[1]陈延伟 何龙凉 杨怀军 李小琴.卡拉胶中杂质和水分含量的近红外光谱检测方法研究[J].大众科技,2020,22(10):37-39.
 Study on Near Infrared Spectroscopy Detection Method for Impurities and Moisture Content in Carrageenan[J].Popular Science & Technology,2020,22(10):37-39.
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卡拉胶中杂质和水分含量的近红外光谱 检测方法研究()
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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
22
期数:
2020年10
页码:
37-39
栏目:
出版日期:
2020-10-20

文章信息/Info

Title:
Study on Near Infrared Spectroscopy Detection Method for Impurities and Moisture Content in Carrageenan
作者:
陈延伟 何龙凉 杨怀军 李小琴
(中华人民共和国防城海关,广西 防城港 538001)
关键词:
近红外光谱卡拉胶杂质卡拉胶水分
Keywords:
near infrared spectroscopy carrageenan impurity carrageenan moisture
文献标志码:
A
摘要:
文章研究采用近红外光谱分析技术直接用于卡拉胶中灰分、水分的定量检测。通过近红外光谱仪扫描结合光谱预处理和模型优化方法建立分析模型,并分析其光谱相关性和可行性。结果表明,灰分的近红外光谱与其含量具有比较高的相关性,水分结果总体正常。总体来看,利用红外光谱分析技术来建立卡拉胶中理化参数的检测方法是可行的,并且该方法具有快速、无损、方便和环保的优点。
Abstract:
In this paper, near infrared spectroscopy (NIRS) was used to determine ash and moisture in carrageenan. The analysis model was established by near infrared spectrometer scanning combined with spectral pretreatment and model optimization, and the spectral correlation and feasibility were analyzed. The results showed that there was a high correlation between the near infrared spectrum of ash and its content, and the moisture content was normal. In general, the use of infrared spectrum analysis technology to establish the physical and chemical parameters in carrageenan detection method is feasible, and the method has the advantages of rapid, non-destructive, convenience and environmental protection.

参考文献/References:

[1] GB15044-2009,食品添加剂 卡拉胶[S]. 北京: 中华人民共和国国家质量监督检验检疫总局,2019. [2] 高荣强,范世福,严衍禄. 近红外光谱的数据预处理研究[J]. 光谱学与光谱分析,2004,24(12): 1563- 1565. [3] Fan S F. Analytical instrument[J]. Spectroscopy and Spactral Analysis, 1991(3): 1. [4] Lin Z, Fan S F. Spectroscopic instruments[M]. Beijing:Mechanical Industry Press, 1989. [5] 傅霞萍,应义斌,陆辉山,等. 应用多种近红外建模方法分析梨的坚实度[J]. 光谱学与光谱分析,2007,27(5): 911-915. [6] 侯成立,季海峰,张董燕,等. 近红外光谱模型的构建及其在饲料营养中的应用[A]. 中国畜牧兽医学会信息技术分会2011年学术研讨会[C]// 中国畜牧兽医学会信息技术分会,2011: 41-44. [7] 严衍禄,赵龙莲,韩东海,等. 近红外光谱分析基础与应用[M]. 北京: 中国轻工业出版社,2005. [8] FOSS. NIRS DA1650 Oilseed Crush Analyser [EB/OL]. https://www.fossanalytics.com/zh-cn/products/nirs-da1650- oilseed-crush-analyser, 2020-01-09. [9] Boiret M, Meunier L, Ginot Y M. Tablet potency of Tianeptine in coated tablets by near infrared spectroscopy: Model optimization, calibration transfer and confidence intervals[J]. Journal of Pharmaceutical and Biomedical Analysis, 2011, 54(3): 510-516. [10] Alvarenga L, Ferreira D, Altekruse D, et al. Tablet identification using near-infrared spectroscopy (NIRS) for pharmaceutical quality control[J]. Journal of Pharmaceutical and Biomedical Analysis, 2008, 48(1): 62-69.

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备注/Memo

备注/Memo:
【收稿日期】2020-08-12 【作者简介】陈延伟(1981-),男,广西合浦人,中华人民共和国防城海关工程师,CNAS见习评审员,从事食品及农产品检验、实验室管理的研究工作。 【通信作者】何龙凉(1985-),男,中华人民共和国防城海关工程师,CNAS见习评审员,从事食品及农产品检验、实验室管理的研究工作。
更新日期/Last Update: 2020-11-19