Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
Liwaiwai Liwaiwai
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
    • Architecture
    • Design
    • Software
    • Hybrid Cloud
    • Data
  • About
  • Engineering
  • Technology

Stanford Engineers Have Developed A Genetic Microlab That Can Detect COVID-19 In Minutes

  • November 5, 2020
  • relay

Throughout the pandemic, infectious disease experts and frontline medical workers have asked for a faster, cheaper and more reliable COVID-19 test. Now, leveraging the so-called “lab on a chip” technology and the cutting-edge genetic editing technique known as CRISPR, researchers at Stanford have created a highly automated device that can identify the presence of the novel coronavirus in just a half-hour.

“The microlab is a microfluidic chip just half the size of a credit card containing a complex network of channels smaller than the width of a human hair,” said the study’s senior author, Juan G. Santiago, the Charles Lee Powell Foundation Professor of mechanical engineering at Stanford and an expert in microfluidics, a field devoted to controlling fluids and molecules at the microscale using chips.

The new COVID-19 test is detailed in a study published on Nov. 4 in the journal Proceedings of the National Academy of Sciences. “Our test can identify an active infection relatively quickly and cheaply. It’s also not reliant on antibodies like many tests, which only indicates if someone has had the disease, and not whether they are currently infected and therefore contagious,” explained Ashwin Ramachandran, a Stanford graduate student and the study’s first author.

The microlab test takes advantage of the fact that coronaviruses like SARS-COV-2, the virus that causes COVID-19, leaves behind tiny genetic fingerprints wherever they go in the form of strands of RNA, the genetic precursor of DNA. If the coronavirus’s RNA is present in a swab sample, the person from whom the sample was taken is infected.

To initiate a test, liquid from a nasal swab sample is dropped into the microlab, which uses electric fields to extract and purify any nucleic acids like RNA that it might contain. The purified RNA is then converted into DNA and then replicated many times over using a technique known as isothermal amplification.

Read More  Responsible Machine Learning Can Still Protect Intellectual Property – Here’s How

Next, the team used an enzyme called CRISPR-Cas12 – a sibling of the CRISPR-Cas9 enzyme associated with this year’s Nobel Prize in Chemistry – to determine if any of the amplified DNA came from the coronavirus.

If so, the activated enzyme triggers fluorescent probes that cause the sample to glow. Here also, electric fields play a crucial role by helping concentrate all of the important ingredients – the target DNA, the CRISPR enzyme and the fluorescent probes – together into a tiny space smaller than the width of a human hair, dramatically increasing the chances they will interact.

“Our chip is unique in that it uses electric fields to both purify nucleic acids from the sample and to speed up chemical reactions that let us know they are present,” Santiago said.

The team created its device on a shoestring budget of about $5,000. For now, the DNA amplification step must be performed outside of the chip, but Santiago expects that within months his lab will integrate all the steps into a single chip.

Several human-scale diagnostic tests use similar gene amplification and enzyme techniques, but they are slower and more expensive than the new test, which provides results in just 30 minutes. Other tests can require more manual steps and can take several hours.

The researchers say their approach is not specific to COVID-19 and could be adapted to detect the presence of other harmful microbes, such as E. coli in food or water samples, or tuberculosis and other diseases in the blood.

“If we want to look for a different disease, we simply design the appropriate nucleic acid sequence on a computer and send it over email to a commercial maker of synthetic RNA. They mail back a vial with the molecule that completely reconfigures our assay for a new disease,” Ramachandran said.

The researchers are working with the Ford Motor Company to further integrate the steps and develop their prototype into a marketable product.

Read More  ABB And Ericsson Pave The Way For Digital Transformation Of Industries

Santiago is a member of Stanford Bio-X and a faculty fellow in ChEM-H. Ramachandran is a Bio-X graduate student fellow. Additional Stanford contributors include doctoral scholar Diego A. Huyke, postdoctoral scholar Eesha Sharma, research scientist Malaya K. Sahoo, research scientist ChunHong Huang of the Department of Pathology, Professor of Pathology Niaz Banaei, Professor of Pathology Benjamin A. Pinsky.

This research received financial support from the Stanford Chemistry Engineering & Medicine for Human Health (ChEM-H) program and from Ford Motor Company.

To read all stories about Stanford science, subscribe to the biweekly Stanford Science Digest.

 

This article is republished from Stanford News by Andrew Myers.

relay

Related Topics
  • COVID-19
  • Genetic Microlab
  • Stanford Research
You May Also Like
View Post
  • People
  • Technology

DBS Singapore: The Best Boasting To Be The Best For So Long, Humbled By Hubris

  • March 31, 2023
View Post
  • Artificial Intelligence
  • Software
  • Technology

Bard And ChatGPT — A Head To Head Comparison

  • March 31, 2023
View Post
  • Design
  • Engineering
  • Practices

Why Your Open Source Project Needs A Content Strategy

  • March 31, 2023
View Post
  • Data
  • Design
  • Engineering

Effective Strategies To Closing The Data-Value Gap

  • March 30, 2023
View Post
  • Artificial Intelligence
  • Technology

Unlocking The Secrets Of ChatGPT: Tips And Tricks For Optimizing Your AI Prompts

  • March 29, 2023
View Post
  • Artificial Intelligence
  • Technology

Try Bard And Share Your Feedback

  • March 29, 2023
View Post
  • Artificial Intelligence
  • Data
  • Data Science
  • Machine Learning
  • Technology

Google Data Cloud & AI Summit : In Less Than 12 Hours From Now

  • March 29, 2023
View Post
  • Artificial Intelligence
  • Technology

Talking Cars: The Role Of Conversational AI In Shaping The Future Of Automobiles

  • March 28, 2023

Leave a Reply

Your email address will not be published. Required fields are marked *

Stay Connected!
LATEST
  • 1
    DBS Singapore: The Best Boasting To Be The Best For So Long, Humbled By Hubris
    • March 31, 2023
  • 2
    Bard And ChatGPT — A Head To Head Comparison
    • March 31, 2023
  • 3
    Modernize Your Apps And Accelerate Business Growth With AI
    • March 31, 2023
  • 4
    Why Your Open Source Project Needs A Content Strategy
    • March 31, 2023
  • 5
    From Raw Data To Actionable Insights: The Power Of Data Aggregation
    • March 30, 2023
  • 6
    Effective Strategies To Closing The Data-Value Gap
    • March 30, 2023
  • 7
    Unlocking The Secrets Of ChatGPT: Tips And Tricks For Optimizing Your AI Prompts
    • March 29, 2023
  • 8
    Try Bard And Share Your Feedback
    • March 29, 2023
  • 9
    Google Data Cloud & AI Summit : In Less Than 12 Hours From Now
    • March 29, 2023
  • 10
    Talking Cars: The Role Of Conversational AI In Shaping The Future Of Automobiles
    • March 28, 2023

about
About
Hello World!

We are liwaiwai.com. Created by programmers for programmers.

Our site aims to provide materials, guides, programming how-tos, and resources relating to artificial intelligence, machine learning and the likes.

We would like to hear from you.

If you have any questions, enquiries or would like to sponsor content, kindly reach out to us at:

[email protected]

Live long & prosper!
Most Popular
  • 1
    Introducing GPT-4 in Azure OpenAI Service
    • March 21, 2023
  • 2
    Document AI Introduces Powerful New Custom Document Classifier To Automate Document Processing
    • March 28, 2023
  • 3
    How AI Can Improve Digital Security
    • March 27, 2023
  • 4
    ChatGPT 4.0 Finally Gets A Joke
    • March 27, 2023
  • 5
    Mr. Cooper Is Improving The Home-buyer Experience With AI And ML
    • March 24, 2023
  • /
  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Engineering
  • About

Input your search keywords and press Enter.