基于SPSS多元线性回归分析不同因素对贮藏期间AES中二噁烷含量的影响

doi:10.3969/j.issn.1001-1803.2019.10.003

摘要/Abstract

摘要：

以单因素试验为基础,结合多元线性回归研究了不同因素对脂肪醇聚氧乙烯醚硫酸钠（AES）中二噁烷含量的影响。结果表明：贮藏期间,AES产品中的二噁烷含量与EO数、温度、pH值和时间呈正相关,即随着EO数的增加,温度的升高,pH值的增大和时间的延长,AES中的二噁烷含量均增加;采用多元线性回归分析各因素对二噁烷含量的影响,影响程度为：EO数>pH值>时间>温度;光照对二噁烷含量的增长具有一定的影响,但影响程度较小。

关键词: 脂肪醇聚氧乙烯醚硫酸钠, 二噁烷, 多元线性回归

Abstract:

Based on the results obtained from single factor experiments and in combination with multiple linear regressions, the influences of different factors on the content of dioxane in sodium fatty alcohol ether sulphate（AES）were investigated. The results show that the dioxane content in AES is positively correlated with EO number, temperature, pH and time during storage, i.e., more dioxane exists in the case of larger EO number, higher temperature, higher pH or longer time. According to the analysis with multiple linear regression, the contributions of the 4 factors to the increase of dioxane in AES are ranked as follows: EO number>pH>time>temperature. Sunshine has a slight influence on the increase of dioxane content.

Key words: sodium fatty alcohol ether sulphate, dioxane, multiple linear regression

中图分类号:

TQ423

徐坤华,屈小妮,葛赞,雷小英,陶华东,李伏益. 基于SPSS多元线性回归分析不同因素对贮藏期间AES中二噁烷含量的影响[J]. 日用化学工业, 2019, 49(10): 643-648.

XU Kun-hua,QU Xiao-ni,GE Zan,LEI Xiao-ying,TAO Hua-dong,LI Fu-yi. Analysis of different influencing factors on the content ofdioxane in sodium fatty alcohol ether sulphate duringstorage based on SPSS multiple linear regression[J]. China Surfactant Detergent & Cosmetics, 2019, 49(10): 643-648.

图/表 11

图 1

图 2

图 3

图 4

图 5

表 1

不同贮藏条件下的二噁烷含量变化"

序号	EO数	pH值	θ/℃	t/周	w（初始二噁烷）/（mg·kg^-1）	w（二噁烷）/（mg·kg^-1）	序号	EO数	pH值	θ/℃	t/周	w（初始二噁烷）/（mg·kg^-1）	w（二噁烷）/（mg·kg^-1）
1	1	10.5	50	1	7	7.3	4	1	10.5	50	4	7	9.1
2	1	10.5	50	2	7	7.9	5	1	10.5	50	5	7	10.2
3	1	10.5	50	3	7	8.5	6	1	10.5	50	6	7	11
7	1	10.5	50	7	7	12	50	2	10.5	40	10	12	14.1
8	1	10.5	50	8	7	14	51	1	8	40	1	6.1	6.3
9	1	10.5	50	9	7	16	52	1	8	40	2	6.1	6.8
10	1	10.5	50	10	7	17	53	1	8	40	3	6.1	7.2
11	2	10.5	50	1	12	12.7	54	1	8	40	4	6.1	7.4
12	2	10.5	50	2	12	13.8	55	1	8	40	5	6.1	7.5
13	2	10.5	50	3	12	14	56	1	8	40	6	6.1	7.6
14	2	10.5	50	4	12	14.3	57	1	8	40	7	6.1	7.6
15	2	10.5	50	5	12	15	58	1	8	40	8	6.1	7.7
16	2	10.5	50	6	12	16	59	1	8	40	9	6.1	7.8
17	2	10.5	50	7	12	17.5	60	1	8	40	10	6.1	8
18	2	10.5	50	8	12	18.9	61	1	10.5	40	1	12	12.2
19	2	10.5	50	9	12	20	62	1	10.5	40	2	12	12.4
20	2	10.5	50	10	12	21	63	1	10.5	40	3	12	12.6
21	3	10.5	50	1	17	19	64	1	10.5	40	4	12	12.9
22	3	10.5	50	2	17	22	65	1	10.5	40	5	12	13
23	3	10.5	50	3	17	26	66	1	10.5	40	6	12	13.1
24	3	10.5	50	4	17	28	67	1	10.5	40	7	12	13.2
25	3	10.5	50	5	17	31	68	1	10.5	40	8	12	13.3
26	3	10.5	50	6	17	35.6	69	1	10.5	40	9	12	13.5
27	3	10.5	50	7	17	40	70	1	10.5	40	10	12	13.8
28	3	10.5	50	8	17	43	71	1	12	40	1	5	8
29	3	10.5	50	9	17	46	72	1	12	40	2	5	11
30	3	10.5	50	10	17	50	73	1	12	40	3	5	13
31	2	10.5	30	1	12	12.3	74	1	12	40	4	5	15
32	2	10.5	30	2	12	12.5	75	1	12	40	5	5	17
33	2	10.5	30	3	12	12.7	76	1	12	40	6	5	19
34	2	10.5	30	4	12	12.9	77	1	12	40	7	5	21
35	2	10.5	30	5	12	13.1	78	1	12	40	8	5	23
36	2	10.5	30	6	12	13.3	79	1	12	40	9	5	25
37	2	10.5	30	7	12	13.5	80	1	12	40	10	5	26
38	2	10.5	30	8	12	13.5	81	3	10.5	50	2	23	26.4
39	2	10.5	30	9	12	13.6	82	3	10.5	50	4	23	27
40	2	10.5	30	10	12	13.6	83	3	10.5	50	10	23	28
41	2	10.5	40	1	12	12.2	84	1	10.5	30	2	6.1	6.2
42	2	10.5	40	2	12	12.4	85	1	10.5	30	4	6.1	6.7
43	2	10.5	40	3	12	12.8	86	1	10.5	30	10	6.1	7.8
44	2	10.5	40	4	12	12.9	87	1	10.5	40	2	6.1	6.8
45	2	10.5	40	5	12	13.2	88	1	10.5	40	4	6.1	7.4
46	2	10.5	40	6	12	13.4	89	1	10.5	40	10	6.1	8
47	2	10.5	40	7	12	13.6	90	1	10.5	50	2	6.1	7.9
48	2	10.5	40	8	12	13.7	91	1	10.5	50	4	6.1	9.1
49	2	10.5	40	9	12	13.8	92	1	10.5	50	10	6.1	18

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表 4

表 5

表 6

参考文献 15

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模型	自变量	Beta In	t	Sig
1	pH值	0.245	3.431	0.001
	温度	0.244	3.306	0.001
	时间	0.314	4.631	0
	初始二噁烷含量	0.029	0.184	0.855
2	pH值	0.245	3.868	0
	温度	0.244	3.720	0
	初始二噁烷含量	0.031	0.212	0.832
3	温度	0.240	3.972	0
3	初始二噁烷含量	0.049	0.363	0.718
4	初始二噁烷含量	0.025	0.203	0.840

模型	自变量	未标准化系数			标准化系数	t	Sig
模型	自变量	B	标准误差		试用版	t	Sig
1	常量	1.839	1.596	/		1.152	0.252
1	EO数	8.459	0.905	0.702		9.345	0
2	常量	-3.230	1.809	/		-1.785	0.078
	EO数	8.455	0.817	0.701		10.347	0
	时间	0.927	0.200	0.314		4.631	0
3	常量	-25.957	6.112	/		-4.247	0
	EO数	8.171	0.763	0.678		10.706	0
	时间	0.927	0.186	0.314		4.984	0
	pH值	2.231	0.577	0.245		3.868	0
4	常量	-37.313	6.337	/		-5.888	0
	EO数	7.412	0.732	0.615		10.132	0
	时间	0.927	0.172	0.314		5.388	0
	pH值	2.195	0.534	0.241		4.113	0
	温度	0.305	0.077	0.240		3.972	0

模型	项目	平方和	df	均方	F	Sig
1	回归	3 428.169	1	3 428.169	87.330	0
	残差	3 533.000	90	39.256
	总计	6 961.169	91
2	回归	4 114.128	2	2 057.064	64.305	0
	残差	2 847.041	89	31.989
	总计	6 961.169	91
3	回归	4 527.819	3	1 509.273	54.582	0
	残差	2 433.350	88	27.652
	总计	6 961.169	91
4	回归	4 901.380	4	1 225.345	51.755	0
	残差	2 059.789	87	23.676
	总计	6 961.169	91

模型	R	R²	调整后R²	标准估算误差
1	0.702	0.492	0.487	6.265
2	0.769	0.591	0.582	5.656
3	0.806	0.650	0.639	5.258
4	0.839	0.704	0.690	4.866

模型	维数	特征值	条件指数	方差比例					VIF
模型	维数	特征值	条件指数	常量	EO数	时间	pH值	温度	VIF
1	1	1.912	1.000	0.04	0.04				/
1	2	0.088	4.672	0.96	0.96				1.000
2	1	2.732	1.000	0.01	0.02	0.03			/
	2	0.199	3.707	0.01	0.34	0.66			1.000
	3	0.069	6.282	0.98	0.64	0.32			1.000
3	1	3.694	1.000	0	0.01	0.01	0		/
	2	0.202	4.280	0	0.26	0.73	0		1.009
	3	0.101	6.060	0.02	0.73	0.25	0.02		1.000
	4	0.004	25.779	0.98	0.00	0.01	0.98		1.009
4	1	4.660	1.000	0	0.01	0.01	0	0	/
	2	0.206	4.756	0	0.18	0.79	0	0	1.083
	3	0.112	6.456	0.01	0.79	0.19	0.01	0.02	1.000
	4	0.018	16.178	0.03	0.02	0.01	0.12	0.88	1.010
	5	0.004	29.791	0.96	0	0.01	0.87	0.10	1.075