Almonds (Prunus dulcis)

Version	Summary	Created by	Modification	Content Size	Created at	Operation
1		Salvador Maestre Pérez	+ 2785 word(s)	2785	2021-02-08 03:49:03	\|
2	None	Salvador Maestre Pérez	Meta information modification	2785	2021-03-02 08:34:39	\| \|
3	Tried to remove an empty header line	Salvador Maestre Pérez	Meta information modification	2785	2021-03-02 08:39:39	\| \|
4	format correct	Camila Xu	Meta information modification	2785	2021-03-02 08:58:40	\|

This entry is adapted from the peer-reviewed paper 10.3390/foods10010153

Almond (Prunus dulcis) is a tree species that together with peach is included in the subgenus Amygdalus.

almond (Prunus dulcis) cultivar geographical authenticity

1. Introduction

Sweet almonds have an average length of 2.3 cm, 1.4 cm width, and 0.8–1.0 cm thickness. They have a delicate, aromatic, and sweet flavour. Externally, the seeds are oval, asymmetrical, flattened, sharpened at one end and rounded at the other, with an external husk that protects them from the environmental conditions and harvest. Finally, the almond nut is surrounded by the almond skin, also called tegument, which is a thick and brown wrapper, somewhat rough with quite noticeable streaks (Figure 1). Almond kernels have low water content, while their amount of fat can range from 46% to 64% ^[5] and their protein level can be around 10–35% ^[4]. It is known that these values are conditioned by cultivar and geographical origin ^[6]. Regarding the composition of the fat fraction, almonds are characterized by high amounts of monounsaturated and polyunsaturated fatty acids ^[7]. Oleic and linoleic acids are the most abundant unsaturated fatty acids in almonds, accounting for about 80–90% while saturated fatty acids, such as palmitic and stearic fatty acids, are present in lower quantities (<10%) ^[8]. Almonds are also noticeable for their content in minor compounds such as polyphenols, and tocopherols ^[9], which are correlated with antioxidant properties that reduce the risk of suffering from diseases related to oxidative stress such as arthritis, vasculitis, and high blood pressure, cancer, or Alzheimer ^[10]. Other minor compounds present in almonds are phytosterols or plant sterols which carry out cell functions in the plants analogous to those of cholesterol in animals.

Figure 1. Physical and nutritional characteristics of almond nut.

The commercial interest in almonds is increasing because they greatly enrich many recipes and desserts in Mediterranean cuisine such as nougat, marzipan, pralines, or ice creams. Also, they can be used in different forms: natural or salty, fresh or dried, roasted or fried ^[11]. Several publications concluded that different almond cultivars showed dissimilar chemical composition values and physicochemical and biochemical properties ^[12]^[13]. Due to this fact, the discrimination among almond cultivars has been the focal point of many research studies in order to avoid fraud in the food industry. Thus, it is interesting to check and evaluate the research works related to the chemical characterization and classification of almond cultivars.

2. Total Fat, Fatty Acids, and Triacylglycerides

The USDA National Nutrient Database highlighted the value of 49.9 g total lipid per 100 g raw almonds as a Standard Reference value ^[14], but the composition depends not only on cultivar but also on growing conditions and year of cultivation, among others. Related to this fact, in a study carried out in our research group, values of lipid content between 42.5–52.0%, 50.9–60.9%, 46.6–56.2%, and 47.9–56.2% were reported for the cultivars Garrigues, Marcona, Guara, and Butte, respectively. All of them were grown in different locations of Spain and California. Samples from two consecutive years were analyzed, confirming that the oil content is dependent on the origin and year of cultivation ^[9].

The fat fraction of almonds is mainly composed of fatty acids with 14 carbons up to 20 carbons quantified mainly by gas chromatography-flame ionization detector (GC-FID) ^[15]. In general terms, the amount of unsaturated fatty acids account for more than 90% of total lipids, being the main ones in decreasing order of mention: oleic (58.1–71.3%), linoleic (15.7–29.9%), palmitoleic (0.20–0.62%), and vaccenic acid (0.77–2.17%). In contrast, saturated fatty acids, such as palmitic (5.9–7.5%), stearic (1.0–2.4%), arachidic (0.07–0.10%), and myristic (0.02–0.05%) represented only 10% of total lipids ^[6]. Different research works in which almonds from different parts of the world were analyzed (i.e., almonds from Turkey ^[16], Spain ^[15], Italy ^[17], Serbia ^[18], China ^[19], and California ^[15], among others) reported oleic and linoleic as the major fatty acids.

In a recent study, it was revealed that the quality of the almond kernel depends on the maturity stage of the fruit, being noticeable the fat fraction changes related to the fatty acid composition ^[20]. Moreover, other studies have suggested that poor water supply to the crop leads to a lower oleic/linoleic ratio indicating a significant effect of irrigation on almond fatty acid composition ^[21]. In this sense, the irrigation management and the temperatures were the main factors affecting the oil content and fatty acid composition studied in seventeen different almond cultivars grown in two different environmental conditions, such as northeast Spain and central Morocco ^[22]. Regarding samples grown in Spain submitted to lower temperatures and better water contribution, the values of total oil content (58.65% vs. 55.58% (w/w)) and the percentage of oleic acid (71.1% vs. 68.6% (w/w)) were higher in comparison with the ones obtained in samples grown in central Morocco.

Considering the genetic diversity, the fatty acid composition has been strongly influenced by the genotype ^[22] being the oleic and linoleic the most variable acids among genotypes ^[23]. Kodad et al. studied samples of forty-seven advanced self-compatible almond genotypes in terms of the analysis of oil content and fatty acid composition ^[8]. The analyzed samples were grown in two different years and belonged to eight cultivars developed in an almond reproducing program. The obtained results confirmed that these parameters were highly variable, being strongly influenced by genotype.

Crucial aspects of food safety are the food authenticity studies focused on the identification of the geographical origin of food samples. In these studies, it is essential the development of new analytical methods and techniques able to confirm the chemical composition detailed on the food label ^[17]. Following this work line, a recent study reported a proper classification of almonds from different geographical origins (Sicily, Spain, and California) by the combination of chemometric techniques and the data related to fatty acid composition achieving an 87% of correctly classified samples. In this way, linear discriminant analysis (LDA) is the most predominant chemometric technique used with this purpose among the supervised pattern recognition methods ^[17]. Also, Colic et al. ^[18] determined the total oil, fatty acids, total phenolic content, and the radical-scavenging activity in almonds belonging to North Serbia from cultivars Marcona, Texas, and Troito. Regarding the fatty acid composition, oleic and linoleic acids were the most abundant ones among the sixteen compounds that were identified. To find out the components able to differentiate among samples based on their genotype, principal component analysis (PCA) was performed, with principal component 1 being strongly influenced by oleic, pentadecanoic, and palmitoleic acids content.

Other researchers analyzed the fatty acid composition of different almond cultivars grown in Afghanistan and determined the levels of palmitic, palmitoleic, tridecanoic, stearic, oleic, linoleic, arachidic, linolenic, henicosanoic, behenic, tricosanoic, and lignoceric acids ^[24]. Taking into account all the determined fatty acids, significant differences (p < 0.05) between the almond cultivars were found and the study revealed that the LDA classification was mainly influenced by linolenic, henicosanoic, tridecanoic, tricosanoic, and lignoceric acids. In similar research work, commercial almond samples from different cultivars grown under the same environmental conditions (Cristomorto, D. Largueta, Ferraduel, Ferragnes, Ferrastar, Glorieta, Lauranne, Masbovera, Nonpareil, Picantili, Sonora, Supernova, Texas, Tuono, and Yaltinski) were analyzed by Yildirim et al. ^[7]. PCA analysis showed that principal component 1 was mainly contributed by palmitic, palmitoleic, stearic, oleic, and arachidic acid, unsaturated fatty acids (UFA), saturated fatty acids (SFA), and UFA: SFA ratio. In a similar study, Beltrán et al. ^[15] achieved a classification of four almond cultivars (Butte from the USA, Marcona, Guara, and Garrigues from Spain) by using parameters related to the oil degradation. As it was expected, the main fatty acids found in the almond samples were oleic, linoleic, stearic, palmitic, and palmitoleic. The content in linoleic acid was higher in samples belonging to the Butte cultivar in comparison with the Spanish ones (Marcona, Guara, and Garrigues) and the application of the LDA technique provided a 100% correct classification of samples according to the cultivar.

Chemometric characterization of almond germplasm was conducted by Kodad et al. ^[25]. The oil content and the main fatty acids were determined in 73 almond cultivars from 10 different countries (Spain, Argentina, France, Italy, Greece, India, Syria, Portugal, Ukraine, and United States). The application of PCA indicated that the responsible variables for the separation were palmitic, oleic, and linoleic acids and the oleic acid/linoleic acid ratio indicating that fatty acid composition is strongly affected by the cultivar.

On the other hand, almond oil has been reported as the nut oil with the highest content in triacylglycerol′s (TAGs) (about 98%). However, the determination of the almond oil TAGs composition has not been the focus of many scientific studies. Among the few studies found, HPLC with refractive index detection was employed by Prats et al. ^[26] to quantify the TAGs present in different almond cultivars such as Desmayo Largueta, Marcona, Guara, and Masbovera from Spain; Texas, Non Pareil, and Titan from the United States of America; Tuono from Italy; Ferragnes from France; and Primorskyi from a Caucasian region. The main triacylglycerol detected was OOO followed by OLO, POO, OLL, PLO, StOO, LLL, PLL, and PLP, where O refers to oleic acid, L to linoleic acid, P to palmitic acid, and St to Stearic acid, with OOO and OLO together representing more than 60% of the total triglyceride content. A correct classification was obtained based only on the almond TAGs determined except PLP and POO by using four discriminant functions with the calculated retain variables. The classification was based on almond genotypes which were not camouflaged by environmental conditions.

To look for dissimilarities among Protected Designation of Origin (PDO) Amêndoa Douro and commercial non-PDO cultivars, Barreira et al. ^[27] characterized almonds during three harvesting years in Portugal in terms of fatty acid profile and TAGs. Accordingly, OOO and OLO were the major TAGs present in the studied samples as it was previously reported by Prats et al. ^[26]. To obtain statistical differences among PDO and non-PDO cultivars independent of the grown year, the PCA, LDA, and analysis of variance chemometric techniques were applied obtaining good results with the data of TAG analysis coupled with LDA.

From the fatty fraction, it seems that fatty acids and triacylglycerols could be used to classify almond cultivars if a good selection of variables is done when a multivariate analysis is applied. The variables that have had more differentiating power in the literature (Table 1) consulted are: palmitic, oleic, and linoleic acids and the oleic acid/linoleic acid ratio together with the following triglycerides OOO, OLO, POO, OLL, StOO, LLL, and PLL.

Table 1. Characterization of almonds of different geographical origins and cultivars based on their fatty acid composition.

Geographical Origin Confirm the Color of Back Ground	Cultivars-Country of Origin	Compounds	Analysis
Turkey	Cristomorto, Largueta, Ferraduel, Ferragnes, Ferrastar, Glorieta, Lauranne, Masbovera, Nonpareil, Picantili, Sonora, Supernova, Texas, Tuono, and Yaltinski	Palmitic, Palmitoleic, Heptadecanoic, Stearic, Oleic, Linoleic, Arachidic	GC-FID PCA
Sicily, Spain, California	Not specified	Oleic, Linoleic, Palmitic, Stearic, Myristic, Arachidonic, Arachidic	GC-MS PCA
Serbia	Marcona-Spain, Texas- USA, Troito-Italy and 17 selections from the large spontaneous population of almonds in North Serbia, called Slankamen Hill	Oleic, Linoleic, Palmitic, Stearic, Myristic, Arachidic, Palmitoleic, Heptadecanoic, Cis-10-heptadecenoic, Linolenic, Eicosenoic, Tricosanoic, Behenic, Pentadecanoic, Docosadienoic, Lignoceric	GC-FID PCA
Afghanistan	Khairodini samangani, Pista Badam, Kaghazai Siah Dana, Qaharbai, Sangak Shashum, Shokorbai, Carmel, Kaf Samangani, Khairodini, Kaghazai Kalan, Sattarbai, Belabai, Marawaja Du Maghza, Sattarbai Doum, Shakh-i- Buz Safid, Sangak Dahum, Qambari Kunduzi, Sattarbai Bakhmali, Khairodini-161 Samangan, Sattarbai Saiz Talkhak	Palmitic, Tridecanoic, Palmitoleic, Stearic, Oleic, Linoleic, Arachidic, Linolenic, Henicosanoic, Behenic, Tricosanoic, Lignoceric	GC-FID PCA
Argentina, France, Greece, India, Italy, Portugal, Spain, Syria, Ukraine, USA	Emilito-Argentina; Marcona Argentina-Argentina, Ai-France, Ardechoise-France, Bartre-France, Belle d’Aurons-France, Cristar-France, Ferragnes-France, Ferralise-France, Fourcouronne-France, Fournat de Brezenaud-France, Pointu d’Aureille-France, Princesse-France, Stelliette-France, Tardive de la Verdiere-France, Tournefort-France, Exinograd-Greece, Phyllis-Greece, Pagrati-Greece, Symmetriki-Greece, Truoito-Greece, Tsotoliou-Greece, Kata-India, Spilo-India, Talengy-India, Bonifacio-Italy, Cavaliera-Italy, Cristomorto-Italy, Filippo Ceo-Italy, Fiori-Italy, Fragiulio-Italy, Mollese-Italy, Olla-Italy, Prouvista-Italy, Rachele-Italy, Rana-Italy, Supernova-Italy, Tuono-Italy, Carreirinha-Portugal, Cosa Nova-Portugal, Gama-Portugal, Rameira-Portugal, Raposa-Portugal, Verdeal-Portugal, Atocha-Spain, Del Cid-Spain, Desmayo Largueta-Spain, Desmayo Rojo-Spain, Garbí-Spain, Garrigues-Spain, Mollar Arbeca-Spain, Marcona-Spain, Mollar-Spain, Ramillete-Spain, Verdereta-Spain, Siria-1-Syria, Siria-3-Syria, Nikitskij-Ukraine, Primorskij-Ukraine, Sovietskij-Ukraine, Drake-USA, IXL-USA, LeGrand-USA, Mono-USA, Nec Plus Ultra-USA, Nonpareil-USA, Peerless-USA, Tardy Nonpareil-USA, Texas-USA, Thompsom-USA, Tioga-USA, Tokyo-USA, Yosemite-USA	Palmitic, Palmitoleic, Stearic, Oleic, Linoleic	GC-FID PCA
Portugal	Protected Designation of Origin: Casa Nova, Duro Italiano, Pegarinhos, Refego. Non PDO: Ferraduel, Ferragnes, Ferrastar, Gloriette and Marcona	Palmitic, Palmitoleic, Cis-10-heptadecenoic, Stearic, Oleic, Linoleic, Arachidic	GC-FID PCA
Spain and California	Marcona-Spain, Guara-Spain Garrigues-Spain and Butte-California	Palmitic, Palmitoleic, Stearic, Oleic, Linoleic	GC-FID PCA
Morocco; Spain, France and Tunisia	Marcona-Spain, Desmayo Largueta-Spain, Ferragnès-France, Fournat de Brézenaud-France, Ferraduel-France, Khoukhi’-Tunisia and 46 local genotypes from the Rif mountains (north of Morocco), the Atlas mountains and the valley of Tadla (central-south Morocco)	Palmitic, Palmitoleic, Stearic, Oleic, Linoleic	GC-FID PCA

GC-FID: gas chromatography-flame ionization detector; PCA: principal component analysis; GC-MS: gas chromatography-mass spectrometry.

3. Proteins

The levels of protein in almonds can vary from 10% to 35% ^[4]. Usually, protein concentration is determined from the nitrogen levels using a nitrogen-to-protein conversion factor. In this sense, it is interesting to note that 6.25 or 5.18 values for this factor are reported, which can lead to differences in the stated protein content of almonds. As it has been reported, protein content in almond kernels steadily increases up to harvest, since the seed has a greater protein synthesis activity ^[30] and, additionally, its water content is reduced. Among the studies found, Barreira et al. evaluated the protein content of nine almond cultivars collected through three consecutive years in Portugal ^[31]. In this work, the authors used a nitrogen-to-protein conversion factor of 5.18 but non statistically significant differences in the protein levels were found. The same factor was used in another study ^[32] and the authors found that the proteins were one of the major components that had more variability related to the year of cultivation. In contrast, Drogoudi et al. ^[33], using the same protein conversion factor, showed that proteins have the highest variability between genotypes and the lowest between years, so it could be a good marker to differentiate varieties. Previously, this conclusion had been stated in the work of Calixto et al. ^[34] which determined the protein content of five different almond cultivars collected during the same year using a conversion factor of 6.25.

In the paper of Rabadán et al. ^[32], the protein concentration was the nutritional component with the highest reported variability among kernels, with the crop year being responsible for most of this variability. However, Yada et al. ^[35] found that, although the protein concentration was significantly different for two of the five cultivars studied, the crop year and growing region had not impact on the three genotypes followed. In this line, Kodad et al. ^[36] selected 41 almond genotypes from four different regions of Morocco during two consecutive years and evaluated the protein content of the kernel using the Dumas method with a conversion factor of 6.25. The ANOVA of the protein levels showed that the effect of genotype was significant as were the year and regions, and the interaction of year and genotype. The PCA carried out showed that kernel's oil-to-protein ratio could be used to differentiate genotypes. Finally, other works have also found differences in the protein content among several cultivars, although no classification was attempted ^[37]. From these results, it appears that the protein content of almond cultivars could hardly, on its own, be a candidate marker for cultivar classification as the influence of the growing conditions and year of cultivation are determinant.

4. Amino Acids

Amino acids accumulate in the almond kernel until the protein synthesis activity begins, afterwards, the levels of amino acids stabilize leading to a final residual (i.e., <200 mg/100 g) free amino acid content in the ripe kernel ^[30]. Font i Forcada et al. ^[38] reported that the heritability estimate of protein content in almond was very low, confirming the strong effect of environmental conditions on its expression. This was evidenced by the differences in this parameter found when different irrigation systems with inorganic/organic fertilization schemes were used ^[39]. Some works showed the complete amino acid profile of different almond cultivars ^[40]^[41]. However, the studies were not focused on comparison for classification purposes.

Furthermore, some articles of our research group showed data of the free amino acid profile of almond kernels, using this information for cultivar classification purposes ^[42]^[43]^[44]. Seron et al. ^[44] studied the free amino acid composition of nineteen cultivars from different countries, Spain, USA, Australia, Italy, and Tunisia, belonging to the same crop year. Leucine, Valine, and Alanine were the amino acids with a higher cultivar discrimination power although all amino acids contributed to differentiate cultivars. By applying PCA and discriminant analysis, the Spanish cultivars could be classified as a single class different from the rest. In the work of Grané et al. ^[42], the free amino acid profile of five almond cultivars grown in different regions of Spain was used as a classification tool. Two groups were found with Serine and Asparagine levels being the more effective data for differentiating cultivars. Finally, in a study using ten different cultivars grown in different parts of Spain, the authors suggested that the cultivar variable had a stronger influence on the free amino acid profile than the variables such as the region of growing and weather conditions ^[43]. Hence, Asparagine and Glutamic acid levels were used to distinguish Marcona and Texas cultivars from the other eight cultivars using LDA.

References

Nuts Dried Fruits Statistical Yearbook; INC. International Nut and Dried Fruit Council Foundation: Reus, Spain, 2019; doi:10.1002/9781118464663.
Food and Agriculture Organization of the United States, FAOSTAT Database. Available online: http://www.fao.org/faostat/en/#data (accessed on 2 December 2020).
Almond Board of California. Almond Almanac 2017, Annual Report. Printed in Modestio, California. Available online: http://www.almonds.com/sites/default/files/2017 (accessed on 20 November 2020).
Socias I Company, R.; Gradziel, T.M. Almonds: Botany, Production and Uses; CABI: Boston, MA, USA, 2017; doi:10.1079/9781780643540.0000.
Zhu, Y.; Wilkinson, K.L.; Wirthensohn, M.G. Lipophilic antioxidant content of almonds (Prunus dulcis): A regional and varietal study. J. Food Comp. Anal. 2015, 39, 120–127, doi:10.1016/j.jfca.2014.12.003.
Yada, S.; Lapsley, K.; Huang, G. A review of composition studies of cultivated almonds: Macronutrients and micronutri-ents. J. Food Comp. Anal. 2011, 24, 469–480, doi:10.1016/j.jfca.2011.01.007.
Yildirim, A.N.; Akinci-Yildirim, F.; Şan, B.; Sesli, Y. Total Oil Content and Fatty Acid Profile of some Almond (Amygdalus Communis L.) Cultivars. Pol. J. Food Nutr. Sci. 2016, 66, 173–178, doi:10.1515/pjfns-2015-0032.
Kodad, O.; Socias I Company, R. Variability of oil content and of major fatty acid composition in almond (Prunus amyg-dalus Batsch) and its relationship with kernel quality. J. Agric. Food Chem. 2008, 56 4096–4101, doi:10.1021/jf8001679.
López-Ortiz, C.M.C.M.; Prats-Moya, S.; Beltrán Sanahuja, A.; Maestre-Pérez, S.E.; Grané-Teruel, N.; Martín-Carratalá, M.L. Comparative study of tocopherol homologue content in four almond oil cultivars during two consecutive years. J. Food Comp. Anal. 2008, 21, 144–151, doi:10.1016/j.jfca.2007.09.004.
Barreca, D.; Nabavi, S.M.; Sureda, A.; Rasekhian, M.; Raciti, R.; Silva, A.S.; Annunziata, G.; Arnone, A.; Tenore, G.C.; Süntar, I.; et al. Almonds (Prunus dulcis Mill. D. A. webb): A source of nutrients and health-promoting compounds. Nu-trients 2020, 12, 672, doi:10.3390/nu12030672.
Hojjati, M.; Speziale, M.; Vázquez-Araújo, L.; Mincione, A.; Carbonell-Barrachina, A.A. Instrumental texture properties of Spanish Turrón, Italian Torrone and French Nougat. J. Food Bioproc. Eng. 2015, 1, 15–23. Available online: https://journals.ut.ac.ir/article_58151_0.html (accessed on 7 December 2020).
Gil Solsona, R.; Boix, C.; Ibáñez, M.; Sancho, J.V. The classification of almonds (Prunus dulcis) by country and variety us-ing UHPLC-HRMS-based untargeted metabolomics. Food Addit. Contam. Part A 2018, 35, 395–403, doi:10.1080/19440049.2017.1416679.
Diella, G.; Di Ciaula, A.; Lorusso, M.P.; Summo, C.; Caggiano, G.; Caponio, F.; Portincasa, P. Distinct effects of two al-mond cultivars on agreeability and gastrointestinal motility in healthy subjects: More than mere nutraceuticals. J. Gastro-intest. Liver Dis. 2018, 27, 31–39, doi:10.15403/jgld.2014.1121.271.dll.
USDA. National Nutrient Database for Standard Reference, Release 28. 2015. Available online: http://www.ars.usda.gov/nutrientdata (accessed on 10 December 2020).
Beltran, A.; Prats, M.S.; Maestre, S.E.; Grané, N.; Martín Carratalá, M.L. Classification of four almond cultivars using oil degradation parameters based on FTIR and GC data. J. Am. Oil Chem. Soc. 2009, 86, 51–58, doi:10.1007/s11746-008-1323-x.
Beyhan, Ö.; Aktaş, M.; Yilmaz, N.; Şimşek, N.; Gerçekçioǧlu, R. Determination of fatty acid compositions of some im-portant almond (Prunus amygdalus L.) varieties selected from Tokat province and Eagean region of Turkey. J. Med. Plant. Res. 2011, 5, 4907–4911.
Amorello, D.; Orecchio, S.; Pace, A.; Barreca, S. Discrimination of almonds (Prunus dulcis) geographical origin by minerals and fatty acids profiling. Nat. Prod. Res. 2016, 30, 2107–2110, doi:10.1080/14786419.2015.1107559.
Čolić, S.D.; Fotirić Akšić, M.M.; Lazarević, K.B.; Zec, G.N.; Gašić, U.M.; Dabić Zagorac, D.; Natić, M.M. Fatty acid and phenolic profiles of almond grown in Serbia. Food Chem. 2017, 234, 455–463, doi:10.1016/j.foodchem.2017.05.006.
Yang, R.; Zhang, L.; Li, P.; Yu, L.; Mao, J.; Wang, X.; Zhang, Q. A review of chemical composition and nutritional prop-erties of minor vegetable oils in China. Trends Food Sci. Technol. 2018, 74, 26–32, doi:10.1016/j.tifs.2018.01.013.
Zhu, Y.; Wilkinson, K.L.; Wirthensohn, M. Changes in fatty acid and tocopherol content during almond (Prunus dulcis, cv. Nonpareil) kernel development. Sci. Hortic. 2017, 225, 150–155, doi:10.1016/j.scienta.2017.07.008.
Zhu, Y.; Taylor, C.; Sommer, K.; Wilkinson, K.; Wirthensohn, M. Influence of deficit irrigation strategies on fatty acid and tocopherol concentration of almond (Prunus dulcis). Food Chem. 2015, 173, 821–826, doi:10.1016/j.foodchem.2014.10.108.
Kodad, O.; Estopañan, G.; Juan, T.; Molino, F.; Mamouni, A.; Messaoudi, Z.; Lahlou, M.; Socias I Company, R. Plasticity and stability in the major fatty acid content of almond kernels grown under two Mediterranean climates. J. Hortic. Sci. Bi-otechnol. 2010, 85, 381–386, doi:10.1080/14620316.2010.11512684.
Rabadán, A.; Álvarez-Ortí, M.; Gómez, R.; Pardo-Giménez, A.; Pardo, J.E. Suitability of Spanish almond cultivars for the industrial production of almond oil and defatted flour. Sci. Hortic. 2017, 225, 539–546, doi:10.1016/j.scienta.2017.07.051.
Zamany, A.J.; Samadi, G.R.; Kim, D.H.; Keum, Y.-S.; Saini, R.K. Comparative Study of Tocopherol Contents and Fatty Acids Composition in Twenty Almond Cultivars of Afghanistan. J. Am. Oil Chem. Soc. 2017, 94, 805–817, doi:10.1007/s11746-017-2989-8.
Kodad, O.; Alonso, J.M.; Espiau, M.T.; Estopanan, G.; Juan, T.; Socias I Company, R. Chemometric Characterization of Almond Germplasm: Compositional Aspects Involved in Quality and Breeding. J. Am. Oil Chem. Soc. 2011, 136, 273–281.
Prats-Moya, M.S.; Grané-Teruel, N.; Berenguer-Navarro, V.; Martín-Carratalá, M.L. A Chemometric Study of Genotypic Variation in Triacylglycerol. J. Am. Oil Chem. Soc. 1999, 76, 267–272, doi:10.1007/s11746-999-0229-6.
Barreira, J.C.M.; Casal, S.; Ferreira, I.C.F.R.; Peres, A.M.; Pereira, J.A.; Oliveira, M.B.P.P. Supervised chemical pattern recognition in almond (Prunus dulcis) Portuguese PDO cultivars: PCA- and LDA-based triennial study. J. Agric. Food Chem. 2012, 60, 9697–9704, doi:10.1021/jf301402t.
Beltrán, A.S.; Ramos, M.S.; Teruel, N.G.; Martín, M.L.C.; Garrigós, M.C.S. Classification of Almond Cultivars Using Oil Volatile Compound Determination by HS-SPME–GC–MS. J. Am. Oil Chem. Soc. 2011, 88, 329–336, doi:10.1007/s11746-010-1685-8.
Kodad, O.; Oukabli, A.; Mamouni, A.; Socias I Company, R.; Estopañán, G.; Juan, T. Study of the genetic diversity of al-mond seedling populations in Morocco: Application of a chemometric approach. Acta Hortic. 2011, 912, 449–454, doi:10.17660/ActaHortic.2011.912.68.
Soler, L.; Canellas, J.; Saura-Calixto, F. Changes in carbohydrate and protein content and composition of developing al-mond seeds. J. Agric. Food Chem. 1989, 37 1400–1404, doi:10.1021/jf00089a042.
Barreira, J.C.M.; Pereira, J.A.; Oliveira, M.B.P.P.; Ferreira, I.C.F.R. Sugars Profiles of Different Chestnut (Castanea sativa Mill.) and Almond (Prunus dulcis) Cultivars by HPLC-RI. Plant. Foods Hum. Nutr. 2010, 65, 38–43, doi:10.1007/s11130-009-0147-7.
Rabadán, A.; Álvarez-Ortí, M.; Pardo, J.E. A comparison of the effect of genotype and weather conditions on the nutri-tional composition of most important commercial nuts. Sci. Hortic. 2019, 244, 218–224, doi:10.1016/j.scienta.2018.09.064.
Drogoudi, P.D.; Pantelidis, G.; Bacchetta, L.; De Giorgio, D.; Duval, H.; Metzidakis, I.; Spera, D. Protein and mineral nu-trient contents in kernels from 72 sweet almond cultivars and accessions grown in France, Greece and Italy. Int. J. Food Sci. Nutr. 2013, 64, 202–209, doi:10.3109/09637486.2012.728202.
Calixto, F.S.; Cañellas, J.; de Toda, F.M. A chemical study of the protein fraction of mediterranean sweet almond varieties (Prunus amygdalus). Z. Lebensm. Unters. Forsch. 1982, 175, 34–37, doi:10.1007/BF01267829.
Yada, S.; Huang, G.; Lapsley, K. Natural variability in the nutrient composition of California-grown almonds. J. Food Comp. Anal. 2013, 30, 80–85, doi:10.1016/j.jfca.2013.01.008.
Kodad, O.; Estopañán, G.; Fagroud, M.; Juan, T.; Socias I Company, R. Physical and chemical traits of almond kernels of the local almond populations in Morocco: Commercial and industrial end-uses. Acta Hortic. 2014 1028, doi:10.17660/ActaHortic.2014.1028.37.
Simsek, M.; Gulsoy, E.; Yavic, A.; Arikan, B.; Yildirim, Y.; Olmez, N.; Erdogmus, B.; Boguc, F. Fatty acid, mineral and proximate compositions of various genotypes and commercial cultivars of sweet almond from the same ecological condi-tions. Appl. Ecol. Environ. Res. 2018, 16, 2957–2971, doi:10.15666/aeer/1603_29572971.
Forcada, C.F.; Kodad, O.; Juan, T.; Estopañan, G.; Socias I Company, R. Genetic variability and pollen effect on the transmission of the chemical components of the almond kernel. Span. J. Agric. Res. 2011, 3, 781–789, Available online: https://dialnet.unirioja.es/servlet/articulo?codigo=3740250 (accessed on 23 November 2020).
Sánchez-Bel, P.; Egea, I.; Martínez-Madrid, M.C.; Flores, B.; Romojaro, F. Influence of Irrigation and Organic/Inorganic Fertilization on Chemical Quality of Almond (Prunus amygdalus cv. Guara). J. Agric. Food Chem. 2008, 56 10056–10062, doi:10.1021/jf8012212.
Saura-Calixto, F.; Bauza, M.; de Toda, F.; Argamenteria, A. Amino acids, sugars, and inorganic elements in the sweet al-mond (Prunus amygdalus). J. Agric. Food Chem. 1981, 29, 509–511, doi:10.1021/jf00105a018.
Ahrens, S.; Venkatachalam, M.; Mistry, A.M.; Lapsley, K.; Sathe, S.K. Almond (Prunus dulcis L.) protein quality. Plant. Foods Hum. Nutr. 2005, 60, 123–128, doi:10.1007/s11130-005-6840-2.
Grané-Teruel, N.; Luna-Amador, M.C.; Prats-Moya, M.S.; Berenguer-Navarro, V.; Martı́n-Carratalá, M.L. Statistical comparative study of free amino acid HPLC data from a selected almond set. Food Chem. 1999, 65, 23–28, doi:10.1016/S0308-8146(97)00239-2.
Martín Carratalá, M.L.; Prats Moya, M.S.; Grané Teruel, N.; Berenguer Navarro, V. Discriminating Significance of the Free Amino Acid Profile in Almond Seeds. J. Agric. Food Chem. 2002, 50, 6841–6846, doi:10.1021/jf020108t.
Seron, L.H.; Poveda, E.G.; Prats Moya, M.S.; Martı́n Carratalá, M.L.; Berenguer-Navarro, V.; Grané-Teruel, N. Charac-terisation of 19 almond cultivars on the basis of their free amino acids composition. Food Chem. 1998, 61, 455–459, doi:10.1016/S0308-8146(97)00083-6.

© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.

Upload a video for this entry

Information

Subjects: Food Science & Technology

Contributor MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :

Salvador Maestre Pérez

View Times: 2.4K

Update Date: 02 Mar 2021

Table of Contents