H.-R. Bjørsvik et al. / Tetrahedron Letters 45 (2004) 8615–8620
8619
submitted for a detailed study using statistical experi-
mental multivariate modelling.
fully acknowledged. Professor George Francis is
acknowledged for linguistic assistance.
Conclusion. In summary, the oxidation method pre-
sented here, requires basic conditions and SPC as the
terminal oxidant. SPB can be utilized as the terminal
oxidant, but when operated under the conditions optim-
ized for SPC, inferior results were obtained. However,
we believe that comparable results may be accom-
plished if an optimizing study is performed for this oxi-
dant as well. The oxidation method operates with the
best selectivity at moderately elevated temperature
(75–80ꢁC).
References and notes
1. Bjørsvik, H.-R.; Liguori, L.; Minisci, F. Org. Process Res.
Dev. 2001, 5 136–140.
´
´
2. Bjørsvik, H.-R.; Liguori, L.; Rodrıguez Gonzalez, R.;
Vedia Merinero, J. A. Tetrahedron Lett. 2002, 43, 4985–
4987.
3. Bjørsvik, H.-R.; Liguori, L.; Vedia Merinero, J. A. J. Org.
Chem. 2002, 67, 7493–7500.
4. (a) McKillop, A.; Tarbin, J. A. Tetrahedron 1987,
43, 1753–1758; (b) McKillop, A.; Kemp, D. Tetra-
hedron 1989, 45, 3299–3306; (c) McKillop, A.; Sander-
son, W. R. Tetrahedron 1995, 51, 6145–6166; (d) Muzart,
J. Synthesis 1995, 1325–1347; (e) McKillop, A.; Sander-
son, W. R. J. Chem. Soc., Perkin Trans. 1 2000, 471–476.
5. Russell, G. A.; Geels, E. J.; Smentowski, F. J.; Chang,
K.-Y.; Reynolds, J.; Kaupp, G. J. Am. Chem. Soc. 1967,
89, 3821–3828.
It is reasonable to believe that the oxidation operates
according to a mechanism similar to that previously dis-
closed by us.2 In the present case, however, the reduc-
tion products from the nitroarene are oxidized by
means of SPC or SPB.
In contrast to the aerobic oxidation method2,3 the pre-
sent method is not specific for benzaldehydes and benz-
alcohols, since such functional groups are oxidized by
both SPB and SPC. The investigations performed for
the preparation of benzoic acids 8b–13b revealed vary-
ing results with respect to the yield, but the method
may be further improved for each of the substrates
8a–13a as well as for other acetophenone derivatives in
order to perform processes which are of industrial
interest.
6. Russell, G. A.; Geels, E. J. J. Am. Chem. Soc. 1965, 87,
122–123.
7. Geels, E. J.; Konaka, R.; Russell, G. A. Chem. Commun.
1965, 23, 13.
8. The statistical experimental design outlined in Table 2 is a
composite design that allows the estimation of the main
effects, the interaction effects and the quadratic effects for
each of the experimental variables.
9. Draper, N. R.; Smith, H. Applied Regression Analysis, 3rd
ed.; Wiley: New York, 1998.
10. Montgomery, D. C.; Peck, E. A. Introduction to Linear
Regression Analysis; Wiley: New York, 1982.
11. (a) The multivariate calculations and graphical represen-
tations were performed by means of in-house developed
General oxidation procedure. Starting materials and rea-
gents were purchased commercially and used without
further purification. Acetophenone or derivative
(2.4mmol) was dissolved in a solution of potassium
tert-butoxide (6.0mmol) in tert-butanol (12.0mL). The
oxidant sodium percarbonate (3.12mmol) was added
at the start of the reaction followed by the catalyst
1,3-dinitrobenzene (0.24mmol). A further two portions
of SPC were added after 1h (2.5mmol) and after 2h
(1.5mmol). The reaction mixture was stirred using a
magnetic stirrer bar and heated at 80ꢁC for a total reac-
tion time of 5h under a nitrogen atmosphere in order to
avoid any interaction of molecular oxygen. The reaction
was quenched by dilution with water (30mL) and
extracted with ethyl acetate (3 · 30mL). The aqueous
phase was acidified using concd sulfuric acid to pH1–
2, then extracted with ethyl acetate (3 · 30mL). After
diluting with further ethyl acetate to 250mL, a sample
(10mL) was mixed with internal standard (1-chloro-
2,4-dinitrobenzene) solution (10mL) and analyzed by GC.
ꢂ
procedures for MATLAB version 6.1, which previously
have been validated by comparison of the calculated
results with computational results obtained from several
commercial computer programs for statistics and mathe-
matical model building. (b) Using Matlab, Version 6, The
MathWorks Inc., Natick, MA, USA. (c) Using Matlab
Graphics Version 6, The MathWorks Inc., Natick, MA,
USA.
12. The product statistic of the model indicates an acceptable
predictive capacity; R2 = 0.711, Q2 = 0.547, RMSEP =
0.521 and RSD = 0.562. Statistical analyses indicated that
two of the experiments, entries 1–2of Table 2 were both
determined somewhat aberrantly, that is with high resi-
duals (ymeasuredꢁypredicted). If these were left out before the
estimation of the regression coefficients, the product
statistics indicated a slightly improved model, namely
R2 = 0.813, Q2 = 0.622, RMSEP = 0.431 and RSD =
0.469. However, only minor variations of coefficients
values were observed.
13. Bjørsvik, H.-R.; Liguori, L. Org. Process Res. Dev. 2002,
6, 279–290.
All of the reaction products are known compounds. Iso-
lated products were analyzed by GC19 for impurities and
14. Culbertson, T. P.; Mich, T. F.; Domagala, J. M.; Nichols,
J. B. (Warner-Lambert Co., USA) Patent 14 EP 153163
Chem. Abstr. 1986, 104, 34013.
15. Granzer, E.; Hammann, P.; Kirsch, R. (Hoechst A.-G.,
Germany). Patent EP 431480, Chem. Abstr. 1991, 115,
232218.
1
samples were analyzed by GC–MS, H NMR,20 and by
comparison with authentic samples.
16. Wheeler, T. N.; Craig, T. A.; Morland, R. B.; Ray, J. A.
Synthesis 1987, 10, 883–887.
Acknowledgements
17. Pfirmann, R. D. (Hoechst A.-G., Germany) Patent EP
600317, Chem. Abstr. 1994, 121, 133701.
18. Bjørsvik, H.-R.; Norman, K. Org. Process Res. Dev. 1999,
3, 341–346.
Economic support from the Research Council of
Norway (L.L.), Optimum Accipe and the Norwegian–
Spanish cultural exchange program (J.A.V.M.) is grate-