Xiaoguang Duan
Biographic Data
| ID | 6275209 |
|---|---|
| NAME | Xiaoguang Duan |
| GIVEN NAMES | Xiaoguang |
| FAMILY NAME | Duan |
| SIGNATURE | DUAN X |
| AFFILIATIONS | The University of Adelaide |
| ORCID | 0000-0001-9635-5807 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Electrifying water treatment at device level
Best practices for advanced oxidation processes
Catalysis at the intersection of sustainable chemistry and a circular economy
The modern (petro)chemical industry has supported substantial development but uses unsustainable fossil resources detrimental to the Earth's ecosystem via climate change and chemical pollution. This commentary highlights how catalysts can support development of critical fuel and chemicals manufacturing using sustainable waste resources to transition the industry from a linear to a circular economy
Converting waste plastics into construction applications
Quasi-MOF derivative-based electrode for efficient electro-Fenton oxidation
Developing efficient and robust materials for emerging electrodegradation of organic pollutants has attracted broad interests. In this study, a novel controlled pyrolysis approach was employed to fabricate a quasi-MOF derivative-based electrode by pyrolyzing MIL-101(Fe) anchored on a polyaniline-modified carbon fiber paper at 400 °C. The construction of the accessible Fe-O sites, and the in situ generation of Fe 3 O 4 nanoparticles with graphene-…
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Background: Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early identification and prediction of patients at risk of sepsis and adverse outcomes associated with sepsis are critical. We aimed to develop an artificial intelligence algorithm that can predict sepsis early. Methods: This was a seco…
Impacts and mitigation measures of plastic waste
Quasi-MOF derivative-based electrode for efficient electro-Fenton oxidation
Developing efficient and robust materials for emerging electrodegradation of organic pollutants has attracted broad interests. In this study, a novel controlled pyrolysis approach was employed to fabricate a quasi-MOF derivative-based electrode by pyrolyzing MIL-101(Fe) anchored on a polyaniline-modified carbon fiber paper at 400 °C. The construction of the accessible Fe-O sites, and the in situ generation of Fe 3 O 4 nanoparticles with graphene-…
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Background: Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early identification and prediction of patients at risk of sepsis and adverse outcomes associated with sepsis are critical. We aimed to develop an artificial intelligence algorithm that can predict sepsis early. Methods: This was a seco…
Impacts and mitigation measures of plastic waste
Converting waste plastics into construction applications
Catalysis at the intersection of sustainable chemistry and a circular economy
The modern (petro)chemical industry has supported substantial development but uses unsustainable fossil resources detrimental to the Earth's ecosystem via climate change and chemical pollution. This commentary highlights how catalysts can support development of critical fuel and chemicals manufacturing using sustainable waste resources to transition the industry from a linear to a circular economy
Best practices for advanced oxidation processes
Electrifying water treatment at device level
Engineering (3 works) · Advanced oxidation water treatment (2 works) · Business (2 works) · Computer Science (2 works) · Ecology (2 works) · Microplastics and Plastic Pollution (2 works) · Recycling and Waste Management Techniques (2 works) · Sustainable Supply Chain Management (2 works) · Waste management (2 works) · Anode (1 work)