Zhang Nannan

July 15, 2024 This article has been reviewed according to Science X's editorial process and policies Editors have highlighted the following attributes while ensuring the content's credibility:

In a study published in Nature Plants , scientists have identified the Eocene, Oligocene, and Miocene boundaries as turning points for the transition of survival strategies in the grape family (Vitaceae).

July 16, 2024 This article has been reviewed according to Science X's editorial process and policies Editors have highlighted the following attributes while ensuring the content's credibility:

A research team led by Prof. Gao Lizeng from the Institute of Biophysics of the Chinese Academy of Sciences proposed a bactericidal mechanism based on nanozymes that simulate antimicrobial peptides (AMPs) and antimicrobial enzymes (AMEs) according to biomimicry principles, and designed a dual-functional high-efficiency antimicrobial nanozyme.

July 17, 2024 This article has been reviewed according to Science X's editorial process and policies Editors have highlighted the following attributes while ensuring the content's credibility:

July 18, 2024 This article has been reviewed according to Science X's editorial process and policies Editors have highlighted the following attributes while ensuring the content's credibility:

A group of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has designed and developed advanced microfluidic sensor arrays that use fluorescent probes to simultaneously visualize and quantitatively detect multiple heavy metal ions in environmental water in real time.

Scientists at the Institute of Applied Ecology of the Chinese Academy of Sciences have made a breakthrough in understanding why Korean pine trees are struggling to regenerate naturally in certain forests. These broad-leaf Korean pine forests are vital for capturing carbon dioxide from the atmosphere and maintaining healthy ecosystems in northeast China.

章楠楠, 徐皓帆, 李志文, 李婷, 谢邵文, 刘淑娟, 徐丹, 周衍波, 周红艺. 基于机器学习的广东省县域农业碳排放时空演变及驱动因素研究[J]. 中国生态农业学报 (中英文), 2024, 32(12): 1−14. DOI:

In a study published in Nature Communications, a research group led by Prof. Deng Dehui, Assoc. Prof. Cui Xiaoju, and Prof. Yu Liang from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences has achieved highly efficient photo-driven carbonylation of methane (CH4) with carbonic oxide (CO) and oxygen (O2) to acetic acid (CH3COOH) using a nano-heterostructure catalyst.