PMC:4632479 / 10396-10920 JSONTXT

{"project":"TEST0","denotations":[{"id":"26539297-187-193-1452588","span":{"begin":435,"end":437},"obj":"[\"24412593\"]"}],"text":"A central composite statistical experiment design was used to evaluate the effects of four independent variables (initial solution pH (A), initial TC concentration (B), initial S2O8−2 concentration (C) and reaction time (D)) on the TC degradation. The application of RSM provides a mathematical relationship between variables and experimental data can be fitted to an empirical second-order polynomial model as the following Eq. (8). [55–57].8 Y=β0+β1A+β2B+β3C+β4D+β12AB+β13AC+β14AD+β23BC+β24BD+β34CD+β11A2+β22B2+β33C2+β44D2"}

{"project":"2_test","denotations":[{"id":"26539297-24412593-59009427","span":{"begin":435,"end":437},"obj":"24412593"}],"text":"A central composite statistical experiment design was used to evaluate the effects of four independent variables (initial solution pH (A), initial TC concentration (B), initial S2O8−2 concentration (C) and reaction time (D)) on the TC degradation. The application of RSM provides a mathematical relationship between variables and experimental data can be fitted to an empirical second-order polynomial model as the following Eq. (8). [55–57].8 Y=β0+β1A+β2B+β3C+β4D+β12AB+β13AC+β14AD+β23BC+β24BD+β34CD+β11A2+β22B2+β33C2+β44D2"}