Volatile Organic Compounds,Spectral Characterization and Morphology of Ammonium Nitrate Fuel Oil (ANFO) Samples

Ammonium nitrate fuel oil is an explosive mixture found in most antipersonnel landmines (APL) buried throughout the Colombian territory. During more than 50 years of internal conflict, the Colombian government has found that trained dogs are the most effective method to detect APL. However, the olfactive signature in ANFO is unknown and also if there are differences in detection related to the explosive manufacturing origin. Therefore, this work begins with the analytical validation of the method used to determine ammonia, in its derivatized form as carbamate, released by home-made ANFO using HS-SPME-GC-FID. Once validated, the method was used to identify ammonia and other organic volatile compounds present in ANFO, under laboratory and simulated field conditions. The validation process includes the evaluation of the optimum conditions for the derivation and extraction of butylcarbamate, the determination of the working ranges with linear response in FID, the limits of detection and quantification, the sensitivity, and the precision. The results of the validation established linearity and sensitivity in a concentration between 20 and 120 mg/L, as well as low limits of detection and quantification of 6.4 and 21.4 mg/L, respectively. Also, an intermediate precision of 11% for butylcarbamate with a repeatability of 8%. The validated method showed in real samples of home-made ANFO besides ammonia, the presence of low molecular methylamines, and also exhibited differences in volatile compositions according to the origin. The objective of this work is to offer a reliable analytical methodology for the extraction and analysis of volatile compounds from ANFO.     

Political Scandals,Newspapers, and the Election Cycle

Political Behavior - Election outcomes are often influenced by political scandals. While a scandal usually has negative consequences for the ones being accused of a transgression, political...     

Good news and bad news: evidence of media bias in unemployment reports

This study employs information obtained from media content analyses, as well as economic and political data, to investigate negativity in unemployment news between 2001 and 2010 in Germany. The data indicate a substantial bias in terms of the amounts of negative and positive reports, compared with the actual development of unemployment. Moreover, the media tend to place negative unemployment reports more prominently than positive ones. The estimates suggest that the bias is not the consequence of journalists asymmetrically interpreting the official unemployment numbers. Instead, it is associated with the exploitation of often non-economic information and structural influences in the process of news production.