
 
light as stimulus and detection of fluorescence at 
violet or blue have shown a very good correlation 
with the glucose concentrations in DMEM solution. 
Light stimulation with blue light and the detection of 
fluorescence by green region shows also a high 
correlation with the glucose concentrations. The 
detected glucose signals will be then subjected to 
perturbations from the surroundings and from the 
background of the measured locations due to tissue 
alteration and physiological parameter variations. 
All perturbations such as temperature, humidity and 
applied pressure variations have to be included by 
the calculations, as illustrated by Figure 6. 
 The drift of the characteristics of the electronic 
and optical components may cause high disturbances 
to the measurements. The integration of further 
parameters may enhance the reproducibility but 
decrease the accuracy due to the measurement 
errors. The system complexity and the number of the 
measured parameters have to be minimized.   
There are few fluorescence-based glucose 
detection methods that have reached the stage of 
testing in vivo, but none have entered clinical 
practice for diabetes management. This will be an 
area of active investigation in a future work. We will 
need to explore different interferences and the 
stability as well as accuracy under normal life 
conditions. 
There is no doubt that fluorescence technologies 
have considerable promise for glucose sensing. 
As a future work, all developed sensors will be 
integrated in one system that enables the 
simultenous processing of the detected signals 
(Caduff, 2009). Other blood components like total 
hemoglobin concentrations and fractional oxygen 
saturation measured non-invasively have to be taken 
as parameters by the glucose calculations.  The 
suitable locations for measurements may be earlobe 
for transmission measurements or forehead as well 
as abdomen for reflection measurements has to be 
chosen. Applying the Twersky theory or diffusion 
theory by the calculations are our next perspectives. 
After that a clinical study for non-invasive 
measurements and applying the neural fuzzy 
techniques the results and the system will be 
optimized. 
Using a daily, disposable contact lens embedded 
with newly developed boronic acid containing 
fluorophores may also be suitable for the continuous 
monitoring of tear glucose levels. 
 
 
 
ACKNOWLEDGEMENTS 
This work is a part of the project „System for Non-
invasive Detection of Glucose “supported by the 
Foundation Baden-Württemberg Stiftung by 
Research Program: Microsystem technology for the 
life sciences. We thank also Dr. Michaela Mueller 
and Svenja Hinderer from Fraunhofer Institute 
Institute IGB, University of Stuttgart for the 
measurements. 
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