TY  - JOUR
KW  - Bacteria detection
KW  -  Colorimetric biosensor
KW  -  Hyaluronidase
KW  -  Smartphone
KW  -  YOLOv5
JF  - Biosensors and Bioelectronics
PB  - Elsevier
A1  - Cui, Rongwei
A1  - Tang, Huijing
A1  - Huang, Qing
A1  - Ye, Tingsong
A1  - Chen, Jiyang
A1  - Huang, Yinshen
A1  - Hou, Chongchao
A1  - Wang, Sihua
A1  - Ramadan, Sami
A1  - Li, Bing
A1  - Xu, Yunsheng
A1  - Xu, Lizhou
A1  - Li, Danyang
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
VL  - 259
N2  - Accurate and effective detection is essential to against bacterial infection and contamination. Novel biosensors, which detect bacterial bioproducts and convert them into measurable signals, are attracting attention. We developed an artificial intelligence (AI)-assisted smartphone-based colorimetric biosensor for the visualized, rapid, sensitive detection of pathogenic bacteria by measuring the bacteria secreted hyaluronidase (HAase). The biosensor consists of the chlorophenol red-?-D-galactopyranoside (CPRG)-loaded hyaluronic acid (HA) hydrogel as the bioreactor and the ?-galactosidase (?-gal)-loaded agar hydrogel as the signal generator. The HAase degrades the bioreactor and subsequently determines the release of CPRG, which could further react with ?-gal to generate signal colors. The self-developed YOLOv5 algorithm was utilized to analyze the signal colors acquired by smartphone. The biosensor can provide a report within 60 min with an ultra-low limit of detection (LoD) of 10 CFU/mL and differentiate between gram-positive (G+) and gram-negative (G-) bacteria. The proposed biosensor was successfully applied in various areas, especially the evaluation of infections in clinical samples with 100% sensitivity. We believe the designed biosensor has the potential to represent a new paradigm of "ASSURED" bacterial detection, applicable for broad biomedical uses.
UR  - http://dx.doi.org/10.1016/j.bios.2024.116369
ID  - discovery10196300
TI  - AI-assisted smartphone-based colorimetric biosensor for visualized, rapid and sensitive detection of pathogenic bacteria
Y1  - 2024/09//
AV  - restricted
ER  -