|
|
|
|
|
|
| Progress in Terahertz Technique for Quality Inspection of Agro-Food Products |
| LUO Na1, 2, WANG Dong1, 2, WANG Shi-fang1, 2, HAN Ping1, 2* |
1. Beijing Research Center for Agricultural Standards and Testing, Beijing 100097, China
2. Risk Assessment Lab for Agro-Products (Beijing), Ministry of Agriculture, Beijing 100097, China |
|
|
|
|
Abstract The safety and quality of agro-food has attracted increasing attentions. Due to the problems of traditional detection methods, such as being time-consuming, operation complicated, solvent-consuming and high-cost, it is essential to develop rapid and non-destructive detection methods. Terahertz(THz) ,which lies between the mid-infrared and microwave ranges, has unique properties such as transient, transmission, broadband, coherence and low-energy. THz wave can indicate structures and characteristics of many biomolecules, and be used in the quantitative and qualitative analysis of organic biomolecules as “fingerprint”. Therefore, compared with other spectroscopy techniques such as NIR, Raman and X-ray, THz has become an extremely competitive tool for agri-food products inspection. In this paper, the characteristics of THz wave and the principles of THz spectroscopy and imaging technique were introduced at first. Then THz data analysis process and the commonly used methods in its main steps were given, in which the quantitative and qualitative model construction and evaluation were emphatically introduced. Thirdly, the application and research progress of THz technique in the agro-food quality inspection which contains the detection of pesticide residues, antibiotic, toxins, identification of adulteration、transgenetic agro-food and foreign body, and prediction of the content of nutrient contents were discussed. Finally，the challenges that THz technique in the agro-food quality detection has to face were discussed systematically, based on which the research directions were pointed out, and the future outlook for THz technique was also discussed. The published literatures have indicated that THz technique is an effective solution in the agro-food quality inspection, especially THz wave can penetrate many commonly used nonpolar dielectric materials, which gives it superiorities in detection of packaged agro-food products. With the development of information technology, such as machine learning and intensive learning, on one hand, the THz data analysis technique needs to be strengthened. Through data self-learning, we can reveal the scientific rule from the data point of view, and build an analytical model with higher accuracy, lower computation cost, stronger real-time performance and better generalization ability. On the other hand, based on molecular vibration theory and combined with knowledge of chemistry and Physics, the mechanism of the terahertz spectroscopic characteristics is studied, which can be used in the model construction. Thereby through the combination of these two sides, the soft power of the terahertz will be improved. Meanwhile developing cost-effective and portable THz spectrometer with high sensitivity is a future research trend. It is expected that the application of terahertz technique will gradually begin from the laboratory state to the engineer application.
|
|
Received: 2018-01-31
Accepted: 2018-05-10
|
|
|
|
Corresponding Authors:
HAN Ping
E-mail: hanping1016@163.com
|
|
[1] Wang K, Sun D W, Pu H, et al. Trends in Food Science & Technology, 2017, 67: 207.
[2] Yang Y, Zhuang H, Yoon S C, et al. Food Chemistry, 2018, 244: 184.
[3] Ai Y J, Liang P, Wu Y X, et al. Food Chemistry, 2018, 241: 427.
[4] Markiewicz-Keszycka M, Cama-Moncunill X, Casado-Gavalda M P, et al. Trends in Food Science & Technology, 2017, 65: 80.
[5] Temiz H T, Tamer U, Berkkan A, et al. Talanta, 2017, 167: 557.
[6] Kamruzzaman M, Makino YOshita S. Anal. Chim. Acta, 2015, 853: 19.
[7] Yaseen T, Sun D W, Cheng J H. Trends in Food Science & Technology, 2017, 62: 177.
[8] Nielsen M S, Lauridsen T, Christensen L B, et al. Food Control, 2013, 30(2): 531.
[9] Marcone M F, Wang S, Albabish W, et al. Food Research International, 2013, 51(2): 729.
[10] Pickwell E Wallace V P. Journal of Physics D: Applied Physics, 2006, 39(17): R301.
[11] YANG Guang-kun, YUAN Bin, XIE Dong-yan, et al(杨光锟, 袁 斌, 谢东彦, 等). Laser & Infrared(激光与红外), 2011，(4): 376.
[12] DAI Ning, GE Jin, HU Shu-hong, et al(戴 宁, 葛 进, 胡淑红, 等). Journal of China Academy of Electronics and Information Technology(中国电子科学研究院学报), 2009，(3): 231.
[13] LI Hai-tao, WANG Xin-ke, MU Kai-jun, et al(李海涛, 王新柯, 牧凯军, 等). Laser & Infrared (激光与红外), 2007，(9): 876.
[14] Walther M, Plochocka P, Fischer B, et al. Biopolymers, 2002, 67(4-5): 310.
[15] Xu W, Xie L, Zhu J, et al. Food Chem., 2017, 218: 330.
[16] Redo-Sanchez A, Salvatella G, Galceran R, et al. Analyst, 2011, 136(8): 1733.
[17] Xu W, Xie L, Ye Z, et al. Sci. Rep., 2015, 5: 11115.
[18] LI Xiang-jun, YANG Xiao-jie, LIU Jian-jun(李向军, 杨晓杰, 刘建军). Journal of Optoelectronics·Laser (光电子·激光), 2015，(1): 135.
[19] Shiraga K, Ogawa Y, Kondo N, et al. Food Chem., 2013, 140(1-2): 315.
[20] Jepsen P U, Cooke D G, Koch M. Laser & Photonics Reviews, 2011, 5(1): 124.
[21] Hu B, Nuss M. Opt. Lett., 1995, 20(16): 1716.
[22] Chen Z, Zhang Z, Zhu R, et al. Journal of Quantitative Spectroscopy and Radiative Transfer, 2015, 167: 1.
[23] Qin B, Li Z, Luo Z, et al. Optical and Quantum Electronics, 2017, 49(7): 244.
[24] Liu J. Optical and Quantum Electronics, 2017, 49(1): 1.
[25] Lu S, Zhang X, Zhang Z, et al. Food Chem., 2016, 211: 494.
[26] Zou Y, Sun P, Liu W. International Conference on Infrared. Millimeter and Terahertz Waves, 2015.
[27] Chen T, Li Z, Mo W. Spectrochim Acta A Mol Biomol Spectrosc, 2013, 106: 48.
[28] Liu W, Liu C, Hu X, et al. Food Chem., 2016, 210: 415.
[29] Ge H, Jiang Y, Lian F, et al. Food Chem., 2016, 209: 286.
[30] Ma Y, Wang Q, Li L. Journal of Quantitative Spectroscopy and Radiative Transfer, 2013, 117: 7.
[31] HU Xiao-hua, LIU Wei, LIU Chan-hong, et al(胡晓华, 刘 伟, 刘长虹, 等). Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2017，(9): 302.
[32] Qin B, Li Z, Chen T, et al. Optik-International Journal for Light and Electron Optics, 2017, 142: 576.
[33] Suhandy D, Yulia M, Ogawa Y, et al. IEEE/SICE International Symposium on System Integration，2012, 6(6): 202.
[34] Maeng I, Baek S H, Kim H Y, et al. J. Food Prot., 2014, 77(12): 2081.
[35] HUANG Yi-hu, LUAN Hao-jie, LIU Shu-quan, et al(黄翼虎, 栾浩杰, 刘淑泉, 等). Journal of Qingdao University of Science and Technology·Natural Science Edition(青岛科技大学学报·自然科学版), 2015，(5): 482.
[36] Baek S H, Ju H K, Hwang Y H, et al. Journal of Infrared Millimeter & Terahertz Waves, 2016, 37(5): 486.
[37] Butaye P, Devriese L AHaesebrouck F. Antimicrobial Agents & Chemotherapy, 2001, 45(5): 1374.
[38] Qin J, Xie L, Ying Y. Food Chem., 2015, 170: 415.
[39] Qin J, Xie L, Ying Y. Food Chem., 2016, 211: 300.
[40] Qin J, Xie L, Ying Y. Food Chem, 2017, 224: 262.
[41] Chen M, Xie L. Transactions of the ASABE, 2015, 57(6): 1793.
[42] FU Xiu-hua, LI Wen-da, XIA Yan, et al(付秀华, 李闻达, 夏 燚, 等). Journal of the Chinese Cereals and Oils Association(中国粮油学报), 2013，(3): 110.
[43] Zhan H, Xi J, Zhao K, et al. Food Control, 2016, 67: 114.
[44] ZHANG Fang, LIU Li-ping, SONG Mao-jiang, et al(张 放, 刘丽萍, 宋茂江, 等). Laser & Optoelectronics Progress(激光与光电子学进展), 2017，(3): 308.
[45] SHEN Xiao-chen, LI Bin, LI Xia, et al(沈晓晨, 李 斌, 李 霞, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2017，(S1): 288.
[46] Liu J, Li Z, Hu F, et al. Journal of Applied Spectroscopy, 2015, 82(1): 104.
[47] Liu J, Luo J, Li P, et al. Journal of Applied Spectroscopy, 2017, 84(2): 346.
[48] Lee Y K, Choi S W, Han S T, et al. J. Food Prot., 2012, 75(1): 179.
[49] Ok G, Kim H J, Chun H S, et al. Food Control, 2014, 42: 284.
[50] Shin H J, Choi S-WOk G. Food Chemistry, 2018, 245: 282.
[51] YAN Wei, MA Miao, DAI Ze-lin, et al(闫 微, 马 淼, 戴泽林, 等). Acta Physica Sinica(物理学报), 2017，(3): 037801.
[52] Naito H, Ogawa Y, Shiraga K, et al. IEEE/SICE International Symposium on System Integration，2011: 192.
[53] Suhandy D, Yulia M, Ogawa Y, et al. Engineering in Agriculture, Environment and Food, 2013, 6(3): 111.
[54] Liu H, Shi T, Chen Y, et al. Remote Sensing, 2017, 9(1): 29.
[55] Ren H, Lin W, Shi W, et al. Analytical Letters, 2014, 47(15): 2548.
[56] Xie L, Gao W, Shu J, et al. Sci. Rep., 2015, 5: 8671. |
| [1] |
GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3. Early Classification and Detection of Kiwifruit Soft Rot Based on
Hyperspectral Image Band Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 241-249. |
| [2] |
MU Da1, 2, WANG Qi-shu1, 2*, CUI Zong-yu1, 2, REN Jiao-jiao1, 2, ZHANG Dan-dan1, 2, LI Li-juan1, 2, XIN Yin-jie1, 2, ZHOU Tong-yu3. Study on Interference Phenomenon in Terahertz Time Domain
Spectroscopy Nondestructive Testing of Glass Fiber Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3031-3040. |
| [3] |
CAI Jian-rong1, 2, HUANG Chu-jun1, MA Li-xin1, ZHAI Li-xiang1, GUO Zhi-ming1, 3*. Hand-Held Visible/Near Infrared Nondestructive Detection System for Soluble Solid Content in Mandarin by 1D-CNN Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2792-2798. |
| [4] |
YU Yang1, ZHANG Zhao-hui1, 2*, ZHAO Xiao-yan1, ZHANG Tian-yao1, LI Ying1, LI Xing-yue1, WU Xian-hao1. Effects of Concave Surface Morphology on the Terahertz Transmission Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2843-2848. |
| [5] |
TANG Ruo-han1, 2, LI Xiu-hua1, 2*, LÜ Xue-gang1, 2, ZHANG Mu-qing2, 3, YAO Wei2, 3. Transmittance Vis-NIR Spectroscopy for Detecting Fibre Content of
Living Sugarcane[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2419-2425. |
| [6] |
LUO Zheng-fei1, GONG Zheng-li1, 2, YANG Jian1, 2*, YANG Chong-shan2, 3, DONG Chun-wang3*. Rapid Non-Destructive Detection Method for Black Tea With Exogenous Sucrose Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2649-2656. |
| [7] |
ZHANG Yue1, 2, LI Yang1, 2, SONG Yue-peng1, 2*. Nondestructive Detection of Slight Mechanical Damage of Apple by Hyperspectral Spectroscopy Based on Stacking Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2272-2277. |
| [8] |
CHU Zhi-hong1, 2, ZHANG Yi-zhu2, QU Qiu-hong3, ZHAO Jin-wu1, 2, HE Ming-xia1, 2*. Terahertz Spectral Imaging With High Spatial Resolution and High
Visibility[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 356-362. |
| [9] |
SHENG Qiang1, 2, ZHENG Jian-ming1*, LIU Jiang-shan2, SHI Wei-chao1, LI Hai-tao2. Advances and Prospects in Inner Surface Defect Detection Based on Cite Space[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 9-15. |
| [10] |
ZHU Jin-yan, ZHU Yu-jie*, FENG Guo-hong*, ZENG Ming-fei, LIU Si-qi. Optimization of Near-Infrared Detection Model of Blueberry Sugar Content Based on Deep Belief Network and Hybrid Wavelength Selection Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3775-3782. |
| [11] |
WANG Wei, LI Yong-yu*, PENG Yan-kun, YANG Yan-ming, YAN Shuai, MA Shao-jin. Design and Experiment of a Handheld Multi-Channel Discrete Spectrum Detection Device for Potato Processing Quality[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3889-3895. |
| [12] |
LU Xue-jing1, 2, GE Hong-yi2, 3, JIANG Yu-ying2, 3, ZHANG Yuan3*. Application Progress of Terahertz Technology in Agriculture Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3330-3335. |
| [13] |
LI Ming1*, HAN Dong-hai2*, LU Ding-qiang1, LU Xiao-xiang1, CHAI Chun-xiang1, LIU Wen3, SUN Ke-xuan1. Research Progress of Universal Model of Near-Infrared Spectroscopy in Agricultural Products and Foods Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3355-3360. |
| [14] |
JIN Cheng-qian1, 2, GUO Zhen1, ZHANG Jing1, MA Cheng-ye1, TANG Xiao-han1, ZHAO Nan1, YIN Xiang1. Non-Destructive Detection and Visualization of Soybean Moisture Content Using Hyperspectral Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3052-3057. |
| [15] |
ZHANG Xu1, YAN Yue-er1*, ZHANG Chun-mei2*, YANG Guang-hui1, TANG Yi3. Non-Destructive Analysis of Yan’an Red Literature by FTIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3097-3102. |
|
|
|
|
