Non-thermal plasma and Fe
Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Junyang [verfasserIn] Feng, Jingwei [verfasserIn] Lu, Songsheng [verfasserIn] Shen, Zijun [verfasserIn] Du, Yulai [verfasserIn] Peng, Lu [verfasserIn] Nian, Peng [verfasserIn] Yuan, Shoujun [verfasserIn] Zhang, Aiyong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Separation and purification technology - Amsterdam [u.a.] : Elsevier Science, 1997, 191, Seite 75-85 |
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| Übergeordnetes Werk: |
volume:191 ; pages:75-85 |
| DOI / URN: |
10.1016/j.seppur.2017.09.016 |
|---|
| Katalog-ID: |
ELV000826995 |
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| 520 | |a Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. | ||
| 650 | 4 | |a Non-thermal plasma | |
| 650 | 4 | |a Persulfate | |
| 650 | 4 | |a Crystal violet | |
| 650 | 4 | |a Degradation mechanism | |
| 650 | 4 | |a Artificial neural network | |
| 700 | 1 | |a Feng, Jingwei |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Songsheng |e verfasserin |4 aut | |
| 700 | 1 | |a Shen, Zijun |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Yulai |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Lu |e verfasserin |4 aut | |
| 700 | 1 | |a Nian, Peng |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Shoujun |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Aiyong |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Separation and purification technology |d Amsterdam [u.a.] : Elsevier Science, 1997 |g 191, Seite 75-85 |h Online-Ressource |w (DE-627)320620123 |w (DE-600)2022535-0 |w (DE-576)259485349 |7 nnns |
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2017 |
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2017 |
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10.1016/j.seppur.2017.09.016 doi (DE-627)ELV000826995 (ELSEVIER)S1383-5866(17)32018-X DE-627 ger DE-627 rda eng 540 DE-600 58.11 bkl 58.13 bkl Chen, Junyang verfasserin aut Non-thermal plasma and Fe 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network Feng, Jingwei verfasserin aut Lu, Songsheng verfasserin aut Shen, Zijun verfasserin aut Du, Yulai verfasserin aut Peng, Lu verfasserin aut Nian, Peng verfasserin aut Yuan, Shoujun verfasserin aut Zhang, Aiyong verfasserin aut Enthalten in Separation and purification technology Amsterdam [u.a.] : Elsevier Science, 1997 191, Seite 75-85 Online-Ressource (DE-627)320620123 (DE-600)2022535-0 (DE-576)259485349 nnns volume:191 pages:75-85 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.11 Mechanische Verfahrenstechnik 58.13 Thermische Verfahrenstechnik AR 191 75-85 |
| spelling |
10.1016/j.seppur.2017.09.016 doi (DE-627)ELV000826995 (ELSEVIER)S1383-5866(17)32018-X DE-627 ger DE-627 rda eng 540 DE-600 58.11 bkl 58.13 bkl Chen, Junyang verfasserin aut Non-thermal plasma and Fe 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network Feng, Jingwei verfasserin aut Lu, Songsheng verfasserin aut Shen, Zijun verfasserin aut Du, Yulai verfasserin aut Peng, Lu verfasserin aut Nian, Peng verfasserin aut Yuan, Shoujun verfasserin aut Zhang, Aiyong verfasserin aut Enthalten in Separation and purification technology Amsterdam [u.a.] : Elsevier Science, 1997 191, Seite 75-85 Online-Ressource (DE-627)320620123 (DE-600)2022535-0 (DE-576)259485349 nnns volume:191 pages:75-85 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.11 Mechanische Verfahrenstechnik 58.13 Thermische Verfahrenstechnik AR 191 75-85 |
| allfields_unstemmed |
10.1016/j.seppur.2017.09.016 doi (DE-627)ELV000826995 (ELSEVIER)S1383-5866(17)32018-X DE-627 ger DE-627 rda eng 540 DE-600 58.11 bkl 58.13 bkl Chen, Junyang verfasserin aut Non-thermal plasma and Fe 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network Feng, Jingwei verfasserin aut Lu, Songsheng verfasserin aut Shen, Zijun verfasserin aut Du, Yulai verfasserin aut Peng, Lu verfasserin aut Nian, Peng verfasserin aut Yuan, Shoujun verfasserin aut Zhang, Aiyong verfasserin aut Enthalten in Separation and purification technology Amsterdam [u.a.] : Elsevier Science, 1997 191, Seite 75-85 Online-Ressource (DE-627)320620123 (DE-600)2022535-0 (DE-576)259485349 nnns volume:191 pages:75-85 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.11 Mechanische Verfahrenstechnik 58.13 Thermische Verfahrenstechnik AR 191 75-85 |
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10.1016/j.seppur.2017.09.016 doi (DE-627)ELV000826995 (ELSEVIER)S1383-5866(17)32018-X DE-627 ger DE-627 rda eng 540 DE-600 58.11 bkl 58.13 bkl Chen, Junyang verfasserin aut Non-thermal plasma and Fe 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network Feng, Jingwei verfasserin aut Lu, Songsheng verfasserin aut Shen, Zijun verfasserin aut Du, Yulai verfasserin aut Peng, Lu verfasserin aut Nian, Peng verfasserin aut Yuan, Shoujun verfasserin aut Zhang, Aiyong verfasserin aut Enthalten in Separation and purification technology Amsterdam [u.a.] : Elsevier Science, 1997 191, Seite 75-85 Online-Ressource (DE-627)320620123 (DE-600)2022535-0 (DE-576)259485349 nnns volume:191 pages:75-85 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.11 Mechanische Verfahrenstechnik 58.13 Thermische Verfahrenstechnik AR 191 75-85 |
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10.1016/j.seppur.2017.09.016 doi (DE-627)ELV000826995 (ELSEVIER)S1383-5866(17)32018-X DE-627 ger DE-627 rda eng 540 DE-600 58.11 bkl 58.13 bkl Chen, Junyang verfasserin aut Non-thermal plasma and Fe 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network Feng, Jingwei verfasserin aut Lu, Songsheng verfasserin aut Shen, Zijun verfasserin aut Du, Yulai verfasserin aut Peng, Lu verfasserin aut Nian, Peng verfasserin aut Yuan, Shoujun verfasserin aut Zhang, Aiyong verfasserin aut Enthalten in Separation and purification technology Amsterdam [u.a.] : Elsevier Science, 1997 191, Seite 75-85 Online-Ressource (DE-627)320620123 (DE-600)2022535-0 (DE-576)259485349 nnns volume:191 pages:75-85 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.11 Mechanische Verfahrenstechnik 58.13 Thermische Verfahrenstechnik AR 191 75-85 |
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Chen, Junyang @@aut@@ Feng, Jingwei @@aut@@ Lu, Songsheng @@aut@@ Shen, Zijun @@aut@@ Du, Yulai @@aut@@ Peng, Lu @@aut@@ Nian, Peng @@aut@@ Yuan, Shoujun @@aut@@ Zhang, Aiyong @@aut@@ |
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Chen, Junyang |
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Chen, Junyang ddc 540 bkl 58.11 bkl 58.13 misc Non-thermal plasma misc Persulfate misc Crystal violet misc Degradation mechanism misc Artificial neural network Non-thermal plasma and Fe |
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540 DE-600 58.11 bkl 58.13 bkl Non-thermal plasma and Fe Non-thermal plasma Persulfate Crystal violet Degradation mechanism Artificial neural network |
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ddc 540 bkl 58.11 bkl 58.13 misc Non-thermal plasma misc Persulfate misc Crystal violet misc Degradation mechanism misc Artificial neural network |
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ddc 540 bkl 58.11 bkl 58.13 misc Non-thermal plasma misc Persulfate misc Crystal violet misc Degradation mechanism misc Artificial neural network |
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ddc 540 bkl 58.11 bkl 58.13 misc Non-thermal plasma misc Persulfate misc Crystal violet misc Degradation mechanism misc Artificial neural network |
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Separation and purification technology |
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Non-thermal plasma and Fe |
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Non-thermal plasma and Fe |
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Chen, Junyang |
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Separation and purification technology |
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eng |
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Chen, Junyang Feng, Jingwei Lu, Songsheng Shen, Zijun Du, Yulai Peng, Lu Nian, Peng Yuan, Shoujun Zhang, Aiyong |
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540 |
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verfasserin |
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non-thermal plasma and fe |
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Non-thermal plasma and Fe |
| abstract |
Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. |
| abstractGer |
Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. |
| abstract_unstemmed |
Degradation of aqueous crystal violet (CV) by non-thermal plasma combined with Fe2+ activated persulfate (PS) was investigated. Compared with single Fe2+ activated PS system and single non-thermal plasma system, 54% and 42% enhancement for the degradation rates of CV were observed in the non-thermal plasma combined with Fe2+ activated PS (NTP/Fe2+/PS) system, respectively. The effects of initial pH, discharge power, Fe2+ concentration and PS addition on the degradation of CV were reported. The degradation of CV by NTP/Fe2+/PS followed pseudo-first-order reaction kinetics. The concentrations of generated H2O2, O3 and OH in the NTP/Fe2+/PS system achieved 0.36mg/L, 1.36mg/L and 3.2×10−6 mol/L at 1min, respectively. In the NTP/Fe2+/PS system, the absorbance of the aqueous solution at 584nm, the pH value and TOC decreased with increasing reaction time. Intermediate products and the degradation mechanism of CV were proposed according to the analysis of gas chromatography mass spectrometry. The acute toxicity of the solution showed a decreasing trend with the reaction time. The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. In the NTP/Fe2+/PS system, pH value had the greatest effect on the degradation of CV. |
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Feng, Jingwei Lu, Songsheng Shen, Zijun Du, Yulai Peng, Lu Nian, Peng Yuan, Shoujun Zhang, Aiyong |
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The artificial neural network (ANN) models of NTP/Fe2+/PS system were established, and the ANN model could simulate the CV degradation process effectively. 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