Based on our deconvolution result of the Tetraphenyl porphyrin nuclear magnetic resonance (NMR) spectrum, we initiated a goodness-of-fitting evaluation by overlaying the third-order derivatives of the native NMR spectrum and the entire reconstructed spectrum to appraise the accuracy of the reverse curve fitting method. Then, the same NMR overlapping band was deconvoluted by even-order derivatives and Fourier self-deconvolution, respectively. The reverse curve fitting demonstrated its superior achievements to the other two methods in the comparative assessment. Meanwhile, three traditional window functions (Bessel, Hamming, and 3-term Blackman–Harris) were examined for their apodization effects which will benefit reverse curve fitting performance.
Chen et al. (Thu,) studied this question.
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