ArticleFoods (Basel, Switzerland)2022
A Molecularly Imprinted Polymer-Based Thermal Sensor for the Selective Detection of Melamine in Milk Samples.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 32 citations in OpenAlex.
- An Analysis of the Severity of Food Safety Hazards in EU Food Fraud Cases.Foods (Basel, Switzerland) · 2025Article
- Drug-Checking with Molecularly Imprinted Polymers: Addressing Xylazine-Contaminated Fentanyl.ACS sensors · 2025Article
- Emerging Biomimetic Sensor Technologies for the Detection of Pathogenic Bacteria: A Commercial Viability Study.ACS omega · 2024Review
- Bioanalytical sensors using the heat-transfer method HTM and related techniques.Technisches Messen : TM · 2023Article
- Preparation and Application Progress of Imprinted Polymers.Polymers · 2023Review
- Thermal Pyocyanin Sensor Based on Molecularly Imprinted Polymers for the Indirect Detection ofACS sensors · 2023Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
In recent years, melamine-sensing technologies have increasingly gained attention, mainly due to the misuse of the molecule as an adulterant in milk and other foods. Molecularly imprinted polymers (MIPs) are ideal candidates for the recognition of melamine in real-life samples. The prepared MIP particles were incorporated into a thermally conductive layer via micro-contact deposition and its response towards melamine was analyzed using the heat-transfer method (HTM). The sensor displayed an excellent selectivity when analyzing the thermal response to other chemicals commonly found in foods, and its applicability in food safety was demonstrated after evaluation in untreated milk samples, demonstrating a limit of detection of 6.02 μM. As the EU/US melamine legal limit in milk of 2.5 mg/kg falls within the linear range of the sensor, it can offer an innovative solution for routine screening of milk samples in order to detect adulteration with melamine. The results shown in this work thus demonstrate the great potential of a low-cost thermal platform for the detection of food adulteration in complex matrices.
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Registered trials
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