光谱学与光谱分析 |
|
|
|
|
|
Aging Process of Puer Black Tea Studied by FTIR Spectroscopy Combined with Curve-Fitting Analysis |
LI Dong-yu1, SHI You-ming1*, YI Shi-lai2 |
1. College of Physics and Electronic Engineering, Qujing Normal University, Qujing 655011, China 2. Citrus Research Institute, Southwest University-China Academy of Agricultural Sciences, Chongqing 400712, China |
|
|
Abstract For better determination of the chemical components in the Puer black tea, Fourier transform infrared spectroscopy was used for obtaining vibrational spectra of Puer black tea at different aging time. Fourier transform infrared (FTIR) spectra indicated that the chemical components had change in Puer black tea at different aging time. The leaf of Puer black tea was a complex system, its Fourier transform infrared spectrum showed a total overlap of each absorption spectrum of various components. Each band represented an overall overlap of some characteristic absorption peaks of functional groups in the Puer black tea. In order to explore the change of characteristic absorption peaks of functional groups with aging time, the prediction positions and the number of second peaks in the range of 1 900~900 cm-1 were determined by Fourier self-deconvolution at first, and later the curve fitting analysis was performed in this overlap band. At different aging time of Puer black tea, the wave number of second peaks of amide Ⅱ, tea polyphenol, pectin and polysaccharides at overlap band were assigned by curve fitting analysis. The second peak at 1 520 cm-1 was characteristic absorption band of amide Ⅱ, the second peaks of tea polyphenol and pectin appeared at 1 278 and 1 103 cm-1 respectively. Two second peaks at 1 063 and 1 037 cm-1, corresponds mainly to glucomannan and arabinan. The relative area of these second peaks could be indicated the content of protein, tea polyphenol, pectin and polysaccharides in the Puer black tea. The results of curve fitting analysis showed that the relative area of amide Ⅱ was increasing first and then decreasing, it indicated the change of protein in Puer black tea. At the same time, the content of tea polyphenol and pectin were decreased with the increase of aging time, but the glucomannan and arabinan were increased in reverse. It explained that the bitter taste was become weak and a sweet taste appeared in the tea with the increase of aging time. The present study suggested that Fourier transform infrared spectroscopy combined with curve-fitting analysis could reveal the biochemical changed of Puer black tea with the increase of aging time, and it was evidence for evaluation the quality of Puer black tea.
|
Received: 2014-04-04
Accepted: 2014-08-15
|
|
Corresponding Authors:
SHI You-ming
E-mail: sym8295@163.com
|
|
[1] ZHOU Hong-jie(周红杰). Yunnan Puer Tea(云南普洱茶). Kunming: Yunnan Science and Technology Press(昆明:云南科学技术出版社), 2004. [2] ZHAO Jie-wen,CHEN Quan-sheng(赵杰文,陈全胜). Tea Quality of Safety Detection and Analysis Method(茶叶质量与安全检测技术及分析方法). Beijing: China Light Industry Press(北京:中国轻工业出版社), 2011. [3] Schulz H, Baranska M. Vibrational Spectroscopy, 2007, 43(1): 13. [4] Xu L, Deng D H, Cai C B. Journal of Agricultural and Food Chemistry, 2011, 59(19): 10461. [5] ZHAO Xiao-hui, NIE Zhi-chu, ZHANG Lian-shui, et al(赵晓辉, 聂志矗, 张连水,等). Acta Optica Sinica(光学学报), 2009, 29(2): 533. [6] Zhao Z Y, Huangfu L T, Dong L L, et al. Industrial Crops and Products, 2014, 58(7): 31. [7] Wang Y F, Xian J H, Xi X G, et al. Carbohydrate Polymers, 2013, 92(1): 583. [8] Kathleen M G, Lsan T, Marzena Z K, et al. Vibrational Spectroscopy, 2011, 53(1): 71. [9] Sevgi T G, Musa D, Feride S. Applied Spectroscopy, 2007, 61(3): 300. [10] Michael F, Pascale C, Michael F C. Carbohydrate Polymers, 2012, 87(2): 1124. [11] Akar E, Altinisik A, Seki Y. Ecological Engineering, 2013, 52(3): 19. [12] Pielesz A. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2012, 93(7): 63. [13] Rasha M S, Ibrahim A, Ishak A, et al. Carbohydrate Polymers, 2012, 88(2): 772. [14] Zhang G C, Lin H L, Lin S Y. Journal of Pharmaceutical and Biomedical Analysis, 2012, 66(7): 162. [15] Chen X Y, Ru Y, Chen F L, et al. Food Hydrocolloids, 2013, 31(2): 435. |
[1] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[2] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
[3] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
[4] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
[5] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
[6] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
[7] |
FENG Yu, ZHANG Yun-hong*. Rapid ATR-FTIR Principal Component Analysis of Commercial Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 838-841. |
[8] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
[9] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
[10] |
QIAO Lu1, LIU Rui-na1, ZHANG Rui1, ZHAO Bo-yu1, HAN Pan-pan1, 2, ZHOU Chun-ya1, 3, ZHANG Yu-qing1, 4, DONG Cheng-ming1*. Analysis of Spectral Characteristics of Soil Under Different Continuous Cropping of Rehmannia Glutinosa Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 541-548. |
[11] |
CHEN Yong1, 2, GUO Yun-zhu1, WANG Wei3*, WU Xiao-hong1, 2*, JIA Hong-wen4, WU Bin4. Clustering Analysis of FTIR Spectra Using Fuzzy K-Harmonic-Kohonen Clustering Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 268-272. |
[12] |
HU Yun-you1, 2, XU Liang1*, XU Han-yang1, SHEN Xian-chun1, SUN Yong-feng1, XU Huan-yao1, 2, DENG Ya-song1, 2, LIU Jian-guo1, LIU Wen-qing1. Adaptive Matched Filter Detection for Leakage Gas Based on Multi-Frame Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3307-3313. |
[13] |
JING Jian-yuan, YUAN Liang, ZHANG Shui-qin, LI Yan-ting, ZHAO Bing-qiang*. Multispectral Structural Characterization of Humic Acid-Enhanced Urea[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2610-2615. |
[14] |
LI Shu-jie1, LIU Jie1, DENG Zi-ang1, OU Quan-hong1, SHI You-ming2, LIU Gang1*. Study of Germinated Rice Seeds by FTIR Spectroscopy Combined With Curve Fitting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1832-1840. |
[15] |
ZHA Ling-ling1, 2, 3, WANG Wei2*, XIE Yu1, SHAN Chang-gong2, ZENG Xiang-yu2, SUN You-wen2, YIN Hao2, HU Qi-hou2. Observation of Variations of Ambient CO2 Using Portable FTIR
Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1036-1043. |
|
|
|
|