• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. C
  4. Che…
  5. Chen Hao
🔗 Permalink
Inventor profile of:

Hao Chen

City:

Athens, Ohio

Country:

United States

Published Applications:

7

Last publication date:

2016-05-05

Top Assignees for applications by Hao Chen

The entities that hold a legal rights for patent applications filed by inventor Chen Hao:

  • OHIO UNIVERSITY 7 Athens, OH United States

Recent patent applications by Chen Hao

Hao Chen from Athens, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2016-05-05
US20160123936A1
Physics

Versatile ambient ionization-based interface for LC/MS

#2 | 2015-11-26
US20150338375A1
Physics

Microsecond time-resolved mass spectrometry

#3 | 2015-10-15
US20150293116A1
Physics

Ionization of chemicals in mixture at low pH by ambient ionization/mass spectrometry

#4 | 2015-10-08
US20150288013A1
Electricity

Online monitoring of fuel cell reactions by desorption electrospray mass spectrometry

#5 | 2014-05-29
US20140147921A1
Physics

MICROSECOND TIME-RESOLVED MASS SPECTROMETRY

#6 | 2010-10-14
US20100258717A1
Electricity

On-line and off-line coupling of EC with DESI-MS

#7 | 2010-03-11
US20100059674A1
Electricity

Method and apparatus of liquid sample-desorption electrospray ionization-mass specrometry (LS-DESI-MS)

InventorID:

778926 ⎘

  1. Home
  2. Inventor
  3. C
  4. Che…
  5. Chen Hao

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.