@masterthesis{Gauri, type = {Bachelor Thesis}, author = {Gauri, Kshama}, title = {Feasibility of Pfeiffer's Circular Chromatography for testing soil and compost quality in the Environmental Labs at HSRW.}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1383-opus4-18268}, school = {Hochschule Rhein-Waal}, pages = {60}, abstract = {The utilization of a simple test, such as Pfeiffer's Circular Chromatography (PCC), has the potential to provide deeper insights into all the parameters affecting soil health. However, despite its promise, the method has yet to attain widespread adoption among farmers and universities, primarily due to challenges in interpreting its outcomes. This thesis investigates the application of PCC as a technique for soil analysis at Hochschule Rhein Waal University. The paper analyses compost and soil samples sourced from the Rhein Ruhr region, focusing on the potential of PCC in determining chemical parameters, including nitrate content, pH, and organic matter quantity. As a result, the aforementioned chemical parameters were documented and the economic viability of the methods were compared to PCC. The development of PCC is dependent on environmental conditions. To explore this aspect, the test was conducted under different lighting conditions and assessed by various researchers to gauge its interpretability. The paper evaluates the test's reliability based on its reproducibility. The PCC results were found to be sensitive to environmental conditions; nevertheless, the method displays potential in assessing overall soil and compost health on a relative scale. The paper suggests improvements to enhance the technique's quality and provides recommendations for further research to explore the various possibilities of PCC and its interpretation. In conclusion, with additional research and data collection on the PCC method coupled with the integration of existing technologies such as machine learning and AI, the potential exists to provide farmers with a rapid technique for assessing their soil.}, language = {en} }