Hsiu-Mei Chen

Dr. Hsiu-Mei Chen


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 May 2017 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
HCHsiu-Mei Chen
Hsiu-Mei Chen
KJKai-Ru Jheng
Kai-Ru Jheng
AYAn-Dih Yu
An-Dih Yu

1 April 2014 in Colloids and Surfaces B: Biointerfaces
Verified
Journal Article
Closed access
HCHsiu-Mei Chen
Hsiu-Mei Chen
CLChi-Jung Lin
Chi-Jung Lin
KJKai-Ru Jheng
Kai-Ru Jheng
AKAline Kosasih
Aline Kosasih
JCJia-Yaw Chang
Jia-Yaw Chang

1 April 2014 in Food and Bioproducts Processing
Verified
Journal Article
Closed access
PSPei-Jiun Shiu
Pei-Jiun Shiu
HCHsiu-Mei Chen
Hsiu-Mei Chen
CLCheng-Kang Lee
Cheng-Kang Lee

1 September 2009 in Analytical Biochemistry
Verified
Journal Article
Closed access
HCHsiu-Mei Chen
Hsiu-Mei Chen
THTsun-Han Huang
Tsun-Han Huang
RTRuey-Ming Tsai
Ruey-Ming Tsai

18 December 2020 in Sensors
Verified
Journal Article
Open access
PDF file
YLYing-Chin Lin
Ying-Chin Lin
CLChing-Yu Lin
Ching-Yu Lin
HCHsiu-Mei Chen
Hsiu-Mei Chen
LKLi-Pin Kuo
Li-Pin Kuo
CHCheng-En Hsieh
Cheng-En Hsieh
YCYi Su Chen
Yi Su Chen
Glycated hemoglobin (HbA1c) levels are an important index for the diagnosis and long-term control of diabetes. This study is the first to use a direct and label-free photoelectric biosensor to determine HbA1c using bacteriorhodopsin-embedded purple membranes (PM) as a transducer. A biotinylated PM (b-PM) coated electrode that is layered with protein A-oriented antibodies against hemoglobin (Hb) readily captures non-glycated Hb (HbA0) and generates less photocurrent. The spectra of bacteriorhodopsin and Hb overlap so the photocurrent is reduced because of the partial absorption of the incident light by the captured Hb molecules. Two HbA0 and HbA1c aptasensors that are prepared by conjugating specific aptamers on b-PM coated electrodes single-step detect HbA0 and HbA1c in 15 min, without cross reactivity, with detection limits of ≤0.1 μg/mL and a dynamic range of 0.1–100 μg/mL. Both aptasensors exhibit high selectivity and long-term stability. For the clinical samples, HbA0 concentrations and HbA1c levels that are measured with aptasensors correlate well with total Hb concentrations and the HbA1c levels that are determined using standard methods (correlation gradient = 0.915 ± 0.004 and 0.981 ± 0.001, respectively). The use of these aptasensors for diabetes care is demonstrated.

16 October 2023 in Biosensors
Verified
Journal Article
Open access
PDF file
HCHsiu-Mei Chen
Hsiu-Mei Chen
YTYi-Hsuan Tsai
Yi-Hsuan Tsai
CHChien-Yi Hsu
Chien-Yi Hsu
YWYong-Yi Wang
Yong-Yi Wang
CHCheng-En Hsieh
Cheng-En Hsieh
CLChing-Yu Lin
Ching-Yu Lin
An effective early diagnosis is important for rheumatoid arthritis (RA) management. This study reveals a novel RA detection method using bacteriorhodopsin as a photoelectric transducer, a light-driven proton pump in purple membranes (PMs). It was devised by covalently conjugating a PM monolayer-coated electrode with a citrullinated-inter-alpha-trypsin inhibitor heavy chain 3 (ITIH3)542–556 peptide that recognizes the serum RA-associated autoantibodies. The direct serum coating decreased the photocurrents in the biosensor, with the reduction in the photocurrent caused by coating with an RA-patient serum that is significantly larger than that with a healthy-control serum (38.1% vs. 20.2%). The difference in the reduction in the photocurrent between those two serum groups widened after the serum-coated biosensor was further labeled with gold nanoparticle (AuNP)-conjugated anti-IgA (anti-IgA-AuNP) (53.6% vs. 30.6%). Both atomic force microscopic (AFM) and Raman analyses confirmed the sequential peptide, serum, and anti-IgA-AuNP coatings on the PM-coated substrates. The reductions in the photocurrent measured in both the serum and anti-IgA-AuNPs coating steps correlated well with the results using commercial enzyme-linked immunosorbent assay kits (Spearman rho = 0.805 and 0.787, respectively), with both a sensitivity and specificity close to 100% in both steps. It was shown that an RA diagnosis can be performed in either a single- or two-step mode using the developed biosensor.