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SENSORS AND ACTUATORS B-CHEMICAL · 2025 · IF 7.7

Development of an advanced dual-probe fluorescence platform for sensitive and rapid detection of Porphyromonas gingivalis in saliva

Xiaolong Guo,Yan Zhao,Xuemei Xu,Zhibin Wu,Li Xiao,Xiaoyang Ma,Ziqiu Lei,Yilin Zhao,Chengli Zhang,Lixing Song,Minggang Yin

Rapid and accurate detection of Porphyromonas gingivalis ( P. gingivalis ) is crucial for the timely diagnosis and management of periodontal diseases as well as for elucidating its role in systemic conditions. However, conventional diagnostic methods are complex, time-consuming, and unsuitable for point-of-care testing, necessitating the development of a more efficient and accessible detection system. This study presents a novel dual-probe fluorescence platform featuring cadmium telluride quantum dots (CdTe QDs) and a specially designed probe (PAN) as fluorescent molecules, which does not require a washing step. The PAN and CdTe QD probes can efficiently differentiate between Cu 2 + and Cu + ions through ionic hydrolysis and cation exchange reactions, respectively, resulting in the sensitive and rapid detection of arginine-specific gingipain, a key biomarker for P. gingivalis . Furthermore, the color change of CdTe QDs upon contact with saliva samples facilitates the visual identification of P. gingivalis . This dual-probe platform demonstrated a higher signal-to-noise ratio and greater reliability compared to the single-probe methods. Moreover, this platform features a low detection limit of 5 and 20 colony-forming units (CFUs)/mL for the PAN and CdTe QDs signals, respectively, with a visual detection threshold as low as 200 CFU/mL. Thus, this platform provides quantitative and qualitative results that are 100 % in concordance with quantitative PCR results from clinical saliva samples of patients with periodontitis and healthy controls. This simple, rapid, and cost-effective diagnostic tool can be potentially used for point-of-care applications, enabling early detection and improved monitoring of oral health and related diseases.

研究领域: 生物医学工程 · 微生物学 · 牙科医学 · 生物传感器 · 纳米技术 · 诊断检测
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