Liquid Handler Optimization
Liquid Handler Optimization - Related Videos
08:24
Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
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Cited by 5 •
2008
The Ugi reaction has proved to be a convenient way to quickly create diverse libraries of compounds. It involves the reaction of an amine, an aldehyde, a carboxylic acid and an isonitrile typically in methanol at room temperature. In this video, we utilize a 48-slot Mettler-Toledo MiniBlock equipped with filtration tubes and a Mettler-Toledo MiniMapper automated liquid handler was used to deliver the reagents and solvent. The parameters of interest were the concentration, the solvent...
06:24
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Cited by 9 •
2017
This manuscript describes a generic approach for tailor-made design of microbial cultivation media. This is enabled by an iterative workflow combining Kriging-based experimental design and microbioreactor technology for sufficient cultivation throughput, which is supported by lab robotics to increase reliability and speed in liquid handling media preparation.
09:21
Efficiency of Liquid-liquid Extraction
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2023
Source: Kerry M. Dooley and Michael G. Benton, Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA Liquid-liquid extraction (LLE) is a separation technique used instead of distillation when either: (a) the relative volatilities of the compounds to be separated are very similar; (b) one or more of the mixture components are temperature sensitive even near ambient conditions; (c) the distillation would require a very low pressure or a very high distillate/feed...
13:38
Synthesis of Biocompatible Liquid Crystal Elastomer Foams as Cell Scaffolds for 3D Spatial Cell Cultures
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Cited by 9 •
2017
This study presents a methodology to prepare 3D, biodegradable, foam-like cell scaffolds based on biocompatible side-chain liquid crystal elastomers (LCEs). Confocal microscopy experiments show that foam-like LCEs allow for cell attachment, proliferation, and the spontaneous alignment of C2C12s myoblasts.
11:32
Vapor-liquid Equilibrium
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2023
Source: Michael G. Benton and Kerry M. Dooley, Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA Vapor-liquid equilibrium is paramount in engineering applications such as distillation, environmental modeling, and general process design. Understanding the interactions of components in a mixture is very important in designing, operating and analyzing such separators. The activity coefficient is an excellent tool for relating molecular interactions to mixture...
FAQs
Reliable transfer performance depends on matching aspiration and dispensing parameters to the liquid being handled and the intended volume. These settings work together with pipette-tip selection, labware geometry, and liquid-level detection to reduce transfer errors. Proper matching is especially important when workflows include liquids with different viscosities, because unsuitable settings can reduce accuracy, precision, or reproducibility.
Liquid volume and viscosity affect how the system should perform a transfer, while labware geometry influences how the pipette tip accesses and releases liquid. Liquid-level detection must also correspond to the handling conditions. Considering these variables together allows optimization to address the physical behavior of the sample rather than applying identical settings across every reagent or container.
Calibration establishes whether the automated system operates according to its intended transfer settings, while performance testing reveals the errors that remain during actual handling. Reviewing these results helps identify adjustments needed for more accurate and precise transfers. This verification step supports reproducible workflows and provides evidence that an automated protocol is ready for consistent experimental use.
Begin by considering the transfer volume, liquid viscosity, pipette-tip selection, labware geometry, and liquid-level detection requirements. Adjust aspiration and dispensing parameters to match those conditions, then use calibration and performance testing to evaluate transfer errors. Iteratively refining the settings creates a workflow that is more accurate, precise, efficient, and suitable for repeated experimentation.
Optimization is particularly valuable when a protocol moves from manual procedures to an automated platform or when experiments require repeated, high-throughput transfers. Reagent preparation, cell-based assays, and nucleic-acid processing can all depend on consistent handling. Establishing suitable settings before scaling helps conserve samples, improve reproducibility, and prevent transfer-related variation from affecting larger experimental runs.
In bioengineering, optimized handling supports reagent preparation, cell-based assays, nucleic-acid processing, and high-throughput experimentation. More consistent transfers improve reproducibility and conserve limited samples, while efficient automation enables protocols to scale. These improvements reduce avoidable handling variation, strengthen the quality of resulting data, and help laboratories perform larger experiments with greater operational consistency.