Arsenic (As) is the world's most hazardous chemical found in drinking water of many countries; therefore, there is an urgent need for the development of low-cost adsorbents for its removal. Here, we report a highly versatile and synthetic route for the preparation of a three-dimensional (3D) graphene-iron oxide nanoparticle aerogel composite for the efficient removal of As from contaminated water. This unique three-dimensional (3D) interconnected network was prepared from natural graphite rocks with a simple reaction, without the use of harsh chemicals, which combines with the exfoliation of graphene oxide (GO) sheets via the reduction of ferrous ion to form a graphene aerogel composite decorated with iron oxide nanoparticles. The prepared adsorbent showed outstanding absorption performance for the removal of As from contaminated water, because of its high surface-to-volume ratio and characteristic pore network in the 3D architecture. The performed case study using real drinking water contaminated with As under batch conditions showed successful removal of arsenic to the concentration recommended by the World Health Organisation (WHO).

In this study, we explore for the first time the capabilities of nanoporous anodic alumina gradient-index filters (NAA-GIFs) functionalized with titanium dioxide (TiO) photoactive layers to enhance photon-to-electron conversion rates and improve the efficiency of photocatalytic reactions by "slow photon" effect. A set of NAA-GIFs was fabricated by sinusoidal pulse anodization, in which a systematic modification of various anodization parameters (i.e., pore widening time, anodization period, and anodization time) enables the fine-tuning of the photonic stopband (PSB) of these nanoporous photonic crystals (PCs) across the spectral regions. The surface of NAA-GIFs was chemically modified with photoactive layers of TiO to create a composite photoactive material with precisely engineered optical properties. The photocatalytic performance of TiO-functionalized NAA-GIFs was assessed by studying the photodegradation of three model organic dyes (i.e., methyl orange, Rhodamine B, and methylene blue) with well-defined absorption bands across different spectral regions under simulated irradiation conditions. Our study demonstrates that when the edges of characteristic PSB of TiO-modified NAA-GIFs are completely or partially aligned with the absorption band of the organic dyes, the photodegradation rate is enhanced due to "slow photon" effect. A rational design of the photocatalyst material with respect to the organic dye is demonstrated to be optimal to speed up photocatalytic reactions by an efficient management of photons from high-irradiance spectral regions. This provides new opportunities to develop high-performing photocatalytic materials for efficient photocatalysis with broad applicability.

A comprehensive study on the engineering of titanium dioxide-functionalized nanoporous anodic alumina distributed Bragg reflectors (TiO 2-NAA-DBRs) for photocatalysis enhanced by the "slow photon" effect is presented. The photocatalytic performance of these composite photonic crystals (PCs) is assessed by monitoring photodegradation of a variety of organic molecules with absorbance bands across the spectral regions. This study demonstrates that photocatalytic performance of TiO 2-NAA-DBRs is enhanced by the "slow photon" effect when the edges of the PC's photonic stopband (PSB) fall within the absorbance band of the organic molecules. The photocatalytic performance is significantly enhanced when the PSB's red edge is in close proximity to the absorbance band of the organic molecules. Overall photocatalytic degradation is also dependent on the total pore length of the PC structure, charge of the organic molecules, percentage of vis-NIR irradiation and matrix complexity (i.e. interfering ions and molecules) when the PC's PSB is partially or entirely misaligned with respect to the absorbance band of the organic molecules. Finally, the real-life application of TiO 2-NAA-DBRs to degrade pollutants such as pesticides in environmental matrices is