CC BY-NC

This book traces the origins, history, and memory of the Jalayirid dynasty, a family that succeeded the Mongol Ilkhans in Iran and Iraq in the 14th and early 15th centuries. The story of how the Jalayirids came to power is illustrative of the political dynamics that shaped much of the Mongol and post-Mongol period in the Middle East. The Jalayirid sultans sought to preserve the social and political order of the Ilkhanate, while claiming that they were the rightful heirs to the rulership of that order. Central to the Jalayirids' claims to the legacy of the Ilkhanate was their attempt to control the Ilkhanid heartland of Azarbayjan and its major city, Tabriz. Control of Azarbayjan meant control of a network of long-distance trade between China and the Latin West, which continued to be a source of economic prosperity through the 8th/14th century. Azarbayjan also represented the center of Ilkhanid court life, whether in the migration of the mobile court-camp of the ruler, or in the complexes of palatial, religious and civic buildings constructed around the city of Tabriz by members of the Ilkhanid royal family, as well as by members of the military and administrative elite.This title was made Open Access by libraries from around the world through Knowledge Unlatched.

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CC BY

In the field of Analytical Chemistry and, in particular, whenever a quali-quantitative analysis is required, until a few years ago, reference was made exclusively to instrumental methods (more or less hyphenated) which, once validated, were able to provide the answers to the questions present, even if only in a limited way to analytical targets. Nowadays, the landscape has become considerably complicated (natural adulterants, assessment of geographical origin, sophistication, need for non-destructive analysis, search for often unknown compounds), and new procedures for processing data have greatly increased the potential of analyses that are conducted (even routinely) in the laboratory. In this scenario, chemometrics is master, able to manage and process a huge amount of information based both on data relating only to the analytes of interest, but also by applying “general” procedures to process raw untargeted analysis data. It is within this strand of analysis that many of the works reported in this Special Issue fall. In the succession of works in this printed version, the criterion that guided us was to highlight how—starting exclusively from chromatographic techniques (HPLC and GC) with conventional detectors and moving to exclusively spectroscopic techniques (MS, FT-IR and Raman)—it is possible arrive at extremely powerful coupled techniques and procedures (HPLC and FT-IR) able to meet research needs. Finally, at the end of the printed volume, there are two reviews that surveying the state of the art regarding the assessment of authenticity through qualitative analyses and the application of chemometrics in the pharmaceutical field in the study of forced drug degradation products. From the succession of works (and, above all, from the various application fields) it can immediately be seen how the application of chemometrics and its procedures to both raw and processed data is a powerful means of obtaining robust, reproducible, and predictive information. In this manner, it is possible to create models able to explain and respond to the original problem in a much more detailed way. , and Honghe through Fourier transform mid infrared (FT-MIR) spectra combined with partial least squares discriminant analysis (PLS-DA), random forest (RF), and hierarchical cluster analysis (HCA) methods. Melucci and collaborators apply chemometric approaches to non-destructive analysis of ATR-FT-IR for the determination of biosilica content. This value was directly evaluated in sediment samples, without any chemical alteration, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, and the quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Still in the food and food supplements field, Anguebes-Franseschi and collaborators report an article where 10 chemometric models based on Raman spectroscopy were applied to predict the physicochemical properties of honey produced in the state of Campeche, Mexico.

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