Linear Scanning ATR-FTIR for Chemical Mapping and High-Throughput Studies of Pseudomonas sp. Biofilms in Microfluidic Channels.
Mohammad PoustiMaxime JolyPatrice RobergeMehran Abbaszadeh AmirdehiAndre Bégin-DroletJesse GreenerPublished in: Analytical chemistry (2018)
A fully automated linear scanning attenuated total reflection (ATR) accessory is presented for Fourier transform infrared (FTIR) spectroscopy. The approach is based on the accurate displacement of a multibounce ATR crystal relative to a stationary infrared beam. To ensure accurate positioning and to provide a second sample characterization mode, a custom-built microscope was integrated into the system and the computerized work flow. Custom software includes automated control and measurement routines with a straightforward user interface for selecting parameters and monitoring experimental progress. This cost-effective modular system can be implemented on any research-grade spectrometer with a standard sample compartment for new bioanalytical chemistry studies. The system was validated and optimized for use with microfluidic flow cells containing growing Pseudomonas sp. bacterial biofilms. The complementarity among the scan positioning accuracy, measurement spatial resolution, and the microchannel dimensions paves the way for parallel biological assays with real-time control over environmental parameters and minimal manual labor. By rotating the channel orientation relative to the beam path, the system could also be used for acquisition of linear biochemical maps and stitched microscope images along the channel length.
Keyphrases
- high throughput
- high resolution
- electron microscopy
- dna damage response
- single cell
- candida albicans
- induced apoptosis
- deep learning
- biofilm formation
- mass spectrometry
- case control
- computed tomography
- cell cycle arrest
- single molecule
- convolutional neural network
- optical coherence tomography
- machine learning
- cell death
- liquid chromatography
- clinical decision support
- endoplasmic reticulum stress
- plant growth
- magnetic resonance
- oxidative stress
- escherichia coli
- magnetic resonance imaging
- pseudomonas aeruginosa
- dna repair
- neural network