Meet passenger's individual testing needs. <3.5 hours to first results and 60 mins thereafter. a short time to wait before arrivals / departures.
With an accuracy of 99.99%, It can handle 2,016 tests per day and thus can effectively keep the virus from entering and spreading through.
One-click to run Covid-19 tests on automatic robotic arm that streamlines the workflow and solve the risk of human errors. Empower your lab to get ahead and stay ahead.
National Taiwan University College of Medicine has published, on well-known scientific journals, Nature Biotechnology, an article about QVS-96, a fully automated detection system developed by TCI GENE, a subsidiary of TCI Co., Ltd., be deemed as effective to prevent the pandemic.
QVS-96S has obtained medical device certification in Taiwan and the Declaration of Conformity for the CE compliance, and has been registered with U.S. FDA.
By speeding up the nucleic acid extraction and reagent dispensing processes with robot arms, QVS-96S, the fully automated detection integration system allows a turnaround time of qPCR 10 times faster than the original testing process.
With the testing capacity equivalent to that of 20 testing institutions, QVS-96S is able to handle up to 2,016 specimens per day, effectively solving the risk of human errors and lack of labor.
|Maximum numbers of tests per run||96 tests including controls|
|Time to rest results (up to 96 tests)||<3.5 hours|
|Subsequent batches(96 tests)||Every 60 minutes thereafter|
|Maximum throughput||2,016 tests|
|Power Requirements||200-240 VAC, 3 phase, 30 A +/- 10%, 5 KVA|
|Frequency||50/60 Hz +/- 5%|
|Ambient Room Temperature||15℃ to 30℃|
|Relative Humidity||30% to 80% (no condensation)|
|Air Pressure||0.7Mpa(7.0 Kg/cm²)|
|Indoor||No Sunlight / UV light|
|Instrument Dimensions||W4198*D1386*H2215 mm|
|Instrument Weight||2100 Kg|
Get results fast with short turnaround times and maximize performance. Economize manpower and material resource.
Run almost the entire process on automatic robotic arm. Reduce the problems caused by manpower, and ensure the reliability of analysis data