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 Experiment Video

Updated: Dec 20, 2025

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out
07:10

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out

Published on: November 9, 2018

9.7K

Smartphone based meat freshness detection.

Isabel M Perez de Vargas-Sansalvador1, Miguel M Erenas1, Antonio Martínez-Olmos2

  • 1ECsens, Department of Analytical Chemistry, University of Granada, Granada, 18071, Spain; Unit of Excellence in Chemistry Applied to Biomedicine and the Environment of the University of Granada, Spain.

Talanta
|May 28, 2020
PubMed
Summary

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

Dynamic Thermal Voltage Adaptation for LED Branches in Automotive Applications.

Sensors (Basel, Switzerland)·2025
Same author

Biocompatible sensors for ammonia gas detection.

Talanta·2024
Same author

Advanced Detection of Failed LEDs in a Short Circuit for Automotive Lighting Applications.

Sensors (Basel, Switzerland)·2024
Same author

Author Correction: Synthesis of a thermoresponsive crosslinked MEO<sub>2</sub>MA polymer coating on microclusters of iron oxide nanoparticles.

Scientific reports·2024
Same author

POC device for rapid oral pH determination based on a smartphone platform.

Mikrochimica acta·2024
Same author

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks.

Sensors (Basel, Switzerland)·2024
Same journal

Pixel-wise assessment of industrial compost transformation by NIR hyperspectral imaging and chemometrics: an early-warning tool for process monitoring.

Talanta·2026
Same journal

Bifunctional covalent organic framework for rapid isolation of extracellular vesicles and proteomics-based biomarker discovery.

Talanta·2026
Same journal

Machine learning-assisted smart electrochemical platform: High-sensitivity simultaneous detection of rutin and luteolin in biological samples.

Talanta·2026
Same journal

Simultaneous separation of ezetimibe and its seven stereoisomers by supercritical fluid chromatography on a polysaccharide-based chiral stationary phase: Optimization and thermodynamic analysis.

Talanta·2026
Same journal

A novel borondifluoro indolenine-functionalized red-shift ratiometric fluorescent probe for detection of hypochlorous acid in drug-induced liver injury.

Talanta·2026
Same journal

A cost-performance index for nano-optical biosensor evaluation: Systematic evaluation of europium-salicylate luminescent platforms for GPC3-targeted early HCC diagnosis.

Talanta·2026
See all related articles
This summary is machine-generated.

A new colorimetric sensor integrated into pork packages detects spoilage by tracking carbon dioxide (CO2) levels. Smartphone analysis of the sensor

Area of Science:

  • Food Science
  • Analytical Chemistry
  • Biosensors

Background:

  • Meat spoilage is a significant concern, leading to economic losses and food safety issues.
  • Existing methods for assessing meat freshness can be time-consuming or require specialized equipment.
  • Developing rapid, accessible, and reliable freshness indicators is crucial for the food industry.

Purpose of the Study:

  • To develop and integrate a novel colorimetric sensor for monitoring pork freshness.
  • To correlate sensor color changes with bacterial growth and carbon dioxide (CO2) production during spoilage.
  • To validate smartphone-based detection as a user-friendly method for assessing packaged pork quality.

Main Methods:

  • A non-toxic colorimetric sensor cocktail (2 μL) was prepared and integrated into pork loin packages.
Keywords:
Bacterial growingColorimetric CO(2) gas sensorFood qualityFreshness sensorMeat spoilagePork meat

More Related Videos

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

4.7K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.0K

Related Experiment Videos

Last Updated: Dec 20, 2025

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out
07:10

Fluorescent Paper Strips for the Detection of Diesel Adulteration with Smartphone Read-out

Published on: November 9, 2018

9.7K
Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

4.7K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

5.0K
  • The sensor was designed to change color in response to increasing CO2 levels, indicative of bacterial spoilage.
  • Sensor color was analyzed using smartphone photography and a custom application to quantify grayscale values.
  • Main Results:

    • The colorimetric sensor successfully indicated rising CO2 levels associated with pork spoilage.
    • Sensor color change correlated with bacterial population and, consequently, meat freshness.
    • Smartphone-based measurements showed good agreement with a reference method (Checkpoint Analyzer).

    Conclusions:

    • The integrated colorimetric sensor offers a promising tool for real-time monitoring of pork freshness.
    • Smartphone-based analysis provides a simple, rapid, and potentially low-cost method for quality assessment.
    • This technology can serve as a basis for a quick quality test for packaged pork.