Point-of-Care Immunoassay Based on a Multipixel Dual-Channel Pressure Sensor Array with Visual Sensing Capability of Full-Color Switching and Reliable Electrical Signals
Abstract:The point-of-care (POC) method with affordability and
portability
for the sensitive detection of biological substances is an emerging
topic in rapid disease screening and personalized medicine. In this
work, we demonstrated a diverse responsive platform based on a dual-channel
pressure sensor (DCPS). The DCPS had a multilayer flexible architecture
consisting of a photonic hydrogel with chromatic transitions and a
piezoresistive pressure sensor as the electrical data transmission
unit, both of which had the pro… Show more
“…Point-of-care testing (POCT) provides immediate and reliable diagnostic results out of the laboratory and plays an important role in individual disease monitoring and health care. − In this context, we designed and fabricated a smartphone device based on FBCIA, enabling automatic bacteria counting and result output, for potential point-of-care detection of protein biomarkers. The device mainly consists of four components incorporated into a three-dimensional (3D) printed case (Figure a): (i) a wet-etched glass slide consisting of 10 microwells to contain detection reagent; (ii) an light-emitting diode (LED) light source emitting light of 488 nm; (iii) a microscopic system consisting of an objective lens, an optical bandpass filter that transmits light over 525 nm, and an ocular lens; and (iv) a smartphone (iPhone SE) equipped with a homemade application (Figure b) for image capture and processing.…”
Ultrasensitive quantification of protein biomarkers has significant implications in disease diagnosis. Herein, we report a fluorescent bacteria counting immunoassay (FBCIA) strategy for protein biomarker detection based on a cascade signal conversion and amplification strategy including the copper metal−organic framework (Cu-MOF)-mediated Cu(I)-catalyzed azide−alkyne cycloaddition (CuAAC) for fluorescent bacteria immobilization that converted the concentration of target protein to countable bacterial number and the further self-proliferation of bacteria to amplify the detectable bacterial number. The developed lowbackground and enzyme-free cascade methodology achieved highly sensitive detection of carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) with detection limits down to 0.8 pg/mL and 64.5 fg/mL, respectively. On top of that, we also developed a smartphone device for visualizing individual bacteria and point-of-care counting of the resulting bacteria for the detection of clinical samples. The good consistency between FBCIA and clinical enzyme-linked immunosorbent assay (ELISA) validated the high reliability and promising potential of our developed platform in clinical applications.
“…Point-of-care testing (POCT) provides immediate and reliable diagnostic results out of the laboratory and plays an important role in individual disease monitoring and health care. − In this context, we designed and fabricated a smartphone device based on FBCIA, enabling automatic bacteria counting and result output, for potential point-of-care detection of protein biomarkers. The device mainly consists of four components incorporated into a three-dimensional (3D) printed case (Figure a): (i) a wet-etched glass slide consisting of 10 microwells to contain detection reagent; (ii) an light-emitting diode (LED) light source emitting light of 488 nm; (iii) a microscopic system consisting of an objective lens, an optical bandpass filter that transmits light over 525 nm, and an ocular lens; and (iv) a smartphone (iPhone SE) equipped with a homemade application (Figure b) for image capture and processing.…”
Ultrasensitive quantification of protein biomarkers has significant implications in disease diagnosis. Herein, we report a fluorescent bacteria counting immunoassay (FBCIA) strategy for protein biomarker detection based on a cascade signal conversion and amplification strategy including the copper metal−organic framework (Cu-MOF)-mediated Cu(I)-catalyzed azide−alkyne cycloaddition (CuAAC) for fluorescent bacteria immobilization that converted the concentration of target protein to countable bacterial number and the further self-proliferation of bacteria to amplify the detectable bacterial number. The developed lowbackground and enzyme-free cascade methodology achieved highly sensitive detection of carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) with detection limits down to 0.8 pg/mL and 64.5 fg/mL, respectively. On top of that, we also developed a smartphone device for visualizing individual bacteria and point-of-care counting of the resulting bacteria for the detection of clinical samples. The good consistency between FBCIA and clinical enzyme-linked immunosorbent assay (ELISA) validated the high reliability and promising potential of our developed platform in clinical applications.
“…Additionally, there is a growing demand for portable devices in many fields, such as rapid screening of infectious diseases, environmental monitoring, and food safety inspection. [159][160][161][162][163][164] However, MOFbased PEC and ECL biosensors are often not portable enough to meet the needs of point of care testing. To meet this unique need, combining MOF-based PEC and ECL biosensors with microfluidic technology would be an effective solution.…”
As a newly emerging class of molecular crystal materials, metal-organic frameworks (MOFs) have been extensively used in a variety of fields including catalysis, separation, energy storage, and biosensors, by virtue...
“…The detection results are tabulated in Table 2. Obviously, all t exp values were below 2.78 (t crit[0.05,4] = 2.78), [29][30][31][32][33][34] thereby revealing the strong reliability of the Ru-CN-SPCEbased electrochemical immunoassay.…”
Herein a versatile electrochemical immunoassay was designed based on atomically Ru dispersed nitrogen-doped carbon (Ru-CN) modified disposable screen-printed carbon electrode (SPCE) for sensitive and specific screening of low-abundance influenza A...
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