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Study on Infrared Spectra of Citrus grandis Peels from Guangxi Zhuang Autonomous Region
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作者 Chenyan LIANG Xu FENG +2 位作者 Hanshen ZHEN Jinying NIU Rui GUO 《Agricultural Biotechnology》 CAS 2012年第4期25-27,共3页
[ Objective ] This study aimed to establish the infrared (IR) spectra fingerprints for peels of Citrus grandis from Guangxi Zhuang Autonomous Region. [ Method ] The fingerprint was established by fourier transform i... [ Objective ] This study aimed to establish the infrared (IR) spectra fingerprints for peels of Citrus grandis from Guangxi Zhuang Autonomous Region. [ Method ] The fingerprint was established by fourier transform infrared spectroscopy ( FT-IR), and then were analyzed by Omic software. [ Result ] IR spectra fin- gerprint of C. grand/s were successfully established. There were six common peaks in the characteristic spectra of 12 samples. [ Conclusion] The specific, rapid and stable method can be applied to quality control of C. grandis. 展开更多
关键词 Citrus grandis (L.) peels SIMILARITY infrared fingerprint
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Study on Infrared Fingerprint of Cryptolepis buchananii Roem. et Schult.
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作者 Chenyan LIANG Lu ZHANG +2 位作者 Li WANG Yunli TANG Hanshen ZHEN 《Agricultural Biotechnology》 CAS 2019年第6期92-94,共3页
[Objectives] This study was conducted to establish the infrared fingerprint of Cryptolepis buchananii Roem. et Schult. [Methods] Ten batches of C. buchananii from different habitats were determined by Fourier transfor... [Objectives] This study was conducted to establish the infrared fingerprint of Cryptolepis buchananii Roem. et Schult. [Methods] Ten batches of C. buchananii from different habitats were determined by Fourier transform infrared spectroscopy. The experimental data were clustered by Omic software and Ward method. [Results] The infrared fingerprints of C. buchananii were obtained, and the similarity was all greater than 0.9. [Conclusions] The established method has good stability and controllability and can be used for the identification of C. buchananii. 展开更多
关键词 Cryptolepis buchananii Roem.et Schult. infrared fingerprint SIMILARITY Cluster analysis
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