利用傅立叶变换中红外光谱和传统机器学习算法快速检测骆驼奶中的矿物质含量并进行光谱特征分析

IF 5.6 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control Pub Date : 2024-10-30 DOI:10.1016/j.foodcont.2024.110983

Yongqing Li , Yikai Fan , Jingyi Gao , Li Liu , Lijun Cao , Bo Hu , Zunongjiang Abula , Yeerlan Xieermaola , Haitong Wang , Chu Chu , Zhuo Yang , Guochang Yang , Peipei Wen , Dongwei Wang , Wenxin Zheng , Shujun Zhang

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引用次数: 0

摘要

驼奶含有丰富的营养成分和生物活性因子，矿物质含量一般高于牛奶，但目前国际上还没有成熟的矿物质含量快速批量检测方法。本研究从中国新疆的 113 个地点采集了骆驼奶样品。根据 ICP-OES（电感耦合等离子体光学发射光谱）测定的矿物质真实值和提取的中红外光谱数据，利用傅立叶变换中红外光谱（FT-MIRS）和传统的机器学习算法部分最小二乘回归，在国际上首次建立了 10 种关键矿物质（Ca、Fe、K、Mg、Mn、Na、P、Sr、Zn 和 Se）的定量预测模型。测试集的 Rt2 为 0.61 至 0.91，RMSEt 为 2.21ug/kg(Se) 至 197.08 mg/kg(K)，RPDt 为 1.59 至 3.28。此外，还总结了骆驼奶中矿物质相关特征波数的分布、模式和相关性。这项研究为快速检测骆驼奶中的矿物质开辟了一条新途径，填补了利用傅立叶变换红外光谱检测骆驼奶中矿物质含量的研究空白。

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Rapid detection and spectroscopic feature analysis of mineral content in camel milk using fourier-transform mid-infrared spectroscopy and traditional machine learning algorithms

Camel milk is rich in nutrients and bioactive factors, with mineral content generally higher than that of cow milk, but there is currently no internationally established, rapid, batch-testing method for the mineral content. This study collected samples of camel milk from 113 locations in Xinjiang, China. For the first time internationally, based on the true mineral values determined by ICP-OES (Inductively Coupled Plasma Optical Emission Spectroscopy) and the extracted mid-infrared spectra data, a quantitative prediction model for 10 key minerals (Ca, Fe, K, Mg, Mn, Na, P, Sr, Zn, and Se) was established using Fourier-Transform Mid-Infrared Spectroscopy (FT-MIRS) and the traditional machine learning algorithm Partial Least Squares Regression. The R_t² of the test set ranged from 0.61 to 0.91, RMSE_t ranged from 2.21ug/kg(Se) to 197.08 mg/kg(K) and the RPD_t from 1.59 to 3.28. In addition, the distribution, patterns, and correlations of mineral-related characteristic wavenumbers in camel milk were summarized. This study opens a new avenue for the rapid detection of minerals in camel milk and fills the research gap in in using FT-MIRS to detect mineral content in camel milk.

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来源期刊

Food Control 工程技术-食品科技

CiteScore

12.20

自引率

6.70%

发文量

758

审稿时长

33 days

期刊介绍： Food Control is an international journal that provides essential information for those involved in food safety and process control. Food Control covers the below areas that relate to food process control or to food safety of human foods: • Microbial food safety and antimicrobial systems • Mycotoxins • Hazard analysis, HACCP and food safety objectives • Risk assessment, including microbial and chemical hazards • Quality assurance • Good manufacturing practices • Food process systems design and control • Food Packaging technology and materials in contact with foods • Rapid methods of analysis and detection, including sensor technology • Codes of practice, legislation and international harmonization • Consumer issues • Education, training and research needs. The scope of Food Control is comprehensive and includes original research papers, authoritative reviews, short communications, comment articles that report on new developments in food control, and position papers.