Nanomaterials for photocatalysis and applications in environmental remediation and renewable energy

• Viet Van Pham and
• Wee-Jun Ong

Beilstein J. Nanotechnol. 2023, 14, 722–724, doi:10.3762/bjnano.14.58

• persistent organic pollutants (POPs) also contributes to water pollution, increasing global environmental pollution. Recently, the reduction and conversion of CO2 into fuel as valuable hydrocarbon products has been drawing attention from scientists in materials science, chemical engineering, nanotechnology

Bismuth-based nanostructured photocatalysts for the remediation of antibiotics and organic dyes

• Akeem Adeyemi Oladipo and
• Faisal Suleiman Mustafa

Beilstein J. Nanotechnol. 2023, 14, 291–321, doi:10.3762/bjnano.14.26

• ecological concerns of excess antibiotics and dyes in the environment. This article discusses the use of nanomaterials based on bismuth for the remediation of persistent organic pollutants. Bismuth and bismuth-based nanostructured photocatalysts Bismuth (Bi) is a semimetal and a member of the p-block with a

Non-stoichiometric magnetite as catalyst for the photocatalytic degradation of phenol and 2,6-dibromo-4-methylphenol – a new approach in water treatment

• Joanna Kisała,
• Anna Tomaszewska and
• Przemysław Kolek

Beilstein J. Nanotechnol. 2022, 13, 1531–1540, doi:10.3762/bjnano.13.126

• the available electrons, and, as a result, bromide ions can be released. The results confirm that magnetite is an effective photocatalyst in the degradation of halogenated aromatic pollutants. Keywords: magnetite; ozonolysis; persistent organic pollutants; photocatalysis; water treatment

• , ozonation, Fenton chemistry, and photocatalysis have been successfully used to remove persistent organic pollutants (POPs) or as a pre-treatment in conventional or biological methods [10]. Ozonation is an AOP technique that has been widely used to remove organic compounds such as drugs, pesticides

Adsorptive removal of bulky dye molecules from water with mesoporous polyaniline-derived carbon

• Hyung Jun An,
• Jong Min Park,
• Nazmul Abedin Khan and
• Sung Hwa Jhung

Beilstein J. Nanotechnol. 2020, 11, 597–605, doi:10.3762/bjnano.11.47

• removal of contaminants of emerging concern, hazardous organics and persistent organic pollutants. Carbonaceous materials have been particularly attractive in the purification of contaminated water via adsorption because of the easy preparation of carbon materials [26], especially from waste materials [28

SERS active Ag–SiO₂ nanoparticles obtained by laser ablation of silver in colloidal silica

• Cristina Gellini,
• Francesco Muniz-Miranda,
• Alfonso Pedone and
• Maurizio Muniz-Miranda

Beilstein J. Nanotechnol. 2018, 9, 2396–2404, doi:10.3762/bjnano.9.224

• chemical reactants. These nanocomposites, which combine the adsorption properties of silica with the plasmonic properties of nanometer-sized silver, can be used for several purposes, for example, for the SERS detection of environmental contaminants such as POPs (persistent organic pollutants), as

Modeling adsorption of brominated, chlorinated and mixed bromo/chloro-dibenzo-p-dioxins on C₆₀ fullerene using Nano-QSPR

• Piotr Urbaszek,
• Agnieszka Gajewicz,
• Celina Sikorska,
• Maciej Haranczyk and
• Tomasz Puzyn

Beilstein J. Nanotechnol. 2017, 8, 752–761, doi:10.3762/bjnano.8.78

• present and dangerous Studies on chlorinated dibenzo-p-dioxins (PCDDs) as representatives of persistent organic pollutants (POPs) [1] are an important area of the environmental sciences and scientific research [2][3][4][5]. PCDDs are usually represented by 2,3,7,8-tetrachloro dibenzo-p-dioxin (TCDD

• was generated as a part of the Persistent Organic Pollutants Big Data project by using ConGENER software [47], and described in more detail in our previous study [48]. A set of 26 so-called molecular descriptors was calculated for each congener at the semi-empirical PM6 level. A descriptor, by

• interactions for organic compounds like pesticides or halogenated persistent organic pollutants [55][57][58][59]. All calculations were performed with the Gaussian 09 program [60]. Nano-QSPR modeling The Nano-QSPR method is based on the assumption that the variance in the physicochemical properties of