Olfactory diagnostic analysis system based on a low-pressure chamber,simulated weightless human bedridden volunteers,and general population oral odor mapping analysis

Fan Quanchun; Xu Chong; Liu Junlian; Wu Xiaorui; Liu Yu; Wang Jiaping; Zhao Shuang; Li Yongzhi

doi:10.16289/j.cnki.1002-0837.2025.04017

Abstract：Objective Hypobaric chamber and simulated weightless bed are essential methods for aerospace medical research,and conducting state assessment of volunteers before and after hypobaric chamber and simulated weightless bed tests is an essential guideline for aerospace implementation medicine.To further improve the efficiency of human condition assessment,in addition to the conventional biochemical and physiological indicators,the human oral exhaled gas can be used for condition assessment,and the olfactometry acquisition equipment and analysis software can collect and detect most volatile gases to complete the human oral exhaled gas data acquisition.Conducting comparative analysis of olfactory mapping data from different populations may be a means to assess the status of the body.Methods The olfactometry acquisition equipment was used to collect the oral exhaled breath olfactometry profiles of the general population,hypobaric cabin volunteers,and ambulatory volunteers.The olfactometry analysis software was used to calculate the 12 eigenvalues of the olfactometry profiles and the t-SNE downscaling,and the radar plots were used to analyze the olfactometry profiles of the general population,low-pressure cabin volunteers,and ambulatory volunteers respectively.A comparative analysis of different populations was conducted.Results(1)The t-SNE mapping data of the general population and the ambulatory volunteers were almost indistinguishable;(2)the t-SNE mapping data of the hypobaric cabin volunteers and the general population had a slight overlap,but the distinguishability of the vast majority of the t-SNE mapping data was obvious;(3)the t-SNE mapping data of the hypobaric cabin volunteers and the ambulatory volunteers were distinguishable with no overlap,and the ambulatory t SNE data are highly aggregated,and the distribution of t-SNE data in low-pressure cabin is more discrete;(4)there are 2-3 sensors with large eigenvalues and a large range of variation for both low-pressure cabin volunteers and recumbent volunteers after training activities,and the common sensor with a large range of variation is S6.Conclusion Olfactory diagnostic analysis mapping may be a means to assess the health status of the body and may be useful for spaceflight health status assessment in the future.The analysis and application of flight health state assessment can be a reference in the future.