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用MIR光谱数据预测牛奶成分的化学测量技术:一篇综述

Josefina Barrera Morelli¹, Cushla McGoverin², Michel Nieuwoudt³

¹School of Chemical Sciences, The University of Auckland, 23 Symonds St., Auckland 1142, New Zealand; Te Pūnaha Matatini, Auckland, 1142, New Zealand; MacDiarmid Institute for Advanced Materials and Nanotechnology, New Zealand; The Dodd Walls Centre for Photonic and Quantum Technologies, New Zealand.

|December 26, 2024

概括

化学测量,使用统计模型进行复杂的化学分析,正在进步. 新方法在改善牛奶成分预测准确度方面表现有前途,超出了传统技术.

科学领域:

化学测量和分析化学应用于食品科学.

背景情况:

准确的牛奶成分分析对乳制品行业至关重要.
中红外光谱与化学测量相结合,是评估牛奶成分的关键技术.
人们对乳制品详细分析和先进的统计方法越来越感兴趣.

研究的目的:

审查和比较牛奶成分分析的化学测量技术.
评估新兴技术与既定方法,如部分最小平方回归.
为未来牛奶分析研究提供建议.

主要方法:

对用于牛奶成分研究的化学测量技术的审查.
使用各种统计方法对预测模型准确性的比较.
重点是新兴技术及其相对于部分最小平方回归的表现.

主要成果:

化学测量技术提供了强大的方法来表征复杂的牛奶样本.
新兴技术显示出提高牛奶成分分析预测准确性的潜力.
部分最小平方回归仍然是一个基准,但新的方法显示出竞争力或优异的性能.

结论:

化学测量对于理解和预测牛奶成分至关重要.
统计建模和光谱学的进步正在不断提高乳制品行业的分析能力.
未来的研究应该专注于验证和实施用于增强乳制品分析的新型化学测量方法.

关键词:

校准校准校准校准校准校准化学测量化学测量化学测量中红外光谱学中红外光谱学.牛奶的成分牛奶的成分预测预测预测频谱预处理频谱预处理

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