| Literature DB >> 31993181 |
Qunpeng Cheng1, Chenxi Xu1, Wenwen Huang1, Chao Ma1, Guozhi Fan1, Juntao Yan1, Zhang Jian1, Yong Zhang1, Guangsen Song1.
Abstract
In this paper, rice husk (RH) was used as raw material to prepare white carbon black, and the key technological parameters of preparing white carbon black from RH were studied through single-factor test, orthogonal experiment, and response surface analysis. Meanwhile, the characteristic of white carbon black was also analyzed. Through orthogonal experiment analysis, it was confirmed that the order of factors affecting the purity of white carbon black was calcination temperature > alkali treatment time > final pH > surfactant. Based on the response surface optimization analysis, the optimum parameters for preparation of white carbon black were as follows: calcination temperature 610°C, alkali treatment time of 2.3 hr, final pH of 10, CTMAB was used as the surfactant. Under this condition, the purity of silica prepared could be reached to 99.39%, and the particle size was uniform, spherical, and well dispersed, which satisfied the requirements of GB/T 34698-2017 standard.Entities:
Keywords: preparation; purity; rice husk; white carbon black
Year: 2019 PMID: 31993181 PMCID: PMC6977519 DOI: 10.1002/fsn3.1345
Source DB: PubMed Journal: Food Sci Nutr ISSN: 2048-7177 Impact factor: 2.863
Figure 1Diagram of whole experimental process
The design of Orthogonal experiment
| Calcination temperature (°C) A | Alkali treatment time (h) B | Surfactant C | Final pH D | |
|---|---|---|---|---|
| 1 | 600 | 2 | None | 8 |
| 2 | 700 | 3 | CTMAB SDS | 9 |
| 3 | 800 | 4 | PEG‐6000 | 10 |
Design and results of response surface analysis
| Item | A (°C) | B (h) | C | R (%) |
|---|---|---|---|---|
| 1 | 700 | 3 | 9 | 96.928 |
| 2 | 700 | 3 | 9 | 96.758 |
| 3 | 700 | 4 | 8 | 95.159 |
| 4 | 700 | 3 | 9 | 97.728 |
| 5 | 700 | 2 | 8 | 95.186 |
| 6 | 600 | 2 | 9 | 98.253 |
| 7 | 800 | 2 | 9 | 97.203 |
| 8 | 700 | 3 | 9 | 96.728 |
| 9 | 600 | 3 | 10 | 98.406 |
| 10 | 800 | 4 | 9 | 94.768 |
| 11 | 800 | 3 | 8 | 95.305 |
| 12 | 700 | 2 | 10 | 98.333 |
| 13 | 600 | 3 | 8 | 97.830 |
| 14 | 600 | 4 | 9 | 96.438 |
| 15 | 800 | 3 | 10 | 97.821 |
| 16 | 700 | 4 | 10 | 97.106 |
| 17 | 700 | 3 | 9 | 96.086 |
Figure 2The effect of calcination temperature (a), alkali treatment time (b), surfactant (c), and final pH (d) on the purity of white carbon black
Figure 3SEM micrographs of surfactants on the particle size and dispersion of white carbon black
Code and level of factors
| Item | Code of factors | Horizontal coded values | Level value |
|---|---|---|---|
| Calcination temperature (°C) | A | −1 | 600 |
| 0 | 700 | ||
| +1 | 800 | ||
| Alkali treatment time (h) | B | −1 | 2 |
| 0 | 3 | ||
| +1 | 4 | ||
| Final pH | C | −1 | 8 |
| 0 | 9 | ||
| +1 | 10 |
Figure 4The interaction of calcination temperature, alkali treatment time, and final pH on purity of white carbon black
The results of orthogonal experiment
| Number | A | B | C | D | Purity (%) |
|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 97.498 |
| 2 | 1 | 2 | 2 | 2 | 97.055 |
| 3 | 1 | 3 | 3 | 3 | 97.469 |
| 4 | 2 | 1 | 2 | 3 | 98.269 |
| 5 | 2 | 2 | 3 | 1 | 97.042 |
| 6 | 2 | 3 | 1 | 2 | 96.134 |
| 7 | 3 | 1 | 3 | 2 | 94.985 |
| 8 | 3 | 2 | 1 | 3 | 92.541 |
| 9 | 3 | 3 | 2 | 1 | 92.949 |
| K1 | 292.022 | 290.752 | 286.173 | 287.489 | |
| K2 | 291.445 | 286.638 | 288.273 | 288.174 | |
| K3 | 280.475 | 286.552 | 289.496 | 288.279 | |
| k1 | 97.34067 | 96.91733 | 95.391 | 95.82967 | |
| k2 | 97.14833 | 95.546 | 96.091 | 96.058 | |
| k3 | 93.49167 | 95.51733 | 96.49867 | 96.093 | |
| Range | 3.849 | 1.4 | 1.107667 | 0.263333 | |
| SS | 28.223 | 3.841377 | 1.883118 | 0.122706 | |
| Total | 863.942 | ||||
|
| 82932.86 |
ANOVA results of response surface analysis
| Sources of variation | Sum of squares | Degree of Freedom | Mean‐square value |
| Probability > | Significance |
|---|---|---|---|---|---|---|
| Model | 19.55 | 9 | 2.17 | 5.03 | 0.0224 | + |
| A | 4.25 | 1 | 4.25 | 9.83 | 0.0165 | + |
| B | 3.79 | 1 | 3.79 | 8.76 | 0.0211 | + |
| C | 8.38 | 1 | 8.38 | 19.38 | 0.0031 | + |
| AB | 0.096 | 1 | 0.096 | 0.22 | 0.6516 | — |
| AC | 0.94 | 1 | 0.94 | 2.18 | 0.1836 | — |
| BC | 0.36 | 1 | 0.36 | 0.83 | 0.3918 | — |
| A2 | 0.54 | 1 | 0.54 | 1.24 | 0.3017 | — |
| B2 | 1.22 | 1 | 1.22 | 2.81 | 0.1375 | — |
| C2 | 0.080 | 1 | 0.080 | 0.18 | 0.6803 | — |
| Residual | 3.03 | 7 | 0.43 | |||
| Lack of fit | 1.64 | 3 | 0.55 | 1.58 | 0.3260 | — |
| Pure Error | 1.38 | 4 | 0.35 | |||
| Total difference | 22.58 | 16 |
Abbreviations: —, not significant; +, significant.
Figure 5FTIR spectra of white carbon black
The characteristic of white carbon black
| Item | Standard | Product |
|---|---|---|
| SiO2 (%, d) | ≥90 | 99.39 |
| Residue on sieve (%, d) | ≤0.5 | 0.1 |
| Loss on ignition (%, d) | ≤7.0 | 1.7 |
| pH | 5.0–8.0 | 6.4 |
| Cu (mg/kg) | ≤10 | None |
| Mn (mg/kg) | ≤40 | 13.2 |
| Fe (mg/kg) | ≤500 | 86.0 |
Abbreviation: d, dry.
Figure 6SEM micrographs of white carbon black prepared under optimized condition