Plug-Volume-Modulated Dilution Generator for Flask-Free Chemistry

Hydrogel-enzyme micropatch array format for chemical mapping: A proof of concept

Conventional sensing methods report on concentrations of analytes in a single point of sampled medium or provide an average value. However, distributions of substances on surfaces of sampled objects often exhibit intricate inhomogeneities. In order to obtain snapshots of the chemical distributions on surfaces, we have developed enzyme-loaded hydrogel arrays (5 × 5 and 10 × 10). The acrylic 10 × 10 array base contains 100 holes, which are filled with agarose hydrogel containing assay enzymes and substrates. Such arrays can be exposed to the analyzed surfaces to collect minute amounts of analytes. Following a brief incubation, they are subsequently visualized in a custom-built array reader device. The reader incorporates a light-emitting diode-based light source, miniature camera, and Raspberry Pi single-board computer. Two Python programs capture and analyze the images of the array to extract pixel saturation values corresponding to individual hydrogel micropatches. The method has been thoroughly optimized for mapping of glucose and lactic acid. The optimized parameters were: contact time, agarose concentration, substrate concentration, enzyme concentration ratio, and enzyme concentration. The array biosensor was further tested by mapping glucose distribution in fruit/vegetable cross-sections (apple, guava, and cucumber) and lactic acid distribution in cheese. We think that this new hydrogel-based chemical mapping method can find applications in studies related to food science, plant physiology, clinical chemistry, and forensics; wherever the distributions of analytes on the tested surfaces need to be assessed.

Kinetic Profiling of Homogeneous and Heterogeneous Biocatalysts in Continuous Flow by Online Mass Spectrometry

Enzyme kinetics is normally assessed by performing individual kinetic measurements using batch-type reactors (test tubes, microtiter plates), in which enzymes are mixed with different substrates. Some drawbacks of conventional methods are the large amounts of experimental materials, long analysis times, and limitations of spectrophotometry. Therefore, we have developed a method for facile determination of enzyme kinetics using online flow-based mass spectrometry. A concentration ramp of substrate or product was created by dynamically adjusting flow rates of pumps delivering stock solution of substrate and diluent. Precise kinetic measurements were performed by reaction product quantification and initial rate calculation. In the presence of ascending substrate concentrations, the rate of a target enzyme (penicillinase)-catalyzed hydrolysis was varied. By measuring the reaction product continuously, Michaelis constants (K_M) could be calculated. The enzyme kinetic measurements for hydrolysis of penicillins were conducted based on this simple, rapid, and low sample consumption online flow device. In the homogeneous reaction, the K_M values for amoxicillin, ampicillin, penicillin G, and penicillin V were 254.9 ± 14.5, 29.2 ± 0.3, 2.6 ± 0.1, and 5.4 ± 0.1 μM, respectively. In the heterogeneous reaction, the K_M values for amoxicillin, ampicillin, penicillin G, and penicillin V were 408.9 ± 75.1, 114.4 ± 8.0, 21.8 ± 0.7, and 83.3 ± 4.8 μM, respectively. Apart from enzyme assay, the showcased method for the generation of temporal concentration ramps can be utilized to perform rapid quantity calibrations for mass spectrometric analyses.

Elevating Chemistry Research with a Modern Electronics Toolkit

With the rapid development of high technology, chemical science is not as it used to be a century ago. Many chemists acquire and utilize skills that are well beyond the traditional definition of chemistry. The digital age has transformed chemistry laboratories. One aspect of this transformation is the progressing implementation of electronics and computer science in chemistry research. In the past decade, numerous chemistry-oriented studies have benefited from the implementation of electronic modules, including microcontroller boards (MCBs), single-board computers (SBCs), professional grade control and data acquisition systems, as well as field-programmable gate arrays (FPGAs). In particular, MCBs and SBCs provide good value for money. The application areas for electronic modules in chemistry research include construction of simple detection systems based on spectrophotometry and spectrofluorometry principles, customizing laboratory devices for automation of common laboratory practices, control of reaction systems (batch- and flow-based), extraction systems, chromatographic and electrophoretic systems, microfluidic systems (classical and nonclassical), custom-built polymerase chain reaction devices, gas-phase analyte detection systems, chemical robots and drones, construction of FPGA-based imaging systems, and the Internet-of-Chemical-Things. The technology is easy to handle, and many chemists have managed to train themselves in its implementation. The only major obstacle in its implementation is probably one's imagination.

Automation of mass spectrometric detection of analytes and related workflows: A review

The developments in mass spectrometry (MS) in the past few decades reveal the power and versatility of this technology. MS methods are utilized in routine analyses as well as research activities involving a broad range of analytes (elements and molecules) and countless matrices. However, manual MS analysis is gradually becoming a thing of the past. In this article, the available MS automation strategies are critically evaluated. Automation of analytical workflows culminating with MS detection encompasses involvement of automated operations in any of the steps related to sample handling/treatment before MS detection, sample introduction, MS data acquisition, and MS data processing. Automated MS workflows help to overcome the intrinsic limitations of MS methodology regarding reproducibility, throughput, and the expertise required to operate MS instruments. Such workflows often comprise automated off-line and on-line steps such as sampling, extraction, derivatization, and separation. The most common instrumental tools include autosamplers, multi-axis robots, flow injection systems, and lab-on-a-chip. Prototyping customized automated MS systems is a way to introduce non-standard automated features to MS workflows. The review highlights the enabling role of automated MS procedures in various sectors of academic research and industry. Examples include applications of automated MS workflows in bioscience, environmental studies, and exploration of the outer space.

Telechemistry: monitoring chemical reactionsviathe cloud using the Particle Photon Wi-Fi module

A popular electronic module and the associated Internet-of-Things tools provide chemists with more control over long-term experimental procedures and enhance lab work safety.

Interactive control of purpose built analytical instruments with Forth on microcontrollers - A tutorial

The use of the computer language Forth for controlling experimental analytical instruments built in laboratories is described. Forth runs on a microcontroller and as it is an interpreted language the user can directly communicate with it by employing a terminal emulator program running on a personal computer. Thus the user can test attached hardware, such as pumps, valves, electronic pressure regulators, detectors and chemical sensors, directly from the keyboard. This overcomes the lack of interactivity, a significant shortcoming, of the computer languages C and C++, the default on such microcontroller platforms as the Arduinos, which have become very popular in recent years for laboratory applications. Common examples of purpose built experimental analytical laboratory instruments are sequential injection analysis systems, microfluidic devices, or automated sample extraction systems. Application examples from our laboratory are given, namely the regulation of mass-flow controllers for gases, the sequencing of an experimental capillary electrophoresis instrument and the acquisition of a signal from an alcohol sensor.