Immobilizing laccase on electrospun chitosan fiber to prepare time-temperature indicator for food quality monitoring

2020 ◽  
Vol 63 ◽  
pp. 102370 ◽  
Author(s):  
Jhao-Rong Jhuang ◽  
Shyi-Neng Lou ◽  
Shih-Bin Lin ◽  
Shih Hsin Chen ◽  
Li-Chen Chen ◽  
...  
Keyword(s):  
Food Quality ◽  
Quality Monitoring ◽  
Chitosan Fiber

A Passive Radio-Frequency pH-Sensing Tag for Wireless Food-Quality Monitoring

2012 ◽  
Vol 12 (3) ◽  
pp. 487-495 ◽  
Author(s):  
Wen-Ding Huang ◽  
Sanchali Deb ◽  
Young-Sik Seo ◽  
Smitha Rao ◽  
Mu Chiao ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Food Quality ◽  
Quality Monitoring ◽  
Ph Sensing

Comparison of Multiplex PCR with Conventional Biochemical Methods for the Identification of Listeria spp. Isolates from Food and Clinical Samples in Queensland, Australia

2007 ◽  
Vol 70 (8) ◽  
pp. 1874-1880 ◽  
Author(s):  
BIXING HUANG ◽  
SOFRONI EGLEZOS ◽  
BRETT A. HERON ◽  
HELEN SMITH ◽  
TRUDY GRAHAM ◽  
...  
Keyword(s):  
Food Quality ◽  
Foodborne Pathogen ◽  
Species Level ◽  
Quality Monitoring ◽  
Basic Knowledge ◽  
Clinical Samples ◽  
Multiplex Pcrs ◽  
Food Quality Control ◽  
Biochemical Methods ◽  
Listeria Species

Listeria monocytogenes is an important foodborne pathogen with high mortality. L. monocytogenes and five other Listeria species can frequently be found in the same sample. To identify Listeria isolates found in foods to the species level, two multiplex PCRs were designed. The PCR and conventional biochemical methods were compared for the identification of 456 Listeria isolates collected from routine food quality monitoring schemes between June 2004 and February 2006 and for 62 L. monocytogenes isolates from patients between 1999 and 2005. The results showed that the PCR and biochemical methods had 100% agreement in Listeria identification. The distribution of Listeria species from foods was as follows: L. monocytogenes, 50.4%; L. innocua, 33.8%; L. welshimeri, 14.9%; L. seeligeri, 0.7%; L. grayi, 0.2%; and L. ivanovii, 0.0%. Additional analyses were performed to identify the major serotypes (1/2a, 1/2b, 1/2c, and 4b) and the three lineages of L. monocytogenes isolates from foods and patients, with 1/2a (69.6%) and 1/2b (21.7%) dominating the food isolates and 1/2b (54.8%) and 4b (30.7%) dominating the patient isolates. The lineage results showed that isolates of 1/2a and 1/2c belonged to lineage II and that isolates of 1/2b and 4b belonged to lineage I. The multiplex PCRs for Listeria identification that have been established provide an accurate and rapid method for food quality control. This study has provided the basic knowledge of distribution of Listeria species and L. monocytogenes serotypes in Queensland, Australia, which is useful for epidemiological investigations of listeriosis.

scholarly journals A Flexible Biopolymer based UHF RFID-Sensor for food quality monitoring

2019 ◽  
Author(s):  
Benjamin SAGGIN ◽  
Yassin Belaizi ◽  
Arnaud Vena ◽  
Brice Sorli ◽  
Valerie Guillard ◽  
...  
Keyword(s):  
Food Quality ◽  
Quality Monitoring ◽  
Uhf Rfid

Passive sensors for food quality monitoring and counterfeiting

2014 ◽  
Author(s):  
Ricardo Goncalves ◽  
Jimmy Hester ◽  
Nuno Carvalho ◽  
Pedro Pinho ◽  
Manos Tentzeris
Keyword(s):  
Food Quality ◽  
Quality Monitoring ◽  
Passive Sensors

scholarly journals Lipid Membrane Based Biosensors

2018 ◽  
Author(s):  
Georgia-Paraskevi Nikoleli ◽  
Dimitrios P. Nikolelis ◽  
Christina G. Siontorou ◽  
Marianna-Thalia Nikolelis ◽  
Stephanos Karapetis
Keyword(s):  
Food Quality ◽  
Lipid Membranes ◽  
Recent Progress ◽  
Lipid Membrane ◽  
Environmental Pollutants ◽  
Quality Monitoring ◽  
Future Prospects ◽  
Considerable Part ◽  
Bilayer Device ◽  
Food Toxicants

The exploitation of lipid membranes in biosensors has provided the ability to reconstitute a considerable part of their functionality to detect trace of food toxicants and environmental pollutants. Nanotechnology enabled sensor miniaturization and extended the range of biological moieties that could be immobilized within a lipid bilayer device. This chapter reviews recent progress in biosensor technologies based on lipid membranes suitable for environmental applications and food quality monitoring. Numerous biosensing applications are presented, putting emphasis on novel systems, new sensing techniques and nanotechnology-based transduction schemes. The range of analytes that can be currently detected include, insecticides, pesticides, herbicides, metals, toxins, antibiotics, microorganisms, hormones, dioxins, etc. Technology limitations and future prospects are discussed, focused on the evaluation/ validation and eventually commercialization of the proposed sensors.

scholarly journals Food quality monitoring through bioinformatics and big data

2022 ◽  
pp. 733-744
Author(s):  
Jaison Jeevanandam ◽  
Dominic Agyei ◽  
Michael K. Danquah ◽  
Chibuike Udenigwe
Keyword(s):  
Big Data ◽  
Food Quality ◽  
Quality Monitoring

scholarly journals Food Quality Monitoring System Based on Smart Contracts and Evaluation Models

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 12479-12490 ◽  
Author(s):  
Bin Yu ◽  
Ping Zhan ◽  
Ming Lei ◽  
Fang Zhou ◽  
Peng Wang
Keyword(s):  
Monitoring System ◽  
Food Quality ◽  
Quality Monitoring ◽  
Smart Contracts ◽  
Evaluation Models

Electronic Noses in Food Analysis

2018 ◽  
pp. 132-150
Author(s):  
Runu Banerjee Roy ◽  
Rajib Bandyopadhyay ◽  
Bipan Tudu ◽  
Nabarun Bhattacharyya
Keyword(s):  
Sensory Evaluation ◽  
Electronic Nose ◽  
Food Quality ◽  
Food Analysis ◽  
Physical State ◽  
High Variability ◽  
Quality Monitoring ◽  
Seasonal Effect ◽  
Electronic Noses ◽  
Food Industries

Food quality evaluation is a tedious job as it can be sensed either by its flavor, taste, or appearance. Sensory evaluation for food quality determination is very complex and depends on biological sensor systems and is subject to high variability depending on taster's mood, physical state, etc. Moreover, as it is purely subjective, the observations may vary for different tasters. For food industries the instrumental means for quality monitoring has significant appreciations which are repeatable, accurate, and reliable. Electronic nose is an array of sensors that senses based on aroma of samples. For the last two decades, electronic nose has been applied in several domains of applications in food analysis, for example, food quality monitoring based on seasonal effect, ageing, geographical origin, fermentation, etc. This chapter aims to focus on different domains of application of electronic nose in food analysis.

Biosensing based on upconversion nanoparticles for food quality and safety applications

The Analyst ◽  
2021 ◽  
Vol 146 (1) ◽  
pp. 13-32
Author(s):  
Riikka Peltomaa ◽  
Elena Benito-Peña ◽  
Hans H. Gorris ◽  
María C. Moreno-Bondi
Keyword(s):  
Optical Properties ◽  
Food Safety ◽  
Food Quality ◽  
Optical Detection ◽  
Quality Monitoring ◽  
Upconversion Nanoparticles ◽  
Quality And Safety ◽  
Food Quality And Safety ◽  
Safety Applications ◽  
Food Safety And Quality

The unique optical properties of UCNPs, in particular the ability for background-free optical detection, bestow great potential for food safety and quality monitoring.

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