2020
DOI: 10.1016/j.trac.2020.115943
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Nanomaterial-based molecularly imprinted polymers for pesticides detection: Recent trends and future prospects

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Cited by 122 publications
(36 citation statements)
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“…Особое внимание при подготовке обзора уделено новым научным идеям, реализованным в междисциплинарных исследованиях. В данной статье не рассматривались иммуноферментные методы анализа [10], аналитические системы на основе аптамеров [11] и молекулярно импринтированных полимеров [12].…”
Section: Enzymes and Their Forms Used In Detection Of Organophosphorus Compoundsunclassified
“…Особое внимание при подготовке обзора уделено новым научным идеям, реализованным в междисциплинарных исследованиях. В данной статье не рассматривались иммуноферментные методы анализа [10], аналитические системы на основе аптамеров [11] и молекулярно импринтированных полимеров [12].…”
Section: Enzymes and Their Forms Used In Detection Of Organophosphorus Compoundsunclassified
“…2020 [13] Applications of chitosan in molecularly and ion imprinted polymers A brief overview of recent applications of chitosan-based MIPs and MIP composites.…”
Section: Recent Advances On Iipmentioning
confidence: 99%
“…MIP-based optical sensors have been one of the most preferred technologies by researchers, which has greatly broadened the field of sensors for MIPs due to the simplicity of preparation, low achievable detection limits, and good visualization of expected effects. Nowadays, with the rapid development of nanomaterial types, materials such as quantum dots (Bhogal et al, 2020), magnetic nanoparticles (Chepyala, 2020), nanosilver/gold (Mahmoudpour et al, 2020), metal-organic frameworks (Svitkova and Palchetti, 2020), and graphene oxide (Pandey et al, 2020) exhibit their unique optical properties of narrow emission and resistance to fluorescence bursting, which have great potential for fluorescent sensors, probes and labels. For instance: Cao et al (2020) established a sensitive fluorescence sensor for the detection of octopamine (OA).…”
Section: Mip-based Optical Sensorsmentioning
confidence: 99%