Early Detection of Initial Caries Using Fluorescent Starch Nano-particles Compared With Salivary Biomarkers

Conventional diagnostic methods, including visual-tactile examination, radiographic assessment, and caries detection systems such as the International Caries Detection and Assessment System (ICDAS), are routinely used to diagnose caries. However, these methods have several limitations. Visual examination depends greatly on the clinician's experience and often detects lesions only after visible changes in enamel have occurred.

Similarly, bitewing radiographs have limited sensitivity for detecting early enamel lesions because radiographic changes become evident only after considerable mineral loss. Consequently, many early carious lesions remain undetected until the disease has progressed.

In addition, saliva liquid sample had gained increasing attention as a valuable diagnostic method. Saliva contains numerous biological molecules that reflect the metabolic activity of the oral environment. Changes in salivary biomarkers associated with demineralization, inflammation, microbial activity, and host immune response may occur before obvious clinical manifestations become visible. Therefore, salivary biomarker analysis provides a non-invasive approach for detecting biological changes related to the initiation and progression of dental caries.

These limitations have encouraged the development of more sensitive, non-invasive diagnostic techniques capable of identifying carious lesions before irreversible structural damage becomes clinically apparent using fluorescent starch nano-particles. One of these emerging technologies is LumiCare mouth rinse, a fluorescence-based diagnostic aid that enhances the visualization of early enamel demineralization by highlighting areas of altered mineral content. This technique has the potential to improve the detection of initial carious lesions that may not be recognized using conventional clinical examination alone.

Recent research suggests that combining structural detection methods with biological indicators may significantly improve the diagnostic accuracy of early caries detection.