Infrared Thermography as a High-Throughput Tool in Catalysis Research

Loskyll, Jonas; Stoewe, Klaus; Maier, Wilhelm F.

doi:10.1021/co200168s

Cited by 37 publications

(30 citation statements)

References 36 publications

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“…also high-throughput screening studies with IR thermography [85]) to distinguish and identify low and highly active catalyst regions in the reactor. The temperature variation (difference images) corresponding to one complete CO oxidation oscillation at an average catalyst temperature of 121°C (just above the onset of oscillatory CO conversion), 132°C, and 147°C (full CO conversion region at the outlet of the reactor) is shown in Fig.…”

Section: Identification Of Catalytically Active Zones In the Fixed-bementioning

confidence: 99%

Operando spatially and time-resolved X-ray absorption spectroscopy and infrared thermography during oscillatory CO oxidation

Gänzler

Casapu

Boubnov

et al. 2015

Journal of Catalysis

117

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Section: Identification Of Catalytically Active Zones In the Fixed-bementioning

confidence: 99%

Operando spatially and time-resolved X-ray absorption spectroscopy and infrared thermography during oscillatory CO oxidation

Gänzler

Casapu

Boubnov

et al. 2015

Journal of Catalysis

117

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“…[3][4][5][6][7][8][9] Materials discovery is now increasingly been carried out using high throughput synthesis and characterization methods so that novel, useful areas of materials property space can be identified. [10][11][12][13][14][15][16][17][18][19] While high throughput experimental techniques can dramatically accelerate new materials discovery, it is essential that complementary computational and informatics techniques are also are also be used. These tools allow the efficient extraction of useful information from the large data sets generated by high throughput materials experiments.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Prediction of Bacterial Attachment to Polymers

Epa

Hook

Chang

et al. 2013

Adv Funct Materials

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Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, 'no touch' surgical procedures, and development of materials with inherent low pathogen attachment.The search for new materials is increasingly being carried out by high throughput methods.Efficient methods for extracting knowledge from these large data sets are essential. We used data from a large polymer microarray exposed to three clinical pathogens to derive robust and predictive machine-learning models of pathogen attachment. The models could predict pathogen attachment for the polymer library quantitatively. The models also successfully 22222222224222 predicted pathogen attachment for a second-generation library, and identified polymer surface chemistries that enhance or diminish pathogen attachment.

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“…For example, while the reduction chemistry of libraries containing heterogeneous catalysts has been successfully demonstrated on a 96-well scale in parallel, product analysis remains a signi cant bottleneck. Either accelerated chromatographic methods are needed for product detection, or chemometric approaches are needed to assign signatures within heterogeneous samples using combinations of techniques such as infrared thermography, X-ray spectroscopy, or uorescence to determine product formation 38 .…”

Section: Discussionmentioning

confidence: 99%

An Automated Workflow to Screen Alkene Reductases Using High-throughput Thin Layer Chromatography

Garabedian

Meadows

Mingardon

et al. 2020

Preprint

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Background: Synthetic biology efforts often require high-throughput screening tools for enzyme engineering campaigns. While innovations in chromatographic and mass spectrometry-based techniques provide relevant structural information associated with enzyme activity, these approaches can require cost-intensive instrumentation and technical expertise not broadly available. Moreover, complex workflows and analysis time can significantly impact throughput. To this end, we develop an automated, 96-well screening platform based on thin layer chromatography (TLC) and use it to monitor in vitro activity of a geranylgeranyl reductase isolated from Sulfolobus acidocaldarius (SaGGR). Results: Unreduced SaGGR products are oxidized to their corresponding epoxide and applied to thin layer silica plates by acoustic printing. These derivatives are chromatographically separated based on the number of epoxides they possess and are covalently ligated to a chromophore, allowing detection of enzyme variants with unique product distributions or enhanced reductase activity. Herein, we employ this workflow to examine farnesol reduction using a codon-saturation mutagenesis library at site Leu377 of SaGGR. We show this TLC-based screen can distinguish between 4-fold differences in enzyme activity for select mutants and validated those results by GC-MS. Conclusions: With appropriate quantitation methods, this workflow can be used to screen polyprenyl reductase activity and can be readily adapted to analyze broader catalyst libraries whose products are amenable to TLC analysis.

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Infrared Thermography as a High-Throughput Tool in Catalysis Research

Cited by 37 publications

References 36 publications

Operando spatially and time-resolved X-ray absorption spectroscopy and infrared thermography during oscillatory CO oxidation

Operando spatially and time-resolved X-ray absorption spectroscopy and infrared thermography during oscillatory CO oxidation

Modelling and Prediction of Bacterial Attachment to Polymers

An Automated Workflow to Screen Alkene Reductases Using High-throughput Thin Layer Chromatography

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