The Jewish community archive in Pisa owns a vast collection of documents and manuscripts that date back centuries. These documents contain valuable genealogical information, including birth, marriage, and death records. This paper aims to describe the preliminary results of the Archivio Storico della Comunita Ebraica di Pisa (ASCEPI) project, with a focus on the extraction of data from the Nati, Morti e Ballottati (NMB) Registry document in the archive. The NMB Registry contains about 1900 records of births, deaths, and balloted individuals within the Jewish community in Pisa. The study uses a semiautomatic pipeline of digitization, transcription, and Natural Language Processing (NLP) techniques to extract personal data such as names, surnames, birth and death dates, and parental names from each record. The extracted data are then used to build a knowledge base and a genealogical tree for a representative family, Supino. This study demonstrates the potential of using NLP and rule-based techniques to extract valuable information from historical documents and to construct genealogical trees.
Background
Aflatoxin M1 (AFM1) is the major metabolite of Aflatoxin B1 (AFB1) and can be found in the milk of animals fed with feed containing AFB1. The frequency of occurrence of AFM1 in milk has led to the development of specific quantitative methods of analysis to mitigate the risk of adversely affect human health. Objective: The objective was to demonstrate that I’screen AFLA M1 Milk ELISA kit can quantify AFM1 in raw bovine milk and in powdered milk.
Methods
Assay performance was evaluated studying lot-to-lot consistency, assay stability, robustness and possible interferences of related molecules. Raw bovine milk samples spiked at 0, 5.0, 20, 50, 100, 200 ng/L of AFM1 and powdered milk reference materials and spiked samples at 100 and 200 ng/L were tested to determine recovery, repeatability and bias. LOD and LOQ were also determined for both matrixes. Results: High selectivity for AFM1 was demonstrated and performances were consistent, robust and stable. The LOQ was validated at 5 ng/L for raw milk and 50 ng/L for powdered milk. Recoveries for spiked raw and powdered milk were 97–122%, with RSDr < 10%, and 106–111% for reference materials, with RSDr < 5%. Conclusions: The data collected validate the method as a selective, specific, sensitive, accurate and precise tool for the analysis of AFM1 in raw bovine milk and powdered milk. Highlights: We demonstrated that I’screen AFLA M1 is a reliable kit and a proper screening tool suitable for high analytical throughputs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.