China Dairy ›› 2022, Vol. 0 ›› Issue (12): 104-109.doi: 10.12377/1671-4393.22.12.20

• DAIRY INDUSTRY • Previous Articles     Next Articles

Evaluation of Uncertainty of Arachidonic Acid Content in Infant Formula by Gas Chromatography

GE Cuicui1, WANG Wenxiang2, WU Shuxia1, ZHANG Huijun3, WANG Xiao1, QIN Yunhua1, WANG Jing1   

  1. 1Zhejiang Gongzheng Testing Center Co.,Ltd.,Hangzhou Zhejiang 310009;
    2Zanyu Technology Group Co.,Ltd.,Hangzhou Zhejiang 310009;
    3CCIC Australia-New Zealand PTY Ltd.,Sydney-Auckland 2220
  • Online:2022-12-25 Published:2023-01-10

PDF (PC)

25

Abstract: As an optional ingredient commonly added to infant formula,arachidonic acid （ARA） is also a necessary item in the food safety test of infant formula. To analyze the content uncertainty of ARA in infant formula by gas chromatography,the uncertainty components was assessed through the determination of the process of repeated measurement,the preparation of sample,the preparation of standard solutions and testing instruments according to regulation of Evaluation and Expression of Uncertainty in Measurement. The synthetic uncertainty was 2.73%,and the expanded uncertainty was 5.46%. The content of ARA in infant formula was （0.264±0.007）g （k=2）. The results showed that the uncertainty of the measurement results of ARA content in infant formula mainly came from the repeated determination of sample （2.68% uncertainty of component）, the influence of standard solution （0.40% uncertainty of component） and the sample treatment （0.31% uncertainty of component）,while the influence of gas chromatography instrument （0.00002% uncertainty of component）was the least. In the detection process, he uncertainty brought by the manual operation of the experimenter has the greatest impact on the accuracy of the detection results,and second focus is on standard solution preparation and sample handling.

Key words: infant formula, arachidonic acid （ARA）, uncertainty, gas chromatography

[1] 钱继红,吴圣楣,张伟利,等. 含二十二碳六烯酸和花生四烯酸的配方奶对婴儿生长发育的研究[J]. 实用儿科临床杂志,2000,15(5):256-257.
[2] 袁成凌,姚建铭,余增亮. 花生四烯酸及其代谢物的生物学作用[J]. 中国药物化学杂志,2000,10(1):75-78.
[3] 中华人民共和国国家卫生健康委员会,国家市场监督管理总局. GB 10765-2021. 食品安全国家标准婴儿配方食品[S].
[4] 胡玥明,孙桂菊,姚宏亮. 花生四烯酸在婴幼儿配方奶粉中的国际使用情况综述[C]. 中国营养学会第十四届全国营养科学大会暨第十一届亚太临床营养大会,2019(9):420.
[5] 李敏,邹志飞,黄华军,等. 婴幼儿配方奶粉中添加可选择性成分的调查分析[J]. 中国酿造,2014(8):24-28.
[6] 翟洪稳,范素芳,王娟,等. 测量不确定度在食品检验中的应用及进展[J]. 食品科学,2021,42(5):314-320.
[7] 中华人民共和国国家卫生和计划生育委员会,国家食品药品监督管理总局. GB5009.168-2016. 食品安全国家标准食品中脂肪酸的测定[S].
[8] 国家质量监督检验检疫总局. JJF1059.1-2012. 测量不确定度评定与表示[S].
[9] 李永凯,张凤枰,廖利民,等. 裂殖壶菌培养物中二十二碳六烯酸含量的测量不确定度评定[J]. 食品研究与开发,2018,39(5):147-151.
[10] 张方圆,王李平,潘云山,等. 婴幼儿乳粉中二十碳四烯酸和二十二碳六烯酸的测量不确定度评定[J]. 中国乳品工业,2021,49(8):55-59.
[11] 陈蕊,李杰,吉雪. 气相色谱法测定调制乳中环己基氨基磺酸钠的测量不确定度评定[J]. 现代食品,2019(23):179-192.
[12] 张喜金,苏昭仑,黄康惠. 气相色谱法测定藻油中DHA含量的不确定度的评定[J]. 食品安全质量检测学报,2015,6(8):3149-3154.
[1] HEYing, CAO Xuesi, JI Kunfa, YANG Aijun, CHEN Xin, CHEN Chunyu. Uncertainty Evaluation for the Determination of Furosine in Milk by HPLC [J]. China Dairy, 2022, 0(9): 71-80.
[2] CUI Chengyuan. Verification of Determination Method of Cholesterol in Milk Powder [J]. China Dairy, 2022, 0(8): 65-69.
[3] WANG Fang, BAO Yihong, LAN Huijuan. Study on the Stability of Vitamin D3 InInfant Formula Milk Powder under Different Storage Conditions [J]. China Dairy, 2022, 0(7): 65-69.
[4] WANG Fang, BAO Yihong, CHEN Chen. Study on Lutein Content in Infant Milk Powder Under Different Treatment Conditions [J]. China Dairy, 2022, 0(3): 76-80.
[5] LIU Baohua, XU Qingli, SUN Xinyao, DU Lingling, BA Ningning. Study on the Stability of Nutrients in Infant Formula [J]. China Dairy, 2022, 0(3): 85-93.
[6] YANG Kai, ZHANG Tianbo, LI Zhaoxu. Research Status of 3-Chloropropanol Esters and Glycidyl Ester in Infant Foods [J]. China Dairy, 2022, 0(2): 81-88.
[7] HUANG Zhong, LIANG Yiyi. Optimization of Determination of Inositol in Milk and Its Products by Gas Chromatography [J]. China Dairy, 2022, 0(2): 89-93.
[8] CHEN Chunyu, JI Kunfa, HE Ying, YANG Aijun. Uncertainty Evaluation in Determination of Solubility in Milk Powder Quality Control Samples [J]. China Dairy, 2022, 0(12): 110-114.
[9] GU Shenglin, XIA Yawen, XU Qiong. Assessment on Uncertainty of Staphylococcus Aureus Count in Milk Powder [J]. China Dairy, 2022, 0(12): 115-119.
[10] YANG Feifei, XU Shirui, HU Yaqian, LING Nan. Nutritional Research and Market Analysis of Liquid Infant Formula [J]. China Dairy, 2022, 0(11): 105-110.
[11] YANG Meifeng, JI Kunfa, HE Ying, YANG Aijun. Evaluation of Uncertainty for Determination of Nitrite Content in Milk by Spectrophotometry [J]. China Dairy, 2022, 0(10): 82-89.
[12] CUI Chengyuan. Evaluation of Measurement Uncertainty of 1,3-dioleic acid-2-palmitic acid Triglyceride in Infant Formula [J]. China Dairy, 2022, 0(1): 63-68.
[13] CHEN Chen. Evaluation of Uncertainty of Lutein Content in Infant Formula Milk Powder [J]. China Dairy, 2021, 0(8): 107-112.
[14] WU SiMin, YAN JiaJun, HUANG ZhongBiao. Uncertainty Evaluation for the Determination of Folic Acid in Infant Formula by Microbiological Methods [J]. China Dairy, 2021, 0(7): 91-97.
[15] WU Shumin, LIN Mudi. Evaluation of Uncertainty of Plate Counting Method for Coliform Bacteria in Milk [J]. China Dairy, 2021, 0(7): 98-101.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © 2018 Editorial Board of China Dairy
Powered by Beijing Magtech Co. Ltd