摘要
目的了解济南市售海参与鲍鱼中5种有害元素和7种有益元素的含量,从元素含量角度对其污染情况和营养价值进行评价。方法在济南市场随机抽取海参和鲍鱼样品各80例,微波消解后用原子吸收法与原子荧光法检测12种元素含量。用单因子污染指数法,评价其有害元素的污染程度;通过营养素参考值,评价其营养元素的营养价值。结果济南市售海参与鲍鱼中有害元素Pi均<1,含量均未超标。干海参中Fe、Se、Mn、Ca、Mg,活海参的Se、Mg,干鲍鱼中Fe、Cu、Zn、Se、Ca、Mg以及活鲍鱼的Fe、Cu、Se、Mg的NRV%>15%。其中,海参和鲍鱼中Se的NRV%最高。结论济南市售的海参与鲍鱼五种有害元素污染较轻,食用安全性较好。海参和鲍鱼营养价值高,多种营养元素含量较高。海参和鲍鱼是Se、Mg、Ca、Fe、Cu等多种营养元素较好的饮食来源。
Objective To detect the contents of five harmful and seven nutritional elements in the sea cucumber and abalone in Jinan markets,and to evaluate the pollution situation and the nutritional value from the angle of the contents of elements. Methods 80 sea cucumbers and 80 abalones were randomly collected from markets in Jinan. The twelve elements were determined by Atomic Absorption Spectrometry and Atomic Fluorescence Spectrometry,after the digestion by microwave. The pollution situation for the sea cucumber and abalone was assessed with the single factor pollution index method,and the nutritional value of nutritional elements was evaluated with nutrient reference values. Results The contents both in sea cucumber and abalone had not exceeded the allowed standards with Pi of harmful elements less than 1. The NRV% of Fe,Se,Mn,Ca,Mg in the dry sea cucumbers and the NRV% of Se and Mg in the live sea cucumbers are more than 15%. The NRV% of Fe,Cu,Zn,Se,Ca,Mg in the dry abalones and the NRV% of Fe,Cu,Se,Mg in the live abalones are more than 15%. Among them,the NRV% of Se is highest in these seven nutritional elements of the sea cucumber and abalone. Conclusion The five kinds of harmful elements of sea cucumber and abalone sold in Jinan markets are less polluted,and the food safety is better. The sea cucumbers and abalones are of high nutritional value,and the contents of nutritional elements are high. The sea cucumbers and abalones are good sources of nutritional elements such as Se,Mg,Ca,Fe,Cu.
出处
《中国城乡企业卫生》
2018年第1期22-25,共4页
Chinese Journal of Urban and Rural Enterprise Hygiene
关键词
海参
鲍鱼
元素
单因子污染指数法
营养参考值
Sea cucumber
Abalone
Elements
Single factor pollution index method
Nutrient reference values
