LUO Feng, LU Xiao-xiang, ZHANG Peng, CHEN Shao-hui, LI Jiang-kuo. Cherry brittleness near infrared detection in the process of brittle in cold storage[J]. Science and Technology of Food Industry, 2015, (17): 295-299. DOI: 10.13386/j.issn1002-0306.2015.17.052
Citation: LUO Feng, LU Xiao-xiang, ZHANG Peng, CHEN Shao-hui, LI Jiang-kuo. Cherry brittleness near infrared detection in the process of brittle in cold storage[J]. Science and Technology of Food Industry, 2015, (17): 295-299. DOI: 10.13386/j.issn1002-0306.2015.17.052

Cherry brittleness near infrared detection in the process of brittle in cold storage

  • Near infrared spectrum technology was used to establish relative issues on the process of the refrigerated cherry fruit brittle model by using sand cherry honey beans as material.The research was carried out to discuss the different pretreatments of calibration model by using pericarp brittleness as the evaluation index under the range from 408.8 nm to 2492.8 nm of full spectrum. The results showed that the best pretreatment was the combination of MPLS and D only.Datas were analyzed: the calibration error SEC = 3.6144,R2cv= 0.9903,RPD = 3.3.It is concluded that near infrared spectroscopy is feasible to measure pericarp brittleness in cherries during refrigeration.
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