[Objective] To develop a solid phase extraction-high performance liquid chromatography-fluorescence method for determination of quin- olone antibiotics in water. [ Metbod] The standard curves of four quinolones (norf...[Objective] To develop a solid phase extraction-high performance liquid chromatography-fluorescence method for determination of quin- olone antibiotics in water. [ Metbod] The standard curves of four quinolones (norfloxacin, ciprofloxacin, Iomefloxacin and enrofloxacin) were pre- pared. The detection limit in water and recovery were determined. The water samples collected from different areas, river and tap water were trea- ted using solid-phese extraction method and analyzed by high performance liquid chromatography. Then the concentration of quinolones antibiotics was determined by fluorescence method. [ Result] The detection limit of quinolone antibiotics in water was 0.083 -0.248 μg/L, and their recovery was 63.7% -134.1%. The four quinolone antibiotics at different levels were detected in various water samples, and the total concentration of quin- olone antibiotics was 0.045 -3.969 μg/L. The total concentration of quinolone antibiotics was higher in the water samples collected from rivers in Shenzhen area than in the sewage samples. The four quinolone antibiotics could be detected in all tap water samples. [ CoaduLsion ] The solid phase extraction-high performance liquid chromatography-fluorescence method is feasible and effective to detect quinolones in water. In addition, this method needs low cost and can meet requirements of daily monitorina and analysis.展开更多
There is a large surface-groundwater exchange downstream ofwastewater treatment plants(WWTPs),and antibiotics upstream may influence sites downstream of rivers.Thus,samples from 9 effluent-receiving urban rivers(ERURs...There is a large surface-groundwater exchange downstream ofwastewater treatment plants(WWTPs),and antibiotics upstream may influence sites downstream of rivers.Thus,samples from 9 effluent-receiving urban rivers(ERURs)and 12 groundwater sites were collected in Shijiazhuang City in December 2020 and April 2021.For ERURs,8 out of 13 target quinolone antibiotics(QNs)were detected,and the total concentration of QNs in December and April were 100.6-4,398 ng/L and 8.02–2,476 ng/L,respectively.For groundwater,all target QNs were detected,and the total QNs concentration was 1.09–23.03 ng/L for December and 4.54–170.3 ng/L for April.The distribution of QNs was dissimilar between ERURs and groundwater.Most QN concentrations were weakly correlated with land use types in the system.The results of a positive matrix factorization model(PMF)indicated four potential sources of QNs in both ERURs and groundwater,and WWTP effluents were the main source of QNs.From December to April,the contribution of WWTP effluents and agricultural emissions increased,while livestock activities decreased.Singular value decomposition(SVD)results showed that the spatial variation of most QNs was mainly contributed by sites downstream(7.09%-88.86%)of ERURs.Then,a new method that combined the results of SVD and PMF was developed for a specific-source-site risk quotient(SRQ),and the SRQ for QNs was at high level,especially for the sites downstream of WWTPs.Regarding temporal variation,the SRQ for WWTP effluents,aquaculture,and agricultural emissions increased.Therefore,in order to control the antibiotic pollution,more attention should be paid to WWTP effluents,aquaculture,and agricultural emission sources for the benefit of sites downstream of WWTPs.展开更多
Development of new self-calibrating fluorescent sensing methods has been a popular research field with the aim of protecting the human health and environment sustainability. In this work, a novel Eu-based metal organi...Development of new self-calibrating fluorescent sensing methods has been a popular research field with the aim of protecting the human health and environment sustainability. In this work, a novel Eu-based metal organic framework(MOF) Eu(2,6-NDC)(COO)(BUC-88) was developed by employing 2,6-NDC(2,6-naphthalenedicarboxylic acid) as bridging ligands. BUC-88 performed different sensing process toward quinolone antibiotics and tetracyclines antibiotics in terms of fluorescence intensity and color. BUC-88exhibited excellent selectivity and sensitivity detection property toward enrofloxacin(ENR), norfloxacin(NOR) and ciprofloxacin(CIP) over other Pharmaceutical and Personal Care Products(PPCPs), accomplishing the detection limit of 0.12 μmol/L, 0.52 μmol/L, 0.75 μmol/L, respectively. Notably, BUC-88 acted as an excellent fluorescence sensor for tetracyclines antibiotics with fast response time(less than 1 s), high selectivity and sensitivity(LODs = 0.08 μmol/L). The fluorescent detection method was successfully used for visual and ultrasensitive detection of ENR, NOR, CIP and tetracycline hydrochloride(TC) in lake water with satisfied recovery from 99.75% to 102.30%. Finally, the photoinduced electron transfer and the competitive absorption of ultraviolet light are the main mechanisms for sensitive detection toward quinolone antibiotics and tetracyclines antibiotics.展开更多
[Objective]The aim is to provide data support for the prevention and control of pollution of exogenous chemical in pig breeding industry.[Methods]Solid-phase extraction(SPE)and tandem mass(LC-MS/MS)were used for d...[Objective]The aim is to provide data support for the prevention and control of pollution of exogenous chemical in pig breeding industry.[Methods]Solid-phase extraction(SPE)and tandem mass(LC-MS/MS)were used for determining four classes(tetracyclines,quinolones,macrolides and sulfonamides)of 10 common veterinary antibiotics in groundwater of an important pig breeding base in the Yangtze River Delta region of China.[Results]Results revealed the total concentration of the ten antibiotics in urban rivers ranged from 20.1 ng /L to 61.2 ng /L.The highest proportion was taken by tetracyclines,account for 95%,the concentration was up to 44.0 ng /L.Quinolones shared the second largest proportion of total concentration,about 29%,the concentration was up to 21.6 ng /L,while concentration of sulfonamides and macrolides were respectively below 2.7 ng /L and 6.3 ng /L.The highest total concentration of the ten antibiotics in rural rivers was up to 467 ng /L,60% of which was shared by tetracyclines,the highest concentration of tetracyclines was 253 ng /L.Sulfonamides share 20% of the total concentration,the highest concentration of it was 165 ng /L.The highest concentration of macrolides and quinolones was 14.6 ng /L and 14.5 ng /L,respectively.[Conclusion] Antibiotics' pollution in town rivers is more serious than urban rivers' pollution caused by antibiotics.展开更多
Contaminants of heavy metals and antibiotics, which are frequently detected in water, soil and food chains with increasing prevalence in our current society, can cause potential harm to human health and disrupt human ...Contaminants of heavy metals and antibiotics, which are frequently detected in water, soil and food chains with increasing prevalence in our current society, can cause potential harm to human health and disrupt human ecosystem irreversibly. Herein, we have successfully utilized biomass waste ferns contaminated by iron mines, to fabricate a first-of-its-kind high-performance class of Fe single-atom catalysts(FeSAC) by a facile pyrolysis. The optimal FeSAC-800 shows an excellent efficiency in the fastphotocatalytic degradation of six types of quinolone antibiotics(e.g., norfloxacin, levofloxacin, ciprofloxacin, enrofloxacin, lomefloxacin, flumequine) in 1 h under the simulated natural light irradiation. Based on advanced characterization, a well-defined structure of FeN_(4), confined in the porous carbon is elaborated for the FeSAC-800. Mechanism of the photodegradation is via a Fenton-like oxidation process whereas the reactive oxygen species play a key role. These findings open a new avenue for efficient, sustainable utilization of biomass waste in pollutant control.展开更多
基金funded by the grants from the China Natural Science Foundation ( 30671208 and 40773062)Key Project of Guangdong Natural Science Foundation ( 07117909)Science and Technology Planning Project of Guangdong Province( 2005B20801002 and 2006B20601003)
文摘[Objective] To develop a solid phase extraction-high performance liquid chromatography-fluorescence method for determination of quin- olone antibiotics in water. [ Metbod] The standard curves of four quinolones (norfloxacin, ciprofloxacin, Iomefloxacin and enrofloxacin) were pre- pared. The detection limit in water and recovery were determined. The water samples collected from different areas, river and tap water were trea- ted using solid-phese extraction method and analyzed by high performance liquid chromatography. Then the concentration of quinolones antibiotics was determined by fluorescence method. [ Result] The detection limit of quinolone antibiotics in water was 0.083 -0.248 μg/L, and their recovery was 63.7% -134.1%. The four quinolone antibiotics at different levels were detected in various water samples, and the total concentration of quin- olone antibiotics was 0.045 -3.969 μg/L. The total concentration of quinolone antibiotics was higher in the water samples collected from rivers in Shenzhen area than in the sewage samples. The four quinolone antibiotics could be detected in all tap water samples. [ CoaduLsion ] The solid phase extraction-high performance liquid chromatography-fluorescence method is feasible and effective to detect quinolones in water. In addition, this method needs low cost and can meet requirements of daily monitorina and analysis.
基金This work was supported by the Natural Science Foundation of Hebei Province(No.D2019208152)the Natural Science Foundation of Higher Education Institutions of Hebei Province(No.ZD2021046).
文摘There is a large surface-groundwater exchange downstream ofwastewater treatment plants(WWTPs),and antibiotics upstream may influence sites downstream of rivers.Thus,samples from 9 effluent-receiving urban rivers(ERURs)and 12 groundwater sites were collected in Shijiazhuang City in December 2020 and April 2021.For ERURs,8 out of 13 target quinolone antibiotics(QNs)were detected,and the total concentration of QNs in December and April were 100.6-4,398 ng/L and 8.02–2,476 ng/L,respectively.For groundwater,all target QNs were detected,and the total QNs concentration was 1.09–23.03 ng/L for December and 4.54–170.3 ng/L for April.The distribution of QNs was dissimilar between ERURs and groundwater.Most QN concentrations were weakly correlated with land use types in the system.The results of a positive matrix factorization model(PMF)indicated four potential sources of QNs in both ERURs and groundwater,and WWTP effluents were the main source of QNs.From December to April,the contribution of WWTP effluents and agricultural emissions increased,while livestock activities decreased.Singular value decomposition(SVD)results showed that the spatial variation of most QNs was mainly contributed by sites downstream(7.09%-88.86%)of ERURs.Then,a new method that combined the results of SVD and PMF was developed for a specific-source-site risk quotient(SRQ),and the SRQ for QNs was at high level,especially for the sites downstream of WWTPs.Regarding temporal variation,the SRQ for WWTP effluents,aquaculture,and agricultural emissions increased.Therefore,in order to control the antibiotic pollution,more attention should be paid to WWTP effluents,aquaculture,and agricultural emission sources for the benefit of sites downstream of WWTPs.
基金supported by National Natural Science Foundation of China (Nos. 51878023 and 21806008)Beijing Talent Project (No. 2020A27)The Fundamental Research Funds for Beijing University of Civil Engineering and Architecture (No.X20147/X20141/X20135/X20146)。
文摘Development of new self-calibrating fluorescent sensing methods has been a popular research field with the aim of protecting the human health and environment sustainability. In this work, a novel Eu-based metal organic framework(MOF) Eu(2,6-NDC)(COO)(BUC-88) was developed by employing 2,6-NDC(2,6-naphthalenedicarboxylic acid) as bridging ligands. BUC-88 performed different sensing process toward quinolone antibiotics and tetracyclines antibiotics in terms of fluorescence intensity and color. BUC-88exhibited excellent selectivity and sensitivity detection property toward enrofloxacin(ENR), norfloxacin(NOR) and ciprofloxacin(CIP) over other Pharmaceutical and Personal Care Products(PPCPs), accomplishing the detection limit of 0.12 μmol/L, 0.52 μmol/L, 0.75 μmol/L, respectively. Notably, BUC-88 acted as an excellent fluorescence sensor for tetracyclines antibiotics with fast response time(less than 1 s), high selectivity and sensitivity(LODs = 0.08 μmol/L). The fluorescent detection method was successfully used for visual and ultrasensitive detection of ENR, NOR, CIP and tetracycline hydrochloride(TC) in lake water with satisfied recovery from 99.75% to 102.30%. Finally, the photoinduced electron transfer and the competitive absorption of ultraviolet light are the main mechanisms for sensitive detection toward quinolone antibiotics and tetracyclines antibiotics.
文摘[Objective]The aim is to provide data support for the prevention and control of pollution of exogenous chemical in pig breeding industry.[Methods]Solid-phase extraction(SPE)and tandem mass(LC-MS/MS)were used for determining four classes(tetracyclines,quinolones,macrolides and sulfonamides)of 10 common veterinary antibiotics in groundwater of an important pig breeding base in the Yangtze River Delta region of China.[Results]Results revealed the total concentration of the ten antibiotics in urban rivers ranged from 20.1 ng /L to 61.2 ng /L.The highest proportion was taken by tetracyclines,account for 95%,the concentration was up to 44.0 ng /L.Quinolones shared the second largest proportion of total concentration,about 29%,the concentration was up to 21.6 ng /L,while concentration of sulfonamides and macrolides were respectively below 2.7 ng /L and 6.3 ng /L.The highest total concentration of the ten antibiotics in rural rivers was up to 467 ng /L,60% of which was shared by tetracyclines,the highest concentration of tetracyclines was 253 ng /L.Sulfonamides share 20% of the total concentration,the highest concentration of it was 165 ng /L.The highest concentration of macrolides and quinolones was 14.6 ng /L and 14.5 ng /L,respectively.[Conclusion] Antibiotics' pollution in town rivers is more serious than urban rivers' pollution caused by antibiotics.
基金supported by the Key Realm Research and Development Program of Guangdong Province (2020B0202080001)the CAS Project for Young Scientists in Basic Research (YSBR-022)+6 种基金the Guangdong Basic and Applied Basic Research Foundation (2019B1515120058)the National Natural Science Foundation of China (22078374)the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB36030200)the National Key R&D Program of China (2020YFC1807600)the National Ten Thousand Talent PlanKey-Area Research and Development Program of Guangdong Province (2019B110209003)the Hundred Talent Plan (201602) from Sun Yat-sen University for financial support。
文摘Contaminants of heavy metals and antibiotics, which are frequently detected in water, soil and food chains with increasing prevalence in our current society, can cause potential harm to human health and disrupt human ecosystem irreversibly. Herein, we have successfully utilized biomass waste ferns contaminated by iron mines, to fabricate a first-of-its-kind high-performance class of Fe single-atom catalysts(FeSAC) by a facile pyrolysis. The optimal FeSAC-800 shows an excellent efficiency in the fastphotocatalytic degradation of six types of quinolone antibiotics(e.g., norfloxacin, levofloxacin, ciprofloxacin, enrofloxacin, lomefloxacin, flumequine) in 1 h under the simulated natural light irradiation. Based on advanced characterization, a well-defined structure of FeN_(4), confined in the porous carbon is elaborated for the FeSAC-800. Mechanism of the photodegradation is via a Fenton-like oxidation process whereas the reactive oxygen species play a key role. These findings open a new avenue for efficient, sustainable utilization of biomass waste in pollutant control.