Impact of Pumpkin Seed, Brown Rice, Yellow Pea, and Hemp Seed Proteins on the Physicochemical, Technological, and Sensory Properties of Green Lentil Cookies
Department of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, Vas Str. 17, 1088 Budapest, Hungary; hermanne.juhasz.reka@semmelweis.hu (R.J.); csajbokne.csobod.eva@semmelweis.hu (É.C.C.); benedek.csilla@semmelweis.hu (C.B.)
Centre for Sports Nutrition Science, Hungarian University of Sport Science, Alkotás Str. 42-48, 1123 Budapest, Hungary; palinkas.zoltan@tf.hu (Z.P.); utczas.margita@tf.hu (M.S.-U.)
Abstract
This study explores the potential of some commercially available plant proteins to increase the protein content of gluten free cookies produced from green lentil flour. Isolates from hemp seed, brown rice, yellow pea, and pumpkin seed were investigated. Cookies were additionally enriched with inulin and matcha tea. Products were characterized in terms of physicochemical parameters (e.g., crude protein content, total phenolics and flavonoids, antioxidant activity, and color). Additionally, technological properties including geometry, baking loss, and texture profile were determined, and a sensory profile test was conducted. The replacement of a quarter of lentil flour with plant proteins increased the protein content (control: 12.4% vs. 15.1–20.4%), but suppressed the polyphenol content, resulting in reduced antioxidant capacity (3.13 vs. 2.14–2.69 mmol TE/100 g). The geometry, texture properties, and color of the cookies were affected by all the proteins investigated. The biggest difference was shown in the case of using yellow pea (YP) protein, which showed the highest browning index (YP: 66.36 vs. 42.63–63.45) and spread ratio (8.38 vs. 5.63–6.39) among the samples tested. The sensory attributes of the cookies, such as tea notes, surface homogeneity, crunchiness, and crumbliness, proved to be negatively affected by the plant proteins, which may be a limitation for consumer acceptance.
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Keywords: cookie, vegan, gluten-free, lentils, plant proteins, inulin
Article notes
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Received 2025 Feb 13; Revised 2025 Apr 22; Accepted 2025 Apr 23; Collection date 2025 May.
1. Introduction
In parallel with an increasing health-consciousness, people’s interest in more balanced meals is growing. Consumers prefer functional foods that are practical to carry, easy to consume, and have an increased nutritional value at the same time. Among these, high-protein foods are marketed as weight control and muscle building foods, but recently such foods have also been developed for people struggling with diabetes, obesity, or protein deficiency [1,2]. Cookies are considered comfort foods that may support a strict diet or a lifestyle demanding exclusion of certain nutrients (e.g., gluten) and can be subject to protein enrichment [3].
On the other hand, protein addition can have both positive and negative effects on food quality, depending on the amount and type of added protein. On the positive side, an increased nutritional value can be undoubtedly beneficial for the organism [4]. However, added protein can also contribute to the structure, consistency, and texture of food, including cookies. Certain proteins contribute to the browning and color development of cookies during baking, ensuring a more attractive appearance [5]. Nevertheless, an excessive amount of protein can result in increased hardness. Some proteins have a too strong, bitter taste, which is not desirable in cookies, thus these must be covered by extra sweetening or by using different aromas [6]. Overall, moderate protein enrichment can have a positive effect on the quality of cookies, but to overcome the downsides, it is important to choose the right type and amount of protein.
As regards protein sources, the two most common ones used to develop protein-enriched products are isolated soy protein and whey protein. Both are widely used in several ways to enhance product functionality [7]. However, whey protein is not a preferable choice for people with milk protein allergy or those following a vegan diet. The number of the latter has increased significantly in many developed countries, and it is likely that their influence on the food sector will continue to increase. Recent changes in consumer behavior also support the use of exclusively plant-based protein sources [2]. According to previous studies, emerging reasons for choosing a vegan diet are ethical, health-related, and environmental, in addition to production costs, individual taste, and religion [8,9,10,11]. Even though the increased consumption of plant-based foods is commonly considered healthy [12], concerns may arise about vegan diets regarding the absorption and availability of certain micronutrients (such as iron, iodine, vitamins A, D or B12, calcium, and zinc). Therefore, in order to overcome micronutrient deficiencies, a well-planned and structured vegan diet should include a variety of plants and proper fortified food, completed with sufficient sunlight exposure [13]. As regards protein intake, most literature reports have documented a gradient of protein intake among adults in Western countries, from meat eaters to vegans. Even though a vegetarian diet frequently has a reduced protein intake, it is generally still adequate in terms of the gross amount of protein. However, according to literature study findings, a smaller percentage of vegans may consume insufficient amounts of protein, but this phenomenon may be concealed by the considerably greater and ample protein intake of the general population. It is estimated that 16.5% of males and 8.1% of females within vegan eaters have a low protein consumption [14]. If a vegetarian diet excludes protein-rich foods like legumes, which are the most common source, as well as nuts, seeds, or any protein-analogs of animal foods, an inadequate intake of protein may occur [15]. In a recent study, it was even recommended that the protein Recommended Dietary Allowance (0.8 g per kg of body weight per day) should be modified to include specific recommendations for vegans, due to the lower protein quality of the majority of plant-based foods compared to animal-based foods, or at the very least to emphasize the significance of a diet with a higher protein intake to better guide and ensure nutrient adequacy in vegans. A 20% increase in the protein requirement was suggested to counter nitrogen losses. In cross-sectional studies, vegan diet adherence has also been associated with reduced muscle mass in young adults (nearly 5 kg difference compared to omnivores) [16]. These figures can even be higher for celiac and vegan people, as due to the exclusion of gluten as a protein source, gluten-free products usually have a lower protein content than conventional ones [17,18,19]. It is also well known that individual plant proteins often have lower digestibility scores than animal proteins because of their imbalanced amino acid content and decreased bioavailability. This aspect should also be considered, to ensure that daily food consumption meets nutritional standards. Even with moderately diverse sources, traditional vegetarian diets supply enough protein and amino acids; nonetheless, a tiny proportion of vegans may not consume enough [20]. A recent Danish study indeed revealed that many vegan people do not consume the recommended daily amount of protein. Moreover, it was discovered that their dietary intake was deficient in several critical amino acids, including lysine, the sulfur-containing amino acids, leucine, and valine, mainly due to the fact that only a limited number of protein sources were consumed during a day [21]. As Rojas Conzuelo and co-workers pointed out, in a diet that consists of solely low-quality protein sources, the quality of the protein may be poor. However, a vegan menu can be transformed from one with low-quality protein to one with high-quality protein after some products are replaced with high-quality protein sources [20].
In response to the challenges linked to plant-based diets, intensive research has shown that regular consumption of legumes has protective effects against obesity, type 2 diabetes, and cardiovascular disease. Studies have shown that the bioactive proteins of lentils reduce plasma levels of LDL-cholesterol, triglyceride content of the liver, and adipose tissue lipoprotein lipase activity; moreover, polyphenols of lentils could prevent angiotensin II-induced hypertension and pathological changes, including vascular remodeling and vascular fibrosis [22,23]
Lentils have been qualified as cost-effective, sustainable, and eco-friendly staple foods that are nutritious, technologically functional, protein-rich, and gluten-free, gaining a place in both celiac and vegan diets [24]. Unlike other plant-based foods, lentils can represent a suitable choice, not only due to their excellent nutritional value, but also because of their high lysine content, balanced amino acid profile, and low price [25]. The amount of essential amino acids in lentil proteins achieves FAO and WHO recommendations for adults, except methionine [26]. In addition, lentil proteins may possess positive physiological properties, having a potential beneficial impact on gut microflora modulation and hypertension. Therefore, we considered it well-justified to develop cookies that are gluten-free, rich in high-quality protein, and fiber and antioxidants, and at the same time comply with the vegan lifestyle. Due to the beneficial composition of green lentils further enriched with valuable nutrients (including indispensable amino acids), a complex and balanced composition was achieved, which is suggested to complete the diet of celiac vegan people as a nutritionally valuable commodity snack. Inulin, as a prebiotic dietary fiber, is widely accepted as a low-calorie ingredient in bakery products [27] (p. 61).
Based on the aspects explained above, i.e., consumer demand for protein-enriched products, and the restrictions and risks regarding the protein intake of vegan and celiac people, our aim was to prepare commodity snacks suitable for addressing these requirements. To achieve our goals, green lentils were chosen as nutritionally valuable, gluten-free, and protein- and fiber-rich starchy legumes. The lentil-based matrix was complemented with plant-based proteins, including brown rice, yellow pea, hemp, and pumpkin seed, in order to investigate their impact on the physicochemical, technological, and sensory properties of the original lentil cookies. The additional effect of inulin was also examined to reveal the effects of combined protein and fiber enrichment. Matcha tea powder was also added to boost antioxidant properties and modulate sensory attributes.
2. Materials and Methods
2.1. Ingredients Used for Preparation of Samples
Green lentil (Lens culinaris Medik.) flour was used in experiments. Whole seeds were purchased in a local market in Budapest, Hungary. Lentil flour was prepared as described in detail in our previous publication [3]. Briefly, seeds were grinded using a Grindomix GM 200 knife mill (Retsch GmbH, Haan, Germany), and the thus obtained whole meal was then sieved using a manual sieve with 500 μm openings.
Powdered sugar, glucose, salt, sodium bicarbonate, matcha tea powder (Fujian Blue Lake Foods Co., Ltd., Fuzhou, Fujian, China), and margarine were purchased in a local grocery store. The margarine had 70% fat content. It was milk- and lactose-free.
In the present experiment, four different plant proteins and a long-chain inulin with no sweetness contribution were purchased from webshops: Pumpkin seed protein concentrate (Wheyprotein.hu–Buda Family Kft.): pale green powder with a characteristic pumpkin seed odor, protein content: 57.6 ± 0.1 g/100 g. Brown rice protein (Naturize Hungary Kft.): light-beige powder with a typical odor, protein content: 75.0 ± 1.3 g/100 g. Yellow split pea protein (Wheyprotein.hu–Buda Family Kft): slightly yellowish powder with a specific odor, protein content: 76.3 ± 1.6 g/100 g. Hemp seed protein (BiOrganik Online Kft.): green powder with a distinctive odor, protein content: 42.0 ± 0.8 g/100 g. Protein contents indicated were determined as described in Section 2.7. Inulin produced from chicory (Orafti®FTX, Beneo, Tienen, Belgium): a slightly yellow powder, inulin content: 98 g/100 g according to producer specification.
2.3. Reagents and Standards Used for Chemical Determinations
All the chemicals used during analytical procedures were of reagent grade. Neocuproine (Sigma-Aldrich, product no. N1501), gallic acid (Sigma-Aldrich, product no. G7384), and (+)-catechin hydrate (Sigma-Aldrich, product no. 22110) were purchased from Merck Life Science Kft. (Budapest, Hungary). Ethanol, methanol, glacial acetic acid, Folin–Ciocalteu’s reagent, anhydrous sodium carbonate, boric acid, and methyl red were purchased from VWR International Kft. (Debrecen, Hungary). Copper (II) chloride dihydrate, trolox (Acros Organics, product no. 218940050), aluminum chloride hexahydrate, 37% hydrochloric acid, sodium hydroxide micropearls, 96% sulfuric acid, 32% w/w sodium hydroxide solution, and bromocresol green were purchased from Reanal Laborvegyszer Kft. (Budapest, Hungary).
2.4. Determination of Baking Loss and Geometry
Ten circular cookie pieces were weighed before baking (w1) and after cooling to room temperature (w2). Baking loss was expressed in percentage of the average weight loss during baking and cooling: (w1 − w2)/w1. The diameter and thickness of each cookie were determined with the help of a measuring scale. The diameter was measured from end to end at the center point of the cookie sample. After a rotation at an angle of 90°, the cookie diameter was measured again and then the average value was recorded. The thickness of the cookie sample was determined as the length between the top and the bottom. It was measured at three points (the center and two edges), and then the average value was recorded.
2.5. Color Measurement
The instrument used for color measurements was a portable Chroma Meter CR-410 (Konica Minolta, Inc., Tokyo, Japan). Surface color was measured in three individual cookies per sample type. After calibrating the instrument using the reference white plate CR-A44 (Konica Minolta, Inc., Tokyo, Japan), L* [lightness: (0) black—(100) white], a* [(−) green/(+) red component], and b* [(−) blue/(+) yellow component] values in the CIE LAB color space were obtained.
CIE LAB parameters (L*, a*, and b*) were taken for further calculation of the browning index (BI), which was calculated according to the equation in [31,32]: BI = [100·(X − 0.31)]/0.172, where X = (a* + 1.75·L*)/(5.645·L* + a*−3.012·b*).
Delta E (∆E) was calculated in order to express differences in color between samples [33]. If ∆E is less than 1, the difference is normally invisible to the eye, while there is an obvious color difference if ∆E > 3.
2.6. Determination of Antioxidant Properties
The extraction procedure was performed in duplicate, as described in detail in our previous publication [3]. Homogenized ground materials were extracted with methanol, water, and acetic acid (75:25:0.1). Total polyphenol content (TPC) was measured using Folin–Ciocalteu reagent [34]. The results were expressed as mg of gallic acid equivalents (GAE) in 100 g of cookie sample. Total flavonoid content (TFC) was determined using the aluminum chloride colorimetric method [35]. A standard curve was prepared using catechin. Results were calculated as mg catechin equivalents (CE) per 100 g of sample. The cupric(II) ion reducing capacity (CUPRAC) method [36] was used against trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid) as a standard. The antioxidant activity of the cookie extracts was expressed as mmol trolox equivalents (TE) per 100 g of cookie. Three replicates were measured for each extract and for each analytical assay (2 × 3 in total for each sample) using a Helios Alpha spectrophotometer (Thermo Spectronic, Cambridge, England).
2.7. Determination of Crude Protein Content
Nitrogen content was measured in triplicate with the Kjeldahl procedure, where ~1.0 g of the homogenized ground sample was digested with 15 mL of concentrated sulfuric acid containing catalyst (Kjeltabs Se/3.5) using a LabtecTM DT208 Digestor (FOSS Analytical Co., Ltd., Suzhou, China) unit. The resultant solution was distilled with 50 mL of NaOH using a KjeltecTM 8200 equipment (FOSS Analytical Co., Ltd., Suzhou, China). Liberated ammonia was trapped in 30 mL of 1% boric acid solution and titrations were performed with standardized 0.1N HCl to a mixed indicator endpoint (0.1 g/100 mL bromocresol green and 0.1 g/100 mL methyl red in methanol). The protein conversion factor was 6.25 for all the cookies, except for those containing brown rice protein, where 5.95 was used as a conversion factor [37].
2.8. pH Measurement
pH values were measured in triplicates from water extracts prepared from 5.00 g sample suspended in 10 mL water using a Testo 206-pH2 digital pH meter (Testo SE & Co. KGaA, Lenzkirch, Germany) device.
2.9. Texture Profile Analysis
Measurements were performed using a Brookfield CT3 Texture Analyzer (Ametek Brookfield, Middleborough, MA, USA). Sample penetration and data acquisition were controlled using the TexturePro CT v1.9 build 35 software (Ametek Brookfield, Middleborough, MA, USA) provided with the apparatus. A two-cycle program was used to allow the probe to travel 5.0 mm into the sample, return, and repeat. A TA9 probe (stainless steel needle) was used at 1 mm/s speed. Four cookies were selected, each was tested in four replicates in the central position.
The textural parameters are automatically calculated from the force–time curve by the software as follows. Hardness [g] is given as the positive peak force during the first cycle. Adhesive force [g] is defined as the negative peak measured on the first probe reversal. Cohesiveness [−] represents the ratio of positive force during the second to that during the first cycle. Gumminess [g] is calculated as hardness × cohesiveness.
2.10. Sensory Tests
Sensory analyses were performed on freshly baked cookies in two experiments. In the first, cookies without dietary fiber were tested with 18 participants. In the second, cookies with dietary fiber addition were evaluated by 23 panelists. A simplified profile analysis was applied, as described previously by the authors [29]. The following sensory attributes were evaluated on a 1–10 structured linear scale: surface homogeneity (cracked-homogeneous, smooth); surface color (green-brown); tea odor, baked odor, lentil taste, tea taste, and sweet taste (uncharacteristic, not perceptible-intense); hardness (soft-hard); crunchiness (sticky, chewy-crunchy); crumbliness (crumbly, dry-not crumbly).
2.11. Data Analysis
In the case of texture parameters, data screening was applied to remove outliers, as in our previous papers [3,29]. Among the sixteen measured data, the two lowest and the two highest data were skipped. Statistical analyses were carried out using Statistica ver.13.5.0.17. (TIBCO Software Inc., Palo Alto, CA, USA) software at a significance level (α) of 0.05: one-sample Student’s t-test for comparing different sample types with the control cookie (only in the case of sensory data) and Tukey’s post hoc test for pairwise comparisons. Principal components analysis (PCA) was also used for finding patterns in the datasets.
3. Results and Discussion
3.4. Principal Components Analysis
Principal components analysis (PCA) was performed to check for possible differentiation patterns between samples, based on the attributes measured.
Four principal components were calculated that covered 72.76% of total variance (see Tables S1 and S2). However, the first two principal components (PC1 and PC2) covered 46.52% of the total variance. Their plot (Figure 2) showed that results of sensorial and instrumental measurement methods for the same parameters presented similar tendencies, as indicated by their close proximity (for example crumbliness and cohesiveness, green color and a*). Tea notes seemed to be linked not only to the total polyphenol content, but also to sweet taste and negatively linked to lentil taste, which supports the use of matcha tea as a flavor corrector.
Each type of plant protein added to the lentil cookies changed the characteristic of the control. The biggest difference was observed in the case of yellow pea protein, which was distinguished from the rest of the samples in terms of baking properties (baking loss, spread ratio).
Hemp seed protein and inulin together increased hardness and crunchiness. Pumpkin seed and brown rice proteins had a positive impact on antioxidant properties, the first protein and hemp seed protein (without added fiber) being the closest to the unenriched control.
4. Conclusions
Plant-based protein preparations (pumpkin seed, brown rice, yellow pea, and hemp seed) can be used to replace part of the lentil flour in green lentil cookies, thus increasing their protein ratio and shaping their physicochemical and functional, as well as sensory properties, in various ways. The impact of inulin, as a prebiotic fiber, was also tested in all protein-enriched combinations, and matcha tea powder was added as a nutritionally beneficial component.
The protein contents of the enriched cookies were boosted, reaching up to 20% in the case of pure isolates. However, as expected, total polyphenol content and antioxidant capacity were generally lower upon replacement of a quarter part of lentil flour with proteins and further reduced when fiber was added.
In most cases, the color of the cookies changed in a visibly perceivable way. This color modification was attributed, on the one hand, to the endogenous color of the protein preparations, on the other hand, to the impact of the proteins on multiple processes taking place during baking. This latter fact applied especially to yellow pea protein, which produced lighter cookies but high browning indices. The baking loss and geometry values obtained showed that both proteins and inulin produced significant changes. Again, yellow pea protein-enriched cookies produced extreme values, which were moderated by the presence of inulin.
The texture properties proved to be highly impacted in samples containing yellow pea, hemp seed, and brown rice proteins, especially in terms of hardness and cohesiveness. For the inulin-enriched cookies, the general hardness-decreasing effect of the fiber content was confirmed, especially in the case of yellow pea protein.
The sensory panel test demonstrated that the surface homogeneity of the protein-enriched cookies was considerably lower in samples without additional fiber than in the control. However, the inulin offset this effect for many samples. As regards the green color of the protein-enriched cookies, excepting the hemp seed-containing cookies, this was not different from the controls. Hardness and crumbliness were perceived as in line with the results of the instrumental measurements. The crunchiness of yellow pea and hemp seed protein-enriched cookies was substantially affected by inulin addition. Tea notes were partially masked by all proteins, while inulin did not show such an effect. As a result of the enhanced Maillard process, the baked odor was more prominent for all protein-containing products, while sweet taste was only perceived to be weaker in the yellow pea cookies.
Based on our findings, it may be concluded that plant-based protein enrichment increases the nutritional quality of lentil cookies in terms of enhanced crude protein content; however, the amount of supplementation is primarily limited by the color and taste of the products. Further studies are envisaged to find the ideal combination of plant proteins to ensure a nutritionally complete amino acid profile, as well as suitable texture, color, and sensory characteristics.
Acknowledgments
Authors are grateful to their students—Rita Hodula, Dóra Pardek, Tünde Sarnyai, Barbara Sipos, Ágota Szekeres—for contributing to the analyses. The authors would like to acknowledge all volunteers who participated in the sensory panel.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/foods14091518/s1, Table S1: Summary of Principal Components Analysis; Table S2: Variable importance.
Institutional Review Board Statement
Only safe and commercially available ingredients were used in the products tested. No ingredients classified as novel food were used. None of the circumstances outlined in the national regulation (23/2002. EüM) applied during our sensory evaluation, so ethics committee approval was not required for this study.
Informed Consent Statement
All subjects were informed about the purpose of the study, the role of the evaluator, the procedure, voluntariness, and anonymity prior to the sensory test. Only those who provided informed consent were included. All participants were 18 years or older.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
This research received no external funding.
Footnotes
Footnote Group
References
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Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.