Literature DB >> 15100800

Measurement of density and chemical concentration using a microfluidic chip.

D Sparks1, R Smith, M Straayer, J Cripe, R Schneider, A Chimbayo, S Anasari, N Najafi.   

Abstract

A new microfluidic product for measuring fluid density, specific gravity and chemical concentration has been developed. At the core of this lab-on-a-chip sensor is a vacuum-sealed resonating silicon microtube. Measurements can be made with under a microliter of sample fluid, which is over 1000x less than is conventionally required. Since the product is MEMS-based the overall system size is a fraction of conventional density meters and it weighs much less than the traditional desk-top, temperature controlled, density meters. The syringe or pipette loaded system includes a dynamic temperature control system that operates between 0 degree C and 90 degree C with an accuracy of less than 0.01 degree C. Density measurement accuracies of 4 to 5 digits have been observed with aqueous solutions. Measurement examples and applications will be discussed.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 15100800     DOI: 10.1039/b211429a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  5 in total

1.  Suspended microchannel resonators for ultralow volume universal detection.

Authors:  Sungmin Son; William H Grover; Thomas P Burg; Scott R Manalis
Journal:  Anal Chem       Date:  2008-05-20       Impact factor: 6.986

2.  A microfluidic long-period fiber grating sensor platform for chloride ion concentration measurement.

Authors:  Jian-Neng Wang
Journal:  Sensors (Basel)       Date:  2011-09-02       Impact factor: 3.576

3.  A MEMS Resonant Sensor to Measure Fluid Density and Viscosity under Flexural and Torsional Vibrating Modes.

Authors:  Libo Zhao; Yingjie Hu; Tongdong Wang; Jianjun Ding; Xixiang Liu; Yulong Zhao; Zhuangde Jiang
Journal:  Sensors (Basel)       Date:  2016-06-06       Impact factor: 3.576

4.  Learning from droplet flows in microfluidic channels using deep neural networks.

Authors:  Pooria Hadikhani; Navid Borhani; S Mohammad H Hashemi; Demetri Psaltis
Journal:  Sci Rep       Date:  2019-05-31       Impact factor: 4.379

Review 5.  Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications.

Authors:  Syahidah Nurani Zulkifli; Herlina Abdul Rahim; Woei-Jye Lau
Journal:  Sens Actuators B Chem       Date:  2017-09-18       Impact factor: 7.460

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.