Solar–to-hydrogen conversion: nanostructuring increases efficiency of metal-free photocatalysts by factor eleven

PCN nanolayers under sunlight can split water.

PCN nanolayers under sunlight can split water. © Nannan Meng /Tianjin University

A heat treatment produced samples consisting of individual nanolayers with large pores containing different amino groups with specific functionalities.

A heat treatment produced samples consisting of individual nanolayers with large pores containing different amino groups with specific functionalities. © Nannan Meng /Tianjin University

Polymeric carbon nitrides exhibit a catalytic effect in sunlight that can be used for the production of hydrogen from solar energy. However, the efficiency of these metal-free catalysts is extremely low. A team at the Tianjin University in China, in collaboration with a group at the Helmholtz-Zentrum Berlin, has increased the catalytic efficiency of these polymeric carbon nitrides by a factor eleven through a simple process resulting in a larger surface area. The paper was published in the journal Energy & Environmental Science.

One of the major challenges of the energy transition is to supply energy even when the sun is not shining. Hydrogen production by splitting water with the help of sunlight could offer a solution. Hydrogen is a good energy storage medium and can be used in many ways. However, water does not simply split by itself. Catalysts are needed, for instance Platinum, which is rare and expensive. Research teams the world over are looking for more economical alternatives. Now a team headed by Dr. Tristan Petit from the HZB, together with colleagues led by Prof. Bin Zhang from Tianjin University, Tianjin, China, has made important progress using a well-known class of metal-free photocatalysts.

Nanolayers with large pores

Bin Zhang and his team specialise in the synthesis of polymeric carbon nitrides (PCN) that is considered a good candidate as a catalyst for hydrogen production. The PCN molecules form a structure that can be compared to thin layers of filo pastry dough: sheets of this material lie on top of each other tightly packed together. The Chinese chemists have now succeeded by means of a relatively simple two-step heat treatment in separating the individual sheets from each other – the same way that puff pastry separates into individual crispy layers in the oven. The heat treatment produced samples consisting of individual nanolayers with large pores containing different amino groups with specific functionalities.

Amino- and oxygenated groups analysed at BESSY II

Petit and his team investigated a series of these PCN samples at BESSY II. “We were able to determine which amino and oxygenated groups had been deposited in the pores”, PhD-student Jian Ren and co-first author of the publication explains. They could analyse how specific amino groups pull electrons to themselves, a particularly favourable property for splitting water, and how new oxygen-based defects were formed.

Efficiency increased by factor eleven

When combined with nickel as a co-catalyst, those samples of nanostructured PCN actually exhibited record-breaking efficiency, eleven times that of normal PCN under visible light irradiation.

Photocatalytic processes at BESSY II unraveled

“This demonstrates that PCN is an interesting potential catalyst for solar-to-hydrogen production, approaching the efficiency of inorganic catalysts”, explains Petit, who is a Volkswagen Foundation Freigeist Fellow. “Furthermore, this work also shows that soft X-ray spectroscopies are essential tools to unravel possible catalytically active sites on photocatalysts.”

Published in Energy&Environmental Science (2018): Engineering oxygen-containing and amino groups into two-dimensional atomically-thin porous polymeric carbon nitrogen for enhanced photocatalytic hydrogen production; Nannan Meng,Jian Ren,Yang Liu,Yi Huang, Tristan Petit & Bin Zhang

Doi:  10.1039/C7EE03592F

 

 

arö

  • Copy link

You might also be interested in

  • Nanosilver as an electrocatalyst for CO₂ reduction
    Science Highlight
    24.09.2026
    Nanosilver as an electrocatalyst for CO₂ reduction
    Via electrolysis, CO2 can be reduced to CO, a raw material for further chemical products such as fuels. Within the GreenQuest Project, an internation team led by HZB chemist Prashanth Menezes has now systematically investigated catalyst layers made of silver nanoparticles, varying both the size of the particles and their density. The best yield was achieved with nanoparticles with diameters of around 10 nm, which were loosely distributed. Furthermore, they demonstrated how the economic efficiency of the electrochemical cell can be enhanced by integrating an additional chemical reaction at the anode, enabling the simultaneous production of a valuable formic acid, hydrogen, and CO in one device.
  • Spin waves inside a nano-oscillator imaged for the first time
    Science Highlight
    23.09.2026
    Spin waves inside a nano-oscillator imaged for the first time
    For the first time, researchers have directly imaged the magnetisation dynamics inside a spin Hall nano-oscillator — a nanoscale device that converts direct current into tunable microwave signals and is a promising building block for energy-efficient wireless communication and brain-inspired computing. A Swedish–German team led by the University of Gothenburg and Helmholtz-Zentrum Berlin (HZB) achieved this using time-resolved scanning transmission X-ray microscopy at the MAXYMUS instrument at BESSY II. The results, now published in Advanced Materials, reveal spin-wave features that had escaped previous, indirect measurement techniques.
  • Joint power instead of duplicate structures:
    News
    18.09.2026
    Joint power instead of duplicate structures:
    Berlin’s research community is further advancing its research excellence by establishing a high-performance, cross-institutional infrastructure for data and AI. With a joint agreement signed on 18 September 2026, the Berlin University Alliance (BUA), the Helmholtz-Zentrum Berlin (HZB) and the Zuse Institute Berlin (ZIB) are paving the way for a joint data science and AI centre in Berlin-Dahlem and Adlershof.