Sumin BIAN

Prof. Dr. Sumin BIAN

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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2 October 2023 in ACS Nano
Verified
Journal Article
Closed access
SYSisi Yan
Sisi Yan
JSJiacheng Sun
Jiacheng Sun
BCBin Chen
Bin Chen
LWLang Wang
Lang Wang
SBSumin BIAN
Sumin BIAN
GMGuowen Meng
Guowen Meng

23 January 2023 in Analytica Chimica Acta
Verified
Journal Article
Closed access
YZYuqiao Zheng
Yuqiao Zheng
XSXixi Song
Xixi Song
ZFZina Fredj
Zina Fredj
SBSumin BIAN
Sumin BIAN
Mohamad SawanMohamad Sawan
Mohamad Sawan

31 August 2023 in Journal of Pharmaceutical Analysis
Verified
Journal Article
Open access
XSXixi Song
Xixi Song
ZFZina Fredj
Zina Fredj
YZYuqiao Zheng
Yuqiao Zheng
HZHongyong Zhang
Hongyong Zhang
GRGuoguang Rong
Guoguang Rong
Mohamad SawanMohamad Sawan
Mohamad Sawan
Waterborne viruses that can be harmful to human health pose significant challenges globally, affecting health care systems and the economy. Identifying these waterborne pathogens is essential for preventing diseases and protecting public health. However, handling complex samples such as human and wastewater can be challenging due to their dynamic and complex composition and the ultralow concentration of target analytes. This review presents a comprehensive overview of the latest breakthroughs in waterborne virus biosensors. It begins by highlighting several promising strategies that enhance the sensing performance of optical and electrochemical biosensors in human samples. These strategies include optimizing bioreceptor selection, transduction elements, signal amplification, and integrated sensing systems. Furthermore, the insights gained from biosensing waterborne viruses in human samples are applied to improve biosensing in wastewater, with a particular focus on sampling and sample pretreatment due to the dispersion characteristics of waterborne viruses in wastewater. This review suggests that implementing a comprehensive system that integrates the entire waterborne virus detection process with high-accuracy analysis could enhance virus monitoring. These findings provide valuable insights for improving the effectiveness of waterborne virus detection, which could have significant implications for public health and environmental management.

23 August 2017 in Drug Testing and Analysis
Verified
Journal Article
Closed access
SBSumin BIAN
Sumin BIAN
JLJiadi Lu
Jiadi Lu
FDFilip Delport
Filip Delport
SVSeverine Vermeire
Severine Vermeire
DSDragana Spasic
Dragana Spasic
AGAnn Gils
Ann Gils

30 April 2025 in Journal of Pharmaceutical Analysis
Verified
Journal Article
Open access
Hongyong ZhangHongyong Zhang
Hongyong Zhang
NHNan Huang
Nan Huang
SBSumin BIAN
Sumin BIAN
Mohamad SawanMohamad Sawan
Mohamad Sawan
Brain organoid-on-chip platforms have emerged as groundbreaking tools in neural disease modeling and drug discovery, offering a unique and highly accurate simulation of human organ physiology and function compared with traditional cell culture systems. This technology is a harmonious fusion of organ-on-a-chip and organoid culture technologies, leveraging their strengths to provide the most realistic in vitro replication of the in vivo environment, both physically and biologically. As both technologies continue to advance rapidly, this platform is highly promising in vitro platform for disease modeling. In this review, we summarize the historical developments, recent advancements, limitations, and future prospects of brain organoid-on-chip technology, aiming to illuminate the transformative potential of this platform in advancing our understanding and treatment of neural diseases.

28 February 2022 in Biosensors
Verified
Journal Article
Open access
PDF file
YZYuqiao Zheng
Yuqiao Zheng
SBSumin BIAN
Sumin BIAN
JSJiacheng Sun
Jiacheng Sun
LWLiaoyong Wen
Liaoyong Wen
Guoguang RongGuoguang Rong
Guoguang Rong
Mohamad SawanMohamad Sawan
Mohamad Sawan
Cost-effective, rapid, and sensitive detection of SARS-CoV-2, in high-throughput, is crucial in controlling the COVID-19 epidemic. In this study, we proposed a vertical microcavity and localized surface plasmon resonance hybrid biosensor for SARS-CoV-2 detection in artificial saliva and assessed its efficacy. The proposed biosensor monitors the valley shifts in the reflectance spectrum, as induced by changes in the refractive index within the proximity of the sensor surface. A low-cost and fast method was developed to form nanoporous gold (NPG) with different surface morphologies on the vertical microcavity wafer, followed by immobilization with the SARS-CoV-2 antibody for capturing the virus. Modeling and simulation were conducted to optimize the microcavity structure and the NPG parameters. Simulation results revealed that NPG-deposited sensors performed better in resonance quality and in sensitivity compared to gold-deposited and pure microcavity sensors. The experiment confirmed the effect of NPG surface morphology on the biosensor sensitivity as demonstrated by simulation. Pre-clinical validation revealed that 40% porosity led to the highest sensitivity for SARS-CoV-2 pseudovirus at 319 copies/mL in artificial saliva. The proposed automatic biosensing system delivered the results of 100 samples within 30 min, demonstrating its potential for on-site coronavirus detection with sufficient sensitivity.