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通过康奈尔净碳水化合物和蛋白质系统将生物炼制厂输出的蛋白质质量与饲料作物粗蛋白投入联系起来。

Linking Protein Quality in Biorefinery Output to Forage Crop Crude Protein Input via the Cornell Net Carbohydrate and Protein System.

机构信息

Department of Agroecology, Aarhus University, Blichers alle 20, 8830, Tjele, Denmark.

Department of Animal Science, Aarhus University, Blichers alle 20, 8830, Tjele, Denmark.

出版信息

Appl Biochem Biotechnol. 2021 Aug;193(8):2471-2482. doi: 10.1007/s12010-021-03496-x. Epub 2021 Mar 25.

Abstract

The biorefinery technology aiming at protein extraction is rising and identification of suitable plant biomass input with valuable protein compounds for extraction is needed. Forage crops have been evaluated by the Cornell Net Carbohydrate and Protein System (CNCPS), and the result used as proxy of extractable protein in a biorefinery process. This serves as a helpful link between crop production and refinery output; however, the method has never been validated. Such validation is the main aim of this study. Five forage species-white clover, red clover, lucerne, perennial ryegrass, and tall fescue-were cut at four dates during spring and processed in a lab-scale refinery (screw press and subsequent protein precipitation from the green juice). The pulp fraction and the precipitated protein concentrate were both CNCPS analyzed to follow the initial crude protein (CP) plant input into these two fractions. Total recovery in concentrate was highest for the legumes, which points to an advantage of these species in protein extraction setups. High recovery of B1 and B2 (50% or higher for the grasses) in the pulp demonstrated a large proportion of soluble protein ending up in the fibrous pulp and shed light on the reason behind high feed quality of the pulp fraction. In conclusion, the existing tentative assumption of extractable protein being equal to CNCPS fractions of B1 and B2 and partly B3 was shown to be too simplified. The presented findings can improve crop species screening in terms of expected extractable protein yield.

摘要

以提取蛋白质为目的的生物炼制技术正在兴起,因此需要确定具有有价值蛋白质化合物的合适植物生物质输入。饲料作物已经通过康奈尔净碳水化合物和蛋白质系统 (CNCPS) 进行了评估,并且将结果用作生物炼制过程中可提取蛋白质的替代物。这是作物生产和炼油厂产量之间的有益联系;然而,该方法从未经过验证。这就是本研究的主要目的。在春季的四个时期,对五种饲料作物——白三叶草、红三叶草、紫花苜蓿、多年生黑麦草和高羊茅——进行了切割,并在实验室规模的炼油厂(螺杆压榨机和随后从绿色汁液中沉淀蛋白质)中进行了加工。通过 CNCPS 分析了果肉部分和沉淀的蛋白质浓缩物,以追踪初始粗蛋白(CP)植物输入到这两个部分中。豆科植物的浓缩物总回收率最高,这表明这些物种在蛋白质提取装置中具有优势。果肉中 B1 和 B2 的高回收率(草类中 50%或更高)表明大量可溶性蛋白质最终进入纤维状果肉中,并揭示了果肉部分高饲料质量的原因。总之,现有的关于可提取蛋白质等于 CNCPS 的 B1、B2 和部分 B3 分数的假设被证明过于简单化。所提出的发现可以提高预期可提取蛋白质产量方面的作物物种筛选。

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