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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2024, Vol. 18 Issue (11) : 143    https://doi.org/10.1007/s11783-024-1903-5
Pollution characteristics and ecological risk assessment of glucocorticoids in the Jiangsu section of the Yangtze River Basin
Lichao Tan1,2, Keke Xu1,2, Shengxin Zhang1, Fukai Tang1,2, Mingzhu Zhang1,2, Feng Ge1,2(), Kegui Zhang1,2()
1. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People’s Republic of China, Nanjing 210042, China
2. Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Ministry of Ecology and Environment of the People’s Republic of China, Nanjing 210042, China
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Abstract

● Seven glucocorticoids in Jiangsu section of Yangtze River Basin were detected.

● The distributions of those glucocorticoids changed with season and locations.

● The levels of glucocorticoids in Jiangsu are higher than other regions in China.

● Prednison exhibits the highest ecological risk in the studied water environment.

Glucocorticoids, which are one of the most extensively used steroid hormones, are typical endocrine disruptors. In recent years, glucocorticoids have been widely detected in surface waters such as rivers and lakes, but there are relatively few studies focusing on their ecological risk assessment. In this study, the pollution characteristics of seven glucocorticoids were studied in the Jiangsu section of the Yangtze River Basin, and ecological risk assessments were performed using the risk quotient method. The results showed that seven glucocorticoids were detected at different levels at eight sampling sites. Among these glucocorticoids, prednisone had the highest value of 238.27 ng/L in the wet season, with pollution levels significantly higher than those reported in other areas. The ecological risk evaluation showed that prednisone, prednisolone, dexamethasone, and hydrocortisone acetate all had risk quotient values greater than 1 in the studied water environment, posing a high ecological risk. This study provides a scientific foundation for the in-depth study of the pollution characteristics and ecological risk of glucocorticoids in water bodies in the Jiangsu section of the Yangtze River Basin.

Keywords Yangtze River Basin      Glucocorticoids      Pollution characteristics      Ecological risk assessment     
Corresponding Author(s): Feng Ge,Kegui Zhang   
Issue Date: 13 September 2024
 Cite this article:   
Lichao Tan,Keke Xu,Shengxin Zhang, et al. Pollution characteristics and ecological risk assessment of glucocorticoids in the Jiangsu section of the Yangtze River Basin[J]. Front. Environ. Sci. Eng., 2024, 18(11): 143.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-024-1903-5
https://academic.hep.com.cn/fese/EN/Y2024/V18/I11/143
Categories Molecular formula Molecular structure
Prednison (PREN) C21H26O5
Prednisolone (PREL) C21H28O5
Methylprednisolone (MET) C22H30O5
Betamethasone (BET) C22H29FO5
Dexamethasone (DEX) C22H29FO5
Prednisolone acetate (PREA) C23H30O6
Hydrocortisone acetate (HYDA) C23H32O6
Tab.1  Categories, molecular formula and structures of target glucocorticoids
Chemicals Parent ion(m/z) Retention time(min) Daughter ion(m/z) Capillary voltage(kV) Cone voltage(V) Collision energy(eV)
PREN 359.16 7.18 267.19*146.81 3.0 20 1720
PREL 361.19 6.98 343.01*146.99 3.0 20 1215
MET 375.11 9.31 357.09*160.91 3.0 17 1025
BET 393.04 9.71 372.99*355.11 3.0 18 1012
DEX 393.05 9.97 373.05*355.14 3.0 18 815
PREA 403.15 12.30 385.14*289.18 3.0 18 1015
HYDA 405.14 12.63 327.21*309.13 3.0 35 2020
Tab.2  The sampling site coordinates in Jiangsu section of the Yangtze River
Chemicals Parent ion(m/z) Retention Time(min) Daughter ion(m/z) Capillary voltage(kV) Cone voltage(V) Collision energy(eV)
PREN 359.16 7.18 267.19*146.81 3.0 20 1720
PREL 361.19 6.98 343.01*146.99 3.0 20 1215
MET 375.11 9.31 357.09*160.91 3.0 17 1025
BET 393.04 9.71 372.99*355.11 3.0 18 1012
DEX 393.05 9.97 373.05*355.14 3.0 18 815
PREA 403.15 12.30 385.14*289.18 3.0 18 1015
HYDA 405.14 12.63 327.21*309.13 3.0 35 2020
Tab.3  UPLC-MS/MS parameter for target compounds
Category Compounds Regression equations R2 LODs (ng/L) LOQs (ng/L) Spiked concentration
10 ng/L 20 ng/L 50 ng/L 100 ng/L
Recovery (%) Rsd (%) Recovery (%) Rsd (%) Recovery (%) Rsd (%) Recovery (%) Rsd (%)
Glucocorticoids PREN Y = 402.99X–32.88 0.9984 2.04 6.80 90.18 10.56 93.66 13.87 83.83 4.85 87.75 2.46
PREL Y = 660.62X–229.86 0.9994 2.41 8.02 100.32 5.67 99.41 11.07 100.86 3.51 100.42 1.75
MET Y = 947.31X–509.77 0.9985 0.69 2.30 98.76 3.76 101.11 4.84 95.35 4.67 94.79 11.82
BET Y = 2057.52X–276.69 0.9976 0.51 1.70 84.71 2.58 78.86 2.46 82.91 3.41 85.69 5.82
DEX Y = 1954.62X+925.15 0.9987 0.35 1.18 89.46 6.17 86.20 12.62 87.74 2.51 92.10 0.48
PDA Y = 641.88X–78.35 0.9996 1.06 3.53 71.84 3.58 70.74 3.25 70.17 1.28 72.48 2.57
HDA Y = 279.16X+22.46 0.9992 1.16 3.88 75.92 11.74 79.63 12.17 74.30 10.46 70.56 10.79
Tab.4  Regression equations, correlation coefficients, LODs, LOQs, recovery and RSD for target compounds
Fig.1  The concentrations of seven glucocorticoids detected at dry and wet seasons.
Fig.2  Temporal and spatial distribution of seven glucocorticoids in surface water in Jiangsu of Yangtze River.
Fig.3  Comparison of glucocorticoids in water samples from the Yangtze River in Jiangsu with other areas.
Glucocorticoids PREN PREL MET BET DEX PREL HYDA
PNEC (ng/L) 100 89.6 100 4.77 13.74 100 4.05
Tab.5  PNEC values of target glucocorticoids
Fig.4  RQ values for glucocorticoids in Yangtze River of Jiangsu.
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