Jinho Bae

Dr. Jinho Bae

Department of Ocean System Engineering, Jeju National University, Jeju 690-756, Korea
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2016 in Carbon
Verified
Journal Article
Closed access
SAShawkat Ali
Shawkat Ali
AHArshad Hassan
Arshad Hassan
GHGul Hassan
Gul Hassan
Jinho BaeJinho Bae
Jinho Bae
CLChong Hyun Lee
Chong Hyun Lee

1 November 2021 in Energy Reports
Verified
Journal Article
Open access
Rayyan Ali ShaukatRayyan Ali Shaukat
Rayyan Ali Shaukat
QSQazi Muhammad Saqib
Qazi Muhammad Saqib
Muhammad Umair KhanMuhammad Umair Khan
Muhammad Umair Khan
MCMahesh Y. Chougale
Mahesh Y. Chougale
Jinho BaeJinho Bae
Jinho Bae

23 November 2020 in ACS Applied Electronic Materials
Verified
Journal Article
Closed access
QSQazi Muhammad Saqib
Qazi Muhammad Saqib
Rayyan Ali ShaukatRayyan Ali Shaukat
Rayyan Ali Shaukat
Muhammad Umair KhanMuhammad Umair Khan
Muhammad Umair Khan
MCMahesh Chougale
Mahesh Chougale
Jinho BaeJinho Bae
Jinho Bae

1 October 2021 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
Rayyan Ali ShaukatRayyan Ali Shaukat
Rayyan Ali Shaukat
Muhammad Umair KhanMuhammad Umair Khan
Muhammad Umair Khan
QSQazi Muhammad Saqib
Qazi Muhammad Saqib
MCMahesh Y. Chougale
Mahesh Y. Chougale
JKJungmin Kim
Jungmin Kim
Jinho BaeJinho Bae
Jinho Bae

1 April 2018 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
GHGul Hassan
Gul Hassan
Jinho BaeJinho Bae
Jinho Bae
AHArshad Hassan
Arshad Hassan
SAShawkat Ali
Shawkat Ali
CLChong Hyun Lee
Chong Hyun Lee
YCYohan Choi
Yohan Choi

12 April 2018 in Scientific Reports
Verified
Journal Article
Open access
PDF file
SAShawkat Ali
Shawkat Ali
AHArshad Hassan
Arshad Hassan
GHGul Hassan
Gul Hassan
CEChang-Ho Eun
Chang-Ho Eun
Jinho BaeJinho Bae
Jinho Bae
IKIn-Jung Kim
In-Jung Kim
A novel disposable all-printed electronic biosensor is proposed for a fast detection and classification of bacteria. This biosensor is applied to classify three types of popular pathogens: Salmonella typhimurium, and the Escherichia coli strains JM109 and DH5-α. The proposed sensor consists of inter-digital silver electrodes fabricated through an inkjet material printer and silver nanowires uniformly decorated on the electrodes through the electrohydrodynamic technique on a polyamide based polyethylene terephthalate substrate. The best sensitivity of the proposed sensor is achieved at 200 µm teeth spaces of the inter-digital electrodes along the density of the silver nanowires at 30 × 103/mm2. The biosensor operates on ±2.5 V and gives the impedance value against each bacteria type in 8 min after sample injection. The sample data are measured through an impedance analyzer and analyzed through pattern recognition methods such as linear discriminate analysis, maximum likelihood, and back propagation artificial neural network to classify each type of bacteria. A perfect classification and cross-validation is achieved by using the unique fingerprints extracted from the proposed biosensor through all the applied classifiers. The overall experimental results demonstrate that the proposed disposable all-printed biosensor is applicable for the rapid detection and classification of pathogens.