---
_id: '5425'
abstract:
- lang: eng
  text: The feasibility of inline classification and characterization of seven fruit
    juice varieties was investigated by the application of near-infrared spectroscopy
    (NIRS) combined with chemometrics. The findings are intended to be used to optimize
    the flash pasteurization of liquid foods. More precise information of the kind
    of product in real time had to be achieved to enable a more product-specific process.
    Using the method of partial least squares discriminant analysis, the fruit juice
    varieties were classified, showing a classification rate of 100% regarding an
    internal and 69% regarding an external test sets. A characterization by the extract
    content, pH value, turbidity, and viscosity was made by fitting a partial least
    squares regression model. The percentage prediction error of the pH value was
    <3% for internal and external test sets, and for the Brix value prediction errors
    were about 4% (internal) and 20% (external). The parameters viscosity and turbidity
    were found to be unsuitable. Despite this, the strategy applied to gain more product-specific
    information in real time showed to be feasible. By linking the results to a database
    containing potentially harmful microorganisms for various types of fruit juices,
    a more product-specific calculation of the necessary heat input can be performed.
    To demonstrate the practical relevance, a comparison between conventional and
    product-adapted process control was performed using two fruit varieties as examples
    in case of Alicyclobacillus acidoterrestris. Thus, with more accurate product
    information, achieved through the use of NIRS with chemometrics, a more precise
    calculation of the heat input can be achieved.
author:
- first_name: Imke
  full_name: Weishaupt, Imke
  id: '58425'
  last_name: Weishaupt
- first_name: Peter
  full_name: Neubauer, Peter
  last_name: Neubauer
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
citation:
  ama: Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline
    classification and characterization of fruit juices for a product-customized flash
    pasteurization. <i>Food Science &#38; Nutrition</i>. 2022;10(3):800-812. doi:<a
    href="https://doi.org/ https://doi.org/10.1002/fsn3.2709"> https://doi.org/10.1002/fsn3.2709</a>
  apa: Weishaupt, I., Neubauer, P., &#38; Schneider, J. (2022). Near-infrared spectroscopy
    for the inline classification and characterization of fruit juices for a product-customized
    flash pasteurization. <i>Food Science &#38; Nutrition</i>, <i>10</i>(3), 800–812.
    <a href="https://doi.org/ https://doi.org/10.1002/fsn3.2709">https://doi.org/
    https://doi.org/10.1002/fsn3.2709</a>
  bjps: <b>Weishaupt I, Neubauer P and Schneider J</b> (2022) Near-Infrared Spectroscopy
    for the Inline Classification and Characterization of Fruit Juices for a Product-Customized
    Flash Pasteurization. <i>Food Science &#38; Nutrition</i> <b>10</b>, 800–812.
  chicago: 'Weishaupt, Imke, Peter Neubauer, and Jan Schneider. “Near-Infrared Spectroscopy
    for the Inline Classification and Characterization of Fruit Juices for a Product-Customized
    Flash Pasteurization.” <i>Food Science &#38; Nutrition</i> 10, no. 3 (2022): 800–812.
    <a href="https://doi.org/ https://doi.org/10.1002/fsn3.2709">https://doi.org/
    https://doi.org/10.1002/fsn3.2709</a>.'
  chicago-de: 'Weishaupt, Imke, Peter Neubauer und Jan Schneider. 2022. Near-infrared
    spectroscopy for the inline classification and characterization of fruit juices
    for a product-customized flash pasteurization. <i>Food Science &#38; Nutrition</i>
    10, Nr. 3: 800–812. doi:<a href="https://doi.org/ https://doi.org/10.1002/fsn3.2709">
    https://doi.org/10.1002/fsn3.2709</a>, .'
  din1505-2-1: '<span style="font-variant:small-caps;">Weishaupt, Imke</span> ; <span
    style="font-variant:small-caps;">Neubauer, Peter</span> ; <span style="font-variant:small-caps;">Schneider,
    Jan</span>: Near-infrared spectroscopy for the inline classification and characterization
    of fruit juices for a product-customized flash pasteurization. In: <i>Food Science
    &#38; Nutrition</i> Bd. 10, Wiley (2022), Nr. 3, S. 800–812'
  havard: I. Weishaupt, P. Neubauer, J. Schneider, Near-infrared spectroscopy for
    the inline classification and characterization of fruit juices for a product-customized
    flash pasteurization, Food Science &#38; Nutrition. 10 (2022) 800–812.
  ieee: 'I. Weishaupt, P. Neubauer, and J. Schneider, “Near-infrared spectroscopy
    for the inline classification and characterization of fruit juices for a product-customized
    flash pasteurization,” <i>Food Science &#38; Nutrition</i>, vol. 10, no. 3, pp.
    800–812, 2022, doi: <a href="https://doi.org/ https://doi.org/10.1002/fsn3.2709">
    https://doi.org/10.1002/fsn3.2709</a>.'
  mla: Weishaupt, Imke, et al. “Near-Infrared Spectroscopy for the Inline Classification
    and Characterization of Fruit Juices for a Product-Customized Flash Pasteurization.”
    <i>Food Science &#38; Nutrition</i>, vol. 10, no. 3, 2022, pp. 800–12, <a href="https://doi.org/
    https://doi.org/10.1002/fsn3.2709">https://doi.org/ https://doi.org/10.1002/fsn3.2709</a>.
  short: I. Weishaupt, P. Neubauer, J. Schneider, Food Science &#38; Nutrition 10
    (2022) 800–812.
  ufg: '<b>Weishaupt, Imke/Neubauer, Peter/Schneider, Jan</b>: Near-infrared spectroscopy
    for the inline classification and characterization of fruit juices for a product-customized
    flash pasteurization, in: <i>Food Science &#38; Nutrition</i> 10 (2022), H. 3, 
    S. 800–812.'
  van: Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline
    classification and characterization of fruit juices for a product-customized flash
    pasteurization. Food Science &#38; Nutrition. 2022;10(3):800–12.
date_created: 2021-04-08T06:37:30Z
date_updated: 2025-06-26T13:32:36Z
department:
- _id: DEP4000
- _id: DEP1308
doi: ' https://doi.org/10.1002/fsn3.2709'
external_id:
  isi:
  - '000739093400001'
  pmid:
  - '35311170'
intvolume: '        10'
isi: '1'
issue: '3'
keyword:
- flash pasteurization
- fruit juice characterization and classification
- inline near-infrared spectroscopy
- multivariate data analysis
language:
- iso: eng
page: 800-812
pmid: '1'
publication: Food Science & Nutrition
publication_identifier:
  issn:
  - 2048-7177
publication_status: published
publisher: Wiley
status: public
title: Near-infrared spectroscopy for the inline classification and characterization
  of fruit juices for a product-customized flash pasteurization
type: journal_article
user_id: '83781'
volume: 10
year: '2022'
...