Specific gFET‐Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health‐Relevant Bacterium <i>Roseburia Intestinalis</i>

Roseburia intestinalis, enriched in the gut, is closely associated with obesity, intestinal inflammation, and other diseases. A novel detection method for R. intestinalis to replace the commonly used 16S rRNA sequencing technique is aim to developed, thus enabling real-time and low-cost monitoring of gut microbiota. The optimal solution is to utilize rGO-FET (reduced graphene oxide field-effect transistor) functionalized with aptamers. Due to the high sensitivity of graphene sensors to electronic changes in the system, it is anticipated to achieve detection sensitivity that traditional fluorescence detection techniques cannot attain. The previous work reported a nucleic acid aptamer library, Ri 7_2, capable of quantitatively tracking R. intestinalis in complex systems. However, due to the complexity of the aptamer library itself, large-scale industrial synthesis is challenging, significantly limiting its further commercial application potential. Therefore, in this study, through Next-Generation Sequencing analysis, four representative single aptamers from the aptamer library is strategically selected, named A-Rose 1, A-Rose 2, A-Rose 3, and A-Rose 4, and confirmed their excellent performance similar to the aptamer library Ri 7_2. Furthermore, aptamer-modified rGO-FET demonstrated universality in detecting R. intestinalis in a series of biochemical analyses, providing a novel and powerful diagnostic tool for the clinical diagnosis of R. intestinalis.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2024-12-11
DOI
https://doi.org/10.1002/adhm.202403827
Citations
6
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
1.11

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article

Specific gFET‐Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health‐Relevant Bacterium Roseburia Intestinalis

Yiting Zhang, Jakob Andersson, Frank Rosenau, Christoph Kleber et al.
6 citations
Advanced Healthcare Materials
Biosensors and Analytical Detection
1.11
article

Specific gFET‐Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health‐Relevant Bacterium Roseburia Intestinalis

Yiting Zhang, Jakob Andersson, Frank Rosenau, Christoph Kleber, Marius Henkel, Mika Lindén, Anıl Bozdogan, Wolfgang Knoll, Xing Hu, Robert Straßl, Uwe Knippschild, Roger Hasler, Ann‐Kathrin Kissmann, Bastian Draphoen, Runliu Li
article en
6 citations

Abstract

Roseburia intestinalis, enriched in the gut, is closely associated with obesity, intestinal inflammation, and other diseases. A novel detection method for R. intestinalis to replace the commonly used 16S rRNA sequencing technique is aim to developed, thus enabling real-time and low-cost monitoring of gut microbiota. The optimal solution is to utilize rGO-FET (reduced graphene oxide field-effect transistor) functionalized with aptamers. Due to the high sensitivity of graphene sensors to electronic changes in the system, it is anticipated to achieve detection sensitivity that traditional fluorescence detection techniques cannot attain. The previous work reported a nucleic acid aptamer library, Ri 7_2, capable of quantitatively tracking R. intestinalis in complex systems. However, due to the complexity of the aptamer library itself, large-scale industrial synthesis is challenging, significantly limiting its further commercial application potential. Therefore, in this study, through Next-Generation Sequencing analysis, four representative single aptamers from the aptamer library is strategically selected, named A-Rose 1, A-Rose 2, A-Rose 3, and A-Rose 4, and confirmed their excellent performance similar to the aptamer library Ri 7_2. Furthermore, aptamer-modified rGO-FET demonstrated universality in detecting R. intestinalis in a series of biochemical analyses, providing a novel and powerful diagnostic tool for the clinical diagnosis of R. intestinalis.

Advanced Healthcare MaterialsVol. 14(4)
Danube Private University (AT), AIT Austrian Institute of Technology GmbH (AT), Universität Ulm (DE), Technical University of Munich (DE), Medical University of Vienna (AT)
Gesellschaft für Forschungsförderung Niederösterreich, Deutsche Forschungsgemeinschaft, China Scholarship Council, Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 24%
Biosensors and Analytical Detection
1.11
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