2025-10 Updated
[50] F. Liu, Y. Ma, W.X. Li, J. Cai, H.Y. Zhang, F. Chen*, Y.M. Zhang*, B.E. Rittmann. How Rhodococcus ruber accelerated biodegradation of benzophenone-3. Journal of Hazardous Materials, 2025, 482, 136566.
[49] F. Liu, D.Y. Zhu, Y.X. Chen, J. Luo, Y.X. Zhou, F. Chen*, Y.M. Zhang*, B.E. Rittmann. Differentiating biosynthesis from heterotrophic nitrification/aerobic denitrification for total-nitrogen removal. Environmental Research, 2025, 285, 122498.
[48] H.Y. Zhang, Y. Ma, F. Liu, S.Y. Chen, X. Peng, F. Chen*, Y.M. Zhang*, B.E. Rittmann. How Rhodococcus ruber accelerated denitrification with soybean-processing wastewater as the electron donor. Journal of Environmental Management, 2025, 376, 124558.
[47] Y.Q. Xu, N. Zhang, Y. Hu, F. Chen, L.G. Hu, C.Y. Liao*, G.B. Jiang. A preliminary understanding of the relationship between synthetic phenolic antioxidants and early pregnancy loss: Uncovering the potential molecular mechanisms. Science of the Total Environment, 2024, 927, 171972.
[46] Y.Y. Gao, T. Chen, Y.F. Hou, R.Y. Xue, R. Liu*, F. Chen, Y.M. Zhang*, B.E. Rittmann. The roles of Methylobacterium organophilum and Sphingomonas melonis for accelerating N-methyl pyrrolidone (NMP) biodegradation. Journal of Water Process Engineering, 2023, 56, 104327.
[45] B. Zhang, F. Chen, T. Xu*, Y.J. Tian, Y.J. Zhang, M. Cao, X.P. Guo, D.Q. Yin. The crosstalk effects of polybrominated diphenyl ethers on the retinoic acid and thyroid hormone signaling pathway. Science of the Total Environment, 2023, 883, 163590.
[44] S.T. Li, F. Chen, W. Chen, Y. Ying*, H.F. Yang*. Sulphonamide derivatives as the inhibitors for mild steel: The correlation of molecular structure effect and the corrosion efficiency. Journal of Molecular Liquids, 2022, 357, 118981.
[43] S. Wei, F. Chen, T. Xu*, M. Cao, X.Y. Yang, B. Zhang, X.P. Guo, D.Q. Yin. BDE-99 Disrupts the Photoreceptor Patterning of Zebrafish Larvae via Transcription Factor six7. Environmental Science & Technology, 2022, 56(9), 5673–5683.
[42] X.Y. Yu, G. Zhu, Y.Y. Gao, Z.D. Wu, P. Zhang, X.Y. Zhang, C. Qian, F. Chen*, Y.M. Zhang*, R. Liu*, B.E. Rittmann. Roles of Pseudomonas aeruginosa and Ensifer adhaerens in accelerating nitrobenzene biodegradation by removing an inhibitory intermediate. International Biodeterioration & Biodegradation, 2022, 171, 105419.
[41] Z.J. Wang, F. Chen, Y.Q. Xu, P. Huang, S.S. Liu*. Protein Model and Function Analysis in Quorum-Sensing Pathway of Vibrio qinghaiensis sp.-Q67. Biology-Basel, 2021, 10(7), 638.
[40] C.Y. Zhang, N. Yan*, G. Zhu, F. Chen, X.Y. Yu, Z.W. Huang, Y.M. Zhang*, B.E. Rittmann. Recovery of the nitrifying ability of acclimated biomass exposed to para-nitrophenol. Science of the Total Environment, 2021, 781, 146697.
[39] S.S. Zou, Y.M. Zhang*, F. Chen*, X.Y. Yu, X.Q. Wu, C.Y. Zhang, B.E. Rittmann. Nitrifying biomass can retain its acclimation to 2,4,6-trichlorophenol. Water Research, 2020, 185, 116285.
[38] Y.S. Zheng, F. Chen, X.L. Liu, X.Y. Guo, Y. Ying, Y.P. Wu, Y. Wen*, H.F. Yang*. Rational design of PdRu/TiO2 composite material for advancing electrochemical catalysis of methanol oxidation. Journal of Power Sources, 2020, 472, 228517.
[37] X.Y. Guo, F. Chen, F. Wang, Y.P. Wu, Y. Ying, Y. Wen, H.F. Yang*, Q.F. Ke*. Recyclable Raman chip for detection of trace Mercury ions. Chemical Engineering Journal, 2020, 390, 124528.
[36] X.Y. Teng, F. Chen, Y. Gao, R. Meng, Y.P. Wu, F. Wang, Y. Ying, X.L. Liu, X.Y. Guo, Y. Sun, P. Lin, Y. Wen, H.F. Yang*. Enzyme-Assist-Interference-Free Strategy for Raman Selective Determination of Sialic Acid. Analytical Chemistry, 2020, 92(4), 3332-3339.
[35] Y. Gao, T. Xuan, F. Chen*, Y.P. Wu*, X.Y. Guo, Y. Wen, H.F. Yang*. Protein-docking strategy boosting Raman detection sensitivity for aristolochic acid I. Sensors and Actuators B-Chemical, 2020, 304, 127223.
[34] Q.Y. Lu, Y.M. Zhang*, N.Y. Li, Y. Tang, C.Y. Zhang, W.Y. Wang, J.Q. Zhou, F. Chen, B.E. Rittmann. Using ultrasonic treated sludge to accelerate pyridine and p-nitrophenol biodegradation. International Biodeterioration & Biodegradation, 2020, 153, 105051.
[33] Y.Q. Xu, S.S. Liu*, F. Chen, Z.J. Wang. pH affects the hormesis profiles of personal care product components on luminescence of the bacteria Vibrio qinghaiensis sp. -Q67. Science of the Total Environment, 2020, 713, 136656.
[32] Y.K. Wang, Q.Y. Zeng, S.S. Zou, C. Hu, F. Chen*, Y.M. Zhang* and B.E. Rittmann. Bioavailable electron donors from ultrasound-treated biomass for stimulating denitrification. Journal of Environmental Management, 2019, 250, 109533.
[31] R. Qu, K. K. Xiao, J. P. Hu, S. Liang, H. J. Hou, B. C. Liu, F. Chen, Q. Xu, X. Wu and J. K. Yang*. Predicting the hormesis and toxicological interaction of mixtures by an improved inverse distance weighted interpolation. Environment International, 2019, 130.
[30] Y.F. Li, D.B. Wang*, G.J. Yang*, X.Z. Yuan, Q.X. Xu, X.R. Liu, Y.L. Wang, R.P. Guan, Q.Z. Fu, F. Chen. The novel pretreatment of Co2+ activating peroxymonosulfate under acidic condition for dewatering waste activated sludge. Journal of the Taiwan Institute of Chemical Engineers, 2019, 102, 259-267.
[29] G. Q. Weng, E. C. Wang, F. Chen, H. Y. Sun, Z. Wang and T. J. Hou*. Assessing the performance of MM/PBSA and MM/GBSA methods. 9. Prediction reliability of binding affinities and binding poses for protein-peptide complexes. Physical Chemistry Chemical Physics, 2019, 21(19), 10135-10145.
[28] R. Qu, S.S. Liu*, Z.J. Wang and F. Chen. A novel method based on similarity and triangulation for predicting the toxicities of various binary mixtures. Journal of theoretical biology, 2019, 480, 56-64.
[27] H.B. Yang, Y.Z. Zhao, Y. Tang, H.Q. Gong, F. Guo, W.H. Sun, S.S. Liu, H. Tan, and F. Chen*. Antioxidant defence system is responsible for the toxicological interactions of mixtures: A case study on PFOS and PFOA in Daphnia magna. Science of the Total Environment, 2019, 667, 435-443.
[26] F. Chen, H.Y. Sun, J.M. Wang, F. Zhu, H. Liu, Z. Wang, T.L. Lei, Y.Y. Li and T.J. Hou*. Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein-RNA complexes. RNA, 2018, 24(9), 1183-1194.
[25] H.Y. Sun, L.L. Duan, F. Chen, H. Liu, Z. Wang, P.C. Pan, F. Zhu, J. Z. H. Zhang and T.J. Hou*. Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches. Physical Chemistry Chemical Physics, 2018, 20(21), 14450-14460.
[24] J.J. Shen, F. Chen, X.X. Wang, X.F. Liu, X.A. Chen, X.M. Mao and Y.Q. Li*. Substrate Specificity of Acyltransferase Domains for Efficient Transfer of Acyl Groups. Frontiers in Microbiology, 2018, 9.
[23] 朱祥伟* 和 陈浮. ToxCast 化学品对 CYP450 异构酶抑制的 QSAR 研究. 中国环境科学, 2017, 37(1), 386-391.
[22] Q.F. Zheng, M. Yu, S.S. Liu* and F. Chen. Hormesis of some organic solvents on Vibrio qinghaiensis sp.Q67 from first binding to the beta subunit of luciferase. RSC Advances, 2017, 7(60), 37636-37642.
[21] J. Shang, H.Y. Sun, H. Liu, F. Chen, S. Tian, P.C. Pan, D. Li, D.X. Kong and T.J. Hou*. Comparative analyses of structural features and scaffold diversity for purchasable compound libraries. Journal of Cheminformatics, 2017, 9.
[20] H. Liu, F. Chen, H.Y. Sun, D. Li and T.J. Hou*. Improving the Efficiency of Non-equilibrium Sampling in the Aqueous Environment via Implicit-Solvent Simulations. Journal of Chemical Theory and Computation, 2017, 13(4), 1827-1836.
[19] L.M. Li, M. Han, X.C. Jiang, X.Z. Yin, F. Chen, T.Y. Zhang, H. Ren, J.W. Zhang, T.J. Hou, Z. Chen, H.W. Ou-Yang, Y. Tabata, Y.Q. Shen and J.Q. Gao*. Peptide-Tethered Hydrogel Scaffold Promotes Recovery from Spinal Cord Transection via Synergism with Mesenchymal Stem Cells. ACS Applied Materials & Interfaces, 2017, 9(4), 3330-3342.
[18] T.L. Lei, F. Chen, H. Liu, H.Y. Sun, Y. Kang, D. Li, Y.Y. Li and T.J. Hou*. ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity. Molecular Pharmaceutics, 2017, 14(7), 2407-2421.
[17] T. Feng, F. Chen, Y. Kang, H.Y. Sun, H. Liu, D. Li, F. Zhu and T.J. Hou*. HawkRank: a new scoring function for protein-protein docking based on weighted energy terms. Journal of Cheminformatics, 2017, 9.
[16] F. Chen, H.Y. Sun, H. Liu, D. Li, Y.Y. Li and T.J. Hou*. Prediction of luciferase inhibitors by the high-performance MIEC-GBDT approach based on interaction energetic patterns. Physical Chemistry Chemical Physics, 2017, 19(15), 10163-10176.
[15] R. Qu, S.S. Liu*, F. Chen and K. Li. Complex toxicological interaction between ionic liquids and pesticides to Vibrio qinghaiensis sp.Q67. RSC Advances, 2016, 6(25), 21012-21018.
[14] F. Chen, H. Liu, H.Y. Sun, P.C. Pan, Y.Y. Li, D. Li and T.J. Hou*. Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking. Physical Chemistry Chemical Physics, 2016, 18(32), 22129-22139.
[13] 陈浮, 刘树深*, 余沫 和 李恺. 基于咪唑离子液体与萤火虫荧光素酶的结合模式预测混合物毒性. 科学通报, 2015, 60(19), 1810-1819.
[12] L. Liu, S.S. Liu*, M. Yu, J. Zhang and F. Chen. Concentration addition prediction for a multiple-component mixture containing no effect chemicals. Analytical Methods, 2015, 7(23), 9912-9917.
[11] L. Liu, S.S. Liu*, M. Yu and F. Chen. Application of the combination index integrated with confidence intervals to study the toxicological interactions of antibiotics and pesticides in Vibrio qinghaiensis sp.Q67. Environmental Toxicology and Pharmacology, 2015, 39(1), 447-456.
[10] F. Chen, S.S. Liu*, M. Yu, R. Qu and M.C. Wang. Blocking the entrance of AMP pocket results in hormetic stimulation of imidazolium-based ionic liquids to firefly luciferase. Chemosphere, 2015, 132, 108-113.
[9] M. Yu, S.S. Liu*, M.C. Wang, F. Chen and H.X. Tang. Mixture Toxicities of Three Pesticides Having Different Time-Toxicity Profiles. Chinese Journal of Chemistry, 2014, 32(6), 545-552.
[8] M.C. Wang, S.S. Liu* and F. Chen. Predicting the Time-dependent Toxicities of Three Triazine Herbicide Mixtures to V. qinghaiensis sp Q67 Using the Extended Concentration Addition Model. Acta Chimica Sinica, 2014, 72(1), 56-60.
[7] F. Chen, S.S. Liu*, X.T. Duan and Q.F. Xiao. Predicting the mixture effects of three pesticides by integrating molecular simulation with concentration addition modeling. RSC Advances, 2014, 4(61), 32256-32262.
[6] X.W. Zhu, S.S. Liu*, L.T. Qin, F. Chen and H.L. Liu. Modeling non-monotonic dose-response relationships: Model evaluation and hormetic quantities exploration. Ecotoxicology and Environmental Safety, 2013, 89, 130-136.
[5] L.T. Qin, S.S. Liu*, F. Chen, Q.F. Xiao and Q.S. Wu. Chemometric model for predicting retention indices of constituents of essential oils. Chemosphere, 2013, 90(2), 300-305.
[4] L.T. Qin, S.S. Liu*, F. Chen and Q.S. Wu. Development of validated quantitative structure-retention relationship models for retention indices of plant essential oils. Journal of Separation Science, 2013, 36(9-10), 1553-1560.
[3] S.S. Liu*, L. Liu and F. Chen. Application of the Concentration Addition Model in the Assessment of Chemical Mixture Toxicity. Acta Chimica Sinica, 2013, 71(10), 1335-1340.
[2] H.L. Ge, S.S. Liu*, F. Chen, J.H. Luo, D.Z. Lu and B.X. Su. Microplate Luminometry for Toxicity Bioassay of Chemicals on Luciferase. Spectroscopy and Spectral Analysis, 2013, 33(10), 2766-2770.
[1] F. Chen, S.S. Liu* and X.T. Duan. Molecular Modeling Study on the Three-dimensional Structure of the Luciferase Protein in Vibrio-qinghaiensis sp.Q67. Acta Chimica Sinica, 2013, 71(7), 1035-1040.