热成像技术在食品安全控制中的应用

doi:10.7506/spkx1002-6630-201305066

摘要/Abstract

摘要： 热成像技术作为一种方便、快捷、无损的检测技术，在食品安全控制中表现出良好的应用前景。本文在介绍热成像技术基本原理、成像系统以及影响因素的基础上，对热成像技术在食品质量检验、加工参数监控、食品污染物检测等方面的应用进行综述，以期为进一步扩展热成像技术在食品工业中的应用领域提供一定的参考。

关键词: 热成像, 食品质量, 安全, 检测

Abstract: As a convenient, fast, non-destructive testing technique, thermal imaging shows a good prospect in food safety control. Following the introduction of basic principles, imaging systems and influencing factors, this paper reviews its applications in the assessment of food quality, processing parameters and food contaminants, in order to provide a theoretical reference for the further expansion of thermal imaging applications in food industry.

Key words: thermal imaging, food quality, safety, detection

中图分类号:

S886.9

孙玉侠1，荣臻1，王健1，赵国华1,2,*. 热成像技术在食品安全控制中的应用[J]. 食品科学, 2013, 34(5): 318-321.

SUN Yu-xia 1，RONG Zhen1，WANG Jian1，ZHAO Guo-hua1,2,*. Applications of Thermal Imaging in Food Quality and Safety Control[J]. FOOD SCIENCE, 2013, 34(5): 318-321.

参考文献

[1] UMMENHOFER T, MEDGENBERG J. On the use of infrared thermography for the analysis of fatigue damage processes in welded joints[J]. International Journal of Fatigue, 2009, 31(1): 130-137.
[2] TITMAN D J. Applications of thermography in non-destructive testing of structures[J]. NDT & E International, 2001, 34(2): 149-154.
[3] SANCHEZ B M, LESCH M, BRAMMER D, et al. Use of a portable thermal imaging unit as a rapid, quantitative method of evaluating inflammation and experimental arthritis[J]. Journal of Pharmacological and Toxicological Methods, 2008, 57(3): 169-175.
[4] BOUZIDA N, BENDADA A, MALDAGUE X P. Visualization of body thermoregulation by infrared imaging[J]. Journal of Thermal Biology, 2009, 34(3): 120-126.
[5] HANSCH A, HILGER I, FREY O, et al. Near-infrared imaging of flare-up arthritis with native fluorochrome Cy5.5 and albumin-bound Cy5.5[J]. Journal of Experimental Animal Science, 2006, 43(3): 129-139.
[7] WISHART G C, CAMPISI M, BOSWELL M, et al. The accuracy of digital infrared imaging for breast cancer detection in women undergoing breast biopsy[J]. European Journal of Surgical Oncology, 2010, 36(6): 535-540.
[8] LEE D J, SCHOENBERGER R, ARCHIBALD J, et al. Development of a machine vision system for automatic date grading using digital reflective near-infrared imaging[J]. Journal of Food Engineering, 2008, 86(3): 388-398.
[9] MEOLA C, MAIO R D, ROBERTI N, et al. Application of infrared thermography and geophysical methods for defect detection in architectural structures[J]. Engineering Failure Analysis, 2005, 12(6): 875-892.
[10] PEDRESCHI F, SEGTNAN V H, KNUTSEN S H. On-line monitoring of fat, dry matter and acrylamide contents in potato chips using near infrared interactance and visual reflectance imaging[J]. Food Chemistry, 2010, 121(2): 616–620.
[11] RAINWATER-LOVETT K, PACHECO J M, PACKER C, et al. Detection of foot-and-mouth disease virus infected cattle using infrared thermography[J]. The Veterinary Journal, 2009, 180(3): 317-324.
[12] BENNEDSEN B S, PETERSON D L. Performance of a system for apple surface defect identification in near-infrared images[J]. Biosystems Engineering, 2005, 90(4): 419–431.
[13] ElMASRY G, IQBAL A, SUN D W, et al. Quality classification of cooked, sliced turkey hams using NIR hyperspectral imaging system[J]. Journal of Food Engineering, 2011, 103(3): 333-344.
[14] MCCAFFERTY D J, GILBERT C, PATERSON W, et al. Estimating metabolic heat loss in birds and mammals by combining infrared thermography with biophysical modelling[J]. Comparative Biochemistry and Physiology, 2011, 158(3): 337-345.
[15] BOWERS S, GANDY S, ANDERSON B, et al. Assessment of pregnancy in the late-gestation mare using digital infrared thermography[J]. Theriogenology, 2009, 72(3): 372–377.
[16] BOUé C, FOURNIER D. Cost-effective infrared thermography protocol for 40 μm spatial resolution quantitative microelectronic imaging[J]. Infrared Physics &Technology, 2006, 48(2): 122–129.
[17] GOWEN A A, TIWARI B K, CULLEN P J, et al. Applications of thermal imaging in food quality and safety assessment[J]. Trends in Food Science & Technology, 2010, 21(4): 190-200.
[18] WANG S, TANG J, SUN T, et al. Considerations in design of commercial radio frequency treatments for postharvest pest control in in-shell walnuts[J]. Journal of Food Engineering, 2006, 77(2): 304-312.
[19] IBARRA J G, TAO Y, XIN H. Combined IR imaging-neural network method for the estimation of internal temperature in cooked chicken meat[J]. Optical Engineering, 2000, 39(11): 3032-3038.
[20] LINDEN V V, VEREYCKEN R, BRAVO C, et al. Detection technique for tomato bruise damage by thermal imaging[J]. Acta Horticulturae, 2003, 599: 389-394.
[21] COSTA L N, STELLETTA C, CANNIZZO C, et al. The use of thermography on the slaughter-line for the assessment of pork and raw ham quality[J]. Italian Journal of Animal Science, 2007, 6(1): 704-706.
[23] GAN-MOR S, REGEV R, LEVI A, et al. Adapted thermal imaging for the development of postharvest precision steam-disinfection technology for carrots[J]. Postharvest Biology and Technology, 2011, 59(3): 265-271.
[24] 张哲平, 宋小勇, 李云飞. 红外热成像技术在研究不同果蔬真空预冷特性中的应用[J]. 科技通报, 2009, 25(3): 295-299.
[25] 周建民, 周其显. 基于主动热成像技术的苹果早期机械损伤检测[J]. 农机化研究, 2010, 32(8): 162-165.
[26] BULANON D M, BURKS T F, ALCHANATIS V. Study on temporal variation in citrus canopy using thermal imaging for citrus fruit detection[J]. Biosystems Engineering, 2008, 101(2): 161-171.
[27] BULANON D M, BURKS T F, ALCHANATIS V. Image fusion of visible and thermal images for fruit detection[J]. Biosystems Engineering, 2009, 103(1): 12-22.
[28] MANICKAVASAGAN A, JAYAS D S, WHITE N D G. Thermal imaging to detect infestation by Cryptolestes ferrugineus inside wheat kernels[J]. Journal of Stored Products Research, 2008, 44(2): 186-192.
[29] SINGH C B, JAYAS D S, PALIWAL J, et al. Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging[J]. Computers and Electronics in Agriculture, 2010, 73(2): 118-125.
[30] DEANS J, GERHARD J, CARTER L J. Analysis of a thermal imaging method for landmine detection, using infrared heating of the sand surface[J]. Infrared Physics & Technology, 2006, 48(3): 202-216.
[31] BRETT D J L, AGUIAR P, CLAGUE R, Application of infrared thermal imaging to the study of pellet solid oxide fuel cells[J]. Journal of Power Sources, 2007, 166(1):112-119.
[32] KAFIEH R, LOTFI T, AMIRFATTAHI R.Automatic detection of defects on polyethylene pipe welding using thermal infrared
imaging.
[33] 周敏华，陈钱. 医用红外热成像技术的发展[J].红外, 2008, 29(2): 38-42.
[34] 叶雪. 红外热成像现场干扰因素及分析[J].贵州电力技术, 2009,(1):50-52.
[35] WANG J, NAKANO K, OHASHI S. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy[J]. LWT-Food Science and Technology, 2011, 44(4): 1119-1125.
[36] SCHAEFER A L, COOK N J, CHURCH J S, et al. The use of infrared thermography as an early indicator of bovine respiratory disease complex in calves[J]. Research in Veterinary Science, 2007, 83(3): 376-384.
[37] CHELLADURAI V, JAYAS D S, WHITE N D G. Thermal imaging for detecting fungal infection in stored wheat[J]. Journal of Stored Products Research, 2010, 46(3): 174-179.
[38] AROCAS A, SANZ T, HERNANDO M I, et al. Comparing microwave and water bath-thawed starch-based sauces: Infrared thermography, rheology and microstructure[J]. Food Hydrocolloids, 2011, 25(6): 1554-1562.
[39] 吕相银，杨莉.热成像系统中的视在温差研究[J].兵工学报, 2010, 31(8):1059-1062.

[1]	杨慧轩，罗欣，朱立贤，杨啸吟，韩广星，董鹏程，张一敏. 噬菌体在控制肉源致病菌中的应用研究进展[J]. 食品科学, 2021, 42(9): 293-301.
[2]	田林双，顾鹏程，吴存兵，徐澳，豆雪梅，史凤珍，陈飞. 小麦粉及其制品中偶氮甲酰胺检测方法研究进展[J]. 食品科学, 2021, 42(9): 347-354.
[3]	陈选，陈旭，韩金志，汪少芸. 海洋鱼源抗菌肽的研究进展及其在食品安全中的应用前景[J]. 食品科学, 2021, 42(9): 328-335.
[4]	李伊宁，黄昆仑，姚志轶. 用于叶酸检测的荧光传感器构建及应用研究进展[J]. 食品科学, 2021, 42(9): 214-221.
[5]	宁亚维，刘茁，杨正，马俊美，范素芳，李强，张岩. UPLC-MS/MS法同时检测食品中3种主要牛奶过敏原[J]. 食品科学, 2021, 42(8): 270-276.
[6]	王玥，邵琳，李乾学，易乐，曲晗，王洪利，沈明浩. 适配体结合量子点技术同时检测金黄色葡萄球菌和大肠埃希氏菌O157:H7方法[J]. 食品科学, 2021, 42(8): 305-312.
[7]	陈默，张景祥，胡恩华，吴林海，张义. 基于结构化分析和语义相似度的食品安全事件领域数据挖掘模型[J]. 食品科学, 2021, 42(7): 35-44.
[8]	田景升，李东东，赵玲钰，高文惠. 喹乙醇印迹传感器的制备及其在喹噁啉类药物残留快检中的应用[J]. 食品科学, 2021, 42(6): 316-324.
[9]	郎晨晓，张一敏，朱立贤，梁荣蓉，毛衍伟，杨啸吟，韩广星，罗欣，董鹏程. 牛肉低温贮藏环境中沙门氏菌诱导耐酸响应的存在程度及其产生机制[J]. 食品科学, 2021, 42(6): 68-74.
[10]	陈巧莉，杨兵，洪晴悦，魏鲟钰，方楚楚，阚建全. 海洋生物毒素的分类、毒害作用机制及检测技术研究进展[J]. 食品科学, 2021, 42(5): 321-331.
[11]	骆靖阳，陆柏益. 基于文献计量学的食品大数据技术研究分析[J]. 食品科学, 2021, 42(5): 278-287.
[12]	刘娜，曹强，肖雨诗，黄蓉，程雷，刘欢，韩刚，李晋成，李梦龙，吴立冬. 基于多巴胺及其衍生物的传感器在食品快速检测中的研究进展[J]. 食品科学, 2021, 42(5): 332-339.
[13]	赵非，陈宝英，李克峰，王旭. 高效液相色谱-荧光检测法测定红肉及其加工肉中唾液酸含量[J]. 食品科学, 2021, 42(4): 313-318.
[14]	黄佳茵，周雅琪，陈美玉，李苑，吴甜甜，胡亚芹. 基于甲基纤维素改性聚乙烯醇指示膜的制备、表征及对南美白对虾的鲜度指示[J]. 食品科学, 2021, 42(3): 194-203.
[15]	吴有雪，吴美娇，田亚晨，王政，郭亮，刘程，方水琴，刘箐. 沙门氏菌检测生物传感器研究进展[J]. 食品科学, 2021, 42(3): 339-345.