Skip to the main content

Preliminary communication

https://doi.org/10.17113/ftb.60.02.22.7374

Usporedba tradicionalnih i industrijskih kobasica Baranjskog kulena i kulenove seke opsežnim proteomskim, peptidomskim i metabolomskim tehnikama

Valerija Šimunec orcid id orcid.org/0000-0002-2884-4729 ; Faculty of Food Technology and Biotechnology, Pierottijeva 6, 10000 Zagreb, Croatia
Rea Bertoša orcid id orcid.org/0000-0001-7691-6419 ; BICRO BIOCentre, Ltd., Borongajska cesta 83 H, 10000 Zagreb, Croatia
Anita Šporec orcid id orcid.org/0000-0003-3074-5145 ; BICRO BIOCentre, Ltd., Borongajska cesta 83 H, 10000 Zagreb, Croatia
Igor Lukić orcid id orcid.org/0000-0002-6611-4313 ; Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, Croatia
Diana Nejašmić orcid id orcid.org/0000-0002-8613-0214 ; BICRO BIOCentre, Ltd., Borongajska cesta 83 H, 10000 Zagreb, Croatia
Marija Lovrić orcid id orcid.org/0000-0001-8826-2061 ; BICRO BIOCentre, Ltd., Borongajska cesta 83 H, 10000 Zagreb, Croatia
Ivana Dodig orcid id orcid.org/0000-0001-6571-2701 ; Pliva Ltd., Prilaz Baruna Filipovića 25, 10000 Zagreb, Croatia
Nada Vahčić orcid id orcid.org/0000-0003-1937-4873 ; Faculty of Food Technology and Biotechnology, Pierottijeva 6, 10000 Zagreb, Croatia
Ana Butorac orcid id orcid.org/0000-0003-3890-1472 ; BICRO BIOCentre, Ltd., Borongajska cesta 83 H, 10000 Zagreb, Croatia


Full text: english pdf 661 Kb

page 178-191

downloads: 302

cite

Download JATS file


Abstract

Pozadina istraživanja. Baranjski kulen jedna je od najpopularnijih fermentiranih kobasica u Hrvatskoj. Ima zaštićenu oznaku zemljopisnog podrijetla te se tradicionalno proizvodi u hrvatskoj regiji Baranji. Kulenova seka je fermentirana kobasica koja je vrlo slična Baranjskom kulenu, no manjeg je kalibra te je zbog toga i vrijeme potrebno za njezinu proizvodnju kraće. Zbog velike popularnosti i potražnje navedenih proizvoda, zadnjih su se desetljeća na tržištu pojavili i industrijski proizvedeni Baranjski kulen i kulenova seka. Svrha je ovog istraživanja bila identificirati specifične osobine tradicionalnih i industrijskih kobasica, Baranjskog kulena i kulenove seke, na razini proteoma, peptidoma i metaboloma, što bi moglo omogućiti bolje optimiranje industrijskog procesa proizvodnje te približiti industrijski proizvod tradicionalnom proizvodu.
Eksperimentalni pristup. Proteinski profili Baranjskog kulena i kulenove seke (tradicionalnog i industrijskog) ispitani su dvodimenzionalnom gel elektroforezom, denzitometrijskom analizom te spektrometrijom masa. Peptidni profil je određen tekućinskom kromatografijom spregnutom s tandemnom spektrometrijom masa. Profili spojeva arome određeni su plinskom kromatografijom sa spektrometrijom masa nakon mikroekstrakcije vršnih para na čvrstoj fazi.
Rezultati i zaključci. Glavne značajke ispitanih proizvoda su: industrijski Baranjski kulen: specifična degradacija proteina miozin-1 i titina, povećana količina proteina povezanih s odgovorom na stres te pojačana degradacija fenilalanina; tradicionalni Baranjski kulen: smanjena količina fenilalanina, povećana količina proteina fruktoza-bisfosfat aldolaza A i ugljikova anhidraza 3; industrijska kulenova seka: specifični proces degradacije proteina miozin-4 i hemoglobin podjedinica alfa; tradicionalna kulenova seka: povećana količina proteina dihidropirimidin dehidrogenaza [NADP(+)] i laganog lanca miozin 1/3 (izoforma skeletnog mišića), degradacija albumina i mioglobina, smanjena koncentracija gotovo svih aminokiselina te povećana količina hlapljivih spojeva porijeklom iz dima. Prikazani rezultati pokazuju da je moguće pronaći specifične markere za pojedinu kobasicu.
Novina i znanstveni doprinos. U ovom prethodnom priopćenju predstavljeni su prvi rezultati koji opisuju procese degradacije proteina te generiranje peptida, slobodnih aminokiselina i spojeva arome u industrijskim i tradicionalnim kobasicama, Baranjskom kulenu i kulenovoj seki. Iako je potrebno provesti dodatna istraživanja radi donošenja općenitih zaključaka, određivanje specifičnog profila proteina, peptida, aminokiselina i hlapljivih spojeva čini prvi korak u približavanju značajki industrijski proizvedenih kobasica onima tradicionalnih kobasica.

Keywords

industrijski fermentirana kobasica; tradicionalno fermentirana kobasica; Baranjski kulen; kulenova seka; proteomika; peptidomika; aromatski profil

Hrčak ID:

279593

URI

https://hrcak.srce.hr/279593

Publication date:

30.6.2022.

Article data in other languages: english

Visits: 1.313 *




INTRODUCTION

Traditional fermented meat production has a long history and is very popular in different parts of the world. Variations in production conditions often contribute to specificity in texture and flavour (1,2). Due to the high demand and popularity of fermented meat products, small traditional production is often replaced by large industrial production. However, obtaining a final product that meets the texture and flavour of the traditional product is still a challenge for the meat industry (3).

Attributes of fermented meat products are derived from extensive protein changes occurring during fermentation and maturation processes. Proteolysis is one of the most important biochemical changes that influences both texture and flavour development due to the formation of several low-molecular-mass compounds, including peptides, free amino acids, aldehydes, organic acids and amines (4). Generally, it is known that hydrolysis of meat proteins generates polypeptides by endogenous muscle enzymes, such as cathepsins, calpains and proteasome (5,6). The polypeptides can be further degraded to smaller peptides and free amino acids by the action of peptidases and aminopeptidases from both muscle and microorganisms (2,7). Free amino acids released during ripening directly contribute to the basic taste of dry fermented sausages. Amino acids are precursors of many volatile compounds thus indirectly contributing to the development of the typical aroma of the final meat product (2,5). It is well known that technological conditions during fermentation may determine and/or regulate protein degradation (8). Furthermore, in order to shorten the ripening time, ensure colour development, enhance flavour, improve product safety, and preserve the original sensory quality of the products, starter cultures are frequently used in industrial production (1).

Baranjski kulen is a fermented sausage with protected geographical indication (PGI), and it is traditionally produced in Baranja region of Croatia. Traditional baranjski kulen is a naturally fermented sausage made with minced pork meat and pork back fat, mixed with spices and filled in a natural casing, derived from a pig’s caecum. Kulenova seka is a fermented sausage very similar to baranjski kulen but made by stuffing the meat into a natural casing derived from pig’s rectum. These two types of sausages have very similar raw material; however, they are different in calibre, and consequently, time of production. Currently, the information about the similarity of baranjski kulen and kulenova seka on the molecular level is still limited.

This preliminary communication presents the first insights into protein degradation processes and generation of peptides, free amino acids, and aroma compounds of industrial and traditional baranjski kulen and kulenova seka. Data obtained for all products are compared, and the results enabled identification of specific characteristics of each product.

MATERIALS AND METHODS

Sausage sampling

Baranjski kulen and kulenova seka were purchased from the Matijević family farm (Suza, Croatia) and from the Croatian meat industry Belje plus Ltd. (Beli Manastir, Croatia) in 2016. The production process of baranjski kulen (PGI) is precisely specified and very similar to the production process of kulenova seka (9). A brief description of the production of both products with an emphasis on the differences between baranjski kulen and kulenova seka as well as the differences in the process between traditionally and industrially produced sausages is given below.

Raw materials for production of these sausages originated from T2 (pigs with higher final mass) and K (sows obtained by breeding) category pigs. For traditional sausages, the raw material was obtained only from the T2 category, while both T2 and K category pigs were used for the industrial version. At least 80% of the meat part must come from the first category meat (ham and loin), while the use of third category meat is not allowed. According to a specified process, prior to preparation of the filling, the raw material was tempered, meat at between -2 and 4 °C and back fat at between 
-8 and 4 °C. The tempered and pre-minced back fat was then mixed with the meat in a required meat/fat ratio (in kg/kg: 90:10 for baranjski kulen and 80:20 for kulenova seka) with the addition of sweet red pepper, red hot pepper, ground white pepper, garlic and salt. To the best of our knowledge, in traditional sausages fresh garlic and sucrose were added without other additives. On the other hand, in industrial sausages, besides dry garlic and dextrose, starter cultures (Staphylococcus equorum and Lactobacillus curvatus) were added for fermentation control along with antioxidants, nitrites and nitrates. At this point, the mixture was minced to a granulation of 6 or 8 mm and filled into pork intestines. Baranjski kulen is filled in a natural casing, derived from pig’s caecum, while kulenova seka is filled in a natural casing derived from pig’s rectum. Prior to fermentation, conditioning was carried out for 24 h. Sausages were then transferred into the fermentation chamber for at least 7 days. During fermentation, the products were periodically smoked, provided that the smoke temperature did not exceed 22 °C. Fermentation conditions such as temperature (5-24 °C), air humidity (75-92%) and air circulation were monitored only in industrial processing. The ripening lasted for at least three months at a temperature up to 15 °C and air humidity from 60 to 85%. The main differences from traditional products were in the duration and control of fermentation and ripening conditions. Consequently, the total processing time for industrial baranjski kulen was 90 days, industrial kulenova seka 50 days, traditional baranjski kulen 150 days, and for traditional kulenova seka 65 days. For the purpose of preliminary investigation, one of each industrially and traditionally produced baranjski kulen and kulenova seka were analysed.

Protein, peptide and amino acid isolation from sausages

A representative portion of each sausage was homogenized in distilled water for 5 min (1:4, g/g). The supernatant was decanted, filtered and then centrifuged (5415R; Eppendorf, Hamburg, Germany) at 10 000×g and 4 °C for 15 min. The supernatant was placed in a clean tube and used for soluble protein fraction, peptide and amino acid analyses. One of each industrially and traditionally produced baranjski kulen and kulenova seka were analysed. All samples were prepared in duplicate.

Protein analysis

Two-dimensional gel electrophoresis (2-DE) was performed as described by Butorac et al. (10). Isoelectric focusing (IEF) was performed using Flatbed IEF System (Cleaver Scientific, Rugby, UK). The second dimension, sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS-PAGE) was run with OmniPAGE System (Cleaver Scientific) through 1-mm thick 12% polyacrylamide gel. The proteins were visualized by Coomassie Brilliant blue staining. 2-DE gels were made in duplicates. All chemicals and materials were purchased from Sigma-Aldrich Co., Merck, Darmstadt, Germany. Densitometry analysis was performed with image analysis software (Discovery Series PDQuest 2-DE analysis software, v. 7.4.0) (11) integrated with a VersaDoc 4 000 Imaging System (Bio-Rad, Hercules, CA, USA). Master gel was created automatically based on the differentially expressed spots identified across all the gels. Differential analysis was obtained by overlapping images of gels based on Gaussian distribution with a cut-off>3.0.

Differentially displayed spots were excised from gels and subjected to tryptic in-gel digestion according to the procedure described by Shevchenko et al. (12). After digestion, the extracted peptides were purified with reversed-phase columns (ZipTip C4; Millipore, Darmstadt, Germany) and 0.5 µL of purified peptides was spotted onto a metal matrix-assisted laser desorption/ionization (MALDI) plate. Sample droplets were dried, and then 0.5 µL of matrix solution was added. The matrix contained 1.4 mg of α-cyano-4-hydroxycinnamic acid (CHCA; Sigma-Aldrich, Merck) dissolved in 1 mL of solvent mixture containing 85% acetonitrile (ACN) and 15% aqueous solution of 0.1% trifluoroacetic acid (TFA).

Mass spectrometry (MS) was acquired with MALDI time-of-flight/time-of-flight (TOF/TOF) (Autoflex Speed; Bruker, Bremen, Germany) in a positive ion reflection mode. The instrument parameters were set using Flex Control v. 3.4 software (Bruker) (13). Mass spectra were obtained by averaging 1000 laser shots covering a mass range m/z=700-4000. After the recording of MS spectra, ten of the most intense precursor signals were selected for tandem mass spectrometry analysis (MS/MS). Protein identification and database search were performed by ProteinScape v. 3.1.0 software (Bruker) (14). Combined MS and MS/MS data were matched against the SwissProt database (15) by MASCOT search engine. The parameters were set as follows: one trypsin miscleavage, oxidation of methionine and 100 ppm precursor mass tolerance. The Gene Ontology (GO) Consortium’s online tool (http://www.geneontology.org/) was used for functional characterization of differentially expressed proteins (16).

Peptide analysis

The volume of 500 µL of each sample prepared as described in the section Protein, peptide and amino acid isolation from sausages was pipetted in Microcon filter 10 kDa (Millipore, Bedford, MA, USA) and was several times recentrifuged at 5000×g (5415R; Eppendorf) until 200 µL of the filtrate were collected.

The NanoLC system Dionex Ultimate 3 000 RSLCnano (Thermo Fisher Scientific, Waltham, MA, USA) equipped with a UV/Vis detector coupled to Proteineer fcII (Bruker) was used for peptide separation and collection directly onto the MALDI plate. Chromatographic separation was performed on a column Acclaim PepMap 100 C18 3 µm, 100 Å, 75 µm i.d.×15 cm (Thermo Fisher Scientific) at 40 °C. The flow rate was 0.3 µL/min, and the injection volume was 1 µL. Mobile phase A consisted of 0.1% aqueous solution of TFA (V/V) and mobile phase B consisted of 0.1% TFA in ACN. The 75-minute gradient elution was programmed to increase over 70 min with solvent B from 2 to 90% and then to condition the column back to the initial conditions until the completion of the run. The spotter make-up flow was set to 100 µL/h (1.4 mg CHCA matrix dissolved in 1 mL of 50% ACN aqueous solution). The total number of collected fractions was 192.

MS acquisition was performed using MALDI-TOF/TOF (Autoflex Speed; Bruker). Acquisition was performed in positive ion reflection mode. The instrument parameters were set using Flex Control v. 3.4 software (Bruker) (13). Mass spectra were obtained by averaging 1000 laser shots covering a mass range m/z=700-4 000. MS/MS analysis was done with the following parameters: signal-to-noise (S/N) threshold 10, 100 ppm mass tolerance between compounds, merging compounds separated by less than 6 fractions, 5.0 Da as minimal mass distance to co-eluting compounds. Using the SwissProt protein database (15), mammal taxonomy was searched with ProteinScape v. 3.1.0 (Bruker) (14). A search using MS/MS data was matched against the Swiss-Prot database (15) by the MASCOT search engine. The parameters were set as follows: unspecified cleavage, oxidation on methionine, asparagine and glutamine deamination as variable modifications and 100 ppm mass tolerance. Functional characterization (GO) of identified proteins was performed by the above-mentioned online tool (16).

Free amino acid analysis

The volume of 500 µL of each sample was prepared as described above for peptide analysis, the difference being in pipetting in Microcon filter 3 kDa (Millipore, Bedford). Then it was recentrifuged several times at 5000×g (Eppendorf) until 200 µL of filtrate were collected. Filtrate was diluted 5 times in water, and 10 µL of diluted sample were derivatized with AccQ-Tag reagent (Waters, Milford, MA, USA) according to the manufacturer’s instructions.

Amino acid analysis was performed as described in Waters AccQ-Tag Chemistry Package instruction manual using a Waters liquid chromatography system with fluorescent detector. Individual amino acids were identified by comparison of their retention times with those of calibration standards.

Aroma profiling

Volatile extraction by headspace solid phase microextraction (HS-SPME) was carried out according to the modified method of Ma et al. (17). Representative sausage samples were minced in saturated sodium chloride solution (1:5, g/g). The solution was mixed at room temperature for 20 min. An aliquot (10 mL) of homogenized sample was placed in 20-mL flat bottom headspace vial along with the magnet and then capped with a crimp cap fitted with a polytetrafluoroethylene (PTFE)/silicone septum (Supelco, Bellefonte, PA, USA). The headspace vial was heated at 40 °C for 30 min in order to achieve equilibration. SPME carboxen/polydimethylsiloxane (PDMS) fibre (Agilent Technologies, Santa Clara, CA, USA) was preconditioned prior to analysis at 250 °C for 10 min in a GC injection port. Then, the volatile components in the samples were adsorbed onto the fibre for 180 min. One of each industrially and traditionally produced baranjski kulen and kulenova seka were analysed. All samples were prepared in duplicate.

After extraction, the SPME fibre was inserted directly into the injection port of the gas chromatograph GC 7890B equipped with 7693A ALS interface and 240 Ion Trap GC/MS detector (Agilent Technologies). The volatile compounds were immediately thermally desorbed for 2 min at 250 °C in the SPME-specific liner in the injector port of GC-MS. A DB-35MS capillary column (35%-phenyl)-methylpolysiloxane phase, 30 m×0.25 mm×0.25 µm (Agilent Technologies) was used for separation. Helium 6.0 (purity 99.9999%) was used as a carrier gas with a constant flow rate of 1.5 mL/min. Chromatographic conditions were as follows: the oven was held for 2 min at 40 °C, heated to 240 °C at 5 °C/min, and held for 3 min at this temperature. The total run time was 45 min. The mass spectrometer was operated in the electron impact mode with a source temperature of 200 °C, an ionizing voltage of 70 eV, the transfer line temperature of 240 °C, manifold temperature of 40 °C and ion trap temperature of 150 °C. The mass spectrometer scanned masses from 30 to 350 m/z at a scan time of 2 µscan/s and maximum ionization time 65 000 µs. Peak identification was carried out by comparing the obtained mass spectra with those in the NIST 2014/EPA 7/NIH Mass Spectral Database (18). The data were processed by the analysis of variance (one-way ANOVA) and the least significant difference (LSD) post hoc test was used to compare the mean values of concentrations at p<0.05. Statistica v. 13.2 software (19) was used. All four products were compared with each other based on the obtained results.

RESULTS AND DISCUSSION

For the purpose of the preliminary study, we have analysed the industrially and traditionally produced sausages baranjski kulen and kulenova seka via the proteomic and peptidomic approach complemented with the amino acid analysis and aroma profile analysis. The main goal was to make comparisons between protein degradation processes and generation of peptides, free amino acids and aroma compounds to reveal product specificity.

Proteome and peptidome analysis

A total of 435 protein spots were detected on 2-DE gels of industrial baranjski kulen and 450 on 2-DE gels of the traditional sample. A total of 446 protein spots were detected on 2-DE gels of industrial kulenova seka and 450 on 2-DE gels of the traditional sample. In comparative analysis of all 2-DE gels, 51 spots were detected as differentially displayed, of which 46 were successfully identified.Fig. 1 shows an image of the 2-DE master gel.Table 1 presents the complete list of significantly altered proteins when comparing all four products. Based on the data obtained from the MASCOT database, 11 proteins were identified in more than one spot. Generally, a protein shift on 2-DE gel can be associated with posttranslational modification that leads to a change in overall protein charge and/or molecular mass or can be due to limited proteolysis (20).

Fig. 1 A master gel from a 2-DE gel electrophoresis showing differentially expressed soluble protein fractions isolated from industrial and traditonal baranjski kulen, and industrial and traditonal kulenova seka. Black crosses show protein spots that are differentially expressed among products. Protein spots are identified after mass spectrometry analyses and gene names are linked to each spot. Number after gene name is attached to proteins identified in more than one spot. Densitometric values of each spot and mass spectrometry results are shown inTable 1. N.I.=not identifed spot
FTB-60-178-f1
Table 1 Differentially expressed soluble proteins in traditional and industrial baranjski kulen and kulenova seka detected in 2-DE (Fig. 1) by matrix-assisted laser desorption/ionization time-of-flight/time-of-flight (MALDI-TOF/TOF) mass spectrometry analysis
Biological processaAccession nob/geneProtein namecMtheoretical/kDaSpotdScoreeMestimated/kDaKulenova sekaBaranjski kulen
IndustrialTraditionalIndustrialTraditional
Aspot/10 000f
Small molecule metabolic process (GO:0044281)CAH3/CA3Carbonic anhydrase 329CA33630n.d.n.d.n.d.235.0±96.5
ALDOA/ ALDOAFructose-bisphosphate aldolase A40ALDOA_137025n.d.n.d.n.d.863.2±32.2
ALDOA_224840n.d.n.d.n.d.44.8±16.7
ALDOA_318940n.d.n.d.n.d.88.7±65.8
ALDOA_417940n.d.n.d.n.d.201.5±146.1
ACY1/ ACY1Aminoacylase-146ACY137646(60.0±12.4)*(194.5±17.4)**n.d.n.d.
IDHC/ IDH1Isocitrate dehydrogenase [NADP]46IDH113546(81.7±26.1)*(298.9±25.7)**140.0±49.7127.8±56.0
DPYD/ DPYDDihydropyrimidine dehydrogenase [NADP(+)]111DPYD_13721(33.4±11.2)*(167.8±21.2)**n.d.n.d.
DPYD_23820(43.4±35.0)*(172.4±35.0)**n.d.n.d.
MDHC/MDH1Malate dehydrogenase, cytoplasmic37MDH1_136837n.d.126.4±108.9n.d.339.5±136.7
MDH1_26537(89.9±42.1)*(403.7±48.6)**n.d(418.5±26.0)**
KPYM/PKMPyruvate kinase58PKM_111758n.d.n.d.1265.7±146.6n.d.
PKM_23827107.1±61.8128.2±56.4300.4±58.7n.d.
PKM_325450(81.3±51.9)*(35.0±12.3)*n.d.(681.2±74.5)**
PKM_410535n.d.n.d.n.d.352.7±123.9
PKM_536052n.d.89.3±55.7n.d.86.7±65.8
PKM_618055n.d.(685.3±100.4)*(90.7±23.6)**(168.9±76.4)**
PKM_732255n.d.(211.4±26.5)*n.d.(685.3±21.5)**
KAD1/AK1Adenylate kinase
isoenzyme 1
22AK1_120724n.d.n.d.193.7±74.1n.d.
AK1_264211.8±76.0n.d.n.d.500.8±221.4
Cellular response to stress (GO:0033554)TRFE/TFSerotransferrin77TF25560n.d.n.d.(390.2±45.0)*(100.9±19.5)**
GSTP1/ GSTP1Glutathione
S-transferase P
25GSTP19724n.d.n.d.216.5±29.1n.d.
ANXA6/ANXA6Annexin A675ANXA67437n.d.n.d.45.4±29.5n.d.
Muscle contraction (GO:0006936)MYL1/MYL1Myosin light chain 1/3, skeletal muscle isoform16MYL116416n.d.123.5±66.8n.d.n.d.
TNNT3/ TNNT3Troponin T, fast skeletal muscle32TNNT3_118621392.1±171.2n.d.n.d.n.d.
TNNT3_224723(530.1±87.3)*(53.9±97.0)**n.d.(546.8±97.8)*
TNNI2/TNNI2Troponin I21TNNI2_17716652.4±72.8(349.7±96.7)**512.0±32.5(1792.9±478.9)*
TNNI2_212514n.d.(556.8±18.4)*n.d.(75.5±65.2)**
TITIN/TTNTitin2066TTN_113322n.d.n.d.263.4±65.4n.d.
TTN_210125n.d.n.d.112.2±78.9n.d.
TTN_310038263.6±47.9n.d.n.d.n.d.
TTN_411438418.0±150.8n.d.n.d.n.d.
TPM1/TPM1Tropomyosin alpha-1 chain33TPM1_19538n.d.491.1±97.8n.d.1142.9±535.1
TPM1_220838(1497.9±121.8)*(372.4±15.4)**851.0±121.8(1423.1±112.2)*
TPM1_332737(407.5±75.3)*(634.3±71.3)*n.d.(3869.8±111.6)**
TPM1_4535371525.8±146.5n.d.1627.1±91.22425.1±39.4
TPM1_540935n.d.n.d.n.d.6174.7±731.1
TPM1_640735n.d.n.d.n.d.1626.2±624.5
Regulation of signal transduction (GO: 0009966)PEBP1/PEBP1Phosphatidylethanolamine-binding protein 121PEBP1_124123n.d.426.5±61.5n.d.n.d.
PEBP1_214821(301.7±12.2)*(96.0±9.1)**(350.1±50.1)*n.d.
Vesicle-mediated transport
(GO: 0016192)
ALBU/ALBAlbumin66ALB_113722n.d.n.d.263.4±113.4n.d.
ALB_248331n.d.n.d.n.d.195.0±113.4
ALB_326046n.d.n.d.n.d.295.8±14.4
ALB_414944n.d.n.d.n.d.358.9±35.4
PGBM/HSPG2Basement membrane-specific heparan sulfate proteoglycan core protein398HSPG23716n.d.67.5±12.2n.d.206.4±17.1
HPT/HPHaptoglobin38HP12545249.4±34.8n.d.284.7±213.2n.d.

aBiological process(es) according to Gene Ontology (GO) (16). bUnique alphanumeric identifier of each entry in SwissProt database (15). cProtein name recommended by the SwissProt database consortium (15). dSpot on 2-DE gels (Fig. 1). eIon score is -10∙log(P), where P is the probability that the observed match is a random event. Individual ion scores >35. fDensitometry values (Intensity×spot area/10 000) calculated for specific spot. Significant fold change cut-off was >3.0, and is indicated with stars. n.d.=not detected. * and ** in a row represent statistically significant differences among products at p<0.05 obtained by one-way ANOVA and LSD test

Peptidomic analysis revealed that traditional kulenova seka contained the lowest number of peptides (in total 43), whereas the highest number of peptides was identified in industrial kulenova seka (in total 107). A total of 72 peptides were identified in traditional baranjski kulen and 96 in industrial baranjski kulen.Table 2 shows the list of proteins from which the identified peptide sequences originated. Most of the peptides in all samples arise from actin.

Table 2 Identified peptides detected in traditional and industrial baranjski kulen and kulenova seka by LC-MALDI-TOF/TOF mass spectrometry analysis
Biological processaAccession no.b/geneProtein namecKulenova sekaBaranjski kulen
IndustrialTraditionalIndustrialTraditional
Peptide no./protein coveraged
Muscle contraction
(GO: 0006936)
MYH1/MYH1Myosin-1n.d.n.d.4/2.2n.d.
MYH4/MYH4Myosin-412/1.8n.d.n.d.n.d.
MYL1/MYL1Myosin light chain 1/3, skeletal muscle isoformn.d.n.d.2/10.95/13.5
MLRS/MYLPFMyosin regulatory light chain 2, skeletal muscle isoform4/7.1n.d.7/14.15/14.1
MYG/MBMyoglobinn.d.1/0.4n.d.n.d.
TITIN/TTNTitinn.d.n.d.1/0.1n.d.
TNNI2/TNNI2Troponin I, fast skeletal muscle13/18.1n.d.3/8.2n.d.
TNNT3/TNNT3Troponin T, fast skeletal muscle9/15.1n.d.9/13.37/12.5
ACTS/ACTA1Actin, alpha skeletal muscle55/30.028/15.951/28.949/26.3
Actin filament-based process (GO: 0030029)STAR8/STARD8StAR-related lipid transfer
protein 8
n.d.n.d.1/1.8n.d.
Small molecule metabolic process (GO: 0044281)CAH3/CA3Carbonic anhydrase 32/8.5n.d.2/7.7n.d.
ENOB/ENO3Beta-enolasen.d.n.d.3/2.53/2.5
KCRM/CKMCreatine kinase M-type6/13.66/13.99/13.63/6.0
Cell surface receptor signaling pathway
(GO: 0007166)
GP115/ADGRF4Adhesion G protein-coupled receptor F4n.d.n.d.2 / 5.0n.d.
Adaptive immune response (GO: 0002250)PEPL/PplPeriplakinn.d.n.d.1/0.4n.d.
Vesicle-mediated transport (GO: 0016192)ALBU/ALBAlbuminn.d.8/15.3n.d.n.d.
HBA/HBA1Haemoglobin subunit alpha1/10.6n.d.n.d.n.d.
Sarcomere organization (GO: 0045214)LDB3/LDB3LIM domain-binding protein 33/1.4n.d.1/1.2n.d.

aBiological process(es) according to Gene Ontology (GO) (16). bUnique alphanumeric identifier of each entry in SwissProt database (15). cProtein name recommended by the SwissProt database consortium (15). dTotal number of unique peptides detected in two technical repetitions and protein sequence coverage (%). n.d.=not detected

With respect to the observed proteomic and peptidomic results, according to GO (16), most of the identified proteins and peptides can be grouped into: proteins related to muscle contraction, small molecule metabolic process, cellular response to stress and vesicle-mediated transport.

Muscle contraction proteins

The most observable protein degradation process affected proteins involved in muscle contraction: myosin heavy chains (myosin-1 and -4), myosin light chain 1/3 (skeletal muscle isoform), titin, troponin I, troponin T and tropomyosin alpha-1 chain. Cathepsins, which can penetrate the myofibrillar structure, are responsible for the initial hydrolysis of myosin during dry-curing (5). After the initial myofibrillar protein breakdown by muscle proteinases, the enhanced proteolysis of myofibrillar proteins can be the result of the addition of starter cultures (7). Proteolysis of myosin-1 generates large amounts of small peptides in fermented meat products (21). Interestingly, peptides originating from myosin-1 were detected only in industrial baranjski kulen. As peptides originating from myosin-1 were not detected in other products, we can assume that a less intense degradation might have occurred in other products. Furthermore, our preliminary results indicate that the intense hydrolysis of myosin-4 occurred in industrial kulenova seka as 12 peptides originating from this protein were detected. It was previously described that titin undergoes intense degradation throughout the processing of dry-cured meat products, generating large amounts of peptides due to the huge size (22). In the industrially produced kulenova seka and baranjski kulen partial degradation of titin was detected (Fig. 1). Fragments with estimated molecular masses of 22 and 25 kDa were detected in traditional baranjski kulen, while fragments with a molecular mass of 38 kDa were detected in industrial kulenova seka. Only one peptide originating from titin was identified by peptidomic analysis in industrial kulenova seka. Based on the given results, we can emphasize that titin was not subjected to an intense proteolysis during industrial processing, but to a slow and product type specific degradation. Previous studies have reported low degradation of the myosin light chain during curing in dry sausages compared to fresh meat (23). On the contrary, the intense proteolysis of the myosin light chain after the addition of starter cultures in beaker sausages was detected (7). Our results showed that an intact myosin light chain 1/3 was present only in traditional kulenova seka, and the corresponding peptides were detected in traditional baranjski kulen. Therefore, we can suppose that a specific degradation occurred during the traditional processing period. The described degradation could be due to different production times. Fadda et al. (23) also detected myosin light chain 1/3 degradation that may be related to a longer ripening period or to the applied technology.

Cathepsins are also responsible for troponin I hydrolysis during dry-curing (5). Significant occurrence of the peptides originating from troponin I has been observed in more tender meat (24). Our results indicate partial degradation of troponin I in all products as fragments corresponding to 16 kDa were detected. Furthermore, in traditionally produced baranjski kulen and kulenova seka, fragments with a molecular mass of 14 kDa were also detected. On the contrary, small molecular mass peptides were detected in industrially produced baranjski kulen and kulenova seka, indicating a more intense and processing type-specific degradation process. More intense proteolysis could be the result of the addition of starter cultures to industrial products.

Peptides originating from myoglobin were detected as a result of indigenous muscle proteinase degradation throughout the ripening of fermented sausages (4). Furthermore, it was evidenced that genetics can also influence myoglobin degradation during dry-curing of ham (25). In our study, a peptide analysis revealed that peptides originated from myoglobin only in traditional kulenova seka. Myoglobin degradation was reported in semi-dry fermented sausages (4) and in the beaker sausage model with the addition of autochthonous starter cultures (7).

Small molecule metabolic process

The protein degradation also affected the proteins included in the small molecule metabolic process: fructose-bisphosphate aldolase A, carbonic anhydrase, aminoacylase-1, isocitrate dehydrogenase [NADP], pyruvate kinase, dihydropyrimidine dehydrogenase [NADP(+)] and beta-enolase. Intact fructose-bisphosphate aldolase A and carbonic anhydrase 3 proteins were detected on 2-DE gels only in traditional baranjski kulen. For both enzymes, fructose-bisphosphate aldolase A and carbonic anhydrase 3 resistance to endogenous and microbial enzyme activity was reported (26). Thus, a higher expression level of fructose-bisphosphate aldolase A and carbonic anhydrase 3 in traditional baranjski kulen could be explained by the generally higher level of these proteins in raw meat. However, peptide analysis results showed that peptides originating from carbonic anhydrase 3 were present in other products, industrial baranjski kulen and kulenova seka. These results indicate that carbonic anhydrase 3 underwent proteolysis in other products despite the described resistance. Therefore, in industrial products (baranjski kulen and kulenova seka), the lower level of carbonic anhydrase 3 was more likely related to enhanced proteolysis in industrial products due to the addition of starter cultures than to raw meat composition. Furthermore, our results confirmed partial degradation of pyruvate kinase in all four products. As shown inFig. 1, fragments were predominantly detected in traditional products, while an intact molecule was confirmed in industrial baranjski kulen. Peptides originating from pyruvate kinase were not detected by peptidomic analysis (Table 2), confirming the partial digestion process. Beta-enolase hydrolysis by endopeptidases and exopeptidases was identified in dry-cured meat such as dry-cured ham and dry-fermented sausages (25). Our results pointed out specific degradation of beta-enolase in baranjski kulen products (both industrial and traditional), as peptides originating from beta-enolase were detected only in the baranjski kulen products (Table 2). Intact malate dehydrogenase was identified on 2-DE gels of traditional products (both kulenova seka and baranjski kulen) (Fig. 1). Rosa et al. (24) demonstrated that malate dehydrogenase expression could be a result of a variety in genotypes. A greater abundance of dihydropyrimidine dehydrogenase [NADP(+)] was found in traditional than industrial kulenova seka, while it was not detected in baranjski kulen. To the best of our knowledge, no information about the degradation of dihydropyrimidine dehydrogenase [NADP(+)] for fermented sausages is available in literature.

Cellular response to stress

Proteins involved in cellular response to stress serotransferrin and glutathione S-transferase P were identified in industrial baranjski kulen, while annexin A6 was identified in both industrial and traditional baranjski kulen. The overabundance of these proteins in industrial baranjski kulen could originate from the differences in raw muscle composition. However, it could also be due to the proteolysis or changes in the solubility of protein during denaturation and/or degradation.

Vesicle-mediated transport

Albumin, haemoglobin subunit alpha, basement membrane-specific heparan sulfate proteoglycan core protein and haptoglobin are proteins with a role in vesicle-mediated transport. The presence of albumin and haemoglobin subunit alpha in meat is probably related to the remaining blood in the muscles after bleeding and it is commonly identified in the muscles (27). The peptide analysis revealed the peptides originating from albumin specific for traditional kulenova seka, while partial digestion of serum albumin was detected on 2-DE gels of baranjski kulen. Our results indicate that a different proteolysis process occurred in baranjski kulen products compared to kulenova seka. This could be due to different calibre and different production duration. Piñeiro et al. (28) showed that the concentration of haptoglobin increased significantly from a base level as a result of animal tissue inflammation. Detection of haptoglobin only in industrial products could point to the better health of animals used in traditional production.

Amino acids and aroma profiles

Quantitative comparison of the concentration of the amino acids between traditional and industrial baranjski kulen and kulenova seka is shown inFig. 2. From the amino acid profile, it can be observed that significantly lower concentrations of almost all amino acids were measured in traditional kulenova seka than in other products. These results are in correlation with the peptide analysis and could be related to lower protein degradation. However, the low amount of amino acids after fermentation could also indicate their metabolisation by bacteria (2). The predominant amino acids in all samples were arginine and glutamate/glutamine. A similar profile was found in Spanish sausage, where the highest amounts of glutamine, arginine and tyrosine were measured (22). A high concentration of glutamic acid was also detected in the sausages after the addition of starter cultures (2). During drying and ripening of other types of sausages, an increase in the concentration of phenylalanine was observed (29). On the contrary, in traditional baranjski kulen, very low concentrations of phenylalanine were measured compared to other products. This may be due to the drying and ripening processes (29), but also due to amino acid degradation pathway (30).

Fig. 2 Free amino acid composition of industrial and traditional baranjski kulen and kulenova seka. Error bars represent the standard deviation for each product. Different letters represent statistically significant differences among products. Asx=aspartic acid and asparagine, Ser=serine, Glx= glutamic acid and glutamine, Gly=glycine, His=histidine, Arg=arginine, Thr=threonine, Ala=alanine, Pro=proline, Val=valine, Met=methionine, Lys=lysine, Ile=isoleucine, Leu=leucine and Phe=phenylalanine
FTB-60-178-f2

Relative amounts of volatile aroma compounds detected in the headspace of baranjski kulen and kulenova seka produced by traditional and industrial technologies are reported inTable 3. In total, 43 compounds were (tentatively) identified, including four terpenes, two organosulphur compounds, three miscellaneous compounds, 11 benzenoids, 19 phenols and 4 furanoid and pyranoid compounds.

Table 3 Relative amounts of peak area (Apeak) of volatile compounds in industrial and traditional baranjski kulen and kulenova seka
Volatile compoundApeak/10 000
Baranjski kulenKulenova seka
IndustrialTraditionalIndustrialTraditional
Terpenes
Limonene9.2±8.6112.5±45.7n.d.40.9±15.8
Terpene n.i. 121, 93, 16132.6±1.072.3±47.832.6±1.930.8±11.8
Terpene n.i. 133, 93, 161 (caryophyllene structure)137.0±21.2205.6±154.1123.1±10.494.2±27.6
Terpene n.i. 93, 121, 147 (humulene structure)18.5±3.224.6±18.919.0±3.17.6±7.7
Organosulfur compounds
Methyl ethyl sulphide2.0±2.8n.d.3.7±2.2n.d.
Diallyl disulphide16.9±13.713.3±3.520.0±10.744.5±19.1
Miscellaneous
Heptanal1.5±1.70.4±0.60.8±0.3n.d.
Methyl 2,4-hexadienoaten.d.n.d.50.4±11.9n.d.
n-Hexadecanoic acid5.2±4.950.7±43.81.8±0.863.8±90.9
Benzenoids
Phenylmethanal1132.3±1201.3375.7±389.4421.1±131.4105.0±48.2
Phenyl cyaniden.d.(68.8±76.1)bn.d.(513.9±39.4)a
Phenylmethanol(110.1±61.6)bc(177.7±30.9)b(322.3±34.1)a(31.9±9.7)c
Phenylacetaldehyde(10895.9±6451.7)a(1522.5±599.8)b(1163.3±545.2)b(102.4±64.2)b
Phenylethanol353.6±465.058.0±14.583.8±32.964.5±26.1
3,4-Dimethoxytoluene103.5±45.9283.7±126.392.2±13.8270.7±153.0
1,4-Dimethoxy-2-methylbenzene63.4±29.5143.4±87.785.6±13.3133.1±99.4
Indane-4-carboxaldehyde51.6±32.4n.d.n.d.n.d.
1,2,3-Trimethoxybenzene17.5±7.674.2±63.919.2±4.646.4±31.5
Acetyl eugenol136.4±89.982.7±81.6173.3±79.6141.8±129.2
1,2,4-Trimethoxybenzene127.3±57.6107.6±76.2192.6±86.9146.4±70.5
Phenols
Phenol(177.9±162.8)b(411.2±279.7)b(628.2±71.7)b(1487.5±232.6)a
2-Methylphenol(204.9±48.9)b(338.2± 99.6)b(401.3±119.7)b(718.4±109.5)a
3-Methylphenol(262.0±117.3)b(547.0±48.6)b(508.4±147.5)b(1401.9±396.9)a
2-Methoxyphenol(1811.9±1049.6)b(1630.4±989.6)b(3104.7±626.1)b(5299.3±615.9)a
2,6-Dimethylphenol44.1±19.968.3±11.863.9±17.896.5±31.8
2,4-Dimethylphenol125.4±75.4306.8±118.4158.1±65.6445.2±257.8
4-Ethylphenol14.6±13.4212.6±123.628.2±13.8271.6±162.3
3-Ethylphenol14.6±6.865.4±29.423.2±10.191.7±53.3
3,5-Dimethylphenol32.2±17.3116.0±70.442.4±16.9141.2±84.1
2,3-Dimethylphenoln.d.48.0±23.719.0±4.956.8±36.8
4-Methoxy-3-methylphenol(129.8±98.4)b(208.4±78.0)b(245.9±55.0)b(422.7±45.5)a
2-Methoxy-4-methylphenol(1466.3±691.3)b(1498.8±152.3)b(2083.1±505.5)b(3489.9±747.6)a
2,4,5-Trimethylphenoln.d.n.d.n.d.25.6±25.3
4-Ethyl-2-methoxyphenol557.5±287.8)2274.1±1316.6771.6±242.72657.6±1371.2
2-Methoxy-4-vinylphenol21.8±11.356.1±34.084.3±63.5200.4±102.7
2-Methoxy-4-propylphenol74.8±43.11067.2±920.897.6±36.2518.2±532.1
Eugenol83.0±45.292.0±77.5107.4±40.6103.5±79.3
2,6-Dimethoxyphenol351.5±143.3278.1±142.7487.9±182.1536.2±284.2
trans-Isoeugenol29.3±19.457.6±57.638.7±19.048.3±42.6
Furanoids and pyranoids
3-Ethenylpyridinen.d.n.d.n.d.184.2±46.5
Benzofurann.d.86.6±95.725.3±8.1181.0±104.9
2,4-Dimethylfuran(56.9±52.2)b(49.7±70.3)b(115.1±3.4)ab(184.9±30.2)a
2-Acetyl-5-methylfurann.d.n.d.n.d.145.9±33.4

Different lowercase letters in a row represent statistically significant differences among products at p<0.05 obtained by one-way ANOVA and LSD test

Only a few terpenes were detected in relatively low amounts (Table 3). Terpenes in dried meat products are found mainly as ingredients of added spices (17). Since the production of baranjski kulen and kulenova seka did not involve spices abundant in monoterpenes, the obtained lower amounts were expected. Similar results were obtained previously for slavonski kulen (31). The identified terpenes possibly originated from black and ground red pepper used in the production, since these spices contain moderate amounts of terpenes (17). The identified terpenes may also originate from the animal feed (32). In this study, no significant differences in terpene amounts were found among the investigated products.

Organosulphur compounds identified in this study (Table 3) most certainly originated from garlic, used as a spice in the production of baranjski kulen and kulenova seka. These compounds are produced after disruption of garlic bulb tissues, which activates the allinase enzyme to produce allicin from alliin. Allicin is then further decomposed to finally yield volatile sulphur compounds with a general formula R1–(S)n–R2. Among them, diallyl disulphide, probably a direct product of allicin degradation (33), is the most abundant volatile compound in garlic (34). Consequently, it is the most representative organosulphur compound in the volatile profile of slavonski kulen, as shown previously by Jerković et al. (31) and confirmed in this study with baranjski kulen and kulenova seka. No significant difference in the amount of diallyl disulphide was determined between industrial and traditional baranjski kulen and kulenova seka, respectively (Table 3). However, another organosulphur compound, methyl ethyl sulphide, was detected only in industrial products. In addition, volatiles derived from spices, especially compounds originating from garlic, can be subjected to oxidative degradation due to increased amounts of unsaturated fatty acids. Also, the differences between samples could originate from the differences in raw material (35). Since these parameters were not controlled in this study, their effects should be investigated in detail in the future.

Interestingly, compounds generated in the lipid degradation processes including autooxidation, mostly represented by short-chain saturated and unsaturated aldehydes, ketones and alcohols that contribute to the aroma of a sausage with rancid or oxidised sensory attributes, were barely detected. Such a result corresponded to that obtained by Jerković et al. (31), who found relatively low percentages of these compounds in the volatile profile of slavonski kulen. The authors related this to the occurrence of high concentrations of phenols and furans, which are derived from the smoking applied during curing (36,37). They act as antioxidants and therefore limit autoxidation. In this study, a higher level of heptanal was found in both industrial than in both traditional sausages. On the contrary, higher amount of n-hexadecanoic acid was found in traditional baranjski kulen and kulenova seka. It is possible that both compounds derived from lipolysis, with the increased amount of n-hexadecanoic acid in traditional sausage, probably as a direct result of increased triglyceride hydrolysis (38), and the increased amount of heptanal in industrial sausage as a consequence of the greater activity of other enzymes.

Compounds from the amino acid degradation pathway are mainly represented by phenylalanine degradation products (30), such as phenylmethanol, phenylmethanal, phenylacetaldehyde, phenyl cyanide and phenylethanol. Industrial baranjski kulen was the most abundant in phenylacetaldehyde, while industrial kulenova seka contained the highest amount of phenylmethanol. Methoxylated benzenoids identified in this study were also possibly partly derived from the oxidative and/or non-oxidative degradation of l-phenylalanine (39), however, no significant differences were observed among the products regarding their amounts. The occurrence of indane-4-carboxaldehyde was specific for industrial baranjski kulen. A tendency towards higher amounts of benzene-based compounds, such as 3,4-dimethoxytoluene, 1,4-dimethoxy-2-methylbenzene, 1,2,3-trimethoxybenzene, although without statistical significance, was noted in traditional products. These compounds are known to originate from smoke used in the production of smoke-cured meat products (40).

Benzonitrile was found only in industrial products. It is known that this and similar compounds, such as phenylacetonitrile, derive from the reaction of acids and sodium nitrite. As production of industrial baranjski kulen and kulenova seka included the addition of nitrites, preservatives added to inhibit the growth of bacteria (41), benzonitrile identification was not surprising.

Qualitatively, the most abundant group of compounds identified in the industrial and traditional baranjski kulen and kulenova seka investigated in this study were smoke-derived volatile phenols (Table 3). Among them, methoxyphenols, such as 2-methoxyphenol and 4-ethyl-2-methoxyphenol, dominated the profile. This was slightly in disagreement with the results of Jerković et al. (31), who found higher concentrations of phenol and certain methyl-substituted phenols than methoxyphenols in the volatile profile of slavonski kulen. However, the amounts of the former compounds in this study were also high. The highest amounts of phenol, 2-methylphenol, 3-methylphenol, 2-methoxyphenol, 4-methoxy-3-methylphenol and 2-methoxy-4-methylphenol were found in traditional kulenova seka. The 2,4,5-trimethylphenol was detected only in this product. Besides, a tendency towards higher amounts of particular ethyl, vinyl and propyl phenols was observed in traditional products, although without a significant difference (Table 3). It is possible that the traditional process included a higher degree of smoking than the industrial one or that the differences derived from different types of wood used. Another source of volatile phenols is enzymatic degradation by microorganisms (42), so higher amounts in traditional products could be connected to the use of smaller amounts of preservatives in their production, as suggested above. According to other authors (31,42), smoke-derived phenols exhibit low sensory threshold values that make them important contributors to slavonski kulen flavour with their woody, pungent and smoky odours.

Traditionally produced kulenova seka was characterized by the highest amount of 2,4-dimethylfuran. Benzofuran also exhibited a tendency towards the highest values in this product, while two other compounds from this group, 3-ethenylpyridine and 2-acetyl-5-methylfuran, were detected only in traditional kulenova seka (Table 3). Similarly to phenols, furans are also characteristic of wood smoke derived from cellulose, hemicellulose and lignin pyrolysis, originating mainly from the Maillard reaction (43). During smoking, these compounds are adsorbed by the sausage surface and a part of them interacts with other sausage components. A fraction that remains adsorbed on the surface but does not change chemically by the mentioned interactions is present in its headspace and contributes to the smoked sausage flavour (31). It is possible that a higher degree of smoking in the production of traditional sausage in this study was the main cause of the observed differences.

CONCLUSIONS

A comprehensive proteome and metabolome analysis provided the first insight into the molecular differences between industrially and traditionally prepared fermented sausages baranjski kulen and kulenova seka, including the differences in protein and peptide profiles, free amino acid content and aroma profiles. The results pointed to potential product type-specific quality markers for each sausage: industrial baranjski kulen – peptides originated from myosin-1 and titin, overabundance of stress-related proteins serotransferrin, glutathione S-transferase P and annexin, and the highest amount of phenylalanine; traditional baranjski kulen - low concentration of phenylalanine and overabundance of fructose-bisphosphate aldolase A and carbonic anhydrase 3; industrial kulenova seka - specific myosin-4 and haemoglobin subunit alpha degradation process; traditional kulenova seka - overabundance of dihydropyrimidine dehydrogenase [NADP(+)] and myosin light chain 1/3, skeletal muscle isoform, degradation of albumin and myoglobin, low concentrations of almost all free amino acids and increased amounts of smoke-derived volatile compounds. The main differences between industrial and traditional products are an enhanced proteolytic degradation in industrial products, detected haptoglobin, as well as benzonitrile and higher amounts of heptanal. The presented results provide important information in overcoming the challenges of the meat industry in obtaining a final product with the characteristics of a traditional product.

ACKNOWLEDGEMENTS

The authors wish to thank Ines Bertinovec, R&D Manager at PIK Vrbovec plus Ltd. meat industry, for suggestions and advice.

Notes

[1] Financial disclosure FUNDING

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

[2] Conflicts of interest CONFLICT OF INTEREST

The authors declare no conflicts of interest.

REFERENCES

1 

Sarkadi LS. Biogenic amines in fermented foods and health implications. In: Frias J, Martinez-Villaluenga C, Peñas E, editors. Fermented foods in health and disease prevention. Cambridge, UK: Academic Press; 2017. pp. 625–51. https://doi.org/10.1016/B978-0-12-802309-9.00027-3 https://doi.org/10.1016/B978-0-12-802309-9.00027-3

2 

Aro Aro JM, Nyam-Osor P, Tsuji K, Shimada KI, Fukushima M, Sekikawa M. The effect of starter cultures on proteolytic changes and amino acid content in fermented sausages. Food Chem. 2010;119(1):279–85. https://doi.org/10.1016/j.foodchem.2009.06.025

3 

Franciosa I, Alessandria V, Dolci P, Rantsiou K, Cocolin L. Sausage fermentation and starter cultures in the era of molecular biology methods. Int J Food Microbiol. 2018;279:26–32. https://doi.org/10.1016/j.ijfoodmicro.2018.04.038 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/29723706

4 

Hughes MC, Kerry JP, Arendt EK, Kenneally PM, McSweeney PLH, O’Neill EE. Characterization of proteolysis during the ripening of semi-dry fermented sausages. Meat Sci. 2002;62(2):205–16. https://doi.org/10.1016/S0309-1740(01)00248-0 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/22061413

5 

Zhou CY, Pan DD, Cao JX, Zhou GH. A comprehensive review on molecular mechanism of defective dry‐cured ham with excessive pastiness, adhesiveness, and bitterness by proteomics insights. Compr Rev Food Sci Food Saf. 2021;20(4):3838–57. https://doi.org/10.1111/1541-4337.12779 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/34118135

6 

Berardo A, Devreese B, De Maere H, Stavropoulou DA, Van Royen G, Leroy F, et al. Actin proteolysis during ripening of dry fermented sausages at different pH values. Food Chem. 2017;221:1322–32. https://doi.org/10.1016/j.foodchem.2016.11.023 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/27979096

7 

López CM, Sentandreu MA, Vignolo GM, Fadda SG. Proteomic and peptidomic insights on myofibrillar protein hydrolysis in a sausage model during fermentation with autochthonous starter cultures. Food Res Int. 2015;78:41–9. https://doi.org/10.1016/j.foodres.2015.11.009 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/28433309

8 

Čuboň J, Cviková P, Peter H, Miroslava K, Simona K, Lukáš H, et al. The proteins degradation in dry cured meat and methods of analysis: A review. J Microbiol Biotechnol Food Sci. 2017;7(2):209–20. https://doi.org/10.15414/jmbfs.2017.7.2.209-220

9 

Kušec G. The product specification of baranjski kulen, protected geographical indication (PGI). Osijek, Croatia: Baranja Kulen Producers' Association; 2014. Available from:https://poljoprivreda.gov.hr/UserDocsImages/arhiva/datastore/filestore/102/Izmijenjena_Specifikacija_proizvoda_Baranjski_kulen.pdf (in Croatian).

10 

Butorac A, Dodig I, Bačun-Družina V, Tishbee A, Mrvčić J, Hock K, et al. The effect of starvation stress on Lactobacillus brevis L62 protein profile determined by de novo sequencing in positive and negative mass spectrometry ion mode. Rapid Commun Mass Spectrom. 2013;27(9):1045–54. https://doi.org/10.1002/rcm.6528 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/23592208

11 

Discovery Series PDQuest 2-DE analysis software, v. 7.4.0, Bio-Rad, Hercules, CA, USA; 2016. Available from:https://www.bio-rad.com/product/pdquest-2-d-analysis-software.

12 

Shevchenko A, Wilm M, Vorm O, Mann M. Mass spectrometric sequencing of proteins from silver-stained polyacrylamide gels. Anal Chem. 1996;68(5):850–8. https://doi.org/10.1021/ac950914h PubMed: http://www.ncbi.nlm.nih.gov/pubmed/8779443

13 

FlexControl, v. 3.4, Bruker Daltonik GmbH, Bremen, Germany; 2015.

14 

Chamrad DC, Blueggel M, Koerting G, Glandorf J, Vagts J, Hufnagel P, et al. P5-M proteinscape – Software platform for managing proteomics data. J Biomol Tech. 2007;18(1):2–3.

15 

Bairoch A, Apweiler R. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Res. 2000;28(1):45–8. https://doi.org/10.1093/nar/28.1.45 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/10592178

16 

The Gene Ontology Consortium. The Gene Ontology resource: Enriching a GOld mine. Nucleic Acids Res. 2021;49(D1):D325–34. https://doi.org/10.1093/nar/gkaa1113 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/33290552

17 

Ma QL, Hamid N, Bekhit AED, Robertson J, Law TF. Evaluation of pre-rigor injection of beef with proteases on cooked meat volatile profile after 1day and 21days post-mortem storage. Meat Sci. 2012;92(4):430–9. https://doi.org/10.1016/j.meatsci.2012.05.006 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/22682685

18 

NIST/EPA 7/NIH Mass Spectral Library, NIST v17, v. 2.2. Gaithersburg, MD, USA: National Institute of Standards and Technology; 2014. Available from:https://www.nist.gov/srd/nist-standard-reference-database-1a-v17.

19 

Statistica, v. 13.2, StatSoft Inc, Tulsa, OK, USA; 2017. Available from:https://statistica.software.informer.com/13.2/.

20 

Person MD, Shen J, Traner A, Hensley SC, Lo HH, Abbruzzese JL, et al. Protein fragment domains identified using 2D gel electrophoresis/MALDI-TOF. J Biomol Tech. 2006;17(2):145–56. PubMed: http://www.ncbi.nlm.nih.gov/pubmed/16741242

21 

Gallego M, Mora L, Fraser PD, Aristoy MC, Toldrá F. Degradation of LIM domain-binding protein three during processing of Spanish dry-cured ham. Food Chem. 2014;149:121–8. https://doi.org/10.1016/j.foodchem.2013.10.076 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/24295685

22 

Gallego M, Mora L, Escudero E, Toldrá F. Bioactive peptides and free amino acids profiles in different types of European dry-fermented sausages. Int J Food Microbiol. 2018;276:71–8. https://doi.org/10.1016/j.ijfoodmicro.2018.04.009 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/29674143

23 

Fadda S, López C, Vignolo G. Role of lactic acid bacteria during meat conditioning and fermentation: Peptides generated as sensorial and hygienic biomarkers. Meat Sci. 2010;86(1):66–79. https://doi.org/10.1016/j.meatsci.2010.04.023 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/20619799

24 

Rosa AF, Moncau CT, Poleti MD, Fonseca LD, Balieiro JC, Silva SL, et al. Proteome changes of beef in Nellore cattle with different genotypes for tenderness. Meat Sci. 2018;138:1–9. https://doi.org/10.1016/j.meatsci.2017.12.006 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/29289712

25 

Mora L, Calvo L, Escudero E, Toldrá F. Differences in pig genotypes influence the generation of peptides in dry-cured ham processing. Food Res Int. 2016;86:74–82. https://doi.org/10.1016/j.foodres.2016.04.023

26 

Picariello G, De Martino A, Mamone G, Ferranti P, Addeo F, Faccia M, et al. Proteomic study of muscle sarcoplasmic proteins using AUT-PAGE/SDS-PAGE as two-dimensional gel electrophoresis. J Chromatogr B Analyt Technol Biomed Life Sci. 2006;833(1):101–8. https://doi.org/10.1016/j.jchromb.2006.01.024 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/16503425

27 

Montowska M, Pospiech E. Species-specific expression of various proteins in meat tissue: proteomic analysis of raw and cooked meat and meat products made from beef, pork and selected poultry species. Food Chem. 2013;136(3-4):1461–9. https://doi.org/10.1016/j.foodchem.2012.09.072 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/23194549

28 

Piñeiro C, Piñeiro M, Morales J, Andrés M, Lorenzo E, Del Pozo M, et al. Pig-MAP and haptoglobin concentration reference values in swine from commercial farms. Vet J. 2009;179(1):78–84. https://doi.org/10.1016/j.tvjl.2007.08.010 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/17911038

29 

Leggio A, Belsito EL, Marco RD, Di Gioia ML, Liguori A, Siciliano C, et al. Dry fermented sausages of southern Italy: A comparison of free amino acids and biogenic amines between industrial and homemade products. J Food Sci. 2012;77(4):S170–5. https://doi.org/10.1111/j.1750-3841.2012.02650.x PubMed: http://www.ncbi.nlm.nih.gov/pubmed/22515254

30 

Hidalgo FJ, Zamora R. Strecker-type degradation produced by the lipid oxidation products 4,5-epoxy-2-alkenals. J Agric Food Chem. 2004;52(23):7126–31. https://doi.org/10.1021/jf048883r PubMed: http://www.ncbi.nlm.nih.gov/pubmed/15537327

31 

Jerković I, Kovačević D, Šubarić D, Marijanović Z, Mastanjević K, Suman K. Authentication study of volatile flavour compounds composition in Slavonian traditional dry fermented salami “kulen”. Food Chem. 2010;119(2):813–22. https://doi.org/10.1016/j.foodchem.2009.07.024

32 

Muriel E, Antequera T, Petrón MJ, Martín D, Ruiz J. Volatile compounds on the surface and within Iberian dry-cured loin. Eur Food Res Technol. 2004;219(5):445–51. https://doi.org/10.1007/s00217-004-0987-1

33 

Kimbaris AC, Siatis NG, Daferera DJ, Tarantilis PA, Pappas CS, Polissiou MG. Comparison of distillation and ultrasound-assisted extraction methods for the isolation of sensitive aroma compounds from garlic (Allium sativum). Ultrason Sonochem. 2006;13(1):54–60. https://doi.org/10.1016/j.ultsonch.2004.12.003 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/16223688

34 

Bažon I, Lukić I, Ban D, Horvat I, Prekalj B, Goreta Ban S. Impact of harvest date on the content of volatile components in garlic. J Cent Eur Agric. 2020;21(2):333–7. https://doi.org/10.5513/JCEA01/21.2.2728

35 

Škrlep M, Čandek-Potokar M, Tomažin U, Batorek Lukač N, Flores M. Properties and aromatic profile of dry-fermented sausages produced from Krškopolje pigs reared under organic and conventional rearing regime. Animal. 2018;12(6):1316–23. https://doi.org/10.1017/S1751731117002713 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/29070093

36 

Maga JA. The flavour chemistry of wood smoke. Food Rev Int. 1987;3(1–2):139–83. https://doi.org/10.1080/87559128709540810

37 

Toth L, Potthast K. Chemical aspects of the smoking of meat and meat products. Adv Food Nutr Res. 1984;29:87–158. https://doi.org/10.1016/S0065-2628(08)60056-7

38 

Moltiva MJ, Toldrà F, Nieto P, Flores J. Muscle lipolysis phenomena in the processing of dry-cured ham. Food Chem. 1993;48(2):121–5. https://doi.org/10.1016/0308-8146(93)90045-H

39 

Lapadatescu C, Giniés C, Le Quéré JL, Bonnarme P. Novel scheme for biosynthesis of aryl metabolites from l-phenylalanine in the fungus Bjerkandera adusta. Appl Environ Microbiol. 2000;66(4):1517–22. https://doi.org/10.1128/AEM.66.4.1517-1522.2000 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/10742235

40 

Pu D, Zhang Y, Zhang H, Sun B, Ren F, Chen H, et al. Characterization of the key aroma compounds in traditional Hunan smoke-cured pork leg (Larou, THSL) by aroma extract dilution analysis (AEDA), odor activity value (OAV), and sensory evaluation experiments. Foods. 2020;9(4):413. https://doi.org/10.3390/foods9040413 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/32252248

41 

NIIR Board of Consultants and Engineers. Preservation of meat and poultry products. New Delhi, India: Asia Pacific Business Press Inc; 2005.

42 

Hitzel A, Pöhlmann M, Schwägele F, Speer K, Jira W. Polycyclic aromatic hydrocarbons (PAH) and phenolic substances in meat products smoked with different types of wood and smoking spices. Food Chem. 2013;139(1–4):955–62. https://doi.org/10.1016/j.foodchem.2013.02.011 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/23561196

43 

Diez-Simon C, Mumm R, Hall RD. Mass spectrometry-based metabolomics of volatiles as a new tool for understanding aroma and flavour chemistry in processed food products. Metabolomics. 2019;15(3):41. https://doi.org/10.1007/s11306-019-1493-6 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/30868334


This display is generated from NISO JATS XML with jats-html.xsl. The XSLT engine is libxslt.