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Topic: Probability of isotopes occurring in a molecule; inorganic NMR question.  (Read 1798 times)

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Offline Mark S 2014

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Hi,

The Question is:

'Calculate the proportions of [Mn(12CO)6] + and [Mn(12CO)5( 13CO)]+ present in a sample of [Mn(CO)6]+ containing naturally abundant carbon. Sketch the appearance of the solution-phase 55Mn NMR spectrum of [Mn(CO)6]+ , taking into account these two calculated proportions. Ensure that in your answer you fully account for the number and relative intensities of the peaks in the spectrum.'

Abundance of 12C = 0.989
Abundance of 13C = 0.011

To calculate the proportion of [Mn(12CO)6]+ :

(0.989)^6 = 0.9358

To calculate the proportion of [Mn(12CO)5(13CO)]+ :

(0.989)5 * (0.011) = 0.01041



If the answers for the proportions are correct, I would get the 55Mn NMR spectrum of [Mn(CO)6]+ to consist of:

​A large central singlet with relative intensity of 0.9358. Corresponding to [Mn(12CO)6]+
A doublet of satellite peaks, a peak either side of the central singlet. Each peak would have an intensity of (0.01041/2). Corresponding to [Mn(12CO)5(13CO)]+

Can anyone tell me if my way of calculating the probabilities of this is correct, and if it is, is my description of the manganese NMR spectrum correct ? I'mm pretty confident it's right.  :)

Appreaciate any feedback,

Mark

Offline mjc123

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Re: Probability of isotopes occurring in a molecule; inorganic NMR question.
« Reply #1 on: December 22, 2015, 04:59:50 AM »
The proportion of monosubstituted complex is wrong. (You should be able to tell this; as the abundance of 13C is so low, the proportion of polysubstituted complexes will be very low, so unsubstituted + monosubstituted ≈ 100%, which is not the case.)
Because there are 6 COs, there are 6 possibilities for substitution, so you multiply your calculated probability by 6. Generally, the probability of substituting r out of N ligands, each substitution having a probability p, is given by the binomial formula
P(r,N) = N!/r!(N-r)!*pr(1-p)N-r
Have you come across this?
If you apply this you will get P(1,6) ≈ 0.06, which is much more sensible.

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