Cited by 195Biosensors and Analytical DetectionElectrochemical sensors and biosensorsSalivary Gland Disorders and Functions

Hand-held monitor of sympathetic nervous system using salivary amylase activity and its validation by driver fatigue assessment

Yamaguchi, Masaki, Deguchi, Mitsuo, Wakasugi, Junichi, Ono, Shin, Takai, Noriyasu, Higashi, Tomoyuki, Mizuno, Yasufumi·2006·Biosensors and Bioelectronics

Abstract

In order to realize a hand-held monitor of the sympathetic nervous system, we fabricated a completely automated analytical system for salivary amylase activity using a dry-chemistry system. This was made possible by the fabrication of a disposable test-strip equipped with built-in collecting and reagent papers and an automatic saliva transfer device. In order to cancel out the effects of variations in environmental temperature and pH of saliva, temperature- and pH-adjusted equations were experimentally determined, and each theoretical value was input into the memory of the hand-held monitor. Within a range of salivary amylase activity between 10 and 140 kU/l, the calibration curve for the hand-held monitor showed a coefficient with R(2)=0.97. Accordingly, it was demonstrated that the hand-held monitor enabled a user to automatically measure the salivary amylase activity with high accuracy with only 30 microl sample of saliva within a minute from collection to completion of the measurement. In order to make individual variations of salivary amylase activity negligible during driver fatigue assessment, a normalized equation was proposed. The normalized salivary amylase activity correlated with the mental and physical fatigue states. Thus, this study demonstrated that an excellent hand-held monitor with an algorithm for normalization of individuals' differences in salivary amylase activity, which could be easily and quickly used for evaluating the activity of the sympathetic nervous system at any time. Furthermore, it is suggested that the salivary amylase activity might be used as a better index for psychological research.

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Crossref · 10.1016/j.bios.2005.03.014

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  • Because saliva can be readily collected, it has been used in connection to in vitro diagnostic biosensors on strips or portable device platforms.

    “Because saliva can be readily collected123-125, it has been used in connection to in vitro diagnostic biosensors on strips or portable device platforms,126-134.”

    From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [128]

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Authors
Yamaguchi, M., Deguchi, M., Wakasugi, J., Ono, S., Takai, N., Higashi, T., & Mizuno, Y.
Affiliations
  • University of Toyama (JP)
  • Osaka Dental University (JP)
  • Yamaha Motor Co., Ltd. (Japan) (JP)
Corresponding author
Yamaguchi, Masaki
Venue
Biosensors and Bioelectronics
Publisher
Elsevier BV
Published
2006-01
Volume
21
Issue
7
Pages
1007-1014
ISSN
0956-5663 (ISSN-L)
OpenAlex
W2052099325
Cited by
195
References
29
Citations by year
2026: 3 · 2025: 6 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 6 · 2019: 9 · 2018: 7 · 2017: 17 · 2016: 11 · 2015: 10 · 2014: 8 · 2013: 9 · 2012: 18
FWCI
5.20
Type
journal article
Language
en
Open access
closed
Locations
  • Biosensors and Bioelectronics (publishedVersion)
  • PubMed (publishedVersion)
Funders
Nipro
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
  • Health Sciences › Medicine › Physiology › Salivary Gland Disorders and Functions
Keywords
salivary amylase activity, sympathetic nervous system, driver fatigue, disposable test strip, saliva collection devices, mental fatigue, physical fatigue
MeSH terms
Adult, Amylases, Automobile Driving, Enzyme Activation, Equipment Design, Fatigue, Female, Humans, Middle Aged, Miniaturization, Photometry, Reagent Kits, Diagnostic, Saliva, Sensitivity and Specificity, Specimen Handling, Sympathetic Nervous System, Reproducibility of Results, Biosensing Techniques, Biomarkers, Equipment Failure Analysis

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