Posted in | News | Nanosensors | Graphene

Graphene-Based Biosensor to Detect Creatinine at Trace Levels

Reliable and accurate creatinine analysis is critical for the timely diagnosis and treatment of individuals with renal disease. In a study published in the journal Biosensors and Bioelectronics, an innovative biosensor based on graphene nanoplatelet/polydopamine molecularly imprinted polymer is presented for trace-level creatinine detection in a variety of bodily fluids.​​​​​​​

Graphene-Based Biosensor to Detect Creatinine at Trace Levels​​​​​​​

​​​​​​​Study: A graphene nanoplatelet-polydopamine molecularly imprinted biosensor for Ultratrace creatinine detection. Image Credit: Shidlovski/Shutterstock.com

The Significance of Creatinine

Creatinine is a chemical found in blood and filtered out by the kidneys and then removed through the urine. Creatinine is a waste product created by the regular wear and tear of the body's muscles. Creatinine levels in a person's blood indicate their muscle mass as well as their renal function.

The removal of creatinine from the bloodstream via urine is largely determined by the glomerular filtering rate, and urinary creatinine removal is utilized in medical practice to monitor renal function.

Precise techniques for monitoring creatinine levels in bodily fluids are needed to diagnose and monitor individuals with renal diseases.

Creatinine Detection and Measurement

The Jaffe colorimetry technique, which uses picric acid to mix with creatinine and generate orange-red structures that can be identified and quantified, is the most popular technique for detecting creatinine in medical practice. However, this colorimetry technique may be affected by pigmented molecules such as bilirubin and certain medicines, which can make the results unreliable.

Several different techniques for detecting creatinine have been explored thus far, such as enzymatic catalysis and noble metal nanoparticle-based detection.

Creatinase is an enzyme that can detect creatinine with high sensitivity; however, the specimen's stability is compromised because of the enzyme's short activity duration.

The high cost of raw ingredients and poor specificity impede the clinical deployment of biosensors based on noble metal nanoparticles like gold and silver nanoparticles.

A robust and highly sensitive method for monitoring creatinine levels in bodily fluids is, therefore, clearly required.

The Role of Molecularly Imprinted Polymer Biosensors

Biosensors based on molecularly imprinted polymers (MIPs) for highly-sensitive detection of tiny molecules have seen recent developments.

Such biosensors mimic the natural interplay of antigens and antibodies by enabling monomers to catch sample molecules during the polymerizing phase and generate 3D imprinting areas that can detect the targeted molecules.

Unfortunately, these molecularly imprinted polymer biosensors have some drawbacks. These drawbacks include a time-consuming polymerizing procedure, weak polymeric conductivity, which causes inadequate sensitivity, and deeply buried template molecules, which results in large amounts of background noise and a limited detection range.

Advantages of Using Graphene Nanoplatelets

Graphene nanoplatelets (GNPs) are low-cost, high-conductivity nanoscale carbonaceous materials with high surface-to-volume ratios.

Considering the conducting network created by GNP, which allows for rapid electron transport, a GNP-based biosensor may exhibit exceptional sensitivity and a very low limit of detection (LOD).

What Did the Researchers Do?

A biosensor developed with a molecularly imprinted polydopamine layer on graphene nanoplatelets was presented in this work.

The unique approach of using surface-MIP avoids an excessively-thick MIP coating, allowing a greater number of template molecules to be located on or in close vicinity to the polymeric surface during the polymerizing procedure.

This guarantees that template molecules are completely removed, resulting in a larger range for detection.

Given appropriate conditions, dopamine hydrochloride (DA) monomers may self-polymerize and stick to different substrates, implying that the developed GNP/PDA-MIP composite may be manufactured in a facile one-pot approach, circumventing the laborious preparatory steps of traditional MIPs.

Important Findings of the Study

The team presented a unique MIP electrolytic biosensor based on graphene nanoplatelet and polydopamine composites for highly sensitive creatinine detection in different bodily fluids.

Using a simple and environmentally safe one-pot fabrication process, a coating of PDA was deposited onto the GNP surface.

The results of this study showed that this approach has good specificity and sensitivity, and dependable stability, because of the strong conductance of graphene nanoplatelets and the numerous imprinted areas of the surface-MIP.

Compared with existing creatinine biosensors, the most notable benefits of the proposed GNP/PDA-MIP biosensor were its incredibly broad linear response range and very low LOD. 

This study presented an approach that allows for a potentially non-invasive point of care (POC) detection technique for the frontline medical diagnosis of creatinine levels and opens up the possibility for POC detection of various other biomarkers in bodily fluids for diagnosing a broad spectrum of illnesses.

Reference

Li, Y., Luo, L., Nie, M., Davenport, A., Li, Y., Li, B., & Choy, K.-L. (2022). A graphene nanoplatelet-polydopamine molecularly imprinted biosensor for Ultratrace creatinine detection. Biosensors and Bioelectronics. Available at: https://doi.org/10.1016/j.bios.2022.11463

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Shaheer Rehan

Written by

Shaheer Rehan

Shaheer is a graduate of Aerospace Engineering from the Institute of Space Technology, Islamabad. He has carried out research on a wide range of subjects including Aerospace Instruments and Sensors, Computational Dynamics, Aerospace Structures and Materials, Optimization Techniques, Robotics, and Clean Energy. He has been working as a freelance consultant in Aerospace Engineering for the past year. Technical Writing has always been a strong suit of Shaheer's. He has excelled at whatever he has attempted, from winning accolades on the international stage in match competitions to winning local writing competitions. Shaheer loves cars. From following Formula 1 and reading up on automotive journalism to racing in go-karts himself, his life revolves around cars. He is passionate about his sports and makes sure to always spare time for them. Squash, football, cricket, tennis, and racing are the hobbies he loves to spend his time in.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Rehan, Shaheer. (2022, August 25). Graphene-Based Biosensor to Detect Creatinine at Trace Levels. AZoNano. Retrieved on April 28, 2024 from https://www.azonano.com/news.aspx?newsID=39590.

  • MLA

    Rehan, Shaheer. "Graphene-Based Biosensor to Detect Creatinine at Trace Levels". AZoNano. 28 April 2024. <https://www.azonano.com/news.aspx?newsID=39590>.

  • Chicago

    Rehan, Shaheer. "Graphene-Based Biosensor to Detect Creatinine at Trace Levels". AZoNano. https://www.azonano.com/news.aspx?newsID=39590. (accessed April 28, 2024).

  • Harvard

    Rehan, Shaheer. 2022. Graphene-Based Biosensor to Detect Creatinine at Trace Levels. AZoNano, viewed 28 April 2024, https://www.azonano.com/news.aspx?newsID=39590.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.