基于近红外光谱法的桑蚕丝接枝率快速定量测定

doi:10.13475/j.fzxb.20210800106

纺织学报 ›› 2022, Vol. 43 ›› Issue (11): 29-34.doi: 10.13475/j.fzxb.20210800106

基于近红外光谱法的桑蚕丝接枝率快速定量测定

王瑞¹^,², 司银松³, 芦浩浩³, 杲爽³, 傅雅琴³()

1.浙江理工大学纺织科学与工程学院(国际丝绸学院), 浙江杭州 310018
2.浙江机电职业技术学院, 浙江杭州 310018
3.浙江理工大学材料科学与工程学院, 浙江杭州 310018

收稿日期:2021-08-02 修回日期:2022-08-25 出版日期:2022-11-15 发布日期:2022-12-26
通讯作者: 傅雅琴
作者简介:王瑞(1986—),女,讲师,博士。主要研究方向为蚕丝结构性能及蚕丝加工检测技术。

Rapid quantitative detection of silk grafting ratio based on near infrared spectroscopy

WANG Rui¹^,², SI Yinsong³, LU Haohao³, GAO Shuang³, FU Yaqin³()

1. College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
2. Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou, Zhejiang 310018, China
3. School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China

Received:2021-08-02 Revised:2022-08-25 Published:2022-11-15 Online:2022-12-26
Contact: FU Yaqin

摘要/Abstract

摘要：

为解决蚕丝经化学接枝增重处理后,接枝率难以直接测定以及现有的热分析法检测耗时长、不适用于批量化快速检测等问题,提出了采用近红外光谱技术对蚕丝接枝率进行快速测定的方法。应用近红外光谱法结合化学计量学软件,选择偏最小二乘法,从光谱预处理、最佳主因子数选择以及建模谱区选择3个方面优化建立甲基丙烯酰胺接枝蚕丝的接枝率预测模型,得到所建模型的内部预测准确率为91.03%。使用19个已知参比值但未参与建模的样本对模型的稳健性进行验证,对预测值和参比值进行配对t检验,在给定显著水平α为0.05条件下,模型预测结果与称重法测试结果不存在显著性差异。结果表明,近红外光谱技术可为蚕丝接枝率的定量测定提供一种快速有效的分析方法。

关键词: 近红外光谱, 蚕丝, 接枝率, 甲基丙烯酰胺, 定量分析, 偏最小二乘法

Abstract:

The grafting ratio of silk after chemical graft weight gaining treatment is difficult to measure directly, and the existing thermogravimetric analysis method is time-consuming and not suitable for rapid mass detection. In order to solve these problems, a rapid detection method by using near infrared spectroscopy (NIRS) was proposed. Based on NIRS combined with stoichiometry software, the partial least squares was selected as a correction method to establish prediction model of grafting ratio of methylacrylamide grafted silk. The model was optimized from three aspects of spectral pretreatment, modeling bands, and the optimal numbers of principal factor. The internal prediction accuracy of the established model is 91.03%. 19 samples not involved in the modeling were used for the robustness verification,and paired t-test of predicted and reference values showed that at a given significant level α=0.05, there was no significant difference between the results obtained from model prediction and weighing method. Results show that the NIRS technique can provide a rapid and effective method for the quantitative detection of silk grafting ratio.

Key words: near infrared spectroscopy, silk, grafting ratio, methacrylamide, quantitative analysis, partial least squares

中图分类号:

TS102.1

王瑞, 司银松, 芦浩浩, 杲爽, 傅雅琴. 基于近红外光谱法的桑蚕丝接枝率快速定量测定[J]. 纺织学报, 2022, 43(11): 29-34.

WANG Rui, SI Yinsong, LU Haohao, GAO Shuang, FU Yaqin. Rapid quantitative detection of silk grafting ratio based on near infrared spectroscopy[J]. Journal of Textile Research, 2022, 43(11): 29-34.

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预处理方法	主因子数	RC	SECV	RP	SEP
S-G平滑+S-G求导	8	0.994	1.462	0.992	1.855
S-G平滑+S-G求导+ 均值中心化	9	0.996	1.334	0.986	2.427
S-G平滑+差分求导	8	0.995	1.464	0.992	1.834
S-G平滑+差分求导+ 均值中心化	7	0.995	1.470	0.991	1.946

阈值	RC	SECV	RP	SEP	预测准确率/%
0(全波段)	0.995	1.464	0.992	1.834	91.03
0.4	0.995	1.358	0.988	2.174	87.73
0.6	0.995	1.480	0.985	2.681	84.52
0.8	0.993	1.657	0.991	3.219	80.44

基于近红外光谱法的桑蚕丝接枝率快速定量测定

Rapid quantitative detection of silk grafting ratio based on near infrared spectroscopy

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