Graphite carbon nitride (g‐C3N4) and SiC have drawn increasing attention for application in visible light photocatalytic hydrogen evolution by water splitting due to their unique band structure and high physicochemical stability. Herein, a g‐C3N4‐SiC heterojunction with loaded noble metal is constructed. The g‐C3N4‐SiC‐Pt composite photocatalysts are successfully prepared by the combination method of bio‐reduction, sol deposition, and calcination. The layers of g‐C3N4 are thinned, and both SiC and Pt nanoparticles are simultaneously tightly bound to g‐C3N4 by calcination during the preparation of g‐C3N4‐SiC‐Pt. The heterojunction formed at the interface of SiC and g‐C3N4 enhances the separation efficiency of the photogenerated electron–hole pairs. These composite photocatalysts achieve a high hydrogen evolution rate of 595.3 μmol h−1 g−1 with 1 wt% of deposited Pt, which is 3.7‐ and 2.07‐fold higher than those of g‐C3N4‐bulk and g‐C3N4‐SiC under visible light irradiation with a quantum efficiency of 2.76% at 420 nm, respectively.

No abstract

A green and environmentally‐friendly exploration of noble metals' load on photocatalysts for bio‐reduction sol‐deposition calcination is reported. The composite photocatalyst of g‐C3N4‐SiCPt achieves a high hydrogen evolution rate of 595.3 μmol h−1 g−1, 3.7‐ and 2.07‐fold higher than g‐C3N4‐bulk and g‐C3N4‐SiC, respectively, under visible‐light irradiation, with a quantum efficiency of 2.76% at 420 nm. More details can be found in article number http://doi.wiley.com/10.1002/ente.1900017 by Yanmei Zheng and co‐workers.

Diethylene glycol dibenzoate (DEDB) is nowadays considered as one of the most promising environment-friendly plasticizers. Isobaric vapor–liquid equilibrium (VLE) data were measured for the binary systems diethylene glycol dibenzoate (DEDB) (1) + diethylene glycol (2), DEDB (1) + octyl benzoate (2) and ternary system DEDB (1) + diethylene glycol (2) + octyl benzoate (3) at 1.0152 kPa using a modified Othmer still, which enriched the basic data for DEDB. The UNIFAC model, Wilson model, and NRTL model were used to predict the VLE data of the binary and ternary systems. The comparison reveals that on average the most accurate VLE predictions are obtained with the NRTL model.