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author:

Cai, Weicheng (Cai, Weicheng.) [1] | Li, Zhaolin (Li, Zhaolin.) [2] | Huang, Hui (Huang, Hui.) [3] | Li, Xuejing (Li, Xuejing.) [4] | Zhao, Jian (Zhao, Jian.) [5] | Liu, Pengbo (Liu, Pengbo.) [6] | Wu, Yajun (Wu, Yajun.) [7] | Liu, Mingchang (Liu, Mingchang.) [8] | Wang, Jian (Wang, Jian.) [9]

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EI

Abstract:

Laser-induced fluorescence (LIF) is one of the most sensitive techniques for detection. As for the LIF with UV excitation, replacing UV laser with UV LED (i.e., UV LED-IF) has advantages of long life time and low cost. However, for LED-IF, the background signal (noise) would be much higher, due to the poor beam quality of LED. Here, an axial-excitation UV LED-IF with short metal capillary (MC) and black sealing (i.e., MC-LED-IF) was proposed for noninvasive detection of human saliva glucose (HSG). The SNR was improved 3.1-fold by employing the black sealing, due to the effective suppression of the background signal, which mainly results from light leakage. Moreover, the transmission loss of UV LED light in MC and saliva-filled MC was investigated, and an optimal MC length of only 4 cm was obtained. By using the MC-LED-IF, a detection limit of concentration (DLC) of $2.4 \mu \text{M}$ was realized for detecting HSG via conventional 3-(4-hydroxyphenyl)-propionic acid (HPPA) reagent with good selectivity and reliability. The MC-LED-IF features low cost and compact ( $11\times 4\times $ 4 cm), which is suitable for personal use. © 2001-2012 IEEE.

Keyword:

Costs Fluorescence Glucose Laser excitation Laser optics Light emitting diodes Light transmission Signal to noise ratio

Community:

  • [ 1 ] [Cai, Weicheng]Dalian University of Technology, School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian; 116024, China
  • [ 2 ] [Li, Zhaolin]Dalian University of Technology, School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian; 116024, China
  • [ 3 ] [Huang, Hui]Dalian University of Technology, School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian; 116024, China
  • [ 4 ] [Li, Xuejing]Dalian University of Technology, School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian; 116024, China
  • [ 5 ] [Zhao, Jian]Dalian University of Technology, School of Automotive Engineering, Dalian; 116024, China
  • [ 6 ] [Liu, Pengbo]Dalian University of Technology, School of Automotive Engineering, Dalian; 116024, China
  • [ 7 ] [Wu, Yajun]Chinese Academy of Inspection and Quarantine, Beijing; 100176, China
  • [ 8 ] [Liu, Mingchang]Chinese Academy of Inspection and Quarantine, Beijing; 100176, China
  • [ 9 ] [Wang, Jian]Fuzhou University, Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Fuzhou; 350108, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2023

Issue: 8

Volume: 23

Page: 8366-8374

4 . 3

JCR@2023

4 . 3 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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