Exploring Deposition Techniques and Supramolecular Arrangement in Thin Films for Sensor Applications
Year: 2023
Type: article
Abstract: In recent decades, many research efforts have been dedicated to finding highly sensitive devices for fast and reliable identification and quantification of an expanding range of analytes. As a result, there has been an increased number of publications dedicated to this area and a consequent increase in the number of review papers on the subject. However, unlike most review articles, we chose to explore the impact of supramolecular arrangement (or deeper, when possible, approaching the molecular organization) and assembly variables on sensing performance. This review briefly discusses the methods used to determine the molecular organization of thin films. We also examine various deposition techniques, including Langmuir-Blodgett, Langmuir-Schaefer, Layer-by-Layer assembly, electrodeposition, and spray pyrolysis, describing mainly (but not limited to) the advances in the last five years in developing thin films for sensors, with a particular emphasis on how the supramolecular arrangement can influence the sensing properties of these films.
Source: Chemosensors
Institution: Universidade Estadual Paulista (Unesp)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,224
Awards: G1191467943, G1246576082, G1366903727, G2286822848, G2464429684, G259237378, G2621352752, G26566168, G3572101131, G3620143392, G368382657, G3791331416, G396067679, G4090523304, G4246447654, G4649021499, G4861409177, G5173659641, G5373775399, G5415994220, G5493083470, G5646236238, G5698584951, G6036763637, G606287840, G6317754685, Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis, G6438247056, G6735223550, G6778332260, G6939155419, G6978150641, G7585020001, G7764814645, G7797889540, G797070523, G8239459684, INCT 2014: on Organic Electronics, Membrane mimetic models applied in interaction studies, detection, and removal of emerging pollutants, G8570408778, G8733947178
OpenAlex ID: W4387364385