Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractA Data-Gathering Scheme with Joint Routing and Compressive Sensing Based on Modified Diffusion Wavelets in Wireless Sensor Networks    Next AbstractApplication of heart-cutting two-dimensional liquid chromatography-mass spectrometry to the characterization of highly polar impurities in calcium gluconate injection »

Meat Sci


Title:Application of gas sensors for modelling the dynamic growth of Pseudomonas in pork stored at different temperatures
Author(s):Gu X; Feng L; Zhu J; Li Y; Tu K; Dong Q; Pan L;
Address:"College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu 210095, PR China. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, PR China. College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu 210095, PR China. Electronic address: pan_leiqing@njau.edu.cn"
Journal Title:Meat Sci
Year:2021
Volume:20200820
Issue:
Page Number:108282 -
DOI: 10.1016/j.meatsci.2020.108282
ISSN/ISBN:1873-4138 (Electronic) 0309-1740 (Linking)
Abstract:"Pseudomonas have a faster growth rate over other bacteria in chilled meat under aerobic conditions. A non-destructive method for modelling the dynamic growth of Pseudomonas in pork stored at different temperatures using gas sensors was presented in our work. Based on selected gas sensor data, the first-order kinetic equations (Gompertz and Logistic Functions) combined with the secondary model (Square-root Function) effectively simulated Pseudomonas growth in pork at different temperatures with R(2) and RMSE values of 0.71-0.97 and 0.27-0.84, respectively. Additionally, these models showed high accuracy with correlation coefficients greater than 0.90, in addition to several individual accuracy values. Furthermore, HS-SPME/GC-MS results demonstrated the presence of identified key volatiles in samples inoculated with Pseudomonas, including three amine compounds (mercaptamine, 1-octanamine and 1-heptadecanamine), phenol and indole. Our work showed that gas sensors are a rapid, easy and non-destructive method with acceptable feasibility in modelling the dynamic growth of spoilage microorganisms in meat"
Keywords:Animals *Electronic Nose Food Microbiology/methods Pork Meat/*microbiology Pseudomonas/*growth & development/metabolism Swine Temperature Volatile Organic Compounds/analysis Dynamic growth Gc-ms Gas sensors Model Pseudomonas;
Notes:"MedlineGu, Xinzhe Feng, Li Zhu, Jingyi Li, Yue Tu, Kang Dong, Qingli Pan, Leiqing eng England 2020/08/29 Meat Sci. 2021 Jan; 171:108282. doi: 10.1016/j.meatsci.2020.108282. Epub 2020 Aug 20"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 29-06-2024