{'fraction_non_alphanumeric': 0.026886383347788378, 'fraction_numerical': 0.023417172593235037, 'mean_word_length': 5.204301075268817, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Fourier-Transform Infrared Spectroscopy for Discrimination of
Cynomorium songaricum Inflorescence Samples from Different Origins

Cynomorium songaricum Rupr. has been used as a medicinal tonic in China for thousands of years.
The Fourier-transform infrared (FT-IR) spectroscopy and second-derivative infrared (SD-IR)
spectroscopy were used to study 200 samples of C. songaricum inflorescence collected at 20 sites in
four different regions. A resemblance was found among the FT-IR spectra of samples from different
origins and developed an IR fingerprint spectrum. The main absorption peaks in the range 1800-1200
cm-1 suggests that C. songaricum inflorescences may be rich in phenolic compounds, proteins and
flavonoids. The SD-IR spectra of samples from different origins revealed an obvious intensity differences
for peaks in the range 1800-1200 cm-1, especially for samples from Gansu province of China. An
origin discrimination model based on principal component analysis is established. The prediction
accuracy of the model is 87.25%. The results indicated that our origin discrimination model can
differentiate production areas for C. songaricum.