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Article

Competition between Starter Cultures and Wild Microbial Population in Sausage Fermentation: A Case Study Regarding a Typical Italian Salami (Ventricina)

by
Chiara Montanari
1,
Federica Barbieri
2,
Fausto Gardini
1,2 and
Giulia Tabanelli
1,3,*
1
Interdepartmental Centre for Industrial Agri-Food Research, University of Bologna, 47521 Cesena, Italy
2
Department of Agricultural and Food Sciences, University of Bologna, 47521 Cesena, Italy
3
Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy
*
Author to whom correspondence should be addressed.
Foods 2021, 10(9), 2138; https://doi.org/10.3390/foods10092138
Submission received: 20 July 2021 / Revised: 13 August 2021 / Accepted: 7 September 2021 / Published: 10 September 2021
(This article belongs to the Special Issue Safety of Processed Meat Products)
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Abstract

:
The work reports a case study describing how the competition wild microflora vs. starter cultures affects the final product characteristics. This study regards an industrial lot of Ventricina, an Italian long-ripened traditional fermented sausages, produced using starter cultures. After ripening, some relevant organoleptic defects (off-odour, crust formation) were observed. Therefore, analyses were carried out in the inner and outer sausage section to explain this phenomenon. Microbiological analyses indicated a high meat batter contamination and metagenomic analyses evidenced the inability of LAB starter cultures to lead the fermentation process. The results of this not controlled fermentation were the accumulation of high levels of biogenic amines (including histamine) and the formation of a volatile profile different if compared with similar products. Indeed, the volatilome analysis revealed unusually high amounts of molecules such as isovaleric acid, propanoic acid, 1-propanol, which can be responsible for off-odours. This study demonstrated that starter culture use needs to be modulated in relation to production parameters to avoid safety and organoleptic concerns.

1. Introduction

Ventricina is a fermented sausage typically produced in some Italian areas comprised between Abruzzo and Molise Regions. Despite the wide variability of local recipes, Ventricina is usually obtained by cutting pork lean meat, which represents about 80% of sausage, in rather big cubes (3–4 cm). The remaining fat part is constituted by bacon and thigh fat. In addition to salt and pepper, sometimes powdered sweet pepperoni and fennel flowers/seeds may be added. Traditionally, this sausage is stuffed in pork stomach for ripening, explaining the etymology of the Italian name (ventre = stomach). At an industrial level, it is stuffed in natural (pig bladder or veal caecum) or synthetic casings and ripened at low temperature for at least 100 days. The weight of the final product ranges from 1 to 2.5 kg. After the first 50 days of ripening, the external part is covered with pork lard to avoid excessive water losses [1,2].
In the absence of specific constraints due to protective marks (PDO, PGI), Ventricina may be produced everywhere, and many fermented meat industries located outside the traditional Regions of Italy produce this kind of sausage.
Likewise, in many other traditional salamis, the practices for Ventricina production have been modified applying industrial processes able to guarantee the safety and the standardization of the product, especially in the framework of the drastic reduction of salt following the request of markets, nutritionists, and consumers. This approach firstly requires the addition of starter cultures, sugars, and a rigorous control of temperature and humidity during fermentation and ripening [3].
The use of starter cultures (lactic acid bacteria, staphylococci, and moulds) became in the last decades a widespread operation in the fermented sausage industry. They are usually composed of lactic acid bacteria (lactobacilli and pediococci) and staphylococci, whose growth in the meat mixture is essential to inhibit the proliferation of pathogens, to impart the desired flavour, to control the colour formation, and to favour a correct water loss [4].
Starter cultures have to establish environmental supremacy with the microorganisms present in the raw material in order to obtain a product with the desired characteristics and to guarantee the safety issues of fermented sausages. However, this practice is still applied as an empirical operation and industrial operators sometimes perceive it as the adjunct of an additive, having little attention to this crucial production step and to the essential role carried out by this viable substrate. This role is dependent on many process factors (NaCl and nitrate/nitrite concentration, temperature) and raw material characteristics, first of all, the microbial quality of the meat, i.e., the qualitative and quantitative presence of wild microorganisms. The success of the competition depends on the first instance of the numerical ratio between starter culture added and microorganisms present. The initial contamination of meat in industrial production can be extremely variable: usually counts comprised between 3.2 and 5.3 log CFU/g are reported [5]. This variability is the consequence of slaughtering operations and eventual freezing/thawing procedures. Generally, a minimum ratio of 10:1 between starter cultures e natural microflora should be assured to avoid an inadequate activity or competitiveness of starter cultures towards the wild microbiota, which may cause several problems in the fermented sausages, raising both organoleptic and safety concerns.
This work is aimed to describe the defects that occurred in the industrial production of Ventricina as the results of the failed competition between the starter cultures added during manufacturing and the wild microorganisms present in the raw materials. For this reason, a metagenomic analysis on the microbial communities of the final product was performed, taking into consideration two different sections of the sausages, i.e., the internal part and the external part. In addition, the aroma profile through SPME-GC-MS and the biogenic amine content were determined.

2. Materials and Methods

2.1. Sausage Manufacture

The samples of Ventricina used in this study were industrially produced in an Italian company using frozen pork shoulder (90%) and lard cubes. The meat (600 kg) was minced (3–4 cm) and added with dextrose (0.1%), sodium chloride (2.6%), spices (black pepper, red pepper, fennel), nitrates and nitrites, commercial starter cultures (Latilactobacillus sakei, Pediococcus pentosaceus, Staphylococcus xylosus, and Staphylococcus carnosus (Biostart SPL-600, Probiotec, Villanova sull’Arda, Italy)). The meat mixture was then stuffed in a synthetic collagen casing (diameter 11 cm and initial weight approx. 4 kg) and transferred in the fermentation/ripening chamber under controlled conditions of temperature and relative humidity (RU): 3 days at 23 °C, RU 80–90%; 4 days at 17 °C, RU 60–90%; then 13 °C, RU 75–80% until the end of ripening (100 days). Samples were collected during fermentation and ripening to monitor pH, water activity, and weight loss. The final products were analysed to assess microbiota (with both culture-dependent and independent methods), biogenic amine content, and volatile profiles. For these analyses, two different parts of the sausages were considered: the outer section (3 cm of products immediately below the casing) and the inner one (center of the sausages). For each sampling, three different sausages were collected, each one analysed in triplicate, both for the inner and outer parts.

2.2. Weight Loss, aw and pH

Samples were weighed during the whole process to calculate the mean weight loss (%) with respect to the initial one; aw was measured in triplicate with an Aqualab CX3-TE (Labo-Scientific, Parma, Italy). The pH of fermented sausages during fermentation and ripening was determined in the inner and outer part of the product using a pH-meter Basic 20 (Crison Instruments, Barcelona, Spain).

2.3. Microbial Counts

After aseptically removing the casing, approx. 10 g of sausage were 10-fold diluted with 0.9% (w/v) NaCl and homogenized in a Lab Blender Stomacher (Seward Medical, London, UK) for 2 min. Decimal dilutions were performed and plated onto selective media. Counts of lactic acid bacteria (LAB) were carried out by plating appropriate dilutions on MRS agar incubated at 30 °C for 48 h in anaerobic conditions. Staphylococci and enterococci were counted by surface-plating on Baird-Parker (added with egg yolk tellurite emulsion), and Slanetz and Bartley medium incubated at 30 °C for 48 h and 44 °C for 24 h, respectively. Enterobacteriaceae and total coliforms were enumerated by pour plating in Violet Red Bile Glucose Agar and Violet Red Bile Lactose Agar, respectively, and then incubating the plates at 37 °C for 24 h. The total mesophilic count was determined on Plate Count Agar (28 °C for 48 h), while Pseudomonadaceae counts were performed on Pseudomonas Agar Base, supplemented with Pseudomonas CFC Supplement and incubated at 30 °C for 48 h. All media and supplements were purchased from Oxoid, Basingstoke (UK).

2.4. DNA Extraction and Sequencing

Total genomic DNA was directly extracted from 10 g of frozen Ventricina. The samples were dissolved in 90 mL of physiological solution (0.9% NaCl) and homogenized in a stomacher for 4 min at 430 beats per minute. After decanting, 1 mL of the supernatant was collected and subjected to enzymatic treatment towards bacteria (lysozyme) and yeasts (lyticase) at 37 °C for 1 h, followed by alkaline lysis with the addition of NaOH and SDS at a final concentration of 0.1 N and 1%, respectively. The extracted DNA was purified by chloroform:isoamyl alcohol 24:1 treatment and precipitated in 0.54 volumes of isopropanol. Finally, the purified DNA was resuspended in water and quantified using Qubit 4 Fluorimeter (ThermoFisher Scientific, Waltham, MA, USA). The concentration of the DNA samples was normalized, and the sequencing was carried out through the Illumina MiSeq platform which generated 300 bp pair-end sequencing reads. The library for Illumina sequencing was generated from V3-V4 variable regions of ribosomal 16S rRNA in order to characterize the bacterial population of the samples.

2.5. Bioinformatic Analysis

FASTQ sequence files from Illumina reads were generated using bcl2fastq2 version 2.18. Initial quality assessment was based on data passing the Illumina Chastity filtering. Subsequently, reads containing PhiX control signal were removed using an in-house filtering protocol. In addition, reads containing (partial) adapters were clipped (up to a minimum read length of 50 bp). A final quality assessment was performed on the remaining reads using the FASTQC quality control tool version 0.11.5. The FASTQ sequences obtained were analysed using DADA2 version 1.8 by R 3.5.1 environment. DADA2 implements a new quality-aware model of Illumina amplicon errors without constructing OTUs [6]. DADA2 was run as described in https://benjjneb.github.io/dada2/tutorial.html (accessed on 6 September 2021) applying the following parameters: trimLeft equal to 30 and truncLen option set to 270 and 200 for the forward and reverse fastq files, respectively. The taxonomic assignment was performed comparing the amplicon sequence variant (ASV) predicted from DADA2 against the SILVA database (version 128, https://www.arb-silva.de/documentation/release-128/; accessed on 6 September 2021). ASVs belonging to taxa classified as external samples [7] contaminations were not included in the composition analysis for the microbial population.

2.6. Organic Acid and Glucose Quantification

The extraction of organic acids was performed according to Montanari et al. [8]: 10 g of each sample were added with 40 mL of 0.05 mM sulfuric solution, homogenized for 10 min by an Omni Mixer Homogenizer (Omni International, Warrengton, VA, USA) and filtered through a 0.22 μm filter. The extract analysis was performed by using an HPLC (PU-2089 Intelligent HPLC quaternary pump, UV–VIS multi-wavelength detector UV 2070 Plus, Jasco Corp., Tokyo, Japan) and a manual Rheodyne injector with a 20 μL loop (Rheodyne, Rohnert Park, CA, USA), equipped with a Bio-Rad Aminex (Bio-Rad Laboratories, Hertfordshire, UK) HPX-87H column (300 × 7.8 mm). The following conditions were used: mobile phase, 0.005 M sulfuric acid; flow rate, 0.60 mL/min; temperature, 65 °C; the UV detector was set at 210 nm. Chromatographic peaks were identified by comparing retention times with those of standards (Sigma-Aldrich, St. Louis, MO, USA) and quantification was carried out by using the external standard method.
For the extraction of glucose, 3 g of sample were dissolved in 15 mL of water and defatted by adding 30 mL of n-hexane followed by stirring for 30 min at room temperature (22 °C). The samples were centrifuged at 4000 rpm for 10 min and treated as reported by Tabanelli et al. [9]. A HPLC apparatus (Agilent Technologies 1200 series) equipped with 2 binary pumps, an evaporative light scattering detector (ELSD), and a Luna NH2 250 × 4.6 mm, 5 μm column (Phenomenex Inc., Torrance, CA, USA.) was used. Glucose was eluted with a water: acetonitrile 30:70 (v/v) solution as mobile phase (flow rate 1.0 mL/min) in isocratic mode.

2.7. Biogenic Amine Content

For the detection of biogenic amine (BA) content, samples were subjected to an extraction with trichloroacetic acid followed by derivatization with dansyl chloride, as described by Pasini et al. [10]. The biogenic amines content was analysed using a HPLC Agilent 1260 Infinity (Agilent Technologies Inc., Santa Clara, CA, USA) with a UV detector (G1314F VWD 1260) at 254 nm. The amounts of amines were expressed as mg/L by reference to a calibration curve obtained with aqueous biogenic amine standards derivatized as described for the samples.

2.8. NaCl Concentration

The determination of salt concentration was carried out using Near Infrared Transmission with FoodScan instrument for non-homogeneous products, such as salami (Foss, Hilleroed, Denmark).

2.9. Aroma Profile Analysis

Volatile organic compounds of samples were analysed with gas chromatography-mass spectrometry coupled with solid-phase microextraction (SPME-GC-MS), using an Agilent Hewlett–Packard 6890 GC gas-chromatograph and a 5970 MSD MS detector (Hewlett–Packard, Geneva, Switzerland) equipped with a Varian (50 m × 0.32 mm × 1.2 μm) fused silica capillary column. Samples (3 g) were placed in 10 mL sterilized vials, added with a known amount of 4 methyl- 2-pentanol (Sigma-Aldrich, Steinheim, Germany) as internal standard, and sealed by PTFE/silicon septa. The samples were heated for 10 min at 45 °C and then a fused silica SPME fiber covered with 85 μm Carboxen/Polydimethylsiloxane (CAR/PDMS) (Supelco, Steinheim, Germany) was introduced into the headspace for 40 min. Adsorbed molecules were desorbed in the gas-chromatograph for 10 min. The conditions were the same reported by Montanari et al. [8]. Volatile peak identification was carried out by computer matching of mass spectral data with those of compounds contained in the libraries NIST 2005 and 2011. Data reported are the means of three different sausages.

2.10. Statistical Analysis

Three independent different sausages were investigated with each analysed in triplicate. The data were statistically analysed using the Mann-Whitney test to determine differences among different conditions (p < 0.05). All statistical analyses were carried out by using Statistica 8.1 (StatSoft Italy srl, Vigonza, Italy).

3. Results and Discussion

3.1. Analyses of the Meat Mixture and Control of Ripening Parameters (pH, Weight Losses and aw)

The viability of the starter cultures was assessed before use and the results were 9.80 (±0.32) and 10.00 (±0.29) log CFU/g of dried culture for LAB and coagulase-negative staphylococci (CNS), respectively. These initial concentrations, combined with the dilution used during the meat mixture preparation, determined a LAB inoculum of about 5.5 log CFU/g and a CNS inoculum of about 5.7 log CFU/g. The meat mixture used for sausage preparation was analysed before the addition of starter cultures and the results evidenced relevant microbial contamination. In particular, the LAB count was 5.78 (±0.10) log CFU/g, CNS 5.85 (±0.12) log CFU/g, total coliforms 2.90 (±0.10) log CFU/g and Enterobacteriaceae 2.45 (±0.17) log CFU/g. In addition, pH (5.70 ± 0.02), NaCl content (2.64% ± 0.01) and glucose concentration (0.49 ± 0.03 g/kg) of the meat mixture were determined.
During drying and ripening, pH, weight losses, and aw were monitored. Regarding pH, measurements were carried out in the outer and inner sections. The results (Figure 1) showed that the initial pH value of 5.70 decreased to 4.75 at the end of fermentation (approx. 13 days). After this phase, it constantly increased to reach, after 100 days, a value close to the initial one in the inner part (5.70). A different behaviour characterized the outer part in which the pH reduction was slightly lower, followed by a rapid increase (5.28 after 28 days). During the long ripening, pH continued to increase. At the end of ripening the pH of the outer part was, as expected, higher than the inner part.
These differences, related to the respiration of lactate, can be explained by the activity of mould grown on the casings, and by the activity of staphylococci which take advantage of the higher oxygen concentration immediately below casings.
The weight losses and aw during fermentation and ripening are reported in Figure 2. The sausage weight, after a rapid diminution of about 12% after six days slowed its decrease reaching a reduction of 36.4% at the end of ripening. The aw consequently decreased reaching a value of 0.919 after 100 days. However, it is interesting to note that between 6 and 13 days it remained constant at rather high values (0.958) despite the diminution of weight at the same time.

3.2. Microbiological Analyses and Organic Acid Concentrations of the Ripened Sausages

At the end of ripening an olfactive defect in the sausages was present, consisting of off-odours which can be defined as sweaty, pungent, putrefactive. In addition, sausages were characterized by the formation of a crust on the outer side. For these reasons, the microbial population present in the inner and the outer part of the final sausages was analysed (Table 1).
LAB were the dominant group with counts higher than 8 log CFU/g in all the samples, without significant differences in relation to the sausage sections. Conversely, for CNS significant differences were observed and levels higher than 7 log CFU/g were reached only in the outer sections. At the end of ripening both enterobacteria and pseudomonads were below the detection limits (1 log CFU/g), while enterococci were detected in low amounts (less than 2 log CFU/g) only in the inner part of the samples.
In the same table, lactic and acetic acid concentrations are reported. Relevant differences were observed between the sections. Indeed, lactic acid had a concentration higher than 11 g/kg in the inner samples, while in the outer part its concentration was 6.01 g/kg. The consumption of lactate is generally attributed to fungi (moulds and, eventually, yeasts). Nevertheless, also staphylococci, in the absence of sugars, can use lactate as the energy source for growth [11]. Acetic acid presented higher concentrations in the inner section (2.32 g/kg) with respect to the outer one (1.47 g/kg).

3.3. Metagenomic Analyses

Metagenomic analysis was carried out to verify the contribution of different microbial populations (including starter cultures) to sausage fermentation and ripening. Also, in this case, the inner and the outer part were analysed separately.
A total of more than 800 amplicon sequence variants (ASVs) were detected. In Table 2 the percentage of the ASVs attributed to species or genera in the different sausage sections is shown. Only species and genera which reached a concentration higher than 0.5% in at least one of the samples are reported. Among the most important genera, Staphylococcus spp. was present in extremely different proportions in the inner and outer parts of the sausages (31.34 vs. 84.71% of ASVs, respectively). The relevance of staphylococci in the external part of these sausages can be related to higher oxygen availability. The protocol applied in the present study did not allow the identification at the species level. In any case, it cannot discriminate between added and autochthonous staphylococci, which were present in the meat batter after casing in similar proportion with respect to starter cultures added. Noteworthy, the prevalence of staphylococci showed by the metagenomic analysis did not confirm the data of plate counting according to which LAB counts were higher (more than 1 log unit) than staphylococci, even in the outer section. On the other hand, this analytical approach gave a picture of the microbial population throughout all the productive processes, rather than information about viable and cultivable cells at a given time (in this case after 100 days of ripening).
Lactobacilli were identified at genus level, according to the revision of the Genus Lactobacillus recently proposed [12]. Several differences were observed regarding the inner/outer part of sausages. Firstly, they represented 56.32% and 10.20% of ASVs in the inner part and in the outer part, respectively. Six different Genera were detected: Latilactobacillus, Lactiplantibacillus, Lentilactobacillus, Loigolactobacillus, Companilactobacillus and Lacticaseibacillus. The quantitative composition of the lactobacilli community demonstrated the inability of the starter cultures to dominate the environment. In fact, Latilactobacillus spp. (presumably the Lat. sakei strain used as starter culture) represented only the 26.15% of ASVs in the inner part of Ventricina, while it accounted only for 1.31% of ASVs in the outer part of the samples. The Genus Lactiplantibacillus, which includes the species Lpb. plantarum and Lpb. paraplantarum often isolated from spontaneously fermented sausages [13], represented the 15.15% of ASV in the internal of sausages, while it was the most representative LAB in the outer part (5.27%).
A relevant proportion of heterofermentative LAB belonging to the genus Lentilactobacillus was also observed, i.e., 9.70 and 2.57% in the inner and outer part, respectively. This Genus includes species such as Len. buchneri, which are never dominating in sausages fermentation but may be present as contaminants [14]. Lower ASVs percentages were ascribed to other lactobacilli, such as Companilactobacillus sp., Loigolactobacillus and Lacticaseibacillus sp.
Among the other LAB detected, P. pentosaceus reached a concentration of 1.15% and 0.08% of ASVs in the inner and the outer part, respectively. This species was added as a starter culture, but it is clear that it did not grow during fermentation and ripening. Other LAB species detected at low concentration were Tetragenococcus koreensis, Lactococcus lactis, Weissella sp., and Streptococcus sp. Many of these species have already been described in spontaneously fermented sausages [15,16] and they may derive from the meat of other ingredients used for sausage manufacture.
Other Gram-positive bacteria detected belonged to the Propionibacteriaceae (Cutibacterium sp.) and Corynebacteriaceae (Corynebacterium accolens), especially in the inner part of sausages. A relevant presence (1.5% of ASV) of Actinomyces sp. was observed only in the outer part of the sausage.
Few Gram-negative bacteria were revealed by the metagenomic analysis. In the inner part of sausage low concentrations of Bacteroidetes (Prevotella conceptionensis and Cloacibacterium normanense) were observed while, among Proteobacteria, Pseudomonas sp. prevailed.

3.4. Biogenic Amines Determination

The BA amount resulted extremely high in both sausage parts (Table 3). In general, the BA content was higher in the inner part of sausages due to the major activity of decarboxylases in the presence of low oxygen concentration and the response to acid stress determined by the lower pH [17]. Histamine, the most dangerous BA, reached worrying concentrations (223.6 mg/kg) in the internal part of samples. There are no legal limits for BAs in sausages, but a limit of 200 mg/kg of this amine is reported in the European regulation 2073/2005 for some fishery products [18]. The concentration of tyramine was very similar to histamine (about 200 mg/kg in all the samples).
Relevant differences between the outer and inner parts were observed for putrescine and cadaverine. Putrescine, deriving from ornithine decarboxylation, showed concentrations of 351.5 mg/kg inside the sausages, while in the external part the values were 211.1 mg/kg. A similar behaviour characterized cadaverine (produced through lysine decarboxylation), whose concentration was 597.0 mg/kg in the inner section of sausages and 270.8 mg/kg in the outer section. 2-phenylethylamine was accumulated in negligible amounts (lower than 20 mg/kg), similarly in both sections.
The presence of such relevant amounts of BAs is a further indication of the failure of the starter cultures in colonizing the meat environment. In fact, one of the criteria in the selection of microorganisms for food fermentation is the inability to produce these dangerous compounds. In addition, the species Lat. sakei is characterized by the lack of amino acid decarboxylase activity, except for some strains able to produce small amounts of putrescine from ornithine deriving from arginine deiminase (ADI) pathway [19,20]. Thus, other bacteria are involved in the decarboxylase activities. Regarding tyramine, it is well known that LAB are the most efficient producers of this BA [21]. Given the enterococci (the most active in tyrosine decarboxylation) counts reported in Table 1, other LAB, among which many lactobacilli (such as Levilactobacillus brevis, Limosilactobacillus fermentum, Lpb. plantarum, Len. buchneri, Lcb. casei) can be considered responsible for its accumulation [21,22]. Similarly, histamine can be produced by several LAB species, such as Len. buchneri, Lpb. Plantarum, and Lcb. casei [22].
The great production of aliphatic polyamines (cadaverine and putrescine) observed in these sausages is usually associated with a relevant growth of Gram-negative bacteria, and, in particular, of Enterobacteriaceae [23]. According to the metagenomic analysis, the presence of ASVs attributable to this family is rather limited. Thus, the production could be again attributed to LAB. In fact, the ability to produce great amounts of cadaverine and putrescine has already been observed in Lpb. plantarum [24] and Levilactobacillus brevis [25]. Alternatively, an initial growth of Gram-negative bacteria at the beginning of fermentation could be responsible for their accumulation, taking into account that the decarboxylases can be active also outside the cells following bacterial death and cell lysis [26]. In this case, it is possible that the DNA of these cells has been depleted by other bacteria (mainly LAB) during the 100 day ripening period for using nucleosides as carbon source in a limiting nutritional environment, as demonstrated in Lat. sakei [27].

3.5. Aroma Profile of Sausages

The aroma profile of the final products was analysed using a SPME-GC-MS protocol already described for sausages [8] to investigate the causes of the off-odours that were perceived at the end of ripening. The results are reported in Table 4.
Among aldehydes, benzeneacetaldeyde and benzaldehyde, deriving from phenylalanine metabolism [28], were dominant (approx. 8–10% of the total volatile profile) without significative changes in relation to the section of the sausage considered. These two compounds are often detected in fermented sausages, even if data obtained under the same conditions in other Italian salamis showed a lower proportion with respect to the results obtained in this trial [29]. The presence of aldehydes deriving from lipid oxidation was scarce since only small quantities of nonanal and decanal were detected. Usually, these compounds are present in larger amounts in Mediterranean fermented sausages [8,29]. This scarce presence may be due to the long ripening times, during which further transformations of these molecules can occur, or to the low-fat content of this type of sausage. In addition, the big size of fat cubes used in the recipe can reduce the total fat surface exposed to lipid oxidation.
Alcohols were present with higher content in the outer part of sausages. Usually, ethanol is the main alcohol in Italian salamis [29]. Its presence can be attributed to several pathways and, together with acetic acid, may result from the LAB metabolism of lactate [30]. In this case, 1-propanol showed a higher amount. This compound is usually detected in lower proportions in analogous products [29]. It may be produced by the reduction of the corresponding aldehyde (propanal), which can be formed by oxidative reactions [31]. Alternatively, some LAB (such as Limosilactobacillus reuteri) can produce 1-propanol as a result of secondary pathways addressed to NADH regeneration [32]. This molecule is responsible for acid and fermented odour notes [33], and its high concentration may contribute to the odour defect of the ripened product. 2-butanol, resulting from the reduction of 2-butanone, presented a similar behaviour. Benzyl alcohol and phenethyl alcohol are the results of the reduction of benzaldehyde and benzeneacetaldehyde, respectively.
The presence of ketones was low and mainly represented by 2-butanone. High amounts of this ketone were found in Italian sausages with a large diameter characterized by olfactive defects [8]. The presence of methyl ketones in sausages may derive from β-ketoacids produced during β-oxidation carried out by moulds and staphylococci [34,35]. Nevertheless, lactobacilli can produce 2-butanone starting from diacetyl through the action of a diol dehydratase [36]. However, differently from other similar products, the presence of diacetyl or acetoin was never detected in these sausages.
Several esters were detected, even if these compounds accounted for a limited proportion of volatile molecules. They were mainly represented by ethyl or propyl esters and no differences were observed in relation to the sausage section. This high proportion of propyl esters is not common in Italian fermented sausages [29], and it was evidently associated with the unusually high concentration of propionic acid present. Staphylococci are usually responsible for the major esterase activity in sausages [37,38].
Acids represented the main constituents of the volatile profile (58.6% and 49.3% of the total volatiles in the internal and in the outer section, respectively). These percentages are very high if compared with similar products, where these compounds reached a maximum concentration of 25%. Acetic acid was about one-third of the total acids, similar to the levels found in other large diameter Italian sausages [29]. More unusual was the high concentration of other acids, such as propanoic, butanoic, hexanoic, and octanoic acid. All these molecules are characterized by unpleasant flavour notes, described as rancid, sweaty, pungent, cheesy, sour. Propionic acid is the final metabolic product of Propionibacteriaceae to which belongs the Genus Cutibacterium found in relevant amounts (2.90%) in the internal part of sausages, according to the metagenomic analysis (Table 2).
In addition, a relevant concentration of 3-methylbutanoic acid was detected. According to Smit et al. [39], this acid derives from leucine metabolism, which is firstly deaminated, and then the resulting α-ketoisocaproic acid can be transformed into isovaleric acid following two ways, the first involving the action of a decarboxylase and the second a α-ketoacid dehydrogenase (oxidative decarboxylation). This second way allows the production of ATP and may be advantageous for bacteria in an environment poor in fermentable substrates such as sausages after several weeks of ripening.
The presence of isovaleric acid in fermented sausages is well documented [40]. It is characterized by a high odour activity value and is accumulated mainly at the end of the ripening process [41]. Its contribution to the overall sausage aroma depends on its concentration, which is characterized by mild sweet or fruity notes at low amounts [42], while high concentrations may result in cheese, feet, and dirty socks smell [41]. The possibility to produce isovaleric acid starting from leucine has already been described in Carnobacterium piscicola [43], Staphylococcus carnosus [44,45], and in aspergilli and penicilli [46]. In particular, the products of leucine metabolism have been considered as metabolic markers for staphylococci activity in fermented meat [47,48].

4. Conclusions

The defects presented by the fermented sausages must be attributed in the first instance to a failure in the activity of the selected LAB (Lat. sakei and P. pentosaceus) added as starter cultures to lead the fermentation. The raw meat was characterized by a high microbial count and the starter cultures were not able to colonize the environment reducing or inhibiting the growth of the wild LAB communities as demonstrated by the metagenomic analysis. The predominance of staphylococci can be the main cause of the off-odour formation. The metagenomic analysis was not able to identify the staphylococcal species and therefore to understand if this defect is due to the strains used as starter cultures (S. xylosus and S. carnosus) or to other species frequently associated with fermented sausages. In any case, the defects observed (including crust formation and BA accumulation) can be associated with an improper fermentation process, despite the use of starter cultures.
The conclusion of this work is that the addition of a starter culture is necessary but not sufficient to obtain an acceptable quality level. The use of starter culture needs to be modulated in relation to other production parameters. In particular, the initial microbial contamination of meat can affect the ability of the selected bacteria to colonize the environment, bringing to safety (BAs content) and organoleptic (off-odours) concerns.

Author Contributions

Conceptualization, G.T., C.M. and F.G.; Formal analyses, F.B.; Investigation, C.M., F.B.; Writing—original draft preparation, G.T.; Writing—review and editing, C.M. and F.G.; Supervision, F.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors confirm that they have no conflict of interest with respect to the work described in this manuscript.

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Foods 10 02138 g001 550
Figure 1. Evolution of pH during the 100 days ripening period in the inner and in the outer section of Ventricina samples. Standard error bars are showed. Sampling times with an asterisk were characterized by significant differences between samples according to Mann-Whitney test.
Figure 1. Evolution of pH during the 100 days ripening period in the inner and in the outer section of Ventricina samples. Standard error bars are showed. Sampling times with an asterisk were characterized by significant differences between samples according to Mann-Whitney test.
Foods 10 02138 g001
Foods 10 02138 g002 550
Figure 2. Evolution of weight loss and water activity (aw) during the 100 days ripening period of Ventricina samples. Standard error bars are showed.
Figure 2. Evolution of weight loss and water activity (aw) during the 100 days ripening period of Ventricina samples. Standard error bars are showed.
Foods 10 02138 g002
Table
Table 1. Microbiological analyses (log CFU/g) and organic acids concentration (g/kg) of the ripened sausages in the inner and in the outer section. Results are the mean of three independent repetitions. For each microbial group and organic acid significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
Table 1. Microbiological analyses (log CFU/g) and organic acids concentration (g/kg) of the ripened sausages in the inner and in the outer section. Results are the mean of three independent repetitions. For each microbial group and organic acid significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
Inner SectionOuter Section
Microbial groups (log CFU/g)LAB8.36 (±0.26)8.51 (±0.18)
Staphylococci (CNS) *6.84 (±0.22)7.29 (±0.19)
Total mesophilic count8.51 (±0.25)8.50(±0.36)
Enterobacteriaceae<1<1
Enterococci *1.78 (±0.51)<1
Pseudomonas<1<1
Organic acids (g/kg)Lactic acid *11.59 (±1.03)6.01 (±0.28)
Acetic acid *2.32 (±0.16)1.47 (±0.11)
Table
Table 2. Microbial community composition (by 16S rRNA gene V3–V4 region sequencing) of the inner and outer section of the ripened Ventricina samples. Only the amplicon sequence variants (ASVs) which reached a concentration higher than 0.5% in at least one of the samples are reported.
Table 2. Microbial community composition (by 16S rRNA gene V3–V4 region sequencing) of the inner and outer section of the ripened Ventricina samples. Only the amplicon sequence variants (ASVs) which reached a concentration higher than 0.5% in at least one of the samples are reported.
PhylumClassOrderFamilyIdentificationInner Section (%)Outer Section (%)
ActinobacteriaActinobacteriaPropionibacterialesPropionibacteriaceaeCutibacterium sp.2.900.09
ActinobacteriaActinobacteriaActinomycetalesActinomycetaceaeActinomyces sp.0.011.50
ActinobacteriaActinobacteriaCorynebacterialesCorynebacteriaceaeCorynebacterium accolens1.350.04
ActinobacteriaActinobacteriaCorynebacterialesCorynebacteriaceaeCorynebacterium sp.0.100.62
FirmicutesBacilliBacillalesStaphylococcaceaeStaphylococcus spp.31.3484.71
FirmicutesBacilliLactobacillalesEnterococcaceaeTetragenococcus koreensis0.071.71
FirmicutesBacilliLactobacillalesLactobacillaceaeLactiplantibacillus spp.15.155.27
FirmicutesBacilliLactobacillalesLactobacillaceaeLatilactobacillus spp.26.151.31
FirmicutesBacilliLactobacillalesLactobacillaceaeLentilactobacillus spp.9.702.57
FirmicutesBacilliLactobacillalesLactobacillaceaeLoigolactobacillus spp.2.470.47
FirmicutesBacilliLactobacillalesLactobacillaceaeCompanilactobacillus sp.1.990.52
FirmicutesBacilliLactobacillalesLactobacillaceaeLacticaseibacillus spp.0.860.06
FirmicutesBacilliLactobacillalesLactobacillaceaePediococcus pentosaceus1.150.08
FirmicutesBacilliLactobacillalesLeuconostocaceaeWeissella sp.0.190.91
FirmicutesBacilliLactobacillalesStreptococcaceaeStreptococcus sp.1.570.01
FirmicutesBacilliLactobacillalesStreptococcaceaeLactococcus lactis0.690.05
ProteobacteriaGammaproteobacteriaPseudomonadalesPseudomonadaceaePseudomonas sp.3.340.07
Table
Table 3. Biogenic amine content (expressed as mg/kg) of the ripened sausages in the inner and in the outer section. Results are the mean of three independent repetitions. For each compound significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
Table 3. Biogenic amine content (expressed as mg/kg) of the ripened sausages in the inner and in the outer section. Results are the mean of three independent repetitions. For each compound significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
SampleBiogenic Amines (mg/kg)
Histamine *Tyramine *Putrescine *Cadaverine *2-phenyl-Ethylamine *BA Total Amount *
Inner section223.6 (±17.2) 226.3 (±15.2) 351.5 (±24.3) 597.0 (±33.2) 15.2 (±4.6) 1413.6 (±21.4)
Outer section151.2 (±13.7) 181.5 (±6.33) 211.1 (±12.4) 270.8 (±18.4) 10.7 (±5.2) 825.3 (±16.3)
Table
Table 4. Aroma profile of sausages detected by SPME-GC-MS in the ripened sausages in the inner and in the outer section. Data are expressed as percentage of the ratio between peak area of each molecule and peak area of the internal standard (4-methyl-2-pentanol). Results are the mean of three independent repetitions and standard deviations are reported in brackets. For each molecule significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
Table 4. Aroma profile of sausages detected by SPME-GC-MS in the ripened sausages in the inner and in the outer section. Data are expressed as percentage of the ratio between peak area of each molecule and peak area of the internal standard (4-methyl-2-pentanol). Results are the mean of three independent repetitions and standard deviations are reported in brackets. For each molecule significant differences between samples according to Mann-Whitney test are indicated by the presence of an asterisk.
MoleculeInner Section (%)Outer Section (%)
Nonanal 0.50 (±0.17)0.31 (±0.15)
Decanal0.03 (±0.04)0.05 (±0.05)
Benzaldehyde 0.75 (±0.12)0.97 (±0.23)
Benzeneacetaldehyde7.27 (±0.83)9.28 (±1.27)
Total aldehydes8.5510.61
Ethyl alcohol *8.33 (±1.10)9.79 (±0.78)
2-Butanol *4.97 (±0.23)6.28 (±0.41)
1-Propanol *9.91 (±0.71)11.51 (±0.23)
Benzyl alcohol0.62 (±0.42)0.87 (±0.31)
Phenylethyl alcohol 2.08 (±0.24)2.24 (±0.33)
Total alcohols25.9130.69
2-Butanone *2.57 (±0.15)4.63 (±0.66)
3-Penten-2-one, 4-methyl 0.39 (±0.12)0.66 (±0.31)
2-Nonanone0.05 (±0.07)0.18 (±0.15)
Total ketones3.015.47
Ethyl Acetate0.61 (±0.11)0.58 (±0.16)
Propanoic acid, ethyl ester0.40 (±0.08)0.38 (±0.13)
n-Propyl acetate0.98 (±0.21)0.87 (±0.09)
Propanoic acid, propyl ester0.93 (±0.23)1.07 (±0.09)
Octanoic acid, ethyl ester 0.48 (±0.15)0.53 (±0.22)
Octanoic acid, propyl ester0.48 (±0.08)0.52 (±0.12)
Total esters3.883.95
Acetic acid *28.35 (±1.66)23.75 (±1.15)
Propanoic acid *6.94 (±0.72)5.61 (±0.48)
Butanoic acid 1.23 (±0.22)1.08 (±0.31)
Butanoic acid, 3-methyl2.96 (±0.18)2.85 (±0.33)
Hexanoic acid *1.16 (±0.26)0.34 (±0.19)
Octanoic acid2.14 (±0.36)1.75 (±0.24)
n-Decanoic acid1.57 (±0.15)1.39 (±0.35)
n-Hexadecanoid acid *14.30 (±0.97)12.51 (±0.90)
Total acids58.6549.28
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Montanari, C.; Barbieri, F.; Gardini, F.; Tabanelli, G. Competition between Starter Cultures and Wild Microbial Population in Sausage Fermentation: A Case Study Regarding a Typical Italian Salami (Ventricina). Foods 2021, 10, 2138. https://doi.org/10.3390/foods10092138

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Montanari C, Barbieri F, Gardini F, Tabanelli G. Competition between Starter Cultures and Wild Microbial Population in Sausage Fermentation: A Case Study Regarding a Typical Italian Salami (Ventricina). Foods. 2021; 10(9):2138. https://doi.org/10.3390/foods10092138

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Montanari, Chiara, Federica Barbieri, Fausto Gardini, and Giulia Tabanelli. 2021. "Competition between Starter Cultures and Wild Microbial Population in Sausage Fermentation: A Case Study Regarding a Typical Italian Salami (Ventricina)" Foods 10, no. 9: 2138. https://doi.org/10.3390/foods10092138

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