Trace analysis of peroxide explosives by high performance liquid chromatography-atmospheric pressure chemical ionization-tandem mass spectrometry (HPLC-APCI-MS/MS) for forensic applications

An HPLC-APCI-MS(/MS) method for the (trace) analysis of the most commonly encountered peroxide explosives, hexamethylenetriperoxidediamine (HMTD) and triacetonetriperoxide (TATP), has been developed. With this method, HMTD and TATP have been analyzed in the same run. (Pseudo-)molecular ions of these peroxides have been obtained as base peak under the same condition. A series of product ions was produced from these pseudo-molecular ions ([HMTD - 1]+ and [TATP + NH4]+) in the MS/MS analysis. We also pioneered in showing that a TATP molecular ion [TATP + H]+ can be observed with HPLC-MS/MS. The limit of detection for HMTD and TATP was 0.26 and 3.3 ng, respectively, on column by HPLC-MS in the Full Scan mode and 0.08 and 0.8, respectively, by HPLC-APCI-MS/MS in Selected Reaction Monitoring (single mass unit) mode. The method presented has been applied successfully for the identification of peroxides in the bulk solid state (powder sample), as well as in post-blast extracts originating from a forensic case. For the post-blast extracts, the use of tandem MS has been shown clearly to be of crucial importance for the identification and detection of the peroxide explosives.     

Explaining Regulatory Non-compliance: A Survey Study of Rule Transgression for Two Dutch Instrumental Laws, Applying the Randomized Response Method

Within a rational choice framework, secondary data analysis of a survey study on compliance with two Dutch regulatory laws is carried out. Selection of explanatory variables to be considered is guided by a heuristic device, called the Table-of-Eleven. Using adapted logistic regression analysis, we show that self-reported compliance, measured by means of a randomized response procedure, can be explained in terms of benefits of non-compliance, social norms and deterrence, while knowledge and general norm-conformity have no role to play. The impact of various contributing factors turns out to be rather different in size for the two laws.     

What Patent Data Reveal about Universities: The Case of Belgium

In recent years, there has been a surge in patenting by Belgian universities. It appears that this increase can be attributed to growth of biotechnology, where there is a greater propensity to patent, to a desire on the part of universities to enhance commercialization through technology transfer offices (TTOs), and to effective collaboration between universities and government-sponsored research centers. Our qualitative analysis reveals that patent statistics could be a misleading indicator of an individual university's technological productivity, since many inventions are developed at universities, yet applied by other institutions.     

Aroma Philosophorum: The Case of CAsanova

Law and Critique - The degree of truth of Casanova’s History of My Life is a matter of heated debate. Doubt has been cast particularly on whether his stories of incest with his daughters...     

Unitary regulatory supervision or multi-entity supervision? A computational approach to a numbers problem in financial regulation

Policymakers globally have debated (and often implemented) the idea of consolidating numerous financial regulatory supervisory entities into one unitary entity. This article uses a computational model to explore the effect such a decision would have on supervisory performance. Using insights from organizational scholarship on consensus-making among individuals within organizations, the simulation suggests that under most conditions a unitary supervisory entity yields lower performance than smaller, numerous entities with unique mandates, keeping the number of regulatory inspectors constant. This result arises from the heterogeneity of perspectives being shared within the entity and the influence of precedent actions. The results also show a decreasing utility to disaggregation: performance decreases when too few inspectors share among themselves in building consensus. When insufficient heterogeneity within supervisors exists, unitary frameworks outperform multi-entity frameworks. These findings have implications on the design of supervisory frameworks and contribute to research on consensus-building, heterogeneous group membership, and computational modeling.