In situ quantitative assessment of food oral processing parameters: A review of feasible techniques and devices

Abstract

Oral processing is a combination of various actions, the detailed description of which has always been the subject of relevant research. By means of imaging technology and sensory evaluation, more knowledge of oral processing have been accumulated. Presently, the advances in sensory technology have added quantitative parameters to the qualitative description of oral processing, which also enriched the specifics of each action. Previous studies have shown that oral processing includes lip closure, dental occlusion, masticatory muscles activity, tongue movement, and swallowing, whose processing contains rich information such as the movement of organ and the intensity of organ contacts. “Quantification” was taken in this review as the basic feature of in situ detection information, the relevant parameters and feasible methods for the quantitative description of each activity was recorded in detail. In addition, basic problems and feasible optimization schemes of the existing in situ detection device are also proposed in the hope of promoting the development of in situ detection device thus providing available information for the description of oral processing.

Sustainable Solutions for Oral Health Monitoring: Biowaste-Derived Triboelectric Nanogenerator

“…Occlusal force is one of the parameters that help to understand the present status of the teeth and chewing muscles to eradicate the teeth problems in early phases. , Recently, various polymer materials (polyamide, PVDF, PDMS, and polyurethane) have been widely utilized to develop flexible bite sensors. − However, the aforementioned polymer materials are not biodegradable, leading to environmental pollution in a later stage. Many sensors are trying to operate at low power to achieve miniaturization and ease of fabrication.…”

Resolution enhancement of tongue tactile image based on deconvolution neural network

“…The tactile perception of the tongue surface is composed of mechanical stimuli received by tens of thousands of tactile corpuscles (Kohyama, 2020; Miles et al, 2018). To explore the actual state of the tactile perception, and further reveal the generation mechanism of the tactile perception of the tongue surface, many researchers try to reproduce the multipoint tactile perception state of the tongue surface using tactile images (Chen et al, 2018; Jiang et al, 2020; Li et al, 2018; Liu et al, 2022; Park et al, 2020, 2021). In this process, they face an arduous task: Using the sensor array with limited acquisition points to obtain the multiple contacts information on the tongue surface (Hori et al, 2009; Liu et al, 2017; Yeh et al, 2017).…”