Determination of sitagliptin in human plasma using a smart electrochemical sensor based on electroactive molecularly imprinted nanoparticles

Abstract

A sitagliptin voltammetric sensor was fabricated using artificial receptors called electroactive molecularly imprinted polymer nanoparticles (nanoMIP). The nanoMIP tagged with a redox probe (ferrocene) combines both the recognition and reporting...

Electrochemical sensing of macromolecules based on molecularly imprinted polymers: challenges, successful strategies, and opportunities

“…The sensor was able to selectively detect the target analyte in a linear range between 83 and 410 μM. After this first successful application, other works have reported the use of nanoMIP integrating both recognition and reporting functions by synthesizing MIP NPs tagged with a redox probe [ 196 ]. Although this alternative indirect electrochemical detection scheme proved to be effective for different imprinted targets, to the best of our knowledge, it has not yet been explored for protein detection.…”

Ultrasensitive Chemically Modified Carbon Paste Sensor for Reliable and Selective Potentiometric Determination of Trace Amounts of Sitagliptin in Real Samples

“…Various analysis methods for the quantitation of sitagliptin, such as spectrophotometry, [6][7][8][9] spectrofluorimetry, [10,11] HPLC, [12][13][14][15] electrophoresis [16] and voltammetry. [17] Although many of these introduced techniques may be sensitive and accurate, some drawbacks such as low selectivity, sample pretreatment process, time-consuming procedure, special expertise, and expensive and sophisticated devices limit their use in routine analyses. Therefore, it is essential to establish rapid, selective, low-level and low-cost techniques to determine SG in different samples.…”

“…Analytical techniques for analyzing sitagliptin in biological media require an understanding of pharmacological processes like distribution, absorption, elimination and metabolism. Various analysis methods for the quantitation of sitagliptin, such as spectrophotometry, [6–9] spectrofluorimetry, [10,11] HPLC, [12–15] electrophoresis [16] and voltammetry [17] . Although many of these introduced techniques may be sensitive and accurate, some drawbacks such as low selectivity, sample pretreatment process, time‐consuming procedure, special expertise, and expensive and sophisticated devices limit their use in routine analyses.…”

A Magnetite Composite of Molecularly Imprinted Polymer and Reduced Graphene Oxide for Sensitive and Selective Electrochemical Detection of Catechol in Water and Milk Samples: An Artificial Neural Network (ANN) Application

“…[13][14][15] Molecularly imprinted polymers (MIPs), as outstanding nanocomposites offer several advantages such as high selectivity, resistance toward high levels of pressure, temperature, and physicochemical changes. [16][17][18][19] MIPs are described as biomimetic molecules that can bind particularly to the analytes they are intended to detect. In the presence of the target molecule (template), MIPs are prepared through several techniques.…”

“…The target analyte is recognized by the cavities created in the synthesized polymer. 21,22 MIP-based electrochemical sensors offer more selective determination of various analytes, including small molecules such as metals, 17,23 acids, 24 waste water 25 as well as biological samples 26,27 even SARS-Cov-2 (COVID-19) detection. 28 Furthermore, machine learning offers several numerical simulations such as an artificial neural network that has been applied (ANN) to quantitatively anticipate and simulate sensor performance, in this regard, such models offer a great prediction of the undetected low concentrations.…”