Advanced characterization in molecularly imprinted Polypyrrole for potentiometric lactose sensing

The motivation behind this study comes from the necessity to monitor lactose levels in milk for quality control and public health, as existing methods are often complex, time-consuming, and expensive. This research aims to develop a specific and sensitive potentiometric sensor for lactose detection using electropolymerised polypyrrole-based molecularly imprinted polymers (MIPs). MIP sensors were developed through chronoamperometric electropolymerisation of pyrrole in the presence of lactose, creating specific binding sites. Raman spectroscopy, Scanning Electron Microscopy (SEM), and Atomic Force Microscopy (AFM) were used to assess surface morphology confirming the presence of imprinted cavities and surface changes after lactose removal. The electrochemical performance of the sensors was evaluated by EIS spectroscopy demonstrating the influence of MIP cavities on the electron transfer of the sensor compared to non-imprinted polymer (NIP). Finally, open circuit potentials (OCP) in various lactose concentrations and real milk samples confirmed the high sensitivity and selectivity of the MIP sensors. Moreover, Principal Component Analysis (PCA), Partial Least Square Regression (PLS), and Support Vector Machine (SVM) models were satisfactorily employed to establish correlations between OCP measurements and lactose content, allowing its prediction in milk samples with an average error of 6 %. The results demonstrated that the MIP sensors exhibited high selectivity and sensitivity towards lactose, with improved responses compared to NIP sensors. The study concludes that polypyrrole-based MIPs provide a robust and effective approach for lactose detection and prediction in dairy products, offering a promising tool for quality control and ensuring consumer safety. • Polypyrrole-based imprinted polymer (MIP) sensor is used to analyse lactose. • The response of MIP is analysed and compared to non-imprinted polymer (NIP). • Polypyrrole-based MIPs can discriminate between milks with different lactose content. • Polypyrrole-based MIPs can predict lactose content in milk with good precision. • MIPs sensors are a promising tool for quality control and ensuring consumer safety.

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Publication Details

Journal
Microchemical Journal
Published
2025-07-30
DOI
https://doi.org/10.1016/j.microc.2025.114709
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Advanced characterization in molecularly imprinted Polypyrrole for potentiometric lactose sensing

C. Garcı́a, Marı́a Luz Rodrı́guez-Méndez, Fernando Martín, Clara Pérez‐Gonzàlez et al.
Microchemical Journal
Advanced Chemical Sensor Technologies
article

Advanced characterization in molecularly imprinted Polypyrrole for potentiometric lactose sensing

C. Garcı́a, Marı́a Luz Rodrı́guez-Méndez, Fernando Martín, Clara Pérez‐Gonzàlez, Celia García-Hernández
article en

Abstract

The motivation behind this study comes from the necessity to monitor lactose levels in milk for quality control and public health, as existing methods are often complex, time-consuming, and expensive. This research aims to develop a specific and sensitive potentiometric sensor for lactose detection using electropolymerised polypyrrole-based molecularly imprinted polymers (MIPs). MIP sensors were developed through chronoamperometric electropolymerisation of pyrrole in the presence of lactose, creating specific binding sites. Raman spectroscopy, Scanning Electron Microscopy (SEM), and Atomic Force Microscopy (AFM) were used to assess surface morphology confirming the presence of imprinted cavities and surface changes after lactose removal. The electrochemical performance of the sensors was evaluated by EIS spectroscopy demonstrating the influence of MIP cavities on the electron transfer of the sensor compared to non-imprinted polymer (NIP). Finally, open circuit potentials (OCP) in various lactose concentrations and real milk samples confirmed the high sensitivity and selectivity of the MIP sensors. Moreover, Principal Component Analysis (PCA), Partial Least Square Regression (PLS), and Support Vector Machine (SVM) models were satisfactorily employed to establish correlations between OCP measurements and lactose content, allowing its prediction in milk samples with an average error of 6 %. The results demonstrated that the MIP sensors exhibited high selectivity and sensitivity towards lactose, with improved responses compared to NIP sensors. The study concludes that polypyrrole-based MIPs provide a robust and effective approach for lactose detection and prediction in dairy products, offering a promising tool for quality control and ensuring consumer safety. • Polypyrrole-based imprinted polymer (MIP) sensor is used to analyse lactose. • The response of MIP is analysed and compared to non-imprinted polymer (NIP). • Polypyrrole-based MIPs can discriminate between milks with different lactose content. • Polypyrrole-based MIPs can predict lactose content in milk with good precision. • MIPs sensors are a promising tool for quality control and ensuring consumer safety.

Microchemical JournalVol. 216
Universidad de Valladolid (ES)
Ministerio de Ciencia, Innovación y Universidades, Universidad de Valladolid, Junta de Castilla y León, European Regional Development Fund
Openalex Percentile: Top 82%
Advanced Chemical Sensor Technologies
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