Design and applications of a neural networks assisted portable liquid surface tensiometer

التفاصيل البيبلوغرافية
العنوان: Design and applications of a neural networks assisted portable liquid surface tensiometer
المؤلفون: Tomas Drevinskas1, J?rat? Balevi?i?t?1, Kristina Bimbirait?-Survilien?1, Gediminas D?da1, Mantas Stankevi?ius1, Nicola Tiso1, R?ta Mickien?1, Domantas Armonavi?ius1, Donatas Levi?auskas1, 2, Vilma Ka?konien?1, Ona Raga?inskien?3, Saulius Grigi?kis4, Enrica Donati5, Massimo Zacchini5, Audrius Maru?ka1
المصدر: Chemija 32 (2021): 73–82.
info:cnr-pdr/source/autori:Tomas Drevinskas1, J?rat? Balevi?i?t?1, Kristina Bimbirait?-Survilien?1, Gediminas D?da1, Mantas Stankevi?ius1, Nicola Tiso1, R?ta Mickien?1, Domantas Armonavi?ius1, Donatas Levi?auskas1, 2, Vilma Ka?konien?1, Ona Raga?inskien?3, Saulius Grigi?kis4, Enrica Donati5, Massimo Zacchini5, Audrius Maru?ka1*/titolo:Design and applications of a neural networks assisted portable liquid surface tensiometer./doi:/rivista:Chemija/anno:2021/pagina_da:73/pagina_a:82/intervallo_pagine:73–82/volume:32
بيانات النشر: Lituania, 2021.
سنة النشر: 2021
مصطلحات موضوعية: instrumentation, portable, environmental analysis, bioanalysis, neural net, liquid surface tension
الوصف: In this paper, a portable instrument for surface tension measurements, characterization and applications is described. The instrumentation is operated wirelessly, and samples can be measured in situ. The instrument has changeable different size probes; therefore, it is possible to measure samples from 1 ml up to 10 ml. The response of the measured retraction force and the concentrations of measured surfactant is complex. Therefore, two calibration methods were proposed: (i) the conditional calibration using polynomial and logarithmic fitting and (ii) the neural network trained model prediction of the surfactant concentration in samples. Calibrating the instrument, the neural network trained model showed a superior coefficient of determination (0.999), comparing it to the conditional calibration using polynomial (0.992) and logarithmic (0.991) fit equations.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=cnr_________::480072c703f770c1d8fedf6060c311fe
http://www.cnr.it/prodotto/i/458408
Rights: RESTRICTED
رقم الانضمام: edsair.cnr...........480072c703f770c1d8fedf6060c311fe
قاعدة البيانات: OpenAIRE