Biomass Energy and Environmental Engineering Research Center, College of Chemical Engineering, Beijing University of Chemical Technology, 505 Zonghe Building, 15 North 3rd Ring East Road, Beijing, 100029, China.
Environ Sci Pollut Res Int. 2021 Oct;28(38):54177-54186. doi: 10.1007/s11356-021-15798-y. Epub 2021 Aug 17.
With the development of agriculture, a huge amount of vegetable waste (VW) is produced every year, posing a large considerable environmental problem that cannot be ignored. Anaerobic digestion (AD), as an eco-friendly, efficient, and sustainable biomass conversion technology, may be used to address the pollution caused by VW. The compositional components of various VWs are different, which will affect their biomethane potential and directly determine whether they are suitable substrates for AD. Thus, this study involved a systematic analysis of the composition and biomethane potential of 20 typical VWs. The results showed that the methane yields of the VWs were different (207.5-346.3 mL/g VS) owing to the differences in composition. More importantly, a correlation between the contents of organic components and methane production was established, and then used to predict methane production by VW rapidly. In addition, first-order model, modified Gompertz, and Cone models were used to describe the biochemical methanogenesis mechanism of these VWs. The results of this study can provide a reference for fundamental research on the AD of VW as well as serve a convenient and precise method to predict methane production by different VWs through analyzing compositional components, which will be beneficial for pollution prevention and the comprehensive utilization of VW in the future.
随着农业的发展，每年都会产生大量的蔬菜废物（VW），这是一个不可忽视的巨大环境问题。厌氧消化（AD）作为一种环保、高效、可持续的生物质转化技术，可用于解决 VW 造成的污染。各种 VW 的组成成分不同，这将影响它们的生物甲烷潜力，并直接决定它们是否适合 AD 作为底物。因此，本研究系统分析了 20 种典型 VW 的组成成分和生物甲烷潜力。结果表明，由于组成成分的不同，VW 的甲烷产量（207.5-346.3 mL/g VS）也有所不同。更重要的是，建立了有机成分含量与甲烷生成之间的相关性，并用于快速预测 VW 的甲烷生成量。此外，还使用一级模型、修正的 Gompertz 模型和 Cone 模型来描述这些 VW 的生化甲烷生成机制。本研究结果可为 VW 的 AD 基础研究提供参考，并通过分析组成成分，为预测不同 VW 的甲烷生成提供一种方便、精确的方法，这将有利于未来的污染防治和 VW 的综合利用。
