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The Phosphorus Cycle

The Phosphorus Cycle

Unlike carbon, water, and nitrogen, phosphorus is not present in the atmosphere as a gas. Instead, most phosphorus in the ecosystem exists as compounds, such as phosphate ions (PO43-), found in soil, water, sediment and rocks. Phosphorus is often a limiting nutrient (i.e., in short supply). Consequently, phosphorus is added to most agricultural fertilizers, which can cause environmental problems related to runoff in aquatic ecosystems.

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相关实验视频

Updated: Jun 8, 2025

Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method

Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method

Published on: May 18, 2018

酸盐溶解真菌 (PSF) - - 通过人工智能计算来调解溶解和验证.

Fatih Ölmez¹, Zemran Mustafa², Şahimerdan Türkölmez³

¹Department of Plant Protection, Faculty of Agricultural Sciences and Technology, Sivas University of Science and Technology, Sivas, Turkey.

World journal of microbiology & biotechnology

|November 2, 2024

概括

酸盐溶解真菌 (PSF) 菌株Aspergillus funiculosus显著提高了各种酸盐来源和pH水平的溶性. 人工智能模型验证了这些发现,突出了可持续农业的潜力.

关键词:

塔拉罗米克斯 (Talaromyces funiculosus) 是一种有趣的植物.人工智能的人工智能是人工智能.机器学习是机器学习.它们的pH值为pH.含有的含量的人.

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Extraction and Analysis of Microbial Phospholipid Fatty Acids in Soils

Extraction and Analysis of Microbial Phospholipid Fatty Acids in Soils

Published on: August 26, 2016

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Published on: July 22, 2019

相关实验视频

Last Updated: Jun 8, 2025

Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method

Optimized Procedure for Determining the Adsorption of Phosphonates onto Granular Ferric Hydroxide using a Miniaturized Phosphorus Determination Method

Published on: May 18, 2018

Extraction and Analysis of Microbial Phospholipid Fatty Acids in Soils

Extraction and Analysis of Microbial Phospholipid Fatty Acids in Soils

Published on: August 26, 2016

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Published on: July 22, 2019

科学领域:

微生物学和土壤科学微生物学和土壤科学
农业生物技术农业生物技术
计算生物学计算生物学

背景情况:

(P) 是植物生长的关键营养素,通常由于其在土壤中的溶解性较低而受到限制.
酸盐溶解真菌 (PSF) 提供了一种可持续的方法来提高农业系统中的可用性.
Aspergillus funiculosus是一种已知的PSF,但其在各种条件中的有效性及其优化需要进一步调查.

研究的目的:

为了研究Aspergillus funiculosus在各种酸盐来源和pH水平上的溶解潜力.
使用人工智能 (AI) 和机器学习 (ML) 模型验证和预测实验数据.
确定最大限度地提高T. funiculosus的溶解的最佳条件.

主要方法:

用五种不同的酸盐来源 (Ca3(PO4) 2,FePO4,CaHPO4,AlPO4,phytin) 在五种pH值 (4.5-7.5) 培养Aspergillus funiculosus.
使用ANOVA,帕雷托图表和正常图表进行统计分析.
使用多层感知器 (MLP),随机森林 (RF) 和极端梯度增强 (XGBoost) 的AI/ML模型开发和验证.

主要成果:

与对照组相比,Aspergillus funiculosus的酸盐可溶性增加了五倍.
在pH 4.5和CaHPO4作为酸盐来源下观察到最大可溶性P的最佳条件.
植物素和pH值4.5的组合产生了最高的溶解 (1,537,988 ppb). 射频模型获得了最高的R2得分 (0.944).

结论:

Aspergillus funiculosus 具有显著的潜力可溶解各种酸盐来源,特别是在酸性条件下.
人工智能/ML模型有效验证了实验结果,证明了它们在预测微生物溶解效率方面的实用性.
这些发现支持在农业中可持续地应用Aspergillus funiculosus,以改善的可用性.