""Smart” Materials for Colorimetric Detection of Pathogenic Agents

The advancement in 3D printing has led to the rapid growth of 4D printing technology. Adding time, as the fourth dimension, this technology ushered the potential of a massive evolution in fields of biomedical technologies, space applications, deployable structures, manufacturing industries, and so forth. This technology performs ingenious design, using smart materials to create advanced forms of the 3-D printed specimen. Improvements in Computer-aided design, additive manufacturing process, and material science engineering have ultimately favored the growth of 4-D printing innovation and revealed an effective method to gather complex 3-D structures. Contrast to all these developments, novel material is still a challenging sector. However, this short review illustrates the basic of 4D printing, summarizes the stimuli responsive materials properties, which have prominent role in the field of 4D technology. In addition, the practical applications are depicted and the potential prospect of this technology is put forward.

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Smart Materials: A Primer

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i3/01302 ◽

2017 ◽

Vol 7 (3) ◽

pp. 43-44 ◽

Cited By ~ 2

Author(s):

Matthew N. O. Sadiku ◽

◽

Mahamadou Tembely ◽

Sarhan M. Musa ◽

◽

...

Keyword(s):

Smart Materials

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Directed Evolution of P450 Fatty Acid Decarboxylases via High-Throughput Screening Towards Improved Catalytic Activity

10.26434/chemrxiv.9791162 ◽

2019 ◽

Author(s):

Huifang Xu ◽

Weinan Liang ◽

Linlin Ning ◽

Yuanyuan Jiang ◽

Wenxia Yang ◽

...

Keyword(s):

Catalytic Activity ◽

Fatty Acid ◽

Directed Evolution ◽

High Throughput ◽

High Throughput Screening ◽

Colorimetric Detection ◽

Screening Method ◽

Random Mutagenesis ◽

Direct Production ◽

Consumption Activity

P450 fatty acid decarboxylases (FADCs) have recently been attracting considerable attention owing to their one-step direct production of industrially important 1-alkenes from biologically abundant feedstock free fatty acids under mild conditions. However, attempts to improve the catalytic activity of FADCs have met with little success. Protein engineering has been limited to selected residues and small mutant libraries due to lack of an effective high-throughput screening (HTS) method. Here, we devise a catalase-deficient Escherichia coli host strain and report an HTS approach based on colorimetric detection of H2O2-consumption activity of FADCs. Directed evolution enabled by this method has led to effective identification for the first time of improved FADC variants for medium-chain 1-alkene production from both DNA shuffling and random mutagenesis libraries. Advantageously, this screening method can be extended to other enzymes that stoichiometrically utilize H2O2 as co-substrate.

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