Molecularly imprinted composite discs for transferrin recognition

Aylaz, Gülgün; Zenger, Okan; Peşint, Gözde Baydemir; Andaç, Müge

doi:10.1080/01496395.2021.1990950

Cited by 6 publications

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the negative controls were performed with HSA protein [ 76 ] and the HTR glycoprotein [ 77 ]. Other authors such as Aylaz et al or Ruiz et al used the same blood plasma components to attest the selectivity of their platforms [ 78 , 79 ]. Figure 10 show the information resulted from the sensing region incubation in 60 nmol/L (in PBS) of each interferent and in 36 nmol/L of the IgG standard solution, for five minutes.…”

Section: Resultsmentioning

confidence: 99%

Differential Refractometric Biosensor for Reliable Human IgG Detection: Proof of Concept

et al. 2022

View full text Add to dashboard Cite

A new sensing platform based on long-period fiber gratings (LPFGs) for direct, fast, and selective detection of human immunoglobulin G (IgG; Mw = 150 KDa) was developed and characterized. The transducer’s high selectivity is based on the specific interaction of a molecularly imprinted polymer (MIPs) design for IgG detection. The sensing scheme is based on differential refractometric measurements, including a correction system based on a non-imprinted polymer (NIP)-coated LPFG, allowing reliable and more sensitive measurements, improving the rejection of false positives in around 30%. The molecular imprinted binding sites were performed on the surface of a LPFG with a sensitivity of about 130 nm/RIU and a FOM of 16 RIU−1. The low-cost and easy to build device was tested in a working range from 1 to 100 nmol/L, revealing a limit of detection (LOD) and a sensitivity of 0.25 nmol/L (0.037 µg/mL) and 0.057 nm.L/nmol, respectively. The sensor also successfully differentiates the target analyte from the other abundant elements that are present in the human blood plasma.

show abstract

Section: Resultsmentioning

confidence: 99%

Differential Refractometric Biosensor for Reliable Human IgG Detection: Proof of Concept

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Moreover, its distinctive quality, known as the “memory” effect, has elevated the attention directed toward MIP (X. Xie et al, 2019). A number of benefits include affordability, thermal resistance, chemical stability, and ease of preparation for the imprinting procedure (Aylaz et al, 2022). On the other hand, the MIPs on the surface of nanocomposites help in enhancing the formation of porous surfaces, which increases the number of cavities (Cetinkaya et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Development of a molecularly imprinted polymer on silanized graphene oxide for the detection of 17‐estradiol in wastewater

Mughal,

Aylaz,

Shaikh

et al. 2024

Water Environment Research

View full text Add to dashboard Cite

This research article demonstrates the synthesis, characterization, and electrochemical evaluation of a molecularly imprinted polymer (MIP) on the surface of silanized graphene oxide (silanized GO), which is nanostructured and used to quantify 17‐estradiol (E2) in wastewater. As characterization methods, X‐ray diffraction (XRD), Raman spectroscopy, dynamic scattering light (DSL), scanning electron microscope (SEM), and Fourier transform infrared spectroscopy (FTIR) were utilized to examine the synthesized GO, silanized GO, MIP‐GO composite, and non‐imprinted polymer (NIP)–GO (NIP‐GO) composite. FTIR results confirmed the successful synthesis of GO composites. Raman study confirmed the synthesis of monolayer silanized GO, MIP‐GO composite, and NIP‐GO composite. Surface morphology revealed that after polymerization, the surface of silanized GO sheet‐like morphology is covered with nanoparticles. Adsorption kinetics studies revealed that adsorption follows the pseudo‐second‐order kinetics. Further, we studied the performance of a MIP‐GO‐based sensor by optimizing the effects of pH, scan rate, and incubation period. The linear calibration was achieved between the oxidation peak current and E2 concentration from 0.1 to 0.81 ppm, with a detection limit of 0.037 ppm. The selectivity of the MIP‐GO composite was also checked by using other estrogens, and it was found that E2 is 3.3, 0.5, and 1.4 times more selective than equilin, estriol, and estrone, respectively. The composite was successfully applied to the wastewater samples for the detection of E2, and a good percentage of recoveries were achieved. It suggests that the reported composite can be applied to real samples.Practitioner Points An innovative electrochemical sensor was developed for selective detection of 17‐estradiol through molecularly imprinted polymer fabricated on the surface of silanized GO (MIP‐GO composite). The developed method was comprehensively validated and found to be linear in the range of 0.1 to 0.8 ppm of 17‐estradiol, with 0.037 ppm of limit of detection and 0.1 ppm of limit of quantification, respectively. The developed MIP‐GO‐composite‐based electrochemical sensor was found 3.3, 0.5, and 1.4 times more selective for 17‐estradiol than equiline, estriol, and estrone, respectively. The applicability of a developed sensor was also checked on wastewater samples, and a good percent recovery was obtained.

show abstract

L-proline determination by molecularly imprinted nanoparticles: A potential nanoscale tool for the diagnosis of metabolic disorders

Nergiz,

Zenger,

Peşint

2024

Journal of Chromatography A

View full text Add to dashboard Cite

Molecularly imprinted composite discs for transferrin recognition

Cited by 6 publications

References 52 publications

Differential Refractometric Biosensor for Reliable Human IgG Detection: Proof of Concept

Differential Refractometric Biosensor for Reliable Human IgG Detection: Proof of Concept

Development of a molecularly imprinted polymer on silanized graphene oxide for the detection of 17‐estradiol in wastewater

L-proline determination by molecularly imprinted nanoparticles: A potential nanoscale tool for the diagnosis of metabolic disorders

Contact Info

Product

Resources

About