10 Papers
54 Citations
Min Qi is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Chemistry & Microcystis. The author has an hindex of 7, co-authored 10 publications. Previous affiliations of Min Qi include Huazhong Agricultural University.
Chat about Author
Papers
Phytoplankton community succession shaping bacterioplankton community composition in Lake Taihu, China.
TL;DR: Insight is shown into relationships between phytoplankton and bacterioplankon communities at species level, facilitating a better understanding of microbial loop and ecosystem functioning in the lake.
153
Simultaneous determination of eight common odors in natural water body using automatic purge and trap coupled to gas chromatography with mass spectrometry.
TL;DR: A simple and sensitive method for the determination of eight malodors products of cyanobacterial blooms was developed using automatic purge and trap (P&T) coupled with gas chromatography-mass spectrometry (GC-MS).
83
Large-scale field evidence on the enhancement of small-sized cladocerans by microcystis blooms in Lake Taihu, China
Xiaoxue Sun,Xiaoxue Sun,Min Tao,Boqiang Qin,Min Qi,Min Qi,Yuan Niu,Jing Zhang,Jing Zhang,Zhimei Ma,Ping Xie,Ping Xie +11 more
TL;DR: It is suggested that cyanobacterial blooms may change competitive relations of small-sized cladocerans and copepoda, favoring small cladocerrans (except larger genera) in crustacean zooplankton communities.
Microwave-assisted purge-and-trap extraction device coupled with gas chromatography and mass spectrometry for the determination of five predominant odors in sediment, fish tissues, and algal cells.
TL;DR: The proposed design of a rapid and flexible microwave-assisted purge-and-trap extraction device for simultaneously determining five predominant odors is ready for rapid translation into a standard analytical tool and is useful for multiple applications in the analysis of off-flavors.
43
Development of models for predicting the predominant taste and odor compounds in Taihu Lake, China.
TL;DR: These models, basing on easily collected environmental data, will be of practical value to the water resource managers of Taihu Lake for evaluating the probability of T&O accidents.