光谱学与光谱分析 |
|
|
|
|
|
Commercial Orange Juice Beverages Detection by Fluorescence Spectroscopy Combined with PCA-ED and PLSR Methods |
HU Yang-jun, ZHU Chun, CHEN Guo-qing*, ZHANG Yong, KONG Fan-biao, LI Run, ZHU Zhuo-wei, WANG Xu, GAO Shu-mei |
School of Science, Jiangnan University, Wuxi 214122, China |
|
|
Abstract In order to classify the orange juice beverages effectively,the fluorescence character differences of two kinds of orange juice beverages including 100% orange juice and orange drink were analyzed and compared,principal component analysis combined with Euclidean distance was adopted to classify two kinds of orange juice beverages, and ideal classification results were obtained. Meanwhile, the orange juice content estimation model was established by using fluorescence spectroscopy combined with partial least squares regression method, and the correlation coefficient R, root mean square error of calibration RMSEC and root mean square error of prediction RMSEP were 0.997, 0.87% and 2.05%, respectively. The experimental results indicate that the calibration model offers comparatively accurate content estimation, which reflect the actual orange juice content in the commercial orange juice beverages. The exploration to classify orange juice beverages was carried out from two aspects of qualitative and quantitative analysis by employing fluorescence spectroscopy combined with chemometrics method,which can provide a new idea for the classification and adulteration detection of commercial orange juice beverages, and also can give certain reference basis for the quality control of orange juice raw material.
|
Received: 2013-07-17
Accepted: 2013-11-08
|
|
Corresponding Authors:
CHEN Guo-qing
E-mail: cgq2098@163.com
|
|
[1] CHEN Yu-feng, ZHUANG Zhi-ping(陈玉峰,庄志萍). Journal of Anhui Agricultural Science(安徽农业科学), 2011, 39(1): 236. [2] National Standard of the People’s Republic of China(中华人民共和国国家标准). GB/T 16771, Determination of Juice Content in Orange, Tangerine Juice and Their Drinks(橙、柑、桔汁及其饮料中果汁含量的测定),1997. [3] National Standard of the People’s Republic of China(中华人民共和国国家标准). GB/T 12143. General Analytical Methods for Beverage(饮料通用分析方法), 2008. [4] YANG Xiu-jia, WU Hou-jiu(杨秀佳,吴厚玖). Science and Technology of Food Industry(食品工业科技), 2010, 31(1): 384. [5] HU Meng-kun,CEN Qin,LI Dan(胡梦坤,岑 琴,李 丹). Agricultural Science & Technology and Equipment(农业科技与装备), 2012, 7: 76. [6] Guanghou Shui, LaiPeng Leong. Journal of Chromatography A, 2002, 977(1): 89. [7] Saavedra L, Garcia A, Barbas C. Journal of Chromatography A, 2000, 881(9): 395. [8] WU Ji-jun, XIAO Geng-sheng, CHEN Wei-dong, et al(吴继军,肖更生,陈卫东, 等). Science and Technology of Food Industry(食品工业科技), 2003, 24(8): 96. [9] Pandey Kiran, Pradhan Asima, Agarwal Asha. The Journal of Obstetrics and Gynecology of India, 2012, 62(4): 432. [10] Jami H Goldman, Stewart A Rounds, Joseph A Needoba. Environmental Science & Technology, 2012, 46(8): 4374. [11] SHI Xian-he, WU Yan-wen, HOU Min, et al(施显赫, 武彦文, 侯 敏,等). Modern Instruments(现代仪器), 2012, 18(3): 6. [12] Nadezhda A Stoilova, Andriana R Surleva, Georgi Stoev. Food Analytical Methods, 2013, 6(3): 803. [13] Pu Yang, Wang Wubao, Robert R Alfano. Applied Spectroscopy, 2013, 67(2): 210. [14] CAO Jia-jia(曹佳佳). Identification and Quantitative Analysis in Natural Products by Fluorescence Spectroscopy(荧光光谱法用于天然产物的鉴别和定量分析). Guangzhou: Guangdong University of Technology(广州: 广东工业大学), 2010. [15] HU Yang-jun, CHEN Guo-qing, ZHU Chun, et al(胡扬俊,陈国庆,朱 纯,等). Chinese Journal of Luminescence(发光学报),2013, 34(8): 1066. [16] KONG Fan-biao, CHEN Guo-qing, HUANG Qi-feng, et al(孔凡标,陈国庆,黄奇峰, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(1): 126. |
[1] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
[2] |
GU Yi-lu1, 2,PEI Jing-cheng1, 2*,ZHANG Yu-hui1, 2,YIN Xi-yan1, 2,YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
[3] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[4] |
WANG Hong-jian1, YU Hai-ye1, GAO Shan-yun1, LI Jin-quan1, LIU Guo-hong1, YU Yue1, LI Xiao-kai1, ZHANG Lei1, ZHANG Xin1, LU Ri-feng2, SUI Yuan-yuan1*. A Model for Predicting Early Spot Disease of Maize Based on Fluorescence Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3710-3718. |
[5] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[6] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2,WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
[7] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
[8] |
LI Xiao-li1, WANG Yi-min2*, DENG Sai-wen2, WANG Yi-ya2, LI Song2, BAI Jin-feng1. Application of X-Ray Fluorescence Spectrometry in Geological and
Mineral Analysis for 60 Years[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2989-2998. |
[9] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
[10] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[11] |
JIA Yu-ge1, YANG Ming-xing1, 2*, YOU Bo-ya1, YU Ke-ye1. Gemological and Spectroscopic Identification Characteristics of Frozen Jelly-Filled Turquoise and Its Raw Material[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2974-2982. |
[12] |
YANG Xin1, 2, XIA Min1, 2, YE Yin1, 2*, WANG Jing1, 2. Spatiotemporal Distribution Characteristics of Dissolved Organic Matter Spectrum in the Agricultural Watershed of Dianbu River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2983-2988. |
[13] |
CHEN Wen-jing, XU Nuo, JIAO Zhao-hang, YOU Jia-hua, WANG He, QI Dong-li, FENG Yu*. Study on the Diagnosis of Breast Cancer by Fluorescence Spectrometry Based on Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2407-2412. |
[14] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
[15] |
LIU Xian-yu1, YANG Jiu-chang1, 2, TU Cai1, XU Ya-fen1, XU Chang3, CHEN Quan-li2*. Study on Spectral Characteristics of Scheelite From Xuebaoding, Pingwu County, Sichuan Province, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2550-2556. |
|
|
|
|