WorldThe robotic arm helps 'remove the vial' of the Covid-19 vaccine to...

The robotic arm helps ‘remove the vial’ of the Covid-19 vaccine to the last drop


According to the inventors at Chulalongkorn University (Thailand), the machine currently only works on multi-dose vials of AstraZeneca, with labels showing that each vial contains the equivalent of 10 to 11 doses of vaccine.

The Covid-19 vaccine dispenser increases the amount of AstraZene vaccine by 20% from each vial.

The team leader said: “The machine can increase the amount of vaccine from each vial by 20%: from 10 to 12 doses. That means if we have the standard amount of AstraZeneca vaccine to inject 1 million people, the machine will This could help increase the number of people vaccinated to 1.2 million.”

According to Juthamas, some healthcare workers use low dead space syringes (LDSS) that can aspirate up to 12 doses per vial to avoid waste. However, this requires manpower and a high level of skill.
“Doing that makes medical staff very tired, because they have to work every day for many months,” Juthamas said.

The robotic arm helps 'remove the vial' of the Covid-19 vaccine to the last drop - Photo 2

The machine includes many other materials such as syringes.

The team says it can produce 20 more AutoVacc machines within three to four months, but requires additional funding and government support to expand nationally.

According to Juthamas, this prototype machine costs 2.5 million baht (more than 1.7 billion), including other materials such as syringes.

They also plan to build similar machines for use with the Pfizer-BioNTech and Moderna vaccines.
Thailand has the Pandemic under control, but more deadly variants like Delta have caused the number of cases and deaths to skyrocket since April, putting pressure on the authorities to speed up vaccinations.

So far, only about 9% of the country’s population has been fully immunized because of lower-than-expected vaccine supplies. Thailand has recorded about 1.1 million Covid-19 infections, including 10,085 deaths.

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