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Article

Microbiological Analysis of Traditional Sausage in Prishtina, Republic of Kosovo, During Production and Storage

by
Flutura C. Ajazi
1,2,*,
Rreze M. Gecaj
2,
Matthias A. Ehrmann
3,
Sarah Shaqiri
2,
Idriz Vehapi
4,
Veton Haziri
1,*,
Namik Durmishi
5,
Xhavit Bytyçi
1 and
Violeta Lajqi-Makolli
1
1
Department of Food Science and Biotechnology, UBT—Higher Education Institution, Lagjja Kalabria, 10000 Prishtinë, Kosovo
2
Department of Animal Husbandry and Department of Food Technology and Biotechnology, Faculty of Agriculture and Veterinary, University of Prishtina, Bulevardi "Bill Clinton" p.n., 10000 Prishtinë, Kosovo
3
Chair of Microbiology, Technical University of Munich, 85354 Freising, Germany
4
Department of Biology, Faculty of Mathematics and Natural Sciences, University of Prishtina, Nëna Terezë p.n., 10000 Prishtinë, Kosovo
5
Faculty of Food Technology and Nutrition, University of Tetova, Str. Ilinden, nn., 1200 Tetova, North Macedonia
*
Authors to whom correspondence should be addressed.
Microbiol. Res. 2025, 16(9), 200; https://doi.org/10.3390/microbiolres16090200
Submission received: 28 June 2025 / Revised: 24 August 2025 / Accepted: 26 August 2025 / Published: 3 September 2025
(This article belongs to the Collection Microbiology and Technology of Fermented Foods)

Abstract

Traditional sausage in the Republic of Kosovo has been produced for centuries as a traditional method of preserving the nutritional value of meat. In sausage fermentation, natural microbiota such as lactic acid bacteria (LAB) and Micrococcaceae usually participate; these are not only critical for ensuring product safety and flavor development but also represent significant biotechnological potential. The purpose of this study was to analyze traditional fermented sausage, in terms of production practices and hygiene, throughout the production and storage phases. Samples in three stages of production and maturation were analyzed for microbiota, pH, and water activity level. Our results show that the main changes in the bacterial populations from 0 to 7 days of storage included increases in the total numbers of viable mesophilic aerobic bacteria (LAB) and Micrococcaceae (MC). However, the Enterobacteriaceae and coliforms (EC) count showed a significant decrease (p < 0.05) in 1.60 ± 1.62 lg cfu/g by day 14. In conclusion, the number of EC in the traditional sausage was decreased during storage, while LAB and MC were stable, data that indicate the safety and quality of this product. No differences regarding the production practices and storage of traditional sausage were observed, based on the data from the butchers who participated in this study.

1. Introduction

Sausage is one of the oldest fermented foods that human hands have processed [1]. Historical records from ancient Mesopotamia, Greece, and Rome document sausage-making as a method for meat preservation [2]. Traditionally, sausages were produced by combining ground meat with salt, fat, and spices, and then encasing the mixture in natural casings and fermenting or drying it to extend its shelf life [3]. Over the centuries, various cultures have developed distinctive variations influenced by local ingredients, climate, and culinary customs. This artisanal knowledge has been transmitted across generations and continues to underpin many traditional sausage production methods, including those still practiced in Kosovo today [4]. This meat product is typically made from beef and pork [5], and in some cases, buffalo meat [6]; certain varieties can also be made using chicken meat [7]. Additionally, the flavor and preparation can vary depending on the seasoning ingredients used (e.g., garlic, onions, peppers and wine), which are incorporated in different ways [8]. The production practices and the variety of meats involved have an impact on the nutritional composition of the sausage [9]. The production process of traditional sausages depends on natural complex microbiota, which induce significant changes in the characteristics of these products, as discussed in a review by Milicevic et al. (2014) [10]. In the fermentation phase of traditional sausage, there usually is a dominance of lactic acid bacteria (LAB) and coagulase-negative staphylococci (CNS), which can effect a reduction in the pH of the product, leading to reductions in pathogenic and spoilage-favoring microorganisms [5,10,11,12,13]. In an experimental study, it was shown that LAB are active throughout all phases of the production and maturation/storage of this product; there was a dominance of the genera Lactobacillus (76.96%) and Staphylococcus (6.44%) on day 0, while on day 12 of maturation there was a decrease in Lactobacillus of 63.03% and an increase in Staphylococcus of 22.29% [14]. Due to the release of free amino acids in the proteolytic and lipolytic activity of the microbial community in traditional sausage, we have the consequent production of volatile organic components, leading to the increase in these components in the maturation phase [14]. All of these changes in the microbial community, and production components such as aldehydes, ketones, alcohols, and sulfur-containing components, contribute to the development of the organoleptic characteristics and safety factors of the final product [15]. Yeast can also play an important role in sausage fermentation and its organoleptic characteristics. In particular, species such as Debaryomyces hansenii and Yarrowia lipolytica contribute to the development of aroma and flavor through the production of esters, alcohols, and sulfur-containing compounds. They exhibit lipolytic activity, breaking down fats into free fatty acids that serve as precursors to volatile compounds. Furthermore, they contribute to surface deacidification, pigment stability, and the prevention of lipid oxidation, which enhance the appearance factors and shelf life of the product [16,17,18,19]. LAB are widely distributed as inhabitants of the intestinal tract in animals, and they have very significant applications in the food industry [20,21]. They are Gram-positive, non-spore-forming, generally non-motile, catalase-negative microorganisms that grow under anaerobic or microaerophilic conditions. They are known for their fermentative metabolism, primarily converting sugars into lactic acid, which contributes to the acidification and preservation of fermented foods, and are also known for their probiotic properties. LABs are naturally present in raw meat and are dominant during sausage fermentation due to their acid tolerance and fast growth in low-oxygen environments [22,23]. The LAB group includes genera such as Lactobacillus [24], Leuconostoc, Pediococcus, and Lactococcus [25]. This group of bacteria is known to produce antibacterial compounds such as bacteriocins, which are very important for microbial stability in the fermenting consortia involved in sausage-making [26,27]. These bacteriocins serve for food preservation due to the microbiological and technological advantages they possess. They are ribosomally synthesized antimicrobial peptides or proteins that act by forming pores in the membranes that surround closely related or foodborne pathogens, including Listeria monocytogenes, Staphylococcus aureus, Clostridium spp., and other Gram-positive and Gram-negative bacteria [28]. Thus, the activity of bacteriocins is usually lethal to the bacterium [29,30]. Examples of these bacteriocins are nisin, leucocin, and pediocin [31]. Nisin, produced by Lactococcus lactis, is effective against Gram-positive pathogens such as Listeria monocytogenes, Staphylococcus aureus, and Clostridium botulinum [32]. Leucocin A, produced by Leuconostoc carnosum DH25, also inhibits Listeria monocitogenes, more strongly than do factors like pH and water activity (aw) [33]. Pediocin, from Pediococcus spp., has potent antilisterial activity and is often used in meat preservation [34]. Bacteriocin production enhances the microbial safety of fermented sausages and supports natural preservation without chemical additives.
Using high-throughput sequencing, researchers have identified complex consortia of bacteria in traditional urutan sausage. An analysis showed that Bacillota was the most abundant phylum, and at the genus level, the mixture was dominated by Latilactobacillus, Macrococcoides, Lactococcus, and Weissella. The genera that were positively correlated to the pH, water activity (aW), and acidity of fermented urutan were Staphylococcus, Lactococcus, Mammalicoccus, Macrococcoides, and Citrobacter [35]. While traditional culture-based methods provide quantitative insight into the dominant microbial groups, metagenomic studies have offered a more comprehensive view of microbial succession and diversity during sausage fermentation. They are important microorganisms in the food industry, used as starter cultures to produce a larger variety of fermented foods based on lactic fermentation [22]. In meat fermentation, the main function of LAB is to ensure a rapid drop of pH, which favors product safety by suppressing the growth of pathogens, and ensures product stability and shelf life by preventing undesirable changes that may cause different biochemical interactions that, in turn, cause altered sensory properties in matured products [36,37,38]. Besides these antibacterial agents from LAB, in a recent review, extract and essential oils from plants have been used for meat products preservation [39]. Beyond the presence of lactic acid bacteria, there are also other bacteria present, such as Micrococcaceae, Staphlylococcaceae, and Enterococcaceae, which develop during the ripening/fermentation stage. Among them is coagulase-negative staphylococci (CNS), which is a group of bacteria that could contribute to the safety and quality of traditional sausage [40]. Many studies have shown the effects of CNS bacteria on proteolytic and lipolytic degradation and flavor development during the fermentation and maturation of traditional sausage [41,42]. In a recent study, Liu et al. 2023 [13] found that a combination of Lactobacillus fermentum YZU-06 and Staphylococcus saprophyticus CGMCC 3475 improved the quality and flavor development of fermented sausage. Staphylococcus xylosus, which is commonly used as a starter organism in traditional sausage fermentation [43], plays an important role in biotechnological aspects such as biofilm formation and cell aggregation [44].
Kosovo has an ancient tradition centered on the production and consumption of traditional products such as meat-based products [45], milk products [46,47,48,49], cereal-based products [50], fermented vegetable products, and wine. For meat products such as beef- and chicken-based processed meat products, we have relevant information about the incidence of adulteration [51], as well as a microbial assessment of ground beef from fast food outlets in Prishtina [52], but very limited information about the microbial quality of traditional sausage. This traditional sausage is usually made from beef meat, mainly beef horn (neck) combined with beef fat, and some mixed ingredients, without the addition of starter cultures. Due to its characteristics such as water activity (aw) and pH, fresh sausage is prone to rancidity, and when produced using traditional methods in our country, it has a shelf life of 10–14 days. It is stored at +4 °C and cooked beforehand. Despite the long-standing tradition of sausage-making in Kosovo, there is a notable lack of scientific literature and systematic studies on the microbial quality of traditionally produced sausages. The relevant research regarding the quality and safety of traditional sausage could be used as a reference study in the case of standardization and certification of this traditional product in the future. This study takes a first step in that direction by analyzing the microbiological changes during the production and storage of traditionally fermented sausage in Kosovo.
The hypotheses for this study were as follows: (i) that those traditional fermented sausages produced without starter cultures in Kosovo harbor dynamic microbial communities dominated by LAB and Micrococcaceae, which evolve during fermentation and storage in a way that promotes product safety; (ii) that microbial succession, in combination with changes in pH and water activity, reduces spoilage and pathogenic bacteria (e.g., Enterobacteriaceae and coliforms), thereby contributing to the hygienic quality of the product; and (iii) that the production practices and storage practices associated with traditional sausage vary, and the three local butchers use different methods of production and storage conditions. To test these hypotheses, we collected traditional sausage samples from three local butcher shops and monitored microbial counts (total number of colonies, lactic acid bacteria, Micrococcaceae, Enterobacteriaceae, and coliforms) and physicochemical parameters (pH and water activity) at three stages of production and maturation: day 0 (pre-fermentation), day 7 (post-fermentation), and day 14 (end of storage). The present work aimed to evaluate the microbiological properties and production practices associated with the different stages of production and the storage of traditional Kosovar sausage. The importance of this research on these groups of bacteria lies in their crucial role in determining both the quality and safety of the traditional sausage. In particular, lactic acid bacteria and micrococci, or a mixture of these two groups, have been demonstrated as playing a role in fermentation, which is essential in traditional sausage production, and this fact is widely recognized in the meat processing industry [10].

2. Materials and Methods

2.1. Samples Collection

Samples were collected in March and April 2024 from three butchers who produce traditional sausage and other meat products, in the region of Prishtina, Kosovo. These butchers were selected based on the following criteria: (i) they had a long-standing tradition of producing fermented sausages using artisanal methods, (ii) they produced sausages without the addition of starter cultures and commercial additives, and (iii) they used consistent, repeatable processes in sausage preparation. All shops operated under similar hygienic standards and had local customer bases. The traditional sausages were composed of locally sourced beef meat, including rib and neck cuts, mixed with beef fat. No commercial starter cultures or curing agents were added, in line with traditional preparation methods.
The traditional sausage was analyzed in three different stages of production and storage, specifically, on day 0 (before the drying process), day 7 (after drying/fermentation), and day 14 (after two weeks of storage) at a temperature of +4 °C, two samples per stage and 2 repetitions (n = 2). During the sample collection, we gained detailed information from traditional sausage producers about the ingredients/preparation methods of traditional sausage. This type of traditional meat product was manufactured by traditional methods without adding any starter culture. All samples were transferred to the sterile plastic pouches and kept refrigerated until analysis in the laboratory.

2.2. Production Practices

Traditional sausage in Kosovo has been produced in homes, and it is also made commercially, both on a small scale and on a large scale. The production diagram of the traditional sausage of the Prishtina region is given for the first time in this study (Figure 1).
The knowledge associated with the traditional preparation method is generally passed on from one generation to another and may differ between producers as to any detail in the production practice. From all sampling points, those preparing the sausage declared the use of beef rib meat in the sausage production. In the described method, as given by the three butchers, they mainly use beef meat, a combination of neck and rib meat and fat. The ground meat, salted (NaCl) for 24 h at room temperature, is then mixed with minced onions, red and black pepper, and vegetable seasonings, and some minced bread is added at the end. The ingredients used in the sausage preparation, such as the beef meat, onions, and bread, were not subjected to any disinfection or pasteurization procedures before processing. The whole mixture is then filled into the gut casings and is kept for 4–5 h at room temperature. The fermentation stage lasts 1–3 days, and the sausages are usually placed in special rooms for fermentation at a moderate temperature, starting at 27 °C on the first day and then rising to reach 34 °C by the end of 3rd day of fermentation. The fermented sausage is then put in storage at 0–3 °C for 3 days, after which it can later be preserved at room temperature. The environmental temperatures involved in the sausage production and storage ranged from 0 °C during refrigeration to 34 °C during fermentation.

2.3. Microbial Cultivation

The 20 g samples of the sausage taken severally on day 0, day 7 and day 14 were each mixed with 180 mL sterile Ringer’s Solution 0.9% and homogenized for approximately 90 s using a Stomacher Lab Blender 400 (VWR). Homogenized and diluted in Buffered Peptone Water-BPW (typical formula: pancreatic digest of casein 1.0 g/L, sodium chloride 4.3 g/L, sodium phosphate monobasic anhydrous 5.77 g/L, and potassium phosphate dibasic 3.56 g/L; final pH 7.0 ± 0.2 at 25 °C), samples were plated for bacterial enumeration according to the pour plate method. Briefly, 1 mL aliquots of the diluted samples were inoculated directly into the molten media [46,49]. Microbial analysis was performed by culturing in certain media, and samples were weighed on an analytical scale. For all media, distilled water was used, in accordance with the manufacturer’s prescription; samples were mixed in the magnetic stirrer hot plate and then sterilized in an autoclave in 121 °C, for 15 min at a pressure of 1.5 atm. The media were then cooled at 45–50 °C and aseptically distributed into Petri dishes. All groups of microorganisms were cultivated in aerobic conditions. The same procedures were repeated at each stage of the sausage production and storage.
Total number of colonies (TNC) was based on samples cultured on Plate Count Agar (Liofilchem, Roseto degli Abruzzi (TE), Italy), also called “standard medium”; the total number of aerobic bacteria within a sample was measured and counted after 72 h of incubation at 30 °C. The typical formula for PCA in g/L was as follows: enzymatic digest of casein 5.0 g; yeast extract 2.5 g; glucose 1.0 g; agar 15.0 g; and final pH 7.0 ± 0.2 at 25 °C, according to ISO 4833-1:2013 [53].
Lactic Acid Bacteria (LAB) were cultivated on de Man, Rogosa, and Shape agar (MRSA; Biolife, Milan, Italy) and counted after 72 h at 37 °C. The typical formula for MRSA in g/mL/L was as follows: Pepton 10.0 g; beef extract 10.0 g; yeast extract 5.0 g; glucose 20.0 g; dipotassium hydrogen phosphate 2.0 g; sodium acetate 5.0 g; diammonium citrate 2.0 g; magnesium sulphate 0.2 g; manganous sulphate 0.05 g; agar 15.0 g; tween 80 1.0 mL; and final pH 6.4 ± 0.2 at 20–25 °C.
For enumeration of Micrococcaceae (MC), we used Manitol Salt Agar (MSA; Liofilchem, Roseto degli Abruzzi (TE), Italy), and counted after 72 h of incubation at 30 °C. The typical formula for MSA in g/L was as follows: pancreatic digest of casein 5.0 g; peptic digest of animal tissue 5.0 g; D-Mannitol 10.0 g; sodium chloride 75.0 g; phenol red 0.025 g; agar 15.0 g; and final pH 7.4 ± 0.2 at 25 °C.
Enterobacteriaceae and coliforms (EC) were cultured on MacConkey agar (MCA; Biolife, Milan, Italy) and were counted after 48 h of incubation at 37 °C. For MSA, the typical formula in g/L was as follows: gelatin peptone 17.0 g; peptones 3.0 g; lactose 10.0 g; bile salts 1.5 g; sodium chloride 5.0 g; neutral red 0.003 g; crystal violet 0.001 g; agar 13.5 g; and a final pH at 25 °C of 7.1 ± 02.

2.4. pH and Water Activity Analysis

The pH was measured using a pH-meter Basic 20 (Criston Instrument, Barcelona, Spain). For pH determination, 10 g of the sausage sample was homogenized with 90 mL of distilled water in a sterile blender to create a 1:10 (w/v) suspension. The pH of the resulting homogenate was measured using a calibrated pH meter. Measurements were performed in duplicate for each sample [40]. The determination of water activity (aw) of the traditional sausage samples was conducted with the LabTouch-aw apparatus manufactured by Novasina, Photo X (Lachen, Switzerland). The samples were measured after processing and during ripening and storage at 17–20.2 °C.

2.5. Statistical Analysis

All experimental data are presented as average ± SD. Plate counts were log-transformed before statistical analysis. The statistical significance was determined using ANOVA, while the differences between the groups were analyzed with Fisher’s LSD test. The results were considered significant if p < 0.05. Principal component analysis (PCA) [54], and the Pearson correlogram were generated using RStudio (R version 2025.05.1, Build 513) to explore variable patterns and correlations. Additional statistical visualizations, including box plots and descriptive graphs, were created with OriginPro 2021 to assess data distribution and variability.

3. Results

3.1. Microbiological Analyses

An evaluation of the microbiota present in the traditional sausage samples during production and ripening is summarized in Figure 2. The environmental temperatures involved in the sausage production and storage ranged from 0 °C during refrigeration to 34 °C during fermentation. On day 0 (pre-ripening phase), the average TNC was 7.06 ± 0.12 lg cfu/g, LAB 6.11 ± 1.01 lg cfu/g, MC 5.63 ± 0.33 lg cfu/g, and EC 5.10 ± 0.49 lg cfu/g. The main changes in bacterial populations appeared on day 7 of storage (after fermentation), including the increase in TNC to 8.88 ± 2.27 lg cfu/g, LAB 6.01 ± 1.59 lg cfu/g, and MC 5.69 ± 1.46 lg cfu/g. At this stage, there was a significant change (p < 0.05) for the EC group (2.47 ± 1.37 lg cfu/g), compared to day 0. After 14 days of sausage storage at +4 °C, the numbers of mesophilic bacteria and LAB had slight decreases to 6.68 ± 2.22 lg cfu/g and 5.99 ± 0.74 lg cfu/g, respectively, and the number of MC (5.30 ± 2.22 lg cfu/g) was approximately the same as on day 7. While EC during traditional sausage fermentation decreases up to 1.60 ± 1.62 lg cfu/g, LAB, from day 0 to day 14, did not show any significant changes.
The evaluation of microbial changes in the three batches is shown in Figure 3. The numbers of microorganisms for the TNC, LAB, and MC groups analyzed in this study were not the same for all batches, with EC being the exception. Despite this, the average values associated with these three microbial groups did not show significant changes during the production and storage of the traditional sausage.

3.2. Physico-Chemical Parameters

Evaluations of pH and aw during the traditional sausage production and storage by the three butchers are shown in Figure 4. The pH values in all three batches during the phases analyzed in this study were approximately the same. The average pH value in the initial phase (D0) was 6.64 ± 0.03, and it was almost the same in all samples. In the final phase, the average pH value was 5.07 ± 0.13, which indicates an acidification of the product, and this may have contributed to the decrease in the EC number. Our results regarding the pH value during the production and storage of traditional sausage are in harmony with the results of other authors regarding similar products [55,56,57,58].
A small reduction in aw was noted from the initial phase of production to the final phase of sausage maturation and storage. On day 0, the mean of the water activity was 0.96 ± 0.01; this decreased on D7 to 0.92 ± 0.17, and on D14, the mean value was 0.91 ± 0.01. This decrease could have been the reason that EC was low in the final phase. The same trend was observed in all batches where samples were taken. These findings are in harmony with the results of other authors [55,56,57,58].

3.3. PCA Analysis

Figure 5 presents the results of a principal component analysis (PCA) based on the covariance matrix of the microbiological and physicochemical parameters, conducted using RStudio. PCA showed significant correlation in the first two dimensions, explaining 95.7% of the total variance (Dim1: 62.6%; Dim2: 33.1%). Dim1 shows a strong positive correlation of TNC, LAB, and pH (all clustered in the positive quadrant). This triad aligns with established fermentation kinetics: LAB proliferation drives acid production, suppressing pH while dominating microbial ecology [59].
LAB expansion explains the acidification (pH drop) and the major microbial colonization. To the contrary, aw is projected independently in Dim2′s negative quadrant, confirming its detachment from fermentation trends, with a structure primarily regulated by the substrate’s composition and storage conditions, confirming that aw is governed primarily by substrate composition (e.g., salt content) rather than microbial activity.
Dim2 also displayed an antagonistic and competitive hierarchy, clearly separating the MC and EC in the negative quadrant, opposite to the LAB. This spatial segregation validates the competitive exclusion principle [60] due to which, in LAB, metabolites (e.g., bacteriocins, organic acids) inhibit competitors.
The maximal Euclidean distance between LAB and EC mirrors previous observations in fermented meats, underscoring fermentation’s role as a biological preservative. Notably, an orthogonal projection highlights the role of EC as an independent hurdle—consistent with Leistner’s hurdle technology framework [61]—demanding targeted control strategies (e.g., humectant optimization) beyond acidification. Such predominance initiates the evidence in the orthogonal projection of aw related to fermentation variables. Orthogonality implies a lack of dependence upon a general fermentation-independent effect, reinforcing that specified selection (e.g., humectants or drying methods) is required in the control for adequate food safety outcomes. The principal component loadings obtained from the analysis are presented in Supplementary Table S1.

3.4. Pearson Correlation

Figure 6 displays the Pearson correlation matrix, visualized as a correlogram generated using RStudio (R version 2025.05.1, Build 513). A correlogram offers a fascinating glimpse into the intricate relationships between biological and environmental factors during the production and storage of traditional sausage. Researchers look at biological “players” like the TNC, LAB, MC, and EC alongside environmental “influencers” such as pH and aw. This analysis aligns with recent food microbiology research [62] and is all about uncovering how these elements might depend on each other, shaping the microbial landscape and overall product quality. The influence of pH on LAB is also noteworthy, with a correlation of 0.92 (depicted in a rich red shade), indicating a significant positive relationship in which higher pH levels may foster the growth of LAB, which is crucial for fermentation and preservation. On the flip side, the gentle negative link of −0.23 between TNC and LAB, painted in a soft blue shade, hints at microbial competition, and is consistent with antagonistic interactions documented in meat matrices. When it comes to preservation, the high correlations between EC and both pH (0.96) and aw (0.83) emphasize how crucial these environmental conditions are in controlling EC, which is key to food safety. The bold red tones reflect the strength of these connections, warning us that even small shifts in pH or aw could tip the scales on microbial safety. The strong correlations observed between LAB and EC (r = 0.99) and between TNC and MC (r = 0.94) indicate a potential synergistic growth under permissive conditions, consistent with previously reported patterns of pathogen dynamics in fermented meats [63]. Meanwhile, the faint 0.11 link between LAB and MC (pale pink) implies ecological independence, and is likely driven by niche-specific factors. These insights underscore the need to monitor environmental and microbial variables, providing a foundation for the optimization of preservation strategies aiming to enhance sausage quality and shelf life.
The boxplot in Figure 7 illustrates the pH changes of sausage over 14 days, comparing measurements from day 0, day 7, and day 14. At D0, the pH is notably higher, with a median around 6.64 ± 0.03 and a narrow interquartile range (IQR), indicating minimal variability and a stable, likely fresh, state. By day 7, the pH decreases significantly (p < 0.05), with a median around 5.8 ± 0.14 and a broader IQR, suggesting increased variability and potential microbial activity or fermentation processes affecting acidity. At day 14, the pH further declines to a median of approximately 5.18 ± 0.13, with an IQR similar to day 7, reflecting continued acidification. This trend indicates a progressive decrease in pH over time, which is consistent with natural fermentation.
Figure 8 presents the boxplot of water activity (aw) measured during production and storage. At day 0, aw is highest, with a median around 0.96 ± 0.001 and a narrow interquartile range (IQR), indicating minimal variability and a fresh sample. By day 7, the median aw decreases slightly to approximately 0.92 ± 0.01, with a broader IQR, suggesting some moisture loss or drying processes, possibly due to evaporation or microbial activity altering the sausage’s matrix. At day 14, the median remains stable at around 0.91 ± 0.01, with an IQR similar to day 7, indicating that aw stabilizes after the initial decline, potentially reflecting equilibrium with the storage environment or continued drying. This pattern suggests a reduction in aw over time, which is critical for extending shelf life and inhibiting microbial proliferation.

4. Discussion

The objectives of this study were to understand whether the butchers selected in the study used the same techniques for the production of traditional sausage in Prishtina. Moreover, the research sought to evaluate parameters such as pH, aw, and microbial groups during the production and storage/maturation of the sausage, and to understand more about the quality and safety of this product.
The high concentrations of TNC and LAB in the three analyzed stages of production and storage of traditional sausage appeared to be in harmony with the results of other authors, who have found approximately the same numbers of these bacteria to be present in traditional sausage [6,55,56,64,65]. This could be indicated by the presence of normal flora in the raw meat and other ingredients that have been used for sausage production, and must be unique to this product. TNC increased from an initial level of 7.06 ± 0.12 to 8.88 ± 2.27 lg cfu/g during sausage production, but started to decrease on day 14 of storage [57]. A high presence of LAB was found in previous studies [5]. The increases in TNC and LAB by day 7 are likely due to favorable fermentation conditions (27–34 °C); the presence of fermentable substrates (e.g., carbohydrates from minced bread); and the lack of a starter culture, which allows spontaneous fermentation. The evaluation of this group of bacteria was almost the same in all stages and slightly decreased at the end of maturation; these findings are in harmony with those of other studies [57]. The numbers associated with this group of bacteria in the three stages of fermentation and storage could affect the increase in the acidity of the product, which could then have an impact on the reduction in the numbers of MC and EC [58,66,67]. LAB proliferation leads to acidification, as observed in the pH drop from 6.64± to 5.07± by day 14. The number of LAB ranged from 6.01 ± 1.59 lg cfu/g on day 7 to 5.99 ± 0.74 lg cfu/g on day 14. According to Dallas Santa et al. (2014) [55], the population of LAB in sausage produced with the use of different starter cultures was in the range between 6 to 7 lg cfu/g and increased from day 0 to 14. The average number of MC on day 0 was 5.63 ± 0.33 lg cfu/g, with a decrease on day 14 to 5.30 ± 2.22 lg cfu/g that can be explained by the presence of salt in the product [68]. Some studies have reported MC in the range from 2 to 7 lg cfu/g [55,69,70]. The number of EC, which is the indicator for food contamination, was higher in the first stage of production (5.10 ± 0.49 lg cfu/g), but significantly decreased after fermentation and during storage (1.60 ± 1.62 lg cfu/g). Lower EC (2.47 ± 1.37 lg cfu/g) was found in sausage immediately after heat processing. These findings are in harmony with many other results from authors who have analyzed traditional sausage, and who have also reported the decline of EC from the initial to final stage of production and storage [5,56,71]. The pH reduction inhibits acid-sensitive bacteria like EC, which explains their decline from the first phase to the end. By day 14, the decrease in TNC and slight reduction in LAB suggest that lower storage temperatures (0–4 °C), reduced water activity, and acidic conditions limit further microbial growth. Other authors have reported the decrease in total coliforms in the final product in sausage; this might confirm the competitiveness of LAB in the production of acidity during the fermentation process. One very important factor that could be affected was the aw value after fermentation [45,47]. In this study, the final pH and aw values (averages of all samples) of the traditional sausage were 5.07 ± 0.13 and 0.91 ± 0.01, respectively [55,56]. These microbial changes are beneficial from a safety standpoint, as the decline in EC reduces the risk of contamination. Additionally, the stability of LAB and MC support flavor development and preservation, while the declines in water activity and pH contribute to extended shelf life and reduced spoilage.
The results derived from the PCA and Pearson correlogram demonstrated consistency, both underscoring the strong interrelations among EC, LAB, and pH during fermentation. In the PCA biplot, these variables were grouped closely along Dim1, indicating microbial proliferation and acidification as driving forces of fermentation; similarly, the correlogram revealed robust positive correlations, supporting this association. In a parallel manner, the PCA positioning of MC and TNC in opposition to LAB mirrored the negative or weak correlations evident in the correlogram, suggesting competitive inhibition. The orthogonal placement of aw in the PCA aligned with its lower correlations in the matrix, confirming that water activity functions as an independent barrier predominantly influenced by formulation and storage conditions, rather than fermentation dynamics.
No differences regarding the production practices and storage of traditional sausage were observed, based on the data from the butchers who participated in this study. They follow a consistent, heritage-based process involving natural fermentation without starter cultures, controlled drying/fermentation phases, and almost the same ingredient combinations for sausage production and storage.
Based on our knowledge of Kosovar cuisine, sausage consumption is high and sausage occupies a very important place on consumers’ tables. However, accurate data regarding the statistics associated with the consumption of this product in Kosovo is lacking. Regarding the consumption of meat products on the global level today, concerns have increased for health reasons [72]; however, it is important to emphasize that products such as sausage or other meat-based products are a good source of protein for our diet. Another issue related to the consumption of meat products is the impact of their production on the environment [73], which contributes to greenhouse gas emissions and land use. Despite all this, beef production increased in 2024, as reflected in the increase in slaughter rates and higher carcass weights [74].
Despite providing information, for the first time, regarding the numbers of relevant microbial groups and production methods for the sausage produced in Prishtina, our study has a limitation regarding the methods used for the identification of microorganisms. The culture-dependent method can provide information regarding the numbers of some microorganisms, but can exclude information on the growth in some others, ones which may not have been cultivated but are present in the sausage. Furthermore, this method cannot provide us with detailed data regarding the diversity of the microbial community in traditional sausage. This method can, though, provide us with data on the vitality of the bacterial cells that may be active in the fermentation and maturation of the product. However, culture-independent techniques such as 16s rRNA sequencing or metagenomics can provide relevant information regarding microbial dynamics and their functional contributions during the fermentation and maturation of traditional sausage [15,75].
The differences between our findings and those of previous studies can be attributed to several key variables. The absence of added starter cultures in our sausages allowed the natural microbiota from raw ingredients (meat and seasonings) to dominate fermentation, which contrasts with studies that used selected LAB or CNS strains to standardize microbial dynamics [76]. The fermentation in this study was performed under traditional room-temperature conditions (27–34 °C) without humidity or airflow control, which may have influenced microbial succession differently than in chamber-controlled processes [77]. Finally, the composition of the sausage—particularly the inclusion of onions, bread, and local vegetable seasonings—provides fermentable substrates and endogenous enzymes that are not present in standardized formulations.

5. Conclusions

Based on this study, we can conclude that the predominance of lactic acid bacteria in the initial stage of production and the subsequent stages of storage testifies to their role in the fermentation process of this traditional sausage. A relatively high number of Micrococaceae, especially after the seventh day of fermentation, participated in the natural fermentation process of the sausage. The decreased number of EC, ranging from the initial to the final phase, indicates an internal control of this traditional product that may play a role in ensuring the safety and preservation of the sausage (fermented by normal flora, without the addition of starter culture). Our findings offer valuable documentation of local practices that could influence product quality and shelf life. In the context of this study, we urge Kosovar food safety authorities to implement awareness programs for producers of traditional meat products, to promote best practices, and ensure the production of safe and high-quality products. This is needed to increase the quality of the sausage and other meat products produced by traditional methods, through improving their hygienic parameters, labeling, and packaging, which can effect increases in export and product value. Additional investigation may focus on analyzing this product for the presence of pathogens such as Salmonella Thyphimurium, Listeria monocytogenes, and Staphylococcus aureus, which pose risks to consumer health, and characterizing the full microbial community using culture-independent methods, such as 16S rRNA sequencing or metagenomics, to better understand the roles of uncultured and functionally important organisms. Further studies in the future would focus on analyzing more physicochemical parameters, including proteins, fats, moisture, dry matter, and biogenic amines. As to the biotechnological aspect of the production of the traditional sausage produced in the Prishtina region, it would be of interest to analyze the types of BAL and coagulase-negative staphylococci (CNS), in order to better understand their proteolytic and lipolytic activities in this product. Furthermore, measuring volatile organic compounds (VOCs) during the fermentation and storage of sausage can provide us with more detailed information regarding the development of the aromas of this product, which affect the organoleptic characteristics of the product in question. Moreover, this study was aimed at preventing the loss of the tradition of sausage production through the promotion of this product and an increase in consumer confidence in this product.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microbiolres16090200/s1, Table S1: PCA results table: component, Eigenvalue, variance, and cumulative percent.

Author Contributions

Conceptualization, F.C.A. and S.S.; methodology, F.C.A., V.H. and N.D.; validation, M.A.E., R.M.G. and I.V.; formal analysis, X.B.; investigation, F.C.A. and S.S.; resources, S.S., F.C.A. and V.L.-M.; data curation, V.H.; writing—original draft preparation, S.S. and F.C.A.; writing—review and editing, F.C.A., M.A.E. and R.M.G.; visualization, F.C.A., V.H., S.S. and R.M.G.; supervision, F.C.A.; project administration, F.C.A. and S.S.; funding acquisition, F.C.A., V.H. and S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Acknowledgments

We would like to thank Tanja Stojanovska from the Faculty of Technology and Engineering, Veles, as well as Durim Alija, University of Tetova, Republic of North Macedonia, for their technical support.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
TNCTotal number of colony (Viable mesophilic aerobic bacteria)
LABLactic acid bacteria
MCMicrococcaceae
ECEnterobacteria and Coliforms
IQRInterquartile range
awWater activity
D0Day 0
D7Day 7
D14Day 14
PCAPrincipal component analysis

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Figure 1. Schematic diagram of the production process used by traditional sausage producers. The arrows represent the sequential processing steps, while also indicating the addition of specific ingredients.
Figure 1. Schematic diagram of the production process used by traditional sausage producers. The arrows represent the sequential processing steps, while also indicating the addition of specific ingredients.
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Figure 2. Microbiological evaluation of traditional sausage during production and storage, including total number of colonies (TNC), lactic acid bacteria (LAB), Micrococcaceae (MC), and Enterobacteriaceae and coliforms (EC). Error bars indicate standard deviations. A significant decrease in Enterobacteriaceae and coliforms was observed during storage (* p < 0.05).
Figure 2. Microbiological evaluation of traditional sausage during production and storage, including total number of colonies (TNC), lactic acid bacteria (LAB), Micrococcaceae (MC), and Enterobacteriaceae and coliforms (EC). Error bars indicate standard deviations. A significant decrease in Enterobacteriaceae and coliforms was observed during storage (* p < 0.05).
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Figure 3. Dynamics of key microbial groups during the production and storage of traditional sausage: (A) Total number of colonies (TNC; total mesophilic aerobic count), (B) Lactic acid bacteria (LAB), (C) Micrococcaceae (MC), and (D) Enterobacteriaceae and coliforms (EC). The trends are shown for three independent production batches (B1, B2, and B3) sourced from different butchers.
Figure 3. Dynamics of key microbial groups during the production and storage of traditional sausage: (A) Total number of colonies (TNC; total mesophilic aerobic count), (B) Lactic acid bacteria (LAB), (C) Micrococcaceae (MC), and (D) Enterobacteriaceae and coliforms (EC). The trends are shown for three independent production batches (B1, B2, and B3) sourced from different butchers.
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Figure 4. Time-course changes in physicochemical parameters critical for sausage safety and quality. (A) pH values show a characteristic decline over time, with product B3 exhibiting the most pronounced acidification. (B) Water activity (aw) gradually decreases during storage, indicating a loss of moisture. Data points represent mean values from three independent samples per batch (B1, B2, and B3).
Figure 4. Time-course changes in physicochemical parameters critical for sausage safety and quality. (A) pH values show a characteristic decline over time, with product B3 exhibiting the most pronounced acidification. (B) Water activity (aw) gradually decreases during storage, indicating a loss of moisture. Data points represent mean values from three independent samples per batch (B1, B2, and B3).
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Figure 5. Principal component analysis (PCA) plot of microbiological and physicochemical parameters of traditional sausage during production and storage.
Figure 5. Principal component analysis (PCA) plot of microbiological and physicochemical parameters of traditional sausage during production and storage.
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Figure 6. Correlogram showing Pearson correlation coefficients among microbial and environmental parameters: water activity (aw), electrical conductivity (EC), lactic acid bacteria count (LAB), moisture content (MC), pH, and total number of colonies (TNC). The lower triangle displays pairwise Pearson correlation coefficients (r-values), and the color gradient indicates the strength and direction of the correlation (dark red: strong positive; dark blue: strong negative). Correlation significance was assessed using the two-tailed Pearson test in RStudio (p < 0.05).
Figure 6. Correlogram showing Pearson correlation coefficients among microbial and environmental parameters: water activity (aw), electrical conductivity (EC), lactic acid bacteria count (LAB), moisture content (MC), pH, and total number of colonies (TNC). The lower triangle displays pairwise Pearson correlation coefficients (r-values), and the color gradient indicates the strength and direction of the correlation (dark red: strong positive; dark blue: strong negative). Correlation significance was assessed using the two-tailed Pearson test in RStudio (p < 0.05).
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Figure 7. Data are presented as box plots indicating the distribution, median, interquartile range, and variability of pH measurements at each time point. Statistical analysis was performed using one-way analysis of variance (ANOVA), followed by post hoc testing to assess differences between time points. A significant decrease in pH was observed from day 0 to day 14 (p < 0.05), indicating acidification during storage. * p < 0.05.
Figure 7. Data are presented as box plots indicating the distribution, median, interquartile range, and variability of pH measurements at each time point. Statistical analysis was performed using one-way analysis of variance (ANOVA), followed by post hoc testing to assess differences between time points. A significant decrease in pH was observed from day 0 to day 14 (p < 0.05), indicating acidification during storage. * p < 0.05.
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Figure 8. Box plot showing changes in water activity (aw) in traditional sausages at three stages of production and storage: day 0 (D0), day 7 (D7), and day 14 (D14). Data are presented as box plots illustrating the arithmetic mean (small circle), the median (horizontal line inside), the interquartile range, and variability. Statistical analysis was performed using one-way analysis of variance (ANOVA), followed by post hoc comparison. A significant decrease in aw was observed from D0 to D7 (p < 0.05), and a further reduction occurred from D7 to D14 (p < 0.05). The overall reduction from D0 to D14 was highly significant (p < 0.01), reflecting the progressive drying and dehydration of the product, which is critical for improving shelf life and ensuring microbiological safety. ** p < 0.01; * p < 0.05.
Figure 8. Box plot showing changes in water activity (aw) in traditional sausages at three stages of production and storage: day 0 (D0), day 7 (D7), and day 14 (D14). Data are presented as box plots illustrating the arithmetic mean (small circle), the median (horizontal line inside), the interquartile range, and variability. Statistical analysis was performed using one-way analysis of variance (ANOVA), followed by post hoc comparison. A significant decrease in aw was observed from D0 to D7 (p < 0.05), and a further reduction occurred from D7 to D14 (p < 0.05). The overall reduction from D0 to D14 was highly significant (p < 0.01), reflecting the progressive drying and dehydration of the product, which is critical for improving shelf life and ensuring microbiological safety. ** p < 0.01; * p < 0.05.
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MDPI and ACS Style

Ajazi, F.C.; Gecaj, R.M.; Ehrmann, M.A.; Shaqiri, S.; Vehapi, I.; Haziri, V.; Durmishi, N.; Bytyçi, X.; Lajqi-Makolli, V. Microbiological Analysis of Traditional Sausage in Prishtina, Republic of Kosovo, During Production and Storage. Microbiol. Res. 2025, 16, 200. https://doi.org/10.3390/microbiolres16090200

AMA Style

Ajazi FC, Gecaj RM, Ehrmann MA, Shaqiri S, Vehapi I, Haziri V, Durmishi N, Bytyçi X, Lajqi-Makolli V. Microbiological Analysis of Traditional Sausage in Prishtina, Republic of Kosovo, During Production and Storage. Microbiology Research. 2025; 16(9):200. https://doi.org/10.3390/microbiolres16090200

Chicago/Turabian Style

Ajazi, Flutura C., Rreze M. Gecaj, Matthias A. Ehrmann, Sarah Shaqiri, Idriz Vehapi, Veton Haziri, Namik Durmishi, Xhavit Bytyçi, and Violeta Lajqi-Makolli. 2025. "Microbiological Analysis of Traditional Sausage in Prishtina, Republic of Kosovo, During Production and Storage" Microbiology Research 16, no. 9: 200. https://doi.org/10.3390/microbiolres16090200

APA Style

Ajazi, F. C., Gecaj, R. M., Ehrmann, M. A., Shaqiri, S., Vehapi, I., Haziri, V., Durmishi, N., Bytyçi, X., & Lajqi-Makolli, V. (2025). Microbiological Analysis of Traditional Sausage in Prishtina, Republic of Kosovo, During Production and Storage. Microbiology Research, 16(9), 200. https://doi.org/10.3390/microbiolres16090200

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