火山六月應(yīng)更熱，赤亭道口行人絕——唐·岑參《送李副使赴磧西官軍》

    六月初七日，江頭蟬始鳴——唐·白居易《早蟬》

    六月，驕陽(yáng)似火，暑氣留戀。大街上，涌動(dòng)的人流，五顏六色的衣妝，匯成橫亙天地間的七色彩虹，描繪著生活美不勝收的詩(shī)情畫(huà)意。

　　我們進(jìn)入六月，一陣陣熱浪撲面而來(lái)，整個(gè)世界都被烘烤得滾燙滾燙。也開(kāi)始不再靜下心來(lái)，煩躁，一觸即發(fā)，但如果靜心下來(lái)就會(huì)平淡如水，了無(wú)波痕。

但六月也是一個(gè)美好季節(jié)的開(kāi)始。就如中山大學(xué)的張老師一樣在這暑氣難耐的夏季，依舊為生物科研帶來(lái)了新的貢獻(xiàn)。他使用上海滬鼎生物自主品牌ELISA試劑盒在《Journal of Hazardous Materials》期刊上發(fā)表的SCI文獻(xiàn)—— Removal pathway quantification and co-metabolic mechanism evaluationof alkylphenols from synthetic wastewater by phenolic root exudates in therhizosphere of Phragmites australis順利通過(guò)。

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【文獻(xiàn)標(biāo)題】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

【作者單位】中山大學(xué) 《 Sun Yat-sen University》

【產(chǎn)品文獻(xiàn)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.

影響因子(IF)= ：10.5

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

【產(chǎn)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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