Sensitive Protein Detection and Quantification in Paper-Based Microfluidics for the Point of Care

Anderson, Caitlin; Shah, Kamal G.; Yager, Paul

doi:10.1016/bs.mie.2017.01.018

Cited by 15 publications

(18 citation statements)

References 68 publications

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“…82 Finally, a few highly sensitive protein-based methods for submicroscopic malaria detection have also been reviewed. 76,82–85 These tests are low-cost, easy-to-use, and do not require electricity to run, making them suitable for use at the POC. While several of the above tests may be appropriate for submicroscopic detection in low-resource settings, their diagnostic performance for malaria in pregnancy has yet to be fully validated.…”

Section: Diagnostics For Maternal Healthmentioning

confidence: 99%

Point-of-care diagnostics to improve maternal and neonatal health in low-resource settings

et al. 2017

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Each day, approximately 830 women and 7,400 newborns die from complications during pregnancy and childbirth. Improving maternal and neonatal health will require bringing rapid diagnosis and treatment to the point of care in low-resource settings. However, to date there are few diagnostic tools available that can be used at the point of care to detect the leading causes of maternal and neonatal mortality in low-resource settings. Here we review both commercially available diagnostics and technologies that are currently in development to detect the leading causes of maternal and neonatal mortality, highlighting key gaps in development where innovative design could increase access to technology and enable rapid diagnosis at the bedside.

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Section: Diagnostics For Maternal Healthmentioning

confidence: 99%

Point-of-care diagnostics to improve maternal and neonatal health in low-resource settings

et al. 2017

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“…Most of the properties of the materials used in today’s lateral flow tests, such as glass fiber meshes, plastic foils, or nitrocellulose membranes, respectively, can be replaced by paper with relatively little effort. Capillary transport in paper can be fine-tuned in many ways [ 3 , 18 , 19 ], protein binding can be achieved to high capacities [ 20 ], and the use of paper eliminates the need for (typical plastic) backings, as with commercially available lateral flow tests (LFTs) [ 15 , 17 , 21 , 22 ]. We believe that paper-only lateral flow tests have the potential to perform similarly to alternatives, such as nitrocellulose membranes and assembled lateral flow assays, and, at the same time, account for a much higher degree of sustainability.…”

Section: Introductionmentioning

confidence: 99%

Reducing Unspecific Protein Adsorption in Microfluidic Papers Using Fiber-Attached Polymer Hydrogels

Stockert

Luongo

Langhans

et al. 2021

Sensors

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Microfluidic paper combines pump-free water transport at low cost with a high degree of sustainability, as well as good availability of the paper-forming cellulosic material, thus making it an attractive candidate for point-of-care (POC) analytics and diagnostics. Although a number of interesting demonstrators for such paper devices have been reported to date, a number of challenges still exist, which limit a successful transfer into marketable applications. A strong limitation in this respect is the (unspecific) adsorption of protein analytes to the paper fibers during the lateral flow assay. This interaction may significantly reduce the amount of analyte that reaches the detection zone of the microfluidic paper-based analytical device (µPAD), thereby reducing its overall sensitivity. Here, we introduce a novel approach on reducing the nonspecific adsorption of proteins to lab-made paper sheets for the use in µPADs. To this, cotton linter fibers in lab-formed additive-free paper sheets are modified with a surrounding thin hydrogel layer generated from photo-crosslinked, benzophenone functionalized copolymers based on poly-(oligo-ethylene glycol methacrylate) (POEGMA) and poly-dimethyl acrylamide (PDMAA). This, as we show in tests similar to lateral flow assays, significantly reduces unspecific binding of model proteins. Furthermore, by evaporating the transport fluid during the microfluidic run at the end of the paper strip through local heating, model proteins can almost quantitatively be accumulated in that zone. The possibility of complete, almost quantitative protein transport in a µPAD opens up new opportunities to significantly improve the signal-to-noise (S/N) ratio of paper-based lateral flow assays.

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“…Similarly, a number of lateral flow-based tests have been developed to detect biomarkers associated with cervical cancer [17]- [19]. Flatbed scanners are often used to capture and quantitatively analyze such tests, but these systems are not portable and require a computational interface [20]. Alternatively, lower-cost cell phone-based readers have been developed [21], [22], but it can be difficult to control parameters such as image gain for quantitative test interpretation, especially with rapid updates to cell phone operating systems that may affect image capture [23], [24].…”

Section: Introductionmentioning

confidence: 99%

Development of Low-Cost Point-of-Care Technologies for Cervical Cancer Prevention Based on a Single-Board Computer

Parra

Carranza

Coole

et al. 2020

IEEE J. Transl. Eng. Health Med.

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Cervical cancer disproportionally affects women in low-and middle-income countries, in part due to the difficulty of implementing existing cervical cancer screening and diagnostic technologies in lowresource settings. Single-board computers offer a low-cost alternative to provide computational support for automated point-of-care technologies. Here we demonstrate two new devices for cervical cancer prevention that use a single-board computer: 1) a low-cost imaging system for real-time detection of cervical precancer and 2) a low-cost reader for real-time interpretation of lateral flow-based molecular tests to detect cervical cancer biomarkers. Using a Raspberry Pi computer to provide real-time image collection and processing, we developed: 1) a low-cost, portable high-resolution microendoscope system (PiHRME); and 2) a low-cost automatic lateral flow test reader (PiReader). The PiHRME acquired high-resolution (4.4 µm) images of the cervix at half the cost of existing high-resolution microendoscope systems; image analysis algorithms based on convolutional neural networks were implemented to provide real-time image interpretation. The PiReader acquired and analyzed images of a point-of-care human papillomavirus (HPV) serology test with the same contrast and accuracy as a standard flatbed high-resolution scanner coupled to a laptop computer, for less than one-fifth of the cost. Raspberry Pi single-board computers provide a low-cost means to implement point-ofcare tools with automatic image analysis. This work demonstrates the promise of single-board computers to develop and translate low-cost, point-of-care technologies for use in low-resource settings. INDEX TERMS Cervical cancer prevention, low-cost medical technology, point-of-care, Raspberry Pi.

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Sensitive Protein Detection and Quantification in Paper-Based Microfluidics for the Point of Care

Cited by 15 publications

References 68 publications

Point-of-care diagnostics to improve maternal and neonatal health in low-resource settings

Point-of-care diagnostics to improve maternal and neonatal health in low-resource settings

Reducing Unspecific Protein Adsorption in Microfluidic Papers Using Fiber-Attached Polymer Hydrogels

Development of Low-Cost Point-of-Care Technologies for Cervical Cancer Prevention Based on a Single-Board Computer

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