Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (11): 29-34.doi: 10.13475/j.fzxb.20210800106

• Fiber Materials • Previous Articles     Next Articles

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

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

  1. 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 Online:2022-11-15 Published:2022-12-26
  • Contact: FU Yaqin E-mail:fyq01@zstu.edu.cn

RichHTML

13

PDF (PC)

52

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

CLC Number: 

  • TS102.1

Fig.1

Distribution of grafted silk samples"

Fig.2

Near infrared spectra of untreated silk and grafted silk"

Fig.3

Near infrared spectra of silk samples"

Fig.4

Relationship between PRESS value and principle factor numbers of different methods"

Tab.1

Model parameters of different pretreatment methods"

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

Fig.5

Spectra of samples obtained by combined pretreatment method of S-G smooth and difference derivative"

Fig.6

Correlation coefficient of sample absorbance and grafting ratio"

Tab.2

Prediction results of quantitative analysis model with different thresholds"

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

Fig.7

External validation accuracy of quantitative analysis model"

[1] 王瑞. 基于蚕丝纤维绿色加工的应用基础研究[D]. 杭州: 浙江理工大学, 2020: 13.
WANG Rui. Basic research on the application of green processing of silk fibers[D]. Hangzhou: Zhejiang Sci-Tech University, 2020: 13.
[2] ZHAO C, OKADA H, ASAKAWA M, et al. Grafting methyl methacrylate onto silk via emulsion graft copolymerization using a diethylzinc complex initiator[J]. Green and Sustainable Chemistry, 2019, 9(4): 135-152.
doi: 10.4236/gsc.2019.94010
[3] 张智辉, 沈一峰, 杨雷, 等. MAA/疏水性单体与蚕丝纤维的接枝共聚合反应[J]. 丝绸, 2013, 50(7): 1-4.
ZHANG Zhihui, SHEN Yifeng, YANG Lei, et al. Graft copolymerization of MAA/hydrophobic monomer and silk fiber[J]. Journal of Silk, 2013, 50(7): 1-4.
[4] 李婷, 孙晨晓, 朱兰, 等. 基于高效液相色谱法的桑蚕丝氨基酸定量分析及其增重鉴别的研究[J]. 江苏丝绸, 2021(2):35-39.
LI Ting, SUN Xiaochen, ZHU Lan, et al. Quantitative analysis of amino acids and weight gain identification of mulberry silk by high performance liquid chromato-graphy[J]. Jiangsu Silk, 2021(2):35-39.
[5] 钱红飞, 程双娟. 一种蚕丝接枝率的检测方法: ZL 201510303852.2[P]. 2015-11-04.
QIAN Hongfei, CHENG Shuangjuan. A test method of silk grafting ratio: ZL 201510303852.2[P]. 2015-11-04.
[6] 方帅军, 陈梦婕, 舒可人, 等. 基于DSC技术构建甲基丙烯酰胺接枝蚕丝的接枝率定量检测方法[J]. 丝绸, 2022, 59(1): 20-24.
FANG Shuaijun, CHEN Mengjie, SHU Keren, et al. Quantitative detection method for the grafting rate of methylacrylamide grafted silk based on DSC tech-nology[J]. Journal of Silk, 2022, 59(1): 20-24.
[7] 方帅军, 郑培晓, 程双娟, 等. 甲基丙烯酰胺接枝桑蚕丝接枝率的数学模型构建与定量分析[J]. 纺织学报, 2022, 43(2): 156-161.
FANG Shuaijun, ZHENG Peixiao, CHENG Shuangjuan, et al. Establishment of mathematical model and quantitative analysis for grafting rate of methylacrylamide grafted silk[J]. Journal of Textile Research, 2022, 43(2): 156-161.
[8] DE A N R, RAMALHO F M G, COSTA L R, et al. Estimating hardness and density of wood and charcoal by near-infrared spectroscopy[J]. Wood Science and Technology, 2020, 55(1): 215-230.
doi: 10.1007/s00226-020-01232-y
[9] ANYIDOHO E K, TEYE E, AGBEMAFLE R, et al. Application of portable near infrared spectroscopy for classifying and quantifying cocoa bean quality para-meters[J]. Journal of Food Processing and Preservation, 2021, 45(5): 1-13.
[10] DU W, ZHENG J, LI W, et al. Efficient recognition and automatic sorting technology of waste textiles based on online near infrared spectroscopy and convolutional neural network[J]. Resources, Conservation and Recycling, 2022. DOI: 10.1016/j.resconrec.2022.106157.
doi: 10.1016/j.resconrec.2022.106157
[11] CURA K, RINTALA N, KAMPPURI T, et al. Textile recognition and sorting for recycling at an automated line using near infrared spectroscopy[J]. Recycling, 2021. DOI: 10.3390/recycling6010011.
doi: 10.3390/recycling6010011
[12] BLANCO M, PAGÈS J. Classification and quantitation of finishing oils by near infrared spectroscopy[J]. Analytica Chimica Acta, 2002, 463(2): 295-303.
doi: 10.1016/S0003-2670(02)00382-3
[13] CHEN H, TAN C, LIN Z. Quantitative determination of the fiber components in textiles by near-infrared spectroscopy and extreme learning machine[J]. Analytical Letters, 2019, 53(6): 844-857.
doi: 10.1080/00032719.2019.1683742
[14] 魏子涵, 李文霞, 杜宇君, 等. 织物傅里叶变换衰减全反射红外光谱库的建立及应用[J]. 纺织学报, 2019, 40(8): 64-68.
WEI Zihan, LI Wenxia, DU Yujun, et al. Establishment and application of fabrics attenuated total reflection fourier transform infrared spectroscopy spectrum library[J]. Journal of Textile Research, 2019, 40(8): 64-68.
[15] HUANG J, YU C. Fiber content determination of linen/viscose blends using NIR spectroscopy[J]. Bioresources, 2020, 15(2): 3006-3016.
doi: 10.15376/biores.15.2.3006-3016
[16] 江崃, 朱小行, 沈一峰, 等. 过硫酸钾连二亚硫酸钠氧化还原体系在蚕丝接枝增重上的应用[J]. 纺织学报, 2013, 34(1): 50-55.
JIANG Lai, ZHU Xiaoxing, SHEN Yifeng, et al. Application of potassium persulfate/sodium dithionate redox system in graft weighting of silk[J]. Journal of Textile Research, 2013, 34(1): 50-55.
[17] 马月. 近红外、拉曼光谱快速无损检测技术在蚕桑产品中的应用[D]. 镇江: 江苏科技大学, 2020: 58-67.
MA Yue. Application of near-infrared and Raman spectroscopy rapid nondestructive testing technology in sericulture products[D]. Zhenjiang: Jiangsu University of Science and Technology, 2020: 58-67.
[18] 宋悦. 基于近红外光谱分析技术的纺织物纤维成分检测方法研究[D]. 太原: 中北大学, 2020: 34-38.
SONG Yue. Study on the detection method of textile fiber composition based on near infrared spectro-scopy[D]. Taiyuan: North University of China, 2020: 34-38.
[19] 韦树琛, 丁欣, 李文霞, 等. 废旧聚酯纤维制品近红外定量分析模型的建立及验证[J]. 纺织学报, 2018, 39(7): 63-68.
WEI Shuchen, DING Xin, LI Wenxia, et al. Model establishment and validation of waste polyester fiber products based on near infrared quantitative analysis[J]. Journal of Textile Research, 2018, 39(7): 63-68.
[1] YU Yangxiao, LI Feng, WANG Yuyu, WANG Shanlong, WANG Jiannan, XU Jianmei. Preparation and properties of polypyrole/silk fibroin conductive nanofiber membranes [J]. Journal of Textile Research, 2022, 43(10): 16-23.
[2] CHENG Lüzhu, WANG Zongqian, SHENG Hongmei, ZHONG Hui, XIA Liping. Comparison of test methods for permethrin content in polyamide fabrics [J]. Journal of Textile Research, 2022, 43(09): 143-148.
[3] LIU Jiao, CHEN Shaojuan, WU Shaohua. Preparation and properties of silk fibroin/poly(l-lactic acid) nanofiber yarns-based tendon patches [J]. Journal of Textile Research, 2022, 43(08): 60-66.
[4] LI Aiyuan, SHI Xinyu, YUE Wanfu, YOU Weiyun. Preparation and property of silk fibroin based hydrogel scaffolds [J]. Journal of Textile Research, 2022, 43(06): 44-48.
[5] GU Zhanghong, YAO Xiang, WANG Jinsi, ZHANG Yaopeng. Preparation and properties of single-layer and parallel silk fibroin fiber patterns with cell adhesion contrast properties [J]. Journal of Textile Research, 2022, 43(05): 1-6.
[6] LEI Caihong, YU Linshuang, ZHU Hailin, ZHENG Tao, CHEN Jianyong. Hemostasis properties of silk fibroin materials under different types of hydrolysis [J]. Journal of Textile Research, 2022, 43(04): 15-19.
[7] ZHANG Tao, WANG Fuping, CHEN Guobao, WU Jiyu, PANG Yani, CHEN Zhongmin. Preparation and performance of chitosan-based antibacterial gel [J]. Journal of Textile Research, 2022, 43(03): 71-77.
[8] FANG Shuaijun, ZHENG Peixiao, CHENG Shuangjuan, LI Huanhuan, QIAN Hongfei. Establishment of mathematical model and quantitative analysis for grafting rate of methylacrylamide grafted silk [J]. Journal of Textile Research, 2022, 43(02): 156-161.
[9] YAO Ruotong, ZHAO Jingyuan, YAN Yixin, DUAN Lirong, WANG Tian, YAN Jia, ZHANG Shujun, LI Gang. Fabrication of novel biodegradable braided nerve grafts for nerve regeneration [J]. Journal of Textile Research, 2022, 43(02): 125-131.
[10] MIN Xiaobao, PAN Zhijuan. Quality and performance of biomass fiber/pineapple leaf fiber multi-component blended yarn [J]. Journal of Textile Research, 2022, 43(01): 74-79.
[11] LI Wei, ZHANG Zhengqiao, XU Zhenzhen, ZHANG Chaohui. Preparation and sizing properties of amphiphilic diblock grafted starch sizing agent [J]. Journal of Textile Research, 2022, 43(01): 141-146.
[12] WANG Songli, WANG Meilin, ZHOU Xiang, LIU Zunfeng. Research progress of artificial spider silk and imitation spider silk fiber [J]. Journal of Textile Research, 2021, 42(12): 174-179.
[13] PENG Xi, TU Yongjian, ZHOU Jiu. Design principle and method for gradient weft-backed structure with 2∶1 weft arrangement [J]. Journal of Textile Research, 2021, 42(12): 63-69.
[14] JIANG Yulin, WANG Hui, ZHANG Keqin. Research progress of silk fibroin-based hydrogel bioinks for 3D bio-printing [J]. Journal of Textile Research, 2021, 42(11): 1-8.
[15] SUN Yusheng, ZUO Baoqi. Research progress of high-molecular polymer material for bone defect repair [J]. Journal of Textile Research, 2021, 42(08): 175-184.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] . [J]. JOURNAL OF TEXTILE RESEARCH, 2003, 24(06): 33 -34 .
[2] . [J]. JOURNAL OF TEXTILE RESEARCH, 2003, 24(06): 35 -36 .
[3] . [J]. JOURNAL OF TEXTILE RESEARCH, 2003, 24(06): 107 .
[4] . [J]. JOURNAL OF TEXTILE RESEARCH, 2003, 24(06): 109 -620 .
[5] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(01): 1 -9 .
[6] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(02): 101 -102 .
[7] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(02): 103 -104 .
[8] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(02): 105 -107 .
[9] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(02): 108 -110 .
[10] . [J]. JOURNAL OF TEXTILE RESEARCH, 2004, 25(02): 111 -113 .
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd