Yoshinaga J, Li J Z, Suzuki T, Karita K, Abe M, Fujii H, Mishina J, Morita M
Department of Human Ecology, School of Health Sciences, Faculty of Medicine, University of Tokyo, Japan.
Biol Trace Elem Res. 1991 Nov;31(2):159-70. doi: 10.1007/BF02990424.
Multielement analysis was performed on human milk collected on 5-9-d postpartum from 51 Japanese females using inductively coupled plasma (ICP) mass spectrometry (MS), ICP atomic emission spectrometry (ICP-AES) and fluorometry. Thirty-one elements were detected by these analytical methods in milk. Twelve elements (Na, Mg, P, S, K, Ca, Cu, Zn, Se, Sr, Rb, and Mo) were detected in all of the samples. Al, Cs, and Ba were the elements detected by ICP-MS in more than half of the samples. Multiple regression analysis extracted biological attributes of mother and infant, such as maternal stature, maternal wt, or infant's birth wt, as statistically significant factors contributing to the variation in elemental concentration in milk. However, the rates of contribution were small in all cases. It was concluded that the biological attributes of mother and infant examined in this study were not the major factors that contribute to elemental variation in human milk.
使用电感耦合等离子体质谱法（ICP-MS）、电感耦合等离子体原子发射光谱法（ICP-AES）和荧光分析法，对51名日本女性产后5至9天采集的母乳进行了多元素分析。通过这些分析方法在母乳中检测到了31种元素。所有样本中均检测到12种元素（钠、镁、磷、硫、钾、钙、铜、锌、硒、锶、铷和钼）。铝、铯和钡是通过ICP-MS在半数以上样本中检测到的元素。多元回归分析提取了母亲和婴儿的生物学属性，如母亲身高、母亲体重或婴儿出生体重，作为导致母乳中元素浓度变化的统计学显著因素。然而，在所有情况下贡献率都很小。得出的结论是，本研究中检测的母婴生物学属性不是导致母乳中元素变化的主要因素。
