Direct Visualization and Quantification of Maternal Transfer of Silver Nanoparticles in Zooplankton

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)10763-10771
Journal / PublicationEnvironmental Science & Technology
Volume54
Issue number17
Online published31 Jul 2020
Publication statusPublished - 1 Sep 2020

Abstract

The immense application of silver nanoparticles (AgNPs) in biomedical fields is likely to increase the exposure of humans. However, little is known about whether these nanoparticles can be maternally transferred, especially regarding their biodistribution in the younger generation, maternal transfer efficiency, and toxic effects. In the present study, maternal transfer of AgNPs in model zooplankton (Daphnia magna) was for the first time visualized and quantified. We found that AgNPs were transferred from mother to offspring and mainly accumulated in the lipids due to the strong colocalization with lipid droplets, which were the major energy sources of Daphnia embryos. In contrast, Ag+ was irregularly distributed in different sites, probably due to the mobility and reactivity of Ag+. The maternal transfer efficiency quantified by the radiolabeling methodology was 2.37 ± 0.25 and 6.05 ± 0.89% for 110mAgNPs and 110mAg, respectively. Furthermore, AgNPs and Ag+ significantly inhibited the reproduction capability of F0 and F1 generations, but such maternal toxic effect inhibition was only found within the first two broods of F0 and F1 generations. Our bioimaging findings demonstrated that AgNPs could be maternally transferred to the next generation; thus, it is critical to produce AgNPs with lower toxic effects, higher delivery efficacy, and more precise targeting.

Citation Format(s)

Direct Visualization and Quantification of Maternal Transfer of Silver Nanoparticles in Zooplankton. / Yan, Neng; Tsim, Synn Man Jennifer; He, Xuewen; Tang, Ben Zhong; Wang, Wen-Xiong.

In: Environmental Science & Technology, Vol. 54, No. 17, 01.09.2020, p. 10763-10771.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review