| 光谱学与光谱分析 |
|
|
|
|
|
| Fresh and Frozen-Thawed Meat Discrimination Based on FISS Imaging Spectral Data |
| ZHANG Xue-wen1, 2, ZHANG Li-fu1*, HUANG Chang-ping1,2, ZHENG Lan-fen1, TONG Qing-xi1 |
1. The State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
|
|
Abstract In the present paper, a self-developed Field imaging spectrometer system (FISS) was used to detect whether pork has been frozen and thawed. The preservation time of fresh pork has also been identified. Fresh and frozen-thawed pork was scanned and imaged and hyperspectral image cubes were acquired using FISS. To eliminate high-frequency random noise and baseline offset and improve the multi-collinearity, all samples were preprocessed by MNF (Minimum noise fraction) transform and first derivative. Multiple analysis models were built by using Wilks’ lambda stepwise method to select proper wavelengths. Fisher LDA (linear discriminant analysis) was performed to discriminate fresh and frozen-thawed pork. Eight selected bands gave 99% correct results of fresh or frozen-thawed pork samples. For the freshness by the day, classification accuracy reached 98% with 6 selected bands, while for the freshness by the hour, classification accuracy reached 93.6% with all 28 selected bands. The results showed that FISS might be used as a screening method to identify the quality of meat.
|
|
Received: 2010-06-28
Accepted: 2010-10-20
|
|
|
|
Corresponding Authors:
ZHANG Li-fu
E-mail: zhanglf@irsa.ac.cn
|
|
[1] Thyholt K, Isaksson T. Journal of the Science and Food Agriculture, 1997, 73: 525.
[2] Boulter J I, Boland G J, Trevors J T. World Journal of Microbiology & Biotechnology, 2000, 16: 115.
[3] Srensen L B. Bulletin of International Institute of Refrigeration, 2002，4: 4.
[4] Duflos G, Le F B, Mulak V, el at. Journal of the Science of Food and Agriculture, 2002, 82: 1341.
[5] LI Min-zan，HAN Dong-hai，WANG Xiu(李民赞，韩东海，王 秀). Spectroscopy and Its Applications(光谱分析技术及其应用). Beijing: Science Press(北京：科学出版社)，2006.
[6] HU Yao-hua, GUO Kang-quan, Suzuki T N, et al(胡耀华, 郭康权, 铃木孝范，等). Journal of Northwest A&F University(Natural Science Edition)(西北农林科技大学学报·自然科学版), 2008, 36(7): 160.
[7] Ripoche A, Guillard A S. Meat Science, 2001, 58(3): 299.
[8] Gonzalez-Martin I, Gonzalez-Perez C, Hernandez-Mendez J, et al. Analytica Chimica Acta, 2002, 468(2): 293.
[9] Gonzalez-Martin I, Gonzalez-Perez C, Alvarez-Garcia N, et al. Meat Science, 3005, 69(2): 243.
[10] Tùgersen G, Arnesen J F, Nilsen B N, et al. Meat Science, 2003, 63: 515.
[11] Anderson N M, Walker P N. Transaction of the ASAE, 2003, 46(1): 117.
[12] Savenije B, Geesink G H, Van Der Palen J G P, et al. Meat Science, 2006, 73(1): 181.
[13] TONG Qing-xi, XUE Yong-qi, WANG Jin-nian, et al(童庆禧，薛永祺，王晋年，等). Journal of Remote Sensing(遥感学报), 2010, 14(3): 416.
[14] ZHANG Liang-pei, ZHANG Li-fu(张良培，张立福). Hyperspectral Remote Sensing(高光谱遥感). Wuhan: Wuhan Univeisity Press(武汉: 武汉大学出版社), 2005.
[15] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fen(童庆禧，张 兵，郑兰芬). Hyperspectral Remote Sensing(高光谱遥感—原理、技术与应用). Beijing: Higher Education Press(北京：高等教育出版社), 2006.
[16] Hunt M C, Acton J C, Benedict R C, el at. Proceedings 44th Reciprocal Meat Conference, 1991, Appendix 1. |
| [1] |
FAN Ping-ping，LI Xue-ying，QIU Hui-min，HOU Guang-li，LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
| [2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
| [3] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [4] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [5] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
| [6] |
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. |
| [7] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
| [8] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
| [9] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
| [10] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
| [11] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
| [12] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
| [13] |
JIN Cui1, 4, GUO Hong1*, YU Hai-kuan2, LI Bo3, YANG Jian-du3, ZHANG Yao1. Spectral Analysis of the Techniques and Materials Used to Make Murals
——a Case Study of the Murals in Huapen Guandi Temple in Yanqing District, Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1147-1154. |
| [14] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
| [15] |
ZHANG Bao-ping1, NING Tian1, ZHANG Fu-rong1, CHEN Yi-shen1, ZHANG Zhan-qin2, WANG Shuang1*. Study on Raman Spectral Characteristics of Breast Cancer Based on
Multivariable Spectral Data Analysis Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 426-434. |
|
|
|
|
