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Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression.

Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression. Research Abstract Details 

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  • Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression. Abstract Text:

    shane m rutherfurdShane M Rutherfurd,audrey schneuwlyAudrey Schneuwly,paul j moughanPaul J Moughan,shane m rutherfurdShane M Rutherfurd,audrey schneuwlyAudrey Schneuwly,paul j moughanPaul J Moughan,

    Five feedstuffs were oxidized using performic acid, and these, along with their unoxidized counterparts, were acid hydrolyzed for multiple times (0-144 h) in degassed and vacuum-sealed glass tubes. The methionine sulfone, cysteic acid, methionine, and cysteine contents were determined for each hydrolysis time. Least-squares nonlinear regression of the sulfur amino acid contents and hydrolysis time was used to predict the actual sulfur amino acid content as well as the hydrolysis and loss rates. Least-squares nonlinear regression estimates for methionine content compared well with those of methionine sulfone for most of the feedstuffs tested. In contrast, the estimates for cysteine agreed poorly with cysteic acid. The loss rates during acid hydrolysis for methionine, methionine sulfone, and cysteic acid were low. Overall, acid hydrolysis in an evacuated sealed tube for 24 h without prior oxidation is suitable for methionine, but not cysteine, quantitation in some complex feedstuffs.

    Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression. Publishing Authors By Initials

    sm rutherfurdSM Rutherfurd,a schneuwlyA Schneuwly,pj moughanPJ Moughan,sm rutherfurdSM Rutherfurd,a schneuwlyA Schneuwly,pj moughanPJ Moughan,

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    Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of agricultural and food chemistry

    VOLUME: 55

    Page Numbers: 8019-24

    Journal Abbreviation: J. Agric. Food Chem.

    ISSN: 0021-8561

    DAY: 23

    MONTH: 08

    YEAR: 2007

    Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression. Information

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    LANGUAGE: eng

    NlmUniqueID: 374755

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    Grant and Affiliation Information for Analyzing sulfur amino acids in selected feedstuffs using least-squares nonlinear regression.

    AFFILIATION: Institute of Food, Nutrition and Human Health and Riddet Centre, Massey University, Palmerston North, New Zealand. S.M.Rutherfurd@massey.ac.nz

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: J Agric Food Chem

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