THE USE OF NEAR INFRARED REFLECTANCE SPECTROMETRY FOR CHARACTERIZATION OF BROWN ALGAL TISSUE1

THE USE OF NEAR INFRARED REFLECTANCE SPECTROMETRY FOR CHARACTERIZATION OF BROWN ALGAL TISSUE1
复制标题

DOI:
10.1111/j.1529-8817.2010.00890.x
复制
发表时间:
2010-10-01
影响因子:
2.9
通讯作者:
Lovelock, Catherine E.
Lovelock, Catherine E.
中科院分区:
生物学3区
文献类型:
--
作者:
Hay, Kyra B.;Millers, Kimberley A.;Lovelock, Catherine E.

文献摘要

被引文献

相似文献

测量植物组织的质量特征对于了解植物如何响应环境变化和生物相互作用非常重要。近红外反射光谱法 (NIRS) 是一种经济、省时且样品有效的方法,用于测量农业和制药行业常用的有机样品中的化学成分。为了评估 NIRS 在测量褐藻中碳、氮和草单宁(次级代谢物)等生态重要组织特征方面的适用性,我们开发了干燥马尾藻 (F. K. Mertens) C. Agardh 组织中这些成分的 NIRS 校准模型。然后,我们测试了开发的 NIRS 模型是否可以检测由温度和营养可用性的实验操作引起的黄曲霉组织成分的变化。为了开发 NIRS 模型,我们使用偏最小二乘回归来确定实验室测定中确定的性状值与黄曲霉校准样品的 NIRS 光谱数据之间的统计关系。针对所有三种成分开发了具有高预测能力的模型,成功检测了实验操作的黄曲霉组织中碳、氮和叶皮单宁含量的变化。 S. flavicans 中的根皮单宁含量与氮可用性呈负相关,氮、温度和组织年龄相互作用显着影响根皮单宁含量,这证明了同时研究这三个变量的研究的重要性。鉴于分析速度、准确性、小组织要求以及在不消耗样品组织的情况下同时测量多个性状的能力,NIRS 是确定藻类组织性状的传统方法的一个有价值的替代方案,特别是在组织有限的研究中。
Measuring qualitative traits of plant tissue is important to understand how plants respond to environmental change and biotic interactions. Near infrared reflectance spectrometry (NIRS) is a cost-, time-, and sample-effective method of measuring chemical components in organic samples commonly used in the agricultural and pharmaceutical industries. To assess the applicability of NIRS to measure the ecologically important tissue traits of carbon, nitrogen, and phlorotannins (secondary metabolites) in brown algae, we developed NIRS calibration models for these constituents in dried Sargassum flavicans (F. K. Mertens) C. Agardh tissue. We then tested if the developed NIRS models could detect changes in the tissue composition of S. flavicans induced by experimental manipulation of temperature and nutrient availability. To develop the NIRS models, we used partial least squares regression to determine the statistical relationship between trait values determined in laboratory assays and the NIRS spectral data of S. flavicans calibration samples. Models with high predictive power were developed for all three constituents that successfully detected changes in carbon, nitrogen, and phlorotannin content in the experimentally manipulated S. flavicans tissue. Phlorotannin content in S. flavicans was inversely related to nitrogen availability, and nitrogen, temperature, and tissue age interacted to significantly affect phlorotannin content, demonstrating the importance of studies that investigate these three variables simultaneously. Given the speed of analysis, accuracy, small tissue requirements, and ability to measure multiple traits simultaneously without consuming the sample tissue, NIRS is a valuable alternative to traditional methods for determining algal tissue traits, especially in studies where tissue is limited.