---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Imke
      foaf_name: Weishaupt, Imke
      foaf_surname: Weishaupt
      foaf_workInfoHomepage: http://www.librecat.org/personId=58425
  - foaf_Person:
      foaf_givenName: Peter
      foaf_name: Neubauer, Peter
      foaf_surname: Neubauer
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: Schneider, Jan
      foaf_surname: Schneider
      foaf_workInfoHomepage: http://www.librecat.org/personId=13209
    orcid: 0000-0001-6401-8873
  bibo_doi: ' https://doi.org/10.1002/fsn3.2709'
  bibo_issue: '3'
  bibo_volume: 10
  dct_date: 2022^xs_gYear
  dct_identifier:
  - UT:000739093400001
  dct_isPartOf:
  - http://id.crossref.org/issn/2048-7177
  dct_language: eng
  dct_publisher: Wiley@
  dct_subject:
  - flash pasteurization
  - fruit juice characterization and classification
  - inline near-infrared spectroscopy
  - multivariate data analysis
  dct_title: Near-infrared spectroscopy for the inline classification and characterization
    of fruit juices for a product-customized flash pasteurization@
  fabio_hasPubmedId: '35311170'
...