Journal of Chemistry

Journal of Chemistry / 2015 / Article

Research Article | Open Access

Volume 2015 |Article ID 597471 |

V. Gianotti, S. Panseri, E. Robotti, M. Benzi, E. Mazzucco, F. Gosetti, P. Frascarolo, M. Oddone, M. Baldizzone, E. Marengo, L. M. Chiesa, "Chemical and Microbiological Characterization for PDO Labelling of Typical East Piedmont (Italy) Salami", Journal of Chemistry, vol. 2015, Article ID 597471, 22 pages, 2015.

Chemical and Microbiological Characterization for PDO Labelling of Typical East Piedmont (Italy) Salami

Academic Editor: Vibeke Orlien
Received18 Sep 2014
Revised26 Dec 2014
Accepted06 Jan 2015
Published29 Apr 2015


This study is focused on the characterisation of typical salami produced in Alessandria province (North West of Italy). Seventeen small or medium salami producers from this area were involved in the study and provided the samples investigated. The aim is double and consists in obtaining a screening of the characteristics of different products and following their evolution along ripening. The study involved five types of typical salami that were characterised for aroma components and nutritional features. This approach could provide a basis for a possible PDO or PGI label request. Principal Component Analysis and cluster analysis were used as multivariate statistical tools for data treatment. The overall results obtained point out that the products investigated do not deviate from analogous European products and show the possibility of characterising by specific parameters three main groups of samples: Salamini di Mandrogne, Muletta, and Nobile Giarolo; moreover some considerations can also be drawn with respect to the nutritional characterization considering the biogenic amines profile.

1. Introduction

The general term “salami” indicates stuffed meat products, very diffused and largely consumed because of their textural, sensorial, and nutritional properties. Different kinds of salami can be distinguished as a function of several factors, that is, fineness of the meat, formulation, consistency, and storage conditions [1]. The different appearance and taste also depend on the production strategies, the addition of spices, the use of microbial starters, and the environmental parameters experienced during fermentation and ripening processes. To protect the peculiarity of a typical product, it is first necessary to identify and quantify those variables that better describe its characteristics. These features permit promoting the product through the development of a certificate of origin that also reports the production process and the geographical origin. To this purpose a series of chemical and microbiological analyses are generally performed. Volatile organic compounds (VOCs) characterisation is useful to investigate the aroma properties of meat products [27]. The typical aroma of the products depends on a large number of volatile species, whose nature and amount can be related to the raw matter composition and the different ingredients as well as to the processing conditions including fermentation and ripening. The aroma can arise from a complex pattern of chemical reactions that take place among components, as, for example, oxidation of unsaturated fatty acids or microbiological metabolisms of lipids, proteins, and carbohydrates. The analysis of the volatile fraction has been associated with the compositional, biochemical, and microbiological characterisation to compare three Italian PDO (Protected Denomination of Origin) fermented sausages (namely, Varzi, Brianza, and Piacentino) [8]. Only few data are present regarding the characterisation of long ripened salami and, to our knowledge, no study simultaneously treats the chemical and microbiological data with methods of multivariate data analysis [7, 9]. Characterisation analyses concerning the distinctive properties of typical products are often promoted by authorities with the aim to support the possible request of PDO and PGI (Protected Geographical Indication) labelling. The present paper presents a wide characterisation study of typical homemade salami produced in the Alessandria province (North West of Italy). The scope of this work regards screening the characteristics of five different products (Muletta Monferrina, Salame Nobile del Giarolo, Filetto Baciato, Tipico Tortonese, and Salamini di Mandrogne) and following their evolution along ripening: microbiological and chemical analyses were carried out regarding both nonvolatile and volatile fractions. The analysis of the nonvolatile fraction and the microbiological determinations gives information about taste, as well as about ripening time and hygienic conditions of production. In particular, the iodine value (index of the unsaturation degree of fat) [10, 11] and the saponification number (measure of the average molecular weight of all fat present in the sample) give useful information about the nutritional characteristics; metal content instead, in particular the rare earth elemental composition, can be very useful to provide information about the geographical provenience [12, 13]. All data collected were treated by multivariate statistical analysis techniques as Principal Component Analysis (PCA) and Cluster Analysis. PCA was firstly applied to the overall set of data collected at all the ripening stages considered, to provide a general description of the relationships existing between samples and variables. Then, the analysis was focussed on the samples collected at the selling stage only, to provide a description of the products as they reach the consumer table.

2. Materials and Methods

2.1. Salami Samples

Five different local salami products were involved in the study, namely, Muletta Monferrina, Salame Nobile del Giarolo, Filetto Baciato, Tipico Tortonese, Filzetta, and Salamini di Mandrogne. The samples were provided by the 17 producers cooperating to the study, in particular, nine different producers regarding Salamini di Mandrogne and two different salami factories for the other salami products. Samples were provided both at their production time () and at different time points during ripening, comprising the selling time. Different typical products show different monitoring schedule along time, as they show different optimal ripening periods until selling: 2, 3, 4, 5, and 6 months () for Muletta Monferrina; 1, 2, 3, and 4 months () for Nobile del Giarolo; 1 and 2 months (-) for Filetto Baciato and Tipico Tortonese. Salamini di Mandrogne were analysed only at the production time () as they are sold fresh. The salami analysed was identified by a four-character label: the first two letters indicate the type of sample (MU = Muletta, FI = Filetto, GI = Giarolo, SM = Salamini di Mandrogne, and SA = Tipico Tortonese); the third letter indicates the manufacturer (A or B); the fourth character is a number indicating the months of ripening and ranges from 0 (production time) to 6 (number of months of ripening). Samples were provided in triplicate by each producer for each ripening time; results for each determination were provided for each sample and the three replicates for each producer were then averaged.

2.2. Chemicals

KOH ≥ 85.5%, CCl4 ≥ 99.8%, CH3COONa ≥ 99%, Na2SO4 ≥ 99.5%, Na2HPO4·12 H2O ≥ 99%, and Na2C2O4 ≥ 98% were purchased from Carlo Erba (Milan, Italy). CuSO4 ≥ 99%, K2SO4 ≥ 99%, Se ≥ 99%, H2SO4 ≥ 95–98%, NaOH ≥ 98%, KI ≥ 99%, HCOOH ≥ 96% ACS, KNO2 ≥ 97%, CH3COONH4 ≥ 99.9%, Na2S2O3 ≥ 99%, 1% (w/V) water solution of starch indicator, L-lysine ≥ 98%, tryptamine hydrochloride 99%, methyl red crystals ACS reagent, phenolphthalein RPE-ACS, and the C6–C22 series of -alkanes were purchased from Sigma-Aldrich (Schnelldorf, Germany). Acetonitrile ≥ 99.9% HPLC grade, HCOONH4 ≥ 99.9%, and HCl ≥ 37% were purchased from VWR International (Darmstadt, Germany). Ethyl alcohol ≥ 99.8%, cadaverine dihydrochloride > 99%, histamine dihydrochloride > 99%, dansyl chloride ≥ 99%, petroleum ether puriss. p.a. ACS reagent bp 40–60°C, L-histidine ≥ 99.5%, L-tyrosine ≥ 99%, octylamine ≥ 99%, NaHCO3 ≥ 99%, and HNO3 ≥ 69.5% were purchased from Fluka (Buchs, Switzerland). H3PO4 ≥ 85%, KNO3 ≥ 99%, KCl ≥ 99.5%, and Symphony potentiometric buffer solutions (pH 4.00, 7.00, and 10.00) were purchased from Merck (Darmstadt, Germany). Hydromatrix was purchased from Varian (Palo Alto, CA, USA) and Wijs solution 0.1 M in acetic acid from Riedel de Haen (Seelze, Germany). MRS agar was purchased from LAB M (Bury, UK), Tryptone Soya Agar and Mannitol Salt Agar were purchased from Oxoid (Rodano Milan, Italy). Ultrapure water was produced by a Millipore Milli-Q system (Milford, MA, USA).

2.3. Equipment

The following apparatus were used for the preparation of the samples: Stomacher Circulator (PBI International, Milan, Italy), oven EWTQ905 (Falc Instruments, Treviglio, Bergamo, Italy), muffle Pyro High Temperature Microwave (Milestone, Shelton, CT, USA), accelerated solvent extractor ASE 100 (Dionex, Sunnyvale, CA), centrifuge IC CL31R Multispeed (Thermo Electron Corporation, Waltham, MA, USA), and Sartorius balance CP225D-0CE (0.00001 g) (Goettingen, Germany). pH measurements were performed by a Symphony SB70P pH meter (VWR, Darmstadt, Germany), equipped with a combined glass Ag/AgCl electrode. Conductivity was measured by a conductometer ATC HI 9033 (Hanna Instruments, Woonsocket, RI, USA). HPLC analyses of nitrite and nitrate ions were carried out by a Merck-Hitachi HPLC system (Tokyo, Japan) equipped with L-6200 intelligent pump interfaced to an L-4250 UV-Vis detector and to D-2500 Chromato-integrator. Biogenic amines and their precursor amino acids were determined by HPLC Spectra System (Providence, RI, USA), equipped with a Spectra System pump P4000, a Spectra System SCM 1000 degasser, an autosampler Spectra System AS 3000, UV 6000 LP detector, and the software ChromQuest. Metals determination was performed by a Thermo Fisher XSeries 2 ICP-MS (Winsford, UK), equipped with an Apex-Q fully-integrated inlet system (Elemental Scientific Inc. Omaha, USA) and the software PlasmaLab V2.5.4.289. The analysis of volatile compounds was carried out on a TraceGC Ultra gas chromatograph (Thermo Finnigan, Milan, Italy) equipped with a split/splitless (SSL) injector, a CombiPal (CTC analytics, Zwingen, Switzerland) autosampler and coupled with a TRACE DSQ (Finnigan, Milan, Italy) mass spectrometer.

2.4. Sample Pretreatment

The salami samples delivered to our laboratory were immediately sliced and minced. In a portion of the fresh sample, treated as successively described, pH, moisture, conductivity, nitrite, and nitrate content were immediately determined, while all other analyses were performed on the fraction stored in freezer at −25°C. To measure pH, conductivity, nitrite, and nitrate, 10.0 g of fresh sample was kept in contact with 90.0 mL of ultrapure water in a stomacher bag and digested for 5.0 min at 270 rpm; then the extract was filtered on filter paper. For the determination of fat and iodine value, a sample of 10.0 g of thawed salami was put in an ASE (Accelerated Solvent Extraction) cell with 5.0 g of hydromatrix and extracted by petroleum ether performing 3 cycles of extraction of 10.0 min each, at 160.0°C.

For ash percentage and metal ion determinations, 5.0 g of sample was treated in muffle under a linear temperature gradient reaching 820.0°C in 1 h 20′. The analysis of volatile compounds was performed on 10.0 g of sample cut in very thin slices and weighted into a 20.0 mL headspace vial, sealed with polytetrafluoroethylene- (PTFE-) coated silicone rubber septum (20 mm diameter), where they were left for 60 min at 25°C. After each analysis the fibre was kept for 15 min at 280°C.

2.5. Methods
2.5.1. HPLC Determination of Nitrite and Nitrate

Nitrite and nitrate determination was performed on the stomacher aqueous extract filtered on a 0.22 μm PTFE filter (VWR International, Darmstadt, Germany) and diluted 1/10 v/v.

The mobile phase was an aqueous solution of octylamine 5.0 mM brought to pH 6.4 by o-phosphoric acid; the stationary phase was a Lichrospher C18e (250 × 4 mm, 5 μm) column with a Lichrospher RP-18 (5 μm) precolumn (Merck, Darmstadt, Germany). The mobile phase flow rate was 1.0 mL min−1, the injection volume was 100.0 μL, and wavelength of the UV detector was set at 205 nm.

2.5.2. HPLC Determination of Amino Acids and Biogenic Amines

The dansylation reaction of aminoacids and biogenic amines was performed on a solution obtained putting 10.0 g of sample in contact with 100.0 mL HCl 0.1 M in a stomacher bag and digested for 5.0 min at 270 rpm; the extract was centrifuged for 10.0 min at 8000 rpm (25000 ×g). 1200 μL of extract was put in contact with 1200 μL of NaHCO3 and 1200 μL of a dansyl chloride solution 0.02 M in acetone. The mixture was kept at dark for 40.0 min at 65°C and then centrifuged for 2.0 min at 10000 rpm and undergone to solid phase extraction (SPE). After conditioning the C18 SPE cartridge (50 mg of sorbent) (Phenomenex, Bologna, Italy) with 2.00 mL of methanol and 2.00 mL of a water/acetone 50/50 (v/v) mixture, 2.00 mL of the derivatized sample was loaded and a washing step was performed with 3.00 mL of Milli Q water. The cartridge was dried under nitrogen and the sample recovered in 2.00 mL of methanol. For the HPLC determination of biogenic amines and precursor aminoacids, a Lichrospher C18e (250 × 4 mm, 5 μm) column with a Lichrospher RP-18 (5 μm) precolumn (Merck, Darmstadt, Germany) was employed, while the mobile phase was a mixture of CH3COONH4 9.0 mM (at pH 3.40 for HCOOH) (41%) and acetonitrile (59%). The mobile phase flow rate was 1.0 mL min−1 and the UV detector set at 254 nm.

2.5.3. Water Content

Water content was determined by the comparison of the solid sample weights before (5.0 g) and after the oven treatment performed at 105.0°C for 2.5 h [15].

2.5.4. Saponification Value

The saponification value () was determined directly on 5.0 g of salami put in contact with 25.00 mL of 0.5 N ethanol solution of KOH in a flask equipped with a reflux condenser. The system was heated for 20 min and then the mixture was centrifuged for 5 min at 5000 rpm; the supernatant was titrated with HCl 0.5 N, phenolphthalein being the indicator.

The saponification value was calculated through the following equation: where is the volume (mL) of titrant used in the blank titration, is the volume (mL) obtained in the titration of the sample, and is the weight (5.0 g) of the sample.

2.5.5. Fat Content

The fat content was determined by weighting the residual of the ASE extract after complete solvent evaporation [16].

2.5.6. Iodine Value

The iodine value () was determined by adding 20.00 mL of CCl4 to the ASE extract. After agitation for 5 min, 25.00 mL of Wijs solution was added and the resulting mixture was kept at dark for 1 h; after addition of 20.00 mL of KI solution 10% w/v, the solution was titrated with Na2S2O3 0.1 N with starch solution as indicator. The iodine value is calculated as follows: where is the volume (mL) employed in the titration of the blank, is the volume (mL) employed in the titration of the sample, and is the weight (g) of sample [17].

2.5.7. Ash Content

The ash content was determined by weighting the muffle mineralised sample after 20 min of cooling at room temperature.

2.5.8. Protein Determination according to the Kjeldahl Method

1.0 g of the sample was placed in Kjeldahl flask and added with 20.0 g of K2SO4, 0.55 g of CuSO4, 0.75 g of Se, and 35.0 mL of H2SO4 18 M. The flask was heated in a mantle for one hour at the solution fuming temperature. Then 100.0 mL of ultrapure water and 250.0 mL of NaOH 20% (w/v) were added to the cooled solution and the resulting mixture was heated. The first 50 mL of the distilled fraction was recovered in a flask, containing 50.0 mL of HCl 0.1 N. The excess of HCl was titrated with NaOH 0.1 N, methyl red as the indicator. The % of nitrogen () was calculated as where are the equivalents of H+ consumed by the distilled basic fraction and is the weight (g) of the sample. Protein content was estimated by multiplying the Kjeldahl nitrogen content by 6.25 [18].

2.5.9. Determination of Volatile Compounds

The analysis of volatile compounds was performed on 10.00 g of sample cut in very thin slices and weighted into a 20.00 mL headspace vial, sealed with polytetrafluoroethylene- (PTFE-) coated silicone rubber septum (20 mm diameter), added with 1.00 mL of the internal standard 4-methyl-2-pentanone aqueous solution at the concentration of 2.00 μg mL−1. They were left for 60 min at 25°C. Headspace was extracted by SPME technique using a CAR/PDMS fibre, 75 μm film thickness (Supelco, Bellefonte, PA, USA). Fibres exposition time of 90 min at 25°C was adopted [19]. The fibre was then introduced into the injector of a gas chromatograph at 220°C and the sample injected by splitless mode for 8 minutes. The source and transfer line temperatures were set at 250°C and 230°C, respectively. After each analysis the fibre was kept for 15 min at 280°C. The GC system was equipped with a fused-silica capillary column (Rtx-WAX, 30 m × 0.25 mm i.d., film thickness 0.25 μm). Helium was used as carrier gas at 1 mL min−1 flow rate. The column temperature was held at 35°C for 8 min, increased from 35°C to 60°C at 4°C min−1, from 60°C to 160°C at 6°C min−1, and from 160°C to 200°C at 20°C min−1. The mass spectra were obtained by electron impact at 70 eV with the detector operating in scan mode (total ion current) from 35 to 350 a.m.u., with scanning velocity of 2.48 scan s−1. The identification of volatile compounds was carried out by comparing GC retention time and MS spectra with those of standard compounds. Nist 98 and Wiley 275 mass spectral libraries were used when standard compounds were unavailable. A series of -alkanes (C6–C22) was also determined under the same conditions to obtain linear retention index (LRI) values for the aroma components. Quantitative analyses of samples were carried out by using the internal standard procedure and expressed as ng IS equivalents.

2.5.10. Microbiological Analysis

The microbiological analyses were performed on 10.0 g of sample. Lactic acid bacteria (lactobacillus) counts were determined by the over-lay technique using MRS agar and colonies counted after incubation in anaerobic conditions after 72 h at 30°C; total count was performed on Tryptone Soya Agar after 72 h at 30°C; Micrococcaceae were determined on Mannitol Salt Agar after 24 h at 42°C. All bacteria counts were expressed as colony forming per gram of sample (CFU g−1).

2.6. Statistical Analysis

All statistical treatments, Principal Component Analysis (PCA), and graphical representations were carried out by Statistica version 7.1 (StatSoft Inc, USA) and Microsoft Excel (Microsoft Corporation, USA).

3. Results and Discussion

3.1. Physical-Chemical and Nonvolatile Fraction Analyses

While PDO protocols are already available for other Italian Salami, as Varzi, Brianza, and Piacentino salami [8] and UNI standard values are reported for Felino or Milano [6, 15, 16], this is not yet the case for the salami here considered. Taking into account that the samples investigated are produced at homemade level, in order to identify parameters suitable for the definition of PDO and PGI, a high number of variables have been evaluated. As reported above, the products considered are characterised by different ripening procedures: Salamini di Mandrogne are sold without ripening, Muletta after a six-month ripening period, and Filetto Baciato, Nobile del Giarolo, and Tipico Tortonese after ripening times that vary between two and three months. The analyses were performed at regular time intervals (one month) during the ripening period, ranging from the production time to the selling time for all products except for Salamini di Mandrogne, for which the analyses were performed only at the production-commercialisation time. Some considerations and comparison can be made among the data reported in Tables 1 and 2.

Proteinsa %pHCondmSH2O%Saponification numberMg KOH/gDMFat%Iodine numbergI2/100 g DMAsh%Nitritemg NaNO2 Kg−1Nitratemg NaNO3 Kg−1

MUA025.4 ± 0.65.5 ± 0.25.9 ± 0.357.4 ± 0.9180 ± 211.7 ± 0.792 ± 35.0 ± 0.161 ± 1139 ± 3
MUA613.6 ± 0.36.4 ± 0.27.7 ± 0.428.2 ± 0.4128 ± 319.1 ± 0.841 ± 27.2 ± 0.229 ± 124 ± 1
MUB023.9 ± 0.65.1 ± 0.25.8 ± 0.352.5 ± 0.8142 ± 215.2 ± 0.996 ± 34.8 ± 0.177 ± 1248 ± 5
MUB634.6 ± 0.95.6 ± 0.28.5 ± 0.528.3 ± 0.4143 ± 321.5 ± 0.335 ± 16.8 ± 0.2114 ± 257 ± 1
GIA029.9 ± 0.75.5 ± 0.26.9 ± 0.440.2 ± 0.6150 ± 214.9 ± 0.952 ± 24.6 ± 0.176 ± 149 ± 1
GIA413.0 ± 0.36.7 ± 0.28.5 ± 0.520.1 ± 0.3113 ± 327 ± 225 ± 15.6 ± 0.153 ± 172 ± 1
GIB028.6 ± 0.75.5 ± 0.26.7 ± 0.443.1 ± 0.6141 ± 213.7 ± 0.873 ± 34.7 ± 0.1106 ± 256 ± 1
GIB3132 ± 36.2 ± 0.27.4 ± 0.426.2 ± 0.4135 ± 325 ± 230 ± 15.7 ± 0.152 ± 147 ± 1
SAA022.6 ± 0.65.9 ± 0.24.7 ± 0.344.3 ± 0.779 ± 110.0 ± 0.6101 ± 43.4 ± 0.137 ± 1163 ± 3
SAA23.9 ± 0.15.3 ± 0.27.7 ± 0.429.9 ± 0.4150 ± 318.1 ± 0.840 ± 24.9 ± 0.1110 ± 249 ± 1
SAB09.4 ± 0.25.3 ± 0.26.8 ± 0.436.1 ± 0.592 ± 221.5 ± 0.842 ± 24.2 ± 0.176 ± 1110 ± 2
SAB233.6 ± 0.85.8 ± 0.28.9 ± 0.529.4 ± 0.4102 ± 217.4 ± 0.948 ± 26.9 ± 0.295 ± 242 ± 1
FIA09.5 ± 0.26.1 ± 0.24.7 ± 0.349.0 ± 0.7142 ± 26.3 ± 0.4163 ± 63.6 ± 0.142 ± 187 ± 2
FIA225.4 ± 0.65.7 ± 0.28.5 ± 0.540.5 ± 0.6107 ± 28.6 ± 0.5103 ± 46.5 ± 0.2108 ± 233 ± 1
FIB09.7 ± 0.25.8 ± 0.26.9 ± 0.451.9 ± 0.8130 ± 26.0 ± 0.4176 ± 63.6 ± 0.144 ± 152 ± 1
FIB217.1 ± 0.46.1 ± 0.210.1 ± 0.637.1 ± 0.6136 ± 212.8 ± 0.8103 ± 47.2 ± 0.281 ± 262 ± 1
SMA018.7 ± 0.55.9 ± 0.24.1 ± 0.252.1 ± 0.8148 ± 24.4 ± 0.3105 ± 33.0 ± 0.149 ± 1<LOD
SMB027.9 ± 0.75.8 ± 0.23.5 ± 0.254.5 ± 0.8150 ± 211.8 ± 0.788 ± 32.5 ± 0.130 ± 1<LOD
SMC04.4 ± 0.15.6 ± 0.23.5 ± 0.256.4 ± 0.9121 ± 19.4 ± 0.6130 ± 42.4 ± 0.135 ± 1<LOD
SMD07.3 ± 0.25.7 ± 0.23.6 ± 0.256.8 ± 0.9126 ± 15.1 ± 0.3104 ± 32.6 ± 0.139 ± 1<LOD
SME015.5 ± 0.45.8 ± 0.23.5 ± 0.253.8 ± 0.8126 ± 214.9 ± 0.981 ± 32.7 ± 0.141 ± 119 ± 1
SMF031.9 ± 0.85.7 ± 0.24.1 ± 0.246.2 ± 0.7137 ± 215.6 ± 0.966 ± 22.6 ± 0.143 ± 17 ± 1
SMG017.1 ± 0.45.6 ± 0.23.7 ± 0.245.8 ± 0.7138 ± 29.2 ± 0.6104 ± 42.4 ± 0.136 ± 13 ± 1
SMH019.6 ± 0.55.6 ± 0.23.5 ± 0.252.4 ± 0.8141 ± 27.7 ± 0.5118 ± 42.7 ± 0.138 ± 1<LOD
SMI019.8 ± 0.55.8 ± 0.23.7 ± 0.256.4 ± 0.9133 ± 110.4 ± 0.6104 ± 32.7 ± 0.140 ± 1<LOD

determined by Kjeldahl method. DM = dry matter; LOD NaNO3 = 0.10 mg L−1.

mg Kg−1
mg Kg−1
mg Kg−1
mg Kg−1
mg Kg−1
mg Kg−1
mg Kg−1
Total ABS
mg Kg−1

MUA0<LOD460 ± 1462 ± 2<LOD94 ± 3375 ± 12304 ± 9835
MUA6269 ± 8112 ± 368 ± 2<LOD204 ± 6406 ± 13192 ± 6870
MUB0506 ± 15351 ± 10<LOD<LOD<LOD<LOD146 ± 4146
MUB61103 ± 34888 ± 26<LOD<LOD30 ± 1208 ± 7280 ± 9519
GIA0485 ± 15207 ± 6<LOD<LOD59 ± 2236 ± 7128 ± 4423
GIA4649 ± 20213 ± 635 ± 1<LOD72 ± 2244 ± 8113 ± 3465
GIB0511 ± 15437 ± 1345 ± 1198 ± 4<LOD<LOD119 ± 4410
GIB3<LOD418 ± 1238 ± 1<LOD<LOD246 ± 895 ± 3133
SAA0129 ± 3127 ± 4<LOD<LOD<LOD252 ± 8<LOD252
SAA21602 ± 49397 ± 1251 ± 1<LOD<LOD257 ± 8134 ± 4443
SAB0431 ± 13313 ± 9<LOD179 ± 4<LOD<LOD<LOD
SAB2<LOD662 ± 2044 ± 1273 ± 6<LOD216 ± 7159 ± 5
FIA0130 ± 4147 ± 433 ± 1<LOD<LOD<LOQ43 ± 1273
FIA2595 ± 18322 ± 1043 ± 1<LOD<LOD197 ± 6118 ± 4160
FIB0139 ± 4158 ± 533 ± 1<LOD<LOD290 ± 9<LOD323
FIB2341 ± 10131 ± 443 ± 1<LOD35 ± 1214 ± 7112 ± 3405
SMA0138 ± 4149 ± 4<LOD<LOD<LOD<LOD<LOD
SMC0139 ± 4229 ± 7<LOD<LOD<LOD311 ± 10<LOD311
SMD0175 ± 5178 ± 5<LOD<LOD<LOD328 ± 11<LOD328
SME0180 ± 5181 ± 5<LOD<LOD<LOD<LOD<LOD
SMF0109 ± 4141 ± 4<LOD<LOD<LOD257 ± 8<LOD258
SMG061 ± 2126 ± 3<LOD<LOD<LOD<LOD<LOD
SMH090 ± 2146 ± 4<LOD<LOD<LOD<LOD<LOD
SMI0124 ± 4210 ± 6<LOD<LOD<LOD313 ± 10<LOD313

DM = dry matter; LOD lysine = 40 μg L−1, cadaverine = 52 μg L−1, histamine = 104 μg L−1, histidine = 159 μg L−1, tyramine = 62 μg L−1, and tryptamine = 45 μg L−1.

Water percentage (Table 1) varies from about 56% at the production time for Salamini di Mandrogne to about 20% at the end of ripening of Nobile del Giarolo samples. Weight loss during ripening varies from about 29% of MUA samples to about 7% of SAA samples: different variations can be ascribed to the ripening conditions, performed in a traditional cellar for Muletta and Nobile del Giarolo samples and in industrial climatic chambers for the other products. pH values at the production time are all lower than 6.0 and, in agreement with data found for other meat products [8] trend to increase during ripening. Likely due to an intense deaminase oxidative activity, induced in particular by moulds [8], pH values increase during ripening for MUA and GIB and in particular for GIA sample, probably due to the traditional room in which this product is ripened [9]. Table 1 also shows that the content of fat and proteins is similar, at the end of ripening, for nearly all samples, in agreement with literature data for typical north Italian salami [8, 9, 13], with the only exception of Filetto Baciato and Salamini di Mandrogne. The lower fat content for Filetto can be explained taking into account that this product is constituted by a central lean fillet of pork surrounded by a salami mixture. The iodine value largely varies within the different samples. The values at the selling time are generally lower than literature data for European salami [20] that, in turn, are lower than values obtained for products from other countries. Saponification number, providing a measure of chain length of fatty acids, ranges from 78 to 179 mg KOH g−1 and is consistent with average values for meat products [11]. Nitrite and nitrate contents (Table 1) must be compared with Italian law threshold concentration levels, reported in the D.M. 27/02/1996 n. 209, that considers two different levels. One indicates the maximum amount that can be added (150 mg Kg−1 for sodium nitrite and 300 mg Kg−1 for sodium nitrate) while the other gives the maximum residual content that can be present at the selling time and corresponds to 50 mg Kg−1 for sodium nitrite and to 250 mg Kg−1 for sodium nitrate. Regarding nitrite, its amount is always larger than 29 mg Kg−1 and for five samples (namely, MUB6, SAA2, SAB2, FIA2, and FIB2) they are above the law limit at the selling time: this is a quite common situation since nitrite slowly transforms into nitrate during ripening and these products are not supposed to be consumed fresh. Table 2 reports the amounts, corrected for moisture, obtained for cadaverine (CAD), histamine (HIS), histidine (HISTID), tyramine (TYR), tryptamine (TRYP), tyrosine (TYROS), and lysine (LYS). Both the total amount of BAs and the HIS/HISTID concentration ratio increase during ripening. At the selling time, tyramine is present in all samples at concentrations ranging from 95 to 280 mg Kg−1. Anyway the total BAs amount is always lower than the level (1000 mg Kg−1) reported as dangerous for human health [21], where 870 mg Kg−1 is the maximum amount obtained at the selling time. However, a univocal toxic level is difficult to define since individual sensitivity can be very different and can also be related to the specific biogenic amine considered. Regarding the content of BAs in fresh products (production time), the samples generally show content unexpectedly high of histamine and tyramine [1, 22].

Salamini di Mandrogne do not contain tyramine, cadaverine, and tryptamine but the samples SMC, SMD, SMF, and SMI show concentrations of histamine of about 300 mg Kg−1.

3.2. Microbiological Analyses

The results of microbiological analyses are presented in Figures 1 and 2, in which lactic acid bacteria and Micrococcaceae are reported as a function of ripening time. The results showed that the raw mixtures () were characterised by good hygienic conditions and suitable presence of lactic acid bacteria and Micrococcaceae that assists a correct fermentation process.

The microbiological trend is similar for all products. The counts of acid lactic bacteria and Micrococcaceae generally showed a maximum at one month of ripening () for all the samples and then decreased until the end of ripening. The only exception is represented by Muletta that showed the highest counts of lactic acid bacteria and Micrococcaceae at , probably due to its large size, that can affect the growth of lactobacilli and Micrococcaceae. Also the amount of volatile compounds showed a similar trend, likely due to the formation of metabolites (e.g., esters, alcohols, and ketones) produced during the fermentation process. Salamini of Mandrogne (fresh sausages) showed a mean value of  u.f.c. g−1 for acid lactic bacteria.

3.3. Volatile Compounds Analysis

About 70 volatile substances including terpenes, esters, ketones, alcohols, aldehydes, and sulphur compounds were searched and determined in all samples (Tables 3, 4, 5, and 6).

RTaLRIbCompoundsOrigincMethod of identificationg

5.55755-PineneS111.03507.39345.671143.0638.406145.03140.64267.7131.99309.08MS + LRI
5.84766-ThujeneS0.00221.220.0046.920. + LRI
8.81884-PineneS263.65710.08453.301855.7030.6011530.05281.01365.6448.46536.68MS + LRI
9.79923SabineneS0.00744.650.00419.570.000.000.0094.55194.56177.45MS + LRI
11.209793-CareneS205.30867.22331.352051.75195.8718524.57454.80837.2234.51374.29MS + LRI
12.051013-phellandreneS4.1826.480. + LRI
12.511031-MirceneS3.6241.428.3635.859.42550.2824.5531.8529.40257.49MS + LRI
12.791042-TerpineneS0.0016.930. + LRI
13.691078LimoneneS53.44305.8190.11366.5860.463769.7675.89163.02131.851321.38MS + LRI
14.871125-PhellandreneS0.0079.650.0042.94831.08669. + LRI
16.511190-TerpineneS0.0026.580. + LRI
16.611194CymeneS0.0046.710.0012.28338.55243.820.0041.0614.020.25MS + LRI
25.131533trans--CaryophylleneS24.02129.9622.12307.5813.941413.1953.32278.6741.621507.61MS + LRI
27.181614HumuleneS0.000.580. + LRI
1.77604Acetaldehyde0.0069.070.0084.100.00806. + LRI
8.18859HexanalLO33.0050.300.00157.220.0020.310.0049.160.000.00MS + LRI
18.6912772-Heptenal0.001.480. + LRI
20.501349NonanalLO0. + LRI
23.951486BenzaldehydeAC0.005.760.008.951044.190.000.00123.440.0017.42MS + LRI
25.861562BenzenacetaldehydeAC0. + LRI
2.126182-PropanoneMI0.00406.9333.6291.690.00505.840.0051.340.0011.97MS + LRI
2.916502-ButanoneF0.001623.420. + LRI
5.257432,3-ButanedioneF0.00142.330. + LRI
13.9710892-HexanoneMI0. 0.00MS + LRI
14.0110912-HeptanoneLO0.003.680. + LRI
16.2711813-OctanoneMI0. + LRI
16.9812093-Hydroxy-2-butanoneF59.371966.78827.331172.706.852038.927.29223.420.0015.51MS + LRI
18.9112866-Methyl-5-hepten-2-oneMI0. + LRI
20.9213652-NonanoneLO0. + LRI
3.49673EthanolF7522.256370.7711973.6347046.29648.81101837.442241.973420.26320.2311467.61MS + LRI
5.977712-ButanolF0.002987.55248.582729.310.00234404.240.003594.770.0072.96MS + LRI
7.228211-PropanolLO0.00205.73211.15441. + LRI
10.99672-Methyl-1-propanolAC107.10442.9456.05897.7419.462616.3453.7472.370.0097.35MS + LRI
11.659972-Pentanol0.0034.6322.17205.840.0019.920.0033.600.00176.61MS + LRI
12.6910381-Butanol0.0020.650.0013.530.00654.850.0040.620.000.00MS + LRI
14.7511203-Methyl-1-butanolAC599.713086.67384.914016.5059.3520241.68211.95328.1228.171468.75MS + LRI
16.8712043-Methyl-3-buten-1-ol0.006.046.7540.250.003.940. + LRI
16.9612081-Pentanol0.0033.8415.22180. + LRI
18.5312703-Methyl-2-buten-1-ol0.005.960. + LRI
19.2412992-Heptanol0.001.480. + LRI
19.5313101-Hexanol0.0077.840.00406.923.13449.850.002.292.8860.97MS + LRI
22.0414101-Octen-3-olLO0. + LRI
31.051768BenzenethanolMI0.0019.6324.6245.640.000.460.0064.400.0026.74MS + LRI
Free fatty acids
21.611393Acetic acid2550.582928.982788.5024333.05562.2852236.16952.942049.15100.559039.94MS + LRI
23.521469Formic acid0. + LRI
23.711476Propanoic acid0.00133.16143.091486.9238.262954.7154.40141.125.99716.58MS + LRI
24.9915272-Methyl-propanoic acid0.0019.3430.73475.177.06817.8611.2221.070.0021.63MS + LRI
26.221576Butanoic acid74.75122.9468.00774.7637.872360.2627.9779.151.81232.99MS + LRI
27.0916113-Methyl butanoic acid36.16400.9351.91893.1719.401413.9715.8232.271.5957.79MS + LRI
27.3816222-Methyl-2-propenoic acid0. + LRI
28.381662Pentanoic acid0.002.672.6511.271.9875.100.962.580.0047.65MS + LRI
29.801718Hexanoic acid0.002.194.9632.2812.01162.802.9510.010.699.63MS + LRI
1.51500PentaneLO0.00280.4075.812368.7085.92553.2280.65295.702.40161.09MS + LRI
6.08776TolueneMI0.000.000.0057.660. + LRI
3.08656Acetic acid ethyl esterME1261.407371.93926.449092.92586.2116420.94566.781836.030.006755.62MS + LRI
7.56834Butanoic acid ethyl esterME3.5932.670. + LRI
19.71317Propanoic acid ethyl esterME0.0076.400.00167.250.0015.520.0000.000.00MS + LRI
20.0413302-Hydroxy propanoic acid ethyl esterME0.0038.2653.30164.140.00492.763.8017.860.0028.04Ms
30.391742Hexanoic acid ethyl esterME0.003.680. + LRI
Sulfur compounds
2.86648Sulfur oxideS0. + LRI
3.80685Allyl methyl sulfideS482.666499.78296.741764.14115.6411593.25835.35836.38133.512404.39MS + LRI
23.121453Sulfur compoundS0.
27.981646Sulfur compoundS0.565.752.1210.
28.31659Diallyl sulfoneS0.0013.520.0018.180.00744.680. + LRI
40.762154DecanethiolS0.0011. + LRI
26.0415692(3H)-Furanone, dihydroLO7.1210.929.6848.622.49139.582.734.790.4655.14MS + LRI

Retention time of volatile compounds. Kovats index calculated for RTX-WAX capillary column (Castello, 1999) [14]. Origin: F (carbohydrate fermentation); AC (amino acid catabolism); LO (lipid oxidation); ME (microbial esterification); S (spices and condiments); MI (miscellaneous: contaminants, unknown). dRipening time according to experimental plan. eMinimum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). fMaximum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). gMS + LRI, mass spectrum, and LRI agree with those of authentic compounds; ms + lri, mass spectrum, and LRI in agreement with the literature; mass spectrum agrees with spectrum in the NIST library Mass Spectral Database.

RTaLRIbCompoundsOrigincMethod of identificationg

5.55755-PineneS20.6525.6936.63791.650.0095.20MS + LRI
8.81884-PineneS25.9972.450.0050.48138.031384.00MS + LRI
9.79923SabineneS0.0051.027.84735.9419.921316.24MS + LRI
11.209793-CareneS0.0098.43292.322246.35771.733978.16MS + LRI
12.051013-PhellandreneS0.001.8920.21177.4654.41316.97MS + LRI
12.511031-MirceneS0.003.7514.98146.0239.23258.11MS + LRI
13.691078LimoneneS20.1022.28108.441178.92282.312082.59MS + LRI
16.511190-TerpineneS0.000.000.0039.940.0070.46MS + LRI
16.741199CymeneS0.000.0011.68182.2430.73318.32MS + LRI
20.841362FenchoneS0. + LRI
22.261419CopaeneS0.000.000.675.721.509.99MS + LRI
23.311460CanphorS0.000.000.0032.780.0056.49MS + LRI
25.131533trans--CaryophylleneS0.0010.3749.71826.57118.471391.62MS + LRI
26.751597HumuleneS0.000.001.2811.083.0019.82MS + LRI
20.501349NonanalLO0.000.004.5626.2410.8445.64MS + LRI
25.861562 BenzenacetaldehydeAC0.000.0013.2968.5732.60122.71MS + LRI
2.126182-PropanoneMI0.000.0097.39493.34256.34835.77MS + LRI
2.916502-ButanoneF0.000.00106.311387.93267.352484.82MS + LRI
16.9812093-Hydroxy-2-butanoneF0.0019.530.001365.820.002418.43MS + LRI
20.9213652-NonanoneLO0.000.000.0010.240.0017.85MS + LRI
3.49673EthanolF0.001048.40122.716118.70306.4910849.91MS + LRI
5.977712-ButanolF0.000.0025.67459.5974.57831.53MS + LRI
10.99672-Methyl-1-propanolAC0.0028.740. + LRI
14.7511203-Methyl-1-butanolAC0.00123.6914.11154.4338.10271.58MS + LRI
16.8712043-Methyl-3-buten-1-olAC0.000.000.0029.600.0051.69MS + LRI
16.3611841-PentanolLO0.000.001.0317.052.8030.05MS + LRI
18.6812763-Methyl-2-buten-1-olAC0.000.000.4454.841.1196.30MS + LRI
19.5313101-HexanolLO0.000.002.6215.716.5927.39MS + LRI
22.0414101-Octen-3-olLO0.000.001.8510.274.7517.81MS + LRI
23.0914522-Ethyl-1-hexanolMI0.000.000.0039.980.0068.54MS + LRI
23.991487AlcoholME0.000.000.0080.670.00144.95MS + LRI
31.051768BenzenethanolMI0.000.000.0010.540.0018.48MS + LRI
Free fatty acids
21.611393Acetic acid88.19144.3130.182017.3667.933533.31MS + LRI
23.711476Propanoic acid0.001.900.0031.710.0055.38MS + LRI
24.9915272-Methyl-propanoic acid0.001.040.0046.840.0082.87MS + LRI
26.221576Butanoic acid5.5124.770.00162.430.00283.71MS + LRI
27.0916113-Methyl butanoic acid1.401.680.0081.990.00144.55MS + LRI
28.341660Pentanoic acid0.000.510. + LRI
29.801718Hexanoic acid0.712.860.0016.990.0030.28MS + LRI
3.08656Acetic acid ethyl esterME75.96138.530. + LRI
Sulfur compounds
3.80685Allyl methyl sulfideS0.0080.7724.341554.5872.002742.01MS + LRI
17.041211DithiopentaneS0.000.005.0562.3113.03107.33MS + LRI
22.591432Sulfur compoundS0.000.000.0061.810.00106.95ms
28.31659Diallyl sulfoneS0.000.720.0035.920.0062.22MS + LRI
Nitrogen compounds
28.621671Nitrogen compoundMI0.000.000.0090.890.00156.80ms
26.0415692(3H)-Furanone, dihydroLO0. + LRI

Retention time of volatile compounds.  Kovats index calculated for RTX-WAX capillary column (Castello, 1999) [14]. Origin: F (carbohydrate fermentation); AC (amino acid catabolism); LO (lipid oxidation); ME (microbial esterification); S (spices and condiments); MI (miscellaneous: contaminants, unknown). dRipening time according to experimental plan. eMinimum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). fMaximum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). gMS + LRI, mass spectrum, and LRI agree with those of authentic compounds; ms + lri, mass spectrum, and LRI in agreement with the literature; mass spectrum agrees with spectrum in the NIST library Mass Spectral Database.

RTaLRIbCompoundsOrigincMethod of identificationg

5.55755-PineneS0.00286.010.002367.21210.311081.54210.31655.960.006752.46MS + LRI
5.84766-ThujeneS0. + LRI
8.81884-PineneS5.13448.1315.924000.17200.933171.51628.941020.190.002029.65MS + LRI
9.79923SabineneS0. + LRI
11.209793-CareneS0.004062.381686.41141.61655.80955.021035.262165.810.009440.59MS + LRI
12.051013-PhellandreneS0.00996.05157.8990.4430.9242.8345.3997.000.00574.63MS + LRI
12.511031-MirceneS0.00760.7485.424.0027.7336.2839.5186.710.00587.80MS + LRI
12.791042-TerpineneS0.0024.510. + LRI
13.691078LimoneneS0.004667.836.57897.05200.33629.05511.25636.400.005448.64MS + LRI
16.611194p-CymeneS0.00636. + LRI
25.131533trans--CaryophylleneS0.3535.631.764.500.0014.090.0046.610.0039.47MS + LRI
25.261538TerpineolS0. + LRI
8.18859HexanalLO0.006.7829.93104.6912.5772.8617.2540.930.00128.46MS + LRI
20.501349NonanalLO0. + LRI
23.271459BenzaldehydeAC1.1379.314.4995.1758.98277.600.00130.980.00431.17MS + LRI
25.861562BenzenacetaldehydeAC0.00677.860.00117.940.001103.61192.62197.080.00990.64MS + LRI
2.126182-PropanoneMI35.77260.9123.674254.54317.143168.90181.121003.980.00939.69MS + LRI
2.916502-ButanoneF0.001035.380.0024868.690.0043993.890.003561.240.006257.35MS + LRI
4.777242-PentanoneLO0.000.000.0063. + LRI
14.0110912-HeptanoneLO0.0063.110.0013.650.0010.020.0033.220.000.00MS + LRI
16.2711813-OctanoneLO0.0028.280.002.953.2215.183.7710.960.0033.42MS + LRI
16.9812093-Hydroxy-2-butanoneF4.24571.190.00653.9911.871428.9137.8151.110.00180.04MS + LRI
18.9112866-Methyl-5-hepten-2-oneMI0. + LRI
20.9213652-NonanoneLO0.00177.820.003.390.0032.670. + LRI
24.515084-Hydroxy-2-butanoneMI0.000.000.0076.680.000.000.0017.580.000.00MS + LRI
3.49673EthanolF176.042617.49492.295961.661738.356176.15988.745503.440.003687.51MS + LRI
5.977712-ButanolF0.000.000.00279.150.00956.620.005015.190.00723.36MS + LRI
7.228211-PropanolLO0.000.000.00202.900.00381.670.00184.940.000.00MS + LRI
10.99672-Methyl-1-propanolAC0.0011.0828.8449.330.0011.230.0035.750.000.0MS + LRI
14.7511203-Methyl-1-butanolAC0.000.000.00329.0636.95269.77159.35861.510.00325.12MS + LRI
16.8712043-Methyl-3-buten-1-olAC0.000.0020.4985.840.002.620.008.450.000.00MS + LRI
16.9612081-PentanolLO0.001.920.0011.150.0010.410.0033.480.0026.42MS + LRI
18.5312703-Methyl-2-buten-1-olAC0.000.000.0019.870. + LRI
19.4213062,3-ButanediolME0. + LRI
19.5313101-HexanolLO0.0075.080.006.320.0035.960.00116.950.0017.63MS + LRI
22.0414101-Octen-3-olLO1.19190.825.277.070.0028.420.0092.390.0062.06MS + LRI
31.051768BenzenethanolMI0.0053.820.006.820.0014.920.0048.690.0048.21MS + LRI
Free fatty acids
21.611393Acetic acid249.63870.62303.0922463.671025.566761.99765.923197.540.002707.34MS + LRI
23.711476Propanoic acid2.7611.212.2772.1513.54119.9937.2344.710.0031.52MS + LRI
24.9915272-Methyl-propanoic acid0.001.891.1935.262.7426.574.868.530.000.00MS + LRI
26.221576Butanoic acid12.5658.3417.23181.3333.22111.9119.09103.770.000.00MS + LRI
27.0916113-Methyl butanoic acid2.5430.872.47111.757.4279.4211.9723.150.000.00MS + LRI
28.381662Pentanoic acid0.000.240.636.740.004.911.710.730.000.00MS + LRI
29.801718Hexanoic acid1.1340.162.5619.925.1120.516.5816.210.0012.55MS + LRI
32.751836Octanoic acid0. + LRI
1.51500PentaneLO0.0020.140.0018.2127.321177.390.0085.370.000.00MS + LRI
1.66600HexaneLO0.0020151.830. + LRI
6.08776TolueneMI0.004.26 0.000.00312.75763.960.002513.080.002127.98MS + LRI
11.61995o-XyleneMI0.0033.560.000.001.4245. + LRI
12.041013p-XyleneMI0.6565.850. + LRI
2.56636Acetic acid methyl esterME0.00604.400. + LRI
3.08656Acetic acid ethyl esterME25.15728.9728.47167.9157.0569.9375.03231.110.000.00MS + LRI
Sulfur compounds
1.95612Carbon disulfideS1.3434. + LRI
3.80685Allyl methyl sulfideS20.81590.280.0026.370.00290.230.00942.490.001098.17MS + LRI
5.34746Sulfur compoundS0.
27.851641Dimethyl disulfideS0.0021.560. + LRI
Nitrogen compounds
18.4512672,6-Dimethyl pirazinMI0. + LRI
28.121652AcetamideMI0. + LRI
26.0315692(3H)-Furanone, dihydroLO0.000.541.0521.889.0721.004.8528.520.000.00MS + LRI
27.991646Dimetoxy benzeneMI0.0054.880.000.001.777.390.005.810.009.05MS + LRI

Retention time of volatile compounds. Kovats index calculated for RTX-WAX capillary column (Castello, 1999) [14]. Origin: F (carbohydrate fermentation); AC (amino acid catabolism); LO (lipid oxidation); ME (microbial esterification); S (spices and condiments); MI (miscellaneous: contaminants, unknown). dRipening time according to experimental plan. eMinimum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). fMaximum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). gMS + LRI, mass spectrum, and LRI agree with those of authentic compounds; ms + lri, mass spectrum, and LRI in agreement with the literature; mass spectrum agrees with spectrum in the NIST library Mass Spectral Database.

RTaLRIbCompoundsOrigincMethod of identificationg

6.14755-PineneS0.00675.10MS + LRI
9.75884-PineneS31.351636.87MS + LRI
12.179793-CareneS0.00204.03MS + LRI
12.981013-PhellandreneS0.007.32MS + LRI
13.451031-MyrceneS0.0055.99MS + LRI
14.561078LimoneneS35.00722.61MS + LRI
14.871125EucalyptolS0.0078.98MS + LRI
16.511190-TerpineneS0.0036.01MS + LRI
23.731477CanphorS0.005.45MS + LRI
24.741517LinaloolS5.9226.52MS + LRI
25.701533trans--CaryophylleneS14.58219.65MS + LRI
27.171614HumuleneS0.007.98MS + LRI
27.701635TerpenS0.001.16MS + LRI
34.201893EugenolS0.004.09MS + LRI
4.927432,3-ButanedioneF0.00446.48MS + LRI
14.0410922-OctanoneLO0.001.70MS + LRI
17.7812093-Hydroxy-2-butanoneF579.3852656.86MS + LRI
3.85673EthanolF110.2415032.00MS + LRI
10.249672-Methyl-1-propanol0.00325.00MS + LRI
11.549931-Methoxy-2-propanol0.0039.18MS + LRI
12.6810381-ButanolF0.0035.03MS + LRI
15.4911203-Methyl-1-butanolAC0.004116.36MS + LRI
17.0012081-PentanolLO0.00140.41MS + LRI
20.1113101-HexanolLO0.00201.62MS + LRI
22.5814311-Octen-3-olLO4.63115.49MS + LRI
Free fatty acids
22.271393Acetic acid131.03626.36MS + LRI
23.531469Formic acid0.001.20MS + LRI
24.311476Propanoic acid0.0014.52MS + LRI
25.0015272-Methyl-propanoic acid0.0012.57MS + LRI
26.221576Butanoic acid72.008.86MS + LRI
27.0816113-Methyl-butanoic acid7.1237.29MS + LRI
28.391662Pentanoic acid0.0011.77MS + LRI
30.381718Hexanoic acid4.0030.96MS + LRI
Sulfur compounds
4.24685Allyl methyl sulfideS0.00947.78MS + LRI
7.37827Mercapto acetoneS0.0022.06MS + LRI
16.181177Sulfur compoundS0.0041.57Ms
23.121453Diallyl disulfideS7.7825.93MS + LRI
28.301659Sulfur compoundS0.007.04Ms
29.431704Sulfur compoundS0.000.60Ms
26.0415692(3H)-Furanone, dihydroLO1.6118.29MS + LRI

Retention time of volatile compounds. Kovats index calculated for RTX-WAX capillary column (Castello, 1999) [14]. Origin: F (carbohydrate fermentation); AC (amino acid catabolism); LO (lipid oxidation); ME (microbial esterification); S (spices and condiments); MI (miscellaneous: contaminants, unknown). dRipening time according to experimental plan. eMinimum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). fMaximum extracted quantities (ng 4-methyl-2-pentanone equivalents g salami−1). Value 0 means that trace amounts were detected (<0.1 ng g−1). gMS + LRI, mass spectrum, and LRI agree with those of authentic compounds; ms + lri, mass spectrum, and LRI in agreement with the literature; mass spectrum agrees with spectrum in the NIST library Mass Spectral Database.

The compounds were identified using both chromatographic (Kovats indices) and spectrometric (mass spectra, EI, 70 eV) criteria. Kovats indices were calculated for each chromatographic peak and compared with those stored in a proprietary database including about 250 volatile compounds usually found in food matrices [9, 14, 23, 24]. Determination of the volatile constituents was carried out by spiking the salami, before the extraction, with 4-methyl-2-pentanone (2.0 μg mL−1), used as the internal standard since preliminary results indicated its absence in all the samples. The lowest content of volatile species was found in Filetto Baciato: the result is likely due to its composition, constituted by a central lean fillet of pork inside the salami texture. In all products the largest group of volatiles was represented by terpenes, where α-pinene, β-pinene, sabinene, limonene, and β-caryophyllene are the most abundant. Terpenes can derive from animal feedstuffs and mainly from the spices as black pepper, nutmeg, and clove added during production. In particular nutmeg contains α-pinene, β-pinene, sabinene, and limonene and clove β-caryophyllene [7, 25]. The maximum terpene compounds concentration was observed at the end of the ripening period in Nobile del Giarolo and Filetto Baciato, while in Muletta it was reached at about 4 months of ripening () [26, 27]. Four sulphur containing compounds were identified and quantified in Filetto Baciato and Nobile del Giarolo and six compounds in Muletta, the most abundant being allyl methyl sulphide. Sulphur compounds mainly derive from garlic and represent important aroma compounds, since they are characterised by very low sensory thresholds [28]. The amounts of sulphur containing species increased during the ripening, except for Muletta that showed a decreasing trend after the of ripening. Many ketones and alcohols were found to be present. The most abundant ketones were 2-butanone, 3-hydroxy-2-butanone (acetoin), and 2-propanone; their concentrations increased reaching a maximum at the end of ripening except in Muletta where the amount increases until and then decreases.

The most abundant alcohols isolated were ethanol, 2-butanol, 3-methyl-1-butanol, 1-propanol, and 1-octen-3-ol, which in particular is produced during lipid oxidation and is recognised for a characteristic mushroom note and a very low sensory threshold [4].

High amounts of ethanol were found in all products, likely arising from the wine added during preparation. Also 3-methyl-1-butanol was found in all the products, likely formed through the reduction reaction of the corresponding aldehyde [3, 19, 29].

Several ethyl esters were isolated in particular in Muletta. Since esters can be formed in a complex chain of reactions such as alcohol-aldehyde-acid-ester, ethyl esters are usually present in fermented meat products and contribute to the fruity note of the flavour [6, 20, 30, 31]. The long ripening time undergone by Muletta likely favoured therefore their formation. Aldehydes were identified and quantified in Filetto Baciato, Muletta, and Nobile del Giarolo. The total aldehyde content increased during ripening, especially in Filetto Baciato and Nobile del Giarolo, while showing a maximum at for Muletta. Many aldehydes are products of lipid oxidation. In particular hexanal, which is produced during the oxidation of n-6 unsaturated fatty acids, imparts a green odour and is considered a good indicator of oxidation [30]. The low amount of hexanal found in all the salami could likely be attributed to the antioxidative activity of terpenes of spices found at higher concentration levels in all the products. All the products contain benzenacetaldehyde that is considered one of the substances giving a specific flavour note to pork meat and can form from phenylalanine. Among free fatty acids the most abundant compounds identified in all the salami were acetic acid, butanoic acid, 2-methyl propanoic acid, and 3-methyl butanoic acid. The total amount of fatty acids increased during the ripening in Nobile del Giarolo and Filetto Baciato, while reaching a maximum at in Muletta. As regards such salami therefore we can conclude that a decrease of several volatile compounds occurred in the last ripening period, probably due to the natural loss from the matrix surface.

44 volatile compounds were identified and quantified in Salamini di Mandrogne. As mentioned before, a different behaviour characterizes Salamini di Mandrogne, which are sold just after production. The most abundant compounds were ketones, alcohols, terpenes, sulphur compounds, free fatty acids, and lactones. High concentrations of volatile species formed in carbohydrate fermentation were found, especially acetic acid, 2,3-butanedione (diacetyl), and 3-hydroxy-2-butanone (acetoin). The result can be related to the high content of Lactobacillus. 3-Methyl-1-butanol (likely formed by reduction of the corresponding aldehydes) and ethanol were the most abundant alcohols found in Salamini di Mandrogne. Some sulfur-containing compounds were also identified, the most abundant being allyl methyl sulphide, while the most abundant terpenes were δ-3-carene and β-caryophyllene, which probably derive from black pepper, cloves, and nutmeg used in the preparation [3236].

3.4. Multivariate Analysis

Data were arranged in a 42 × 240 matrix (42 being the samples at different ripening times and 240 the variables). All variables expressed as concentrations and percentages were corrected for the amount of water present in each sample.

PCA on the Overall Dataset. PCA was performed on the overall dataset (42 × 248) after autoscaling and elimination of sample MUA4, resulting to be an outlier from a first analysis. The first two PCs explain about 22% of the overall variance, indicating a low correlated and redundant data structure.

Figure 3(a) represents the score plot of the first two PCs; three main groups of samples can be identified:group 1: constituted by almost all samples belonging to Muletta type;group 2: constituted by almost all samples belonging to Salamini di Mandrogne type;group 3: constituted by almost all other samples.The samples appear separated according to the type of product. The two most different groups are those characterised by the most different maximum ripening times: Salamini di Mandrogne (sold fresh, group 2) and Muletta (six-month ripening, group 1). Moreover, Salamini di Mandrogne are produced with veal meat and are well separated from those produced with pork meat.

No trend as a function of ripening time can be observed.

PCA at the Selling Stage. A further PCA was then performed on the data collected at the selling stage, with the aim to further investigate the differences between the samples at the time when they are consumed. PCA was performed, after autoscaling, on the 17 × 214 matrix that contains all products, including Salamini di Mandrogne. Some variables showing a null variance for this subset of samples were eliminated from the dataset. The first two PCs (29% total variance) were considered significant and again indicate a low correlated data structure.

In the corresponding score plot (Figure 3(b)), Salamini di Mandrogne are grouped at positive scores along PC1, while the other samples lay at negative values. PC1 seems mostly related to the ripening period that the samples undergo until selling, since the fresh products are at positive scores, while the most ripened ones are located at large negative scores along the first PC. This last group can be further divided in two groups according to the positive or negative score on PC2. PC2 is therefore able to separate Nobile del Giarolo (negative scores on PC2) from the other samples that came all from a zone of the Alessandria province around Tortona (positive scores on the same PC). The analysis of the corresponding loadings allowed the identification of the main differences between the groups identified. Salamini di Mandrogne are characterised, as expected, by large values of moisture. Moreover, they are characterised by a small aroma of pepper (α-phellandrene, δ limonene, α-pinene, and β-myrcene) and garlic (diallyl disulphide), a low content of spices (3-carene, sabinene), small amounts of biogenic amines, and a low oxidation of unsaturated fatty acids (hexanal). The other samples are characterised by an opposite behaviour, showing a larger contribution of variables related to aroma. These samples, however, are separated in two groups along PC2: Nobile del Giarolo is characterised by a larger amount of spices (β-myrcene, p-cymene) and pepper (α-pinene, α-phellandrene, sabinene) and a higher carbohydrate fermentation (2 butanol, 2-butanone) [7, 12]. The samples from the Tortona area instead (positive scores on PC2) are characterised by a larger content of fats and tyramine. The analysis therefore points out the existence of three main groups of samples: their differences are mainly related to the ripening period they undergo (accounted for by PC1) and to the ingredients used (different aromas and starting meat mixture). A further Cluster Analysis was applied on this dataset: Figure 4 represents the dendrogram obtained by the Ward method (Euclidean distances) applied to the dataset after autoscaling. The dendrogram reports the samples on the -axis; two main groups can be detected: the first one (group A) consists of the samples showing the largest negative scores along PC1. The other group can be divided in two subgroups (groups B1 and B2): group B1 contains all Salamini di Mandrogne samples that showed the largest positive scores on PC1; group B2 instead is constituted by the other samples, showing intermediate scores along the first PC. Cluster Analysis therefore confirms the results obtained by PCA, showing that the most important information regards changes in the chemical composition that can be ascribed to ripening.

4. Conclusions

This study is focused on the characterisation of typical salami products of the Alessandria province territory (North West of Italy). Seventeen small or medium salami producers from this area were involved in the study and provided six types of typical salami. Samples were characterised for what regards the aroma component and nutritional feature with a double aim: obtaining a screening of the characteristics of different products and following their evolution along with ripening.

The overall results obtained point out that the products investigated do not deviate from analogous European products. The attention was then focussed on the production and selling times to provide a characterisation of the samples at the moment when they are prepared and finally sold. The analysis was carried out with the help of multivariate statistical tools, as Principal Component Analysis and Cluster Analysis. The results show the existence of three main groups of samples: Salamini di Mandrogne, Muletta, and Nobile del Giarolo. Among them, Salamini di Mandrogne certainly appear as quite different products since they are sold fresh and present a particular recipe constituted mainly from veal meat: these features is reflected in a low content of biogenic amines, a low carbohydrate fermentation, and a low content of aroma components related to spices. The other two products are commercialised after a ripening period of four months for Nobile del Giarolo and of six months for Muletta. These two products can be differentiated mainly regarding carbohydrate fermentation and aroma component related to spices (larger in Nobile del Giarolo) and fats and content of tyramine (larger in Muletta). Some considerations can also be drawn with respect to the nutritional characterization of the samples observing BA content, as their profile can be related to a good or bad ripening working out, according to which BA is predominant. Tyramine is usually the dominant amine in salami and is considered an index of correct ripening working out: in the investigated samples, its values are in agreement with other traditional Italian [34] and European fermented sausages [1], even if it is not always the dominant amine: for many samples histamine is the most abundant one with concentration ranges larger than the law limit (100 mg Kg−1). In conclusion results obtained by this study confirm that the determination of various typologies of parameters (volatile compounds, amino acids, chemical and microbiological parameters, and biogenic amine) may be important to assess the quality of raw and final products in terms of optimal condition of production and preservation of typical meat products during their shelf-life. The entire approach could provide a basis for a possible PDO or PGI label assignment.

Conflict of Interests

The authors declare that they have no conflict of interests.


The authors gratefully acknowledge the financial support by Fondazione Cassa di Risparmio di Alessandria (Italy) and the cooperation and the assistance of the veterinaries of the ASL AL (Alessandria, Italy).


  1. M. L. Latorre-Moratalla, T. Veciana-Nogués, S. Bover-Cid et al., “Biogenic amines in traditional fermented sausages produced in selected European countries,” Food Chemistry, vol. 107, no. 2, pp. 912–921, 2008. View at: Publisher Site | Google Scholar
  2. M. Sidira, M. Kanellaki, and Y. Kourkoutas, “Profile of aroma-related volatile compounds isolated from probiotic dry-fermented sausages produced with free or immobilized L. Casei using SPME GC/MS analysis,” in Nutrition, Functional and Sensory Properties of Foods, 2013. View at: Publisher Site | Google Scholar
  3. R. M. L. de Campos, E. Hierro, J. A. Ordóñez, and L. de la Hoz, “Fatty acid and volatile compound composition of Italian and Brazilian Milano salami,” Sciences des Aliments, vol. 27, no. 3, pp. 234–244, 2007. View at: Publisher Site | Google Scholar
  4. M. Flores and D. Hernández, “Optimization of multiple headspace solid-phase microextraction for the quantification of volatile compounds in dry fermented sausages,” Journal of Agricultural and Food Chemistry, vol. 55, no. 21, pp. 8688–8695, 2007. View at: Publisher Site | Google Scholar
  5. A. Marco, J. L. Navarro, and M. Flores, “Quantitation of selected odor-active constituents in dry fermented sausages prepared with different curing salts,” Journal of Agricultural and Food Chemistry, vol. 55, no. 8, pp. 3058–3065, 2007. View at: Publisher Site | Google Scholar
  6. A. Meynier, E. Novelli, R. Chizzolini, E. Zanardi, and G. Gandemer, “Volatile compounds of commercial Milano salami,” Meat Science, vol. 51, no. 2, pp. 175–183, 1999. View at: Publisher Site | Google Scholar
  7. L. O. Sunesen, V. Dorigoni, E. Zanardi, and L. Stahnke, “Volatile compounds released during ripening in Italian dried sausage,” Meat Science, vol. 58, no. 1, pp. 93–97, 2001. View at: Publisher Site | Google Scholar
  8. R. di Cagno, C. Chaves Lòpez, R. Tofalo et al., “Comparison of the compositional, microbiological, biochemical and volatile profile characteristics of three Italian PDO fermented sausages,” Meat Science, vol. 79, no. 2, pp. 224–235, 2008. View at: Publisher Site | Google Scholar
  9. F. Bianchi, C. Cantoni, M. Careri, L. Chiesa, M. Musci, and A. Pinna, “Characterization of the aromatic profile for the authentication and differentiation of typical Italian dry-sausages,” Talanta, vol. 72, no. 4, pp. 1552–1563, 2007. View at: Publisher Site | Google Scholar
  10. M. T. Osorio, J. M. Zumalacárregui, A. Figueira, and J. Mateo, “Fatty acid composition in subcutaneous, intermuscular and intramuscular fat deposits of suckling lamb meat: effect of milk source,” Small Ruminant Research, vol. 73, no. 1–3, pp. 127–134, 2007. View at: Publisher Site | Google Scholar
  11. M. P. Rodríguez, J. Carballo, and M. López, “Characterization of the lipid fraction of some Galician (NW of Spain) traditional meat products,” Grasas y Aceites, vol. 52, no. 5, pp. 291–296, 2001. View at: Google Scholar
  12. B. M. Franke, G. Gremaud, R. Hadorn, and M. Kreuzer, “Geographic origin of meat-elements of an analytical approach to its authentication,” European Food Research and Technology, vol. 221, no. 3-4, pp. 493–503, 2005. View at: Publisher Site | Google Scholar
  13. S. Kelly, K. Heaton, and J. Hoogewerff, “Tracing the geographical origin of food: the application of multi-element and multi-isotope analysis,” Trends in Food Science and Technology, vol. 16, no. 12, pp. 555–567, 2005. View at: Publisher Site | Google Scholar
  14. G. Castello, “Retention index systems: alternatives to the n-alkanes as calibration standards,” Journal of Chromatography A, vol. 842, no. 1-2, pp. 51–64, 1999. View at: Publisher Site | Google Scholar
  15. AOAC, Official Methods of Analysis: 950.46, Association of Analytical Chemist, Washington, DC, USA, 1990.
  16. AOAC, Official Methods of Analysis: 920.158, Association of Analytical Chemist, Washington, DC, USA, 1995.
  17. AOCS, Official Methods and Recommended Practices, American Oil Chemists' Society, Champaign, Ill, USA, 5th edition, 1997.
  18. P. T. Slack, Analytical Methods Manual, Leatherhead Food R.A., London, UK, 1987.
  19. L. M. Chiesa, S. Soncin, P. A. Biondi, P. Cattaneo, and C. Cantoni, “Different fibres for the analysis of volatile compounds in processed meat products by solid phase micro-extraction (SPME),” Veterinary Research Communications, vol. 30, no. 1, pp. 349–351, 2006. View at: Publisher Site | Google Scholar
  20. B. Herranz, J. A. Ordóñez, L. de la Hoz, E. Hierro, E. Soto, and M. I. Cambero, “Fatty acid composition of salami from different countries and their nutritional implications,” International Journal of Food Sciences and Nutrition, vol. 59, no. 7-8, pp. 607–618, 2008. View at: Publisher Site | Google Scholar
  21. M. H. S. Santos, “Biogenic amines: their importance in foods,” International Journal of Food Microbiology, vol. 29, no. 2-3, pp. 213–231, 1996. View at: Publisher Site | Google Scholar
  22. T. Hernández-Jover, M. Izquierdo-Pulido, M. T. Veciana-Nogués, and M. C. Vidal-Carou, “Ion pair high-performance liquid chromatographic determination of biogenic amines in meat and meat products,” Journal of Agricultural and Food Chemistry, vol. 44, no. 9, pp. 2710–2715, 1996. View at: Publisher Site | Google Scholar
  23. S. Soncin, L. M. Chiesa, C. Cantoni, and P. A. Biondi, “Preliminary study of the volatile fraction in the raw meat of pork, duck and goose,” Journal of Food Composition and Analysis, vol. 20, no. 5, pp. 436–439, 2007. View at: Publisher Site | Google Scholar
  24. L. M. Chiesa, S. Panseri, S. Soncin, L. Vallone, and I. Dragoni, “Determination of styrene content in Gorgonzola PDO cheese by headspace solid phase micro-extraction (HS-SPME) and gas-chromatography mass-spectrometry (GC-MS),” Veterinary Research Communication, vol. 34, supplement 1, pp. S167–S170, 2010. View at: Google Scholar
  25. V. M. Moretti, G. Madonia, C. Diaferia et al., “Chemical and microbiological parameters and sensory attributes of a typical Sicilian salami ripened in different conditions,” Meat Science, vol. 66, no. 4, pp. 845–854, 2004. View at: Publisher Site | Google Scholar
  26. L. H. Stahnke, “Aroma components from dried sausages fermented with Staphylococcus xylosus,” Meat Science, vol. 38, no. 1, pp. 39–53, 1994. View at: Publisher Site | Google Scholar
  27. M. Wettasinghe, T. Vasanthan, F. Temelli, and K. Swallow, “Volatile flavour composition of cooked by-product blends of chicken, beef and pork: a quantitative GC-MS investigation,” Food Research International, vol. 34, no. 2-3, pp. 149–158, 2001. View at: Publisher Site | Google Scholar
  28. M. Careri, A. Mangia, G. Barbieri, L. Bolzoni, R. Virgili, and G. Parolari, “Sensory property relationships to chemical data of Italian- type dry-cured ham,” Journal of Food Science, vol. 58, no. 5, pp. 968–972, 1993. View at: Publisher Site | Google Scholar
  29. R. A. Edwards, J. A. Ordóñez, R. H. Dainty, E. M. Hierro, and L. de la Hoz, “Characterization of the headspace volatile compounds of selected Spanish dry fermented sausages,” Food Chemistry, vol. 64, no. 4, pp. 461–465, 1999. View at: Publisher Site | Google Scholar
  30. F. Shahidi and R. B. Pegg, “Hexanal as an indicator of meat flavor deterioration,” Journal of Food Lipids, vol. 1, no. 3, pp. 177–186, 1994. View at: Publisher Site | Google Scholar
  31. G. Procida, L. S. Conte, S. Fiorasi, G. Comi, and L. G. Favretto, “Study on volatile components in salami by reverse carrier gas headspace gas chromatography-mass spectrometry,” Journal of Chromatography A, vol. 830, no. 1, pp. 175–182, 1999. View at: Publisher Site | Google Scholar
  32. S. Dellaglio, E. Casiraghi, and C. Pompei, “Chemical, physical and sensory attributes for the characterization of an Italian dry-cured sausage,” Meat Science, vol. 42, no. 1, pp. 25–35, 1996. View at: Publisher Site | Google Scholar
  33. R. M. L. de Campos, E. Hierro, J. A. Ordóñez, T. M. Bertol, N. N. Terra, and L. de la Hoz, “Fatty acid and volatile compounds from salami manufactured with yerba mate (Ilex paraguariensis) extract and pork back fat and meat from pigs fed on diets with partial replacement of maize with rice bran,” Food Chemistry, vol. 103, no. 4, pp. 1159–1167, 2007. View at: Publisher Site | Google Scholar
  34. J. D. Coïsson, C. Cerutti, F. Travaglia, and M. Arlorio, “Production of biogenic amines in ‘Salamini italiani alla cacciatora PDO’,” Meat Science, vol. 67, no. 2, pp. 343–349, 2004. View at: Publisher Site | Google Scholar
  35. E. Casiraghi, C. Pompei, S. Dellaglio, G. Parolari, and R. Virgili, “Quality attributes of Milano salami, an Italian dry-cured sausage,” Journal of Agricultural and Food Chemistry, vol. 44, no. 5, pp. 1248–1252, 1996. View at: Publisher Site | Google Scholar
  36. E. Alissandrakis, P. A. Tarantilis, P. C. Harizanis, and M. Polissiou, “Evaluation of four isolation techniques for honey aroma compounds,” Journal of the Science of Food and Agriculture, vol. 85, no. 1, pp. 91–97, 2005. View at: Publisher Site | Google Scholar

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