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HAL Id: hal-01881873

https://hal.sorbonne-universite.fr/hal-01881873

Submitted on 26 Sep 2018

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Solid-state nuclear magnetic resonance : from physics to materials

Guillaume Laurent, Christian Bonhomme, F. Babonneau

To cite this version:

Guillaume Laurent, Christian Bonhomme, F. Babonneau. Solid-state nuclear magnetic resonance : from physics to materials. 3rd summer school of nanosciences in Ile-de-France, Jun 2009, Le Tremblay sur Mauldre, France. �hal-01881873�

(2)

G. LAURENT 1 , C. BONHOMME 1 , F. BABONNEAU 1 1 Chimie de la Matière Condensée de Paris

Biology

Thalassiosira Pseudonana

Benoit TESSON, Sylvie MASSE1 Anal Bioanal Chem, 2008, 390, 1889–1898

FrustulinsFrustulins PolyaminesPolyamines

PleuralinsPleuralins SilaffinsSilaffins

Si O Si O Si O Si

O Si

O Si O

O Si

O Si O

Si O Si

OH HO

O Si O Si

O

OH

O Si O Si NH2 O

NH2

NH2 H2N

NH2 NH2 H2N

NH2 H2N

H2N

NH2 H2N

H2N NH2

H2N H2N

NH2 NH2

Ca

(ppm)

-140 -130 -120 -110 -100 -90 -80 -70 -60

Q2 Q3

Q4

29Si

glycerol 1,2-cyclic phosphate

31P

30 10

(ppm)0 -10 -20 -30 -40 20

40

inorganic phosphates/

phospholipids

polyphosphates

1H

(ppm)

-1 0 1 2 3 4 5 6 7 8 9 10

13C

(ppm)

-20 0 20 60 100 140 180

13C CP

(ppm)60 20 0 -20 100

140 180

(ppm )3 2 1 0 -1

4 5 6 7 -1

0 1 2 3 4 5 6 7

2D-NOESY 1H-1H

15N CP

(poly)-amines amides

nucleic acids/

Chlorophyll

(ppm)

-340 -300

-260 -220

-180

ammonium

(ppm) 20 10

30 40

0

1

2

3

File : C:\Data_NMR\Sylvie\300\Thala\C13CP-e3Thala4-4BL\31\pdata\1\2rr

INEPT 1H-13C

Physics

Zeeman effect

NMR is precise but not sensitive

Larmor frequency 2πν=γB0

Nuclear spin

Excitation Radio Frequency pulse

FT

Return to equilibrium

Liquid state : T1 ≈ T2 → narrow peaks Solid state : T1 > T2 → broad peaks

David D. Laws, Angewandte Chemie International Edition, 2002, 41, 3096-3129

CSA D Q

Solid State Nuclear Magnetic Resonance From Physics to Materials

Mechanics

2.4 tons

Floor reinforcement

Probe

Spinning rate depending on rotor size

Centrifugation

Nuclear

Magnetic

Resonance

Cryogenics

Liquid

Boiling point

(K)

Heat of vaporization

(kJ.mol-1)

Vol. for cool down (L)

Vol. in cryostat

(L)

Filling frequency

(days)

Cost (€.L-1)

Nitrogen 77.4 5.56 1000 286 7 0.50

Helium 4.22 0.08 1000 256 90 7.00

Warming up Asphyxia risk Cryostat frozen

Pumping He

N2

magnet

Electronics

Put up to field : 200A !!!

2-3 days needed Permanent magnet

Power amplifiers

(1kW) Pneumatic

unit Radio

fréquency control Temperature

unit Stability

control

J.-C. BELOEIL, NMR course, 1999, IUT d'Orsay, France

UPS 15 kVA, 1h Without any

maintenance

Mathematics

J.-C. BELOEIL, NMR course, 1999, IUT d'Orsay, France

Truncation

First order

phasing Zero order

phasing

TF

Conclusions

Nuclear Magnetic Resonance is a powerful technique that interacts with many fields, for instance physics, mechanics, cryogenics, electronics, mathematics, informatics, and of course chemistry and biology. In liquid state, NMR is sometimes used as a black box, just to check if synthesis works. However, in solid state it is difficult to use it this way. Indeed, physical interactions are not averaged anymore, leading to signal broadening. Some tools can be used to narrow the signals and / or to manipulate interactions either in the laboratory frame or in the rotating frame. Solid state NMR can be used on a wide range of nucleus to quantify species, study their mobility, check proximities between different parts of the sample, either by dipolar coupling or by chemical bonding. One sometimes need to avoid physical artifacts such as dead time in order to get a correct spectrum. In this case, linear prediction and other mathematic tools can be very useful. Finally, one has also to keep in mind that the sample itself can induce difficulties, especially when studying nanoparticles where the side effects become not negligible at all.

Informatics

Spectrometers park administration : 3 Linux Redhat workstation 4 4 Windows 2000

2 Windows XP Processing software Backups

Christel GERVAIS1

Journal of Magnetic Resonance, 2007, 187, 131–140

Predictive computations

;echorot.gul

;theta1-theta2 echo with rotary resonance

;cnst31 :frequence de rotation

;p1 :90 deg on H

;pl1 :H power for hard pulse

;pl10 :H power for spin lock, RF=MAS*2

;l6 :loop counter for echo

;l10 :loop counter for spin lock

#include <Avancesolids.incl>

"p2=p1*2"

"p10=l10*1s/cnst31"

"d10=1s/cnst31-p2/2"

1 ze 2 d1

3 10u pl1:f1 (p1 ph1):f1 0.3u

(p10 pl10 ph10):f1 ;RF=MAS*2 rotary resonance echo d10

(p2 ph2):f1 d10

(p10 pl10 ph10):f1 ;RF=MAS*2 rotary resonance echo go=2 ph31

wr #0 exit ph0= 0 ph1= 0 1 2 3

ph2= 0 0 0 0 1 1 1 1 2 2 2 2 3 3 3 3 ph10= 3 0 1 2

ph31= 0 3 2 1 2 1 0 3

explicationsdefinitionsmain programphase cycling Pulse programming

Chemistry

Niki BACCILE1, Chem. Mater., 2007, 19, 1343-1354

Frédérique POURPOINT1 Chem. Mater., 2007, 19, 6367–6369

31P

31P inadequate

13C SC14

Niki BACCILE1, J. Phys. Chem. C, 2009, 113, 9644–9654

13C IRCP

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