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

You might also read

Related Articles

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

Sort by
Same author

Effect of Storage Temperature on Sliced Vacuum-Packed Dry-Cured Portuguese Sausage (<i>Painho de Porco Preto</i>).

Foods (Basel, Switzerland)·2026
Same author

A Heatmap-Based Risk-Benefit Assessment of Traditional and Processed Meat Products.

Foods (Basel, Switzerland)·2026
Same author

Effect of Harvest Date on Fruit Quality and Post-Harvest Storability of Three Different Peach Cultivars.

Foods (Basel, Switzerland)·2026
Same author

Correction: Fermented Food Consumption Across European Regions: Protocol for the Development and Validation of the Web-Based Fermented Foods Frequency Questionnaire (3FQ).

JMIR research protocols·2025
Same author

Fermented Food Consumption Across European Regions: Protocol for the Development and Validation of the Web-Based Fermented Foods Frequency Questionnaire (3FQ).

JMIR research protocols·2025
Same author

Characteristics of the Mare-Uterine-Culture-Based Bacterial Composition Using Practical Clinical Evaluation Methods.

Pathogens (Basel, Switzerland)·2025
Same journal

Impact of variety and environmental factors on proteolytic quality parameters of selected malting barley varieties.

Journal of the science of food and agriculture·2026
Same journal

Protect soil, water and food systems in conflict: a global policy imperative.

Journal of the science of food and agriculture·2026
Same journal

Development and application of novel acetylated starch-chitosan-oregano essential oil active extrudates for meat product microbiological preservation.

Journal of the science of food and agriculture·2026
Same journal

Does media reports on swine diseases improve the prediction accuracy of pork Price fluctuations? Evidence from China.

Journal of the science of food and agriculture·2026
Same journal

Impact of climate-induced compositional shifts of ethanol and acidity on aroma release and perception in red wine: a case study on γ-nonalactone and massoia lactone.

Journal of the science of food and agriculture·2026
Same journal

Sulfur dioxide delays quality deterioration by maintaining energy metabolism and mitochondrial structure in postharvest table grapes.

Journal of the science of food and agriculture·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

Combining Histochemical Staining and Image Analysis to Quantify Starch in the Ovary Primordia of Sweet Cherry during Winter Dormancy
07:25

Combining Histochemical Staining and Image Analysis to Quantify Starch in the Ovary Primordia of Sweet Cherry during Winter Dormancy

Published on: March 20, 2019

6.3K

Methods for quality evaluation of sweet cherry.

Sara Ricardo-Rodrigues1, Marta Laranjo1, Ana Cristina Agulheiro-Santos1,2

  • 1MED-Mediterranean Institute for Agriculture, Environment and Development, IIFA - Instituto de Investigação e Formação Avançada, Universidade de Évora, Évora, Portugal.

Journal of the Science of Food and Agriculture
|July 23, 2022
PubMed
Summary
This summary is machine-generated.

Standardizing sweet cherry quality evaluation methods is crucial for the entire supply chain. This review clarifies parameters and discusses non-destructive techniques like near-infrared spectroscopy (NIRS) for better communication and fruit preservation.

Keywords:
NIRScoloursensory analysissoluble solids content (SSC)texturetitratable acidity

More Related Videos

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.7K
Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
05:29

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

3.9K

Related Experiment Videos

Last Updated: Sep 3, 2025

Combining Histochemical Staining and Image Analysis to Quantify Starch in the Ovary Primordia of Sweet Cherry during Winter Dormancy
07:25

Combining Histochemical Staining and Image Analysis to Quantify Starch in the Ovary Primordia of Sweet Cherry during Winter Dormancy

Published on: March 20, 2019

6.3K
Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.7K
Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
05:29

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

3.9K

Area of Science:

  • Horticulture
  • Food Science
  • Agricultural Engineering

Background:

  • Sweet cherry (Prunus avium L.) is a high-value fruit with quality assessed by physical, chemical, and nutritional parameters.
  • Consumer demand for functional and nutritional compounds drives quality assessments.
  • Current quality evaluation methodologies vary across the sweet cherry supply chain.

Purpose of the Study:

  • To clarify and establish standardized quality evaluation parameters and methodologies for sweet cherries.
  • To promote clear communication among stakeholders in the cherry supply chain.
  • To discuss the application of near-infrared spectroscopy (NIRS) for non-destructive quality assessment.

Main Methods:

  • Review of existing literature and common methodologies for cherry quality evaluation.
  • Survey of cherry researchers and producers within COST Action FA1104.
  • Discussion of near-infrared spectroscopy (NIRS) for non-destructive analysis.

Main Results:

  • Identified key quality parameters: calibre, colour, texture, soluble solids content (SSC), titratable acidity (TA), and maturity indices.
  • Highlighted the need for standardized methodologies for consistent quality assessment.
  • NIRS shows potential as a rapid, non-destructive method for evaluating certain cherry quality traits.

Conclusions:

  • Standardization of quality parameters and methodologies is essential for preserving sweet cherries and extending shelf-life.
  • Improved communication through standardized methods will enhance the value of the entire cherry supply chain.
  • Recommendations for future research include defining optimal sample sizes and test selections for quality evaluation.