S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
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Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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NIR Spectroscopic Determination of Polyphenol Content in Teas and Tea Extract at 2142 nm [PDF]

Mahasen Ranatunga, Yasuhiro Uwadaira, Akifumi Ikehata, and Hidekazu Ito

(Received September 10, 2020; Accepted February 12, 2021)

Keywords: NIR, transmittance-reflectance cell, total polyphenol (TPP), PLS regression analysis, correlation spectrum

Various teas, a tea extract, and a catechin mixture reagent were measured in transmittance-reflectance mode using visible and NIR (Vis-NIR) spectroscopy. Total polyphenol (TPP) content in the tea samples was determined using Vis-NIR spectra. Then, reference TPP content was determined by the colorimetric ferrous tartrate method. Partial least squares (PLS) regression, a method of multivariate analysis, was performed in combination with various wavelength ranges and spectral pretreatments. Usually, multivariate analyses in which many independent variables are applied have been used for NIR data to obtain high accuracy for the determination. Nevertheless, surprisingly, only 2142 nm, which has high sensitivity and is in the NIR region, was identified for the determination of TPP content in various teas and tea extracts based on regression coefficient values, selectivity ratio (SR) values of the best PLS model [correlation coefficient (R = 0.98, n = 69)], correlation coefficients (a correlation spectrum) between the reference TPP content and Savitzky–Golay smoothing with the second derivatives (SG2D) with standard normal variate (SNV) preprocessing of raw spectra, and the peaks of the raw spectra and their SG2D with SNV. The R value between SG2D with SNV at 2142 nm and reference TPP content was 0.96 (n = 69).

Corresponding author: Hidekazu Ito




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