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

Analysis of differences in response to long-acting growth hormone therapy and influencing factors between patients with idiopathic short stature (ISS) and growth hormone deficiency (GHD).

Translational pediatrics·2026
Same author

<i>Ornithoboea brachycarpa</i> (Gesneriaceae), a new cave-dwelling species from Guangxi, China.

PhytoKeys·2026
Same author

<i>Oreocharis sihuiensis</i> (Gesneriaceae), a critically endangered new species from Guangdong Province, China.

PhytoKeys·2026
Same author

Standardizing PSMA PET/CT reporting in prostate cancer: from structured frameworks to AI-assisted interpretation.

Abdominal radiology (New York)·2026
Same author

Clinical Phenotype Identification in Chinese Children with ADHD Using Latent Profile Analysis and Implications for Precision Nursing Pathways.

Psychology research and behavior management·2026
Same author

Association between malnutrition and frailty and postoperative mortality in older surgical patients.

Clinical nutrition (Edinburgh, Scotland)·2026

Related Experiment Video

Updated: Mar 14, 2026

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
09:31

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach

Published on: October 7, 2025

704

Smartphone-based visualized microarray detection for multiplexed harmful substances in milk.

Zhoumin Li1, Zhonghui Li2, Dingyi Zhao2

  • 1State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China; School of Chemistry and Biological Science, Nanjing University Jingling College, Nanjing 210089, China.

Biosensors & Bioelectronics
|September 24, 2016
PubMed
Summary
This summary is machine-generated.

A new smartphone-based immunoassay microarray offers sensitive detection of harmful Tetracyclines (TCs) and Quinolones (QNs) in milk. This simple, inexpensive method provides rapid, one-well quantitative analysis with low detection limits.

Keywords:
Antibiotic residuesProtein microarraySilver enhancementSmartphoneVisual detection

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

5.3K
Analysis of Fucosylated Human Milk Trisaccharides in Biotechnological Context Using Genetically Encoded Biosensors
10:17

Analysis of Fucosylated Human Milk Trisaccharides in Biotechnological Context Using Genetically Encoded Biosensors

Published on: April 13, 2019

6.9K

Related Experiment Videos

Last Updated: Mar 14, 2026

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
09:31

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach

Published on: October 7, 2025

704
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

5.3K
Analysis of Fucosylated Human Milk Trisaccharides in Biotechnological Context Using Genetically Encoded Biosensors
10:17

Analysis of Fucosylated Human Milk Trisaccharides in Biotechnological Context Using Genetically Encoded Biosensors

Published on: April 13, 2019

6.9K

Area of Science:

  • Analytical Chemistry
  • Biosensing Technology
  • Food Safety Analysis

Background:

  • Milk safety is crucial, requiring rapid detection of harmful antibiotic residues.
  • Existing methods for detecting Tetracyclines (TCs) and Quinolones (QNs) can be time-consuming and expensive.
  • Development of portable, sensitive, and cost-effective analytical tools is needed for on-site food safety monitoring.

Purpose of the Study:

  • To develop a sensitive, simple, and inexpensive immunoassay microarray for detecting harmful substances in milk.
  • To establish a smartphone-based detection platform for Tetracyclines (TCs) and Quinolones (QNs).
  • To achieve one-well quantitative analysis with minimal sample preparation.

Main Methods:

  • Antigens of TCs and QNs were immobilized onto a microarray.
  • A competitive immunoassay format was employed using antibody and silver nanoparticle (AgNPs) labeled secondary antibodies.
  • Signal amplification was achieved using a silver enhancement technique, with detection via a smartphone in a minicartridge.

Main Results:

  • The method achieved low limits of detection: 1.51 ng/mL for TCs and 1.74 ng/mL for QNs.
  • A quantitative analysis was successfully performed in a single well using an internal standard curve created with mouse IgG.
  • The quantitative results for TCs and QNs were consistent with an external standard curve.

Conclusions:

  • The developed smartphone-based immunoassay microarray is a sensitive, simple, and inexpensive platform for detecting TCs and QNs in milk.
  • The method offers advantages in terms of detection limit, speed, and ease of use for quantitative analysis.
  • This technology holds promise for rapid, on-site food safety monitoring and quality control.