Eliminating Preparation of Multisample External Calibration Curves and Dilution of Study Samples Using the Multiple Isotopologue Reaction Monitoring (MIRM) Technique in Quantitative LC-MS/MS Bioanalysis

2019 ◽  
Vol 91 (13) ◽  
pp. 8652-8659 ◽  
Author(s):  
Huidong Gu ◽  
Yue Zhao ◽  
Marissa DeMichele ◽  
Naiyu Zheng ◽  
Yan J. Zhang ◽  
...  
Keyword(s):  
Reaction Monitoring ◽  
External Calibration ◽  
Calibration Curves

New External Calibration Curves (ECCs) for the Estimation of Molecular Weights in Various Common NMR Solvents

2016 ◽  
Vol 22 (25) ◽  
pp. 8462-8465 ◽  
Author(s):  
Sebastian Bachmann ◽  
Roman Neufeld ◽  
Martin Dzemski ◽  
Dietmar Stalke
Keyword(s):  
External Calibration ◽  
Molecular Weights ◽  
Calibration Curves

scholarly journals Accurate molecular weight determination of small molecules via DOSY-NMR by using external calibration curves with normalized diffusion coefficients

2015 ◽  
Vol 6 (6) ◽  
pp. 3354-3364 ◽  
Author(s):  
Roman Neufeld ◽  
Dietmar Stalke
Keyword(s):  
Molecular Weight ◽  
Small Molecules ◽  
Calibration Curve ◽  
Diffusion Coefficients ◽  
Molecular Weight Determination ◽  
External Calibration ◽  
Calibration Curves ◽  
External Calibration Curve ◽  
Dosy Nmr

We describe a novel development of MW-determination by using an external calibration curve approach with normalized diffusion coefficients.

Confounding contaminants in mass spectrometric reaction monitoring

2018 ◽  
Author(s):  
Gilian T. Thomas ◽  
Landon MacGillivray ◽  
Natalie L. Dean ◽  
Rhonda L. Stoddard ◽  
Lars Yunker ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometric ◽  
Negative Ion ◽  
Reaction Monitoring ◽  
Schlenk Flask ◽  
Dynamic Analyses ◽  
Rubber Septa ◽  
Negative Ion Mode ◽  
Mode A

<p>Reactions carried out in the presence of rubber septa run the risk of additives being leached out by the solvent. Normally, such species are present at low enough levels that they do not interfere with the reaction significantly. However, when studying reactions using sensitive methods such as mass spectrometry, the appearance of even trace amounts of material can confuse dynamic analyses of reactions. A wide variety of additives are present in rubber along with the polymer: antioxidants, dyes, detergent, and vulcanization agents, and these are all especially problematic in negative ion mode. A redesigned Schlenk flask for pressurized sample infusion (PSI) is presented as a means of practically eliminating the presence of contaminants during reaction analyses.</p>

External Calibration in PA12 Tube Extrusion

2006 ◽  
Vol 21 (1) ◽  
pp. 70-80 ◽  
Author(s):  
A. Carin ◽  
J.-M. Haudin ◽  
M. Vincent ◽  
B. Monasse ◽  
G. Bellet ◽  
...  
Keyword(s):  
External Calibration ◽  
Tube Extrusion

External Calibration in PA12 Tube Extrusion

2006 ◽  
Vol 21 (1) ◽  
pp. 70-80
Author(s):  
A. Carin ◽  
J.-M. Haudin ◽  
M. Vincent ◽  
B. Monasse ◽  
G. Bellet ◽  
...  
Keyword(s):  
External Calibration ◽  
Tube Extrusion

Prognostic nomogram to predict overall survival for patients with perihilar cholangiocarcinoma: A population-based study of SEER database (Preprint)

2020 ◽  
Author(s):  
Chendong Wang
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Survival Outcome ◽  
Perihilar Cholangiocarcinoma ◽  
Cox Regression Analysis ◽  
Calibration Curves ◽  
Tnm Staging System ◽  
Net Benefits

BACKGROUND Perihilar cholangiocarcinoma (pCCA) is a highly aggressive malignancy with poor prognosis. Accurate prediction is of great significance for patients’ survival outcome. OBJECTIVE The present study aimed to propose a prognostic nomogram for predicting the overall survival (OS) for patients with pCCA. METHODS We conducted a retrospective analysis in a total of 940 patients enrolled from the Surveillance, Epidemiology, and End Results (SEER) program and developed a nomogram based on the prognostic factors identified from the cox regression analysis. Concordance index (C-index), risk group stratification and calibration curves were adopted to test the discrimination and calibration ability of the nomogram with bootstrap method. Decision curves were also plotted to evaluate net benefits in clinical use against TNM staging system. RESULTS On the basis of multivariate analysis, five independent prognostic factors including age, summary stage, surgery, chemotherapy, together with radiation were selected and entered into the nomogram model. The C-index of the model was significantly higher than TNM system in the training set (0.703 vs 0.572, P<0.001), which was also proved in the validation set (0.718 vs 0.588, P<0.001). The calibration curves for 1-, 2-, and 3-year OS probabilities exhibited good agreements between the nomogram-predicted and the actual observation. Decision curves displayed that the nomogram obtained more net benefits than TNM staging system in clinical context. The OS curves of two distinct risk groups stratified by nomogram-predicted survival outcome illustrated statistical difference. CONCLUSIONS We established and validated an easy-to-use prognostic nomogram, which can provide more accurate individualized prediction and assistance in decision making for pCCA patients.

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