Abstract:Background:
Nucleic acid (NA)-based diagnostics enable a rapid response to various diseases, but current techniques often require multiple labor-intensive steps, which is a major obstacle to successful translation to a clinical setting.
Methods:
We report on a surface-engineered single-chamber device for NA extraction and
in situ
amplification without sample transfer. Our system has two reaction sites: a NA extraction chamber whose surface is patterned … Show more
“…Therefore, the abovementioned shortages regarding reagent preparation or multiplexity are not fundamentally changed. The utilization of microfluidic chips is an effective solution to realize multiplexed and highly automated detection of multiple pathogens or multiple fragments of SARS-CoV-2 [20][21][22][23][24][25][26][27]. In these microfluidic systems, the distribution of samples into separated reaction chambers pre-spotted with primers is an essential prerequisite.…”
Respiratory tract infections such as the ongoing coronavirus disease 2019 (COVID-19) has seriously threatened public health in the last decades. The experience of fighting against the epidemic highlights the importance of user-friendly and accessible point-of-care systems for nucleic acid (NA) detection. To realize low-cost and multiplexed point-of-care NA detection, a swing-assisted multiplexed analyzer for point-of-care respiratory tract infection testing (SMART) was proposed to detect multiple respiratory tract pathogens using visible loop-mediated isothermal amplification. By performing hand-swing movements to generate acceleration force to distribute samples into reaction chambers, the design of the SMART system was greatly simplified. By using different format of chips and integrating into a suitcase, this system can be applied to on-site multitarget and multi-sample testing. Three targets including the N and Orf genes of SARS-CoV-2 and the internal control were simultaneously analyzed (limit of detection: 2000 copies/mL for raw sample; 200 copies/mL for extracted sample). Twenty-three clinical samples with eight types of respiratory bacteria and twelve COVID-19 clinical samples were successfully detected. These results indicate that the SMART system has the potential to be further developed as a versatile tool in the diagnosis of respiratory tract infection.
“…Therefore, the abovementioned shortages regarding reagent preparation or multiplexity are not fundamentally changed. The utilization of microfluidic chips is an effective solution to realize multiplexed and highly automated detection of multiple pathogens or multiple fragments of SARS-CoV-2 [20][21][22][23][24][25][26][27]. In these microfluidic systems, the distribution of samples into separated reaction chambers pre-spotted with primers is an essential prerequisite.…”
Respiratory tract infections such as the ongoing coronavirus disease 2019 (COVID-19) has seriously threatened public health in the last decades. The experience of fighting against the epidemic highlights the importance of user-friendly and accessible point-of-care systems for nucleic acid (NA) detection. To realize low-cost and multiplexed point-of-care NA detection, a swing-assisted multiplexed analyzer for point-of-care respiratory tract infection testing (SMART) was proposed to detect multiple respiratory tract pathogens using visible loop-mediated isothermal amplification. By performing hand-swing movements to generate acceleration force to distribute samples into reaction chambers, the design of the SMART system was greatly simplified. By using different format of chips and integrating into a suitcase, this system can be applied to on-site multitarget and multi-sample testing. Three targets including the N and Orf genes of SARS-CoV-2 and the internal control were simultaneously analyzed (limit of detection: 2000 copies/mL for raw sample; 200 copies/mL for extracted sample). Twenty-three clinical samples with eight types of respiratory bacteria and twelve COVID-19 clinical samples were successfully detected. These results indicate that the SMART system has the potential to be further developed as a versatile tool in the diagnosis of respiratory tract infection.
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