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Autor(en) / Beteiligte
Titel
Discrimination of defective dry-cured Iberian ham determining volatile compounds by non-destructive sampling and gas chromatography
Ist Teil von
  • Food science & technology, 2022-01, Vol.154, p.112785, Article 112785
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2022
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • Evaluation of dry-cured Iberian ham quality is carried out by means of the sense of smell of experts and a percentage of these hams are discarded due to odour defects. However, hams in cellars cannot be altered by sampling because they would be devaluated, which makes instrumental analysis difficult. Thus, the aim of this work is to assess the potential of headspace gas chromatography coupled to ion mobility spectrometry (HS-GC-IMS) or mass spectrometry (HS-GC-MS) to discriminate defective Iberian hams using a non-destructive sampling. Fifty hams from pigs fed with acorns were sampled in a real industry setting and were classified according to their condition (defective or non-defective). Validated classification rates of 80% and 100% using partial least squares discriminant analysis were obtained with HS-GC-IMS and HS-GC-MS, respectively, demonstrating the potential of the instrumental methods tested, which can be seen as complementary to the traditional olfactory technique. Furthermore, the volatile profile of spoiled Iberian hams was also determined; on average, spoiled pieces showed higher values of nonanal and decanal. Besides that, formic acid was only detected in spoiled pieces. These results might lead to an easier discrimination of spoilage to guarantee the quality of Iberian hams on the market. •GC-MS and GC-IMS can identify defective dry-cured Iberian hams from non-defective.•Heptan-1-ol, octan-1-ol, nonanal and decanal can be markers for defective pieces.•Formic acid was only found in defective dry-cured Iberian hams.•Acetic acid was higher in non-defective dry-cured Iberian hams.•GC methods allow the smart detection of defective pieces in an industrial setting.
Sprache
Englisch
Identifikatoren
ISSN: 0023-6438
eISSN: 1096-1127
DOI: 10.1016/j.lwt.2021.112785
Titel-ID: cdi_crossref_primary_10_1016_j_lwt_2021_112785

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