Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

927
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
927
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

1.6K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.6K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.1K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.1K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

43.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.1K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

5.5K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
5.5K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

516
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
516

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Apparent Strongyloides infection in a child with an inborn error of immunity evaluated for dupilumab therapy.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026
Same author

Outbreak of Candida viswanathii bloodstream infections due to drug contamination in an Italian children's hospital (April-October 2025).

Journal of the Pediatric Infectious Diseases Society·2026
Same author

Case Report: High-dose pregabalin ingestion in an adolescent: clinical course and serial plasma concentrations.

Frontiers in toxicology·2026
Same author

Epidemiological trends of multidrug-resistant organisms in a tertiary-care pediatric hospital, 2017-2023.

Italian journal of pediatrics·2026
Same author

Early and high Influenza A circulation alongside reduced Respiratory Syncytial Virus prevalence during autumn 2025 in paediatric patients attending emergency department.

Italian journal of pediatrics·2026
Same author

Expanding Diagnostic Options for Pediatric Meningitis: BCID2 Testing Results on Cerebrospinal Fluid After a Negative Meningitis/Encephalitis Panel.

Antibiotics (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jan 24, 2026

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings
04:16

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings

Published on: February 7, 2025

857

A Modified Holder Pasteurization Method for Donor Human Milk: Preliminary Data.

Teresa Capriati1, Bianca Maria Goffredo2, Marta Argentieri3

  • 1Artificial Nutrition Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza Sant'Onofrio 4, 00165 Rome, Italy. teresa.capriati@opbg.net.

Nutrients
|May 25, 2019
PubMed
Summary

A new modified Holder pasteurization (MHoP) method for donor human milk (DHM) shows similar nutritional and microbiological safety compared to standard HoP. MHoP offers practical advantages, being time-saving and potentially cost-effective.

Keywords:
donor human milkholder pasteurizationhuman milk bank

More Related Videos

A Method for Targeted 16S Sequencing of Human Milk Samples
09:09

A Method for Targeted 16S Sequencing of Human Milk Samples

Published on: March 23, 2018

10.3K
Enrichment of Bruch's Membrane from Human Donor Eyes
10:22

Enrichment of Bruch's Membrane from Human Donor Eyes

Published on: November 15, 2015

12.5K

Related Experiment Videos

Last Updated: Jan 24, 2026

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings
04:16

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings

Published on: February 7, 2025

857
A Method for Targeted 16S Sequencing of Human Milk Samples
09:09

A Method for Targeted 16S Sequencing of Human Milk Samples

Published on: March 23, 2018

10.3K
Enrichment of Bruch's Membrane from Human Donor Eyes
10:22

Enrichment of Bruch's Membrane from Human Donor Eyes

Published on: November 15, 2015

12.5K

Area of Science:

  • Food Science
  • Microbiology
  • Human Milk Research

Background:

  • Holder pasteurization (HoP) is the standard for donor human milk (DHM).
  • A novel modified HoP (MHoP) technique was developed to potentially improve efficiency.
  • This study evaluates the impact of MHoP on DHM's nutritional and microbiological quality.

Purpose of the Study:

  • To compare the nutritional and microbiological effects of MHoP versus standard HoP on DHM.
  • To assess the preservation of key nutrients like calcium, triglycerides, and amino acids.
  • To evaluate the microbiological safety conferred by MHoP.

Main Methods:

  • Donor human milk samples (n=25) were divided into three groups: unpasteurized, HoP, and MHoP.
  • Nutritional analysis included calcium and triglyceride levels (spectrophotometry) and amino acids (HPLC).
  • Microbiological profiles were assessed for all aliquots.

Main Results:

  • Pasteurization by HoP and MHoP significantly reduced triglyceride levels compared to unpasteurized milk.
  • Calcium and amino acid concentrations remained similar across all pasteurization methods.
  • No significant differences in microbiological profiles were observed between HoP and MHoP.

Conclusions:

  • Both HoP and MHoP demonstrate comparable efficacy in maintaining essential nutritional components and microbiological safety in DHM.
  • MHoP presents a time-saving and potentially cost-effective alternative to HoP.
  • MHoP warrants further investigation for practical implementation in DHM processing.