Extraction, Stability, and Statistical Optimization of Pigments from Mango ( Mangifera indica L.) Peel as Sustainable Colorants for Cellulosic Fibers

Abstract Replacing synthetic dyes with natural alternatives derived from agro-industrial waste is crucial for the circular economy and the achievement of the Sustainable Development Goals. This study investigates the potential of mango peel (Mangifera indica L.) as a source of natural dye for cotton, focusing on pigment stability and the optimization of processing conditions. The alcoholic extract was physically and chemically characterized, confirming the presence of polyphenols and flavonoids responsible for the yellowish color and antioxidant activity. Stability studies revealed that the pigments are sensitive to alkaline conditions, high temperatures, and prolonged UV irradiation, indicating specific storage guidelines. The dyeing process was optimized using a 2k factorial design, evaluating color variation (CIELAB system) and dye bath exhaustion efficiency. The results demonstrated that bath temperature, extract concentration, and contact time are statistically significant factors for dyeing efficacy. The optimized conditions yielded consistent and reproducible coloration, positioning mango peel extract as a viable, sustainable alternative for the textile industry with the potential to reduce the environmental impact associated with conventional dyes.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-11-09
DOI
https://doi.org/10.1021/acsomega.6c08676
Primary Topic
Dyeing and Modifying Textile Fibers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Extraction, Stability, and Statistical Optimization of Pigments from Mango ( Mangifera indica L.) Peel as Sustainable Colorants for Cellulosic Fibers

Davi do Socorro Barros Brasil, Mauricio Castro da Costa Filho, Marlice Cruz Martelli, Paulo Wender Portal Gomes et al.
ACS Omega
Dyeing and Modifying Textile Fibers
article

Extraction, Stability, and Statistical Optimization of Pigments from Mango ( Mangifera indica L.) Peel as Sustainable Colorants for Cellulosic Fibers

Davi do Socorro Barros Brasil, Mauricio Castro da Costa Filho, Marlice Cruz Martelli, Paulo Wender Portal Gomes, Milton Nascimento Da Silva, Natâna Santos Cunha, Aila Teixeira Castelo Branco, Fernanda Letícia Araujo Silva
article en

Abstract

Abstract Replacing synthetic dyes with natural alternatives derived from agro-industrial waste is crucial for the circular economy and the achievement of the Sustainable Development Goals. This study investigates the potential of mango peel (Mangifera indica L.) as a source of natural dye for cotton, focusing on pigment stability and the optimization of processing conditions. The alcoholic extract was physically and chemically characterized, confirming the presence of polyphenols and flavonoids responsible for the yellowish color and antioxidant activity. Stability studies revealed that the pigments are sensitive to alkaline conditions, high temperatures, and prolonged UV irradiation, indicating specific storage guidelines. The dyeing process was optimized using a 2k factorial design, evaluating color variation (CIELAB system) and dye bath exhaustion efficiency. The results demonstrated that bath temperature, extract concentration, and contact time are statistically significant factors for dyeing efficacy. The optimized conditions yielded consistent and reproducible coloration, positioning mango peel extract as a viable, sustainable alternative for the textile industry with the potential to reduce the environmental impact associated with conventional dyes.

ACS Omega
Universidade Federal do Pará (BR)
Dyeing and Modifying Textile Fibers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon