Engineering Laboratory for Agro-biomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing 100083, China.
Engineering Laboratory for Agro-biomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing 100083, China.
Waste Manag. 2020 Jun 1;110:87-97. doi: 10.1016/j.wasman.2020.05.018. Epub 2020 May 24.
The heterogeneity and complex composition of crop straw are some of the main obstacles to its scientific and efficient industrial utilization. To thoroughly reveal and identify the composition of different crop straw types and their latent attributes, in this study, 784 straw samples of rice, wheat, corn, rape and cotton were collected. Based on the large sample size, 18 composition characteristics, including chemical composition, proximate composition, ultimate composition, and heating values, were adopted to determine the profiles of the crop straw composition characteristics. Correlation analysis and 7 different types of multivariate analysis were applied and compared. The results indicated that among the 18 characteristics, hemicellulose, water-soluble carbohydrates, crude proteins, phosphorus, fixed carbon, hydrogen, nitrogen, and sulfur had non-normal distributions. Spearman method was a more suitable correlation analysis approach for the crop straw characteristics than Pearson method. The results of the different multivariate analysis methods were reflected in the different classification attributes of water-soluble carbohydrates, phosphorus, hydrogen and sulfur. Non-parametric principal component analysis and non-parametric exploratory factor analysis provided consistent results. The characteristics could be divided into 4 categories of intrinsic associated attributes, namely, (1) lignin, volatile matter, fixed carbon, carbon, hydrogen, higher heating value, and lower heating value; (2) potassium, ash, and sulfur; (3) cellulose, hemicellulose, moisture, and oxygen; and (4) water-soluble carbohydrates, crude proteins, phosphorus, and nitrogen, which exhibited combustion positive, combustion negative, biochemical conversion, and nutritional property, respectively. The study results provide data and methodology support for the development of crop straw utilization strategies.
作物秸秆的异质性和复杂组成是其科学高效工业利用的主要障碍之一。为了彻底揭示和识别不同作物秸秆类型的组成及其潜在属性,本研究采集了 784 个水稻、小麦、玉米、油菜和棉花秸秆样本。基于大样本量,采用了包括化学组成、近似组成、最终组成和热值在内的 18 种组成特征来确定作物秸秆组成特征的分布情况。本研究应用并比较了相关性分析和 7 种不同类型的多元分析方法。结果表明,在所研究的 18 种特征中,半纤维素、水溶性碳水化合物、粗蛋白、磷、固定碳、氢、氮和硫呈非正态分布。与 Pearson 方法相比,Spearman 方法更适合用于作物秸秆特征的相关性分析。不同多元分析方法的结果反映在水溶性碳水化合物、磷、氢和硫的不同分类属性上。非参数主成分分析和非参数探索性因子分析提供了一致的结果。这些特征可以分为 4 组内在相关属性,分别为:(1)木质素、挥发物、固定碳、碳、氢、高热值和低热值;(2)钾、灰分和硫;(3)纤维素、半纤维素、水分和氧;以及(4)水溶性碳水化合物、粗蛋白、磷和氮,它们分别表现出燃烧正相关、燃烧负相关、生物化学转化和营养特性。本研究结果为制定作物秸秆利用策略提供了数据和方法学支持。