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This article describes the use ofembossing and “cut-and-stack”methods of assembly, to generate microfluidic devices from omniphobicpaper and demonstrates that fluid flowing through these devices behavessimilarly to fluid in an open-channel microfluidic device. The porosityof the paper to gases allows processes not possible in devices madeusing PDMS or other nonporous materials. Droplet generators and phaseseparators, for example, could be made by embossing “T”-shapedchannels on paper. Vertical stacking of embossed or cut layers ofomniphobic paper generated three-dimensional systems of microchannels.The gas permeability of the paper allowed fluid in the microchannelto contact and exchange with environmental or directed gases. An aqueousstream of water containing a pH indicator, as one demonstration, changedcolor upon exposure to air containing HCl or NH3gases. [ABSTRACT FROM AUTHOR]

Paper-based microfluidic devices have emerged as simple yet powerful platforms for performing low-cost analytical tests. This paper reports a microfluidic paper-based electrochemical biosensor array for multiplexed detection of physiologically relevant metabolic biomarkers. Different from existing paper-based electrochemical devices, our device includes an array of eight electrochemical sensors and utilizes a handheld custom-made electrochemical reader (potentiostat) for signal readout. The biosensor array can detect several analytes in a sample solution and produce multiple measurements for each analyte from a single run. Using the device, we demonstrate simultaneous detection of glucose, lactate and uric acid in urine, with analytical performance comparable to that of the existing commercial and paper-based platforms. The paper-based biosensor array and its electrochemical reader will enable the acquisition of high-density, statistically meaningful diagnostic information at the point of care in a rapid and cost-efficient way. [ABSTRACT FROM AUTHOR]

A correction to the article "A microfluidic paperbased electrochemical biosensor array for multiplexed detection of metabolic biomarkers" that was published in the previous issue is presented.