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3-chloropropane1,2-diol in models simulating processed foods: precursors and agents causing its decomposition Czech Journal of Food Sciences, 21, 153 161 Dole al, M, Vel ek, J (1992) Kinetics of 3-chloro-1,2-propanediol degradation in model systems, in Proceedings of Chemical Reactions in Foods II, Prague, Czech Republic, September 24 26, pp 297 302 Dole al, M, Vel ek, J (1995) Kinetics of 2-chloro-1,3-propanediol degradation in model systems and in protein hydrolysates Potravinaoske Ve dy, 2, 85 91 Sim, CW, Muhammad, K, Yusof, S, Bakar, J, Hashim, DM (2004) The optimization of conditions for the production of acid-hydrolysed winged bean and soybean proteins with reduction of 3-monochloropropane-1,2-diol (3-MCPD) International Journal of Food Science and Technology, 39, 947 958 Riehle, RJ (Hercules Inc) (2006) Treatment of resins to lower levels of CPDproducing species and improve gelation stability US Patent No 7081512 http:// www.

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Hotelling s T2 statistic for an observation, X(n), is de ned as follows [7]: T 2 = X (n) X S 1 X (n) X (1414)

usptogov/patft/indexhtml (accessed November 2006) Konings, EJM, Ashby, P, Hamlet, GG, Thompson, GAK (2007) Acrylamide in cereal and cereal products: a review on progress in mitigation Food Additives and Contaminants, 24 (S1), 47 59 Hamlet, CG, Baxter, DE, Sadd, PA, Slaiding, I, Liang, L, Muller, R, Jayaratne, SM, Booer, C (2005) Exploiting process factors to reduce acrylamide in cereal-.

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based foods, Report No C014 A report prepared for the UK Food Standards Agency RHM Technology Ltd, High Wycombe 116 Kasai, N, Suzuki, T, Idogaki, H (2006) Enzymatic degradation of esters of dichloropropanols: removal of chlorinated glycerides from processed foods Food Science and Technology, 39, 86 90 117 Stadler, RH, Theurillat, V, Studer, A, Scanlan, FP, Seefelder, W (2007) The formation of 3-monochloropropane-1,2-diol (3-MCPD) in food and potential measures of control, in Thermal Processing of Food: Potential Health Bene ts and Risks Symposium of the Deutsche Forschungsgemeinschaft (DFG) (eds G Eisenbrand et al), Wiley-VCH Verlag GmbH, Weinheim, pp 141 155 118 Mamma, D, Papadopoulou, E, Petroutsos, D, Christakopoulos, P, Kekos, D (2006) Removal of 1,3-dichloro2-propanol and 3-chloro1,2-propanediol by the whole cell system of pseudomonas putida DSM 437.

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Journal of Environmental Science and Health Part A-Toxic/Hazardous Substances & Environmental Engineering, 41, 303 313 119 Bastos, F, Bessa, J, Pacheco, CC, De Marco, P, Castro, PML, Silva, M, Jorge, RF (2002) Enrichment of microbial cultures able to degrade 1,3-dichloro-2propanol: a comparison between batch and continuous methods Biodegradation, 13, 211 220 120 Yonetani, R, Ikatsu, H, Miyake-Nakayama, C, Fujiwara, E, Maehara, Y, Miyoshi, SI, Matsuoka, H, Shinoda, S (2004) Isolation and characterization of a 1,3dichloro-2-propanol-degrading bacterium Journal of Health Science, 50, 605 612 121 Bel-Rhlid, R, Talmon, JP, Fay, LB, Juillerat, MA (2004) Biodegradation of 3chloro-1,2-propanediol with Saccharomyces cerevisiae Journal of Agricultural and Food Chemistry, 52, 6165 6169 122 Laurent, H, Dreyfus, T, Poulet, C, Quillet, S (2002).

Process for obtaining aminopolyamide-epichlorohydrin resins with a 1,3-dichloro-2-propanol content which is undetectable by ordinary means of vapour-phase chromatography US Patent No 6342580 http://gbespacenetcom (accessed November 2006) 123 Riehle, RJ, Busink, R, Berri, M, Stevels, W (Hercules Inc) (2003) Reduced byproduct high solids polyamine-epihalohydrin compositions US Patent Application 20030070783 http://wwwusptogov/patft/indexhtml (accessed November 2006) 124 Yamamoto, S, Yoshida, Y, Kurumatani, M, Ota, M, Asano, S (2001) Watersoluble thermosetting resin and wet-strength agent for paper using the same US Patent Application 20010034406 http://wwwusptogov/patft/indexhtml (accessed November 2006) 125 Food Standards Australia New Zealand (FSANZ) (2006) Australia New Zealand Food Standards Code, 2006 Standard 141, Contaminants and Natural Toxicants Anstat Pty Ltd, Canberra http://wwwfoodstandardsgovau/thecode/ foodstandardscodecfm (accessed 17 September 2008) 126 Health Canada (2005).

Hotelling s T2 statistic measures a statistical distance of X (n) from the in-control data population which is represented by the estimated mean vector and the estimated covariance matrix A larger T2 value indicates a large departure from the in-control data population The following transformed value of the T2 statistic: N (N P) T2 P (N + 1) (N 1) follows an F distribution with p and N p degrees of freedom If the above transformed value of the T2 statistic is greater than the tabulated F value for a given level of signi cance, , X (n) is considered to be an out-of-control anomaly As described in 9, many data variables from computer and network systems have a probability distribution other than a normal distribution, thus the multivariate normal distribution assumption of Hotelling s T2 control chart is likely not satis ed for many data variables which are monitored for cyber attack detection The inverse of the covariance matrix in Formula 1414, S 1 , cannot be computed for some data variables which have approximately linear relationships If p is large, an attempt to hold a large matrix, S 1 , in the memory of a computer may cause the memory to over ow, or the computation takes too long due to the swapping of data between the memory and the disk to making it impractical is cyber attack detection which requires real-time processing of incoming data at a fast pace To overcome the above problems of conventional multivariate SPC techniques, the scalable CSDM method [10 16] has been developed to monitor multivariate data and detect anomalies Considering that Hotelling s T2 statistic in Formula 1414 measures the statistical distance of a data observation from the in-control data population, the CSDM method de nes and applies a more scalable distance measure to a data observation, x(n):.

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