In vivo prediction of the nutrient status of individual microalgal cells using Raman microspectroscopy
In vivo prediction of the nutrient status of individual microalgal cells using Raman microspectroscopy
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DOI：
10.1111/j.1574-6968.2007.00861.x
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发表时间：
2007-10-01
影响因子：
2.1
通讯作者：
Wood, Bayden R.
中科院分区：
文献类型：
--
作者：
Heraud, Philip;Beardall, John;Wood, Bayden R.
描述了一种利用拉曼显微光谱预测单个藻类细胞营养状况的体内方法。在780 nm激光激发下，细胞的拉曼光谱显示出叶绿素a和β -胡萝卜素的增强波段。在氮素限制下，叶绿素a和β -胡萝卜素条带的相对强度发生了变化，叶绿素a条带强度减弱，β -胡萝卜素条带更加突出。虽然富氮和缺氮细胞群体的光谱不同，但每种分布都足够明显，因此多元分类方法，如偏最小二乘判别分析，可以从拉曼光谱数据中准确预测细胞的营养状况。
An in vivo method for predicting the nutrient status of individual algal cells using Raman microspectroscopy is described. Raman spectra of cells using 780 nm laser excitation show enhanced bands mainly attributable to chlorophyll a and beta-carotene. The relative intensities of chlorophyll a and beta-carotene bands changed under nitrogen limitation, with chlorophyll a bands becoming less intense and beta-carotene bands more prominent. Although spectra from N-replete and N-starved cell populations varied, each distribution was distinct enough such that multivariate classification methods, such as partial least squares discriminant analysis, could accurately predict the nutrient status of the cells from the Raman spectral data.