A paper strip based non-invasive glucose biosensor for salivary analysis.

In our present study, we developed an optical biosensor for direct determination of salivary glucose by using immobilized glucose oxidase enzyme on filter paper strip (specific activity 1.4 U/strip) and then reacting it with synthetic glucose samples in presence of co-immobilized color pH indicator. The filter paper changed color based on concentration of glucose in reaction media and hence, by scanning this color change (using RGB profiling) through an office scanner and open source image processing software (GIMP) the concentration of glucose in the reaction medium could be deduced. Once the biosensor was standardized, the synthetic glucose sample was replaced with human saliva from donors. The individual's blood glucose level at the time of obtaining saliva was also measured using an Accuchek(™) active glucometer (Roche Inc.). In this preliminary study, a correlation of nearly 0.64 was found between glucose levels in saliva and blood of healthy individuals and in diabetic patients it was nearly in the order of 0.95, thereby validating the importance of salivary analysis. The RGB profiling method obtained a detection range of 9-1350 mg/dL glucose at a response time of 45 s and LOD of 22.2 mg/dL.

[1]  M. Ezzati,et al.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants , 2011, The Lancet.

[2]  I. Cook,et al.  An improved dinitrosalicylic acid method for determining blood and cerebrospinal fluid sugar levels , 1962, Journal of Clinical Pathology.

[3]  M. Yamaguchi,et al.  Noninvasively measuring blood glucose using saliva. , 1998, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[4]  S. F. D’souza,et al.  Entrapment of live microbial cells in electropolymerized polyaniline and their use as urea biosensor. , 2009, Biosensors & bioelectronics.

[5]  A Heller,et al.  Implanted electrochemical glucose sensors for the management of diabetes. , 1999, Annual review of biomedical engineering.

[6]  G G Guilbault,et al.  Non-invasive biosensors in clinical analysis. , 1995, Biosensors & bioelectronics.

[7]  Sandeep Kumar Jha,et al.  Optical microbial biosensor for detection of methyl parathion pesticide using Flavobacterium sp. whole cells adsorbed on glass fiber filters as disposable biocomponent. , 2006, Biosensors & bioelectronics.

[8]  T. Macfarlane,et al.  Mixed salivary glucose levels and candidal carriage in patients with diabetes mellitus. , 1991, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

[9]  Juan Aceros,et al.  Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies , 2014, Diagnostics.

[10]  Jeff Bernhardt,et al.  Requirements for Calibration in Noninvasive Glucose Monitoring by Raman Spectroscopy , 2009, Journal of diabetes science and technology.