A novel biosensor based on molecularly imprinted polymer coated nanofiber composite for uric acid analysis in body fluids


Hashemi-Moghaddam H., ÖZALP Ö., SOYLAK M.

Materials Today Communications, cilt.36, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.mtcomm.2023.106895
  • Dergi Adı: Materials Today Communications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Biosensor, Imprinted polymers, Nanofiber, Sweat, Uric acid
  • Erciyes Üniversitesi Adresli: Evet

Özet

There are biomarkers in sweat and urine that can reveal a subject's level of health. Colorimetric techniques can be used to analyze these biomarkers, which is important for noninvasive tracking without the need to take blood samples. A novel, polymer-imprinted, polymer-coated nanofiber composite was synthesized using a colorimetric technique to noninvasively monitor uric acid in sweat and urine. Then, the new adsorbent has been characterized using SEM, STEM and FTIR spectroscopy, the optimization of parameters such as pH, time, and various interference ions' effects was investigated. Results showed that the newly synthesized adsorbent is very selective and efficient for the extraction and determination of uric acid. The method's ability to determine uric acid without interference from nearly all other biochemical compounds present in biological fluids is a noteworthy advantage. Both real and synthetic urine and sweat were measured for uric acid content using the current method and HPLC-DAD. The findings were satisfactorily comparable, allowing the suggested method's applicability to actual samples to be verified. Additionally, the sensing device's adaptability and durability allowed for the successful, highly sensitive, and semi-quantitative analysis of uric acid in sweats. The colorimetric method's clear feedback is demonstrated in real-time, on-body experiments using healthy human subjects. The described wearable sweat-based monitoring system is dependable and simple to use.