An Innovative and Sustainable Approach for Quantifying Cotton and Ramie Fibre Blend Ratios
Gupta, Indu
Sr. Faculty, Fashion Design Department, Footwear Design and Development Institute, Noida
Abstract
Cotton, a widely used cellulose fibre, is often blended with other fibres such as Ramie, Jute and Hemp to enhance textile performance. However, a reliable method for accurately determining the blend ratio of these fibres is lacking. This study addresses this gap by utilizing the moisture regain properties of these fibres to quantify blend ratios. Various blends in different ratio of Cotton and Ramie were created, and their composition was confirmed using FTIR spectral analysis and Xray-diffraction. The Moisture regain values of these blends were then measured under varying humidity and temperature conditions using standardized testing methods. A calibration curve was established to correlate blend percentages with their respective moisture regain values, enabling precise determination of unknown blend ratios. This research offers a dependable method for quantifying fibre blend ratios of Cotton and Ramie, contributing to the development of standardized techniques for assessing and characterizing fibre blends, and facilitating improved control and utilization in textile applications.
Keywords: Calibration curve, Cotton, blend, Ramie, moisture regains
Impact statement
An Innovative and Sustainable Approach for Quantifying Cotton and Ramie Fibre Blend Ratios
This research introduces an innovative and sustainable methodology for accurately quantifying the blend ratios of cotton and ramie fibers, addressing a critical need in the textile industry for precision and sustainability. Traditional methods of blend analysis often involve labor-intensive, resource-heavy, and environmentally damaging processes. The proposed approach utilizes advanced techniques that are eco-friendly, efficient, and cost-effective, significantly reducing the environmental footprint associated with fiber analysis.
The study holds transformative potential for the textile and fashion industries by ensuring better quality control, optimizing production processes, and fostering the adoption of sustainable practices. Accurate quantification of fiber blends enables manufacturers to create high-quality, consistent, and environmentally responsible textiles. Additionally, it promotes the use of ramie—a sustainable, biodegradable fiber—alongside cotton, encouraging the industry to adopt greener alternatives. By aligning with the global emphasis on sustainability and precision in manufacturing, this approach not only advances scientific innovation but also contributes to achieving broader environmental and economic goals. It paves the way for a more responsible and transparent textile production process, benefiting stakeholders across the supply chain and contributing to the future of sustainable fashion.
About The Author
Indu Gupta is a Senior Faculty member in the Fashion Design Department at the Footwear Design and Development Institute (FDDI). She holds a Master’s degree in Textiles and Clothing from Lady Irwin College, Delhi University, and is NET qualified. She is currently completing her Ph.D. from Banasthali University, with her research focusing on sustainable fibers (viva pending). Additionally, she has earned a B.Ed. degree from M.D. University.
With 17 years of academic experience, Indu specializes in teaching subjects such as Pattern Making, Garment Construction, Textile Studies, Leather Construction, and Advanced Draping. Her extensive research background spans textiles and pattern-making, particularly in sustainable practices and innovative design methodologies.
Indu has published numerous research papers on sustainable fibers, including hemp, jute, banana, ramie, and cotton, as well as on zero-waste pattern-making techniques. Her contributions to the field reflect a strong commitment to advancing sustainable fashion and innovative design practices.She continues to inspire future designers through her teaching and research, fostering creativity and sustainability in fashion education.
References
AATCC. (n.d.). 20A test method for fiber analysis: Quantitative – AATCC test methods. Retrieved August 9, 2024, http://aatcctestmethods.com/test-methods/aatcc-20a-test-method-for-fiber-analysis-quantitative/
Akbar, D. A., Kusmono, K., Wildan, M. W., & Ilman, M. N. (2020). Extraction and Characterization of Nanocrystalline Cellulose (NCC) from Ramie Fiber by Hydrochloric Acid Hydrolysis. Key Engineering Materials, 867, 109–116. https://doi.org/10.4028/www.scientific.net/KEM.867.109
Cecci, R. R. R., Passos, A. A., de Aguiar Neto, T. C., & Silva, L. A. (2020). Banana pseudostem fibers characterization and comparison with reported data on jute and sisal fibers. SN Applied Sciences, 2(1), 20. https://doi.org/10.1007/s42452-019-1790-8
da Silva, I. L. A., Bevitori, A. B., Araújo Rohen, L., Muylaert Margem, F., de Oliveira Braga, F., & Monteiro, S. N. (2016). Characterization by Fourier transform infrared (FTIR) analysis for natural jute fiber. Materials Science Forum, 869, 283–287. https://doi.org/10.4028/www.scientific.net/MSF.869.283
Felgueiras, C., Azoia, N. G., Gonçalves, C., Gama, M., & Dourado, F. (2021). Trends on the cellulose-based textiles: Raw materials and technologies. In Frontiers in Bioengineering and Biotechnology, 9. Frontiers Media S.A, Article 608826. https://doi.org/10.3389/fbioe.2021.608826
Fibre, R. (n.d.). Retrieved August 9, 2024, https://www.textilecoach.net/post/ramie-fibre
Garside, P., & Wyeth, P. (2003). Identification of cellulosic fibres by FTIR spectroscopy – Thread and single fibre analysis by attenuated total reflectance. Studies in Conservation, 48(4), 269–275. https://doi.org/10.1179/sic.2003.48.4.269
Greaves, P. H. (1990). Fibre identification and the quantitative analysis of fibre blends. Review of Progress in Coloration and Related Topics, 20(1), 32–39. https://doi.org/10.1111/j.1478-4408.1990.tb00072.x
Jose, S., Rajna, S., & Ghosh, P. (2016). Ramie fibre processing and value addition. Asian Journal of Textile, 7(1), 1–9. https://doi.org/10.3923/ajt.2017.1.9
Kalia, S., & Sheoran, R. (2011). Modification of ramie fibers using microwave-assisted grafting and cellulase enzyme–assisted biopolishing: A comparative study of morphology, thermal stability, and crystallinity. International Journal of Polymer Analysis and Characterization, 16(5), 307–318. https://doi.org/10.1080/1023666X.2011.587946
Nam, S., French, A. D., Condon, B. D., & Concha, M. (2016). Segal crystallinity index revisited by the simulation of X-ray diffraction patterns of cotton cellulose Iβ and cellulose II. Carbohydrate Polymers, 135, 1–9. https://doi.org/10.1016/j.carbpol.2015.08.035
Pervez, M. N., Shafiq, F., Jilani, M. M., Sarwar, Z., & Cai, Y. J. (2017). Research on crystallinity, morphology of cotton subjected to enzyme and crosslinking treatment. Materials Science Forum, 893, 71–76. https://doi.org/10.4028/www.scientific.net/MSF.893.71
Rehman, M., Gang, D., Liu, Q., Chen, Y., Wang, B., Peng, D., & Liu, L. (2019). Ramie, a multipurpose crop: Potential applications, constraints and improvement strategies. Industrial Crops and Products, 137, 300–307. https://doi.org/10.1016/j.indcrop.2019.05.029
Segal, L., Creely, J. J., Martin, A. E., & Conrad, C. M. (1959). An empirical method for estimating the degree of crystallinity of native cellulose using the X-ray diffractometer. Textile Research Journal, 29(10), 786–794. https://doi.org/10.1177/004051755902901003
Simonassi, N. T., Pereira, A. C., Monteiro, S. N., Margem, F. M., Rodríguez, R. J. S., de Deus, J. F., Vieira, C. M. F., & Drelich, J. (2017). Reinforcement of polyester with renewable ramie fibers. Materials Research, 20(Suppl. 2), 51–59. https://doi.org/10.1590/1980-5373-mr-2016-1046
Wang, R. W., Wu, X. Y., Wang, S. Y., & Xu, B. (2009). Automatic identification of ramie and cotton fibers using characteristics in longitudinal view, Part I: Locating capture of fiber images. Textile Research Journal, 79(14), 1251–1259. https://doi.org/10.1177/0040517509102723
Yu, C. (2015). Natural textile fibres. In Textiles and fashion (pp. 29–56). Elsevier. https://doi.org/10.1016/B978-1-84569-931-4.00002-7
Azonuche, J. E., & Abamba, D. C. (2024). Factors influencing Choice of Clothing and textiles among undergraduate students: A study of Teaching Facilities, Career Prospects and Strategies for improvement. Shodh Sari-An International Multidisciplinary Journal, 03(01), 369–393. https://doi.org/10.59231/sari7677