A colorimetric gas-sensitive array sensor using filter paper for the analysis of fish freshness
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A colorimetric gas-sensitive array sensor using filter paper for the analysis of fish freshness
Authors
Keywords
Fish, Freshness, Array sensor, Filter paper
Journal
FOOD CHEMISTRY
Volume 377, Issue -, Pages 132029
Publisher
Elsevier BV
Online
2022-01-05
DOI
10.1016/j.foodchem.2021.132029
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Microneedle Technology for Sampling and Sensing Bacteria in the Food Supply Chain
- (2020) Doyoon Kim et al. ADVANCED FUNCTIONAL MATERIALS
- Fluoro-functionalized graphene as a promising nanosensor in detection of fish spoilage: A theoretical study
- (2019) Morteza Rouhani CHEMICAL PHYSICS LETTERS
- Amplification of Raman spectra by gold nanorods combined with chemometrics for rapid classification of four Pseudomonas
- (2019) Shuangshuang Liu et al. INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
- Effect of thermal oxidation on detection of adulteration at low concentrations in extra virgin olive oil: Study based on laser-induced fluorescence spectroscopy combined with KPCA–LDA
- (2019) Yi Li et al. FOOD CHEMISTRY
- Postmortem changes in the freshness and volatile compounds of grass carp (Ctenopharyngodon idella)
- (2019) Hongli Wang et al. Journal of Food Measurement and Characterization
- Colorimetric sensor arrays based on chemo-responsive dyes for food odor visualization
- (2018) Huang Xiao-wei et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Lipidomic analysis for carbonyl species derived from fish oil using liquid chromatography–tandem mass spectrometry
- (2017) Joon Hyuk Suh et al. TALANTA
- Colorimetric Sensor Arrays for the Detection and Identification of Chemical Weapons and Explosives
- (2016) Michael J. Kangas et al. CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
- Enhancing Visible and Near-Infrared Hyperspectral Imaging Prediction of TVB-N Level for Fish Fillet Freshness Evaluation by Filtering Optimal Variables
- (2016) Jun-Hu Cheng et al. Food Analytical Methods
- Development and validation of a colorimetric sensor array for fish spoilage monitoring
- (2016) Mohamed K. Morsy et al. FOOD CONTROL
- An optoelectronic nose for identification of explosives
- (2016) Jon R. Askim et al. Chemical Science
- Development of On-Package Indicator Sensor for Real-Time Monitoring of Buffalo Meat Quality During Refrigeration Storage
- (2015) Vivek Shukla et al. Food Analytical Methods
- Colorimetric sensor arrays: Interplay of geometry, substrate and immobilization
- (2014) Maria K. LaGasse et al. SENSORS AND ACTUATORS B-CHEMICAL
- A patterned colorimetric sensor array for rapid detection of TNT at ppt level
- (2014) Anders Berliner et al. RSC Advances
- Comparative Studies on Sulfhydryl Determination of Soy Protein Using Two Aromatic Disulfide Reagents and Two Fluorescent Reagents
- (2013) Qijun Ruan et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Monitoring of chicken meat freshness by means of a colorimetric sensor array
- (2012) Yolanda Salinas et al. ANALYST
- Optical chemosensors and reagents to detect explosives
- (2011) Yolanda Salinas et al. CHEMICAL SOCIETY REVIEWS
- Colorimetric Sensor Array for Determination and Identification of Toxic Industrial Chemicals
- (2010) Liang Feng et al. ANALYTICAL CHEMISTRY
- Discrimination of Complex Mixtures by a Colorimetric Sensor Array: Coffee Aromas
- (2010) Benjamin A. Suslick et al. ANALYTICAL CHEMISTRY
- A colorimetric sensor array for identification of toxic gases below permissible exposure limits
- (2010) Liang Feng et al. CHEMICAL COMMUNICATIONS
- Development of a novel colorimetric indicator label for monitoring freshness of intermediate-moisture dessert spoilage
- (2010) Atchareeya Nopwinyuwong et al. TALANTA
- An optoelectronic nose for the detection of toxic gases
- (2009) Sung H. Lim et al. Nature Chemistry
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started