Related Experiment Video

Updated: Jan 21, 2026

A Package of Established Analytical Tools to Investigate the Solid-State Alteration of Lipid-Based Excipients
11:27

A Package of Established Analytical Tools to Investigate the Solid-State Alteration of Lipid-Based Excipients

Published on: August 9, 2022

2.5K

Excipient-excipient interactions in the development of nanocarriers: an innovative statistical approach for

Viviane Lucia Beraldo-de-Araújo1,2, Anderson Beraldo-de-Araújo3, Juliana Souza Ribeiro Costa4,5

  • 1Department of Biochemistry and Tissue Biology, Biology Institute, State University of Campinas, Brazil, Rua Monteiro Lobato, 255, Campinas, SP, 13083-862, Brazil. vivi.beraldo@gmail.com.

Scientific Reports
|July 26, 2019
PubMed

More Related Videos

Mass Spectrometric Approaches to Study Protein Structure and Interactions in Lyophilized Powders11:14

Mass Spectrometric Approaches to Study Protein Structure and Interactions in Lyophilized Powders

Published on: April 14, 2015

16.9K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.3K

Related Concept Videos

Pharmaceutical Alternatives: Excipients and Impurities-Related Therapeutic Nonequivalence01:19

Pharmaceutical Alternatives: Excipients and Impurities-Related Therapeutic Nonequivalence

Pharmaceutical products contain more than just the active drug; they also contain various excipients such as binders, solubilizers, stabilizers, preservatives, and other elements. In some cases, impurities or contaminants might be present. Traditionally, quality control in pharmaceuticals has primarily focused on the analysis of the active drug, often overlooking the impact of these additional components. The recent issue with heparin contamination by over-sulfated chondroitin sulfate, a...
176
Statistical Significance01:50

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.1K
Probability in Statistics01:14

Probability in Statistics

Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
22.3K
Introduction to Statistics01:17

Introduction to Statistics

The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
62.2K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
15.3K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.2K