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

Variability: Analysis01:11

Variability: Analysis

165
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
165
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.5K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.5K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

447
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
447
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.6K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.6K
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

494
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
494
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

854
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
854

You might also read

Related Articles

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

Sort by
Same author

Shedding Light on the Past: Temporal Classification of Zoological Specimens from Museum Collections with Portable NIR Sensors and Multivariate Error Modeling.

Analytical chemistry·2026
Same author

Plausible Obesity-Related Chronometabolic and Nutrigenetic Nexus Concerning Dinner Glycemic Index and the <i>FAAH C385A</i> Variant.

Biomolecules·2026
Same author

Effectiveness of Whey Protein Supplementation in Weight Loss Interventions for Patients with Obesity: A Systematic Review.

Nutrients·2026
Same author

Design of a Nutraceutical Gummy Candy Incorporating Hydrolysed Hemp (<i>Cannabis sativa</i> L.) as an Antioxidant and Antihypertensive Ingredient.

Bioengineering (Basel, Switzerland)·2025
Same author

Effect of Calcium Hydroxy-Methyl-Butyrate-Enriched Diabetes-Specific Oral Nutritional Supplementation on Patients with Heterogeneous Diabetes Mellitus Population with Disease Related Malnutrition Assessed with AI-Assisted Ultrasound Imaging.

Nutrients·2025
Same author

Mutual Impact of Dietary Antioxidants and <i>TNF-α</i> rs1800629 on Insulin Levels in Adults with Obesity.

Nutrients·2025
Same journal

The Potential for Bioactive Peptide Production in a Fermented Dairy Beverage Based on Chickpea Water Extract Using Proteolytic Lactic Acid Bacteria.

Foods (Basel, Switzerland)·2026
Same journal

Influence of Protein Concentration on Heat-Induced Fouling of Oat Drink.

Foods (Basel, Switzerland)·2026
Same journal

Microalgae as Future Foods: Unlocking Their Potential and Overcoming Barriers to Market Adoption and Commercialization.

Foods (Basel, Switzerland)·2026
Same journal

Effect of High-Intensity Ultrasound and Calcium Chelation on Functional Properties of Casein Micelles.

Foods (Basel, Switzerland)·2026
Same journal

GC-MS and GC-IMS Based Metabolomics Combined with Cellular Assays to Characterize Volatile Compounds and Pharmacological Activity of <i>Lysimachia foenum-graecum</i> Hance from Different Origins.

Foods (Basel, Switzerland)·2026
Same journal

Research on the Potential Mechanism of Guanine Nucleotides Enhancing the Tolerance of <i>Lactiplantibacillus plantarum</i> Y12.

Foods (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 7, 2025

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.5K

Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling.

Daniel Schorn-García1, Barbara Giussani2, María Jesús García-Casas3

  • 1Instrumental Sensometry (iSens), Department of Analytical Chemistry and Organic Chemistry, Campus Sescelades, Universitat Rovira i Virgili, Edifici N4, C/Marcel⋅lí Domingo s/n, 43007 Tarragona, Spain.

Foods (Basel, Switzerland)
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

Grape ripening variability is influenced by time and grape position. Analyzing spectra with ANOVA-simultaneous component analysis (ASCA) helps predict oenological parameters and create harvest quality control charts.

Keywords:
ASCAportable MIRprecision viticultureprocess monitoringvariability

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
Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.7K

Related Experiment Videos

Last Updated: Aug 7, 2025

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.5K
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
Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.7K

Area of Science:

  • Viticulture and Oenology
  • Biochemical Analysis
  • Spectroscopy

Background:

  • Grape ripening exhibits significant biochemical variability between individual berries.
  • Traditional viticulture relies on averaged physicochemical data, potentially masking crucial variations.
  • Understanding sources of variability is essential for accurate decision-making in grape cultivation.

Purpose of the Study:

  • To investigate the impact of "grape maturity over time" and "grape position" on grape berry biochemical profiles.
  • To assess the utility of portable ATR-FTIR spectroscopy combined with ASCA for analyzing grape variability.
  • To develop a method for predicting key oenological parameters and establishing harvest quality control.

Main Methods:

  • Utilized portable Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy to analyze grape samples.
  • Applied ANOVA-simultaneous component analysis (ASCA) to evaluate spectral data and identify sources of variability.
  • Investigated factors including maturity over time and grape position within the vine and cluster.

Main Results:

  • Maturity over time was identified as the primary factor influencing grape characteristics.
  • Grape position (vine and bunch) also significantly affected grape properties, with effects evolving over time.
  • Accurate prediction of total soluble solids (TSS) and pH was achieved with low error margins.

Conclusions:

  • The study demonstrates that both temporal and spatial factors significantly impact grape ripening variability.
  • ATR-FTIR spectroscopy and ASCA provide a powerful tool for dissecting these variations.
  • A quality control chart based on spectral data can aid in determining optimal harvest timing and grape selection.