Peptide Probe for Multiwalled Carbon Nanotubes: Electrophoretic Assessment of the Binding Interface and Evaluation of Surface Functionalization

Supervised learning model predicts protein adsorption to carbon nanotubes

Engineered nanoparticles are advantageous for biotechnology applications including biomolecular sensing and delivery. However, testing compatibility and function of nanotechnologies in biological systems requires a heuristic approach, where unpredictable protein corona formation prevents their effective implementation. We develop a random forest classifier trained with mass spectrometry data to identify proteins that adsorb to nanoparticles based solely on the protein sequence (78% accuracy, 70% precision). We model proteins that populate the corona of a single-walled carbon nanotube (SWCNT)–based nanosensor and study the relationship between the protein’s amino acid–based properties and binding capacity. Protein features associated with increased likelihood of SWCNT binding include high content of solvent-exposed glycines and nonsecondary structure–associated amino acids. To evaluate its predictive power, we apply the classifier to identify proteins with high binding affinity to SWCNTs, with experimental validation. The developed classifier provides a step toward undertaking the otherwise intractable problem of predicting protein-nanoparticle interactions.

Recent advances in carbon nanotubes-based biocatalysts and their applications

Enzymes have been incorporated into a wide variety of fields and industries as they catalyze many biochemical and chemical reactions. The immobilization of enzymes on carbon nanotubes (CNTs) for generating nano biocatalysts with high stability and reusability is gaining great attention among researchers. Functionalized CNTs act as excellent support for effective enzyme immobilization. Depending on the application, the enzymes can be tailored using the various surface functionalization techniques on the CNTs to extricate the desirable characteristics. Aiming at the preparation of efficient, stable, and recyclable nanobiocatalysts, this review provides an overview of the methods developed to immobilize the various enzymes. Various applications of carbon nanotube-based biocatalysts in water purification, bioremediation, biosensors, and biofuel cells have been comprehensively reviewed.

Enhancing Enzyme Immobilization on Carbon Nanotubes via Metal-Organic Frameworks for Large-Substrate Biocatalysis

Biocatalysis of large-sized substrates finds wide applications. Immobilizing the involved enzymes on solid supports improves biocatalysis yet faces challenges such as enzyme structural perturbation, leaching, and low cost-efficiencies, depending on immobilization strategies/matrices. Carbon nanotubes (CNTs) are attractive matrices but challenged by enzyme leaching (physical adsorption) or perturbation (covalent linking). Zeolitic imidazolate frameworks (ZIFs) overcome these issues. However, our recent study [ J. Am. Chem. Soc., 2018, 140, 16032-16036] showed reduced cost-efficiency as enzymes trapped below the ZIF surfaces cannot participate in biocatalysis; the enzyme-ZIF composites are also unstable under acidic conditions. In this work, we demonstrate the feasibility of using ZIFs to immobilize enzymes on CNT surfaces on two model enzymes, T4 lysozyme and amylase, both of which showed negligible leaching and retained catalytic activity under neutral and acidic conditions. To better understand the behavior of enzymes on CNTs and CNT-ZIF, we characterized enzyme orientation on both matrices using site-directed spin-labeling (SDSL)-electron paramagnetic resonance (EPR), which is immune to the complexities caused by CNT and ZIF background signals and enzyme-matrix interactions. Our structural investigations showed enhanced enzyme exposure to the solvent compared to enzymes in ZIFs alone; orientation of enzymes in matrices itself is directly related to substrate accessibility and, therefore, essential for understanding and improving catalytic efficiency. To the best of our knowledge, this is the first time ZIFs and one-pot synthesis are employed to anchor large-substrate enzymes on CNT surfaces for biocatalysis. This is also the first report of enzyme orientation on the CNT surface and upon trapping in CNT-ZIF composites. Our results are essential for guiding the rational design of CNT-ZIF combinations to improve enzyme stabilization, loading capacity, and catalytic efficiency.