Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
Quantitative assessment of in vivo distribution of nanoplastics in bivalve Ruditapes philippinarum using reliable SERS tag-labeled nanoplastic models | |
Du, Hongyu1,2; Wang, Yunqing1,3,4![]() ![]() ![]() | |
Source Publication | NANOSCALE
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ISSN | 2040-3364 |
2022-06-01 | |
Volume | 14Issue:21Pages:7807-7816 |
DOI | 10.1039/d2nr00157h |
Abstract | Nanoplastics (NPs) as emerging marine pollutants can be taken up by seafood organisms. It is crucial to quantitatively assess NP's distribution behavior in organisms to elucidate concentration dependent biological effects. Such a knowledge gap has remained due to the lack of reliable NP models and analytical methods. Herein, surface enhanced Raman scattering (SERS)-labeled NP models were developed and their bioavailability, distribution and accumulation in Ruditapes philippinarum, a typical marine bivalve, were quantitatively studied. Taking advantage of the sensitive and characteristic SERS signals of the NP models, distribution could be quickly and accurately obtained by the Raman imaging technique. Moreover, quantitative analysis of NPs could be performed by the detection of gold element contents via inductively coupled plasma mass spectroscopy (ICP-MS) detection. ICP-MS results revealed that after 3 days exposure of monodispersed NPs (100 nm, 0.2 mg L-1), the digestive gland accumulated 86.7% of whole-body NPs followed by gill (5.2%), mantle (5.1%), foot (1.3%), exhalant siphon (1.1%), and adductor (0.6%). Upon 11 days depuration, 98.7% of NPs in the digestive gland were excreted, whereas the clearance ratios in other organs were much lower. NP aggregates (around 1.5 mu m) demonstrated similar distribution and clearance trends to the monodispersed ones. However, the accumulation amount in each organ was 15.2% to 77.6% lower. Surface adherence and passive ingestion routes resulted in NP accumulation, which contributed to the comparable NP abundance in these organs. Additionally, boiling treatment (mimicking a cooking process) did not decrease the NP amount in these organs. This work provided a dual-mode and quantitative analysis protocol for NPs for the first time, and suggested the risk of NP uptake by humans via bivalve seafood diets. |
Indexed By | SCI |
Language | 英语 |
WOS Keyword | MICROPLASTICS ; INGESTION ; MUSSEL ; IMPACTS |
WOS Research Area | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
WOS ID | WOS:000797959900001 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.yic.ac.cn/handle/133337/31072 |
Collection | 中科院海岸带环境过程与生态修复重点实验室 中科院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心 |
Corresponding Author | Wang, Yunqing; Chen, Lingxin |
Affiliation | 1.Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Shandong Key Lab Coastal Environm Proc, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 4.Binzhou Med Univ, Sch Pharm, Yantai 264003, Peoples R China 5.Qingdao Univ Technol, Sch Environm & Municipal Engn, Qingdao 266033, Peoples R China 6.Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China |
Recommended Citation GB/T 7714 | Du, Hongyu,Wang, Yunqing,Zhang, Panpan,et al. Quantitative assessment of in vivo distribution of nanoplastics in bivalve Ruditapes philippinarum using reliable SERS tag-labeled nanoplastic models[J]. NANOSCALE,2022,14(21):7807-7816. |
APA | Du, Hongyu.,Wang, Yunqing.,Zhang, Panpan.,Mei, Rongchao.,Ji, Yunxia.,...&Chen, Lingxin.(2022).Quantitative assessment of in vivo distribution of nanoplastics in bivalve Ruditapes philippinarum using reliable SERS tag-labeled nanoplastic models.NANOSCALE,14(21),7807-7816. |
MLA | Du, Hongyu,et al."Quantitative assessment of in vivo distribution of nanoplastics in bivalve Ruditapes philippinarum using reliable SERS tag-labeled nanoplastic models".NANOSCALE 14.21(2022):7807-7816. |
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