火山六月应更热，赤亭道口行人绝——唐·岑参《送李副使赴碛西官军》

    六月初七日，江头蝉始鸣——唐·白居易《早蝉》

    六月，骄阳似火，暑气留恋。大街上，涌动的人流，五颜六色的衣妆，汇成横亘天地间的七色彩虹，描绘着生活美不胜收的诗情画意。

　　我们进入六月，一阵阵热浪扑面而来，整个世界都被烘烤得滚烫滚烫。也开始不再静下心来，烦躁，一触即发，但如果静心下来就会平淡如水，了无波痕。

但六月也是一个美好季节的开始。就如中山大学的张老师一样在这暑气难耐的夏季，依旧为生物科研带来了新的贡献。他使用上海沪鼎生物自主品牌ELISA试剂盒在《Journal of Hazardous Materials》期刊上发表的SCI文献—— Removal pathway quantification and co-metabolic mechanism evaluationof alkylphenols from synthetic wastewater by phenolic root exudates in therhizosphere of Phragmites australis顺利通过。

   精彩的文献不仅可以让我们更好的学习，还可以起到*作用，希望对正在做实验和写论文的科研小伙伴们有所帮助，通过文献我们可以更好的了解到产品，如果您也使用沪鼎品牌的ELISA试剂盒发表了SCI文献，欢迎您积极的参与我们的“fa论文赢奖学金"活动，小编等着你们的投稿哦，下一个高额领奖金的说不定就是你！

【文献标题】Removal pathway quantification and co-metabolic mechanism evaluationof alkylphenols from synthetic wastewater by phenolic root exudates in therhizosphere of Phragmites australis

【DOI】doi.org/10.1016/j.jhazmat.2021.127269

【作者单位】中山大学 《 Sun Yat-sen University》

【产品文献支持】Xie, X., Liao, M., Yang, J., Chai, J., Fang, S., Wang, R., 2012. Influence of root-exudates

concentration on pyrene degradation and soil microbial characteristics in pyrene

contaminated soil. Chemosphere 88 (10), 1190–1195.Xu, G., Ma, S., Tang, L., Sun, R., Xiang, J., Xu, B., Bao, Y., Wu, M., 2016. Occurrence, fate,and risk assessment of selected endocrine disrupting chemicals in wastewater

treatment plants and receiving river of Shanghai, China. Environ. Sci. Pollut. Res. 23

(24), 25442–25450.

影响因子(IF)= ：10.5

【出版期刊】：《Journal of Hazardous Materials》

【产品原文引用】

PTBP-related degrading enzymes, i.e. monophenol oxidase, poly-phenol oxidase, monooxygenase, and dioxygenase, were collected withsoil samples from the planted or unplanted beds. Soil samples weretreated using a specific ELISA kit (Shanghai Huding Biotechnology,China) according to the manufacturer’s instructions, and then theircorresponding enzyme activities were determined using a microplatereader (SpectraMax M2, Molecular Devices, USA) at 450 nm.The software package SPSS (Statistic Package for Social Science;version 13.0) was used for statistical data analysis. Differences andcorrelations between two variables were analyzed using the one-wayANOVA and Pearson’s coefficient, respectively.

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