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- W3037073046 endingPage "123276" @default.
- W3037073046 startingPage "123276" @default.
- W3037073046 abstract "Not only does pyrolysis recover energy and value-added by-products but also reduces waste stream volume. The low volatiles and high ash contents of textile dyeing sludge (TDS) limit its mono-pyrolysis performance. This study aimed to conduct an in-depth analysis of its co-pyrolytic performance with cattle manure (CM). The co-pyrolysis enhanced the volatiles emission from the early devolatilization stage whose reaction mechanism shifted from a diffusion model to a reaction-order model. The further cracking of macromolecular materials was mainly elucidated by the reaction-order model. The temperature dependency of the co-pyrolytic gases was of the following order: aliphatic hydrocarbons > CO2 > alcohols, phenols, ethers, aldehydes, ketones, and carboxylic acids. The main co-pyrolytic volatile products were coumaran and 4-vinylguaiacol. The relative content of guaiacol-type components could be enhanced by co-pyrolysis and lowering the operational temperature to 450 °C. The interaction of co-pyrolysis enriched the char aromaticity. Our findings provide practical insights into the control and application opportunities and limitations on the high value-added energy and products from the co-pyrolysis of TDS and CM." @default.
- W3037073046 created "2020-07-02" @default.
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- W3037073046 date "2021-01-01" @default.
- W3037073046 modified "2023-10-14" @default.
- W3037073046 title "Comparative (co-)pyrolytic performances and by-products of textile dyeing sludge and cattle manure: Deeper insights from Py-GC/MS, TG-FTIR, 2D-COS and PCA analyses" @default.
- W3037073046 cites W1164164483 @default.
- W3037073046 cites W1966587851 @default.
- W3037073046 cites W1969366531 @default.
- W3037073046 cites W1992102539 @default.
- W3037073046 cites W1992469412 @default.
- W3037073046 cites W2012257367 @default.
- W3037073046 cites W2014263203 @default.
- W3037073046 cites W2028316962 @default.
- W3037073046 cites W2041397602 @default.
- W3037073046 cites W2045250970 @default.
- W3037073046 cites W2053491738 @default.
- W3037073046 cites W2063431185 @default.
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- W3037073046 cites W2113221689 @default.
- W3037073046 cites W2133320229 @default.
- W3037073046 cites W2185097505 @default.
- W3037073046 cites W2327712807 @default.
- W3037073046 cites W2346710364 @default.
- W3037073046 cites W2415220651 @default.
- W3037073046 cites W2518555252 @default.
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- W3037073046 cites W2563345670 @default.
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- W3037073046 cites W2578911984 @default.
- W3037073046 cites W2587551625 @default.
- W3037073046 cites W2600045019 @default.
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- W3037073046 cites W2608265424 @default.
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- W3037073046 cites W2797605712 @default.
- W3037073046 cites W2798111432 @default.
- W3037073046 cites W2799625241 @default.
- W3037073046 cites W2801679442 @default.
- W3037073046 cites W2802130232 @default.
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- W3037073046 cites W2809717460 @default.
- W3037073046 cites W2810405413 @default.
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- W3037073046 cites W2900718933 @default.
- W3037073046 cites W2904133338 @default.
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- W3037073046 cites W2910175715 @default.
- W3037073046 cites W2912675083 @default.
- W3037073046 cites W2937984974 @default.
- W3037073046 cites W2942129316 @default.
- W3037073046 cites W2947535010 @default.
- W3037073046 cites W2954425783 @default.
- W3037073046 cites W2955477711 @default.
- W3037073046 cites W2972051170 @default.
- W3037073046 cites W2980418948 @default.
- W3037073046 cites W2982144746 @default.
- W3037073046 cites W2984272723 @default.
- W3037073046 cites W2992290733 @default.
- W3037073046 cites W2997657359 @default.
- W3037073046 cites W2999821130 @default.
- W3037073046 cites W3003715878 @default.
- W3037073046 cites W3004441207 @default.
- W3037073046 cites W3005762647 @default.
- W3037073046 cites W3006177060 @default.
- W3037073046 cites W3006208727 @default.
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- W3037073046 doi "https://doi.org/10.1016/j.jhazmat.2020.123276" @default.
- W3037073046 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32634665" @default.
- W3037073046 hasPublicationYear "2021" @default.
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