Sensor-based MIP technologies for targeted metabolomics analysis


Creative Commons License

Özçelikay G., Kaya S., Özkan E., Cetinkaya A., Nemutlu E., Kır S., ...Daha Fazla

TrAC - Trends in Analytical Chemistry, cilt.146, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 146
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.trac.2021.116487
  • Dergi Adı: TrAC - Trends in Analytical Chemistry
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Analytical Abstracts, Chemical Abstracts Core, Chimica, Compendex, EMBASE, Food Science & Technology Abstracts, DIALNET
  • Anahtar Kelimeler: Metabolomics, Molecularly imprinted polymer, Nanomaterial, Biosensor, Analysis, MOLECULARLY IMPRINTED POLYMER, ELECTROCHEMICAL SENSOR, CANCER BIOMARKER, TUMOR-MARKER, SARCOSINE, ACID, RECOGNITION, COMPOSITE, EXTRACTION, ELECTRODES
  • Ankara Üniversitesi Adresli: Evet

Özet

In recent years, metabolomics, identification and profiling of metabolites, have gained broad interest compared to other omics technologies and are progressively being utilized for biomarker discoveries. Therefore, the application of metabolomics in different fields are increasing day by day because of its high throughput results. However, the application of metabolomics requires state-of-the-art analytical approaches for the analysis. The complexity and limited availability of these instruments are restricting parameters for applying metabolomics studies in routine analysis. This problem may be overcome with molecularly imprinted polymer (MIP)-based electro sensors since they have high selectivity, sensitivity, easy applicability, portability, and low cost. This is the final step before developing end point-of-care tests (POCT), which patients can easily apply. MIP sensors will have more applications in the targeted metabolomics analysis to develop POCT systems. This review analyzes various metabolites using MIP-based electrochemical methods for their potential usage as POCT and biomarker research based on targeted metabolomics analysis requirements. The future applications for the sensitive assay of metabolites in medicine and clinical trials are also discussed.