
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
ORIGINAL RESEARCH article
Front. Bioeng. Biotechnol.
Sec. Industrial Biotechnology
Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1455336
The final, formatted version of the article will be published soon.
You have multiple emails registered with Frontiers:
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The increased application of single-use (SU) equipment and sensor technology in Biopharma and Bioprocess has a significant impact on development and production. The question also arises for users as to how sensor uncertainties due to SU devices can be handled and estimated to ensure process reliability. The classical methods for verification by means of calibration and resulting uncertainty determination are only transferable to SU sensors to a limited extent. Sensor elements are usually delivered to the user sterile and without possibilities of (multiple) in-process calibration. Manufacturers' specifications do not use strictly defined terms but constructions such as (1-sigma) accuracy, which makes it even more difficult for the end customer to classify the sensor in a process with various measurement techniques and quantities. The purpose of this paper is to demonstrate the determination of measurement uncertainty using a 1/2-inch BioPATยฎFlow SU sensor as an example to accomplish a comparison of the determined measurement uncertainty with the accuracy specification given in the sensor data sheet. A linear regression could be determined as the upper limit of the combined measurement uncertainty: ๐ข(๐) = 0.0114 ๐ + 0,182 ๐ฟ/๐๐๐
Keywords: Single-use sensors, Flow sensor, measurement uncertainty, bio pharma, Bio process
Received: 26 Jun 2024; Accepted: 17 Feb 2025.
Copyright: ยฉ 2025 Ludolph, Haller and Prediger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Niclas Ludolph, Sartorius, Goettingen, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Research integrity at Frontiers
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.