@inproceedings{bbddfb69cc184d7c933e247a39780d5f,
title = "Highly selective molecularly imprinted polymer for creatinine detection",
abstract = "Creatinine is a metabolic waste that is constantly get diffused in the blood and filtered by the kidneys to minimize levels of waste content related to blood toxicity for maintaining a healthy balance in the living body. In the current research, we have developed a sensing polymer system for the detection of side effects of cancer chemotherapy on human kidneys for determining the creatinine levels. The proposed research is related to the real-time detection of levels creatinine in an aqueous medium. The polymer was surface characterized using Field Emission Scanning Electron Microscope (FESEM) and Energy dispersive analysis X-ray (EDAX) and found to be structurally isotropic as well as monodispersed and chemically pure in nature. Fourier-transform infrared spectroscopy (FTIR) confirmed the successful removal of creatinine from the MIP polymer by breaking Amide bonding. The sensing polymer system is able to determine concentrations within the range of 1-50 parts per million (ppm) when checked using ultra-high-performance liquid chromatography (UHPLC). The results highlight the future possibility of modifying this system for early levels of creatinine rise for preventing life-threatening conditions and providing indications to medical practitioners in the form of ppm unit results where they can alter the chemotherapy medications or reduce the total drug dosage to avoid health disorders such as Acute Kidney Damage and Acute Kidney Failure.",
keywords = "Creatinine, blood toxicity, cancer, chemotherapy, field emission scanning electron microscope (FESEM), energy dispersive analysis X-ray (EDAX), Fourier-transform infrared spectroscopy (FTIR), ultra-high-performance liquid chromatography (UHPLC), parts per million (ppm), Acute Kidney Damage, Acute Kidney Failure",
author = "Prabhu, {Sumedha N.} and Mukhopadhyay, {Subhas Chandra} and Davidson, {Andrew S.} and Guozhen Liu",
year = "2019",
doi = "10.1109/ICST46873.2019.9047696",
language = "English",
isbn = "9781728148083",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1--5",
booktitle = "2019 13th International Conference on Sensing Technology (ICST)",
address = "United States",
note = "13th International Conference on Sensing Technology, ICST 2019 ; Conference date: 02-12-2019 Through 04-12-2019",
}