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| Discrimination of Common Wild Mushrooms by FTIR and Two-Dimensional Correlation Infrared Spectroscopy |
| MA Dian-xu1, LIU Gang1*, OU Quan-hong1, YU Hai-chao1, LI Hui-mei1, SHI You-ming2 |
1. School of Physics and Electronic Information, Yunnan Normal University, Yunnan Key Lab of Optoelectronic Information, Kunming 650500, China
2. School of Physics and Electronic Engineering, Qujing Normal University, Qujing 655011, China |
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Abstract Fourier Transform Infrared Spectroscopy combined with correlation analysis, second derivative infrared spectroscopy and two-dimensional correlation infrared spectroscopy was used to discriminate 13 species of wild mushrooms. The results showed that the general characteristics of absorption bands in the original spectra were similar, which were mainly composed of protein and polysaccharides. Correlation analysis was applied for the spectra of samples, and the correlation coefficient between Termitomyces eurrhizus and Tylopilus plumbeoviolaceoides was 0.779, which was the minimum, while the correlation coefficient between Pleurotus lignatilis Gill and Hygrophorus lucorum Kalchbr was 0.960, which was the maximum. Coprinus comatus had little correlation with other samples. The differences of intensity, position and shape were observed in second derivative spectra in the range of 1 700～1 400 and 1 400～800 cm-1. In two-dimensional correlation spectra, the differences of the position or form of auto-peaks and cross peaks have been found in the range of 1 380~1 680 cm-1. The number, position and intensity of auto-peaks and cross peaks were obviously different in the range of 920~1 230 cm-1. The study demonstrates that Fourier Transform Infrared spectroscopy combined with correlation analysis, second derivative infrared spectroscopy and two-dimensional correlation infrared spectroscopy might be developed as a rapid method to discriminate different kinds of mushrooms.
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Received: 2016-04-03
Accepted: 2016-10-30
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Corresponding Authors:
LIU Gang
E-mail: gliu66@163.com
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[1] MAO Xiao-lan(卯晓岚). The Macrofungi in China(中国大型真菌). Zhengzhou: Henan Science and Technology Press(郑州: 河南科学技术出版社), 2000.
[2] DAI Yu-cheng，TOLGOR Bao(戴玉成，图力古尔). Illustrations of Edible and Medicinal Fungi in Northeastern China(中国东北野生食药用真菌图志). Beijing: Science Press(北京: 科学出版社), 2007.
[3] Roncero-Ramos I, Delgado-Andrade C. Current Opinion in Food Science, 2017, 14: 122.
[4] Kosanic′ M, Rankovic′ B, Ranc′ic′ A, et al. Journal of Food and Drug Analysis, 2016, 24: 477.
[5] Lumpert M, Kreft S. Journal of Ethnopharmacology, 2016, 187: 1.
[6] Du X H, Zhao Q, Xu J P, et al. Scientific Reports, 2016, 6: 22434.
[7] Schoch C L, Seifert K A, Huhndorf S, et al. Proc. Natl. Acad. Sci. USA, 2012, 109: 6241.
[8] Malheiro R, Pinho P G D, Soares S, et al. Food Research International, 2013, 54(1): 186.
[9] ZHOU Zai-jin, LIU Gang, REN Xian-pei(周在进, 刘 刚, 任先培). Laser & Infrared(激光与红外), 2009, 39(11): 1158.
[10] Gan J H, Xu C H, Zhu H Z, et al. Chinese Chemical Letters, 2015, 2(2): 215.
[11] Chen X, Keong C Y, Mei X, et al. Spectrochimica Acta A, 2014, 124(8): 528.
[12] Choong Y K, Lan J, Han L L, et al. Spectrochimica Acta A, 2016, 152: 34.
[13] MA Dian-xu, LIU Gang, OU Quan-hong, et al(马殿旭, 刘 刚, 欧全宏, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(8): 2479.
[14] LI Hui-mei, LIU Gang, MA Dian-xu, et al(李会梅, 刘 刚, 马殿旭, 等). Optics & Optoelectronic Technology(光学与光电技术), 2015, 13(5): 58.
[15] YU Hai-chao, LIU Gang, OU Quan-hong, et al(于海超, 刘 刚, 欧全宏, 等). Hubei Agricultural Sciences(湖北农业科学), 2016, 55(19): 4995.
[16] MA Dian-xu, LIU Gang, YU Hai-chao, et al(马殿旭, 刘 刚, 于海超, 等). The Journal of Light Scattering(光散射学报), 2015, 27(4): 390.
[17] REN Jing, LIU Gang, OU Quan-hong, et al(任 静，刘 刚，欧全宏，等). Hubei Agricultural Sciences(湖北农业科学), 2016, 55(19): 1277.
[18] YU Hai-chao, LIU Gang, OU Quan-hong, et al(于海超, 刘 刚, 欧全宏, 等). Laser & Optoelectronic Progress(激光与光电子学进展), 2016, 53: 053003-1.
[19] MA Dian-xu(马殿旭). Study on Two Dimensional Correlation Infrared Spectra of Mushrooms(Master’s Thesis)(蘑菇的二维相关红外光谱研究). Yunnan Normal University(云南师范大学)，2016.
[20] Choong Y K, Sun S Q, Zhou Q, et al. Journal of Molecular Structure, 2014, 1069: 60.
[21] SUN Su-qin, ZHOU Qun, QIN Zhu(孙素琴, 周 群, 秦 竹). Atlas of Two-dimensional Correlation Infrared Spectroscopy for Traditional Chinese Medicine Identification(中药二维相关红外光谱鉴定图集). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2003. |
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