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This study developed a novel pH-mediated antimicrobial dyeing process of cotton with prodigiosins nanomicelles produced by microbial fermentation. The average diameter of the pigment nanomicelles was 223.8 nm (range of 92.4-510.2 nm), and the pigment concentration was 76.46 mg/L. It was found that the superior dyeing effect of cotton fabric was achieved by adjusting the dye bath pH. When the pH was three, dyed cotton under 90 • C for 60 min exhibited the greatest color strength with good rubbing, washing and perspiration color fastness. By the breaking strength test and XRD analysis, it was concluded that the cotton dyed under the optimum condition almost suffered no damage. In addition, due to the presence of prodigiosins, dyed cotton fabric under the optimal process showed outstanding bacteriostatic rates of 99.2% and 85.5% against Staphylococcus aureus and Escherichia coli, respectively. This research provided an eco-friendly and widely-applicable approach for antimicrobial intracellular pigments with the property of pH-sensitive solubility in water to endow cellulose fabric with color and antibacterial activity.

Flexible sensors with stretchable and wearable characteristics have boosted wide interest in human motion detection and physiological signal monitoring. However, the majority of current sensors suffer from the lack of seamlessly integrated with clothes substrates, hindering their applications as “real” wearable devices. Herein, a facile low‐cost and scalable continuous capillary dip coating route is employed to deposit graphene inks onto nylon filaments to obtain graphene decorated nylon conductive filaments. The filaments exhibit noticeable promotion in electrical conductivity with remarkable laundry durability, and the electrical conductivity of our filaments could be up to 6.43 and 2.78 S m−1 before and after washing 10 times, respectively. Two kinds of conventional textile formation techniques, sewing and knitting, are utilized to form various textile pattern strain sensors from the conductive filaments as the building blocks, such as the linear‐type, knitted‐loop‐type, snail‐coil‐type sewed sensors and the tubular knitted fabric sensors respectively. The textile sensors with different patterns exhibited various sensing response, the knitted‐loop‐type sensor could reach the maximum strain 45.69% while the linear‐type one arrives at 13.64%. In addition, the above strain sensors exhibit high sensitivity and repeatability when monitoring the limb movement and human breathing.