The recent outbreaks of Zika virus (ZIKV) infection represent ap ublic health challenge.R apid, cost-effective,a nd reliable diagnostic tools for ZIKV detection at the point of care (POC) are highly desirable,e specially for resource-limited nations.T oaddress the need, we have developed an integrated device to achieve sample-to-answer ZIKV detection. The device features innovative ball-based valves enabling the storage and sequential delivery of reagents for virus lysis and apaper-based unit for RNAenrichmentand purification. The paper unit is placed in ac ommercially available coffee mug that provides ac onstant temperature for reverse transcription loop-mediated isothermal amplification (RT-LAMP), followed by colorimetric detection by naked eye or ac ellphone camera. Using the device,w ed emonstrated the reproducible detection of ZIKV in human urine and saliva samples.Supportinginformation and the ORCID identification number(s) for the author(s) of this article can be found under: https://doi.

Early and accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses at the point-of-care is crucial for reducing disease transmission during the current pandemic and future flu seasons. To prepare for potential cocirculation of these two viruses, we report a valve-enabled, paper-based sample preparation device integrated with isothermal amplification for their simultaneous detection. The device incorporates (1) virus lysis and RNA enrichment, enabled by ball-based valves for sequential delivery of reagents with no pipet requirement, (2) reverse transcription loop-mediated isothermal amplification, carried out in a coffee mug, and (3) colorimetric detection. We have used the device for simultaneously detecting inactivated SARS-CoV-2 and influenza A H1N1 viruses in 50 min, with limits of detection at 2 and 6 genome equivalents, respectively. The device was further demonstrated to detect both viruses in environmental samples.

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Escherichia coli (E. coli) cells are present in fecal materials that can be the main source for disease‐causing agents in water. As a result, E. coli is recommended as a water quality indicator. We have developed an innovative platform to detect E. coli for monitoring water quality on-site by integrating paper-based sample preparation with nucleic acid isothermal amplification. The platform carries out bacterial lysis and DNA enrichment onto a paper pad through ball-based valves for fluid control, with no need of laboratory equipment, followed by loop-mediated isothermal amplification (LAMP) in a battery-operated coffee mug, and colorimetric detection. We have used the platform to detect E. coli in environmental water samples in about 1 h, with a limit of quantitation of 0.2 CFU/mL, and 3 copies per reaction. The platform was confirmed for detecting multiple E. coli strains, and for water samples of different salt concentrations. We validated the functions of the platform by analyzing recreational water samples collected near the Atlantic Ocean that contain different concentrations of salt and bacteria.

The recent outbreaks of Zika virus (ZIKV) infection represent ap ublic health challenge.R apid, cost-effective,a nd reliable diagnostic tools for ZIKV detection at the point of care (POC) are highly desirable,e specially for resource-limited nations.T oaddress the need, we have developed an integrated device to achieve sample-to-answer ZIKV detection. The device features innovative ball-based valves enabling the storage and sequential delivery of reagents for virus lysis and apaper-based unit for RNAenrichmentand purification. The paper unit is placed in ac ommercially available coffee mug that provides ac onstant temperature for reverse transcription loop-mediated isothermal amplification (RT-LAMP), followed by colorimetric detection by naked eye or ac ellphone camera. Using the device,w ed emonstrated the reproducible detection of ZIKV in human urine and saliva samples.Supportinginformation and the ORCID identification number(s) for the author(s) of this article can be found under: https://doi.