Standard Method Performance Requirements (SMPRs®) 2018.002: Fructans in Animal Food (Animal Feed, Pet Food, and Ingredients)

Szpylka, John; Thiex, Nancy; Acevedo, Belisario; Albizu, Asier; Angrish, Parul; Austin, Sean; Knudsen, Knuk Erik Bach; Barber, Charles A; Berg, Daniel; Bhandari, Sneh; Bienvenue, Annie; Cahill, Kaitlin; Caldwell, Jane M.; Campargue, Christian; Collison, Mark W.; Cornaggia, Claudio; Cruijsen, Hans; Das, Manisha; Vreeze, Marcel De; Deutz, Inge; Donelson, J. R.; Dubois, Aurélie; Duchateau, Gustaaf S; Duchateau, Lucien; Ellingson, David; Gandhi, Jay; Gottsleben, Frank; Hache, Jonathan; Hagood, Gale; Hamad, Mohamed Nour-Eldin Farid; Haselberger, Philip; Hektor, Thomas; Hoefling, Ryan; Holroyd, Stephen E.; Holt, Douglas L.; Horst, Jeff G; Ivory, Ruth; Jaureguibeitia, Arrate; Jennens, Martha; Kavolis, Diana; Kock, Lindsay; Konings, Erik J M; Krepich, Scott; Krueger, Dana A; Lacorn, Markus; Lassitter, Cheryl L; Lee, Sookwang; Li, Han; Liu, Alex; Li, Kai; Lusiak, Bozena D; Lynch, Eva; Maštovská, Kateřina; McCleary, Barry V.; Mercier, Gaston M; Metra, Pierre L; Monti, Lucia; Moscoso, Carlos Jhonatan; Narayanan, Hari; Parisi, Salvatore; Perinello, Giampaolo; Phillips, Melissa M.; Pyatt, Susan; Raessler, Miachael; Reimann, Lars M; Rimmer, Catherine A.; Rodríguez, Alejandra; Romano, Joseph P.; Salleres, Sandra; Śliwiński, Mariusz; Smyth, Georgina; Stanley, Kathryn; Steegmans, Monique; Suzuki, Hiroko; Swartout, Kathy; Tahiri, Naim; Eyck, Richard Ten; Rodriguez, Marina Graciela Torres; Slate, James Van; Soest, P.J. Van; Vennard, Tom; Vidal, Roberta; Hedegaard, Rikke Susanne Vinbord; Vrasidas, Ioannis; Vrasidas, Yannis; Walford, S. N.; Wehling, Paul; Winkler, Paul; Winter, Ronald; Wirthwine, Bryan; Wolfe, Doug; Wood, Laura J.; Woollard, David C; Yadlapalli, Sudhakar; Yan, Xiao; Yang, Jinchuan; Yang, Zheng; Zhao, Guhong

doi:10.5740/jaoacint.smpr2018.002

Cited by 14 publications

(1 citation statement)

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“…Recent data show that inulin-rich diets can benefit gut microbiome, notwithstanding, routine inulin analysis in feeds is uncommon [327]. It was not until very recently that the minimal performance requirements were established for fructans analysis in feed, pet food, and their ingredients [328]. However, excess dietary fructans have demonstrated adverse health effects in equines [329].…”

Section: The Common Ground Among Measurements Performed In Food Anmentioning

confidence: 99%

Liquid Chromatography Analysis of Common Nutritional Components, in Feed and Food

Cortés-Herrera

Artavia

Leiva

et al. 2018

Foods

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Food and feed laboratories share several similarities when facing the implementation of liquid-chromatographic analysis. Using the experience acquired over the years, through application chemistry in food and feed research, selected analytes of relevance for both areas were discussed. This review focused on the common obstacles and peculiarities that each analyte offers (during the sample treatment or the chromatographic separation) throughout the implementation of said methods. A brief description of the techniques which we considered to be more pertinent, commonly used to assay such analytes is provided, including approaches using commonly available detectors (especially in starter labs) as well as mass detection. This manuscript consists of three sections: feed analysis (as the start of the food chain); food destined for human consumption determinations (the end of the food chain); and finally, assays shared by either matrices or laboratories. Analytes discussed consist of both those considered undesirable substances, contaminants, additives, and those related to nutritional quality. Our review is comprised of the examination of polyphenols, capsaicinoids, theobromine and caffeine, cholesterol, mycotoxins, antibiotics, amino acids, triphenylmethane dyes, nitrates/nitrites, ethanol soluble carbohydrates/sugars, organic acids, carotenoids, hydro and liposoluble vitamins. All analytes are currently assayed in our laboratories.

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Section: The Common Ground Among Measurements Performed In Food Anmentioning

confidence: 99%