Self-Optimization of Continuous Flow Electrochemical Synthesis Using Fourier Transform Infrared Spectroscopy and Gas Chromatography.
Jie KeChuang GaoAna A Folgueiras-AmadorKatherine E JolleyOscar de FrutosCarlos MateosJuan A RincónRichard C D BrownMartyn PoliakoffMichael W GeorgePublished in: Applied spectroscopy (2021)
A continuous-flow electrochemical synthesis platform has been developed to enable self-optimization of reaction conditions of organic electrochemical reactions using attenuated total reflection Fourier transform infrared spectroscopy (ATR FT-IR) and gas chromatography (GC) as online real-time monitoring techniques. We have overcome the challenges in using ATR FT-IR as the downstream analytical methods imposed when a large amount of hydrogen gas is produced from the counter electrode by designing two types of gas-liquid separators (GLS) for analysis of the product mixture flowing from the electrochemical reactor. In particular, we report an integrated GLS with an ATR FT-IR probe at the reactor outlet to give a facile and low-cost solution to determining the concentrations of products in gas-liquid two-phase flow. This approach provides a reliable method for quantifying low-volatile analytes, which can be problematic to be monitored by GC. Two electrochemical reactions the methoxylation of 1-formylpyrrolidine and the oxidation of 3-bromobenzyl alcohol were investigated to demonstrate that the optimal conditions can be located within the pre-defined multi-dimensional reaction parameter spaces without intervention of the operator by using the stable noisy optimization by branch and FIT (SNOBFIT) algorithm.
Keyphrases
- gas chromatography
- ionic liquid
- mass spectrometry
- tandem mass spectrometry
- gold nanoparticles
- molecularly imprinted
- solid phase extraction
- high resolution mass spectrometry
- room temperature
- label free
- electron transfer
- liquid chromatography
- low cost
- gas chromatography mass spectrometry
- dna damage response
- wastewater treatment
- randomized controlled trial
- machine learning
- deep learning
- high resolution
- simultaneous determination
- healthcare
- carbon dioxide
- high throughput
- hydrogen peroxide
- reduced graphene oxide
- oxidative stress
- nitric oxide
- anaerobic digestion
- alcohol consumption
- solid state