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In recent years, photothermal materials that can convert light into heat energy have attracted extensive attention. In this work, we report a simple and effective approach to construct a self-cleaning photothermal superamphiphobic fabric. Dopamine (DA) can self-polymerize into polydopamine (PDA) and adhere to the surface of cotton fabric as a secondary reaction platform. Then, SiO2nanoparticles were in situ grown on the PDA@fabric surface by the sol–gel method. The PDA clusters can not only provide good photothermal conversion performance but also be integrated with SiO2to create micro–nano rough structures. Finally, the surface of SiO2was modified by the long chain of fluorosilane to decrease the fabric surface energy, resulting in superamphiphobicity. The contact angles of water, ethylene glycol, and pump oil on the modified fabric surface could reach 161.1, 158.1, and 142.2°, respectively, making the fabric resistant to contamination by water, common beverages, and oil. Due to the adhesion of the PDA layer, the strong binding force between the fabric and SiO2particles enabled the modified fabric to withstand various chemical and mechanical attacks, showing excellent mechanical robustness and harsh environmental stability. More importantly, the surface temperature of the modified fabric could be increased from 19.6 to 37.0 °C, which is close to the human body temperature, under the irradiation of simulated sunlight (I= 15 A, 300 s). The photothermal superamphiphobic fabrics with self-cleaning properties show great promise in the photothermal conversion field.

A deeper understanding of the biological events occurring when bioprocess parameters changed will be of great value in improving the monoclonal antibodies (mAbs) production. Design of experiment (DoE) was applied to investigate the effect of process parameters (pH, temperature shift and dissolve oxygen (DO)) on protein titer. The key metabolites connecting the critical process parameters (CPPs) with monoclonal antibody production were identified by different chemometrics tools. Finally, the biological events of marker metabolites relating with titer improvement were concluded. pH and temperature shift were identified as CPPs that affect the target protein titer. A series of metabolites influenced by the altered CPPs and correlated with protein titer were screened by principal component analysis (PCA) and Pearson’ correlation test. The marker metabolites and their pathways linking CPPs to target protein titer in different culture phases were summarized. Metabolomics and chemometrics are promising data-driven tools to shine light into the biological black box between the bioprocess parameters and process performance.

Photothermal materials that can convert solar energy into heat energy through photothermal conversion have attracted extensive attention, but these materials are easily polluted by the environment. Here, we propose a simple and effective strategy for constructing photothermal superhydrophobic cotton fabrics with self-cleaning ability. The PDA@PEI@GA@Ag@PDMS-coated cotton fabric can achieve good superhydrophobicity (water contact angle: 159.6°) by a simple dipping method and mussel-inspired dopamine surface modification, which is regulated by the mass of dopamine, the mass of silver nitrate, and the concentration of polydimethylsiloxane (PDMS). The coated cotton fabric has good physical and chemical stability. Meanwhile, the coated cotton fabric has excellent self-cleaning and antifouling properties. The superhydrophobic PDA@PEI@GA@Ag@PDMS fabric exhibits excellent and stable photothermal properties, with the surface temperature reaching 70.4 °C under simulated sunlight with a current of 20 A. This photothermal superhydrophobic fabric with self-cleaning properties is expected to be applied in the field of photothermal conversion.