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Use of computed tomography to study raw ham properties and predict salt content and distribution during dry-cured ham production

机译:使用计算机断层扫描来研究生火腿的性质并预测干腌火腿生产过程中的盐含量和分布

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摘要

Varying salt content in hams of equal brand is a major challenge for Norwegian dry-cured ham producers. This study was thus undertaken to test existing computed tomography (CT) calibration models for salt on entire hams, regarding predictability of salt content at different processing times including final ham and to study salt distribution during processing of dry-cured ham. Twenty-six hams were scanned by computed tomography (CT) 11 times during dry-curing for this purpose. However, previously established calibration models had to be adjusted as they overestimated salt in dry samples. Prediction of ultimate salt content was more accurate approaching the end of the dry-curing process (RMSEP = 0.351-0.595% salt). Inclusion of remaining weight loss improved the prediction accuracy in un-dried samples by approximately 0.1% NaCl. The prediction errors were sufficiently low to be of practical interest.
机译:对于挪威干腌火腿生产商来说,改变同等品牌火腿的含盐量是一项重大挑战。因此,进行了这项研究,以测试整个火腿上盐的计算机断层扫描(CT)校准模型,有关包括最终火腿在内的不同加工时间下盐含量的可预测性,并研究干腌火腿加工期间的盐分布。为此,在干固化过程中通过计算机断层扫描(CT)扫描了26个火腿11次。但是,先前建立的校准模型必须调整,因为它们高估了干燥样品中的盐分。最终盐含量的预测在干固化过程即将结束时更为准确(RMSEP = 0.351-0.595%盐)。包含剩余重量损失可将未干燥样品的预测准确性提高约0.1%NaCl。预测误差足够低以至于没有实际意义。

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