Literature DB >> 9384729

Analysis of tear fluid by CE/LIF: a noninvasive approach for glucose monitoring.

R Chen1, Z Jin, L A Colón.   

Abstract

Nanoliter volumes of human tear fluid were collected by means of a capillary tube without inducing tearing and were analyzed for glucose content. The tear fluid was subjected to two enzymatic reactions to generate a fluorescent compound that is proportional to the concentration of glucose in the sample. CE with laser-induced fluorescence (LIF) detection was used to monitor the fluorescent species generated, hence glucose in the tear samples. The reproducibility of the method for six different preparations was < 9% relative standard deviation (RSD). The procedure was compared with the glucose dehydrogenase method for the determination of glucose in blood before using it to determine glucose in tear fluid. Blood and tear samples were collected from six healthy human subjects. The results showed that the higher glucose content in tear samples is consistent with the higher glucose content in blood samples. The glucose concentration of the tear samples analyzed ranged from 128 to 166 microM, and that of blood ranged from 3.3 to 4.3 mM.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 9384729

Source DB:  PubMed          Journal:  J Capillary Electrophor        ISSN: 1079-5383


  8 in total

1.  Ophthalmic glucose sensing: a novel monosaccharide sensing disposable and colorless contact lens.

Authors:  Ramachandram Badugu; Joseph R Lakowicz; Chris D Geddes
Journal:  Analyst       Date:  2004-05-10       Impact factor: 4.616

2.  A disposable tear glucose biosensor-part 1: design and concept testing.

Authors:  Daniel K Bishop; Jeffrey T La Belle; Stephen R Vossler; Dharmendra R Patel; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

3.  Evaluation of lacrimal fluid as an alternative for monitoring glucose in critically ill patients.

Authors:  Jaclyn M Leblanc; Curtis E Haas; Glorimar Vicente; Luis A Colon
Journal:  Intensive Care Med       Date:  2005-08-16       Impact factor: 17.440

4.  A glucose sensor protein for continuous glucose monitoring.

Authors:  Jithesh V Veetil; Sha Jin; Kaiming Ye
Journal:  Biosens Bioelectron       Date:  2010-08-23       Impact factor: 10.618

5.  Analysis of tear glucose concentration with electrospray ionization mass spectrometry.

Authors:  Christopher R Taormina; Justin T Baca; Sanford A Asher; Joseph J Grabowski; David N Finegold
Journal:  J Am Soc Mass Spectrom       Date:  2006-11-02       Impact factor: 3.109

Review 6.  Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection.

Authors:  Ahmad Yaser Alhaddad; Hussein Aly; Hoda Gad; Abdulaziz Al-Ali; Kishor Kumar Sadasivuni; John-John Cabibihan; Rayaz A Malik
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

Review 7.  Small-volume detection: platform developments for clinically-relevant applications.

Authors:  Wei-Hsuan Sung; Yu-Ting Tsao; Ching-Ju Shen; Chia-Ying Tsai; Chao-Min Cheng
Journal:  J Nanobiotechnology       Date:  2021-04-21       Impact factor: 10.435

Review 8.  The Application of Wearable Glucose Sensors in Point-of-Care Testing.

Authors:  Sheng Zhang; Junyan Zeng; Chunge Wang; Luying Feng; Zening Song; Wenjie Zhao; Qianqian Wang; Chen Liu
Journal:  Front Bioeng Biotechnol       Date:  2021-12-08
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.