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接近红外的高光谱图像分析用于监测奶酪成熟过程

Masoumeh Alinaghi¹, David Nilsson², Nikita Singh²

¹Chemometrics Lab, Computational Life Science Cluster (CLiC), Umeå University, Umeå SE-901 87, Sweden; Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Vienna 1210, Austria.

Journal of dairy science

|August 29, 2023

概括

近红外高光谱成像提供了一种快速的方法,可以在成熟过程中监测奶酪的成熟度和质量. 这种技术有效地跟踪生化变化,确保一致的奶酪发育.

科学领域:

食品科学食品科学食品科学
分析化学分析化学
感官科学感官科学

背景情况:

奶酪成熟过程涉及复杂的生化变化,影响质量和感官属性.
监测这些变化至关重要,但由于多个同时发生的变化而具有挑战性.
传统的方法往往耗时,可能无法捕捉到成熟的完整画面.

研究的目的:

评估近红外高光谱 (NIR-HS) 成像作为监测长期成熟硬奶酪成熟期间生化和感官变化的工具.
为了将NIR-HS成像数据与自由氨基酸概况,化学成分和感官属性相关联.
通过像素化图像分析来评估奶酪成熟的同质性.

主要方法:

在各种成熟阶段收集了帕拉芬覆盖硬奶酪 (n=79) 的样本.
使用近红外高光谱 (NIR-HS) 成像来获取数据.
分析了自由氨基酸,化学成分 (脂肪,水分) 和感官属性.
应用基于直角投影的多变量校准方法用于数据分析.

主要成果:

NIR-HS成像被证明是监测奶酪成熟度的快速有效工具.
对NIR-HS图像的像素评估表明了奶酪成熟的同质性.
脂肪含量和水分被确定为最重要的化学变量,与成熟期间的NIR-HS图像相关.

结论:

NIR-HS成像是一种有价值的,非破坏性的技术,用于实时监测奶酪成熟.
该研究强调了与NIR-HS光谱数据相关的脂肪和水分含量的重要性.
这种方法有助于更好地控制奶酪制造过程,并确保产品质量的一致性.

关键词:

奶酪成熟的成熟过程自由的氨基酸是自由的氨基酸.一致性分布的一致性分布.接近红外的高光谱成像技术感官分析是一种感官分析.

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