热带病与寄生虫学
熱帶病與寄生蟲學
열대병여기생충학
TROPICAL DISEASES AND PARASITOLOGY
2014年
1期
47-49
,共3页
杨林飞%胡卓%方英%钟燕%胡迎春%张建华
楊林飛%鬍卓%方英%鐘燕%鬍迎春%張建華
양림비%호탁%방영%종연%호영춘%장건화
高效液相色谱法%2- 2- 噻唑偶氮%5一二乙氨基酚%金属元素
高效液相色譜法%2- 2- 噻唑偶氮%5一二乙氨基酚%金屬元素
고효액상색보법%2- 2- 새서우담%5일이을안기분%금속원소
High performance liquid chromatographic method%2- 2 Lhiazole azo%5- two amino phenol%Metal element
目的:验证用反相高效液相色谱法同时测定食品中的几种金属元素的效果。方法用2-2-噻唑偶氮,5-二乙氨基酚为柱前衍生试剂,甲醇(内含0.30%磷酸酸)和pH4.6磷酸-磷酸钠缓冲溶液梯度洗脱为流动相,Waters Nova- Pak-18液相色谱柱为固定相。紫外二极管矩阵检测器检测,反相高效液相色谱法分离测定食品中铁、钴、镍、铜、锌和锰。结果根据信噪S/N=4.0各种金属离子的检测限分别为:铁4.0μg/L,钴5.0/Lμg,镍4.8μg/L ,铜3.0μg/L,锌4.8μg/L,锰6.0μg/L,本方法相对标准偏差在2.0%~3.8%之间,标准回收率在95%~108%。结论本方法可用于食品中痕量铁、钴、镍、铜、锌、锰的测定,结果令人满意。
目的:驗證用反相高效液相色譜法同時測定食品中的幾種金屬元素的效果。方法用2-2-噻唑偶氮,5-二乙氨基酚為柱前衍生試劑,甲醇(內含0.30%燐痠痠)和pH4.6燐痠-燐痠鈉緩遲溶液梯度洗脫為流動相,Waters Nova- Pak-18液相色譜柱為固定相。紫外二極管矩陣檢測器檢測,反相高效液相色譜法分離測定食品中鐵、鈷、鎳、銅、鋅和錳。結果根據信譟S/N=4.0各種金屬離子的檢測限分彆為:鐵4.0μg/L,鈷5.0/Lμg,鎳4.8μg/L ,銅3.0μg/L,鋅4.8μg/L,錳6.0μg/L,本方法相對標準偏差在2.0%~3.8%之間,標準迴收率在95%~108%。結論本方法可用于食品中痕量鐵、鈷、鎳、銅、鋅、錳的測定,結果令人滿意。
목적:험증용반상고효액상색보법동시측정식품중적궤충금속원소적효과。방법용2-2-새서우담,5-이을안기분위주전연생시제,갑순(내함0.30%린산산)화pH4.6린산-린산납완충용액제도세탈위류동상,Waters Nova- Pak-18액상색보주위고정상。자외이겁관구진검측기검측,반상고효액상색보법분리측정식품중철、고、얼、동、자화맹。결과근거신조S/N=4.0각충금속리자적검측한분별위:철4.0μg/L,고5.0/Lμg,얼4.8μg/L ,동3.0μg/L,자4.8μg/L,맹6.0μg/L,본방법상대표준편차재2.0%~3.8%지간,표준회수솔재95%~108%。결론본방법가용우식품중흔량철、고、얼、동、자、맹적측정,결과령인만의。
Objective To verify the effect of reversed phase high performance liquid chromatographic method for the detection of several kinds of metal elements in food. Methods 2- 2 Lhiazole azo, 5- two amino phenol were used as pre column derivative reagent, methanol (conLaining0.30% phosphoric acid ) and pH4.6 phosphoric acid- sodium phosphate buffer solution were used as the mobile phase gradient elution, Waters Nova- Pak- 18 liquid chromatography column was used as stationary phase. UV diode array detector and reversed phase high performance liquid chromatographic method were used to separate and detect the iron, cobalt, nickel, copper, zinc and manganese in food. Results According to the letter S/ N = 4, the detection limit of the metal ions of iron, cobalt, nickel, copper, zinc and manganese was 4.0 μg/L, 5.0μg/L, 4.8μg/ L, 3.0μg/ L, 4.8μg/ L, 6.0μg/ L, respectively. The relative standard deviation was 2.0%~3.8%, standard recovery rate was 95%- 108%. Conclusion The method can be used to detect the trace of iron, cobalt, nickel, copper, zinc, manganese in food with satisfactory results.