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

Olfaction01:25

Olfaction

44.2K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
44.2K
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

8.1K
Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
8.1K

You might also read

Related Articles

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

Sort by
Same author

Single-Nucleus RNA Sequencing Reveals Cellular Heterogeneity and Trajectories of Lineage Differentiation during Chicken Skeletal Muscle Development.

Journal of agricultural and food chemistry·2026
Same author

ATPase Inhibitory Factor 1 Drives Mitochondrial Energy Metabolic Reprogramming to Promote HCC Vasculogenic Mimicry via the ESR1/miR-20a-3p/GNAZ Pathway.

Research (Washington, D.C.)·2025
Same author

Joint channel estimation and feedback with masked token transformers in massive MIMO systems.

Scientific reports·2025
Same author

Recent progress in the microbial production of Xylanase.

World journal of microbiology & biotechnology·2025
Same author

Risk factors for ICU-acquired weakness in patients undergoing mechanical ventilation: a systematic review and meta-analysis.

Journal of thoracic disease·2025
Same author

Loss of LCAT function aggravates metabolic-associated steatohepatitis (MASH) in golden Syrian hamster.

Clinical science (London, England : 1979)·2025
Same journal

Reconfigurable Multistate Optical Memory in Mixed Halide Perovskites.

ACS applied materials & interfaces·2026
Same journal

Tunable, High-Relaxivity Gd(III)-Conjugated Lipoic Acid Hydrogels for Magnetic Resonance Imaging.

ACS applied materials & interfaces·2026
Same journal

Effects of Metal Ions of Metal-Organic Framework Membranes on the Transport of NaCl Solutions toward Seawater Desalination.

ACS applied materials & interfaces·2026
Same journal

Immobilization of Single Ni Sites and Separated Pd Clusters in Covalent Organic Framework for Enhanced Electrochemical Reduction of Nitrite to Ammonia.

ACS applied materials & interfaces·2026
Same journal

Evidence for Step-Edge-Assisted Large Hole Borophene on Ni(111).

ACS applied materials & interfaces·2026
Same journal

Growth Mode-Dependent Bi Incorporation and Carrier Localization in GaAsBi Wires.

ACS applied materials & interfaces·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2025

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.3K

Olfactory Visualization Sensing Array Made with CelluMOFs to Predict Fruit Ripeness Using Deep Learning.

Mingming Zhao1,2, Huizi Lu1,2, Zhiheng You1,2

  • 1School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, P. R. China.

ACS Applied Materials & Interfaces
|October 15, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a new artificial scent system using a flexible dye/CelluMOFs sensor array and DenseNet for accurate fruit ripeness detection. The system achieves 99.09% accuracy in identifying fruit scent fingerprints and predicting ripeness levels.

Keywords:
colorimetric sensor arraysdensely connected convolutional networkfruit ripeness classificationmetal−organic frameworksvolatile organic compounds

More Related Videos

Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer
08:52

Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer

Published on: August 20, 2016

15.7K
In vivo Ca2+- Imaging of Mushroom Body Neurons During Olfactory Learning in the Honey Bee
10:27

In vivo Ca2+- Imaging of Mushroom Body Neurons During Olfactory Learning in the Honey Bee

Published on: August 18, 2009

14.0K

Related Experiment Videos

Last Updated: Jun 10, 2025

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

21.3K
Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer
08:52

Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer

Published on: August 20, 2016

15.7K
In vivo Ca2+- Imaging of Mushroom Body Neurons During Olfactory Learning in the Honey Bee
10:27

In vivo Ca2+- Imaging of Mushroom Body Neurons During Olfactory Learning in the Honey Bee

Published on: August 18, 2009

14.0K

Area of Science:

  • Materials Science
  • Chemical Sensing
  • Artificial Intelligence

Background:

  • Developing sensitive and accurate artificial scent systems for fruit ripeness detection is challenging.
  • Existing methods often lack the required sensitivity and pattern recognition capabilities for on-site assessment.
  • Colorimetry-based systems offer potential but require enhanced sensitivity and integration with advanced algorithms.

Purpose of the Study:

  • To construct a flexible dye/CelluMOFs-based sensor array for high-sensitivity detection of fruit volatile compounds.
  • To integrate a densely connected convolutional network (DenseNet) for accurate recognition of fruit scent fingerprints.
  • To achieve precise categorization of fruit ripeness using an olfactory visual sensing system.

Main Methods:

  • Synthesis of CelluMOFs via in situ growth of γ-cyclodextrin metal-organic frameworks (γ-CD-MOFs) on filter paper.
  • Fabrication of a flexible, porous dye/CelluMOFs sensitive membrane with enhanced dye loading capacity.
  • Integration of a DenseNet model with the colorimetric sensor array for pattern recognition and classification.
  • Detection of characteristic fruit odors, including trans-2-hexenal, and assessment of sensor stability.

Main Results:

  • The CelluMOFs membrane showed a 62x higher specific surface area and 3x increased dye loading capacity compared to filter paper.
  • The sensor array demonstrated high sensitivity with low gas detection thresholds for trans-2-hexenal (8-1500 ppm).
  • The integrated system achieved a 99.09% classification accuracy for fruit ripeness prediction on the validation set.

Conclusions:

  • A novel, flexible dye/CelluMOFs sensor array coupled with DenseNet enables sensitive and accurate fruit ripeness detection.
  • The olfactory visual sensing system effectively recognizes unique scent fingerprints for high-precision fruit categorization.
  • This approach offers a promising solution for on-site, non-destructive assessment of fruit quality.