GowenA.A.O'DonnellC.P.CullenP.J.DowneyG. and FriasJ.M., “Hyperspectral imaging—an emerging process analytical tool for food quality and safety control”, Trends Food Sci. Tech.18(12), 590–598 (2007). doi: http://dx.doi.org/10.1016/j.tifs.2007.06.001
2.
FengY.-Z. and SunD.-W., “Application of hyperspectral imaging in food safety inspection and control: A review”, Crit. Rev. Food Sci.52(11), 1039–1058 (2012). doi: http://dx.doi.org/10.1080/10408398.2011.651542
3.
FengY.-Z.ElMasryG.SunD.-W.ScannellA.WalshD. and MorcyN., “Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagent-less determination of Enterobacteriaceae on chicken fillets”, Food Chem.138(2–3), 1829–1836 (2013). doi: http://dx.doi.org/10.1016/j.foodchem.2012.11.040
4.
FengY.-Z. and SunD.-W., “Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets”, Talanta109, 74–83 (2013). doi: http://dx.doi.org/10.1016/j.talanta.2013.01.057
5.
FengY.-Z. and SunD.-W., “Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms”, Talanta105, 244–249 (2013). doi: http://dx.doi.org/10.1016/j.talanta.2012.11.042
6.
AlexandrakisD.BruntonN.DowneyG. and ScannellA., “Identification of spoilage marker metabolites in Irish chicken breast muscle using HPLC, GC–MS coupled with SPME and traditional chemical techniques”, Food Bioprocess Tech.5(5), 1917–1923 (2012). doi: http://dx.doi.org/10.1007/s11947-010-0500-8
7.
EllisD.I. and GoodacreR., “Rapid and quantitative detection of the microbial spoilage of muscle foods: Current status and future trends”, Trends Food Sci. Tech.12(11), 414–424 (2001). doi: http://dx.doi.org/10.1016/S0924-2244(02)00019-5
8.
DaviesA. and BoardR., The Microbiology of Meat and Poultry. Blackie Academic & Professional, London, UK (1998).