technical Services. His research interests include biodegradable polymers from renewable resources, high-throughput analytical techniques for determining the composition of woody biomass and new processes for the wood-based biorefinery. Dr. Stipanovic received both his B.S. and Ph.D. degrees from SUNY-ESF in polymer chemistry and much of his career was spent at the Texaco R&D labs in Beacon, NY, in new technology and lubricants research. He is a past Councilor and Executive Board member of the Mid-Hudson ACS section and, more recently, has served as Chair of the Syracuse section.
Directions: Vassar College is located off Raymond Avenue in Poughkeepsie , NY. Refer to the following link for driving directions and campus map: http://www.vassar.edu/directions/. Enter the Main Entrance of the campus on Raymond Avenue and go right towards the Mudd Chemistry Building. The Security Guard at the Main Entrance will direct you to parking.
June 12, 2007
NMR Analysis of Jasmine Absolute - jasmine officinale - Egypt
NMR analysis of Jasmine Absolute.





For
more information on NMR of Essential
Oils visit the PNA website.
May 15, 2007
Omega-3 Dietary Supplements - NMR Analysis
Fish Oils - Flaxseed Oils
NMR is extensively utilized to analyze fish oils and edible oils high in omega-3 fatty acids.
Examples of 1H and 13C data and analysis are provided below:

13C NMR Analysis of Fish Oil Supplement

13C NMR of Flaxseed Oil Supplement

May 14, 2007
Wine Analysis by NMR
Brief Overview of Wine Analysis by 1H and 13C NMR
Wine analysis by 1H or 13C NMR can be used to follow acid content during maturation. Lactic, succininc and acetic acid can be followed readily by both techniques and presence of sugar, glycerol, and methanol can be observed.
Chemometric approaches are starting bear fruit with respect to quantitative analysis:


NMR Without Solvents - Biodiesel Production Process - FAME, Glycerol, FFA, and Methanol
1H and
13C NMR NMR is typically
obtained using deuterated NMR solvents
to lock the field during acquisition. In
some cases the use of these solvents is
problematic as it prevents observation
of solublized phases present in the
sample. As an example we show here the
NMR data obtained on a biodiesel
production process. One of the major
issues with the FAME product is the
presence of glycerol in the product. NMR
analysis is usually performed by
dissolving the FAME in CDCl3
in which glycerol is completely
insoluble. Thus NMR analysis performed
in this way does not allow analysis of
residual glycerol content. However, if
the FAME is run neat this issue does not
arise.
Another
analysis of enormous interest from the
process control standpoint is the
analysis of the glycerol/methanol phase.
This phase contains considerable free
fatty acids as well as the glycerol by
product and excess methanol from the
transesterification process. The three
components are readily observed by 1H
and 13C NMR, and 23Na
can be used to observe NaOH content in
the phase. Finally the shift and shape
of the observed OH resonance can yield
information on the pH of the glycerol
phase. Typically this analysis is done
in DMSO-d6
Below are some examples of NMR obtained without a deuterated solvent:


Difference in aliphatic carbon distribution between FAME phase and Free Fatty Acids (FFA)
found in the glycerol - methanol phase.

1H NMR of aliphatic component found in the FAME phase as well as the FFA in the glycerol phase.

May 10, 2007
NMR PhD Position with Damien Jeannerat at Universite de Geneve
I am posting this on behalf of Damien Jeannerat.
April 16, 2007
Monitoring of a Biodiesel Transesterification Process with a TD-NMR Spectrometer
The 19.5 MHz Spintrack NMR analyzer was utilized to study a FAME biodiesel production reaction. The samples analyzed were:
1) Used vegetable oil
2) Partially transesterified biodiesel product (bad biodiesel)
3) High yield FAME biodiesel product
4) Glycerin by-product from the process
CPMG T2 decays were generated and then that data was processed with a inverse laplace transformation to produce T2 distribution profiles.
NMR Experiment explanation is given below:

The CPMG data obtained on the four samples is shown below:


The T2 distribution profiles obtained by inverse Laplace transformation of the CPMG data are shown below:



Plainly TD-NMR can play a role in monitoring the biodiesel production process.
TD-NMR Analysis of Catalytic Cracker Feedstocks
The 19.5 MHz Spintrack NMR analyzer was utilized to study a large series of vacuum gas oils and FCC feeds for which PNA also has laboratory test data.
The analysis was performed on a SpinTrack 19.5 MHz TD-NMR spectrometer - CPMG T2 decays were generated and then that data was processed with a inverse laplace transformation to produce T2 distribution profiles. These T2 distribution profiles are currently being correlated to physical and chemical property data.
NMR Experiment explanation is given below:

The CPMG data obtained on the four samples is shown below:

The T2 distribution profiles obtained by inverse Laplace transformation of the CPMG data are shown below:

The correlation between T2 distribution and the metal content, viscosity, distillation range, density, asphaltene content are all being investigated at the current time.
April 15, 2007
13C NMR of FAME Biodiesel
Below are examples of 13C NMR data obtained on biodiesel (FAME) and the vegetable oil precursor that it was made from by transesterification process involving microwave activation of the reaction between triglycerides and methanol in the presence of a caustic catalyst. Process NMR Associates is developing correlations between 13C NMR data and biodiesel properties stipulated in ASTM 6751.






Detailed 13C NMR Analysis of Hydrocarbons - Patent Applications
Today one often finds hydrocarbon mixtures described by the detailed carbon type analysis that is possible from 13C NMR.
Many petroleum related products are being described in this way in patents leading to a novel way of describing a material and restricting others from using those same materials in products of their own. See Exxon, Mobil, and Chevron patents such as:
6,090,989 ; 6,210,559 ; 6,059,955 ; 6,846,778 ; 20050077208 ; and 20050077209
In this PDF file we have shown some of the details present in a 13C NMR spectrum on petroleum products such a base oils, gas oils, diesels, etc.
There are some issues with the assignements of many of these patents … for more details on how NMR might be of use in the patent process contact John Edwards





April 14, 2007
Naphtha Chemistry Analysis by 1H NMR
1H NMR has been used extensively by Process NMR Associates to determine PIONA analysis of Naphthas and to determine detailed aromatics breakdown in aromatics unit feeds, products, and intermediate products. Below are a few examples of naphtha chemistries that are observed and quantified by 1H NMR.



Conjugated Olefin analysis is performed by a combination of HH-COSY and 1D 1H NMR.
For more details contact John Edwards
NMR Job Opportunity - Saudi Aramco
Saudi Aramco Research and Development are searching for an experienced NMR spectroscopist - see details
Anyone who has NMR employment opportunities should contact Process NMR Associates. We would be happy to post you job listing to our blog and website.
If interested please e-mail a job description, requirements, and contact information to John Edwards
April 13, 2007
Quantifying Adulteration of Licorice With Maltodextrin by Liquid and Solid-State NMR
Three samples were analyzed to determine if liquid or solid-state NMR techniques could be utilized to quantify adulteration of licorice powders by maltodextrin. Samples analyzed were:
Maltodextrin, Licorice #1, Licorice #2
Licorice #1 and Licorice #2 were analyzed by a combination of liquid-state 1H and 13C NMR on a Varian Unity-300 spectrometer, and solid-state 13C NMR on a Varian UnityPlus 200 spectrometer. The resulting spectra are shown in the attached plots.
One of the Licorice samples is adulterated by maltodextrin to an unknown concentration, the other licorice sample is pure licorice. Which sample was which was not known during the analysis. Initially it was hoped that the addition of maltodextrin to the licorice would be readily observed as new peaks appearing in the spectrum of the licorice sample. However, it can be seen that in both the 1H and 13C NMR there is considerable overlap of the peaks in the spectra of pure licorice and maltodextrin.
When no observable maltodextrin peaks could be assigned it was decided to simply use the quantitative integral data from the regions of the spectrum where the maltodextrin overlaps with the licorice spectrum compared to the integrals obtained from regions solely assignable to licorice. In Tables 1-3 are the quantitative results for each of the experiments performed.
Table 1: 1H NMR Integral Regions
|
Normalized on Reg 4
|
|
|
|
|
Regions 1 and 2 contain maltodextrin/licorice peaks.
Regions 3 and 4 contain only licorice peaks …. Data was norma lized to region 4. The norma lization norma lizes the licorice signal intensity. Thus the increased intensity of regions 1 and 2 in sample #1 is indicative that this sample contains maltodextrin. Samples #1+ and #2+ were made by adding more maltodextrin to the samples. Sample #1+ contains a further 10.9 wt % maltodextrin, while sample #2+ contains 11.4 wt% maltodextrin. The values were used to calculate the maltodextrin content in sample #1.
The 1H analysis indicates that there is 3.3 wt% maltodextrin in sample #1
Table 2: 13C NMR Integral Regions
|
Normalize on Region 7
|
|
|
|
|
|
|
|
Regions 1-3 were common to licorice and maltodextrin signals, while regions 4-7 were exclusive to licorice signals. Normalization on region 7 sets the licorice at a norma lized intensity. Again the intensty of regions 1-3 increases from sample #2 to sample #1 indicating the presence of maltodextrin in sample #1.
Calculation indicates that there is 6.1 wt% maltodextrin in the sample.
Table 3: Solid-State 13C Integral Regions
|
Solids 13C CPMAS
|
Normalized to Reg 3
|
|
|
Region 1 contains maltodextrin and licorice signals, while regions 2 and 3 contain only licorice signals.
Again, the intensity of region 1 increases from sample #2 to 31 upon norma lization of the licorice only region 3. This confirms the presence of maltodextrin in sample #1. Samples #2+ and #1+ were not analyzed by solid-state NMR. This 13C analysis is much faster than the liquid-state NMR and would be a plausible short cut to quantify maltodextrin content.
Upon completion of the analysis it was revealed that the adulteration value was 5% maltodextrin.



March 30, 2007
Process NMR Symposia to be held at EAS 2007
John Edwards of Process NMR Associates has organized and sponsored two symposium sessions at the Eastern Analytical Symposium in Somerset New Jersey, November 12-15, 2007. One session will focus on high-resolution process NMR and the other on applications of TD-NMR in process control. The speakers and talk titles are listed below. Check the EAS site for exact details on the date and time of the sessions (EAS website). If you are interested in attending and would like to submit a paper for presentation visit the EAS Abstract submission site.
Session Title: Process NMR Technology - High Resolution NMR
John Edwards, Process NMR Associates, “Introduction to NMR in Process Control”
Miko DeLevy, Qualion NMR Analyzers, “Standardizing and Stabilizing NMR Calibration Transfer”
Paul Giammatteo, NMR Process Systems, “More from the Barrel - On-line NMR Increases Diesel Production and Quality”
Marcus Trygstad, Invensys Process Systems, “Taking NMR into the Refining Process: Best Practices and Benefits”
Andreas Kaerner , Eli Lilly, “Get Your Head Out of the Sand: Use of Reaction-NMR to Better Understand Reactions in Process Development”
Veena Bansal, Indian Oil Corporation, “Direct Prediction of Gasoline Properties for Monitoring Refinery Processes by 1H NMR Spectroscopy”
Session Title: Process NMR Technology - TD-NMR
Harry Xie, Bruker Optics, “Recent Developments in Time-domain NMR and its Applications in Polymer Industry”
Vaughn Davis, Progression Inc, “Time Domain NMR: Uses and Contributions to Process Control”
YiQiao Song, Schlumberger-Doll, “Recent Progress of NMR and MRI in Petroleum Exploration”
Maziar Sardashti, ConocoPhillips, “Applications of TD NMR to Laboratory and On-line Polymer Analysis”
Sergey Kryuchkov, University of Calgary, “Challenges in Online Water Cut Monitoring of Heavy Oil Thermal Operations Using Low Field NMR”
Chris Borgia, Colgate Palmolive, “Benchtop Fluoride NMR: A Rapid QC/QA Method”
March 25, 2007
Trans Fat Analysis by NMR
A series of Trans Fat standards was purchased from AOCS. The ability of 1H and 13C NMR to predict Trans Fat Content as well as
Saturated, Poly-unsaturated, and Mono-unsaturated Fat Content
The data of the samples is presented in the table below:

PLS regression techniques were used to correlate 1H and 13C NMR spectral variation to the unsaturation level and type of unsaturation of the samples.
Processed 13C data is shown below:

1H NMR data is shown below:

The following correlations were obtained from the 13C NMR data.







NMR Analysis of Essential Oils - Example of Sri Lankan Citronella
The data below shows the ability of 13C NMR to assign the natural product distribution found in essential oils. Once assignment of the oil hgas been obtained by 13C NMR the 1H NMR can also be assigned. For QA/QC a benchtop 60 MHz system has enough resolution that authenticity of essential oils can be performed either visually of by PCA type analysis.








Ger - Geraniol GerAc - Geranyl Acetate iEugMe - Methylisoeugenol Bor - Borneol





















