Triple-Mode Lateral Flow Assay Biosensor For Periodontal Detect

This triple-mode biosensor aimed to simplify detection, reduce false positives, and enhance signal strength while optimizing the balance between detection sensitivity and range in a solid-state sensor. Effectively identified periodontitis patients from healthy subjects in genuine samples, indicating significant potential for disease prediction, early diagnosis, and progression tracking. This system combines a triple-mode lateral flow strip with a fluorescence-Raman dual signal detection apparatus. With the inclusion of upconversion nanoparticles (NaYF4: Yb3+, Er3+) and core-shell Au-DTNB@Ag NPs on the lateral flow strip. MicroRNA-155 is found to be overexpressed in periodontitis patients. We collected saliva samples from the periodontal patients and healthy individuals to test the microRNA-155 concentration of the samples. All collection procedures were legal and compliant, approved by Ethics Committee of the institution (2022.92). The device can produce fluorescence, colorimetric, and SERS signals concurrently. This configuration delivers impressive sensitivity and a broad linear detection range, from 2 nM down to 1 fM. Importantly, this triple-mode biosensor showcases reliable performance in both artificial saliva and serum samples, allowing clear differentiation between patients and healthy individuals. In conclusion, this work pioneers a flexible approach for microRNA detection across various body fluids, offering potential avenues for preventative healthcare and expedited diagnoses. Additionally, the versatility of this assay system holds promise for identifying a plethora of biomarkers, positioning it as an invaluable asset for a wide range of clinical and research endeavors.

Authors

Publication Details

Journal
International Dental Journal
Published
2025-10-01
DOI
https://doi.org/10.1016/j.identj.2025.104427
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Triple-Mode Lateral Flow Assay Biosensor For Periodontal Detect

Cong Chen
International Dental Journal
Spectroscopy Techniques in Biomedical and Chemical Research
article

Triple-Mode Lateral Flow Assay Biosensor For Periodontal Detect

Cong Chen
article en

Abstract

This triple-mode biosensor aimed to simplify detection, reduce false positives, and enhance signal strength while optimizing the balance between detection sensitivity and range in a solid-state sensor. Effectively identified periodontitis patients from healthy subjects in genuine samples, indicating significant potential for disease prediction, early diagnosis, and progression tracking. This system combines a triple-mode lateral flow strip with a fluorescence-Raman dual signal detection apparatus. With the inclusion of upconversion nanoparticles (NaYF4: Yb3+, Er3+) and core-shell Au-DTNB@Ag NPs on the lateral flow strip. MicroRNA-155 is found to be overexpressed in periodontitis patients. We collected saliva samples from the periodontal patients and healthy individuals to test the microRNA-155 concentration of the samples. All collection procedures were legal and compliant, approved by Ethics Committee of the institution (2022.92). The device can produce fluorescence, colorimetric, and SERS signals concurrently. This configuration delivers impressive sensitivity and a broad linear detection range, from 2 nM down to 1 fM. Importantly, this triple-mode biosensor showcases reliable performance in both artificial saliva and serum samples, allowing clear differentiation between patients and healthy individuals. In conclusion, this work pioneers a flexible approach for microRNA detection across various body fluids, offering potential avenues for preventative healthcare and expedited diagnoses. Additionally, the versatility of this assay system holds promise for identifying a plethora of biomarkers, positioning it as an invaluable asset for a wide range of clinical and research endeavors.

International Dental JournalVol. 75
Openalex Percentile: Top 77%
Spectroscopy Techniques in Biomedical and Chemical Research
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