Akhmad Irhas Robby

Research Professor

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About

Akhmad Irhas Robby is a Research Professor at the Chemical Industry Institute of Korea National University of Transportation. His research focuses on innovative sensor technologies and hydrogel applications, as evidenced by his recent articles on topics such as tumor microenvironment-responsive systems, electrochemical sensors for disease diagnosis, and hydrogel materials designed for cancer detection. He contributes to advancements in medical diagnostics and materials science, particularly in relation to osteoarthritis and bacterial pneumonia.

Articles (10)

Cancer cell‐triggered sol–gel transformation of mineralized hydrogel (PAA‐MnO 2 ) is designed as a facile strategy for cancer detection by manipulating the mineralization process in the presence of cancer cells. The mineralization of polyacrylic acid (PAA) with calcium phosphate via carboxyl‐Ca 2+ complex is initially inhibited by the incorporation of reactive oxygen species (ROS)‐sensitive manganese oxide (MnO 2 ) with polymer dots (PDs). In this system, the mineralization can be induced after cleaving MnO 2 into Mn 2+ by high ROS levels in cancer cells, forming a PAA‐MnO 2 mineralized hydrogel and resulting in a naked‐eye system for cancer monitoring. Naked‐eye monitoring of ROS‐responsive sol–gel transformation is performed using a circulator device containing circulating cells to discriminate cancer (HeLa, PC‐3, B16F10) from normal cells (CHO‐K1). With the incorporation of PDs, PAA‐MnO 2 mineralized hydrogel not only provides physical transformation (stretchability, viscosity) but also fluorescence‐recovery and electroconductivity changes at different cancer‐cell concentrations (10 4 –10 6 cells mL −1 ), including distinct strain–pressure responses that can be wirelessly monitored via smartphones. Furthermore, in vivo, experiments suggest that PAA‐MnO 2 mineralized hydrogel can be formed in tumor‐bearing mice owing to its excellent ROS‐scavenging activity at the tumor site, as confirmed by SOD2 and gene‐expression analysis. Thus, this unique approach can potentially enable simple and effective cancer detection in future point‐of‐care diagnostics.

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Year:

2022

Year:

2021

Collaborators (2)

Ji Hyun Ryu

Assistant Professor

Wonkwang University

SOUTH KOREA
View details

Sung Young Park

-

SOUTH KOREA
View details
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