Phenol is a common industrial chemical produced and transported worldwide largely.Therefore,accidental spillage of phenol in the ocean causes an increasing concern.Microalgae are promising to remove phenol from marine...Phenol is a common industrial chemical produced and transported worldwide largely.Therefore,accidental spillage of phenol in the ocean causes an increasing concern.Microalgae are promising to remove phenol from marine waters.However,temperature and light intensity are two main factors that markedly influence biodegradation in marine environments.In this study,a marine golden alga Isochrysis galbana is selected to research the removal of phenol under different temperatures(10-30℃)and light intensities(0-240μmol/(m^2·s)).The results show that the most suitable temperature and light intensity for phenol removal are 20℃and 180μmol/(m2·s),respectively,and 100 mg/L of phenol can be completely removed by microalga in 24 h at these conditions.I.galbana can also remove phenol under dark and low-temperature conditions.The removal of phenol by I.galbana at diverse temperatures and light intensities conform to first-order kinetics,and the process under dark conditions conform to zero-order kinetics.Thus,I.galbana can be used in the in-situ bioremediation of polluted seawater by phenol.展开更多
基金Supported by the National Marine Hazard Mitigation Service,Ministry of Natural Resource of the People’s Republic of China through its Commissioned Research Scheme(No.2018AA019)。
文摘Phenol is a common industrial chemical produced and transported worldwide largely.Therefore,accidental spillage of phenol in the ocean causes an increasing concern.Microalgae are promising to remove phenol from marine waters.However,temperature and light intensity are two main factors that markedly influence biodegradation in marine environments.In this study,a marine golden alga Isochrysis galbana is selected to research the removal of phenol under different temperatures(10-30℃)and light intensities(0-240μmol/(m^2·s)).The results show that the most suitable temperature and light intensity for phenol removal are 20℃and 180μmol/(m2·s),respectively,and 100 mg/L of phenol can be completely removed by microalga in 24 h at these conditions.I.galbana can also remove phenol under dark and low-temperature conditions.The removal of phenol by I.galbana at diverse temperatures and light intensities conform to first-order kinetics,and the process under dark conditions conform to zero-order kinetics.Thus,I.galbana can be used in the in-situ bioremediation of polluted seawater by phenol.
文摘目的 探讨基于经颅多普勒超声(TCD)构建模型预测急性前循环大血管闭塞(aLVO)机械取栓术后神经功能预后。方法 收集2020年6月至2021年3月福建医科大学附属漳州市医院收治的44例单侧aLVO机械取栓术后血管再通患者的临床资料,均应用TCD测量术后双侧大脑中动脉(MCA)血流,同时记录患者临床情况,术后90 d应用改良Rankin量表(mRS)评估神经功能预后。采用单因素分析和多元广义线性回归分析筛选与神经功能预后独立关联的变量,同时建立预测模型并用bootstrap法验证。结果 单因素分析结果显示,年龄、MCA峰值流速差异比值、MCA峰值流速差异比值、发病至血管再通时间、术后收缩压均与术后90 d mRS评分有关(P<0.20)。多元广义线性回归分析结果显示,MCA血流峰值流速差异比值、发病至血管再通时间均与术后90 d mRS评分独立相关(P<0.20),建立模型0.91+1.37×X1(发病至再通时间,>240 min=1,<240 min=0)+3.43×X2(MCA峰值流速差异比值)。bootstrap验证结果显示,多元广义线性回归结果构建模型的各变量回归系数均落在95%CI内。结论 MCA峰值流速差异比值、发病至血管再通时间与aLVO患者机械取栓术后神经功能有关,可应用TCD对a LVO患者术后的颅内血流进行监测并建立预测模型预估术后90 d mRS评分,指导aLVO患者术后MCA血流调控,改善其远期预后。
