
handle: 1822/99138
[Excerpt] The textile industry, although essential to Europe’s economy, exerts a substantial environmental impact due to intensive resource consumption and highly polluting dyeing and finishing processes. Conventional petrochemical dyes rely on hazardous, water-demanding methods that generate toxic effluents, reinforcing the need for safer and renewable alternatives. Natural dyes offer a promising sustainable route, as they are biodegradable, less toxic, and can provide a wide range of functionalities, despite challenges such as limited fiber affinity and uneven coloration. Marine algae, macro and microalgae, are rich in biopolymers, pigments and bioactive molecules. Ulvan, a sulfated polysaccharide from Ulva, has attracted increasing interest as a sustainable auxiliary in textile dyeing and finishing processes. Hence, this study evaluates eco-friendly ulvan extraction methods (citric acid, ultrasound, enzymatic and combined processes) from Ulva macroalgae, while simultaneously exploring the potential of microalgae as a source of pigments and bioactive compounds to enable sustainable algae-based dyeing and functionalization of textiles. The findings highlight the strong potential of algae derived formulations as scalable and sustainable alternatives for the textile sector.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
