3D-printer and open-source electronics were used to construct a simple user-friendly interface for coupling open digital microfluidic chips with mass spectrometer. The platform has been applied to initiation and monitoring of glutathione oxidation in microliter-scale droplets. [Ref.]
Students from our lab demonstrated the possibility to adjust the level of ATP in a biocatalytic reaction using a feedback control system facilitated by a microcontroller module and program in C++. [Ref.]
Kefir is an effervescent dairy product gaining popularity all over the world. In a recent study - using gas chromatography and mass spectrometry in combination with solid-phase microextraction - we observed the dynamics of chemical composition of kefir. The production of volatile compounds in kefir is related to the metabolic activity of the microorganisms (in particular, yeast) which are present in this foodstuff. [Ref.]
We demonstrate a fully automated sample preparation system, which is coupled on-line with an ion-trap mass spectrometer. The device processes small samples, and sends the extract for fluorimetric and mass spectrometric analysis. The whole analysis process is guided by a custom-designed controller using open-source electronics. The results reveal time-resolved extraction profiles that are characteristic for every sample. See video. [Ref.]
Our group members have developed a simple robotic system capable of analyzing samples by mass spectrometry. The device identifies the analyst (by fingerprint) and the sample (by barcode), collects the sample from a drop-off area, performs simple processing (addition of a reagent), injects the sample to mass spectrometer, collects the spectra, and disposes off the sample. It communicates with the outside world by touch-screen and web interfaces. [Ref.]
We have disclosed a facile method for sampling and metabolic profiling of human sweat. Mini-sized probes are affixed onto skin absorbing the excreted metabolites. These probes are subsequently screened by means of mass spectrometry. The sampling time is 10 min and the analysis takes no more than 2 min. We think this method may soon find application in metabolic profiling of clinical samples. [Ref.]
Computer screen and amateur digital camera were used to obtain spatiotemporal profiles of non-linear chemical processes at different wavelengths. [Ref.] See also the highlight in Chemistry World magazine.
Universal electronic modules (e.g. Arduino, Raspberry Pi) find applications in automation of analytical chemistry procedures. They can be easily implemented by chemists who have no or little experience in electronics to construct miniature analytical devices. [Ref.]