Theoretical design of molecularly imprinted polypyrrole biosensor for the detection of renal failure biomarkers

Rajaee, Elham; Izadyar, Mohammad; Housaindokht, Mohammad Reza

doi:10.1039/d3me00005b

Mol. Syst. Des. Eng.

2023

DOI: 10.1039/d3me00005b

|View full text |Cite

Theoretical design of molecularly imprinted polypyrrole biosensor for the detection of renal failure biomarkers

Elham Rajaee,

Mohammad Izadyar,

Mohammad Reza Housaindokht

Abstract: This study aimed to perform a rational design for molecularly imprinted polymer (MIP) preparation, by using pyrrole as the functional monomer for detection of renal failure biomarkers. Theoretical optimization and...

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers

Li,

Luo,

Kong

et al. 2024

Adv Funct Materials

View full text Add to dashboard Cite

Chronic kidney disease (CKD) is one of the most serious non‐communicable diseases affecting the population. In the early‐stages patients have no obvious symptoms, until it becomes life‐threatening leading end‐stage kidney failure. Therefore, it is important to early diagnose CKD to allow therapeutic interventions and progression monitoring. Here, a point‐of‐care (POC) sensing platform is reported for the simultaneous detection of three CKD biomarkers, namely creatinine, urea, and human serum albumin (HSA), using reduced graphene oxide/polydopamine‐molecularly imprinted polymer (rGO/PDA‐MIP) fabricated with novel surface‐molecularly imprinting technology. A multi‐channel electrochemical POC readout system with differential pulse voltammetry (DPV) function is developed, allowing the simultaneous detection of the three biomarkers, in combination with the surface‐MIP electrodes. This sensing platform achieves the record low limit‐of‐detection (LoD) at a femtomolar level for all three analytes, with wide detection ranges covering their physiological concentrations. Clinical validation is performed by measuring these analytes in serum and urine from healthy controls and patients with CKD. The average recovery rate is 81.8–119.1% compared to the results obtained from the hospital, while this platform is more cost‐effective, user‐friendly, and requires less sample‐to‐result time, showing the potential to be deployed in resource‐limited settings for the early diagnosis and tracking progression of CKD.

show abstract

A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers

Li,

Luo,

Kong

et al. 2024

Adv Funct Materials

View full text Add to dashboard Cite

show abstract

Design of molecularly imprinted polymers (MIP) using computational methods: A review of strategies and approaches

Mohsenzadeh,

Ratautaite,

Brazys

et al. 2024

WIREs Comput Mol Sci

View full text Add to dashboard Cite

This paper focuses on the computationally assisted design of molecularly imprinted polymers (MIP), emphasizing the selected strategies and chosen methods of approach. In summary, this paper provides an overview of the MIP fabrication procedure, focusing on key factors and challenges, where the fabrication of MIP includes a step‐by‐step process with extensive experimental procedures. This brings challenges in optimizing experimental conditions, such as the selection of monomer, cross‐linker, and their relevant molar ratios to the template and solvent. Next, the principles of computational methods are elucidated to explore their potential applicability in solving the challenges. The computational approach can tackle the problems and optimize the MIP's design. Finally, the atomistic, quantum mechanical (QM), and combined methods in the recent research studies are overviewed with stress on strategies, analyses, and results. It is demonstrated that optimization of pre‐polymerization mixture by employing simulations significantly reduces the trial‐and‐error experiments. Besides, higher selectivity and sensitivity of MIP are observed. The polymerization and resulting binding sites by computational methods are considered. Several models of binding sites are formed and analyzed to assess the affinities representing the sensitivity and selectivity of modeled cavities. Combined QM/atomistic methods showed more flexibility and versatility for realistic modeling with higher accuracy. This methodological advancement aligns with the principles of green chemistry, offering cost‐effective and time‐efficient solutions in MIP design.This article is categorized under: Structure and Mechanism > Molecular Structures Structure and Mechanism > Computational Materials Science Molecular and Statistical Mechanics > Molecular Interactions

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Theoretical design of molecularly imprinted polypyrrole biosensor for the detection of renal failure biomarkers

Abstract: This study aimed to perform a rational design for molecularly imprinted polymer (MIP) preparation, by using pyrrole as the functional monomer for detection of renal failure biomarkers. Theoretical optimization and...

Cited by 2 publications

References 62 publications

A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers

A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers

Design of molecularly imprinted polymers (MIP) using computational methods: A review of strategies and approaches

Contact Info

Product

Resources

About