11 research outputs found
MOESM1 of Metabolomics analysis of serum in a rat heroin self-administration model undergoing reinforcement based on 1H-nuclear magnetic resonance spectra
Additional file 1: Figure S1. 1H NMR spectra. Figure S2. PCA model. Table S1. Correlation coefficients
NMR Method for Accurate Quantification of Polysorbate 80 Copolymer Composition
<sup>13</sup>C NMR spectroscopic
integration employing short relaxation
delays and a 30° pulse width was evaluated as a quantitative
tool for analyzing the components of polysorbate 80. <sup>13</sup>C NMR analysis revealed that commercial polysorbate 80 formulations
are a complex oligomeric mixture of sorbitan polyethoxylate esters
and other intermediates, such as isosorbide polyethoxylate esters
and polyÂ(ethylene glycol) (PEG) esters. This novel approach facilitates
the quantification of the component ratios. In this study, the ratios
of the three major oligomers in polysorbate 80 were measured and the
PEG series was found to be the major component of commercial polysorbate
80. The degree of polymerization of -CH<sub>2</sub>CH<sub>2</sub>O-
groups and the ratio of free to bonded -CH<sub>2</sub>CH<sub>2</sub>O- end groups, which correlate with the hydrophilic/hydrophobic nature
of the polymer, were analyzed, and were suggested to be key factors
for assessing the likelihood of adverse biological reactions to polysorbate
80. The <sup>13</sup>C NMR data suggest that the feed ratio of raw
materials and reaction conditions in the production of polysorbate
80 are not well controlled. Our results demonstrate that <sup>13</sup>C NMR is a universal, powerful tool for polysorbate analysis. Such
analysis is crucial for the synthesis of a high-quality product, and
is difficult to obtain by other methods
sj-pptx-5-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-5-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-8-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-8-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-1-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-1-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-4-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-4-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-2-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-2-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-docx-9-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-docx-9-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-7-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-7-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p
sj-pptx-6-cix-10.1177_11769351231161478 – Supplemental material for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues
Supplemental material, sj-pptx-6-cix-10.1177_11769351231161478 for RNA-seq and Single-Cell Transcriptome Analyses of TRAIL Receptors Gene Expression in Human Osteosarcoma Cells and Tissues by Wenyu Feng, Haiyingjie Lin, Emel Rothzerg, Dezhi Song, Wenxiang Zhao, Tingting Ning, Qingjun Wei, Jinmin Zhao, David Wood, Yun Liu and Jiake Xu in Cancer Informatics</p