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1.
Chinese Journal of Biotechnology ; (12): 577-590, 2015.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-240617

RESUMO

To accurately analyze metabolites in industry-important photosynthetic microbes, LC-MS based metabolomics protocol needs to be optimized specifically for individual species. In this study, an LC-MS based metabolomics method was optimized for cyanobacterium Synechocystis sp. PCC 6803. With the optimized extraction, liquid chromatographic and mass spectral parameters, the method was capable of detecting 24 important metabolites related to central carbohydrate and energy metabolism in Synechocystis sp. PCC 6803. The study laid an important foundation for the metabolomics analysis of cyanobacteria.


Assuntos
Cromatografia Líquida , Espectrometria de Massas , Metaboloma , Metabolômica , Fotossíntese , Synechocystis , Metabolismo
2.
Forensic Sci Int ; 187(1-3): 29-33, 2009 May 30.
Artigo em Inglês | MEDLINE | ID: mdl-19303726

RESUMO

Both elemental composition analysis and mineral magnetic measurements were used to infer the source of the earth dumped on a highway in China, which resulted in human life loss and injury in 2002. The results indicate that the earth and the samples from the potential two sources are very similar in geochemical compositions. However, magnetic properties show stronger difference among the samples. A plot of magnetic susceptibility (chi) vs. Anhysteretic Remanent Magnetization (ARM) clearly show that the earth at the accident site (sample No. 1) is closely matched with one sample (No. 4) from the source site B. Such a difference in geochemical and magnetic signatures among the samples is ascribed to the nature of the earth, which is derived from the Xiashu Loess in southern China. Our results indicate that environmental magnetic method can help to crime investigation by aiding in the provenance tracing of soils/sediments evidences in a simple, economic and non-destructive way.


Assuntos
Monitoramento Ambiental/métodos , Magnetismo , Solo/análise , Acidentes de Trânsito , China
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