Nanotechnology Now

Our NanoNews Digest Sponsors
Heifer International



Home > Press > Advance in programmable synthetic materials: Reading sequence of metal atoms in MOFs allows encoding of multiple chemical functions

Rods of multivariate MOFs (left) can be programmed with different metal atoms (colored balls) to do a series of chemical tasks, such as controlled drug release, or to encode information like the ones and zeros in a digital computer.

CREDIT
UC Berkeley image by Omar Yaghi and Zhe Ji
Rods of multivariate MOFs (left) can be programmed with different metal atoms (colored balls) to do a series of chemical tasks, such as controlled drug release, or to encode information like the ones and zeros in a digital computer. CREDIT UC Berkeley image by Omar Yaghi and Zhe Ji

Abstract:
Artificial molecules could one day form the information unit of a new type of computer or be the basis for programmable substances. The information would be encoded in the spatial arrangement of the individual atoms - similar to how the sequence of base pairs determines the information content of DNA, or sequences of zeros and ones form the memory of computers.

Advance in programmable synthetic materials: Reading sequence of metal atoms in MOFs allows encoding of multiple chemical functions

Berkeley, CA | Posted on August 11th, 2020

Researchers at the University of California, Berkeley, and Ruhr-Universität Bochum (RUB) have taken a step towards this vision. They showed that atom probe tomography can be used to read a complex spatial arrangement of metal ions in multivariate metal-organic frameworks.

Metal-organic frameworks (MOFs) are crystalline porous networks of multi-metal nodes linked together by organic units to form a well-defined structure. To encode information using a sequence of metals, it is essential to be first able to read the metal arrangement. However, reading the arrangement was extremely challenging. Recently, the interest in characterizing metal sequences is growing because of the extensive information such multivariate structures would be able to offer.

Fundamentally, there was no method to read the metal sequence in MOFs. In the current study, the research team has successfully done so by using atom probe tomography (APT), in which the Bochum-based materials scientist Tong Li is an expert. The researchers chose MOF-74, made by the Yaghi group in 2005, as an object of interest. They designed the MOFs with mixed combinations of cobalt, cadmium, lead, and manganese, and then decrypted their spatial structure using APT.

Li, professor and head of the Atomic-Scale Characterisation research group at the Institute for Materials at RUB, describes the method together with Dr. Zhe Ji and Professor Omar Yaghi from UC Berkeley in the journal Science, published online on August 7, 2020.

Just as sophisticated as biology

In the future, MOFs could form the basis of programmable chemical molecules: for instance, an MOF could be programmed to introduce an active pharmaceutical ingredient into the body to target infected cells and then break down the active ingredient into harmless substances once it is no longer needed. Or MOFs could be programmed to release different drugs at different times.

"This is very powerful, because you are basically coding the behavior of molecules leaving the pores," Yaghi said.

They could also be used to capture CO2 and, at the same time, convert the CO2 into a useful raw material for the chemical industry.

"In the long term, such structures with programmed atomic sequences can completely change our way of thinking about material synthesis," write the authors. "The synthetic world could reach a whole new level of precision and sophistication that has previously been reserved for biology."

###

The work was supported by the Center of Excellence for Nanomaterials and Clean Energy Applications at King Abdulaziz City for Science and Technology.

####

For more information, please click here

Contacts:
Robert Sanders

510-915-3097

@UCBerkeley

Copyright © University of California, Berkeley

If you have a comment, please Contact us.

Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.

Bookmark:
Delicious Digg Newsvine Google Yahoo Reddit Magnoliacom Furl Facebook

Related News Press

News and information

Optical switching at record speeds opens door for ultrafast, light-based electronics and computers: March 24th, 2023

Robot caterpillar demonstrates new approach to locomotion for soft robotics March 24th, 2023

Semiconductor lattice marries electrons and magnetic moments March 24th, 2023

Light meets deep learning: computing fast enough for next-gen AI March 24th, 2023

Chemistry

Recent progress of carbon-based non-noble metal single-atom catalysts for energy conversion electrocatalysis March 3rd, 2023

Scientists push the boundaries of manipulating light at the submicroscopic level March 3rd, 2023

Researchers create a new 3D extra-large pore zeolite that opens a new path to the decontamination of water and gas: A team of scientists with the participation of the CSIC develops an extra-large pore silica zeolite from a silicate chain January 20th, 2023

Dual-site collaboration boosts electrochemical nitrogen reduction on Ru-S-C single-atom catalyst January 6th, 2023

Synthetic Biology

Bioinformatics tool accurately tracks synthetic: DNA Computer scientists show benefits of bioinformatics with PlasmidHawk February 26th, 2021

Synthetic biology reinvents development:The research team have used synthetic biology to develop a new type of genetic design that can reproduce some of the key processes that enable creating structures in natural systems, from termite nests to the development of embryos February 8th, 2021

Machine learning takes on synthetic biology: algorithms can bioengineer cells for you: Berkeley Lab scientists develop a tool that could drastically speed up the ability to design new biological systems September 25th, 2020

Machine learning reveals recipe for building artificial proteins July 24th, 2020

Discoveries

New experiment translates quantum information between technologies in an important step for the quantum internet March 24th, 2023

Graphene grows – and we can see it March 24th, 2023

HKUMed invents a novel two-dimensional (2D) ultrasound-responsive antibacterial nano-sheets to effectively address bone tissue infection March 24th, 2023

A universal HCl-assistant powder-to-powder strategy for preparing lead-free perovskites March 24th, 2023

Announcements

Robot caterpillar demonstrates new approach to locomotion for soft robotics March 24th, 2023

Semiconductor lattice marries electrons and magnetic moments March 24th, 2023

Light meets deep learning: computing fast enough for next-gen AI March 24th, 2023

Bilayer PET/PVDF substrate-reinforced solid polymer electrolyte improves solid-state lithium metal battery performance March 24th, 2023

Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters

HKUMed invents a novel two-dimensional (2D) ultrasound-responsive antibacterial nano-sheets to effectively address bone tissue infection March 24th, 2023

A universal HCl-assistant powder-to-powder strategy for preparing lead-free perovskites March 24th, 2023

Optical switching at record speeds opens door for ultrafast, light-based electronics and computers: March 24th, 2023

Robot caterpillar demonstrates new approach to locomotion for soft robotics March 24th, 2023

Grants/Sponsored Research/Awards/Scholarships/Gifts/Contests/Honors/Records

Optical switching at record speeds opens door for ultrafast, light-based electronics and computers: March 24th, 2023

Semiconductor lattice marries electrons and magnetic moments March 24th, 2023

Stanford researchers develop a new way to identify bacteria in fluids: An innovative adaptation of the technology in an old inkjet printer plus AI-assisted imaging leads to a faster, cheaper way to spot bacteria in blood, wastewater, and more March 3rd, 2023

UCF researcher receives Samsung International Global Research Outreach Award: The award from the multinational electronics corporation will fund the development of infrared night vision and thermal sensing camera technology for cell phones and consumer electronics January 27th, 2023

NanoNews-Digest
The latest news from around the world, FREE




  Premium Products
NanoNews-Custom
Only the news you want to read!
 Learn More
NanoStrategies
Full-service, expert consulting
 Learn More











ASP
Nanotechnology Now Featured Books




NNN

The Hunger Project