1. Quantitative NMR (qNMR) allows for both relative and absolute concentration determination of compounds in a mixture. It requires optimizing acquisition parameters and using an internal concentration standard for absolute quantification.
2. For relative quantification, integral ratios are used to determine molar ratios without needing a standard. For absolute quantification, integrals are compared to a known standard concentration to determine unknown concentrations.
3. Many factors must be controlled for accurate qNMR including sample preparation, acquisition parameters like relaxation delay and digital resolution, processing techniques, and analysis methods for relative or absolute quantification.
You will find here all the elements presented by the CENAPT team ( Drs. Guido Pauli and Charlotte Simmler) and pertaining to the NMR workshop at the American Society of Pharmacognosy (ASP 2017, Portland Oregon).
These slides summarize the different steps related to the implementation of quantitative NMR for purity analysis.
Nuclear magnetic resonance (NMR) spectroscopyVK VIKRAM VARMA
SPECTROSCOPY
NMR SPECTROSCOPY
HISTORY
THEORY
PRINCIPLE
INSTRUMENTATION
SOLVENTS USED IN NMR(PROTON NMR)
CHEMICAL SHIFT
FACTORS AFFECTING CHEMICAL SHIFT
RELAXATION PROCESS
SPIN-SPIN COUPLING
푛+1 RULE
NMR SIGNALS IN VARIOUS COMPOUNDS
COUPLING CONSTANT
NUCLEAR MAGNETIC DOUBLE RESONANCE/ SPIN DECOUPLING
FT-NMR
ADVANTAGES & DISADVANTAGES
APPLICATIONS
REFERENCE
You will find here all the elements presented by the CENAPT team ( Drs. Guido Pauli and Charlotte Simmler) and pertaining to the NMR workshop at the American Society of Pharmacognosy (ASP 2017, Portland Oregon).
These slides summarize the different steps related to the implementation of quantitative NMR for purity analysis.
Nuclear magnetic resonance (NMR) spectroscopyVK VIKRAM VARMA
SPECTROSCOPY
NMR SPECTROSCOPY
HISTORY
THEORY
PRINCIPLE
INSTRUMENTATION
SOLVENTS USED IN NMR(PROTON NMR)
CHEMICAL SHIFT
FACTORS AFFECTING CHEMICAL SHIFT
RELAXATION PROCESS
SPIN-SPIN COUPLING
푛+1 RULE
NMR SIGNALS IN VARIOUS COMPOUNDS
COUPLING CONSTANT
NUCLEAR MAGNETIC DOUBLE RESONANCE/ SPIN DECOUPLING
FT-NMR
ADVANTAGES & DISADVANTAGES
APPLICATIONS
REFERENCE
NMR- Diamagnetic Anisotropy and its effect on chemical shiftD.R. Chandravanshi
The shift in the position of the NMR region resulting from the shielding and deshielding by electrons is called chemical shift.
When a proton is present inside the magnetic field more close to an electro positive atom more applied magnetic field is required to cause excitation. This effect is called shielding effect.
When a proton is present outside the magnetic field close to a electronegative atom less applied magnetic field is required to cause excitation . This effect is called deshielding effect
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Two dimensional Nuclear Magnetic Resonance (2D NMR) refers to a set of multi pulse techniques which were introduced to overcome the complex spectra obtained with NMR.
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PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
NMR- Diamagnetic Anisotropy and its effect on chemical shiftD.R. Chandravanshi
The shift in the position of the NMR region resulting from the shielding and deshielding by electrons is called chemical shift.
When a proton is present inside the magnetic field more close to an electro positive atom more applied magnetic field is required to cause excitation. This effect is called shielding effect.
When a proton is present outside the magnetic field close to a electronegative atom less applied magnetic field is required to cause excitation . This effect is called deshielding effect
RP-HPLC Method Development and Validation of Ketoconazole in Bulk and Pharmac...Sunil Vadithya
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Two dimensional Nuclear Magnetic Resonance (2D NMR) refers to a set of multi pulse techniques which were introduced to overcome the complex spectra obtained with NMR.
It is a set of NMR methods which give data plotted in a space defined by two frequency axes rather than one.
PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
A brief description of NMR sub topics regarding to Volume and Concentration, Consideration in NMR Spectroscopy, Biomolecule samples, Small molecule samples, Sample volume, Spectrometer setup, NMR instrumentation, Deuterium Lock, Probe Tunning for optimizing NMR signal, Sample Tube Placement
NMR is a Powerful analytical technique used to characterize organic molecules by identifying carbon-hydrogen frameworks within molecules.
This file elaborate following sub topics of NMR spectroscopy.
Oversampling and its importance
Digital filtration
purpose of digital filtration
Decoupling for X nuclei
and NMR spectra
Excitation modes in NMR
Inverse detection and its superiority
Data processing
data acquisition
spectrum generation
SP-ICP-MS Analysis of Size and Number Concentration in Mixtures of Monometall...PerkinElmer, Inc.
It is challenging to separate and measure the physical and chemical properties of monometallic and bimetallic engineered nanoparticles (NPs), especially when mixtures of NPs consist of particles of similar size, composition, and especially when present at low concentrations.
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Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
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1. Quantitative NMR Spectroscopy.docx 11/2017
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Quantitative NMR Spectroscopy
1. Introduction
These notes summarise procedures for the acquisition and processing of quantitative 1
H, 19
F, 31
P, and
13
C NMR data. It is important to note that quantitative NMR (now referred to commonly as qNMR) is
not simply a matter of collecting a 1D spectrum and comparing the integrals. A number of
parameters must be optimised in order to obtain accurate and precise quantitative results.
There are essentially two types of quantitative NMR:
1. Relative concentration determination
For relative concentration determination, you are comparing integrals of interest with one
another. This will allow you to measure accurate ratios of the different species, if not the
actual concentrations themselves.
2. Absolute concentration determination
For absolute concentration determination, you are comparing the integrals of interest to a
known concentration standard, and deriving from these absolute values of concentration,
yield and purity. The concentration standard will be referred to as the calibration compound
or calibrant, to distinguish it from a reference compound, which may be employed for
chemical shift referencing.
2. Relative concentration determination
Relative concentration determination is the most common type of quantitative NMR experiment in
organic chemistry, and the easiest to set up. This method will give you the ratios of compounds in a
mixture. Typical applications include purity evaluation, and isomer ratio determination.
When preparing your sample, ensure that your compound is soluble in the solvent selected, the
concentration is high enough to give good S/N, and that the sample volume is appropriate for NMR.
No calibrant is required.
3. Absolute concentration determination
For absolute concentration determination, in addition to the points above concerning sample
preparation, your sample should contain a known amount of a calibration compound. All
compounds should be weighed as accurately as possible. The calibrant does not need to be
structurally related to the analyte of interest, but it does need to contain the nucleus of interest and
to have resonances that do not overlap with those of the analyte. It is also beneficial if the calibrant
produces relatively simple NMR spectra, with only singlet resonances. Additional requirements for
calibration compounds are that they should be chemically inert, highly soluble in the solvent used,
have low volatility, and not have excessively long T1 relaxation times. It is also beneficial if the
2. Quantitative NMR Spectroscopy.docx 11/2017
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calibrant exists in pure form and is easily weighable. Several common 1
H quantitative NMR
calibration compounds have been proposed, and some of the more popular examples are found in
Table 1; further examples can be found at http://www.sigmaaldrich.com/analytical-
chromatography/analytical-standards/application-area-technique/organiccrm.html.
Please speak to a member of the NMR staff if you require help in selecting an appropriate
concentration calibration compound.
If there is no suitable choice of calibrant available, or if sample preparation is an issue, it may be
possible to use an external calibrant. For this, consult a member of the NMR staff.
Solvent solubility
Calibration Standard Structure Molecular
weight
(g/mol)
δ
(ppm)
D2O DMSO-
d6
CD3OD CDCl3
Maleic acid 116.07 6.0-
6.3
Fumaric acid 116.07 6.6-
6.8
Sodium acetate 82.03 1.6-
1.9
Dimethyl sulfone 94.13 3.0
TSP-d4 150.29 0.0
1,3,5-trimethoxybenzene 168.19 6.1
3.7-
3.8
1,4-dinitrobenzene 168.11 8.3-
8.5
3,4,5-trichloropyridine 182.43 8.5-
8.8
2,4-
Dichlorobenzotrifluoride
215.00 -62
(19F)
4,4’-
Difluorobenzophenone
218.2 -106
(19F)
Table 1: Properties of selected
1
H and
19
F calibration standards. Chemical shifts provide a guide but are solvent
dependent within these ranges.
3. Quantitative NMR Spectroscopy.docx 11/2017
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4. Signals to be considered for quantification
When analysing a spectrum with multiple peaks, the signal used for quantification should be
unambiguously assigned. In addition, the signal should be as simple as possible, i.e. a singlet is
superior to a multiplet, and have as little overlap as possible with other peaks. Exchangeable
protons, such as amides or hydroxyls, should not be used for quantification due to their broadness
and susceptibility to sample conditions. If signal overlap is an issue, it may be possible to address this
by changing the solvent or pH, or through the use of auxiliary shift reagents.
5. Acquisition
5.1 Parameter sets
Specific parameter sets are available on the spectrometers for quantitative experiments.
Please speak to the NMR staff if you require other nuclei to be defined.
The 1
H and 19
F experiments do not use 13
C decoupling by default. This means that when
integrating your peaks (see below) one needs to be consistent in either including or
excluding the one-bond satellites for every peak considered. The optional use of 13
C
decoupling removes the satellite peaks and prevents their overlap with other peaks which
may interfere with accurate quantitation; speak with the NMR staff if you think this is
necessary- in most cases it is not required. The 13
C and 31
P experiments must use inverse-
gated decoupling, thereby preventing signal enhancement through NOEs.
5.2 Shimming
After inserting the sample in the magnet, wait at least five minutes for the sample
temperature to equilibrate. Tune and shim your sample then run an initial 1D spectrum.
Accurate shimming is essential for quantitative NMR, so if the spectrum shows evidence of
poor shimming (i.e. poor resolution, broad or unsymmetrical peaks), then re-do the
shimming. It is advisable to turn spinning off to prevent artefacts known as “spinning
sidebands”. If poor shimming is still observed after multiple attempts, remove your sample
from the magnet and check that the sample volume is acceptable, the sample is properly
mixed and that the tube is clean.
5.3 Relaxation delay
It is crucial to ensure that all signals have relaxed fully between pulses. Use a relaxation
delay (“d1”) of at least five times the T1 of the slowest relaxing signal of interest in the
spectrum. A major problem here is that the relaxation times of the nuclei in the sample are
often not known, although they can be quickly estimated with an inversion recovery
experiment. T1 values for 1
H nuclei in medium-sized molecules typically range from 0.5 to 4
seconds, while those for 13
C can range from 0.1 to tens of seconds for quaternary carbons.
For very long 13
C relaxation times, it may be necessary to add a relaxation agent.
4. Quantitative NMR Spectroscopy.docx 11/2017
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As an example, for a quantitative proton experiment, if the longest 1
H T1 in the sample is 4
seconds, the recycle time should be set to at least 20s. In practice, however, the recycle time
is the sum of the relaxation time and the acquisition time. So if the acquisition time is 5s, the
relaxation delay can be set to 15 s, giving 20s in total.
If the relaxation times are not known, the following d1 values are suggested:
1
H: 30s
19
F: 30s
31
P: 30s
13
C: 60s
5.4 Spectral window
There should be sufficient “empty” space on either side of the spectrum so as to ensure that
signals of interest are not affected by attenuation due to receiver filters. A large spectral
width also helps with baseline correction. As a rule of thumb, the spectral width should be
set so that the ends of the spectrum extend by approximately 10% “empty” space on each
side.
5.5 Digital resolution
For accurate integration, each peak should be described by a minimum of four data points
covering the linewidth, and preferably many more. The digital resolution (the spacing
between data points) is defined by the spectral width (“SW”) divided by half the number of
acquired points (“TD”), which also equates to the inverse of the acquisition time (1/AQ). For
a line-width of 1 Hz, which is typical for small to medium-sized molecules, the minimum
digital resolution should therefore be 0.2 Hz, corresponding to an acquisition time of 5s.
The digital resolution in your spectrum can be determined using the command “fidres”.
Having previously defined an appropriate spectral width, the digital resolution should then
be set to at least sw / (td/2) Hz using the parameter “td”.
5.6 Signal to noise
Good signal to noise is essential for accurate integration. For integration errors < 1%, a S/N
of at least 250:1 is required. The number of scans should therefore be set so as to ensure a
good S/N. This will depend on the concentration of your sample. In order to calculate the
signal to noise ratio in your spectrum, use the “sino” command in topspin.
5.7 Excitation bandwidth
The uniform excitation of resonances is also an essential requirement for qNMR. For 1
H
spectroscopy this is readily achieved using standard parameters, but for nuclei displaying
greater chemical shift dispersion some caution is required. This is a particular problem for 19
F
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NMR due to its high frequency and larger chemical shift range, but can also be problematic
for 13
C NMR. In such cases, it is advisable to compare resonances that have similar chemical
shifts (and to choose calibrants that will enable this) and to place the centre of the spectrum
(defining the transmitter excitation frequency “O1P”) at the midpoint of the peaks to be
compared. Alternative sequences employing excitation with frequency-swept adiabatic
pulses may provide better results; speak to the NMR staff for assistance.
6. Processing
6.1 Zero filling
Ensure that you use zero filling, as this will result in increased integral precision. In order to
use zero filling it is necessary to set the size of the real spectrum (“SI”) to be a multiple of the
number of data points used (“TD”). Setting SI = TD is the minimum amount of zero filling,
and is usually sufficient.
6.2 Line broadening
It is advisable to use line broadening, particularly if the spectrum has low S/N. Normally an
exponential weighting function is used. This is controlled by the parameter “LB”, which by
default is set to 0.3 Hz for 1
H and 19
F, and 1 Hz for 13
C.
Increasing the line broadening will increase the S/N, but decrease the resolution. Conversely,
decreasing the line broadening will increase the resolution at the expense of the S/N. Values
between 0.2 to 1 Hz are typical for 1
H and 19
F spectra. Higher values are used for 13
C spectra,
usually in the range 1 – 5 Hz. Therefore, if increased resolution or S/N is needed, it may be
possible to achieve this by changing the line broadening.
6.3 Accurate phasing
The spectra are phased automatically (eg. The Bruker “apk” command). However, the
phasing should be checked to make sure that it is optimal (see figure 1). If not, the phasing
should be altered manually.
6.4 Baseline correction
A flat baseline is important for accurate integration. The baseline is corrected automatically
once the spectrum is completed (the Bruker “abs n” command). However, the baseline
should be checked manually, and if necessary corrected (see figure 1).
6.5 Define appropriate integration regions.
In order to cover 99 % of the peak area, the integration region should cover at least 20 times
the line width in each direction (figure 2). The integral limits can be decreased if signal
overlap is an issue, however it is important to use the same integral limits for all peaks. For
example, if a peak integral is measured to +/- 50 Hz on each side, all other peaks must also
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be measured to +/- 50 Hz. In addition, if 13
C satellites or spinning sidebands are included in
the integral region for one peak, they should be included for all other peaks measured. If
signal overlap is too severe to allow appropriate integration regions, peak deconvolution can
be used (for example in mestreNova).
Figure 1: Examples of poor phasing and poor baseline.
Figure 2: Peak integration- the integrated region should include at least +/- 20x peak half-height
linewidth (Hz).
Poor phasing! Poor baseline!
Line-width = 0.67 Hz
Integral limits = 20 x line-width
(+/- 0.027 ppm at 500 MHz)
7. Quantitative NMR Spectroscopy.docx 11/2017
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7. Analysis
7.1 Relative concentration determination
Essentially you need to integrate the signals of interest, normalise for the number of protons, and
perform a simple ratio analysis. The molar ratio Mx/My between two compounds x and y can be
determined using the formula:
𝑀𝑥
𝑀𝑦
=
𝐼𝑥
𝐼𝑦
∙
𝑁𝑦
𝑁𝑥
where I is the integral, and N is the number of nuclei giving rise to the signal.
7.2 Absolute concentration determination
This analysis can yield the concentration of the analyte or can directly provide a measure of its
purity.
7.2.1 Molar concentration
The signal(s) corresponding to the calibration compounds must be integrated and normalised
according to the number of protons giving rise to the signal. The integrals of the compound(s) of
interest must then be compared with those of the calibration compound. The concentration of a
compound x in the presence of a calibrant can be calculated using the following formula:
𝐶x =
𝐼x
𝐼cal
×
𝑁cal
𝑁x
× 𝐶cal
where I, N, and C are the integral area, number of nuclei, and concentration of the compound of
interest (x) and the calibrant (cal), respectively. This assumes that the purity of the calibration
compound is 100%. If the purity of the calibrant is not known, it may be useful to do a purity analysis
first.
7.2.2 Purity / yield determination
The purity of a compound x, as a percentage of its nominal weight, can be determined using the
following formula:
𝑃𝑥 =
𝐼𝑥
𝐼𝑐𝑎𝑙
×
𝑁𝑐𝑎𝑙
𝑁𝑥
×
𝑀𝑥
𝑀𝑐𝑎𝑙
×
𝑊𝑐𝑎𝑙
𝑊𝑥
× 𝑃𝑐𝑎𝑙
where, I, N, M, W and P are the integrated area, number of nuclei, molecular mass, gravimetric
weight and purity of the compound of interest (x) and the calibration compound (cal), respectively.
Because this is a weight-based % purity, it allows you to evaluate the purity even if other
components in the sample are invisible by NMR.
8. Quantitative NMR Spectroscopy.docx 11/2017
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As an example, figure 3 illustrates a purity determination of a commercial sample of the amino acid
alanine. A nominal mass of 1.78 mg alanine was tested, using 1.2 mg DSS (purity = 98%) as an
internal calibration standard.
Figure 3: Example of purity evaluation using quantitative 1
H NMR.
Nader Amin & Tim Claridge 2017
DSS
3x(CH3)
Alanine
CH3
L-Alanine
Alanine
CH
13.41 40.24 10.00
Compounds
Alanine: Mx = 89.09 g/mol, W = 3.56 mg. Nominal mass = 1.78 mg.
DSS: Mcal = 196.34 g/mol, Wcal = 0.64 mg, Pcal = 98%
Integrals
Alanine: Ix = 53.65 (Sum of C-H and CH3 proton signals), Nx = 4
DSS: Ical = 10, Ncal = 9
Purity Evaluation
Px = 96.5%
The commercial sample of alanine is therefore 96.5% pure, meaning that the actual mass of
alanine in the sample is 1.72 mg.