Development of an optical fiber‐based redox monitoring system for tissue metabolism. Issue 4 (25th January 2022)

• Record Type: Journal Article
• Authors: Zhang, Wen Qi; Sorvina, Alexandra; Morrison, Janna L.; Darby, Jack R. T.; Brooks, Doug A.; Plush, Sally E.; Afshar Vahid, Shahraam
• Is Part Of: Journal of biophotonics. Volume 15:Issue 4(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-01-25
• Subjects: fluorescence -- optical fiber -- redox -- two‐photon microscopy; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.202100304
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: An optical redox ratio can potentially be used to report on the dynamics of cell and tissue metabolism and define altered metabolic conditions for different pathologies. While there are methods to measure the optical redox ratio, they are not particularly suited to real‐time in situ or in vivo analysis. Here, we have developed a fiber‐optic system to measure redox ratios in cells and tissues and two mathematical models to enable real‐time, in vivo redox measurements. The optical redox ratios in tissue explants are correlated directly with endogenous NADH/FAD fluorescence emissions. We apply the mathematical models to the two‐photon microscopy data and show consistent results. We also used our fiber‐optic system to measure redox in different tissues and show consistent results between the two models, hence demonstrating proof‐of‐principle. This innovative redox monitoring system will have practical applications for defining different metabolic disease states. Abstract : An inexpensive optical fiber system is proposed to measure the optical redox ratios in cells and tissues. A mathematical model is developed to accompany the system for real‐time, in vivo measurements. The optical redox ratios in tissue explants is measured using the fiber‐optic system and compared with two‐photon microscopy. This redox monitoring system will have practical applications for defining different metabolic disease states.