Italian Protected Designation Of Origin Research Articles

Volatile compounds, gamma-glutamyl-peptides and free amino acids as biomarkers of long-ripened protected designation of origin Coppa Piacentina

Coppa Piacentina is an Italian protected designation of origin (PDO) dry-cured product obtained from the muscle of pork neck and ripened for at least six months. Metabolomics- and volatilomics-based strategies, combined with a chemical characterization of free amino acids were applied to identify biomarkers of long-ripened Coppa Piacentina PDO. Long ripening induced a significantly increase of total free amino acids, mainly represented by glutamic acid, involved in the umami taste perception. Untargeted metabolomics, performed using UHPLC-HRMS, allowed to identify 32 putative gamma-glutamyl-peptides, known as main contributors to the kokumi taste. Unsupervised and supervised multivariate statistics observed a clear modification of these peptides over the ripening, with gamma-glutamyl-peptides which significantly increased in long-ripened samples. A volatilomics-based strategy, conducted with GCxGC-MS, was then performed, and 93 different compounds were identified, with aldehyde and ketones deriving from the lipid auto-oxidation which increased according to ripening.

Assessment of residual plant DNA in bulk milk for Grana Padano PDO production by a metabarcoding approach.

The aim of this study was to evaluate the ability of DNA metabarcoding, by rbcl as barcode marker, to identify and classify the small traces of plant DNA isolated from raw milk used to produce Grana Padano (GP) cheese. GP is one of the most popular Italian PDO (Protected Designation of Origin) produced in Italy in accordance with the GP PDO specification rules that define which forage can be used for feeding cows. A total of 42 GP bulk tank milk samples were collected from 14 dairies located in the Grana Padano production area. For the taxonomic classification, a local database with the rbcL sequences available in NCBI on September 2020/March 2021 for the Italian flora was generated. A total of 8,399,591 reads were produced with an average of 204,868 per sample (range 37,002-408,724) resulting in 16, 31 and 28 dominant OTUs at family, genus and species level, respectively. The taxonomic analysis of plant species in milk samples identified 7 families, 14 genera and 14 species, the statistical analysis conducted using alpha and beta diversity approaches, did not highlight differences among the investigated samples. However, the milk samples are featured by a high plant variability and the lack of differences at multiple taxonomic levels could be due to the standardisation of the feed rationing, as requested by the GP rules. The results suggest that DNA metabarcoding is a valuable resource to explore plant DNA traces in a complex matrix such as milk.

Genome-wide scan reveals genetic divergence in Italian Holstein cows bred within PDO cheese production chains

Dairy cattle breeds have been exposed to intense artificial selection for milk production traits over the last fifty years. In Italy, where over 80% of milk is processed into cheese, selection has also focused on cheese-making traits. Due to a deep-rooted tradition in cheese-making, currently fifty Italian cheeses are marked with the Protected Designation of Origin (PDO) label as they proved traditional land of origin and procedures for milk transformation. This study aimed to explore from a genetic point of view if the presence of such diverse productive contexts in Italy have shaped in a different manner the genome of animals originally belonging to a same breed. We analyzed high density genotype data from 1000 Italian Holstein cows born between 2014 and 2018. Those animals were either farmed in one of four Italian PDO consortia or used for drinkable milk production only. Runs of Homozygosity, Bayesian Information Criterion and Discriminant Analysis of Principal Components were used to evaluate potential signs of genetic divergence within the breed. We showed that the analyzed Italian Holstein cows have genomic inbreeding level above 5% in all subgroups, reflecting the presence of ongoing artificial selection in the breed. Our study provided a comprehensive representation of the genetic structure of the Italian Holstein breed, highlighting the presence of potential genetic subgroups due to divergent dairy farming systems. This study can be used to further investigate genetic variants underlying adaptation traits in these subgroups, which in turn might be used to design more specialized breeding programs.

Pre-Slaughter Sources of Fresh Meat Quality Variation: The Case of Heavy Pigs Intended for Protected Designation of Origin Products.

Simple SummaryThis study aimed at investigating which pre-slaughter parameters determine variations in the quality of the loin derived from pigs intended for Italian PDO (Protected Designation of Origin) products. Data were collected on 44 commercial shipments of Italian heavy pigs. Meat quality parameters (pH, color lightness, drip loss, cooking loss, and shear force) identified two clusters: ‘Higher Quality’ (HQ) and ‘Lower Quality’ (LQ). The parameters which differed more widely between the two clusters were journey duration, ambient temperature, distance traveled and irregular behaviors (slipping, falling, and overlapping) at unloading. Among the pre slaughter parameters which negatively affect pork quality, consideration should be given to ambient temperatures above 22 °C, distance traveled above 26 km, travel duration between 38 and 66 min, and more than 5.9% of animals showing irregular behaviors at unloading. Journeys involving one or more of these risk factors may require additional attention in terms of animal welfare in order to obtain meat suitable for high-quality productions.This study focused on loin quality in Italian heavy pigs intended for the production of PDOs (Protected Designation of Origin) products, and investigated the pre-slaughter factors which negatively affect the quality of fresh meat. Data were collected on 44 shipments (loads) of pigs. Shipments were carried out under commercial conditions. Several pre-slaughter parameters were recorded within the entire process (on-farm, during transport, and at the slaughterhouse). On a subset of pigs (10 animals from every load, N = 440), serum cortisol and creatine kinase were measured and loin samples were analyzed for pH, instrumental color, drip loss, cooking loss, shear force, and sensory quality. Cluster analysis of the instrumentally-assessed meat quality parameters allowed the categorization of the shipments into two clusters: lower quality (LQ) and higher quality (HQ). Our results showed that the factors with significant differences between the two clusters were journey duration, ambient temperature, distance traveled, and irregular behaviors (slipping, falling, and overlapping) at unloading (all greater in LQ, p < 0.05). The pre-slaughter conditions associated with lower loin quality were ambient temperatures above 22 °C, distance traveled above 26 km, travel duration between 38–66 min, more than 5.9% of animals showing irregular behaviors at unloading.

Sustainability assessment in the food supply chain: study of a certified product in Italy

The assessment of sustainability practices in the supply chain involves not only defining the measures or indicators, but also implementing, using and updating them according to driving elements that motivate companies to opt for sustainability. The aims in this study are to investigate if, how and why firms in different stages of the food supply chain assess their sustainability, and the alignment of the supply chain sustainability (SCS) assessment with the SCS practices and drivers. This paper studies the case of Grana Padano cheese, one of the major Italian PDO (protected designation of origin) products. The case comprises eight companies in the main three supply chain stages; plus, the Consortium that manages the PDO label. The Grana Padano supply chain opts mainly for a loose-coupled approach in their SCS performance management. The study contributes to the SCS literature by providing a typology of assessment approaches, in terms of alignment among drivers, practices and measures, and provides insights for understanding the reasons why companies adopt a certain approach.

NMR Studies on Italian PDO Olive Oils and their Potential in Olive‐Tree‐Derived Products Characterization

In Italy, 42 PDO extra virgin olive oil (EVOOs) are present to date, with the chronologically first one registered in late 1996. PDO EVOOs are broadly distributed along Italy with a higher concentration in the central and southern regions due to the optimal pedoclimatic conditions for olive growth (Olea europaea L.). In this review, NMR (nuclear magnetic resonance) studies focused on Italian PDO EVOOs and the application of NMR spectroscopy in the analysis of other olive‐tree‐derived products are reported. NMR is historically known as the principal analytical technique useful for structural characterization of single molecule in solution. In the past few years, NMR evolved to cover a pivotal role for the analysis of different chemical compounds present in a mixture, without the need of any chemical derivatization of sample. Concerning the 1H NMR spectrum of a typical EVOO sample, the dominant signals due to acylglycerols, together with other minor components like aldehydes, sterols, and terpens, can be characterized within a single experiment in the organic extract of olive oil. The minor component content is particularly interesting because it allows for geographical origin discrimination and cultivar discrimination. Other products derived from the olive tree and investigated by NMR have also been discussed, specifically, table olives, pomace, and olive paste.Practical Applications: The studies here highlight the capability of NMR in discriminating Italian PDO EVOOs from EVOOs of other countries, Italian PDO EVOOs of different restricted area within the same Italian region, and EVOOs obtained from different cultivars. In addition, NMR spectroscopy allows the evaluation of chemical constituents in olive‐tree‐derived products like olive paste, pomace, and wastewater, detecting bioactive compounds. Therefore the NMR approach could be practically applied in the study of EVOO and olive‐tree‐derived products by control agencies, regulatory authorities, for the disclosure of new fraud practices and to protect PDO products. Practical applications could also involve the search of olive‐tree‐based bioactive compounds for their potential use as nutraceuticals.Nuclear magnetic resonance spectroscopy (NMR) is used to discriminate Italian Protected Designation of Origin (PDO) extra‐virgin olive oils (EVOOs) from EVOOs of other countries, Italian PDO EVOOs of different restricted area within the same Italian region, and EVOOs obtained from different cultivars. The chemical constituents of olive‐tree‐derived products are also determined. Results strongly support the use of NMR by control agencies and regulatory authorities.

Randomized, double blind placebo-controlled pilot study of the antihypertensive effects of Grana Padano D.O.P. cheese consumption in mild - moderate hypertensive subjects.

Grana Padano, an Italian protected designation of origin (PDO) semi-fat cheese, undergoes a long ripening period during which the proteolysis carried out by natural starter lactic acid bacteria releases peptides having sustained angiotensin-converting enzyme (ACE)-inhibitory activity. The length (generally 3-8 amino acid residues) and the sequence of these peptides are responsible for their ability to elicit ACE-inhibitory activity. The aim of this study has been the evaluation of the effect of a daily dietary supplement consisting in a small amount (30 g/day) of Grana Padano cheese, in terms of the lowering of the blood pressure (BP) of mild-moderate hypertensive subjects. Thirty mild-moderate hypertensive patients, with BP values not on target (> 140 and/or > 90 mmHg) after at least 3 months of stable treatment were considered in this randomized, double-blind placebo-controlled cross-over study. All patients randomly received a dietary integration (30 g/day) of Grana Padano cheese or a placebo (made from flavored grated bread mixed with fats and salts in concentrations equal to those of the cheese). BP was evaluated at baseline and at the end of the active and placebo treatments (2 months each) by: - Office BP (OBP); - Automated Office BP (AOBP) using the BpTRU®, an automated oscillometric device that provides the average of multiple (n=6) blood pressure measurements; - Ambulatory Blood Pressure (ABP) 24 hour monitoring. Dietary integration with Grana Padano cheese resulted in a significant decrease in Office, Automated Office and Ambulatory BP. The mean decrease (vs. placebo) for 24-hour ABP was -3.5 mmHg for systolic and -2.4 mmHg for diastolic BP (p = 0.0063 and p = 0.0065, respectively). Daily dietary integration with 30 g of Grana Padano DOP cheese effectively reduces BP and may help mild-to-moderate hypertensive patients to reach a target BP.

Authentication of an Italian PDO hazelnut ("Nocciola Romana") by NIR spectroscopy.

Common hazelnuts are widely present in human diet all over the world, and their beneficial effects on the health have been extensively investigated and demonstrated. Different in-depth researches have highlighted that the harvesting area can define small variations in the chemical composition of the fruits, affecting their quality. As a consequence, it has become relevant to develop methodologies which would allow authenticating and tracing hazelnuts. In the light of this, the present work aims to develop a non-destructive method for the authentication of a specific high-quality Italian hazelnut, "Nocciola Romana," registered with a protected designation of origin (PDO). Thus, different samples of this fruit have been analyzed by near-infrared (NIR) spectroscopy and then classification models have been built, in order to distinguish between the PDO fruits and the hazelnuts not coming from the designated region. In particular, two different classification approaches have been tested, a discriminant one, partial least squares-discriminant analysis, and a class-modeling one, soft independent modeling of class analogies. Both methods led to very high prediction capability in external validation on a test set (classification accuracy in one case, and sensitivity and specificity in the other, all higher than 92%), suggesting that the proposed methodologies are suitable for a rapid and non-destructive authentication of the product.

Geographic context of the Green Pistachio of Bronte, a protected designation of origin product

ABSTRACTThe Green Pistachio of Bronte is an Italian protected designation of origin (PDO) product that was officially recognized by the European Union in 2010. These pistachios are grown on Mt Etna's western slope in a specific area of thin volcanic soils and rugged terrain that inhibits the use of mechanized agriculture. Bronte pistachios are known for their distinct flavor, bright green color, and unique organoleptic properties that are intimately linked to their place of origin. They are highly prized in the food industry and can sell for more than double the price of other pistachios on the global market. Mapping landscapes that give rise to specialty food products like the Green Pistachio of Bronte facilitate understanding of the connections between food, culture, and environment within a specific geographic context. Mt Etna's powerful presence in the landscape adds to the unique characteristics of this product and its place of origin.

The environmental analysis of asiago PDO cheese: a case study from farm gate-to-plant gate

A farm gate-to-plant gate life cycle assessment was performed to estimate the environmental impact of Asiago Protected Designation of Origin (PDO) cheese, the fourth most produced Italian PDO cheese. One manufacturing plant were surveyed for primary data. Emphasis was given to manufacturing processes, wherein environmental hotspots were identified. However the farm phase was discussed in order to obtain a clear prospect of Asiago cheese production. Inputs and outputs at the plant, such as cheese ingredients, fuels, electricity, water, cleaning agents, packaging, waste, and associated transport were included. Asiago cheese was the main product and co-products were other cheeses and liquid whey. Raw milk, other materials and energy flows were allocated using economic allocation strategy, while salt was attributed using plant specific information. Scenario analysis was about allocation strategies and time of cheese aging. SimaPro© 8.1.1 was the modelling software. Ecoinvent® v3.1 database was used for upstream processes. Climate change and energy consumption per kg of Asiago cheese was 10.1 kg CO2-eq and 70.2 MJ, respectively. Uncertainty analysis gave 95% confidence interval of 6.2–17.5 kg CO2-eq and 41.8–115 MJ per kg of Asiago cheese. The main impact driver was raw milk production. At the plant, electricity and fuels usage, refrigerants, packaging and wastewater treatment had the highest contribution to the overall impacts, except for fresh water eutrophication where wastewater treatment had the largest impact. Energy and fuel consumption were the crucial “hot spots” to focus on for efficiency and mitigation procedures at plant.

Authentication of Italian PDO lard using NIR spectroscopy, volatile profile and fatty acid composition combined with chemometrics

This study analysed the usefulness of near infrared spectroscopy (NIRS), combined with volatile compound (VOC) and fatty acid (FA) analyses, for the authentication of the unique Italian Valle d’Aosta Arnad Protected Designation of Origin (PDO) lard. Ensuring the authenticity of high value meat products remains an emerging topic within the food sector. This study validated a FA, VOC and NIRS model for use in the authentication of Arnad PDO lard. The model showed a high potential rate to recognize patterns in lard samples. In particular the sensitivity and specificity calibration values were both 100%, and cross-validation models were performed using FAs and VOCs separately. The NIRS model obtained sensitivity and specificity values of 98.2% in the calibration data set, and 94.4% in the cross-validation step. This analytical approach may represent an effective tool to prevent food fraud, which is crucial for meat derived products with a high commercial value.

Spatial Distribution of the Metabolically Active Microbiota within Italian PDO Ewes' Milk Cheeses.

Italian PDO (Protected Designation of Origin) Fiore Sardo (FS), Pecorino Siciliano (PS) and Pecorino Toscano (PT) ewes’ milk cheeses were chosen as hard cheese model systems to investigate the spatial distribution of the metabolically active microbiota and the related effects on proteolysis and synthesis of volatile components (VOC). Cheese slices were divided in nine sub-blocks, each one separately subjected to analysis and compared to whole cheese slice (control). Gradients for moisture, and concentrations of salt, fat and protein distinguished sub-blocks, while the cell density of the main microbial groups did not differ. Secondary proteolysis differed between sub-blocks of each cheese, especially when the number and area of hydrophilic and hydrophobic peptide peaks were assessed. The concentration of free amino acids (FAA) agreed with these data. As determined through Purge and Trap (PT) coupled with Gas Chromatography-Mass Spectrometry (PT-GC/MS), and regardless of the cheese variety, the profile with the lowest level of VOC was restricted to the region identified by the letter E defined as core. As shown through pyrosequencing of the 16S rRNA targeting RNA, the spatial distribution of the metabolically active microbiota agreed with the VOC distribution. Differences were highlighted between core and the rest of the cheese. Top and bottom under rind sub-blocks of all three cheeses harbored the widest biodiversity.The cheese sub-block analysis revealed the presence of a microbiota statistically correlated with secondary proteolysis events and/or synthesis of VOC.

Proteolytic resistance of actin but not of myosin heavy chain during processing of Italian PDO (protected designation of origin) dry-cured hams

Proteomics is the approach of choice to study the fate of specific proteins, and it is very useful in identifying quality molecular markers. A combination of immunochemical and mass spectrometry analysis was used to assess the occurrence of proteolytic changes of actin and myosin heavy chain (MHC) proteins in pig biceps femoris skeletal muscle during processing of three Italian PDO dry-cured hams. Early post-mortem muscle displayed low levels of actin and myosin fragments. In spite of a high proteolysis index and the presence of active cathepsin D until the final ripening phase, during dry-cured ham processing, very low actin proteolysis and no generation of fragments from α-skeletal muscle isoform were found, while the identified fragments derived mainly from the cardiac actin isoform. On the other hand, MHC showed a remarkable degradation of its catalytic head, generating a C-terminal 135-kDa fragment. Based on its ability to interact with actin in vitro, this MHC fragment might have a role in stabilisation of actin. In conclusion, these results suggest that maintenance of skeletal muscle α-actin could reflect limited dismantling of the sarcomeric structure and be a useful marker to monitor the events that result in the typical texture of dry-cured ham.

Effect of replacing corn with hulled and hulless or low-amylose hulless barley varieties on growth performance and carcass quality of Italian growing-finishing pig1

A study was conducted to evaluate the effect of diets based on hulled or hulless (normal- and low-amylose) barley varieties on growth performance and carcass characteristics in heavy growing-finishing pigs for the production of protected designation of origin (PDO) Italian products. The study was performed with 40 gilts and 40 barrows (Italian Duroc × Italian Large White). Four diets were formulated: 1) corn-based diet (control), 2) control diet with 80% of a normal-amylose hulled barley variety named Cometa (Cometa), 3) control diet with 80% of a normal-amylose hulless barley variety named Astartis (Astartis), and 4) control diet with 80% of a low-amylose hulless barley variety named Alamo (Alamo). The diets were formulated according to 3 growth phases (P1, 40 to 80 kg BW; P2, 80 to 120 kg BW; and P3, 120 to 170 kg BW), with the same Lys:DE ratio (2.60, 2.20, and 1.80, respectively in P1, P2, and P3) according to the NRC requirements for P1 and P2 and according to requirements for high-performing pigs for P3. The diets were analyzed for their in vitro starch digestion potentials (predicted glycemic index, pGI) and for their resistant starch (RS) contents. In P1, P2, and P3, the Alamo diet had the numerically lowest RS contents and greatest pGI values, whereas the control diet had the numerically greatest RS contents and the lowest pGI values. Throughout the study, the pigs fed Cometa and Alamo diets grew faster (P < 0.01) than those fed the control diet, whereas pigs receiving Astartis diet grew in a similar manner to those receiving all the other diets. Pigs fed Cometa and Alamo achieved greater final BW (P < 0.01) compared with those fed the control diet. The pigs receiving the Astartis diet had a mean final BW similar to that of the pigs fed other diets. Throughout the study, the control group had a lower grams per megacalorie DE (P < 0.01) compared with the pigs fed diets with barley, whereas the gain per megacalorie of DE (G/Mcal DE) was greater (P < 0.01) for the pigs fed hulled barley compared with the pig fed hulless barleys. No difference in carcass characteristics was found among treatments (P > 0.05). This study showed that diets based both on hulled and hulless barley might be suitable for the heavy pig breeding intended to the production of Italian PDO products. In addition, hulled or low-amylose hulless barley could be valuable to support maximum pig growth performance without affecting carcass composition.

NMR investigations for a quality assessment of Italian PDO saffron (Crocus sativus L.)

High-resolution NMR spectroscopy was employed to analyze Italian Protected Designation of Origin (PDO) saffron from L'Aquila, S. Gimignano and Sardinia and commercial saffron samples available on the Italian market. An extensive resonance assignment of DMSO saffron extract was reported, including glucose and gentiobiose in bound and unbound form for the first time. A multivariate statistical analysis of NMR data led to a clustering of samples by performing unsupervised PCA. OPLS-DA model was successively performed to highlight the markers responsible for this discrimination. An analysis of the corresponding S-plot indicated that picrocrocin and crocins were the most relevant compounds for characterizing Italian PDO saffron. By contrast, commercial saffron barely contained these characteristic compounds, and they were primarily enriched in fatty acids.

Genome Sequences of Streptococcus thermophilus Strains MTH17CL396 and M17PTZA496 from Fontina, an Italian PDO Cheese

Here is presented the whole-genome sequences of Streptococcus thermophilus strains MTH17CL396 and M17PTZA496, isolated from fontina protected designation of origin (PDO) cheese in the Valle d’Aosta Region (Italy). S. thermophilus is a lactic acid bacterium widely present in dairy products, and these are the first publicly available genome sequences of S. thermophilus strains isolated from cheese.

Quality uncertainty and allocation of decision rights in the European protected designation of origin

The paper considers some issue in the governance of the European Protected Designation of Origin (PDO). The PDO systems are the outcomes of both farmers and consumers expectations and connect the valorisation of the agricultural and rural resources of given territories to the quality of typical products. A critical point in the governance of the PDO systems is represented by the connection between the quality strategies and the uncertainty. The paper argues that the PDO systems can be thought of as strictly coordinated subsystems in which the ex post governance play a critical role in coping with quality uncertainty. The study suggests that the society's inducements given raise to complex organizational systems in which the allocation of decision rights to PDO collective organizations play a major role. The empirical analysis is carried out by examining ten Italian PDO systems in order to identify the decision rights allocated.

Effects of a soybean-free diet supplied to Italian heavy pigs on fattening performance, and meat and dry-cured ham quality

The aim of this study was to investigate the effects of a diet containing non-conventional (i.e. alternative to soybean meal) vegetable protein sources on fattening performance, and meat and dry-cured ham quality of heavy pigs. Fifty-six (Landrace x Large White) castrated males with an initial average body weight of 50 kg were allocated to two experimental groups: a control group in which pigs received a traditional soybean meal-based diet, and a treatment group in which soybean meal was replaced by vegetable protein sources (i.e. sunflower meal, potato protein, corn gluten feed, faba beans and dehydrated alfalfa meal), mainly locally grown and not genetically modified. Pigs were slaughtered at approximately 160 kg body weight. Dietary treatment had no significant effect on fattening performance, or meat, fat or dry-cured ham properties. Results suggest that it is possible to feed heavy pigs a soybean-free diet without impairing fattening performance or the quality of meat and Italian PDO (Protected Designation of Origin) hams.

Characterisation of PDO olive oil Chianti Classico by non-selective (UV–visible, NIR and MIR spectroscopy) and selective (fatty acid composition) analytical techniques

An authentication study of the Italian PDO (protected designation of origin) extra virgin olive oil Chianti Classico was performed; UV–visible (UV–vis), Near-Infrared (NIR) and Mid-Infrared (MIR) spectroscopies were applied to a set of samples representative of the whole Chianti Classico production area. The non-selective signals (fingerprints) provided by the three spectroscopic techniques were utilised both individually and jointly, after fusion of the respective profile vectors, in order to build a model for the Chianti Classico PDO olive oil. Moreover, these results were compared with those obtained by the gas chromatographic determination of the fatty acids composition. In order to characterise the olive oils produced in the Chianti Classico PDO area, UNEQ (unequal class models) and SIMCA (soft independent modelling of class analogy) were employed both on the MIR, NIR and UV–vis spectra, individually and jointly, and on the fatty acid composition. Finally, PLS (partial least square) regression was applied on the UV–vis, NIR and MIR spectra, in order to predict the content of oleic and linoleic acids in the extra virgin olive oils. UNEQ, SIMCA and PLS were performed after selection of the relevant predictors, in order to increase the efficiency of both classification and regression models. The non-selective information obtained from UV–vis, NIR and MIR spectroscopy allowed to build reliable models for checking the authenticity of the Italian PDO extra virgin olive oil Chianti Classico.

Comparison between classical and innovative class-modelling techniques for the characterisation of a PDO olive oil

An authentication study of the Italian PDO (protected designation of origin) olive oil Chianti Classico, based on near-infrared and UV-Visible spectroscopy, an artificial nose and an artificial tongue, with a set of samples representative of the whole Chianti Classico production and a considerable number of samples from a close production area (Maremma) was performed. The non-specific signals provided by the four fingerprinting analytical techniques, after a proper pre-processing, were used for building class models for Chianti Classico oils. The outcomes of classical class-modelling techniques like soft independent modelling of class analogy and quadratic discriminant analysis-unequal dispersed classes were compared with those of two techniques recently introduced into Chemometrics: multivariate range modelling and CAIMAN analogues modelling methods.