کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1203314 | 1493609 | 2013 | 10 صفحه PDF | دانلود رایگان |

• Development in instrumentation should lead to development of methods to treat data.
• Reliable data processing is essential for a detailed description of adsorption.
• Wrong conclusions are drawn if the raw data is not processed correctly.
• Important information is lost using oversimplified data processing models.
In this study we demonstrate the importance of proper data processing in adsorption isotherm estimations. This was done by investigating and reprocessing data from five cases on two closely related platforms: liquid chromatography (LC) and biosensors. The previously acquired adsorption data were reevaluated and reprocessed using a three-step numerical procedure: (i) preprocessing of adsorption data, (ii) adsorption data analysis and (iii) final rival model fit. For each case, we will discuss what we really measure and what additional information can be obtained by numerical processing of the data. These cases clearly demonstrate that numerical processing of LC and biosensor data can be used to gain deeper understanding of molecular interactions with adsorption media. This is important because adsorption data, especially from biosensors, is often processed using old and simplified methods.
Journal: Journal of Chromatography A - Volume 1317, 22 November 2013, Pages 22–31