A holistic decision-making approach for identifying influential parameters affecting sustainable production process of canola bast fibres and predicting end-use textile choice using principal component analysis (PCA)

Abstract

Recent research has discovered and validated that canola fibre polymer has a lower density than major industrial fibres like cotton, jute, hemp, or flax. A few studies have identified key backgrounds that relate to canola fibre polymer production parameters; however, none have modelled an analytical hierarchy process to identify the influential parameters while producing the canola fibre polymers. The current study used Plackett-Burman design analysis to optimize the fibre polymer yield (%) during retting Statistical tools including Fisher's LSD, ANOVA, Pearson's correlation coefficient, and principal component analysis (PCA) were applied for a comparative analysis among four different canola cultivars (HYHEAR 1, Topas, 5440, 45H29). Physical testing and non-parametric statistical analysis tools like Chi-square (X 2 ) test were used to investigate the effect of cultivar on the physique of the stems--the source of biomass. This holistic approach was taken to correlate key factors for the sustainable manufacturing of canola fibre polymers. Such knowledge will lay an effective foundation for future material-science research works, consumer wearable manufacturing industries, and engineering design for composite or nonwoven fabrication using this lightweight natural fibre polymer.

Evaluation of Green Super Rice Lines for Agronomic and Physiological Traits under Salinity Stress

“…In different agricultural crops such as Brassica napus L. [ 65 ], Zea mays L. [ 66 ], Glycine max [ 67 ], Triticum aestivum [ 10 ], and Oryza sativa [ 29 , 68 ], principal component analysis (PCA) has been utilized to identify salt-tolerant lines. In this study, PCA results indicate that shoot-related parameters cluster together showing a strong correlation among them.…”

Farklı melez kombinasyonları ile elde edilmiş su kabağı (Lagenaria siceraria) melezlerinin su kültürü koşullarında tuz stresine morfolojik ve fizyolojik olarak tolerans düzeylerinin belirlenmesi

“…Kırmızı daire içinde yer alan genotipler ise, grafiğin ikinci ve dördüncü bölgesinde yer alan parametreler bakımından en kötü sonuç veren bitkilerden oluşmaktadır. Tuza dayanıklı hatları belirlemek için Brassica napus L. (Shuvo, 2021), Zea mays L. (Andrade et al, 2020), Glycine max (Azam et al, 2020), Triticum aestivum (Uzair et al, 2022) ve Oryza sativa (Das et al, 2019) gibi farklı tarımsal ürünlerde, temel bileşen analizi (TBA) kullanılmışlardır.…”

Characterization of new cellulosic fiber derived from Lasia spinosa (L.) thwaites rhizome and its potential use as biodegradable textile material

“…The moisture content of the fiber samples was measured using equation (3) [ 5 ]: where M = Original mass of fiber sample in grams (g), D = Oven-dry mass of fiber sample in grams. Moisture regain of the fiber samples were measured using equation (4) [ 26 ]: where D = Oven-dry mass of the fiber sample in grams. The mean value of the moisture content and moisture regain was calculated for accurate results.…”