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<front>
<journal-meta>
<journal-id journal-id-type="pmc">JRM</journal-id>
<journal-id journal-id-type="nlm-ta">JRM</journal-id>
<journal-id journal-id-type="publisher-id">JRM</journal-id>
<journal-title-group>
<journal-title>Journal of Renewable Materials</journal-title>
</journal-title-group>
<issn pub-type="epub">2164-6341</issn>
<issn pub-type="ppub">2164-6325</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">21306</article-id>
<article-id pub-id-type="doi">10.32604/jrm.2023.021306</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Optimization of Photo-Fenton Catalyst Preparation Based Bamboo Carbon Fiber by Response Surface Methodology</article-title><alt-title alt-title-type="left-running-head">Optimization of Photo-Fenton Catalyst Preparation Based Bamboo Carbon Fiber by Response Surface Methodology</alt-title><alt-title alt-title-type="right-running-head">Optimization of Photo-Fenton Catalyst Preparation Based Bamboo Carbon Fiber by Response Surface Methodology</alt-title>
</title-group>
<contrib-group content-type="authors">
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>Wang</surname><given-names>Yizhang</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-2" contrib-type="author">
<name name-style="western"><surname>Yu</surname><given-names>Zhaoyang</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-3" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Hu</surname><given-names>Jinbo</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
<xref ref-type="aff" rid="aff-2">2</xref><email>hjb1999@hotmail.com</email>
</contrib>
<contrib id="author-4" contrib-type="author">
<name name-style="western"><surname>Chang</surname><given-names>Shanshan</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-5" contrib-type="author">
<name name-style="western"><surname>Liu</surname><given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-6" contrib-type="author">
<name name-style="western"><surname>Li</surname><given-names>Ting</given-names></name>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib id="author-7" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Liu</surname><given-names>Gonggang</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref><email>liugonggang@csuft.edu.cn</email>
</contrib>
<contrib id="author-8" contrib-type="author">
<name name-style="western"><surname>Wang</surname><given-names>Xiaodong (Alice)</given-names></name>
<xref ref-type="aff" rid="aff-3">3</xref>
</contrib>
<aff id="aff-1"><label>1</label><institution>College of Materials Science and Engineering, Central South University of Forestry and Technology</institution>, <addr-line>Changsha, 410004</addr-line>, <country>China</country></aff>
<aff id="aff-2"><label>2</label><institution>Hunan Taohuajiang Bamboo Science &#x0026; Technology Co., Ltd.</institution>, <addr-line>Yiyang, 413400</addr-line>, <country>China</country></aff>
<aff id="aff-3"><label>3</label><institution>Department of Wood and Forest Sciences, Laval University</institution>, <addr-line>Quebec, G1V 0A6</addr-line>, <country>Canada</country></aff>
</contrib-group><author-notes><corresp id="cor1"><label>&#x002A;</label>Corresponding Authors: Jinbo Hu. Email: <email>hjb1999@hotmail.com</email>; Gonggang Liu. Email: <email>liugonggang@csuft.edu.cn</email></corresp></author-notes>
<pub-date pub-type="epub" date-type="pub" iso-8601-date="2022-08-01"><day>01</day>
<month>08</month>
<year>2022</year></pub-date>
<volume>11</volume>
<issue>1</issue>
<fpage>147</fpage>
<lpage>165</lpage>
<history>
<date date-type="received"><day>07</day><month>1</month><year>2022</year></date>
<date date-type="accepted"><day>01</day><month>4</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Wang et al.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang et al.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_JRM_21306.pdf"></self-uri>
<abstract>
<p>In this paper, the residue from bamboo factory has been used to design photo-Fenton catalyst, which has the advantages of low cost and magnetic recycling. The photo-Fenton catalytic performance of the biocarbon-based catalyst was excellent and its optimal preparation process was also explored by response surface methodology. First, bamboo-carbon fiber was selected as the photo-Fenton catalyst carrier. Subsequently, the surface of the carbon fiber was modified, with which dopamine, nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub> were successively loaded by hydrothermal method. After examined single factor tests, four factors including dopamine concentration, ferric chloride mass, P25 titanium dioxide mass and liquid-solid ratio were selected to the characteristic values. The degradation efficiency of photo-Fenton catalyst to methylene blue (MB) solution was treated as the response value. After the analysis of the response surface optimization, it was showed that the significance sequence of the selected 4 factors in terms of the MB degradation efficiency was arranged as following: dopamine concentration&#x2009;&#x003E;&#x2009;liquid-solid ratio&#x2009;&#x003E;&#x2009;P25 titanium dioxide quality&#x2009;&#x003E;&#x2009;ferric chloride quality. The optimal process parameters of fiber-carbon catalyst were affirmed as following: the 1.7&#x2005;mg/mL concentration of dopamine, the 1.2 g mass of ferric chloride, the 0.2 g mass of P25 titanium dioxide and the liquid-solid ratio of 170&#x2005;mL/g. The experiment-measured average MB degradation efficiency performed by the optimized catalyst was 99.3&#x0025;, which was nearly similar to the model-predicted value of 98.9&#x0025;. It showed that the prediction model and response surface model were accurate and reliable. The results from response surface optimization could provide a good reference to design bamboo-based Fenton-like catalyst with excellent catalytic performance.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Photo-fenton catalysis</kwd>
<kwd>bamboo fiber</kwd>
<kwd>carbon fiber</kwd>
<kwd>response surface optimization</kwd>
<kwd>methylene blue</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Introduction</title>
<p>Due to the continuous development of industry dyestuff effluent has grown one of the highly hazardous and difficult-to-treat wastewater in China. Especially organic dyes are characterized by difficult to degrade, toxic and potentially cause cancer, which bring into a huge threat to human health and the living environment [<xref ref-type="bibr" rid="ref-1">1</xref>]. The commonly used treatment methods of dyestuff effluent include physical methods, chemical methods and biological methods, etc. [<xref ref-type="bibr" rid="ref-2">2</xref>]. Advanced oxidation process (AOP) can oxidize large molecules of refractory organics into low-toxic or non-toxic small molecules, which is thought to possess the advantages of high efficient and environmentally friendliness. AOP has widely used to degrade organic dyes in waste water [<xref ref-type="bibr" rid="ref-3">3</xref>]. Photo-Fenton catalytic technology is a kind of AOP by virtue of green light energy, which is generally used in the field of dyestuff effluent treatment. It is as well known that the photo-Fenton catalytic method is a low-cost, no-secondary-pollution and convenient operation [<xref ref-type="bibr" rid="ref-4">4</xref>].</p>
<p>The photo-Fenton system could generate a large number of highly reactive free radicals by the interaction of catalysts, hydrogen peroxide and light, which can decompose the organic dyes in the wastewater into CO<sub>2</sub>, H<sub>2</sub>O and inorganic substances [<xref ref-type="bibr" rid="ref-5">5</xref>]. Photo-Fenton catalysts has been classified into two categories, namely homogeneous and heterogeneous photo-Fenton catalysts. It has been proved that homogeneous photo-Fenton catalyst has been characterized the strong oxidation ability and high removal rate of refractory substances, however, it is difficult to recycle, separate and operate [<xref ref-type="bibr" rid="ref-6">6</xref>]. The heterogeneous photo-Fenton catalyst has the advantages of high oxidation efficiency, low H<sub>2</sub>O<sub>2</sub> consumption, wide effective pH window, easy regeneration and separation, etc. [<xref ref-type="bibr" rid="ref-7">7</xref>&#x2013;<xref ref-type="bibr" rid="ref-9">9</xref>]. According to the existence form of active ingredients, heterogeneous photo-Fenton catalysts can be divided into unsupported catalysts and supported catalysts [<xref ref-type="bibr" rid="ref-10">10</xref>]. The application of unsupported catalysts has been limited because of the disadvantages of facile agglomeration difficult separation and unrecyclability [<xref ref-type="bibr" rid="ref-11">11</xref>], hence the supported catalysts is popular. The suitable carrier overspreaded with nano-size catalysts could be rendered the photo-Fenton catalyst of degradation efficiency accompanying with the synergistic effects, such as enhancing the light absorption and adsorption enrichment of pollutants.</p>
<p>Nowadays, various catalyst carriers have been used to design high-efficiency photo-Fenton catalyst, especially for carbon materials with excellent light absorption capacity. Graphene oxide coated nano additives of ferric oxide (Fe<sub>3</sub>O<sub>4</sub>/GO) is employed as the digestion of bisphenol A, that a heterogeneous catalyst for photo-Fenton reaction is prepared by coprecipitation method [<xref ref-type="bibr" rid="ref-12">12</xref>]. Likewise, nano-TiO<sub>2</sub> photocatalyst is fashionably used in photo-Fenton catalysis. Graphene oxide coated ferric oxide and titanium dioxide (Fe<sub>3</sub>O<sub>4</sub>/GO/TiO<sub>2</sub>) is performed to significantly decompose Congo red, which was prepared by hydrothermal method [<xref ref-type="bibr" rid="ref-13">13</xref>]. The multiwalled carbon nanotubes has also been chosen as a photo-Fenton catalyst carrier, which has been designed to attach ferric oxide and TiO<sub>2</sub> as an excellent photo-Fenton catalyst [<xref ref-type="bibr" rid="ref-14">14</xref>,<xref ref-type="bibr" rid="ref-15">15</xref>]. Although graphene, carbon nanotubes and other nanocarriers have been expanded to apply in the catalyst of excellent performance, they have been explored some defects, such as, high prices and difficult recycle. It is not so easy to apply in a large-scale wastewater treatment. In addition, nano-sized catalyst has been detected to potentially have an ecological risk, which would cause secondary pollution to the water body. Hence, biomass-derived carbon as catalyst carrier has been considered a extensive choice due to low cost, renewability, micrometer-scale and good biocompatibility [<xref ref-type="bibr" rid="ref-16">16</xref>&#x2013;<xref ref-type="bibr" rid="ref-18">18</xref>].</p>
<p>In this study, bamboo-carbon fiber extracted from waste bamboo shavings is investigated as a catalyst carrier. The surface of carbonized-treated fiber is going to modify by polydopamine, which the high-activity functional groups could successively be clad by hydrothermal method, such as nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub>. A magnetically recyclable photo-Fenton catalyst could be prepared namely TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF. The preparation process will be emphatically optimized by response surface methodology. The 60-minute degradation efficiency of methylene blue solution (MB) will be taken as the target parameter. The dopamine concentration, the quality of ferric chloride, the quality of P25 nano-TiO<sub>2</sub>, and solid-liquid ratio are chosen in the single-factor experiment. Then, the response surface methodology is examined to seek the optimal conditions of catalyst preparation.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Materials and Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Chemicals and Materials</title>
<p>Bamboo shavings used in this study was received from Hunan Taohuajiang Bamboo Technology Co., Ltd., China.</p>
<p>NaOH, ascorbic acid, dopamine hydrochloride, Tris-HCl (NH<sub>2</sub>C(CH<sub>2</sub>OH)<sub>3</sub>&#x22C5;HCl), FeCl<sub>3</sub>&#x22C5;6H<sub>2</sub>O, Na<sub>2</sub>CO<sub>3</sub>, H<sub>2</sub>O<sub>2</sub> (30&#x0025;), methylene blue (MB) and P25 TiO<sub>2</sub> were purchased from Sinopharm Chemical Reagent Co., Ltd. (China) which is used directly.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Methods</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Preparation of Bamboo Fiber</title>
<p>Bamboo shavings were first crushed into 270 &#x03BC;m bamboo powder by a pulverizer. Then 0.5 g of the bamboo powder was placed in a beaker. A 20&#x2005;mL 6&#x2005;mol/L NaOH was added to a beaker. Finally, the mixture was put into the hydrothermal reactor for hydrothermal reaction at 160&#x00B0;C for 24 h. It was taken out after cooling, then washed with deionized water until neutral, and then dried for some successive essays.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Preparation of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF Catalyst</title>
<p>First, the fiber was calcined in an argon atmosphere at 500&#x00B0;C for 2 h to obtain carbon fiber (abbreviated to CF). CFs were immersed into the dopamine hydrochloride solution with Tris-HCl at a pH value of 9 when stirring for 8&#x2005;h. After that, the deposit of a polydopamine (abbreviated to PDA) layer was anchored on the surface of carbon fibers (abbreviated to PDA/CF). PDA/CF was immersed into FeCl<sub>3</sub> solutions in a ultrasound for 30 min, where Na<sub>2</sub>CO<sub>3</sub> and ascorbic acid were added. The mixed solution was performed a hydrothermal reaction at 160&#x00B0;C for 24 h (abbreviated to Fe<sub>3</sub>O<sub>4</sub>/PDA/CF). When Fe<sub>3</sub>O<sub>4</sub>/PDA/CF was subsequently immersed into NaOH solutions, P25 TiO<sub>2</sub> were added and completed in the hydrothermal reaction at 160&#x00B0;C for 24 h. Finally, the samples were repeatedly washed with deionized water (abbreviated to TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF).</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Catalytic Degradation Experiments</title>
<p>0.1 g of the prepared catalyst was added to 200&#x2005;mL MB solution, that the concentration of MB was 10&#x2005;mg/L. Then, 0.1&#x2005;mol/L H<sub>2</sub>O<sub>2</sub> solution was added without adjusting the pH value. The beaker holding the mixed solution was lighted by a xenon lamp for 60 min. Here the xenon lamp was simulated the sunlight, which was set to degrade MB. When performed a lighted degradation, the 5&#x2005;mL solution was taken out by a dropper every 10 min. The 10-minute degraded solution was in sequence centrifuged and gotten the supernatant, which was examined by UV-Vis spectrophotometer. The MB degradation efficiency could be obtained:<disp-formula id="eqn-1"><label>(1)</label><mml:math id="mml-eqn-1" display="block"><mml:mtext>MB&#x2009;degradation&#x2009;efficiency</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mo stretchy='false'>(</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mtext>t</mml:mtext></mml:msub><mml:mo stretchy='false'>)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow></mml:mfrac><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn><mml:mi>&#x0025;</mml:mi></mml:math></disp-formula>where C<sub>0</sub> and C<sub>t</sub> represent the absorbance of MB at initial and desired time intervals. The degradation efficiency of MB in this study was calculated according to <xref ref-type="disp-formula" rid="eqn-1">formula (1)</xref>.</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Characterization</title>
<p>Morphology of photo-Fenton catalysts were investigated by scanning electron microscope (Nova, Nano SEM230, USA). The photo-Fenton catalysts were examined by XRD analysis, which was the X&#x2019;Pert X-ray powder diffractometer (D/MAX-2500, Rigaku, Japan) equipped with Cu K&#x03B1; radiation source. The surface chemical composition and elemental analysis of photo-Fenton catalysts were conducted by X-ray photoelectronic spectroscopy (XPS, Escalab 250 XPS system, Thermo Fisher Scientific UK). The 752N UV-V is spectrophotometer was used to analyze the suspension of treated wastewater sample, which was executed by a detection wavelength at 664&#x2005;nm corresponding to the maximum absorbance of MB.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Results and Discussion</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characterization of Photo-Fenton Catalysts</title>
<p>In order to further study the microstructure of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst, the SEM images of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF were provided as shown in <xref ref-type="fig" rid="fig-1">Figs. 1a</xref>&#x2013;<xref ref-type="fig" rid="fig-1">1c</xref>. From <xref ref-type="fig" rid="fig-1">Figs. 1a</xref>, <xref ref-type="fig" rid="fig-1">1b</xref>, TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF shows a typical micro-fibrous structure with a diameter of about 2&#x223C;3 &#x03BC;m. The SEM images of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst at a higher magnification large number of nanoparticles and PDA coating are dispersed on the surface of CF as shown in <xref ref-type="fig" rid="fig-1">Figs. 1b</xref>, <xref ref-type="fig" rid="fig-1">1c</xref>. In order to study the chemical composition and nanoparticles distribution, the elemental mapping under the magnifications of <xref ref-type="fig" rid="fig-1">Fig. 1c</xref> is provided in <xref ref-type="fig" rid="fig-1">Figs. 1d</xref>&#x2013;<xref ref-type="fig" rid="fig-1">1h</xref>. It could be seen that N, Fe, and Ti are homogeneously distributed on the surface of PDA/CF. N element comes from amino groups on modified PDA. Fe and Ti elements come from CF surface loaded nanoparticles. The results show that the nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub> were successfully loaded on the PDA/CF surface.</p>
<fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>(a, b, c) SEM images of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF and (d, e, f, g, h) C, N, O, Fe, Ti elemental mapping of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-1.png"/>
</fig>
<p>XRD pattern of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst is as shown in <xref ref-type="fig" rid="fig-2">Fig. 2</xref>. <xref ref-type="fig" rid="fig-2">Fig. 2</xref> presents to the six typical characteristic peaks 30.2&#x00B0;, 35.5&#x00B0;, 43.2&#x00B0;, 53.5&#x00B0;, 57.1&#x00B0;, and 62.5&#x00B0; which can be assigned to (220), (311), (400), (422), (511) and (440) planes with inverse-spinel structure of Fe<sub>3</sub>O<sub>4</sub> (JCPDS no. 19&#x2013;0629). In addition, <xref ref-type="fig" rid="fig-2">Fig. 2</xref> also presents to the three typical characteristic peaks 25.3&#x00B0;, 48.1&#x00B0;, and 62.7&#x00B0; which can be assigned to (101), (200) and (204) planes with anatase of TiO<sub>2</sub> (JCPDS No. 84-1258). It is mainly due to the cladding from nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub> loading. Therefore, XRD results can further prove that the nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub> were successfully loaded on the PDA/CF surface.</p>
<fig id="fig-2">
<label>Figure 2</label>
<caption>
<title>XRD pattern of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-2.png"/>
</fig>
<p>The surface chemical compositions of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF were further investigated by X-ray photoelectron spectroscopy, and the results are shown in <xref ref-type="fig" rid="fig-3">Fig. 3</xref>. As shown in <xref ref-type="fig" rid="fig-3">Fig. 3a</xref>, TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF contain O 1s, C 1s, N 1s, Fe 2p, and Ti 2p peaks. It can be seen from the <xref ref-type="fig" rid="fig-3">Fig. 3</xref> that the photo-Fenton catalyst contain N, Fe and Ti elements. As shown in <xref ref-type="fig" rid="fig-3">Fig. 3b</xref>, two typical peaks of Fe 2p states (Fe 2p<sub>1/2</sub> and Fe 2p<sub>3/2</sub>) at 723.78 and 710.28&#x2005;eV were observed for TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF, which is the mixed oxidation state of Fe in Fe<sub>3</sub>O<sub>4</sub> [<xref ref-type="bibr" rid="ref-19">19</xref>]. As shown in <xref ref-type="fig" rid="fig-3">Fig. 3c</xref>, two typical peaks of Ti 2p states (Ti 2p<sub>1/2</sub> and Ti 2p<sub>3/2</sub>) at 463.58 and 457.88&#x2005;eV were observed for TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF, which is the mixed oxidation state of Ti in TiO<sub>2</sub> [<xref ref-type="bibr" rid="ref-20">20</xref>]. The results from XPS spectrum also confirm that the successful PDA modification and nano-Fe<sub>3</sub>O<sub>4</sub>/TiO<sub>2</sub> loading on the surface of CF.</p>
<fig id="fig-3">
<label>Figure 3</label>
<caption>
<title>XPS spectra of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF: (a) the survey scan of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF, (b) Fe 2p region of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF, (c) Ti 2p region of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-3.png"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Catalytic Performance Analysis</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Single-Factor Experiment</title>
<p>The effect of dopamine concentration on the degradation efficiency of MB solution is shown in <xref ref-type="fig" rid="fig-4">Fig. 4</xref>. The dosage of carbon fiber and ferric chloride are 0.3 and 0.6 g, while the mass of P25 and liquid-solid ratio are 0.05 g and 100. It can be seen from <xref ref-type="fig" rid="fig-4">Fig. 4</xref> that the MB degradation efficiency gradually increases when the dopamine concentration changes from 0.5 to 2.5&#x2005;mg/mL. The maximum value of 97.6&#x0025; was reached at 2.5&#x2005;mg/mL, and the degradation efficiency subsequently fluctuated little. This is because the surface of the carbon fiber has fewer functional groups, and the polydopamine modification plays an important role in providing highly active functional groups which allows sufficient loading sites for the loading of inorganic nanoparticles. When the dopamine content is low, the dopamine polymer modified on the surface of the carbon fiber is not dense enough. This will result in insufficient active sites to load subsequent functional nanoparticles. When the dopamine content is further increased, a dense polydopamine coating layer may be formed on the surface of the carbon fiber with saturated active sites. This will allow the subsequent catalyst to have saturated active sites, and the catalytic degradation performance will remain unchanged.</p>
<fig id="fig-4">
<label>Figure 4</label>
<caption>
<title>The effect of dopamine concentration on MB degradation efficiency</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-4.png"/>
</fig>
<p>The effect of ferric chloride usage on the degradation efficiency of MB solution is shown in <xref ref-type="fig" rid="fig-5">Fig. 5</xref>. The dosage of carbon fiber and the dopamine concentration are 0.3 g and 0.5&#x2005;mg/mL, while the P25 and liquid-to-solid ratio are 0.05 g and 100. It can be seen from <xref ref-type="fig" rid="fig-5">Fig. 5</xref> that when ferric chloride usage increases from 0.6 to 1.4 g, the MB degradation efficiency shows a steady upward trend. Then it basically remains unchanged after reaching 1.4 g. The reason is that Fe<sub>3</sub>O<sub>4</sub> nanoparticles mainly play the key role of catalytic degradation in the photo-Fenton catalytic system. Ferric chloride is the source of iron for the growth of Fe<sub>3</sub>O<sub>4</sub> nanoparticles. When the amount of added ferric chloride is insufficient, a large amount of Fe<sub>3</sub>O<sub>4</sub> nanoparticles are difficult to form on the surface of the carbon fiber. This will affect the generation of hydroxyl radicals in catalytic degradation process and lead to the reduction of catalytic activity. When too much ferric chloride is added, the adsorption sites on the surface of the polydopamine modified carbon fiber are close to saturation. This will cause the loading of Fe<sub>3</sub>O<sub>4</sub> nanoparticles to remain basically unchanged, making the catalytic degradation performance basically no longer increase.</p>
<fig id="fig-5">
<label>Figure 5</label>
<caption>
<title>The effect of ferric chloride quality on MB degradation efficiency</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-5.png"/>
</fig>
<p>The effect of the mass of P25 on the MB degradation efficiency is shown in <xref ref-type="fig" rid="fig-6">Fig. 6</xref>. The carbon fiber usage and the dopamine concentration are 0.3 g and 0.5&#x2005;mg/mL, while the ferric chloride mass and the liquid-to-solid ratio are 0.6 g and 100&#x2005;mL/g. It can be seen from <xref ref-type="fig" rid="fig-6">Fig. 6</xref> that when the mass of P25 increases from 0.05 to 0.25 g, the MB degradation efficiency continues to increase. It reached the maximum value of 99.1&#x0025; at 0.25&#x2005;g, and then showed a slow downward trend. The low quality of P25 will affect the amount of formed nano titanium dioxide loaded on the carbon fiber. This will result in low light absorption efficiency in photo-Fenton catalysis. The high quality of P25 results in that part of P25 cannot be completely dissolved in a strong alkaline solution under high temperature and high pressure, which will be mixed in the prepared catalyst. This will cause the reduction of effective component of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF which participates in the reaction.</p>
<fig id="fig-6">
<label>Figure 6</label>
<caption>
<title>The effect of P25 TiO<sub>2</sub> quality on MB degradation efficiency</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-6.png"/>
</fig>
<p>The effect of the liquid-solid ration on the MB degradation efficiency is shown in <xref ref-type="fig" rid="fig-7">Fig. 7</xref>. The carbon fiber usage and the dopamine concentration are 0.3 g and 0.5&#x2005;mg/mL, while the mass of ferric chloride and P25 are 0.6 g and 0.05 g. It can be seen from <xref ref-type="fig" rid="fig-7">Fig. 7</xref> that when the liquid-to-solid ratio increases from 100 to 175&#x2005;mL/g, the MB degradation efficiency continues to increase. It reached the maximum value of 99.0&#x0025; at 175&#x2005;mL/g, and then showed a slow downward trend. Because too little solution will result in too small contact area between liquid phase and solid phase, nanoparticles cannot be completely monodisperse in the solution during the reaction. However, too much solution can lead to the cover of the surface of the photo-Fenton catalyst by residual P25 and ferric chloride, reducing its adsorption performance.</p>
<fig id="fig-7">
<label>Figure 7</label>
<caption>
<title>The effect of liquid-solid ratio on MB degradation efficiency</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-7.png"/>
</fig>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Response Surface Optimization</title>
<p>The optimal conditions obtained in the above single factor experiment did not consider the interaction between the factors. In order to further study the interaction between the factors in the MB degradation efficiency, the response surface analysis method was used to optimize the process conditions. And Box-Behnken experimental design principle was employed in the response surface method. The final MB degradation efficiency after 60 min is selected as the response value, and 4 factors that have an impact on the MB degradation efficiency: dopamine concentration (A), ferric chloride quality (B), P25 quality (C), liquid-solid ratio (D) as the characteristic value, a 4-factor 3-level response surface analysis test was performed, with &#x2212;1, 0, and 1 respectively representing the level of the variable. The relationship between the 3 level codes of the 4 factors and the test values is presented in <xref ref-type="table" rid="table-1">Table 1</xref>.</p>
<table-wrap id="table-1"><label>Table 1</label>
<caption>
<title>Factors levels and code of Box-Behnken design</title></caption>
<table><colgroup><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/>
</colgroup>
<thead>
<tr>
<th align="left">Levels</th>
<th align="left">Dopamine A/(mg/mL)</th>
<th align="left">FeCl<sub>3</sub> B/(g)</th>
<th align="left">P25 TiO<sub>2</sub> C/(g)</th>
<th align="left">Liquid-solid ratio D/(mL/g)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">&#x2212;1</td>
<td align="left">0.5</td>
<td align="left">0.6</td>
<td align="left">0.05</td>
<td align="left">100</td>
</tr>
<tr>
<td align="left">0</td>
<td align="left">1.5</td>
<td align="left">1.2</td>
<td align="left">0.20</td>
<td align="left">150</td>
</tr>
<tr>
<td align="left">1</td>
<td align="left">2.5</td>
<td align="left">1.8</td>
<td align="left">0.35</td>
<td align="left">200</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The preparation process of the bamboo fiber-based photo-Fenton catalyst adopts the Box-Behnken experimental design. The final MB degradation efficiency after 60 min is selected as the response value. The response surface experimental results are shown in <xref ref-type="table" rid="table-2">Table 2</xref>.</p>
<table-wrap id="table-2"><label>Table 2</label>
<caption>
<title>The Box-Behnken design of degradation of MB by photo-Fenton catalyst</title></caption>
<table><colgroup><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/>
</colgroup>
<thead>
<tr>
<th align="left">No.</th>
<th align="left">Dopamine A/(mg/mL)</th>
<th align="left">FeCl<sub>3</sub> B/(g)</th>
<th align="left">P25 TiO<sub>2</sub> C/(g)</th>
<th align="left">Liquid-solid ratio D/(mL/g)</th>
<th align="left">MB degradation efficiency R/(&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">98.5</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">93.2</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">99.0</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">92.7</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">94.3</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">94.9</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">96.1</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">89.9</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">92.2</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">&#x2212;1</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">90.2</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">94.1</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">1</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">93.4</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">&#x2212;1</td>
<td align="left">94.7</td>
</tr>
<tr>
<td align="left">14</td>
<td align="left">&#x2212;1</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">90.3</td>
</tr>
<tr>
<td align="left">15</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">91.3</td>
</tr>
<tr>
<td align="left">16</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">1</td>
<td align="left">94.1</td>
</tr>
<tr>
<td align="left">17</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">91.0</td>
</tr>
<tr>
<td align="left">18</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">93.2</td>
</tr>
<tr>
<td align="left">19</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">97.8</td>
</tr>
<tr>
<td align="left">20</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">90.2</td>
</tr>
<tr>
<td align="left">21</td>
<td align="left">1</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">92.3</td>
</tr>
<tr>
<td align="left">22</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">98.1</td>
</tr>
<tr>
<td align="left">23</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">99.0</td>
</tr>
<tr>
<td align="left">24</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">95.3</td>
</tr>
<tr>
<td align="left">25</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">92.9</td>
</tr>
<tr>
<td align="left">26</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">1</td>
<td align="left">96.4</td>
</tr>
<tr>
<td align="left">27</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">91.3</td>
</tr>
<tr>
<td align="left">28</td>
<td align="left">0</td>
<td align="left">1</td>
<td align="left">&#x2212;1</td>
<td align="left">0</td>
<td align="left">90.5</td>
</tr>
<tr>
<td align="left">29</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2212;1</td>
<td align="left">&#x2212;1</td>
<td align="left">92.5</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Use Design-Expert 10.0.3 software to analyze the experimental data and get the quadratic polynomial regression equation:</p>
<p>MB degradation efficiency (R) &#x003D; 98.452&#x2009;&#x002B;&#x2009;1.33917A&#x2009;&#x2212;&#x2009;0.08B&#x2009;&#x002B;&#x2009;0.868333C&#x2009;&#x002B;&#x2009;1.07917D&#x2009;&#x002B;&#x2009;0.25</p>
<p>25AB&#x2009;&#x002B;&#x2009;0.8775AC&#x2009;&#x2212;&#x2009;0.2675AD&#x2009;&#x002B;&#x2009;0.08BC&#x2009;&#x002B;&#x2009;1.4175BD&#x2009;&#x002B;&#x2009;0.0425CD&#x2009;&#x2212;&#x2009;3.23767A2&#x2009;&#x2212;&#x2009;3.86642B2&#x2009;&#x2212;&#x2009;2.81142C2&#x2009;&#x2212;&#x2009;1.41267D2.</p>
<p>As presented in <xref ref-type="table" rid="table-3">Table 3</xref>, analysis of variance (ANOVA) was used to test the importance level of this model. The <italic>F</italic> value can be used to test the significance of the impact of each variable on the response value. The larger the F value, the higher the significance of the corresponding variable. When the model&#x2019;s significance test probability is <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05, the model is considered to be statistically significant. It can be seen from <xref ref-type="table" rid="table-3">Table 3</xref> that the order of the influence of process conditions on MB degradation efficiency is: A&#x2009;&#x003E;&#x2009;D&#x2009;&#x003E;&#x2009;C&#x2009;&#x003E;&#x2009;B, that is, dopamine concentration&#x2009;&#x003E;&#x2009;liquid-solid ratio&#x2009;&#x003E;&#x2009;P25 quality&#x2009;&#x003E;&#x2009;ferric chloride quality. The coefficient of determination R<sup>2</sup> of the model is 0.9777, indicating that the model is highly significant. R<sup>2</sup>adj&#x2009;&#x003D;&#x2009;0.9554, which can explain 95.5&#x0025; of the experimental response value variation. R<sup>2</sup> is close to the predicted correlation coefficient Pred R<sup>2</sup>, indicating that the experimental model fits well with the real data and has practical guiding significance. Therefore, the response surface optimization model can be used to design and optimize experimental conditions.</p>
<table-wrap id="table-3"><label>Table 3</label>
<caption>
<title>ANOVA data for the model of degradation of MB by photo-Fenton catalyst</title></caption>
<table><colgroup><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/><col align="left"/>
</colgroup>
<thead>
<tr>
<th align="left">Source</th>
<th align="left">Sum of squares</th>
<th align="left">Freedom degree</th>
<th align="left">Variance</th>
<th align="left"><italic>F</italic>-value</th>
<th align="left"><italic>P</italic>-value</th>
<th align="left">Significance</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Model</td>
<td align="left">215.06</td>
<td align="left">14</td>
<td align="left">15.36</td>
<td align="left">43.81</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">A</td>
<td align="left">21.52</td>
<td align="left">1</td>
<td align="left">21.52</td>
<td align="left">61.38</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">B</td>
<td align="left">0.077</td>
<td align="left">1</td>
<td align="left">0.077</td>
<td align="left">0.22</td>
<td align="left">0.6470</td>
<td align="center"/>
</tr>
<tr>
<td align="left">C</td>
<td align="left">9.05</td>
<td align="left">1</td>
<td align="left">9.05</td>
<td align="left">25.81</td>
<td align="left">0.0002</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">D</td>
<td align="left">13.98</td>
<td align="left">1</td>
<td align="left">13.98</td>
<td align="left">39.86</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">AB</td>
<td align="left">0.26</td>
<td align="left">1</td>
<td align="left">0.26</td>
<td align="left">0.73</td>
<td align="left">0.4081</td>
<td align="center"/>
</tr>
<tr>
<td align="left">AC</td>
<td align="left">3.08</td>
<td align="left">1</td>
<td align="left">3.08</td>
<td align="left">8.78</td>
<td align="left">0.0103</td>
<td align="left">&#x002A;</td>
</tr>
<tr>
<td align="left">AD</td>
<td align="left">0.29</td>
<td align="left">1</td>
<td align="left">0.29</td>
<td align="left">0.82</td>
<td align="left">0.3815</td>
<td align="center"/>
</tr>
<tr>
<td align="left">BC</td>
<td align="left">0.026</td>
<td align="left">1</td>
<td align="left">0.026</td>
<td align="left">0.073</td>
<td align="left">0.7909</td>
<td align="center"/>
</tr>
<tr>
<td align="left">BD</td>
<td align="left">8.04</td>
<td align="left">1</td>
<td align="left">8.04</td>
<td align="left">22.92</td>
<td align="left">0.0003</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">CD</td>
<td align="left">7.225E&#x2009;&#x2212;&#x2009;003</td>
<td align="left">1</td>
<td align="left">7.225E&#x2009;&#x2212;&#x2009;003</td>
<td align="left">0.021</td>
<td align="left">0.8879</td>
<td align="center"/>
</tr>
<tr>
<td align="left">A<sup>2</sup></td>
<td align="left">67.99</td>
<td align="left">1</td>
<td align="left">67.99</td>
<td align="left">193.92</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">B<sup>2</sup></td>
<td align="left">96.97</td>
<td align="left">1</td>
<td align="left">96.97</td>
<td align="left">276.55</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">C<sup>2</sup></td>
<td align="left">51.27</td>
<td align="left">1</td>
<td align="left">51.27</td>
<td align="left">146.22</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">D<sup>2</sup></td>
<td align="left">12.94</td>
<td align="left">1</td>
<td align="left">12.94</td>
<td align="left">36.92</td>
<td align="left">&#x003C;0.0001</td>
<td align="left">&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left">Residual</td>
<td align="left">4.91</td>
<td align="left">14</td>
<td align="left">0.35</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Lack of fit</td>
<td align="left">3.71</td>
<td align="left">10</td>
<td align="left">0.37</td>
<td align="left">1.24</td>
<td align="left">0.4521</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Pure error</td>
<td align="left">1.20</td>
<td align="left">4</td>
<td align="left">0.30</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Total</td>
<td align="left">219.97</td>
<td align="left">28</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3_1">
<p>Note: R<sup>2</sup>&#x2009;&#x003D;&#x2009;0.9777, R<sub>2</sub>adj&#x2009;&#x003D;&#x2009;0.9554, Pred R<sup>2</sup>&#x2009;&#x003D;&#x2009;0.8943.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>It can be seen from <xref ref-type="fig" rid="fig-8">Fig. 8</xref> that the influence trend of the interaction between dopamine concentration and ferric chloride quality on the MB degradation efficiency presents a parabolic surface distribution. The MB degradation efficiency first increased and then decreased with the increase of dopamine concentration and ferric chloride quality. Dopamine concentration causes greater fluctuations in the curved surface that first increases and then decreases, indicating that it has a more significant impact on the MB degradation efficiency. Because the surface of carbon fiber is inert and has fewer active functional groups, while dopamine contains more active functional groups including amino and phenolic hydroxyl [<xref ref-type="bibr" rid="ref-21">21</xref>]. The surface modification and adhesion of dopamine can form a polydopamine coating on the surface of carbon fibers and provide highly active functional groups, which can provide adsorption sites for the loading of more inorganic nanoparticles [<xref ref-type="bibr" rid="ref-22">22</xref>,<xref ref-type="bibr" rid="ref-23">23</xref>]. On the other hand, carbon fibers with a polydopamine coating layer can promote the dispersion and anchoring of inorganic nanoparticles. This can also avoid agglomeration between particles and meet the requirements of high dispersion and low agglomeration of catalyst nanoparticles [<xref ref-type="bibr" rid="ref-24">24</xref>,<xref ref-type="bibr" rid="ref-25">25</xref>]. Dopamine modifies the surface of carbon fibers to form a polydopamine coating, which can prevent the agglomeration of Fe<sub>3</sub>O<sub>4</sub> nanoparticles [<xref ref-type="bibr" rid="ref-26">26</xref>,<xref ref-type="bibr" rid="ref-27">27</xref>]. The Fe<sub>3</sub>O<sub>4</sub> nanoparticles can be uniformly loaded on the surface of the carbon fiber, and the degradation ability of the catalyst can be improved. Hence, under moderate conditions which dopamine concentration and ferric chloride mass are 1.5&#x2013;2.0&#x2005;mg/mL and 1.0&#x2013;1.3 g, the MB degradation efficiency can be significantly increased.</p>
<fig id="fig-8">
<label>Figure 8</label>
<caption>
<title>Interaction between dopamine concentration and FeCl<sub>3</sub> quality (a) Plane contour map and (b) Stereo response surface map</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-8.png"/>
</fig>
<p><xref ref-type="fig" rid="fig-9">Fig. 9</xref> shows the three-dimensional curved surfaces and contours of the influences of two factors on the MB degradation efficiency. It can be seen from <xref ref-type="fig" rid="fig-9">Fig. 9</xref> that the two-factor interactive surface has a large longitudinal span and the contour line is obviously elliptical. It shows that the interaction of the two factors has a significant impact on the MB degradation efficiency. TiO<sub>2</sub> nanoparticles loading on the surface of carbon fibers could be formed via the dissociation and reorganization of the crystal structure of P25 in a concentrated alkaline solution [<xref ref-type="bibr" rid="ref-28">28</xref>]. And the modification of carbon fiber by polydopamine can increase the loading content of formed TiO<sub>2</sub> nanoparticles on the surface of carbon fiber. On the other hand, the polydopamine coating of carbon fiber can also prevent agglomeration between TiO<sub>2</sub> nanoparticles. Hence, the modification of dopamine plays a key role in the uniform and firm loading of nanoparticles on the surface of carbon fibers. Therefore, the influence of dopamine plays a major role, and the fluctuation range caused by it will be slightly larger. The results of MB degradation efficiency showed a first increase and then a decrease with the increase of dopamine concentration and P25 titanium dioxide mass. Therefore, under moderate conditions which dopamine concentration and P25 mass are 1.5&#x2013;2.0&#x2005;mg/mL and 0.17&#x2013;0.29&#x2005;g, the MB degradation efficiency can be significantly increased.</p>
<fig id="fig-9">
<label>Figure 9</label>
<caption>
<title>Interaction between dopamine concentration and P25 TiO<sub>2</sub> quality (a) Plane contour map and (b) Stereo response surface map</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-9.png"/>
</fig>
<p>It can be seen from <xref ref-type="fig" rid="fig-10">Fig. 10</xref> that the MB degradation efficiency first increased and then decreased with the increase of dopamine concentration and liquid-solid ratio. Dopamine concentration has a greater change in MB degradation efficiency, indicating that dopamine concentration has a more significant impact on MB degradation efficiency. Both Fe<sub>3</sub>O<sub>4</sub> and TiO<sub>2</sub> nanoparticles are prepared by in situ loading on carbon fiber by hydrothermal method. Liquid-solid ratio refers to the ratio of the added solution to the mass of carbon fiber, and has nothing to do with the liquid concentration. Therefore, dopamine is an important factor for the uniform and abundant loading of Fe<sub>3</sub>O<sub>4</sub> and TiO<sub>2</sub> nanoparticles on the surface of carbon fibers, leading to greater fluctuations caused by dopamine.</p>
<fig id="fig-10">
<label>Figure 10</label>
<caption>
<title>Interaction between dopamine concentration and liquid-solid ratio (a) Plane contour map and (b) Stereo response surface map</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-10.png"/>
</fig>
<p>It can be seen from <xref ref-type="fig" rid="fig-11">Fig. 11</xref> that when the mass of ferric chloride is less than 1.2&#x2005;g, the MB degradation efficiency is positively correlated with it. When the mass of ferric chloride is greater than 1.2&#x2005;g, the correlation will change. When the mass of ferric chloride is around 1.2&#x2005;g, this is the critical optimum process parameter of MB degradation efficiency. In the same way, the critical optimum parameter of MB degradation efficiency changing with the quality of P25 TiO<sub>2</sub> is about 0.23&#x2005;g. This may be because the FeCl<sub>3</sub> solution realizes the in-situ loading of Fe<sub>3</sub>O<sub>4</sub> nanoparticles on the surface of the carbon fiber by the hydrothermal reaction and the contained Fe<sup>2&#x002B;</sup> oxidizes to Fe<sup>3&#x002B;</sup> at a faster rate. However, Fe<sup>3&#x002B;</sup> continues to react with H<sub>2</sub>O<sub>2</sub> and &#x22C5;HO<sub>2</sub> to form Fe<sup>2&#x002B;</sup>, so it is a continuous cycle of Fe<sup>3&#x002B;</sup>/Fe<sup>2&#x002B;</sup> and H<sub>2</sub>O<sub>2</sub>. This shows that nano-Fe<sub>3</sub>O<sub>4</sub> is extremely important. The reaction process is as follows [<xref ref-type="bibr" rid="ref-29">29</xref>,<xref ref-type="bibr" rid="ref-30">30</xref>]: Fe<sup>2&#x002B;</sup> &#x002B; H<sub>2</sub>O<sub>2</sub> &#x2192; Fe<sup>3&#x002B;</sup> &#x002B; (OH)<sup>&#x2212;</sup> &#x002B; &#x22C5;OH, H<sub>2</sub>O<sub>2</sub> &#x002B; Fe<sup>3&#x002B;</sup> &#x2192; Fe<sup>2&#x002B;</sup> &#x002B; &#x22C5;HO<sub>2</sub> &#x002B; H<sup>&#x002B;</sup>, Fe<sup>2&#x002B;</sup> &#x002B; &#x22C5;OH &#x2192; Fe<sup>3&#x002B;</sup> &#x002B; (OH)<sup>&#x2212;</sup>, Fe<sup>3&#x002B;</sup> &#x002B; &#x22C5;HO<sub>2</sub> &#x2192; Fe<sup>2&#x002B;</sup> &#x002B; O<sub>2</sub>&#x2009;&#x002B;&#x2009;2H<sup>&#x002B;</sup>. In the photo-Fenton catalytic system, nano-TiO<sub>2</sub> can absorb ultraviolet rays and accelerate the reaction rate [<xref ref-type="bibr" rid="ref-31">31</xref>,<xref ref-type="bibr" rid="ref-32">32</xref>]. Nano TiO<sub>2</sub> could produce electron-hole pairs after absorbing ultraviolet rays. These electron-hole pairs migrate to the surface of nano-TiO<sub>2</sub> and react with organic matter on the surface of nano-TiO<sub>2</sub> to produce hydroxyl radicals [<xref ref-type="bibr" rid="ref-33">33</xref>]. These hydroxyl radicals from nano-TiO<sub>2</sub> and the hydroxyl radicals generated by the nano-Fe<sub>3</sub>O<sub>4</sub> catalysis together play a catalytic degradation effect, so the reaction efficiency is accelerated. Both have a significant impact on the MB degradation efficiency, so there is little difference in the fluctuation range caused.</p>
<fig id="fig-11">
<label>Figure 11</label>
<caption>
<title>Interaction between quality of ferric chloride and the quality of P25 titanium dioxide (a) Plane contour map and (b) Stereo response surface map</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-11.png"/>
</fig>
<p>As shown in <xref ref-type="fig" rid="fig-12">Figs. 12a</xref> and <xref ref-type="fig" rid="fig-12">12b</xref>, the ferric chloride quality and the liquid-solid ratio are 0.9&#x2013;1.5&#x2005;g and 140&#x2013;200&#x2005;mL/g. This is the maximum distribution area of the curved surface, which is beneficial to promote the increasing degradation efficiency of MB. As shown in <xref ref-type="fig" rid="fig-12">Figs. 12c</xref> and <xref ref-type="fig" rid="fig-12">12d</xref>, MB degradation efficiency first increases and then decreases with the increase of P25 mass and liquid-to-solid ratio. Take the moderate level combination: the quality of P25 is 0.23&#x2005;g and the liquid-solid ratio is around 160&#x2005;mL/g, which can significantly increase the MB degradation efficiency. This is because when the liquid-solid ratio and the mass of FeCl<sub>3</sub> and P25 increased, the MB degradation efficiency showed a trend of first increasing and then decreasing. This increases the internal diffusion resistance [<xref ref-type="bibr" rid="ref-34">34</xref>,<xref ref-type="bibr" rid="ref-35">35</xref>], resulting in that FeCl<sub>3</sub> and P25 are not completely monodispersed in the solution after ultrasound. When the solvent is too much, the content of other impurities will increase with the increasing [<xref ref-type="bibr" rid="ref-36">36</xref>,<xref ref-type="bibr" rid="ref-37">37</xref>]. This will affect the loading of Fe<sub>3</sub>O<sub>4</sub> and TiO<sub>2</sub> nanoparticles. However, Fe<sub>3</sub>O<sub>4</sub> and TiO<sub>2</sub> nanoparticles play the main role in photo-Fenton catalysis, which causes the fluctuations caused by FeCl<sub>3</sub> and P25 TiO<sub>2</sub> to be greater than those caused by the liquid-solid ratio.</p>
<fig id="fig-12">
<label>Figure 12</label>
<caption>
<title>Interaction between ferric chloride quality, P25 titanium dioxide quality and liquid-solid ratio (a, c) Plane contour map and (b, d) Stereo response surface map</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-12.png"/>
</fig>
<p>In order to synergistically consider the influence of the interaction between various factors on the MB degradation efficiency, the global optimal solution was further determined. According to the results of the Design-Expert 10.0.3 software, the maximum MB degradation efficiency is selected as the optimization goal. The optimal processes under the combined influence of multiple factors such as dopamine concentration, ferric chloride quality, P25 quality and liquid-solid ratio are as follows: dopamine concentration 1.720&#x2005;mg/mL, ferric chloride quality 1.243&#x2005;g, P25 quality 0.229&#x2005;g, liquid-solid ratio 170.055&#x2005;mL/g. Under these conditions, the MB degradation efficiency predicted by the model is 98.9&#x0025;.</p>
<p>In order to verify the reliability of the model and the feasibility in practice, actual experiment was carried out. According to the results of the software prediction, three parallel tests were performed on the conditions of dopamine concentration 1.7&#x2005;mg/mL, ferric chloride mass 1.2&#x2005;g, P25 titanium dioxide mass 0.2&#x2005;g, and liquid-solid ratio 170&#x2005;mL/g. The experimental result shows that the average MB degradation efficiency is 99.3&#x0025;, which is close to the model prediction result. This result shows that the response surface model analysis and optimization method of photo-Fenton catalyst based on bamboo carbon fiber are effective and feasible, and the model can better reflect the relationship between MB degradation efficiency and various selected factors.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Photo-Fenton Catalytic Mechanism of Catalysts</title>
<p>The MB degradation efficiency curves under different systems are presented in <xref ref-type="fig" rid="fig-13">Fig. 13</xref>. It can be seen from <xref ref-type="fig" rid="fig-13">Fig. 13</xref> that under the condition of only Xenon lamp irradiation and only H<sub>2</sub>O<sub>2</sub>, the MB degradation efficiency are only 14.3&#x0025; and 2.80&#x0025; after 1 h. This result indicates that MB degrades slowly under Xenon lamp irradiation, and the degradation efficiency of MB is low in the absence of light. When photo-Fenton catalyst was added with only Xenon lamp irradiation or only H<sub>2</sub>O<sub>2</sub>, the degradation efficiency of MB reached 32.1&#x0025; and 30.6&#x0025;, respectively. The results showed that the degradation efficiency of MB was improved to a certain extent. When TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst was used as a photo-Fenton catalyst in presence of light and H<sub>2</sub>O<sub>2</sub>, the degradation efficiency of MB was significantly increased and it reaches 98.2&#x0025; after 1 h reaction. The results indicate TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst has a higher photo-Fenton catalytic activity for degradation of MB than single Fenton and photocatalytic reaction. In order to study the effect of adsorption performance on the enhanced photo-Fenton catalytic activity of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst, its adsorption performance without light and H<sub>2</sub>O<sub>2</sub> is displayed. The results show that the removal rate of MB reached 12.2&#x0025; after 1 h. It is proved that good adsorption ability in favor of increasing photo-Fenton catalytic activity of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst. On the other hand, the photo-Fenton catalytic activity of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/CF catalyst without PDA modification was studied. This proves the positive role of PDA. The results show that the degradation efficiency of MB reached 64.2&#x0025; after 1 h. It is proved that the TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/CF catalyst without PDA modification has a decent photo-Fenton catalytic activity, but it is far behind TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst. This experiment further confirms that PDA modification to CF can enhance its photo-Fenton catalytic activity which is mainly due to realize the uniform and firm loading of nanoparticles on the surface of CF. Besides, the photo-Fenton catalytic activity of Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst without loading of nano-TiO<sub>2</sub> was studied. The results show that the degradation efficiency of MB reached 87.6&#x0025; after 1 h. It is proved that the Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst without loading of nano-TiO<sub>2</sub> also has a decent photo-Fenton catalytic activity, but it lags behind TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst. The result further confirms that loading of nano-TiO<sub>2</sub> can enhance the photo-Fenton catalytic activity of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst which is mainly due to realizing light absorption enhancement by loading nano-TiO<sub>2</sub> on the surface of CF.</p>
<fig id="fig-13">
<label>Figure 13</label>
<caption>
<title>MB degradation efficiency curves in different reaction systems: (a, c) only light or H<sub>2</sub>O<sub>2</sub> without catalyst, (b, d) TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst with only light or H<sub>2</sub>O<sub>2</sub> (e) TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst with light and H<sub>2</sub>O<sub>2</sub>, (f) TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/CF catalyst with light and H<sub>2</sub>O<sub>2</sub>, (g) Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst with light and H<sub>2</sub>O<sub>2</sub>, (h) only TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-13.png"/>
</fig>
<p>The effects of different capturing agents on the degradation efficiency of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst were also discussed. The results are presented in <xref ref-type="fig" rid="fig-14">Fig. 14</xref>. TEA, BQ and MeOH are added in the photo-Fenton reaction system as hole trapping agent, superoxide radical trapping agent and hydroxyl radical trapping agent, respectively. From <xref ref-type="fig" rid="fig-14">Fig. 14</xref>, when no trapping agents were added, the degradation efficiency of MB reached 98.2&#x0025; after 1 h. And TEA has a promoting effect on degradation efficiency of MB. The degradation efficiency of MB reached 94.6&#x0025; after 40 min. After 40 min, the degradation efficiency of MB changed little and remained stable. BQ almost had no obvious effect on degradation efficiency of MB. The MB degradation efficiency reached 95.3&#x0025; after 1 h. It indicates hole trapping is beneficial to the enhancement of degradation efficiency of MB while superoxide radical has no obvious effect on photo-Fenton catalytic degradation reaction. But a severe inhibitory effect could be observed when adding MeOH. The degradation efficiency of MB only reached 74.8&#x0025; after 1 h. The result proves that hydroxyl radicals play a crucial role in the photo-Fenton catalytic degradation reaction.</p>
<fig id="fig-14">
<label>Figure 14</label>
<caption>
<title>The effect of different trapping agents on degradation efficiency of TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF catalyst: (a) MeOH, (b) TEA, (c) BQ, (d) without any trapping agents</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="JRM_21306-fig-14.png"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Conclusions</title>
<p>In this study, the residue from bamboo factory has been used to design photo-Fenton catalyst, which has the advantages of low cost and magnetic recycling. The bamboo-carbon fiber extracted from waste bamboo shavings is investigated as a catalyst carrier. The surface of carbonized-treated fiber is going to modify by polydopamine, which the high-activity functional groups could successively be clad by hydrothermal method, such as nano-Fe<sub>3</sub>O<sub>4</sub> and nano-TiO<sub>2</sub>. A magnetically recyclable photo-Fenton catalyst could be prepared namely TiO<sub>2</sub>/Fe<sub>3</sub>O<sub>4</sub>/PDA/CF. After the analysis of the response surface optimization, it was showed that the significance sequence of the selected 4 factors in terms of the MB degradation efficiency was arranged as following: dopamine concentration&#x2009;&#x003E;&#x2009;liquid-solid ratio&#x2009;&#x003E;&#x2009;P25 titanium dioxide quality&#x2009;&#x003E;&#x2009;ferric chloride quality. The optimal process parameters of fiber-carbon catalyst were affirmed as following: the 1.7&#x2005;mg/mL concentration of dopamin, the 1.2&#x2005;g mass of ferric chloride, the 0.2&#x2005;g mass of P25 titanium dioxide and the liquid-solid ratio of 170&#x2005;mL/g. The experiment-measured average MB degradation efficiency performed by the optimized catalyst was 99.3&#x0025;, which was nearly similar to the model-predicted value of 98.9&#x0025;. This result proves that the prediction model and response surface model were accurate and reliable. It not only provided low-cost, high-efficiency and large-scale applied photo-Fenton catalyst in water treatment, but also realized high-value and green utilization of bamboo waste.</p>
</sec>
</body>
<back><fn-group>
<fn fn-type="other">
<p><bold>Authors&#x2019; Contributions:</bold> Yizhang Wang: Experiment and Writing-Original Draft. Jinbo Hu and Shanshan Chang: Supervision, Writing-Reviewing and Editing. Gonggang Liu and Xiaodong (Alice) Wang: Data Curation. Zhaoyang Yu and Ting Li: Resources. Yuan Liu: Investigation.</p>
</fn>
</fn-group>
<ack>
<p>Dr. Jinbo HU would like to thank Prof. Xiangzhi SONG in Faculty of Chemistry and Chemical Engineering, Central South University.</p>
</ack><fn-group>
<fn fn-type="other">
<p><bold>Funding Statement:</bold> The study received the funding from Hunan Provincial Key Research and Development Program (2020WK2018), Hunan Provincial Forestry Technological Innovation Funds (XLK202107-3), Scientific Research Project of Hunan Education Department (19A505, 21B0242), National Natural Science Foundation of China (No. 21908251), Hunan Provincial Natural Science Foundation of China (No. 2020JJ2058).</p>
</fn>
<fn fn-type="conflict">
<p><bold>Conflicts of Interest:</bold> The authors declare that they have no conflicts of interest to report regarding the present study</p>
</fn>
</fn-group>
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