Ultra-weak photon emission in healthy subjects and patients with type 2 diabetes: evidence for a non-invasive diagnostic tool. Issue 5 (15th March 2017)

• Record Type: Journal Article
• Authors: Yang, Meina; Ding, Wenyu; Liu, Yanli; Fan, Hua; Bajpai, Rajendra P.; Fu, Jialei; Pang, Jingxiang; Zhao, Xiaolei; Han, Jinxiang
• Is Part Of: Photochemical & photobiological sciences. Volume 16:Issue 5(2017)
• Page Start: 736
• Page End: 743
• Publication Date: 2017-03-15
• Subjects: Photochemistry -- Periodicals; Photobiology -- Periodicals; 541.35
• DOI: 10.1039/c6pp00431h
• Languages: English
• ISSNs: 1474-905X

Abstract

Abstract : Ultra-weak, spontaneous photon emission from five body sites in fifty patients with type 2 diabetes and sixty age-matched healthy subjects was measured with a high-sensitivity whole-body biophoton detection system. Abstract : Background : Spontaneous ultra-weak photon emission (UPE) is a common phenomenon in biological systems and has been linked to pathological states. Researchers have always considered ultra-weak photon emission a potential non-invasive diagnostic tool, but its application in the medical field is stagnant due to the lack of relevant data for pathological states. Methods : Ultra-weak photon signals from five body sites (forehead, neck, heart, stomach, and navel) in fifty patients with type 2 diabetes and sixty age-matched healthy subjects were measured using a moveable whole-body biophoton detection system. Photon signal is measured for 10 min and detected in bins of 50 ms by a photomultiplier with a range of 290–630 nm. Each signal is a time series of 12 000 elements. Various parameters including photon intensity, Q value, squeezed state parameters (| α |, θ, ø, r ) and SSI were analyzed. Results and conclusion : we found significant differences in the abovementioned parameters between groups, and all subjects could be clustered into two groups according to the results obtained by principal component analysis. Methods and results from this study could be useful for constructing a UPE database for a range of diseases, which would promote the application of UPE in clinical diagnosis in the future.