UV–vis absorbance spectra, molar extinction coefficients and circular dichroism spectra for the two cyanobacterial metabolites anabaenopeptin A and anabaenopeptin B

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-15 DOI:10.1016/j.dib.2024.110914
Till Steiner , Franziska Schanbacher , Wolfram Lorenzen , Heike Enke , Elisabeth M.-L. Janssen , Timo H.J. Niedermeyer , Karl Gademann
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Abstract

The UV–vis absorbance spectra, molar extinction coefficients and circular dichroism spectra, as well as NMR and high resolution tandem mass spectrometry spectra were determined for two prominent secondary metabolites from cyanobacteria, namely anabaenopeptin A and anabaenopeptin B. The compounds were extracted from the cyanobacterium Planktothrix rubescens CBT929 and purified by flash chromatography and HPLC. Exact amounts of isolated compounds were assessed by quantitative 1H-NMR with internal calibrant ethyl 4-(dimethylamino)benzoate in DMSO‑d6 at 298 K with a recycle delay (d1) of 120 s. UV–vis absorbance spectra were recorded in methanol at room temperature. Molar extinction coefficients were determined at 278 nm as 4190 M−1 cm−1 and 2300 M−1 cm−1 in methanol for anabaenopeptin A and anabaenopeptin B, respectively. Circular dichroism spectra and secondary fragmentation mass spectra are also reported.
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两种蓝藻代谢物anabaenopeptin A和anabaenopeptin B的紫外-可见吸光度光谱、摩尔消光系数和圆二色光谱
从蓝藻 Planktothrix rubescens CBT929 中提取了这两种化合物,并通过闪蒸色谱法和高效液相色谱法进行了纯化。分离出的化合物的确切数量是通过 1H-NMR 定量评估的,1H-NMR 以 DMSO-d6 中的 4-(二甲基氨基)苯甲酸乙酯为内部校准物,在 298 K 温度下进行,循环延迟(d1)为 120 秒。在 278 纳米波长下测定的摩尔消光系数分别为 4190 M-1 cm-1 和 2300 M-1 cm-1。此外,还报告了圆二色性光谱和二次碎片质谱。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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