Peanut protein ingredients: preparation, properties, and food uses

Characterization of endogenous endopeptidases and exopeptidases and application for the limited hydrolysis of peanut proteins

Research concerning the utilization of oilseed endogenous proteases is scarce. Herein, we investigated the peanut proteases and their effects on peanut proteins. Liquid chromatography tandem mass spectrometry analysis showed that peanut contained several endopeptidases and exopeptidases. Protease inhibitor assay and analysis of cleavage sites showed that the obvious proteolytic activity at pH 2-5 and 20-60 °C was from aspartic endopeptidases (optimal at pH 3) and one legumain (pH 4). The above endopeptidases destroyed five and six IgE-binding epitopes of Ara h 1 at pH 3 and 4, respectively. Ara h 1 (>95%) and arachin (50-60%) could be hydrolyzed to generate 10-20 kDa and <4 kDa peptides at pH 3, which was enhanced by the pH 3 → 4 incubation. Further, the limited hydrolysis improved the gel-forming ability and in vitro digestibility (approximately 15%) of peanut proteins. Free amino acid analysis showed that the activity of exopeptidases was low at pH 2-5.

Resveratrol, total phenolic and flavonoid contents, and antioxidant potential of seeds and sprouts of Korean peanuts

Peanut sprouts are gaining increasing popularity as a potential source of functional food. The objective of this study was to investigate yield and food value of peanut sprouts of six Korean peanut genotypes (Daekwang, Akwang, Baekjung, Alogi, Pungan and Heugttangkong) from day 5 through 9. Functional compounds like polyphenol, flavonoid, and resveratrol contents were significantly (p < 0.05) high in the sprouts compared to those in the seeds. Pungan yielded significantly (p < 0.05) high sprouts followed by Alogi. However, antioxidant potentials and functional compounds in the sprouts varied significantly (p < 0.05) with genotype, sprout part, and day after germination. Overall consideration of the yield, functional compounds, and antioxidant potentials of the sprouts suggested that more appropriate time of sprout harvest for Alogi and Pungan was day 5-7 and that for the other genotypes was day 5-8. The yield and functional properties of peanut sprouts significantly varied with genotypes, parts, and age.

Yield and Textural Characteristics of Panela Cheeses Produced with Dairy-Vegetable Protein (Soybean or Peanut) Blends Supplemented with Transglutaminase

The study evaluated panela cheeses made from dairy-plant protein blends, using soybean or peanut protein isolates, supplemented with transglutaminase (TG). Plant proteins were isolated using an alkaline extraction method followed by acid precipitation, and added to the dairy system in order to increase 50% or 100% the protein concentration. The total protein extraction for peanut and soybean isolates was 30.3% and 54.6%, respectively (based on initial protein content of sources), and no impairment of their essential amino acid profile was detected. Cheeses supplemented with TG and soybean showed the highest moisture and crude yield (>67.8% and 20.7%, respectively), whereas protein content was higher in the peanut isolate--added samples without TG (>67.4%). Cheese solids yield (ratio between final and initial solids) was higher for treatments with TG and 100% of plant protein addition (>50.7%). Regarding texture, 4 parameters were measured: hardness, cohesiveness, chewiness, and springiness. All cheeses containing soybean isolates and TG presented the highest chewiness and cohesiveness values, similar to those of the control treatment. Springiness was similar for all treatments, but hardness was higher in cheeses prepared with the peanut protein isolate added with TG. From these results it can be concluded that panela cheeses can be elaborated following a traditional procedure, but with the addition of soybean or peanut protein to the dairy ingredients. Cheeses containing these protein isolates showed higher protein than the milk control cheese and similar textural characteristics.

Assessment of taste attributes of peanut meal enzymatic-hydrolysis hydrolysates using an electronic tongue

Peanut meal is the byproduct of high-temperature peanut oil extraction; it is mainly composed of proteins, which have complex tastes after enzymatic hydrolysis to free amino acids and small peptides. The enzymatic hydrolysis method was adopted by using two compound proteases of trypsin and flavorzyme to hydrolyze peanut meal aiming to provide a flavor base. Hence, it is necessary to assess the taste attributes and assign definite taste scores of peanut meal double enzymatic hydrolysis hydrolysates (DEH). Conventionally, sensory analysis is used to assess taste intensity in DEH. However, it has disadvantages because it is expensive and laborious. Hence, in this study, both taste attributes and taste scores of peanut meal DEH were evaluated using an electronic tongue. In this regard, the response characteristics of the electronic tongue to the DEH samples and standard five taste samples were researched to qualitatively assess the taste attributes using PCA and DFA. PLS and RBF neural network (RBFNN) quantitative prediction models were employed to compare predictive abilities and to correlate results obtained from the electronic tongue and sensory analysis, respectively. The results showed that all prediction models had good correlations between the predicted scores from electronic tongue and those obtained from sensory analysis. The PLS and RBFNN prediction models constructed using the voltage response values from the sensors exhibited higher correlation and prediction ability than that of principal components. As compared with the taste performance by PLS model, that of RBFNN models was better. This study exhibits potential advantages and a concise objective taste assessment tool using the electronic tongue in the assessment of DEH taste attributes in the food industry.