Assessment of cellulose structural variety from different origins using near infrared spectroscopy
Assessment of cellulose structural variety from different origins using near infrared spectroscopy
复制标题
使用近红外光谱评估不同来源的纤维素结构多样性
DOI：
10.1007/s10570-017-1518-0
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发表时间：
2017
期刊：
影响因子：
5.7
通讯作者：
Horikawa Yoshiki
中科院分区：
文献类型：
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作者：
Horikawa Y;Hirano S;Mihashi A;Kobayashi Y;Zhai S;Sugiyama J;Horikawa Yoshiki
近红外（NIR）光谱作为纤维素功能的快速监测器进行了测试，通过分析结构上可区分的纤维素从不同的生物体，从原核生物到植物以及动物。最佳光谱区域首先确定使用晶内氘化，然后统计分析的基础上，通过主成分分析的二阶导数光谱。分数图根据晶体结构如相对结晶度和同质异晶性清楚地分布样品。这些特征和相应的加载因子为识别结构特性提供了关键的近红外吸收标准，特别是在6527和6383 cm−1处的谱带，分别对应于Iα和Iβ。此外，使用偏最小二乘回归建立了相对纤维素结晶度的校准模型，并使用6476-6446 cm-1处的简单吸收带位移建立了异形体比率的校准模型。来自各种生物的纤维素的近红外光谱与多变量分析相结合，可以用作简单和快速评估未知纤维素材料的数据库。
Near infrared (NIR) spectroscopy was tested as a rapid monitor of cellulose features by analyzing structurally distinguishable cellulose from different organisms ranging from Monera to Plantae as well as Animalia. The optimal spectral region was first identified using intra-crystalline deuteration, and then statistically analyzed based on second derivative spectra by principal component analysis. The score plots clearly distributed the samples according to crystalline structure such as relative crystallinity and allomorphism. These characteristics and the corresponding loading factors provided key NIR absorption criteria for identifying structural properties, especially in bands at 6527 and 6383 cm−1, which correspond to Iαand Iβ, respectively. In addition, calibration models were created for relative cellulose crystallinity using partial least square regression and for allomorph ratios using simple absorption band shifts at 6476–6446 cm−1. NIR spectra of cellulose from various organisms combined with multivariate analysis can be used as a database for simple and rapid assessment of unknown cellulose materials.