Laccase, an oxidative enzyme, was used to catalyze the hetero and homo covalent conjugation between ferulic acid in sugar beet pectin (SBP) and tyrosine in heated β-lactoglobulin (H_BLG). The conjugation of SBP and H_BLG was confirmed by peak position using size exclusion chromatography, multi angle laser light scattering, refractive index, and UV detection. H_BLG, pre-treated with laccase, eluted at an earlier volume with greater UV280 absorbance than non-laccase treated dispersions. Tyrosine decreased in H_BLG that contained laccase treated SBP samples. Heat enhanced exposure of tyrosine in BLG and improved conjugation with SBP by laccase. H_BLG·SBP conjugates with laccase had improved solubility than laccase untreated dispersions at pH values near the isoelectric point of BLG.
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http://dx.doi.org/10.1016/j.carbpol.2012.04.028 | DOI Listing |
J Anim Sci
January 2025
Department of Animal Science, South Dakota State University, Brookings, SD, 57007, USA.
The utilization of exogenous fiber-degrading enzymes in commercial swine diets is a strategy to increase the nutrient and energy density of poorly digestible ingredients. In a prior set of studies, dietary multienzyme blend (MEblend) supplementation increased the apparent total tract digestibility (ATTD) of nutrients, non-starch polysaccharides, and energy in complete high-fibrous gestation diets by 6% when fed to gestating sows. The current study aimed to determine the effects of MEblend (containing xylanase, β-glucanase, cellulase, amylase, protease, pectinase, and invertase activities) supplementation on ATTD of energy and nutrients of individual feedstuffs commonly used in gestating sow diets across major pork-producing regions worldwide, which differ in their fibrous components.
View Article and Find Full Text PDFHeliyon
January 2025
Laboratory of Plant Protection, National Institute of Agronomic Research of Tunisia, University of Carthage, Rue Hedi Karray, 2049, El-Menzah, Tunisia.
subsp. (L.) Arcang.
View Article and Find Full Text PDFFront Plant Sci
January 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Weeds are a major factor affecting crop yield and quality. Accurate identification and localization of crops and weeds are essential for achieving automated weed management in precision agriculture, especially given the challenges in recognition accuracy and real-time processing in complex field environments. To address this issue, this paper proposes an efficient crop-weed segmentation model based on an improved UNet architecture and attention mechanisms to enhance both recognition accuracy and processing speed.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Horticulture and Landscape Architecture and Center for Rhizosphere Biology, Colorado State University, Fort Collins, Colorado, United States of America.
Root and rhizosphere studies often focus on analyzing single-plant microbiomes, with the literature containing minimum empirical information about the shared rhizosphere microbiome of multiple plants. Here, the rhizosphere of individual plants was analyzed in a microcosm study containing different combinations and densities (1-3 plants, 24 plants, and 48 plants) of cover crops: Medicago sativa, Brassica sp., and Fescue sp.
View Article and Find Full Text PDFPlant Methods
January 2025
Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079, Göttingen, Germany.
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