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Chemists create a DNA thermometer 20,000 times smaller than a human hair

Did you know the DNA molecules unfold when heated? Scientists at the University of Montreal do, and they used that knowledge to design a thermometer made of DNA. It's totally invisible to the naked eye.

Did you know that DNA molecules unfold when heated? Scientists at the University of Montreal do, and they used that knowledge to design a thermometer made of DNA. It’s totally invisible to the naked eye, though, so it can be a bit difficult to read.

Senior author of the paper “Programmable, quantitative, DNA Nanothermometers,” published in Nano Letters, Professor Alexis Vallée-Bélisle said, “Inspired by natural nanothermometers, which are typically 20,000x smaller than a human hair, we have created various DNA structures that can fold and unfold at specifically defined temperatures.”

DNA is relatively easy to program, according to the scientists behind the project. There are four different nucleotides that bind differently to each other: the bond between A and T is weak, while C and G’s is strong. David Gareau, first author of the study, explained that “using simple design rules we are able to create DNA structures that fold and unfold at a specifically desired temperature.”

A DNA-size thermometer means temperature can be measured at a nanoscale. Co-author Arnaud Desrosiers said, “By adding optical reporters to these DNA structures, we can therefore create 5 nm-wide thermometers that produce an easily detectable signal as a function of temperature.”  By measuring the movement one can tell the temperature at a nanoscale.

Nanotechnology is a rapidly growing field, and a thermometer tiny enough to function at that level would allow for new avenues of research. Professor Vallée-Bélisle pointed out, “For example, we know that the temperature inside the human body is maintained at 37° C, but we have no idea whether there is a large temperature variation at the nanoscale inside each individual cell.”

The implications for this technology stretch across many disciplines, into biology and beyond. The team is currently researching natural nanomotors to see if they overheat when functioning at high rates. Prof. Vallée-Bélisle predicts these working with electronics, saying “In the near future, we also envision that these DNA-based nanothermometers may be implemented in electronic-based devices in order to monitor local temperature variation at the nanoscale.”

San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.

Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.

Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.

The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.

AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.

The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.