Rapid and accurate serotyping of Salmonella (S.) enterica subsp. enterica serovars is essential for effective public health surveillance, outbreak control, and food safety management. Traditional serotyping, although considered the gold standard, is time-consuming, technically demanding, and costly. This study aimed to evaluate the applicability of artificial intelligence (AI)-enhanced Fourier-transform infrared (FT-IR) spectroscopy using an IR Biotyper (Bruker Daltonics, Bremen, Germany) for the rapid and accurate serotyping of Salmonella enterica subsp. enterica isolates in Croatia. Materials and Methods: A total of 143 isolates representing different S. enterica serovars of human and food origin were analysed using the IR Biotyper. Each strain was tested in three biological and at least three technical replicates. The obtained results were compared with traditional serotyping according to the Kauffmann–White–Le Minor scheme. Isolate identification at the genus level was further confirmed by MALDI-TOF mass spectrometry. Results: The IR Biotyper demonstrated high reproducibility and complete concordance with standard serotyping methods, enabling accurate differentiation of the most prevalent S. enterica serovars in Croatia. Conclusions: Our findings demonstrate the applicability of FT-IR in routine laboratory work, with the potential to reduce typing time, reduce the number of strains, and lower overall costs required for epidemiological surveillance within the One Health approach.

This review evaluates the occurrence and epidemiological trends of major foodborne zoonotic pathogens in the European Union, with particular emphasis on the Republic of Croatia, over the period 2020-2024. Using the One Health framework, data were synthesised from annual zoonosis reports of the European Food Safety Authority (EFSA) and the European Centre for Disease Prevention and Control (ECDC), complemented by targeted national and regional studies. Following a temporary, pandemic-related decline in 2020, largely attributable to COVID-19 related disruptions in surveillance and behavioral changes, notification rates for most foodborne pathogens rebounded and stabilised at pre-pandemic or higher levels. Campylobacteriosis remained the most frequently reported zoonosis, while salmonellosis persisted at consistently high levels, with notable shifts in serovar distribution, including the emergence of Salmonella Infantis. Listeriosis, although less frequent, demonstrated the highest hospitalisation and case fatality rates, with a continued upward trend. Shiga toxin-producing Escherichia coli (STEC) infections increased substantially, partly due to improved molecular diagnostics and enhanced surveillance sensitivity. Unlike existing consolidated EFSA/ECDC reports, this review highlights the importance of regional data for identifying localised hotspots and more precisely understanding transmission dynamics. This more detailed perspective emphasises the need for continuous, integrated surveillance across the human, veterinary, and environmental sectors to effectively address evolving, region-specific risks related to pathogen adaptation, antimicrobial resistance, and climate-related pressures within the food supply chain.

Contamination of ready‐to‐eat (RTE) foods with Listeria monocytogenes represents a significant public health concern, particularly due to the limited data available on its prevalence in traditional Croatian RTE products. This study is aimed at determining the prevalence of L. monocytogenes in traditional dried RTE meat products sampled from local markets in Zagreb, characterizing the genomic features of the isolated strains, and assessing their potential public health implications. A total of 50 RTE meat products, including Slavonian sausage, dry meat products, and garlic sausage, were collected and analyzed using standard cultural methods, followed by biochemical confirmation and serogroup identification with multiplex PCR. Whole‐genome sequencing (WGS) was employed to determine clonal complexes (CCs), sequence types (STs), and the presence of virulence‐associated genes. L. monocytogenes was detected in 22% (11/50) of the analyzed samples, of which 63.63% (7/11) were isolated from Slavonian sausage. Among the confirmed isolates, Serogroup IIa was the most prevalent (54.54%). WGS analysis revealed the presence of seven distinct CCs, of which CC9 ( n = 3), CC37 ( n = 2) and CC121 ( n = 2) were the most common. One of the strains was identified as CC1, which is considered hypervirulent. Single‐nucleotide polymorphism (SNP) analysis demonstrated that two strains identified as CC121 and two strains identified as CC9 were highly related (seven SNP differences in each). Overall, these findings provide new insights into the presence of L. monocytogenes in traditional RTE meat products in Zagreb and highlight a potential health risk for consumers.

Listeria monocytogenes is an important foodborne pathogen responsible for listeriosis, a severe human infection with high morbidity and mortality. Molecular serotyping is a universally accepted subtyping method for L. monocytogenes. Identification of strain serotype permits differentiation between significant foodborne strains (1/2a, 1/2b, and 4b) and allows a better understanding of their distribution and epidemiological significance. This study evaluated the implementation of real-time molecular serotyping of L. monocytogenes and compared its performance with conventional PCR methods. Eighty L. monocytogenes strains isolated from food and the food chain were analysed. Conventional multiplex PCR and qualitative real-time PCR (ReT-PCR) were used to identify molecular serogroups based on specific genetic markers to define the presence or absence of a particular serogroup of L. monocytogenes in strains. The results showed that ReT-PCR offers faster processing times than the conventional method. These strains belonged predominantly to serogroup IIa, followed by IIc, IIb, and IVb. ReT-PCR is becoming a standard tool for the detection and expression profiling of selected strains. This research highlights the importance of providing a rapid method for the qualitative detection of L. monocytogenes in food and integrating ReT-PCR into routine diagnostic applications.