Automated synthesis
Automated synthesis or automatic synthesis is a set of techniques that use robotic equipment to perform chemical synthesis using a robotic system run using software control. Automating processes allows for higher efficiency and product quality although automation technology can be cost-prohibitive and there are concerns regarding overdependence and job displacement. Chemical processes were automated throughout the 19th and 20th centuries, with major developments happening in the previous thirty years, as technology advanced. Tasks that are performed may include: synthesis in variety of different conditions, sample preparation, purification, and extractions. Applications of automated synthesis are found on research and industrial scales in a wide variety of fields including polymers, personal care, and radiosynthesis.
Process
An automated synthesis is very similar in procedure to performing a manual synthesis. The overseeing chemist decides on a target molecule then formulates the experimental plan, which is a sequential series of steps. Then, they collect the required equipment and execute the plan. The automated synthesis follows the same pathway, except that the computer devises and executes the experimental plan. However, human revision is usually still required to ensure the automated route is practical and there are no implicit steps or conditions missing from the proposed procedure.In organic synthesis, organic synthesis software is used to automate the process of identifying sequences of reactions or routes that can be used to synthesize organic compounds.
Benefits
Automation of synthesis has three main benefits: increased efficiency, quality, security, and safety, all resulting from decreased human involvement. As machines work faster than humans and are not prone to human error, throughput and reproducibility increases. Additionally, as humans spend less time in the lab exposure to dangerous chemicals is significantly decreased. This allows chemists additional time for theory and collaborative discussions.Additional benefits include: multitasking, performing tasks beyond the scope of human precision or ability, exhaustive analysis, etc.
Concerns
The primary concern of automated synthesis is job displacement. Other concerns are high initial investment and maintenance costs, privacy concerns, and an over-dependence on technology. There are also ethical concerns, regarding the use of artificial intelligence and robotics. See Ethics of artificial intelligence, Robot ethics, Machine ethics.Parts of procedures and techniques were automated throughout the 19th and 20th centuries, using simple circuit boards. The first fully automatic synthesis was a peptide synthesis by Robert Merrifield and John Stewart in 1966. Applications of artificial intelligence to organic synthesis also started in the 1960s with the Dendral Project, which helped organic chemists characterize and identify molecules using mass spectrometry. True computer-assisted organic synthesis software such as LHASA became feasible as artificial intelligence and machine learning developed in the 1980s. Important developments in automated radiosynthetic modules were also made in the 1980s.
In the late 1990s, the main challenge of automation was overcoming phase-separation issues and increasing system integration. At this time there were only specific systems that belonged to one of four designs: a flow reactor, a batch reactor connected by flow lines, one robot, two robots: one for synthesis and one for analysis, and special larger systems that were a combination of the aforementioned.
The 2000s and 2010s saw significant development in industrial automation of molecules as well as the emergence of general synthesis systems that could synthesise a wide variety of molecules on-demand, whose operation Melanie Trobe and Martin D. Burke compared to that of a 3D printer.
Applications
Automated synthesis systems find new applications with a development of new robotic platforms. Possible applications include: uncontrolled synthesis, time-dependent synthesis, radiosynthesis, synthesis in demanding conditions or whenever the same or similar workflow needs to be applied multiple times with the aim to: optimize reactions, synthesize many derivatives in small scale, perform reactions of iterative homologations or radiosynthesis.Automated synthesis workflows are needed both in academic research and a wide array of industrial R&D settings.
Iterative homologations
Automated iterative homologation enables stepwise construction of carbon chains through repeated one-carbon extensions of boronic esters. Two reactions adapted to automation are the Matteson homologation, which inserts a methylene unit via chloromethyllithium, and chiral carbenoid homologation, which uses lithiated benzoate esters. Both methods have been implemented on robotic platforms under low-temperature, inert conditions. Using these techniques, up to six consecutive C–C bond-forming homologations have been performed without manual intervention, representing the highest number reported in an automated synthesis. The approach has also been applied to the synthesis of intermediates of the natural product -kalkitoxin.Polymers
Parallel synthesis
Overall, automated synthesis has improved the efficiency for the parallel synthesis and combinatorial methods of polymers. These techniques aim to design new materials, in addition to studying the relationships of their structure and properties. However, while screening for polymers enables this investigation, it becomes increasingly demanding for researchers to create the libraries for these synthetic compositions. In addition, preparation requires a large number of repetitive reactions to be completed, leading to an immense burden of planning and labor. Using automated synthesis, this process can be refined, increasing the efficiency of the reaction and removing the impact of human error.Polycondensation
Polycondensation involves the formation of polymers through condensation reactions between different species, creating condensation polymers. With automated synthesis, General electric manufactured an approach for melt-polymerizations of BPA and diphenyl carbonate, using sodium hydroxide as the catalyst. Once the results were analyzed, it was shown that, by using an automated method of polymerization, the effect of varying the catalyst amount became more distinct and improved the reproducibility for the reaction. Furthermore, it demonstrated an increase within the homogeneity of the polymers in the microreactors.Free-radical polymerization
In addition to polycondensation, automated synthesis has been applied to the various methods of radical polymerization, such as ring-opening and polyolefins. This includes free-radical polymerization, such as the development of an automated process to synthesize and evaluate molecularly imprinted polymers. Through thermal initiation, around sixty polymers could be prepared in parallel and evaluated through their binding constants to the imprinted analytes. Furthermore, adding another approach to the repertoire, Long et al. demonstrated the abilities of robotic systems and their use with varying the monomer for the synthesis of poly and poly. After automatically precipitating, the products were characterized with standard analytics and added to the polymer library. Another example includes the method described by Symyx Technologies Inc. with the application of an ink-jet printer, delivering different ratios of styrene and acrylonitrile, which was used as the terminator.While these are examples of suspension polymerization, the first instance of automated synthesis for parallel emulsion was reported by Voorn et al. with five parallel reactors containing well-defined systems of styrene and vinyl acetate. After optimizing the vortex speed, the results between the methods of automated synthesis and classical stirring for emulsion polymerization were compared, which found that the products were comparable.