CHAPTER 7. Evaluation of Iron Overload by Non-Invasive Measurement Techniques

2016 ◽  
pp. 213-259
Author(s):  
Roland Fischer
2019 ◽  
Vol 9 (11) ◽  
pp. 2311 ◽  
Author(s):  
Stanislaw Galla ◽  
Arkadiusz Szewczyk ◽  
Janusz Smulko ◽  
Patryk Przygocki

This article presents the qualitative analyses of the construction of supercapacitor samples. The analyses are based on the suggested thermographic measurements as well as the technique of testing the inherent noise of the investigated element. The indicated assessment methods have been referred to the currently used parameters for the qualitative evaluation of supercapacitors. The approach described in this paper, which introduces additional parameters assessing worn out of supercapacitors, can be included in the so-called non-invasive measurement methods, which allow the assessment of the condition of the sample under test. This article presents the applied measurement stands and verifies of the applicability of measurement methods in relation to the currently used parameters allowing for the qualitative assessment of supercapacitors. The measurement method presented in this article was used to study prototypes of supercapacitors. The measurement results allow for more accurate characterization of the observed element. Conducted tests revealed, at the same time, that one of the proposed evaluation methods, based on measurements of inherent noise of tested supercapacitors, is a method predicting their degradation.


Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 894
Author(s):  
Elias August ◽  
Besmira Sabani ◽  
Nurdzane Memeti

Automatisation and digitalisation of laboratory processes require adequate online measurement techniques. In this paper, we present affordable and simple means for non-invasive measurement of biomass concentrations during cultivation in shake flasks. Specifically, we investigate the following research questions. Can images of shake flasks and their content acquired with smartphone cameras be used to estimate biomass concentrations? Can machine vision be used to robustly determine the region of interest in the images such that the process can be automated? To answer these questions, 18 experiments were performed and more than 340 measurements taken. The relevant region in the images was selected automatically using K-means clustering. Statistical analysis shows high fidelity of the resulting model predictions of optical density values that were based on the information embedded in colour changes of the automatically selected region in the images.


Author(s):  
Sharvari Raut ◽  
Rosalizan Md Saleh ◽  
Phil Kirchhofer ◽  
Boris Kulig ◽  
Oliver Hensel ◽  
...  

AbstractThe present work aims to improve the understanding of the effect of different drying strategies at varying temperatures on the dynamic drying behaviour and quality of organic products such as carrots using non-invasive measurement techniques. For this purpose, carrot slices of 3 mm thickness were dried under three different strategies namely air temperature controlled (A), product temperature controlled (P) and stepwise temperature controlled (S) at different temperatures (50 °C, 60 °C and 70 °C) to measure and analyse the changes in moisture content, colour, total carotenoid retention, water activity, rehydration ratio and specific energy consumption. From the investigation performed, it was incurred that the application of different drying strategies influences rather significantly both the product quality as well as the overall process efficiency. Modelling the drying curves deemed Page model to be a good fit for all the strategies with R2adj = 0.99 and RMSE = 0.01. The results also show that implementing strategy P not only led to shorter drying times but also led to higher total carotenoid retention within the samples (TCR = 0.59–0.73). Colour changes, however, were observed to be maximum with strategy P as compared to strategy A and strategy S. Furthermore, the use of a non-invasive measurement technique such as infrared camera proved to be reliable in order to detect the phase transition of the product during the drying process.


2014 ◽  
Vol 15 (6) ◽  
pp. 736-744 ◽  
Author(s):  
Chin‐Man Wang ◽  
Ji‐Yih Chen ◽  
Chiung‐Cheng Chuang ◽  
Wen‐Chun Tseng ◽  
Alice MK Wong ◽  
...  

Author(s):  
S. A. Bories ◽  
M. C. Charrier-Mojtabi ◽  
D. Houi ◽  
P. G. Raynaud

2015 ◽  
Vol 9 (9) ◽  
Author(s):  
M. I. Siddiqui ◽  
S. Munir ◽  
M. R. Heikal ◽  
A. Rashid A. Aziz ◽  
S. C. Dass

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