Cargando…

Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing

The fouling of indirect shell and coil heat exchanger by heavy whipping cream (HWC) and non-fat dry milk (NFDM) was studied at aseptic Ultra-High Temperature (UHT) processing conditions (140 °C) using a novel non-intrusive sensor. The sensor emitted a heat pulse intermittently throughout the duratio...

Descripción completa

Detalles Bibliográficos
Autores principales: Rivera, Fernando José Cantarero, Mishra, Dharmendra K, Ozadali, Ferhan, Benyathiar, Patnarin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916806/
https://www.ncbi.nlm.nih.gov/pubmed/33579051
http://dx.doi.org/10.3390/s21041271
_version_ 1783657561062375424
author Rivera, Fernando José Cantarero
Mishra, Dharmendra K
Ozadali, Ferhan
Benyathiar, Patnarin
author_facet Rivera, Fernando José Cantarero
Mishra, Dharmendra K
Ozadali, Ferhan
Benyathiar, Patnarin
author_sort Rivera, Fernando José Cantarero
collection PubMed
description The fouling of indirect shell and coil heat exchanger by heavy whipping cream (HWC) and non-fat dry milk (NFDM) was studied at aseptic Ultra-High Temperature (UHT) processing conditions (140 °C) using a novel non-intrusive sensor. The sensor emitted a heat pulse intermittently throughout the duration of the process causing an incremental increase in temperature at the tube external surface. The temperature response of the sensor varied due to the radial growth of the fouling layer formed by certain components of the products. Each heating pulse and the temperature response was studied to estimate the thermal conductivity of the fouling layer using inverse problems and parameter estimation. The changes in thermal conductivity were used as an indication of the fouling layer development during food processing at UHT temperatures. The estimated parameters from experimental results showed a decreasing trend in the thermal conductivity of HWC and NFDM from 0.35 to 0.10 and 0.63 to 0.37, respectively. An image analysis tool was developed and used to measure the fouling layer thickness at the end of each trial. The measured thickness was found to be 0.58 ± 0.15 for HWC and 0.56 ± 0.07 mm for NFDM. The fouling layer resistance for HWC and NFDM was 5.95 × 10(−3) ± 1.53 × 10(−3) and 1.53 × 10(−3) ± 2.0 × 10(−4) (m(2)K)/W, respectively.
format Online
Article
Text
id pubmed-7916806
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79168062021-03-01 Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing Rivera, Fernando José Cantarero Mishra, Dharmendra K Ozadali, Ferhan Benyathiar, Patnarin Sensors (Basel) Article The fouling of indirect shell and coil heat exchanger by heavy whipping cream (HWC) and non-fat dry milk (NFDM) was studied at aseptic Ultra-High Temperature (UHT) processing conditions (140 °C) using a novel non-intrusive sensor. The sensor emitted a heat pulse intermittently throughout the duration of the process causing an incremental increase in temperature at the tube external surface. The temperature response of the sensor varied due to the radial growth of the fouling layer formed by certain components of the products. Each heating pulse and the temperature response was studied to estimate the thermal conductivity of the fouling layer using inverse problems and parameter estimation. The changes in thermal conductivity were used as an indication of the fouling layer development during food processing at UHT temperatures. The estimated parameters from experimental results showed a decreasing trend in the thermal conductivity of HWC and NFDM from 0.35 to 0.10 and 0.63 to 0.37, respectively. An image analysis tool was developed and used to measure the fouling layer thickness at the end of each trial. The measured thickness was found to be 0.58 ± 0.15 for HWC and 0.56 ± 0.07 mm for NFDM. The fouling layer resistance for HWC and NFDM was 5.95 × 10(−3) ± 1.53 × 10(−3) and 1.53 × 10(−3) ± 2.0 × 10(−4) (m(2)K)/W, respectively. MDPI 2021-02-10 /pmc/articles/PMC7916806/ /pubmed/33579051 http://dx.doi.org/10.3390/s21041271 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rivera, Fernando José Cantarero
Mishra, Dharmendra K
Ozadali, Ferhan
Benyathiar, Patnarin
Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title_full Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title_fullStr Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title_full_unstemmed Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title_short Real-Time Detection of Fouling-Layer with a Non-Intrusive Continuous Sensor (NICS) during Thermal Processing in Food Manufacturing
title_sort real-time detection of fouling-layer with a non-intrusive continuous sensor (nics) during thermal processing in food manufacturing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916806/
https://www.ncbi.nlm.nih.gov/pubmed/33579051
http://dx.doi.org/10.3390/s21041271
work_keys_str_mv AT riverafernandojosecantarero realtimedetectionoffoulinglayerwithanonintrusivecontinuoussensornicsduringthermalprocessinginfoodmanufacturing
AT mishradharmendrak realtimedetectionoffoulinglayerwithanonintrusivecontinuoussensornicsduringthermalprocessinginfoodmanufacturing
AT ozadaliferhan realtimedetectionoffoulinglayerwithanonintrusivecontinuoussensornicsduringthermalprocessinginfoodmanufacturing
AT benyathiarpatnarin realtimedetectionoffoulinglayerwithanonintrusivecontinuoussensornicsduringthermalprocessinginfoodmanufacturing