L-proline determination by molecularly imprinted nanoparticles: A potential nanoscale tool for the diagnosis of metabolic disorders
dc.authorid | Baydemir Pesint, Gozde/0000-0001-8668-8296 | |
dc.contributor.author | Nergiz, Mustafa | |
dc.contributor.author | Zenger, Okan | |
dc.contributor.author | Pesint, Gozde Baydemir | |
dc.date.accessioned | 2025-01-06T17:43:46Z | |
dc.date.available | 2025-01-06T17:43:46Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Detecting and quantifying amino acids is vital in biochemical analyses, especially for diagnosing metabolic disorders. L-proline, among these amino acids, holds significant relevance for various metabolic disorders in living organisms, particularly in humans. hyperprolinemia arises when ineffective breakdown of L-proline occurs due to enzyme deficiencies, leading to its accumulation in the body and underscoring the need for precise monitoring. To address this challenge, molecular imprinting offers a reliable single-step technique for detecting target molecules like proteins, peptides, amino acids, or ions with high selectivity. Moreover, nanoparticles, with significant surface area-to-volume ratios, enable high-level mass transfer and binding kinetics, making them ideal for nano-scale sensitive applications. In this study, 2-hydroxyethyl methacrylate-based molecularly imprinted nanoparticles were synthesized via mini-emulsion polymerization, combining the advantages of molecular imprinting technique and nanoparticles for the specific recognition of L-proline, and were well-characterized by Scanning Electron Microscopy, zeta-sizer particle size analysis, and Fourier Transform Infrared Spectroscopy. Based on zeta-sizer analysis, the estimated diameters of L-proline-imprinted and non-imprinted nanoparticles (Pro-MIPs and NIPs) were determined to be approximately 27.51 nm and 20.66 nm, respectively. The adsorption of L-proline onto nanoparticles from aqueous solutions was investigated in a batch system, and the maximum Lproline adsorption capacity was determined to be 26.58 mg/g for Pro-MIPs and 4.65 mg/g for and NIPs. The selectivity of Pro-MIPs was assessed using Liquid Chromatography-Tandem Mass Spectrometry, even in human serum and in the presence of competing molecules (L-histidine and L-phenylalanine). Additionally, Pro-MIPs maintained their adsorption capacity through up to 10 adsorption-desorption cycles without significant decrease. | |
dc.description.sponsorship | Scientific Research Projects Coordination Unit of Adana Alparslan Turkes Science and Technology University [21303015] | |
dc.description.sponsorship | The content of this article is based on the Master's thesis titled Designing of L-Proline specific nanoparticles for L-Proline detection from human serum, authored by Mustafa Nergiz, which was funded by the Scientific Research Projects Coordination Unit of Adana Alparslan Turkes Science and Technology University (Grant number: 21303015). | |
dc.identifier.doi | 10.1016/j.chroma.2024.465106 | |
dc.identifier.issn | 0021-9673 | |
dc.identifier.issn | 1873-3778 | |
dc.identifier.pmid | 38917678 | |
dc.identifier.scopus | 2-s2.0-85196761655 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.chroma.2024.465106 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14669/2781 | |
dc.identifier.volume | 1730 | |
dc.identifier.wos | WOS:001260277800001 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.indekslendigikaynak | PubMed | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Journal of Chromatography A | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241211 | |
dc.subject | Nanomaterials | |
dc.subject | Molecularly imprinted polymers | |
dc.subject | Biomarker detection | |
dc.subject | L-proline | |
dc.subject | Hyperprolinemia | |
dc.title | L-proline determination by molecularly imprinted nanoparticles: A potential nanoscale tool for the diagnosis of metabolic disorders | |
dc.type | Article |