Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

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.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 28, Number 6 (2016)
Copyright(C) MYU K.K.
pp. 625-630
S&M1217 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2016.1274
Published: June 22, 2016

Development of an Automatic Sampling Module to Monitor Concentration of Liquid-Borne Nanoparticles [PDF]

Yu-Shan Yeh, Kaoru Kondo, and Han-Fu Weng

(Received February 7, 2015; Accepted January 8, 2016)

Keywords: dilution, automatic, concentration, nanoparticle

Particle detection in liquid reagents for various manufacturing processes is important, especially for the semiconductor industry, to maintain the yield and quality of the end products. As semiconductor devices become smaller, the critical diameters of particle contaminants also become smaller. A measurement system should be correctly calibrated to provide reliable measurements with suitable traceability. Owing to the lack of suitable standard solutions for particle concentration in terms of number, an automatic sampling module compliant with SEMI C-77 has been developed to generate standard solutions with particle concentration as low as 102–103 particles/cm3 depending on the quality of the ultrapure water (UPW) used. With the precise control of flow rates at low and high flux ranges, a dilution factor as high as 4.8 × 109 can be achieved with high accuracy. A concentration standard of polystyrene latex (PSL) nanoparticles with a size of >30 nm was used as stock solution to verify the particle numbers counted by light scattering. The homogeneity of the dilution process was evaluated on the basis of the variation in particle counts during 10 min after sample injection. This automatic system can be applied to the real-time monitoring of the nanoparticles in liquid reagents used in device fabrication.

Corresponding author: Yu-Shan Yeh


Cite this article
Yu-Shan Yeh, Kaoru Kondo, and Han-Fu Weng, Development of an Automatic Sampling Module to Monitor Concentration of Liquid-Borne Nanoparticles, Sens. Mater., Vol. 28, No. 6, 2016, p. 625-630.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
Call for paper


Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.