---
_id: '6839'
abstract:
- lang: eng
text: 'Pasteurization is a crucial processing method in the food industry to ensure
the safety of consumables. A major part of contemporary pasteurization processes
involves using flash pasteurizer systems, where liquids are pumped through a pipe
system to heat them for a predefined time. Accurately monitoring the amount of
heat treatment applied to a product is challenging. This monitoring helps ensure
that the correct heat impact (expressed in pasteurization units) is applied, which
is commonly calculated as a product of time and temperature, taking achievability
of the inactivation of the microorganisms into account. The state-of-the-art method
involves a calculation of the applied pasteurization units using a one-point temperature
measurement and the holding time for this temperature. Concerns about accuracy
lead to high safety margins, reducing the quality of the pasteurized product.
In this study, the applied pasteurization level was estimated using regression
models trained with NIR spectroscopy data collected while pasteurizing fruit juices
of different types and brands. Several conventional regression models were trained
in combination with different preprocessing methods, including a novel prediction
outlier detection method. Generalized juice models trained with the concatenated
data of all types of juices demonstrated cross-validated scores of RMSECV ∼2.78
± 0.09 and r2 0.96 ± 0.01, while separate juice models displayed
averaged cross-validated scores of RMSECV ∼1.56 ± 0.04 and r2
0.98 ± 0.01. Thus, the model accuracy ±10–30 % is well within the standard safety
margins. '
author:
- first_name: Baris Gün
full_name: Sürmeli, Baris Gün
id: '73806'
last_name: Sürmeli
- first_name: Imke
full_name: Weishaupt, Imke
id: '58425'
last_name: Weishaupt
- first_name: Knut
full_name: Schwarzer, Knut
id: '13329'
last_name: Schwarzer
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control
in flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339-351.
doi:10.1177/09670335211057233
apa: Sürmeli, B. G., Weishaupt, I., Schwarzer, K., Moriz, N., & Schneider, J.
(2021). Heat impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy,
29(6), 339–351. https://doi.org/10.1177/09670335211057233
bjps: Sürmeli BG et al. (2021) Heat Impact Control in Flash Pasteurization
by Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.
Journal of Near Infrared Spectroscopy 29, 339–351.
chicago: 'Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz, and
Jan Schneider. “Heat Impact Control in Flash Pasteurization by Estimation of Applied
Pasteurization Units Using near Infrared Spectroscopy.” Journal of Near Infrared
Spectroscopy 29, no. 6 (2021): 339–51. https://doi.org/10.1177/09670335211057233.'
chicago-de: 'Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz und
Jan Schneider. 2021. Heat impact control in flash pasteurization by estimation
of applied pasteurization units using near infrared spectroscopy. Journal of
Near Infrared Spectroscopy 29, Nr. 6: 339–351. doi:10.1177/09670335211057233,
.'
din1505-2-1: 'Sürmeli, Baris Gün ;
Weishaupt, Imke ; Schwarzer,
Knut ; Moriz, Natalia ; Schneider, Jan: Heat impact control in
flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. In: Journal of Near Infrared Spectroscopy Bd. 29,
Sage Publishing (2021), Nr. 6, S. 339–351'
havard: B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Heat impact
control in flash pasteurization by estimation of applied pasteurization units
using near infrared spectroscopy, Journal of Near Infrared Spectroscopy. 29 (2021)
339–351.
ieee: 'B. G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, and J. Schneider, “Heat
impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy,” Journal of Near Infrared Spectroscopy,
vol. 29, no. 6, pp. 339–351, 2021, doi: 10.1177/09670335211057233.'
mla: Sürmeli, Baris Gün, et al. “Heat Impact Control in Flash Pasteurization by
Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.”
Journal of Near Infrared Spectroscopy, vol. 29, no. 6, 2021, pp. 339–51,
https://doi.org/10.1177/09670335211057233.
short: B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Journal
of Near Infrared Spectroscopy 29 (2021) 339–351.
ufg: 'Sürmeli, Baris Gün u. a.: Heat impact control in flash pasteurization
by estimation of applied pasteurization units using near infrared spectroscopy,
in: Journal of Near Infrared Spectroscopy 29 (2021), H. 6, S. 339–351.'
van: Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control
in flash pasteurization by estimation of applied pasteurization units using near
infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339–51.
date_created: 2021-11-30T12:39:27Z
date_updated: 2025-06-26T13:35:56Z
department:
- _id: DEP5023
- _id: DEP4028
doi: 10.1177/09670335211057233
external_id:
isi:
- '000726007200001'
intvolume: ' 29'
isi: '1'
issue: '6'
keyword:
- Beverage pasteurization
- heat impact control
- prediction outlier elimination
language:
- iso: eng
page: 339-351
publication: Journal of Near Infrared Spectroscopy
publication_identifier:
eissn:
- 1751-6552
issn:
- 0967-0335
publication_status: published
publisher: Sage Publishing
status: public
title: Heat impact control in flash pasteurization by estimation of applied pasteurization
units using near infrared spectroscopy
type: journal_article
user_id: '83781'
volume: 29
year: '2021'
...