The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science-Reference-Cited by-同舟云学术

The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science

Published:2021 Issue:48 Volume:11 Page:30426-30447
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Kikuchi Jun¹²³^ORCID,Yamada Shunji¹⁴⁵^ORCID

Affiliation:

1. Environmental Metabolic Analysis Research Team, RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan

2. Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan

3. Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan

4. Prediction Science Laboratory, RIKEN Cluster for Pioneering Research, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe 650-0047, Japan

5. Data Assimilation Research Team, RIKEN Center for Computational Science, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe 650-0047, Japan

Abstract

From the environmental samples, such as waters, soils, as well as microbiome and biome, NMR data science can evaluate the exposome, namely the totality of exposure to physical/chemical/biological factors from natural environment and human society

Funder

Fisheries Agency

Agriculture, Forestry and Fisheries Research Council

Japan Science and Technology Agency

Japan International Cooperation Agency

RIKEN

Japan Society for the Promotion of Science

Cabinet Office, Government of Japan

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry