基于智能电子鼻的冰箱冷藏食品新鲜度原位检测技术
|
摘要
为了满足人们对冰箱内食品新鲜度、营养以及安全食品的需求,通过智能电子鼻来检测冰箱冷藏室(4℃)内存储的食品新鲜程度。用于食品检测的电子鼻系统主要由气体传感器阵列和食品新鲜度识别算法组成,可以记录食物不同新鲜度的气味特征。传感器阵列由金属氧化物半导体传感器构成,可以实时记录冰箱中食品的气味变化。同时采用模式识别算法对食品新鲜程度作出新鲜、次新鲜和腐败的区分。针对冰箱中存储的肉类、蔬菜和水果,进行了多种食品实验测试。实验结果表明,开发的电子鼻系统对冰箱内的食品新鲜度变化具有良好的灵敏度。因此,采用电子鼻获取食品的气味变化是一种无损、低成本的检测手段,该技术可以做到实时检测冰箱中食品的新鲜度。
Detection of food freshness in the refrigerator meets the demand for fresh,nutritious and safe food. The freshness of food stored in the refrigerator( 4 ℃) is evaluated with an intelligent electronic nose. The proposed electronic nose system for food detecting is mainly composed of sensor array and food freshness recognition algorithms,which can record different olfactory characteristics of food. The sensor array consists of MOS gas sensor and gas sensor array collects the gas concentration change of the food in the refrigerator. Meanwhile,linear discriminant analysis approach is applied to establish food freshness assessment model and make fresh,semi-fresh and corrupt distinction of food. We perform the experiments on meat,vegetables and fruits in the refrigerator. The present experimental results demonstrate that the developed electronic nose system has good sensitivity to the change of food freshness in the refrigerator. Therefore,the odor changes obtained from electronic nose of food can be used as a non-destructive,low cost detection method for fast and in-situ detecting of food freshness in the refrigerator.
Detection of food freshness in the refrigerator meets the demand for fresh,nutritious and safe food. The freshness of food stored in the refrigerator( 4 ℃) is evaluated with an intelligent electronic nose. The proposed electronic nose system for food detecting is mainly composed of sensor array and food freshness recognition algorithms,which can record different olfactory characteristics of food. The sensor array consists of MOS gas sensor and gas sensor array collects the gas concentration change of the food in the refrigerator. Meanwhile,linear discriminant analysis approach is applied to establish food freshness assessment model and make fresh,semi-fresh and corrupt distinction of food. We perform the experiments on meat,vegetables and fruits in the refrigerator. The present experimental results demonstrate that the developed electronic nose system has good sensitivity to the change of food freshness in the refrigerator. Therefore,the odor changes obtained from electronic nose of food can be used as a non-destructive,low cost detection method for fast and in-situ detecting of food freshness in the refrigerator.
引文
[1] Corbin C,O’quinn T,Garmyn A,et al. Sensory Evaluation of Tender Beef Strip Loin Steaks of Varying Marbling Levels and Quality Treatments[J]. Meat Science,2015,100:24-31.
[2] Dowlati M,Mohtasebi S S,Omid M,et al. Freshness Assessment of Gilthead Sea Bream(Sparus aurata)by Machine Vision Based on Gill and Eye Color Changes[J]. Journal of Food Engineering,2013,119(2):277-287.
[3] 刘亚婷,刘建波,张君才,等. 电子舌及其在食品新鲜度方面的研究进展[J]. 广州化工,2014,42(19):11-12.
[4] 王帅,吕玉祥. 面向食品质量检测的低功耗射频 pH 传感器设计[J]. 传感技术学报,2017(6):956-961.
[5] 宋艳敏,石丽敏,徐瑗聪,等. 利用实时定量 PCR 快速检测冷鲜猪肉新鲜度指标的方法研究[J]. 生物技术通报,2015,31(6):87-92.
[6] Loutfi A,Coradeschi S,Mani G K,et al. Electronic Noses for Food Quality:A Review[J]. Journal of Food Engineering,2015,144:103-111.
[7] Eom K H,Hyun K H,Lin S,et al. The Meat Freshness Monitoring System Using the Smart RFID Tag[J]. International Journal of Distributed Sensor Networks,2014,10(7):591812.
[8] Abbey L,Aked J,Joyce D. Discrimination Amongst Alliums Using an Electronic Nose[J]. Annals of Applied Biology,2001,139(3):337-342.
[9] 惠国华,厉鹏,吴玉玲,等. 基于电子鼻系统的水果腐败过程表征方法[J]. 农业工程学报,2012,28(6):264-268.
[10] 徐静,赵秀洁,孙柯,等. 基于电子鼻和乙醇传感器判别草莓新鲜度的研究[J]. 食品与机械,2016,5:33.
[11] 张军,李小昱,王为,等. 基于虚拟仪器的淡水鱼鲜度电子鼻测量系统[J]. 农业工程学报,2009,25(3):110-113.
[12] 王智凝,郑丽敏,方雄武,等. 电子鼻传感器阵列优化对猪肉新鲜度法的检测[J]. 肉类研究,2015,29(5):27-30.
[13] 彭婧,张顺平,李华曜,等. MOS 气敏传感器阵列优化与工作温度选择[J]. 传感技术学报,2008,21(6):903-907.
[14] Barrett D M,Beaulieu J C,Shewfelt R. Color,Flavor,Texture,and Nutritional Quality of Fresh-Cut Fruits and Vegetables:Desirable Levels,Instrumental and Sensory Measurement,and the Effects of Processing[J]. Critical Reviews in Food Science and Nutrition,2010,50(5):369-389.
[15] Jensen P N,Danielsen B,Bertelsen G,et al. Storage Stabilities of Pork Scratchings,Peanuts,Oatmeal and Muesli:Comparison of ESR Spectroscopy,Headspace-GC and Sensory Evaluation for Detection of Oxidation in Dry Foods[J]. Food Chemistry,2005,91(1):25-38.
[16] 惠国华,吴玉玲,陈裕泉. 基于电子鼻的香蕉储存时间鉴别方法研究[J]. 传感技术学报,2012,25(5):566-570.
[17] 赵镭,刘文,汪厚银. 食品感官评价指标体系建立的一般原则与方法[J]. 中国食品学报,2008,8(3):121-124.
[18] Bernaert N,De Loose M,Van Droogenbroeck B. Antioxidant Capacity of Different Leek Types and the Comparison with Its Related Species[C]//VI International Symposium on Edible Alliaceae 969. 2012:225-231.
[19] 侯俊才,侯莉侠,胡耀华,等. 石英晶体微天平传感器检测香蕉成熟度的试验[J]. 农业工程学报,2014,30(6):256-262.
[20] Monakhova Y B,Godelmann R,Kuballa T,et al. Independent Components Analysis to Increase Efficiency of Discriminant Analysis Methods(FDA and LDA):Application to NMR Fingerprinting of Wine[J]. Talanta,2015,141:60-65.
[2] Dowlati M,Mohtasebi S S,Omid M,et al. Freshness Assessment of Gilthead Sea Bream(Sparus aurata)by Machine Vision Based on Gill and Eye Color Changes[J]. Journal of Food Engineering,2013,119(2):277-287.
[3] 刘亚婷,刘建波,张君才,等. 电子舌及其在食品新鲜度方面的研究进展[J]. 广州化工,2014,42(19):11-12.
[4] 王帅,吕玉祥. 面向食品质量检测的低功耗射频 pH 传感器设计[J]. 传感技术学报,2017(6):956-961.
[5] 宋艳敏,石丽敏,徐瑗聪,等. 利用实时定量 PCR 快速检测冷鲜猪肉新鲜度指标的方法研究[J]. 生物技术通报,2015,31(6):87-92.
[6] Loutfi A,Coradeschi S,Mani G K,et al. Electronic Noses for Food Quality:A Review[J]. Journal of Food Engineering,2015,144:103-111.
[7] Eom K H,Hyun K H,Lin S,et al. The Meat Freshness Monitoring System Using the Smart RFID Tag[J]. International Journal of Distributed Sensor Networks,2014,10(7):591812.
[8] Abbey L,Aked J,Joyce D. Discrimination Amongst Alliums Using an Electronic Nose[J]. Annals of Applied Biology,2001,139(3):337-342.
[9] 惠国华,厉鹏,吴玉玲,等. 基于电子鼻系统的水果腐败过程表征方法[J]. 农业工程学报,2012,28(6):264-268.
[10] 徐静,赵秀洁,孙柯,等. 基于电子鼻和乙醇传感器判别草莓新鲜度的研究[J]. 食品与机械,2016,5:33.
[11] 张军,李小昱,王为,等. 基于虚拟仪器的淡水鱼鲜度电子鼻测量系统[J]. 农业工程学报,2009,25(3):110-113.
[12] 王智凝,郑丽敏,方雄武,等. 电子鼻传感器阵列优化对猪肉新鲜度法的检测[J]. 肉类研究,2015,29(5):27-30.
[13] 彭婧,张顺平,李华曜,等. MOS 气敏传感器阵列优化与工作温度选择[J]. 传感技术学报,2008,21(6):903-907.
[14] Barrett D M,Beaulieu J C,Shewfelt R. Color,Flavor,Texture,and Nutritional Quality of Fresh-Cut Fruits and Vegetables:Desirable Levels,Instrumental and Sensory Measurement,and the Effects of Processing[J]. Critical Reviews in Food Science and Nutrition,2010,50(5):369-389.
[15] Jensen P N,Danielsen B,Bertelsen G,et al. Storage Stabilities of Pork Scratchings,Peanuts,Oatmeal and Muesli:Comparison of ESR Spectroscopy,Headspace-GC and Sensory Evaluation for Detection of Oxidation in Dry Foods[J]. Food Chemistry,2005,91(1):25-38.
[16] 惠国华,吴玉玲,陈裕泉. 基于电子鼻的香蕉储存时间鉴别方法研究[J]. 传感技术学报,2012,25(5):566-570.
[17] 赵镭,刘文,汪厚银. 食品感官评价指标体系建立的一般原则与方法[J]. 中国食品学报,2008,8(3):121-124.
[18] Bernaert N,De Loose M,Van Droogenbroeck B. Antioxidant Capacity of Different Leek Types and the Comparison with Its Related Species[C]//VI International Symposium on Edible Alliaceae 969. 2012:225-231.
[19] 侯俊才,侯莉侠,胡耀华,等. 石英晶体微天平传感器检测香蕉成熟度的试验[J]. 农业工程学报,2014,30(6):256-262.
[20] Monakhova Y B,Godelmann R,Kuballa T,et al. Independent Components Analysis to Increase Efficiency of Discriminant Analysis Methods(FDA and LDA):Application to NMR Fingerprinting of Wine[J]. Talanta,2015,141:60-65.