响应面试验优化柿子皮多糖铬的制备工艺研究

doi:10.3976/j.issn.1002-4026.20230088

摘要/Abstract

摘要：

利用热水浸提法提取柿子皮多糖,并将柿子皮多糖与三价铬离子结合制备柿子皮多糖铬。以铬吸附率为指标,通过单因素和响应面法优化得到柿子皮多糖铬的最佳吸附工艺。结果显示柿子皮多糖铬的最佳工艺为:柿子皮多糖与氯化铬质量比6.7∶1.0,反应时间150 min,温度82 ℃,吸附液pH为5,此时氯化铬吸附率达92.81%。研究表明,柿子皮多糖可以高效结合三价铬离子,为研发绿色无污染的铬吸附剂或动物营养补充剂提供技术支持。

关键词: 柿子皮, 多糖, 铬吸附, 响应面试验

Abstract:

In this study, the hot water extraction method was utilized to extract polysaccharides from persimmon peel, and the persimmon peel polysaccharides were combined with trivalent chromium ions to prepare persimmon peel polysaccharide chromium. Considering the adsorption rate of chromium as the index, the adsorption process of persimmon peel polysaccharide chromium was optimized using single factor and response surface methodology. The results showed that the optimal preparation process of persimmon peel polysaccharide chromium consisted of the following steps, such as the mass ratio of persimmon peel polysaccharides to chromium chloride was set at 6.7∶1; the reaction time was 150 min; the temperature was set at 82 ℃; and the pH of the adsorption liquid was fixed at 5. Under these conditions, the maximum adsorption rate reached 92.81%. Therefore, this study has shown that persimmon peel polysaccharides can efficiently bind trivalent chromium ions, which can further provide technical support for the development of green pollution-free heavy-adsorption chromium adsorbents or animal nutritional supplements.

Key words: persimmon peel, polysaccharide, chromium adsorption rate, response surface methodology

中图分类号:

TS201.4

苗旭忠, 李秀芬, 高艳艳, 张雪, 张禧庆, 乔鲁芹. 响应面试验优化柿子皮多糖铬的制备工艺研究[J]. 山东科学, 2024, 37(2): 127-134.

MIAO Xuzhong, LI Xiufen, GAO Yanyan, ZHANG Xue, ZHANG Xiqing, QIAO Luqin. Optimization of preparation of persimmon peel polysaccharide chromium using response surface methodology[J]. Shandong Science, 2024, 37(2): 127-134.

图/表 4

表1

图1

表2

回归模型方差分析"

来源	平方和		自由度	均方	F值	P值	差异性
模型	3 786.16		14	270.44	58.08	<0.000 1	显著
A	840.68		1	840.68	180.54	<0.000 1	**
B	1.59		1	1.59	0.34	0.568 1
C	214.63		1	214.63	46.09	<0.000 1	**
D	723.54		1	723.54	155.38	<0.000 1	**
AB	19.76		1	19.76	4.24	0.058 5
AC	4.75		1	4.75	1.02	0.329 5
AD	134.91		1	134.91	28.97	<0.000 1	**
BC	1.89		1	1.89	0.41	0.534 3
BD	4.06		1	4.06	0.87	0.366 2
CD	4.88		1	4.88	1.05	0.323 1
A²	610.67		1	610.67	131.14	<0.000 1	**
B²	255.74		1	255.74	54.92	<0.000 1	**
C²	57.09		1	57.09	12.26	0.003 5	**
D²	1 469.76		1	1 469.76	315.63	<0.000 1	**
残差	65.19		14	4.66
失拟项	60.25		10	6.02	4.87	0.070 3	不显著
绝对误差	4.95		4	1.24
总和	3 851.35		28
		R²=0.983 1 $R A d j 2$ =0.966 1

表2

图2

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水平	A(质量比)	B(时间/min)	C(温度/℃)	D(pH)
-1	4:1	120	65	4
0	8:1	150	75	5
1	12:1	180	85	6