Literature DB >> 23729854

Nondestructive methods for quality evaluation of livestock products.

K Narsaiah1, Shyam N Jha.   

Abstract

The muscles derived from livestock are highly perishable. Rapid and nondestructive methods are essential for quality assurance of such products. Potential nondestructive methods, which can supplement or replace many of traditional time consuming destructive methods, include colour and computer image analysis, NIR spectroscopy, NMRI, electronic nose, ultrasound, X-ray imaging and biosensors. These methods are briefly described and the research work involving them for products derived from livestock is reviewed. These methods will be helpful in rapid screening of large number of samples, monitoring distribution networks, quick product recall and enhance traceability in the value chain of livestock products. With new developments in the areas of basic science related to these methods, colour, image processing, NIR spectroscopy, biosensors and ultrasonic analysis are expected to be widespread and cost effective for large scale meat quality evaluation in near future.

Entities:  

Keywords:  Biosensors; Colour; Electronic nose; Grading; Meat; NIR spectroscopy

Year:  2011        PMID: 23729854      PMCID: PMC3614040          DOI: 10.1007/s13197-011-0286-3

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  33 in total

1.  Composition assessment of raw meat mixtures using ultrasonics.

Authors:  J Benedito; J A Carcel; C Rossello; A Mulet
Journal:  Meat Sci       Date:  2001-04       Impact factor: 5.209

2.  Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy.

Authors:  S Andrés; I Murray; E A Navajas; A V Fisher; N R Lambe; L Bünger
Journal:  Meat Sci       Date:  2007-01-27       Impact factor: 5.209

3.  Perspective of NIRS measurements early post mortem for prediction of pork quality.

Authors:  A H Hoving-Bolink; H W Vedder; J W M Merks; W J H de Klein; H G M Reimert; R Frankhuizen; W H A M van den Broek; En E Lambooij
Journal:  Meat Sci       Date:  2004-11-05       Impact factor: 5.209

4.  Post mortem energy metabolism and meat quality of porcine M. longissimus dorsi as influenced by stunning method - A (31)P NMR spectroscopic study.

Authors:  Hanne Christine Bertram; Hans Stødkilde-Jørgensen; Anders Hans Karlsson; Henrik Jørgen Andersen
Journal:  Meat Sci       Date:  2002-09       Impact factor: 5.209

5.  Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review.

Authors:  N Prieto; R Roehe; P Lavín; G Batten; S Andrés
Journal:  Meat Sci       Date:  2009-05-06       Impact factor: 5.209

6.  A comparison of warmed-over flavour in pork by sensory analysis, GC/MS and the electronic nose.

Authors:  M G O'Sullivan; D V Byrne; M T Jensen; H J Andersen; J Vestergaard
Journal:  Meat Sci       Date:  2003-11       Impact factor: 5.209

7.  Application of an electronic nose for measurements of boar taint in entire male pigs.

Authors:  Jannie S Vestergaard; John-Erik Haugen; Derek V Byrne
Journal:  Meat Sci       Date:  2006-05-19       Impact factor: 5.209

8.  Multiresolution local contrast enhancement of x-ray images for poultry meat inspection.

Authors:  Z Chen; Y Tao; X Chen
Journal:  Appl Opt       Date:  2001-03-10       Impact factor: 1.980

9.  Detection of Escherichia coli O157:H7 in 10- and 25-gram ground beef samples with an evanescent-wave biosensor with silica and polystyrene waveguides.

Authors:  Daniel R Demarco; Daniel V Lim
Journal:  J Food Prot       Date:  2002-04       Impact factor: 2.077

10.  Development of quality evaluation sensor for fish freshness control based on KI value.

Authors:  Etsuo Watanabe; Yasuko Tamada; Naoko Hamada-Sato
Journal:  Biosens Bioelectron       Date:  2005-01-15       Impact factor: 10.618

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  3 in total

1.  Optical biosensors for food quality and safety assurance-a review.

Authors:  K Narsaiah; Shyam Narayan Jha; Rishi Bhardwaj; Rajiv Sharma; Ramesh Kumar
Journal:  J Food Sci Technol       Date:  2011-07-06       Impact factor: 2.701

Review 2.  Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review.

Authors:  Christopher T Kucha; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

3.  The Use of Electronic Nose in the Quality Evaluation and Adulteration Identification of Beijing-You Chicken.

Authors:  Jingru Chen; Wenjie Yan; Yu Fu; Liang Wang; Xueze Lv; Ruitong Dai; Xingmin Li; Fei Jia
Journal:  Foods       Date:  2022-03-08
  3 in total

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