title: Sensing of Salivary Glucose Using Nano-Structured Biosensors.
abstract: The anxiety and pain associated with frequent finger pricking has always been troublesome for diabetics measuring blood glucose (BG) in their daily lives. For this reason, a reliable glucose monitoring system that allows noninvasive measurements is highly desirable. Our main objective is to develop a biosensor that can detect low-level glucose in saliva (physiological range 0.5-20 mg/dL). Salivary glucose (SG) sensors were built using a layer-by-layer self-assembly of single-walled carbon nanotubes, chitosan, gold nanoparticles, and glucose oxidase onto a screen-printed platinum electrode. An electrochemical method was utilized for the quantitative detection of glucose in both buffer solution and saliva samples. A standard spectrophotometric technique was used as a reference method to validate the glucose content of each sample. The disposable glucose sensors have a detection limit of 0.41 mg/dL, a sensitivity of 0.24 μA·s·dL·mg(-1), a linear range of 0.5-20 mg/dL in buffer solution, and a response time of 30 s. A study of 10 healthy subjects was conducted, and SG levels between 1.1 to 10.1 mg/dL were successfully detected. The results revealed that the noninvasive SG monitoring could be an alternative for diabetes self-management at home. This paper is not intended to replace regular BG tests, but to study SG itself as an indicator for the quality of diabetes care. It can potentially help patients control and monitor their health conditions, enabling them to comply with prescribed treatments for diabetes.
authors.affiliation: Interdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. du.yu@husky.neu.edu.
authors.forename: Yunqing
authors.initials: Y
authors.lastname: Du
authors.affiliation: Interdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. zhang.wenj@husky.neu.edu.
authors.forename: Wenjun
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Interdisciplinary Engineering Program, College of Engineering, Northeastern University, 360 Huntington Ave, 400 SN, Boston, MA 02115, USA. mi.wang@neu.edu.|Civil and Environmental Engineering, and Bioengineering Department, Northeastern University, 360 Huntington Ave, 429 SN, Boston, MA 02115, USA. mi.wang@neu.edu.
authors.forename: Ming L
authors.initials: ML
authors.lastname: Wang
mesh_terms: D000328:Adult; D015374:Biosensing Techniques / Q000295:instrumentation*; D048271:Chitosan / Q000737:chemistry; D005947:Glucose / Q000032:analysis*; D005949:Glucose Oxidase / Q000737:chemistry*; D006046:Gold / Q000737:chemistry; D006801:Humans; D053768:Metal Nanoparticles / Q000737:chemistry*; D008875:Middle Aged; D037742:Nanotubes, Carbon / Q000737:chemistry*; D010984:Platinum / Q000737:chemistry; D012463:Saliva / Q000737:chemistry*; D013053:Spectrophotometry; D055815:Young Adult
chemical_list: D037742:Nanotubes, Carbon; D010984:Platinum; D006046:Gold; D048271:Chitosan; D005949:Glucose Oxidase; D005947:Glucose
keywords: biosensor; diabetes; glucose monitoring; layer-by-layer assembly; noninvasive; saliva diagnostics