AI Article Synopsis

  • The study used Fourier transform infrared (FTIR) spectroscopy to analyze the diversity of spring leaf samples from seven different varieties of Citrus sinensis (L.) Osbeck.
  • Results indicated that while the FTIR spectra showed similar absorption peaks primarily due to cellulose and polysaccharides, there were differences in peak shapes and absorption intensities, especially noticeable between 1,500 and 700 cm(-1).
  • Hierarchical cluster analysis (HCA) of the second derivative spectra revealed that the citrus varieties could be classified based on their genetic relationships, demonstrating the effectiveness of FTIR spectroscopy and HCA for rapid identification and classification of citrus varieties.

Article Abstract

Researched on diversity of the spring leaf samples of seven different Citrus sinensis (L.) Osbeck varieties by Fourier transform infrared (FTIR) spectroscopy technology, the results showed that the Fourier transform infrared spectra of seven varieties leaves was composited by the absorption band of cellulose and polysaccharide mainly, the wave number of characteristics absorption peaks were similar at their FTIR spectra. However, there were some differences in shape of peaks and relatively absorption intensity. The conspicuous difference was presented at the region between 1 500 and 700 cm(-1) by second derivative spectra. Through the hierarchical cluster analysis (HCA) of second derivative spectra between 1 500 and 700 cm(-1), the results showed that the clustering of the different varieties of Citrus sinensis (L.) Osbeck varieties was classification according to genetic relationship. The results showed that FTIR spectroscopy combined with hierarchical cluster analysis could be used to identify and classify of citrus varieties rapidly, it was an extension method to study on early leaves of varieties orange seedlings.

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