Building of prediction models by using Mid-Infrared spectroscopy and fatty acid profile to discriminate the geographical origin of sheep milk

Caredda, Marco; Addis, Margherita; Ibba, Ignazio; Leardi, Riccardo; Scintu, Maria Francesca; Piredda, Giovanni; Sanna, Gavino

doi:10.1016/j.lwt.2016.08.053

Cited by 34 publications

(23 citation statements)

References 23 publications

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“…The element analysis is usually considered to be an effective tool, because plants can absorb the mineral elements from the soil and thus there is an association to some extent between the contents of mineral elements in environment and their accumulation degree in crops 17 , 18 . The method of element analysis has been applied for geographical origin assignment of some farm products such as wine 19 , honey 20 , mutton 21 , sheep milk 22 , 23 , Chinese cabbage 24 , 25 , tea 6 , coffee 4 , wheat 26 , 27 , and other crops 28 as well as some aquatic products 29 , 30 with different degrees of success. Besides, some organic compounds or physicochemical parameters (color, diastase activity, electrical conductivity, total antioxidant activity, etc.)…”

Section: Discussionmentioning

confidence: 99%

“…Besides, some organic compounds or physicochemical parameters (color, diastase activity, electrical conductivity, total antioxidant activity, etc.) have also been used to determine the geographical origin of some food and agricultural products 23 , 31 – 33 . Amino acids are important components of foods, and they contributed directly to the taste of foods and color when heating foods.…”

Section: Discussionmentioning

confidence: 99%

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Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins

Qiang

2017

Sci Rep

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This study aimed to establish a method for distinguishing the geographical origin of common buckwheat from Inner Mongolia, Shanxi and Shaanxi Provinces in China. Three chemical families including mineral elements, vitamins and amino acids of 48 samples from different geographical origins were analyzed by principal component analysis (PCA), cluster analysis (CA) and linear discriminate analysis (LDA) for this purpose. LDA clearly discriminated the geographical origin of common buckwheat samples grown in three regions, and gave a high correct classification rate of 95.8% and satisfactory cross-validation rate of 91.7%. Some variables (Mn, VPP, Se, Gly, Cu, Asp, Fe, and Ala) significantly contributed to the ability to discriminate the geographical origin of the common buckwheat. These results demonstrated that the proposed method is a powerful tool for controlling the geographical origin of common buckwheat by governmental administration and protecting consumers from improper domestic labeling. However, the discriminant method still needs to be further validated using more reliable data.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins

Qiang

2017

Sci Rep

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“…Different studies have already demonstrated the possibility of the utilization of fatty acids profile from dairy products not only to identify the type of feeding system (daily rations of fresh grass vs. no fresh grass in the diet) [31][32][33][34][35][36], but also to ensure geographical authentication of the protected designation of origin dairy products [37]. However, despite the breed consistency increasing importance in last years, no studies have considered the possibility to distinguish between dairy products of Original Brown cows grazing or not on Italian alpine pastures.…”

Section: Introductionmentioning

confidence: 99%

Determination of Fatty Acids Profile in Original Brown Cows Dairy Products and Relationship with Alpine Pasture Farming System

Agradi

Curone

Negroni

et al. 2020

Animals

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This study aimed to evaluate the relationships between fatty acids and the pattern that most contributes to discriminate between two farming systems, in which the main difference was the practice, or not, of alpine summer-grazing. Milk and cheese were sampled every month in two farms of Original Brown cows identical under geographical location and management during no grazing season point of view in the 2018 season. Fatty acids concentrations were determined by gas chromatography. The principal component analysis extracted three components (PCs). Mammary gland de novo synthetized fatty acids (C14:0, C14:1 n9, and C16:0) and saturated and monosaturated C18 fatty acids (C18:0, C18:1 n9c) were inversely associated in the PC1; PC2 included polyunsaturated C18 fatty acids (C18:2 n6c, C18:3 n3) and C15:0 while conjugated linoleic acid (CLA n9c, n11t) and fatty acids containing 20 or more carbon atoms (C21:0, C20:5 n3) were associated in the PC3. The processes of rumen fermentation and de novo synthesis in mammary gland that are, in turn, influenced by diet, could explain the relationships between fatty acids within each PC. The discriminant analyses showed that the PC2 included the fatty acids profile that best discriminated between the two farming systems, followed by PC3 and, lastly, PC1. This model, if validated, could be an important tool to the dairy industry.

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“…In the category of 'oils': olive oil [22][23][24]. Other categories of 'seafood': scallops [25], eel [26], sea bass [27], clams [28], 'honey': thyme honeys [29], pine, and thyme honeys [30], commercial honey [31], [32] 'meat': [33], lamb (South Africa) [34], 'milk and dairy products': milk and cheese from buffalo [35], sheep milk [36] and others [37]. More specific, in the category of 'plant-crops and herbs', which is the category with the largest number of publications, there were articles with various analytical techniques for geographical origin authentication.…”

Section: Published Research For Geographical Origin Authentication Frmentioning

confidence: 99%

Geographical Origin Authentication of Agri-Food Products: A Review

Katerinopoulou

Kontogeorgos

Salmas

et al. 2020

Foods

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This study is a systematic literature review of geographical origin authentication by elemental analytical techniques. Authentication and certification of geographic origin of agri-food products is a useful tool toward the protection of the quality for products. The aim of this work was to map the current state of research in the area of agricultural products and food, identifying emerging fields to the geographical origin of products. The article is divided in three parts. The first part of the article deals with the analytical techniques applied in the food authentication. Special mention is made to elemental analysis and multiple isotope ratio. The second section focuses on statistically published data concerning published research for geographical origin authentication for the period 2015–2019. Specific results are presented inter alia: number of articles according to the type of product, articles according to the type of the analytical techniques, and others. The third part contains characteristic results from articles that were published in the period 2015–2019, on certification of geographical origin on specific agricultural products.

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Building of prediction models by using Mid-Infrared spectroscopy and fatty acid profile to discriminate the geographical origin of sheep milk

Cited by 34 publications

References 23 publications

Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins

Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins

Determination of Fatty Acids Profile in Original Brown Cows Dairy Products and Relationship with Alpine Pasture Farming System

Geographical Origin Authentication of Agri-Food Products: A Review

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