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The study aimed to investigate the impact of mechanically recycled cotton fibres from pre-consumer waste, blended with virgin cotton at varying ratios, on the mechanical and fastness properties of knitted fabrics.

Single jersey fabrics were produced using open-end rotor yarns with two different yarn counts, which were made from cotton blends obtained at three different mechanical recycled cotton blend ratios. The fabrics were then comparatively analysed for pilling resistance, bursting strength, dimensional stability, and fastness to perspiration, water, and rubbing. The investigations included fabrics made from 100% virgin cotton to determine the impact of mechanically recycled cotton fibres on the final fabric properties.

It was observed that using MR-CO at different ratios generally produced results similar to the usage properties obtained when using virgin cotton.

The study looked in detail at the effect of using mechanically recycled cotton (MR-CO) on the yarn properties and the mechanical and colour fastness properties of the fabrics produced using them. It was found that MR-CO has the potential to be an alternative fibre source to virgin cotton, not only mechanically but also in terms of colour fastness. Previous studies have commonly used MR-CO in fixed ratios or by incorporating various fibres into the blend. However, in this study, we determined the suitability of fabrics for their intended use by gradually increasing the MR-CO blend ratios and more clearly assessing the impact of MR-CO on fabric properties.

The apparel and textile sector poses a significant environmental challenge due to its substantial contribution to pollution in the form of air, water and soil pollution. To combat these issues, the adoption of sustainable practices is essential. This study aims to identify and analyse the barriers that hinder the progress of sustainability in the apparel and textile industry. By consulting experts in the field, critical barriers were identified and given special attention.

To achieve the research objective, an integrated approach involving Interpretive Structural Modelling (ISM) and fuzzy MICMAC decision-making techniques was employed. The results were further validated through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The findings highlight that barrier related to clothing disposal, inadequate adaptation to modern technology, challenges affecting sector efficiency and issues related to fashion design are crucial in influencing the remaining six barriers. Based on the outcomes of the DEMATEL method, a comprehensive cause-and-effect diagram was constructed to gain a deeper understanding of these challenges.

This research provides valuable insights for policymakers and stakeholders in the apparel and textile industry. It offers a strategic framework to address and overcome sustainability barriers, promoting the development of a more environmentally responsible and resilient sector.

The purpose of this research is to conduct an in-depth investigation of the barriers apparel and textile sectors. It is feasible that both the management team and the medical experts who provide direct patient care could benefit from this research.

This paper aims to contribute to understanding Brazilian fashion consumer behavior. The subsequent research question is formulated as follows: How are the consumers purchasing new clothes and disposing of used ones, and how is their awareness of sustainable fashion consumption and disposal of used clothes?

An online questionnaire was sent to nearly one thousand e-mails. A database was formed with 182 complete answers to 13 questions concerning consumer behavior toward sustainability, especially clothing acquisition, use and disposal. A multimethod approach was used to analyze the initial attributes, applying descriptive statistics, cluster analysis and data mining.

This survey obtained valuable answers from Brazilian fashion consumers grouped into four clusters. Age and yearly income were more critical in determining the clusters. Only four attributes were chosen by the algorithm to build the trees (age, annual income, yearly spending on clothes and how long the clothes are worn). The consumer's profile may help the fashion industry redirect investments in sustainability. The most critical factor leading to the sustainability of clothing fashion was the duration of the clothes. The study dealt with a limited sample size that was not representative of Brazil's broader population. Despite numerous attempts to seek responses through e-mail, the participant pool was predominantly composed of highly educated individuals.

This assessment of Brazilian consumer behavior toward sustainability and fashion presents essential knowledge to understand the relationships among variables affecting the purchase and discharge of clothes.