Litcius/Paper detail

Fabrication of 1D/2D Au nanofiber/MIL-101(Cr)–NH2 composite for selective electrochemical detection of caffeic acid: Predicting sensor performance by machine learning and investigating the porosity using AI and computer vision-based image analysis

K. Kavya, Raju Suresh Kumar, R.T. Rajendra Kumar, Sivalingam Ramesh, Woochul Yang, Vijay Kakani, Yuvaraj Haldorai

2024Microchemical Journal16 citationsDOI

Topics & Concepts

PorosityCaffeic acidNanofiberComposite numberMaterials scienceFabricationElectrochemistryChemical engineeringNanotechnologyComposite materialChemistryEngineeringOrganic chemistryPhysical chemistryElectrodePathologyMedicineAntioxidantAlternative medicineElectrochemical sensors and biosensorsAdvanced Chemical Sensor TechnologiesGas Sensing Nanomaterials and Sensors
Fabrication of 1D/2D Au nanofiber/MIL-101(Cr)–NH2 composite for selective electrochemical detection of caffeic acid: Predicting sensor performance by machine learning and investigating the porosity using AI and computer vision-based image analysis | Litcius