Literature DB >> 26738081

High-sensitive and high-efficient biochemical analysis method using a bionic electronic eye in combination with a smartphone-based colorimetric reader system.

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Abstract

Bionic electronic eye (Bionic e-Eye), a developed smartphone-based colorimetric reader system, consists of smartphone or pad (iPhone 4s or iPad 3) as detection instrument and portable accessory as illumination provider, integrating with a wide-angle lens, a piece of lowest-power electro luminescent and a custom-made dark hood. A 96-well microtiter plate (MTP) was positioned on the electro luminescent and Bionic e-Eye captures the detection images by the back camera of smartphone. Being similar to human visual system, the hue, saturation and value (HSV, also called hex cone model) color model was employed in image processing algorithm of Bionic e-Eye. Optimized system dimension was determined by the system steadiness experiment of different photograph distances. Moreover, the commercially available BCA protein assay and CCK8 cell number assay were carried out to evaluate this Bionic e-Eye. Analytical performance of Bionic e-Eye had the better precision, higher sensitivity than microtiter plate reader (MTPR) and previous smartphone-based colorimetric reader for both two assays. Also, Bionic e-Eye using optical image detection had simultaneous and synchronous working mode, while MPTR using machine moving detection had asynchronous working mode in high throughput detection. Therefore, Bionic e-Eye will be an ideal point-of-care (POC) colorimetric detection device in the field of clinical application, industrial quality control, environment monitoring, and food assessment.

Entities:  

Mesh:

Year:  2015        PMID: 26738081     DOI: 10.1109/EMBC.2015.7320181

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  An Efficient Power Harvesting Mobile Phone-Based Electrochemical Biosensor for Point-of-Care Health Monitoring.

Authors:  Alexander C Sun; Chengyang Yao; A G Venkatesh; Drew A Hall
Journal:  Sens Actuators B Chem       Date:  2016-05-06       Impact factor: 7.460

2.  An Improved Automated High-Throughput Efficient Microplate Reader for Rapid Colorimetric Biosensing.

Authors:  Jinhu Yang; Yue Wu; Hao Wang; Wenjian Yang; Zhongyuan Xu; Dong Liu; Hui-Jiuan Chen; Diming Zhang
Journal:  Biosensors (Basel)       Date:  2022-04-28

3.  Smartphone-based surface plasmon resonance sensing platform for rapid detection of bacteria.

Authors:  Junlin Wen; Yufan Zhu; Jianbo Liu; Daigui He
Journal:  RSC Adv       Date:  2022-04-29       Impact factor: 4.036

4.  Development of a Detection Algorithm for Use with Reflectance-Based, Real-Time Chemical Sensing.

Authors:  Anthony P Malanoski; Brandy J Johnson; Jeffrey S Erickson; David A Stenger
Journal:  Sensors (Basel)       Date:  2016-11-16       Impact factor: 3.576

5.  Synergistically enhanced colorimetric molecular detection using smart cup: a case for instrument-free HPV-associated cancer screening.

Authors:  Kun Yin; Vikram Pandian; Karteek Kadimisetty; Carlos Ruiz; Kumarasen Cooper; Jianxin You; Changchun Liu
Journal:  Theranostics       Date:  2019-04-13       Impact factor: 11.556

6.  Smartphone-Based Device for Colorimetric Detection of MicroRNA Biomarkers Using Nanoparticle-Based Assay.

Authors:  Tushar Krishnan; Hsin-Neng Wang; Tuan Vo-Dinh
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

7.  An Immunocolorimetric Sensing System for Highly Sensitive and High-Throughput Detection of BNP with Carbon-Gold Nanocomposites Amplification.

Authors:  Xin Liu; Ying Gan; Fengheng Li; Yong Qiu; Yuxiang Pan; Hao Wan; Ping Wang
Journal:  Biosensors (Basel)       Date:  2022-08-09

8.  Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination.

Authors:  Moonsoo Ra; Mannan Saeed Muhammad; Chiawei Lim; Sehui Han; Chansung Jung; Whoi-Yul Kim
Journal:  IEEE J Transl Eng Health Med       Date:  2017-12-15       Impact factor: 3.316

Review 9.  Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.

Authors:  Reuven Rasooly; Hugh Alan Bruck; Joshua Balsam; Ben Prickril; Miguel Ossandon; Avraham Rasooly
Journal:  Diagnostics (Basel)       Date:  2016-05-17
  9 in total

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