S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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FrameQR®-code-embedded Paper Sensors: One-click Screening Solution to Analyze Colorimetric Output and On-chip Test and Patient Information [PDF]

Sumaira Nishat, Muhammad Zeeshan Asaf, and Fazli Rabbi Awan

(Received September 7, 2021; Accepted October 28, 2021)

Keywords: FrameQR® code, microfluidic paper-based analytical devices (microPADs), point of care (POC), telehealth, alkaline phosphatase, ALP

Microfluidic paper-based analytical devices (microPADs) have significantly strengthened telehealth services by providing on-site disease biomarker screening, with the additional provision of colorimetric output quantification by image analysis applications. The analyte quantification results can be stored or shared in a centralized database accessible to healthcare professionals for disease analysis and e-prescription. However, to automatically share on-device test and patient details to a distant centralized database, it is necessary to upgrade the current microPAD format. To enhance the readability of microPADs, we have proposed laser-printed FrameQR®-code-coupled microPADs (FrameQR®-PADs) to add on-chip information. The canvas area of FrameQR®-PADs was used to design microchannels, while channel barriers were made hydrophobic using wax printing. This modified sensor was used for screening of alkaline phosphatase (ALP) from human serum samples, wherein the colorimetric output was scanned using a smartphone to compute the pixel intensity of images using ImageJ. By designing an integrated smartphone application to scan both on-chip and colorimetric information, FrameQR®-PADs can overcome the limitation of manual test labeling associated with traditionally designed microPADs and support the use of proposed assays in telehealth settings by adding the feature of online storage of patient and test details at a centralized location accessible to healthcare professionals.

Corresponding author: Fazli Rabbi Awan




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