食用油脂鉴伪技术研究进展
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摘要
近年来,地沟油事件多次引起人们对我国食品安全现状的担忧。由于缺乏有效的食用油脂中地沟油鉴别检测技术,制约着相关方面的食品安全监管和预警体系建设。由于地沟油通常是作为一种添加物掺入食用油脂中,更有甚者,地沟油渣直接冒充正常油脂流向餐桌,因此食用油脂鉴伪技术研究对地沟油的检测有较大借鉴作用。基于此,该文对近几年来食用油脂鉴伪技术研究进展进行综述。
In recent years,the "illegal cooking oil" incidents caused many people's concerns to the present situation of food safety in our country. Due to the lack of effective identification and detection techniques of illegal cooking oil in edible oils and fats,it restricts the relevant aspects of food safety supervision and warning system. Illegal cooking oil is usually as a component incorporated into edible oils,and what is more,Illegal cooking oil directly impersonates the normal oil to flow oil. Based on this,this article reviewed the research progress of edible oil authenticity assessment technology in recent years.
In recent years,the "illegal cooking oil" incidents caused many people's concerns to the present situation of food safety in our country. Due to the lack of effective identification and detection techniques of illegal cooking oil in edible oils and fats,it restricts the relevant aspects of food safety supervision and warning system. Illegal cooking oil is usually as a component incorporated into edible oils,and what is more,Illegal cooking oil directly impersonates the normal oil to flow oil. Based on this,this article reviewed the research progress of edible oil authenticity assessment technology in recent years.
引文
[1]吴静珠,刘翠玲,李慧,等.基于近红外光谱的纯花生油掺伪快速鉴别方法研究[J].北京工商大学学报:自然科学版,2011(1):75―78.
[2]孙通,胡田,许文丽,等.基于UVE–GA变量优选的山茶油可见/近红外光谱掺假鉴别[J].中国油脂,2013(10):75―79.
[3]李宗朋,王健,张晓磊,等.基于近红外光谱技术的沙棘籽油鉴伪方法研究[J].中国油脂,2014(2):57―62.
[4]Javidnia K,Parish M,Karimi S,et al.Discrimination of edible oils and fats by combination of multivariate pattern recognition and FT–IR spectroscopy:A comparative study between different modeling methods[J].Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2013,104:175―181.
[5]杨冬燕,李浩,杨永存,等.基于傅里叶变换红外光谱1 120cm–1~1 097 cm–1波段吸收峰差异鉴别地沟油[J].中国卫生检验杂志,2014(06):765―768.
[6]邓平建,李浩,杨冬燕,等.拉曼光谱―聚类分析法快速鉴别掺伪花生油[J].食品安全质量检测学报,2014(9):2689―2696.
[7]王红,付晓华,王利军,等.应用激光拉曼光谱法检查核桃油的掺假[J].理化检验:化学分册,2014(1):23―26.
[8]吴鼎,海然,刘平,等.基于激光诱导击穿光谱地沟油鉴别的初步探究[J].科学通报,2014,21:2071―2076.
[9]吴卫国,刘真知,彭思敏,等.基于特征脂肪酸及脂肪酸比值的食用植物油掺假判别[J].食品科学,2013(16):270―273.
[10]胡艳云,徐慧群,宋伟,等.天然姜油掺假的气相色谱―质谱定性鉴别[J].食品科学,2014(6):176―179.
[11]赵海香,任荷玲,许秀丽,等.应用脂肪酸甲酯快速筛选植物油中掺假地沟油[J].食品科学,2014(16):148―152.
[12]Tu Dawei,Li Hong,Wu Zhen,et al.Application of headspace solid–phase microextraction and multivariate analysis for the differentiation between edible oils and waste cooking oil[J].Food Analytical Methods,2014,7(6):1263―1270.
[13]王乐,黎勇,胡健华.核磁共振法鉴别食用植物油掺伪餐饮业废油脂[J].中国油脂,2008(10):75―77.
[14]赵婷婷,王欣,卢海燕,等.基于低场核磁共振(LF–NMR)弛豫特性的油脂品质检测研究[J].食品工业科技,2014(12):58―65.
[15]Zhang Qing,Ahmed S M Saleh,Shen Qun.Discrimination of edible vegetable oil adulteration with used frying oil by low field nuclear magnetic resonance[J].Food and Bioprocess Technology,2013,6(9):2562―2570.
[16]贾洪锋,邓红,梁爱华.电子鼻在芝麻油掺芝麻油香精识别中的应用[J].中国粮油学报,2013(08):83―86.
[17]Escuderosa María E,María Garcíab,Antonio Jiméneza,et al.Edible and non–edible olive oils discrimination by the application of a sensory olfactory system based on tin dioxide sensors[J].Food Chemistry,2013,136:1154―1159.
[18]崔之益,易立飒,李文锋,等.基于电导率变化的油茶籽油掺假鉴别方法探讨[J].中国油脂,2014(4):67―70.
[19]张冰,章颖强,魏佳莉,等.基于介电谱法的油茶籽油掺伪检测方法研究[J].中国粮油学报,2012(12):111―115,121.
[20]王丹,赵琳娜,胡凤月,等.实时荧光聚合酶链式反应检测食用大豆油中动物源成分[J].食品科学,2013(14):298―300.
[21]王德莲,覃芳芳,曾国权,等.PCR方法检测花生油掺假研究[J].粮食与油脂,2014(6):56―59.
[22]王晶晶,傅春玲.Taqman荧光PCR技术在地沟油猪源性成分检测中的应用初探[J].大家健康:学术版,2014(3):5―9.
[23]Zhang Hailiang,Wu Yajun,Li Yuanyuan,et al.PCR–CE–SSCP used to authenticate edible oils[J].Food Control,2012,27(2):322―329.
[2]孙通,胡田,许文丽,等.基于UVE–GA变量优选的山茶油可见/近红外光谱掺假鉴别[J].中国油脂,2013(10):75―79.
[3]李宗朋,王健,张晓磊,等.基于近红外光谱技术的沙棘籽油鉴伪方法研究[J].中国油脂,2014(2):57―62.
[4]Javidnia K,Parish M,Karimi S,et al.Discrimination of edible oils and fats by combination of multivariate pattern recognition and FT–IR spectroscopy:A comparative study between different modeling methods[J].Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2013,104:175―181.
[5]杨冬燕,李浩,杨永存,等.基于傅里叶变换红外光谱1 120cm–1~1 097 cm–1波段吸收峰差异鉴别地沟油[J].中国卫生检验杂志,2014(06):765―768.
[6]邓平建,李浩,杨冬燕,等.拉曼光谱―聚类分析法快速鉴别掺伪花生油[J].食品安全质量检测学报,2014(9):2689―2696.
[7]王红,付晓华,王利军,等.应用激光拉曼光谱法检查核桃油的掺假[J].理化检验:化学分册,2014(1):23―26.
[8]吴鼎,海然,刘平,等.基于激光诱导击穿光谱地沟油鉴别的初步探究[J].科学通报,2014,21:2071―2076.
[9]吴卫国,刘真知,彭思敏,等.基于特征脂肪酸及脂肪酸比值的食用植物油掺假判别[J].食品科学,2013(16):270―273.
[10]胡艳云,徐慧群,宋伟,等.天然姜油掺假的气相色谱―质谱定性鉴别[J].食品科学,2014(6):176―179.
[11]赵海香,任荷玲,许秀丽,等.应用脂肪酸甲酯快速筛选植物油中掺假地沟油[J].食品科学,2014(16):148―152.
[12]Tu Dawei,Li Hong,Wu Zhen,et al.Application of headspace solid–phase microextraction and multivariate analysis for the differentiation between edible oils and waste cooking oil[J].Food Analytical Methods,2014,7(6):1263―1270.
[13]王乐,黎勇,胡健华.核磁共振法鉴别食用植物油掺伪餐饮业废油脂[J].中国油脂,2008(10):75―77.
[14]赵婷婷,王欣,卢海燕,等.基于低场核磁共振(LF–NMR)弛豫特性的油脂品质检测研究[J].食品工业科技,2014(12):58―65.
[15]Zhang Qing,Ahmed S M Saleh,Shen Qun.Discrimination of edible vegetable oil adulteration with used frying oil by low field nuclear magnetic resonance[J].Food and Bioprocess Technology,2013,6(9):2562―2570.
[16]贾洪锋,邓红,梁爱华.电子鼻在芝麻油掺芝麻油香精识别中的应用[J].中国粮油学报,2013(08):83―86.
[17]Escuderosa María E,María Garcíab,Antonio Jiméneza,et al.Edible and non–edible olive oils discrimination by the application of a sensory olfactory system based on tin dioxide sensors[J].Food Chemistry,2013,136:1154―1159.
[18]崔之益,易立飒,李文锋,等.基于电导率变化的油茶籽油掺假鉴别方法探讨[J].中国油脂,2014(4):67―70.
[19]张冰,章颖强,魏佳莉,等.基于介电谱法的油茶籽油掺伪检测方法研究[J].中国粮油学报,2012(12):111―115,121.
[20]王丹,赵琳娜,胡凤月,等.实时荧光聚合酶链式反应检测食用大豆油中动物源成分[J].食品科学,2013(14):298―300.
[21]王德莲,覃芳芳,曾国权,等.PCR方法检测花生油掺假研究[J].粮食与油脂,2014(6):56―59.
[22]王晶晶,傅春玲.Taqman荧光PCR技术在地沟油猪源性成分检测中的应用初探[J].大家健康:学术版,2014(3):5―9.
[23]Zhang Hailiang,Wu Yajun,Li Yuanyuan,et al.PCR–CE–SSCP used to authenticate edible oils[J].Food Control,2012,27(2):322―329.