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RESEARCH ARTICLE

Production of phenylalanine-reduced soymilk for phenylketonuria patients

Yasemin Taşdemir1, Evren Gölge2*

1Istanbul Technical University, Istanbul, Turkey;

2Sivas Cumhuriyet University, Sivas, Turkey

Abstract

Phenylketonuria (PKU) is a hereditary disease caused by the deficiency of phenylalanine (Phe) hydroxylase enzyme or its cofactor tetrahydrobiopterin. Treatment involves a Phe-restricted diet, although food options are limited. Soymilk, derived from soybeans, is a functional food with nutritional benefits. In this study, soymilk was produced and hydrolyzed with protease of Aspergillus oryzae and papain, and then activated carbon was used to remove Phe for PKU patients. The second-derivative spectrophotometry method was used to determine Phe content in soymilk. The results showed no significant difference in dry matter, fat, and crude fiber between soymilk and Phe-extracted soymilk with respect to the control group (P < 0.05). Soymilk’s protein content was calculated as 2.74% (w/w) and that of Phe-reduced soymilk as 1.94% (w/w). Similarly, consecutive Phe content was 40.53 mg/L and 5.09 mg/L. After hydrolization, the calculated Phe removal rate was 87.44% (w/w), and the protein content was reduced by 29.19% (w/w). The study demonstrates that Phe-reduced soymilk is suitable for PKU patients, thus reducing the need for imported products and offering new market opportunities.

Key words: phenylketonuria, soymilk, phenylalanine, activated carbon

*Corresponding Author: Evren Gölge, Sivas Cumhuriyet University, Sivas, Turkey. Email: [email protected]

Received: 9 October 2023; Accepted: 15 November 2023; Published: 21 December 2023

DOI: 10.15586/qas.v15i4.1396

© 2023 Codon Publications
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (http://creativecommons.org/licenses/by-nc-sa/4.0/)

Introduction

Phenylketonuria (PKU) is a metabolic disease caused by the absence of phenylalanine hydroxylase (PAH) enzyme, which converts phenylalanine (Phe) to tyrosine, or its cofactor tetrahydrobiopterin (BH4) because of autosomal recessive inheritance (Blau et al., 2010; Neto et al., 2018). The disease was first described by Ivar Asbjørn Følling in 1934. Untreated PKU leads to progressive mental impairment characterized by eczematous rashes, autism, seizures, and other clinical manifestations (Blau et al., 2010). PKU patients account for approximately 32% of global cases, with the highest prevalence observed in Turkey. Owing to the high rate of consanguineous marriages, approximately one in every 3,500–6,500 individuals in Turkey suffer from this disease, while the rate is lower in the United States, with one in every 10,000–15,000 individuals having PKU (Dobrowolski et al., 2011). It is reported that there is no known drug treatment for the disease. PKU can be treated if diagnosed early and a Phe-restricted diet is initiated from infancy. The main goal of dietary treatment is to maintain a Phe level of below 6 mg/dL in the serum while ensuring that patients must receive the minimum amount of Phe necessary for vital functions (Kısa et al., 2017; Özboy, 2002). Therefore, the products used in diet therapy should be special medical foods with reduced or no Phe content. Since the special diet required for this disease should also be adequate and balanced in terms of protein, vitamins, energy, minerals, and Phe, it is important to select foods from free or limited food groups. One of the main differences of PKU from other diseases requiring a special diet is the very limited variety of foods that patients can consume and the limited production or availability of foods specifically meant for these patients in our country, resulting in the majority of products being imported from abroad. Another important aspect of PKU is that in an optimal dietary regimen, foods must be tasty, easily accessible, and consumable (MacDonald, 2011). The Phe-restricted diet generally comprises fruit- and vegetable-based diet, while dairy and meat products, grains, and legumes are restricted due to their high protein contents.

Even if successful, maintaining this diet throughout life is challenging for patients because of the limited variety of foods available. Therefore, the search for alternative foods is essential (Pimentel et al., 2014).

Soy, which is considered to be very close to animal-based foods and provides an alternative for patients who have difficulty consuming such foods, stands out. Soybean plant belongs to the Papilionoideae family of the Leguminosae order, and its cultivated variety Glycine max. (L. ) Merrill is grown as soybean (De et al., 2022). Soybean and its products have gained popularity as a quality protein source and are used in the production of functional foods. In addition to its high-quality protein content, soy is rich in dietary fiber and isoflavones. It is also notable for its cholesterol-free and low saturated fat content. Soy has three main functions as food: oil products (glycerol, refined soybean oil, and soy lecithin), whole soy products (soybean, soy sprouts, soymilk, soy flour, and tofu), and soy protein products (soy protein concentrates and isolates) (De et al., 2022).

The most practical and nutritious among these varieties is soymilk. Soymilk, consumed in China for many years, is obtained by the water extraction of soybeans. According to the US Food and Drug Administration (FDA, 1999), a daily threshold consumption of 25 g of soy protein is necessary to reduce cholesterol. According to a US epidemiologic research, the average daily soy protein consumption for vegans is 13.1 g and that for nonvegetarians 4.9 g. These intakes are much higher than the average soy protein intake by the US population (Zamora-Ros et al., 2012). In Japan, people following a traditional diet typically consume 7–10 g of soy protein per day, or around 10% of their total protein consumption from food (Messina et al., 2006). Chinese women consume 15.1–24.9 g of soy protein per day (Yang et al., 2005). Soymilk is considered as an alternative to human milk because of its amino acid composition, and has the best ratio among plant proteins. Soymilk is produced in flavored, condensed, and reconstituted variants. Soymilk is used as a substitute for cow’s milk, as it contains all essential amino acids required for human consumption according to Food and Agriculture Organization (FAO) and World Health Organization (WHO; Chen et al., 2012). Since the early 1990s, soy has been recognized as a functional food because of its bioactive components, including protease inhibitors, phytosterols, saponins, phenolic acids, phytic acid, tannins, and isoflavones, which are discovered to reduce the risks of cancer, human immunodeficiency virus (HIV), cardiovascular diseases, and osteoporosis (Özcan et al., 2015). The digestibility of soymilk by humans is 91%, which makes it a valuable food product. However, undesirable flavors and odors caused by daidzein and genistein isoflavones, produced by soaking soybeans, are eliminated by the use of activated carbon, as demonstrated in a study conducted by Shahidi and Naczk (1995), which also showed effectiveness of soybeans in development of color and aroma.

Phenylalanine from protein solutions is either removed through the enzymatic hydrolysis of proteins, or through ultrafiltration, active carbon adsorption, or resin adsorption. In order to remove maximum Phe, proteins are usually hydrolysed thoroughly, generating various amino acids and oligopeptides. Because ultrafiltration results in the loss of a significant quantity of low molecular weight nutrients, that is, amino acids and oligopeptides, its application is restricted for post-processing. Therefore, adsorption appear as a more promising post-processing technique for Phe removal (Su et al., 2021). The methods that are frequently used involve the selective adsorption of Phe on solid matrices, such as activated carbon or ion exchange resins, which is followed by its desorption and crystallization. In the process of creating Phe-free dietary formulae for PKU patients, adsorption is also used to extract Phe from protein hydrolysates (Clark et al., 2012). Numerous investigations on the adsorption of Phe on various materials, including polymeric resins, activated carbons, zeolites, and ion exchangers, have been documented in scientific literature (Díez et al., 1998; Fei-Peng et al., 2012; Ghosh et al., 2011; Titus et al., 2003). However, the generation and regeneration of these adsorbents is expensive; however, using low-cost adsorbents could lower these expenses (Clark et al., 2012).

Different techniques are used for detecting amino acids in alternative foods for patients with PKU, or in different areas. The first of these is ion exchange chromatography. High-performance liquid chromatography (HPLC) and gas chromatography–mass spectroscopy (GC-MS) are also used. Derivatization method is generally required when HPLC is used for separation of amino acids (Paramás et al., 2006; Piecyk et al., 2007; Su et al., 2021). The last method used is spectrophotometry. Tyrosine, tryptophan, and Phe are aromatic amino acids, and they have characteristic absorption bands in the ultraviolet region of 240–310 nm. Using the absorbance of Phe at 280 nm in spectrophotometer, determination is carried out in the sensitivity range of 0.05–2.0-mg/mL protein. However, the intensity of peaks in the second-derivative spectrum of proteins and peptides is related to the exposure of aromatic amino acids, and how close they are to the C- or N-terminal position of the aromatic group. In addition, since interference from various substances that absorb at 280 nm is observed, in some studies it is preferable to take measurements spectrophotometrically at 280 nm and 260 nm and make the calculation using the correction factor given as follows:

Protein (mg/mL) = 1.55A280 – 0.76A260,

where A280 = absorbance value at 280 nm, and A260 = absorbance value at 260 nm (Barbosa et al., 2002).

Derivative spectrophotometry is an analytical technique used for extracting and analyzing both qualitative and quantitative information from spectra consisting of unresolved bands. Derivative spectra are produced by processing spectrophotometer output. The use of derivative spectra increases the sensitivity of detecting small spectral features and reduces the error caused by overlapping of analyte spectral bands by interfering with bands of other species in the sample (Eskandari et al., 2006). The differentiation process in ultraviolet (UV)-visible field spectroscopy is applied as follows:

Zero order

A = εbc

First order

dAdλ=dεdλ=bc

nth order

dnAdλndnεdλnbc

where:

λ: wavelength (nm)

ɛ: molar extinction coefficient (L/mol cm)

b: sample path length (cm)

c: sample concentration (mol/L)

The derivative spectrum is obtained by plotting absorbance values against the wavelengths of the rays sent on a substance having absorption in a visible region. Derivative spectroscopy is expressed with the equation, A = f(x), where A is the absorbance and x is the wavelength. The derivative at each point of the function is calculated as d A/d λ, and if these derivative values are plotted against wavelength, a derivative spectrum is formed. Derivative studies show the slope of the spectrum and clearly reveal shoulder and elbow formations (Figure 1), as well as peaks and inflection points in the spectrum, to achieve accurate results. At the same time, a deformation in the spectrum line shows an impurity in the sample. The application of derivatives dilutes bands in the spectrum and allows their complete separation. Thus, it is possible to separate substances or their bands that make up a mixture. With the application of derivative spectroscopy, mixture samples are prevented from affecting each other by interfering in the spectrum, and it is possible to perform spectroscopic analysis of such substances. Derivative spectra enable the determination of two compounds together by facilitating the separation of intertwined bands in the mixture of two compounds in quantitative analyses. Moreover, derivative spectra are used in the identification of mixtures in qualitative analyses, in impurity controls, and in many pharmaceutical analyses, such as toxicology and industrial applications, to analyze easily without requiring any separation while working in turbid environments, such as suspensions. Derivative spectra are also used widely in field analyses and in the analysis of proteins, amino acids, and food dyes in foods (Owen, 1995).

Figure 1. Order of derivative spectra (Owen, 1995).

Driven by the limited selection of foods for PKU patients and the lack of sufficient production of proper foods for these patients, the aim of this paper was to add a new alternative to the restricted diets of PKU patients, considering the high nutritional value of soymilk. In this study, Phe was removed for PKU patients by protease hydrolysis of Aspergillus oryzae and papain, consequtively removed with activated carbon via adsorption from soymilk, obtained by the water extraction of soybeans. The removal rate of Phe from soymilk was calculated by second-derivative spectrometry, and dry matter, fat, protein, and dietary fiber contents of soymilk and the newly obtained product were examined.

Materials and Methods

Material

Soybeans were purchased from Ingro-Asaf Bilişim ve Pazarlama (İstanbul, Turkey) and stored at +4°C in a refrigerator.

Preparation of soymilk: Soybeans were washed and soaked in drinking water at +4°C for 16 h. After soaking, bean hulls were purged from soybeans. The soaked soybeans were then blended with water at a ratio of 5:1 (H2O:soybeans) at 90°C for 5 min using a blender (AR1052 Technoart, Arzum, İstanbul, Turkey). The resulting slurry was filtered with a generic plastic household sieve, and insoluble residue was discarded from soymilk. The soymilk was heated at 90–95°C for 15 min. Approximately 500 g of soymilk was obtained from 100 g of soybeans (Kwok et al., 1999; Metussin et al., 1992).

Chemical analysis of soymilk and phenylalanine-reduced soymilk

The gravimetric method 934.01 of Association of Official Analytical Chemists (AOAC, 2006) was used to determine the dry matter content of soymilk. The crude protein content of soymilk was calculated using the Kjeldahl method (AOAC gravimetric method 991.20). The factor of 6.25 was used for milk products. The Gerber method was used to determine fat content in soymilk and the final product after removal of Phe (Pearson, 1970). For determining crude fiber, 1 g of dried soymilk sample was boiled for 30 min in a flask with 0.255-N sulfuric acid (Merck, Germany). The solution was cooled and filtered through a Büchner funnel and then washed with distilled water. The resulting solution was transferred into a flask containing boiling 0.313-N NaOH (Merck) and kept for 30 min. The solution was filtered through a pre-dried and weighed filter paper, and sequentially washed with HCl (1% v/v) (Sigma-Aldrich, USA), water, ethanol (80% v/v) (Sigma-Aldrich), and finally with diethyl ether (Sigma-Aldrich). The filter paper was collected carefully and placed in a pre-weighed crucible. It was dried in an oven (ED 53; Binder, Germany) at 102±2°C until a constant weight was obtained. The crucible with filter paper was ashed in a muffle furnace (PAF 120; Protherm, Turkey) at 500–550°C (Food and Agriculture Organization [FAO], 1986):

Crude fiber (%) = (A – B ÷ sample weight) × 100,

where:

A: weight (g) after ashed in a muffle furnace,

B: weight (g) after oven-drying.

Preparation of protein hydrolysates

Soymilk solution (0.40 g/mL) was prepared in a 0.01-M phosphate buffer (Sigma-Aldrich) at pH 6. Hydrolization was performed with 1 g of protease of Aspergillus oryzae (Sigma-Aldrich) at 50°C for 1 h, followed by treatment with 2 g of protease of papain (Merck) at a constant temperature of 50°C for 4 h. The hydrolysis was stopped by keeping it in an ice bath at 10°C (Amiri-Rigi et al., 2012; Lopes et al., 2005; Silvestre et al., 2009).

Removal of phenylalanine from hydrolysate

Prepared protein hydrolysate, 100 mL, was heated and stirred with a magnetic stirrer (MSH 20 A; Wisestir, South Korea) at 25°C for 30 min. Then, 8 g of activated carbon (Thermo Fisher Scientific, UK) were added to the solution and again stirred for a while. After the addition of activated carbon, the hydrolysate was centrifuged at 5,000 rpm for 10 min at 25°C (Model 2-16 PK; Sigma-Aldrich, Germany) and filtered through filter paper (Whatman No. 1; England) (Lopes et al., 2005; Soares et al., 2006).

Determination of phenylalanine in soymilk and phenylalanine-reduced final product

Absorbance of prepared samples was measured at 250–280 nm at 1-nm intervals, and the second-derivative spectra were plotted. For standard curve, stock solutions of Phe (6.05 × 10-4 mol/L), tyrosine (5.52 × 10-4 mol/L), and tryptophan (4.90 × 10-4 mol/L) were prepared in a 0.01-M phosphate buffer solution (Sigma-Aldrich) at pH 6. Then, successive dilutions of Phe standard solution were prepared to have Phe concentrations in a range of 0.30 × 10-4–1.82 × 10-4 mol/L. Spectra of these diluted solutions were recorded between 250 and 280 nm using spectrophotometer (SP-3000 Plus; Optima, Japan), and third negative peak heights from second-derivative spectra were used to plot standard graph. In all, 10-mL samples were taken from soymilk and Phe-reduced products, and 0.1 mL of 5.7-M HCl (Sigma-Aldrich) was added to each sample. The samples were hydrolyzed in an étuve (ED 53; Binder, Germany) at 110°C for 24 h. After removing from étuve, the residue was dissolved in 30 mL of distilled water and adjusted to pH 6 with 1-M sodium phosphate buffer (Sigma-Aldrich). The absorbance values were measured and their second derivatives were calculated. The height of third negative peak was compared with the standard graph to determine Phe content. The removed Phe was calculated using the following equation (Ichikawa and Terada, 1977, 1979; Lopes et al., 2005; Silvestre et al., 2009):

Removed Phe=Phecontent in soymilkPhecontent in Phereduced soymilkPhecontent in soymilk

Statistical analysis

All experiments were replicated in triplicate. Significant difference between the produced soymilk and the soymilk after Phe extraction was determined by a one-sample t-test using the IBM SPSS Statistics 22 software. A significance level of 0.05 was used for statistical analysis.

Results

Chemical analyses of soymilk and phenylalanine-reduced soymilk

Total dry matter content

The total dry matter content of soymilk samples was calculated as 8.61±0.20% (w/w), and as 8.49±0.03% (w/w) in Phe-reduced soymilk. No significant difference between soymilk and Phe-reduced soymilk was observed based on the t-test (P < 0.05) (Table 1). Cruz et al. (2007) reported a dry matter content of 8.27% (w/w) in soymilk, Pathomrungsiyounggul et al. (2007) discovered a moisture content of 5.69% (w/w), and Artık (1989) reported a dry matter content of 9.2% (w/w).

Table 1. Chemical properties of soymilk and phenylalanine-reduced soymilk.

Soymilk (control) Phenylalanine-reduced soymilk
Dry matter content (% w/w) 8.61±0.20a 8.49±0.03a
Protein content (% w/w) 2.74±0.46a 1.94±0.14b
Phenylalanine content (mg/L) 40.53±0.65a 5.09±0.13b
Fat content (% w/w) 2.20±0.26a 2.73±0.87a
Crude fiber content (% w/w) 0.41±0.51a 0.45±0.47a

Means on the same row with different superscript letters differ significantly (P< 0.05)

Crude protein content

The average protein content in soymilk was determined as 2.74±0.46% (w/w) and the same in Phe-reduced soymilk was 1.94±0.14% (w/w). The reduction in protein content was 29.19%, which was statistically significant (P < 0.05) (Table 1). Bricarello et al. (2004) reported the protein content in soymilk as 2.5% (w/v). Liu and Chang (2013) analyzed the nutritional and physicochemical properties of commercial soymilk products and performed crude protein determination using Kjeldahl method. Among the 39 products analyzed, only three had a protein content exceeding 3% (w/w), with an average value of 2.6% (w/w). The standard protein content for soymilk set by the Soyfoods Association of America (SAA) (1996) is 3% (w/w). Hajirostamloo (2009) reported protein content of soymilk as 2.74% (w/w) whereas Artık (1989) reported protein content in soymilk as 3.6% (w/w). The highest crude protein values for soymilk appeared as 6.74–6.84% (w/w) (De et al., 2022). Variations in the protein content of soymilk are attributed to the type of raw material used and production process and conditions.

Fat content

The fat content of soymilk was found as 2.20±0.26% (w/w) and as 2.73±0.87% (w/w) in Phe-reduced soymilk. No statistically significant difference was observed between Phe-reduced soymilk and the control (P < 0.05). De et al. (2022) reported a fat content of 3.5–3.9% (w/w), Cruz et al. (2007) discovered a fat content of 1.86% (w/w), and Hajirostamloo (2009) noted a fat content of 0.77% (w/w) in soymilk. Our results conformed to the range values of fat content reported in the literature.

Crude fiber determination

Crude fiber content determined in soymilk samples was 0.41±0.51% (w/w) and in Phe-reduced soymilk, it was 0.45±0.47% (w/w). The results showed nonsignificant difference (P < 0.05) (Table 1). This could be considered a positive outcome of the study. Previous studies have also found low levels of crude fiber content in soymilk. De et al. (2022) discovered 0.14–0.16% (w/w) crude fiber content in soymilk. Gandhi (2009) reported a wide range of 0–4% (w/w) crude fiber content in soymilk. The production method of soymilk and the type of soybeans used in production are the factors that contribute to variation in crude fiber content. Adebayo-Tayo et al. (2009) investigated the physicochemical quality of powdered soymilk and revealed the lowest crude fiber content as 2.05% (w/w) and the highest as 2.34% (w/w) among branded and non-branded soymilk powders, while Liu and Chang (2013) examined commercial soymilk products and reported that 67% of the products contained less than 0.6% (w/w) crude fiber. Bricarello et al. (2004) found that soymilk contained 0.13% (w/w) of crude fiber. Some studies have reported that soymilk does not contain any crude fiber (Al and Oladimeji, 2008; DeMan et al., 1987; Granata and Morr, 1996). In spite of the fact that raw soybean is known as a good source of crude fiber (5.4–7.5% [w/w]), compared to other legumes, it is obvious that soymilk cannot be considered as a healthy source of fiber (Siulapwa and Mwambungu, 2014).

Determination of phenylalanine content in soymilk and phenylalanine-reduced final product

Standard dilutions were prepared with Phe concentration ranging from 0.30 × 10-4 to 1.82 × 10-4 mol/L in 0.01-M phosphate buffer at pH 6.0 and measurements were taken at 250–280 nm with 1-nm intervals (Figure 2). The collected absorbance data were used to plot an absorbance versus wavelength graph (Figure 3). Then, in order to calculate the second derivative using spectrophotometry, the following mathematical equation provided by Owen (1995) was used:

Dλ = (Aλλ – 2 Aλ + Aλλ) ÷ Δλ2,

where Dλ is the derivative amplitude, λ is a particular wavelength (nm), Δλ is a very close wavelength to a particular wavelength (nm), and Aλ is absorbance at a particular wavelength.

Figure 2. Second-derivative spectrometry graphs of standard phenylalanine solutions.

Figure 3. Absorbance versus wavelength graph.

In the second-derivative spectra, each graph exhibited seven negative peaks (Figure 2). In addition, a standard graph was drawn based on the wavelength (262 nm) at which third negative peak took place (Figure 4) (Ichikawa and Terada, 1977; Lopes et al., 2005; Soares et al., 2006). After drawing the standard graph, measurements were taken at 250–280 nm with 1-nm interval to determine how much Phe content was reduced in soymilk and Phe-reduced soymilk samples (Figures 5 and 6).

Figure 4. Standard graph of second-derivative spectrometry.

Figure 5. Second-derivative spectrometry wavelength–absorbance graph of soymilk.

Figure 6. Second-derivative spectrometry wavelength–absorbance graph of phenylalanine-reduced soymilk.

Ichikawa and Terada (1977) demonstrated that at pH 7, the absorption bands of Phe were masked in the absence of derivative spectra of amino acid mixtures (tryptophan, tyrosine, and Phe). They found that these effects were reduced in the first derivative, but in the second derivative, tyrosine and tryptophan showed completely flat spectra of 245–270 nm, while Phe exhibited characteristic spectral bands. Thus, the authors strongly suggested that the presence of Phe could be determined by the second-derivative spectrum, even in the presence of other amino acids. Miclo et al. (1995) used the first- and second-derivative spectrometry for the characterization of aromatic amino acid residues. Phe exhibited six peaks and six negative peaks at pH 1.9 from 240- to 275-nm wavelength. In a mixture of Phe and tryptophan, Phe had a specific difference between the peak at 254.7 nm and the negative peak at 257.6 nm, and this range of wavelength was used to characterize Phe. Nozaki (1990) reported that determining the amino acid content using spectrophotometry is quite challenging due to factors, such as natural composition, impurities, or turbidity. Therefore, the second derivative method was applied for accurate detection of Phe. Phe was determined by measuring the heights of the peaks at 264 nm in specific dilutions of aromatic amino acid mixtures. The number of peaks and range of wavelength in Phe spectra depend on the instrument used, spectrophotometer, software, solvent type, pH value of the process, or the amino acid used for standard solutions (free or N-acetyl ester) (Barbosa et al., 2002).

The number of peaks in these spectra is higher than that of the prepared samples for the standard graph, which is normal considering the possibility of slight interference from other amino acids. The Phe content was computed by calculating the height (Δh) of the peaks at 262 nm in soymilk and soymilk hydrolysates and substituting them into the equation of standard graph (Figure 4). The computed Phe content is presented in Table 1. From these results, the Phe reduction rate in soymilk was calculated as 87.44%.

Lopes et al. (2005) treated skimmed milk powder with the protease of Aspergillus oryzae and papain, followed by Phe removal using activated carbon, to prepare dietary supplements for PKU patients. They achieved a Phe removal rate of 96%–99%, and Phe concentration in the final product was reported as 0.060 × 10-4 mg/100 mg protein. Carreira et al. (2008) aimed to produce wheat flour with low Phe content that could be consumed in PKU diet. They extracted proteins enzymatically, followed by hydrolysis using enzymes, and evaluated the effectiveness of Phe removal using activated carbon with second-derivative spectrometry. They achieved a Phe removal of 66.28% and reported Phe content in the final product as 5224.4 mg/kg. Capobiango et al. (2007) utilized Bacillus licheniformis protease for extraction, pankreatin for hydrolysis, and activated carbon as an adsorbent for Phe removal from corn using the second-derivative spectrometry method. They accomplished a Phe removal rate of 97.55%, with final Phe content as 2,408 mg/kg.

Conclusions

In this study, soymilk was produced from soybeans, and to facilitate its use for PKU patients, protein hydrolysis was performed using protease of Aspergillus oryzae and papain, followed by Phe removal with activated carbon. Phe concentration in soymilk was determined using the second-derivative spectrometry method, used for the first time for determining Phe in soymilk. These results would serve as a guide for the future laboratory studies.

As stated in the Introduction section, it is not mandatory to produce a complete Phe-free food for PKU patients, because the main treatment strategy is to regulate Phe concentration in the serum at certain levels. In Phe-reduced soymilk, the Phe content was reduced by 87.44%, compared to the control, and the crude protein content was reduced by 29%. The data obtained from this study demonstrate that soymilk is suitable for Phe extraction and can be used as an alternative food for PKU patients. Imported products used for PKU patients in Turkey impose a significant financial burden on consumers. Soymilk can be produced domestically by conducting continuous research and adding new flavors, thus providing a new option for PKU patients, and creating a new market for the industry. In order to improve the quality of the final product, further optimization studies are conducted on soymilk by utilizing different proteases and with different processing conditions for production.

Conflict of Interest

The authors declared no conflict of interest.

Funding

This work is funded by the Sivas Cumhuriyet University Scientific Research Project Fund (CÜBAP) under project number M-779.

Author Contributions

EG was responsible from conceptualization, project administration, visualization, draft review and editing. YT did the formal analysis, methodology, validation, visualization and prepared the original draft. All authors have read and agreed to the published version of the manuscript.

REFERENCES

Adebayo-Tayo, B.C., Adegoke, A.A. and Akinjogunla, O.J. 2009. Microbial and physico-chemical quality of powdered soymilk samples in Akwa Ibom, South Southern Nigeria. African Journal of Biotechnology 8(13): 3066–3071.

Al, K. and Oladimeji, G.R. 2008. Production and quality evaluation of soy-corn milk. Journal of Applied Biosciences 1(2):

Amiri-Rigi, A., Emam-Djomeh, Z., Mohammadifar, M.A. and Mohammadi, M. 2012. Spray drying of low-phenylalanine skim milk: optimisation of process conditions for improving solubility and particle size. International Journal of Food science & Technology 47(3): 495–503. 10.1111/j.1365-2621.2011.02869.x

Artık, N. (1989). Türkiye’de yetiştirilen bazı soya varyetelerinden elde edilen soya sütlerinin amino asit profilinin belirlenmesi. Gıda 14(6): 381–384.

Association of Official Analytical Chemists (AOAC). 2006. Official methods of analysis of AOAC international, 18th edition. AOAC, Gaithersburg, MD.

Barbosa, C.M.D.S., Morais, H.A., Silva, V.D.M., Oliveira, M.C.D. and Silvestre, M.P.C. 2002. Standardization of the analytical method for evaluating the degree of exposure to phenylalanine in casein hydrolysates, by second derived spectrophotometry (Padronização de método analítico para avaliação do grau de exposição da fenilalanina em hidrolisados de caseína, por espectrofotometria derivada segunda). Revista Brasileira de Ciências Farmacêuticas 38(1): 113–119. 10.1590/S1516-3322002000100012

Blau, N. van Spronsen, F.J. and Levy, H.L. 2010. Phenylketonuria. The Lancet, 376(9750): 1417–1427. 10.1016/S0140-6736(10)60961-0

Bricarello, L.P., Kasinski, N., Bertolami, M.C., Faludi, A., Pinto, L.A., Relvas, W.G., et al. 2004. Comparison between the effects of soymilk and non-fat cow milk on lipid profile and lipid peroxidation in patients with primary hypercholesterolemia. Nutrition 20(2): 200–204. 10.1016/j.nut.2003.10.005

Capobiango, M., Lopes, D.C.F., Carreira, R.L., de Oliveira Afonso, W., Segall, S.D. and Silvestre, M.P.C. 2007. Optimization of enzyme-assisted processes for extracting and hydrolysing corn proteins aiming phenylalanine removal. International Journal of Food Engineering 3(6): 1–19. 10.2202/1556-3758.1268

Carreira, R.L., Silva, M.R., Lucia, P.A., Starling Aguiar, M.J.B., Januario, J.N., Silvestre, M.P.C. 2008. Association of two enzymes for obtaining low phenylalanine protein hydrolysates from wheat flour. International Journal of Food Engineering 4(7): 1–9. 10.2202/1556-3758.1544

Chen, K., Erh, M.H., Su, N.W., Liu, W.H., Chou, C.C., Cheng, K.C. 2012. Soyfoods and soybean products: from traditional use to modern applications. Applied Microbiology and Biotechnology 96: 9–22. 10.1007/s00253-012-4330-7

Clark, H.M., Alves, C.C.O., Franca, A.S. and Oliveira, L.S. 2012. Evaluation of the performance of an agricultural residue-based activated carbon aiming at removal of phenylalanine from aqueous solutions. LWT—Food Science and Technology 49: 155–161. 10.1016/j.lwt.2012.04.026

Cruz, N., Capellas, M., Hernández, M., Trujillo, A.J., Guamis, B. and Ferragut, V. 2007. Ultra high pressure homogenization of soymilk: microbiological, physicochemical and microstructural characteristics. Food Research International 40(6): 725–732. 10.1016/j.foodres.2007.01.003

De, B., Shrivastav, A., Das, T. and Goswami, T.K. 2022. Physicochemical and nutritional assessment of soymilk and soymilk products and comparative evaluation of their effects on blood gluco-lipid profile. Applied Food Research 2: 100146. 10.1016/j.afres.2022.100146

DeMan, L., DeMan, J.M. and Buzzell, R.I. 1987. Composition and properties of soymilk and tofu made from Ontario light hilum soybeans. Canadian Institute of Food Science and Technology Journal 20(5): 363–367. 10.1016/S0315-5463(87)71332-7

Díez, S., Leitão, A., Ferreira, L. and Rodrigues, A.A. 1998. Adsorption of phenylalanine onto polymeric resins: equilibrium, kinetics and operation of a parametric pumping unit. Separation and Purification Technology 13: 25–35. 10.1016/S1383-5866(97)00053-1

Dobrowolski, S.F., Heintz, C., Miller, T., Ellingson, C., Ellingson, C., Özer, I., et al. 2011. Molecular genetics and impact of residual in vitro phenylalanine hydroxylase activity on tetrahydrobiopterin responsiveness in Turkish PKU population. Molecular Genetics and Metabolism 102(2): 116–121. 10.1016/j.ymgme.2010.11.158

Eskandari, H., Saghseloo, A.G. and Chamjangali, M.A. 2006. First-and second-derivative spectrophotometry for simultaneous determination of copper and cobalt by 1-(2-pyridylazo)-2-naphthol in Tween 80 micellar solutions. Turkish Journal of Chemistry, 30(1): 49–63.

Food and Agriculture Organization (FAO). 1986. Manuals of food quality control 7. Food analysis: general techniques, additives, contaminants and composition. Food and Agriculture Organization Food and Nutrition Papers 14(7): 1–238. FAO, Rome, Italy.

Food and Drug Administration (FDA). 1999. Food labeling: health claims; soy protein and coronary heart disease. Food and drug administration, HHS. Final rule. Federal Register 64(206): 57700–57733.

Fei-Peng, J., Zhao-Di, F., Li, S. and Xiao-Qing, C. 2012. Removal of phenylalanine from water with calcined CuZnAl-CO3 layered double hydroxides. Transactions of Nonferrous Metals Society of China 22: 476–482. 10.1016/S1003-6326(11)61201-6

Gandhi, A.P. 2009. Quality of soybean and its food products. International Food Research Journal 16(1): 11–19.

Ghosh, S., Badruddoza, A.Z.M., Uddin, M.S. and Hidajat, K. 2011. Adsorption of chiral aromatic amino acids onto carboxymethyl-b-cyclodextrin-bonded Fe3O4/SiO2 coreshell nanoparticles. Journal of Colloid and Interface Science 354: 483–492. 10.1016/j.jcis.2010.11.060

Granata, L.A. and Morr, C.V. 1996. Improved acid, flavor and volatile compound production in a high protein and fiber soymilk yogurt-like product. Journal of Food Science 61(2): 331–336. 10.1111/j.1365-2621.1996.tb14188.x

Hajirostamloo, B. 2009. Comparison of nutritional and chemical parameters of soymilk and cow milk. World Academy of Science, Engineering and Technology 57(9): 436–438.

Ichikawa, T. and Terada, H. 1977. Second derivative spectrophotometry as an effective tool for examining phenylalanine residues in proteins. Biochimica et Biophysica Acta Protein Structure 494(1): 267–270. 10.1016/0005-2795(77)90154-4

Ichikawa, T. and Terada, H. 1979. Estimation of state and amount of phenylalanine residues in proteins by second derivative spectrophotometry. Biochimica et Biophysica Acta Protein Structure 580(1): 120–128. 10.1016/0005-2795(79)90203-4

Kısa, P.T., Köse, E., Ören, N. and Arslan, N. 2017. The effect of large neutral amino acids on blood phenylalanine levels in patients with classical phenylketonuria. Journal of Basic and Clinical Health Sciences 3: 79–81. 10.5152/jbachs.2017.240

Kwok, K.C., MacDougall, D.B. and Niranjan, K. 1999. Reaction kinetics of heat-induced colour changes in soymilk. Journal of Food Engineering 40(1–2): 15–20. 10.1016/S0260-8774(99)00031-X

Liu, Z.S. and Chang, S.K. 2013. Nutritional profile and physicochemical properties of commercial soymilk. Journal Food Processing and Preservation 37(5): 651–661. 10.1111/j.1745-4549.2012.00696.x

Lopes, D.C.F., Delvivo, F.M. and Silvestre, M.P.C. 2005. Use of activated carbon for removing phenylalanine from reconstituted skim milk powder hydrolysates. LWT—Food Science and Technology 38(5): 447–453. 10.1016/j.lwt.2004.07.021

MacDonald, A., Rocha, J.C., van Rijn, M. and Feillet, F. 2011. Nutrition in phenylketonuria. Molecular Genetics and Metabolism 104: 10–18. 10.1016/j.ymgme.2011.08.023

Messina, M., Nagata, C. and Wu, A.H. 2006. Estimated Asian adult soy protein and isoflavone intakes. Nutrition and Cancer 55: 1–12. 10.1207/s15327914nc5501_1

Metussin, R., Alli, I. and Kermasha, S. 1992. Micronization effects on composition and properties of tofu. Journal of Food Science 57(2): 418–422. 10.1111/j.1365-2621.1992.tb05507.x

Miclo, L., Perrin, E., Driou, A., Mellet, M. and Linden, G. 1995. Determination of the ratios of the aromatic amino acid residues by first-or second-derivative UV spectrometry for a simple characterization of peptides. International Journal of Peptide and Protein Research 46(2): 186–192. 10.1111/j.1399-3011.1995.tb01335.x

Neto, E.V., Laranjeira, F., Quelhas, D., Ribeiro, I., Seabra, A., Mineiro, N., et al. 2018. Mutation analysis of the PAH gene in phenylketonuria patients from Rio de Janeiro, Southeast Brazil. Molecular Genetics and Genomic Medicine 6(4): 575–591. 10.1002/mgg3.408

Nozaki, Y. 1990. Determination of tryptophan, tyrosine, and phenylalanine by second derivative spectrophotometry. Archives of Biochemistry and Biophysics 277(2): 324–333. 10.1016/0003-9861(90)90587-O

Owen, A.J. 1995. Uses of derivative spectroscopy application note. Agilent Technologies, Waldbronn, Germany.

Özboy, Ö. 2002. Development of corn starch-gum bread for phenylketonuria patients. Nahrung (Food) 46(2): 87–91. 10.1002/1521-3803(20020301)46:2<87::AID-FOOD87>3.0.CO;2-Y

Özcan, T., Delikanlı, B. and Akın, Z. 2015. Bioactive components of soybeans and their health effects. Turkish Journal of Agriculture Food Science and Technology 3(6): 350–355. 10.24925/turjaf.v3i6.350-355.248

Paramás, A.M.G., Bárez, J.A.G., Marcos, C.C., García-Villanova, R.J. and Sánchez, J.S. 2006. HPLC-fluorimetric method for analysis of amino acids in products of the hive (honey and bee-pollen). Food Chemistry 95(1): 148–156. 10.1016/j.foodchem.2005.02.008

Pathomrungsiyounggul, P., Grandison, A.S. and Lewis, M.J. 2007. Effects of calcium chloride and sodium hexametaphosphate on certain chemical and physical properties of soymilk. Journal of Food Science 72(8): E428–E434. 10.1111/j.1750-3841.2007.00504.x

Pearson, D. 1970. The chemical analysis of foods, 6th edition. J&A Churchill, London.

Piecyk, M., Śrama, A., Bzducha, A. and Obiedziński, M. 2007. Application of HPLC and GC/MS to quantification of phenylalanine in chosen kinds of food for particular nutritional uses. Acta Scientiarum Polonorum Technologia Alimentaria 6(2): 5–18.

Pimentel, F.B., Alves, R.C., Costa, A.S.G., Torres, D., Almeida, M.F. and Oliveira, M.B.P.P. 2014. Phenylketonuria: protein content and amino acids profile of dishes for phenylketonuric patients. The relevance of phenylalanine. Food Chemistry 149: 144–150. 10.1016/j.foodchem.2013.10.099

Shahidi, F. and Naczk, M. 1995. Food phenolics. Sources, chemistry, effects, applications. Technomic Publishing Companies Inc., Lancaster, PA, 331 p.

Silvestre, M.P., Vieira, C.R., Silva, M.R., Silva, M.C., Lopes, C.O. and Silva, V.D. 2009. Use of an enzymatic process for extracting and hydrolyzing rice proteins aiming at phenylalanine removal. International Journal of Food Engineering 5(1): 1–11. 10.2202/1556-3758.1462

Siulapwa, N. and Mwambungu, A. 2014. Nutritional value of differently processed soybean seeds. International Journal of Research in Agriculture and Food Sciences 2(6): 8–16.

Soares, R.D., Biasutti, E.A., Capobiango, M., Vieira, C.R., Silva, V.D., Morais, et al. 2007. Preparation of enzymatic skim milk hydrolysates with low phenylalanine content. Acta Farm Bonaerense 25(3): 325–332.

The Soyfoods Association of America (SAA). 1996, Mar. Voluntary standards for the composition and labeling of soymilk in the United States. SAA, Walnut Creek, CA.

Titus, E., Kalkar, A.K. and Gaikar, V.G. 2003. Equilibrium studies of adsorption of amino acids on NAZSM-5 zeolite. Colloids and Surfaces A: Physicochemical and Engineering Aspects 223: 55–61. 10.1016/S0927-7757(03)00131-6

Yang, G., Shu, X.O., Jin, F., Zhang, X., Li, H.L., Gao, Y.T. et al. 2005. Longitudinal study of soy food intake and blood pressure among middle-aged and elderly Chinese women. American Journal of Clinical Nutrition 81: 1012–1017. 10.1093/ajcn/81.5.1012

Zamora-Ros, R., Knaze, V., Lujan-Barroso, L., Kuhnle, G.G.C., Mulligan, A.A., Touillaud, M., Slimani, et al. 2012. Dietary intakes and food sources of phytoestrogens in the European Prospective Investigation into Cancer and Nutrition (EPIC) 24-hour dietary recall cohort. European Journal of Clinical Nutrition 66: 932–41. 10.1038/ejcn.2012.36