• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. K
  4. Klo…
  5. KLOPPSTECH Konstantin
🔗 Permalink
Inventor profile of:

Konstantin KLOPPSTECH

City:

Mainz

Country:

Germany

Published Applications:

7

Last publication date:

2024-02-22

Recent patent applications by KLOPPSTECH Konstantin

Konstantin KLOPPSTECH from Mainz, DE has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2024-02-22
US20240060973A1
Physics

SENSOR FOR CONVERSION OF CHEMICAL AND/OR BIOCHEMICAL INFORMATION FROM AN ANALYTE

#2 | 2024-02-22
US20240060972A1
Physics

DIGITAL SENSOR DEVICE FOR DETECTING ANALYTES IN A SAMPLE

#3 | 2024-02-22
US20240058815A1
Performing operations; transporting

DEVICE FOR THE DETECTION OF AT LEAST ONE ANALYTE IN A SAMPLE

#4 | 2023-10-26
US20230341387A1
Physics

SPRING ELEMENT FOR ANALYZING AN ANALYTE

#5 | 2023-08-31
US20230273201A1
Physics

DIGITAL SENSOR WITH REFERENCE CANTILEVER FOR CONVERTING CHEMICAL AND/OR BIOCHEMICAL INFORMATION

#6 | 2023-08-24
US20230264196A1
Performing operations; transporting

DIGITAL ANALYSIS SYSTEM

#7 | 2023-08-10
US20230251252A1
Physics

DIGITAL SENSOR DEVICE FOR DETECTING AN ANALYTE IN A SAMPLE

InventorID:

5820824 ⎘

  1. Home
  2. Inventor
  3. K
  4. Klo…
  5. KLOPPSTECH Konstantin

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.