A Microfluidic Device for Automated High Throughput Detection of Ice Nucleation of Snomax®
| Autor: | Margaret L. House, Cari S. Dutcher, Priyatanu Roy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
010504 meteorology & atmospheric sciences Infrared lcsh:Mechanical engineering and machinery automated detection Microfluidics Snomax® Analytical chemistry 02 engineering and technology 01 natural sciences Article symbols.namesake microfluidic device ice nucleating particle lcsh:TJ1-1570 Electrical and Electronic Engineering Fourier transform infrared spectroscopy Spectroscopy polarized light high-throughput 0105 earth and related environmental sciences Mechanical Engineering deep neural network 021001 nanoscience & nanotechnology Fourier transform machine learning Control and Systems Engineering Ice nucleus symbols Particle 0210 nano-technology Intensity (heat transfer) |
| Zdroj: | Micromachines Micromachines, Vol 12, Iss 296, p 296 (2021) Volume 12 Issue 3 |
| ISSN: | 2072-666X |
| Popis: | Measurement of ice nucleation (IN) temperature of liquid solutions at sub-ambient temperatures has applications in atmospheric, water quality, food storage, protein crystallography and pharmaceutical sciences. Here we present details on the construction of a temperature-controlled microfluidic platform with multiple individually addressable temperature zones and on-chip temperature sensors for high-throughput IN studies in droplets. We developed, for the first time, automated droplet freezing detection methods in a microfluidic device, using a deep neural network (DNN) and a polarized optical method based on intensity thresholding to classify droplets without manual counting. This platform has potential applications in continuous monitoring of liquid samples consisting of aerosols to quantify their IN behavior, or in checking for contaminants in pure water. A case study of the two detection methods was performed using Snomax® (Snomax International, Englewood, CO, USA), an ideal ice nucleating particle (INP). Effects of aging and heat treatment of Snomax® were studied with Fourier transform infrared (FTIR) spectroscopy and a microfluidic platform to correlate secondary structure change of the IN protein in Snomax® to IN temperature. It was found that aging at room temperature had a mild impact on the ice nucleation ability but heat treatment at 95 °C had a more pronounced effect by reducing the ice nucleation onset temperature by more than 7 °C and flattening the overall frozen fraction curve. Results also demonstrated that our setup can generate droplets at a rate of about 1500/min and requires minimal human intervention for DNN classification. |
| Databáze: | OpenAIRE |
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