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Article

Amino Acid Analyses of Plant Foods Used in the Dietary Management of Inherited Amino Acid Disorders

1
National Society for Phenylketonuria (NSPKU), Sheffield S12 9ET, UK
2
Southmead Hospital North Bristol Trust, Bristol BS10 5NB, UK
3
Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara 06100, Turkey
4
Alta Bioscience, Redditch B98, UK
5
NHS Greater Glasgow and Clyde, Royal Hospital for Children, Glasgow G51 4TF, UK
6
Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S5 7AU, UK
7
University College London Hospitals NHS Foundation Trust, London WC1N 3BG, UK
8
Birmingham Children’s Hospital, Steelhouse Lane, Birmingham B4 6NH, UK
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(10), 2387; https://doi.org/10.3390/nu15102387
Submission received: 26 April 2023 / Revised: 9 May 2023 / Accepted: 16 May 2023 / Published: 19 May 2023
(This article belongs to the Special Issue Advances in Phenylketonuria (PKU) Nutrition and Diet Research)

Abstract

:
A low amino acid (AA)/protein diet is the principal treatment for many inherited amino acid disorders (IMDs). Due to their low AA content, plant foods constitute an essential part of diet therapy. However, data on their AA composition are limited, which leads to an estimation of AA intake from protein content rather than an accurate calculation of true AA intake. This study describes the AA content of a total of 73 plant foods (fruits, n = 12; vegetables, n = 51; and other plant foods, n = 10), with the analysis commissioned by the UK National Society for Phenylketonuria (NSPKU) over 15 years. For all fruits and some vegetables (e.g., rocket, watercress and pea shoots), raw samples were used during analysis. All other vegetables were cooked prior to analysis to represent the usual condition of the food at the time of serving. AA analysis was performed with ion exchange chromatography. The median percentage of protein was 2.0% [0.6–5.4%] for the fruits and vegetables analysed (n = 56), although higher in vegetables than in fruits. Each of the five reported AAs (leucine, lysine, phenylalanine, tyrosine, and methionine) supplied 1–5% per g of protein content. From the heterogeneous range of plant foods analysed, the AA/protein ratios differed significantly (2–5% in fruits and 1–9% in vegetables). There was a strong correlation between the amounts of each of the five AAs in the plant foods, but only a small, moderate correlation between the protein and AA content. Overall, this study provides data on the AA content of several plant foods, which are suitable for patients treated with a low AA/protein diet, including many novel plant options. However, only a limited range of fruits and vegetables were analysed due to the high costs of analysis. Hence, more extensive studies with an increased number of plant foods prepared by different cooking methods and replicate samples are necessary, particularly to examine the relationship between the protein and AA content in depth.

1. Introduction

Inherited metabolic disorders (IMDs) treated with low amino acid diets [amino acidopathies; phenylketonuria (PKU), maple syrup urine disease (MSUD), homocystinuria (HCU), type I, II, and III tyrosinemia (TYR I, II and III), organic acidemias; glutaric aciduria type I (GAI)] are a group of rare genetic disorders caused by enzyme deficits in the metabolic pathway of amino acids (AAs) [1,2,3]. Early diagnosis and life-long treatment are essential to prevent signs and symptoms affecting multi-organ systems, including neurodevelopmental deficits, metabolic encephalopathy, liver dysfunction, thromboembolism, and osteoporosis [1,4,5,6,7,8]. Dietary management is the principal treatment for all these disorders. It involves natural protein/precursor AA restriction, exclusion of high-protein foods (e.g., meat, fish, eggs, and chicken), the addition of a precursor-free protein substitute, and special low-protein foods (e.g., bread, pasta). Although there are some pharmaceutical options that enable dietary relaxation, this is only in a sub-section of patients with PKU [9,10] or homocystinuria [11].
Due to their low protein content (<3–8% in vegetables; <1–1.5% in fruits) [12], fruits and vegetables constitute an essential part of dietary management. They have many benefits. They provide variety; necessary vitamins, minerals, fibre and phytochemicals [13]. Fibre and polyphenols are known to promote a healthy gut microbiota [14,15], and all the nutrients have health-promoting effects, including a reduced risk of cardiovascular disease [16,17], certain types of cancer [17] and cognitive disorders [18]. Given these benefits, the World Health Organization (WHO), recommends a daily intake of at least five portions (i.e., 400 g) of fruits and vegetables daily (excluding potatoes, sweet potatoes, cassava, and other starchy roots) [19]. Many patients with classical forms of amino acid disorders tolerate less than 10 g/day of natural protein, which severely limits the amount of natural food that can be eaten, including fruits and vegetables. Depending on their protein and AA content, some fruits and vegetables can either be given without measurement (i.e., exchange-free food) or they must be calculated/measured as a part of the daily protein/amino acid allowance. Thus, the determination of the protein and AA content of fruits and vegetables is essential. This will help metabolic dietitians perform accurate dietary calculations so they can give appropriate guidance to patients and achieve optimal metabolic control.
Overall, there are around 3000 known fruits and vegetables. However, there is limited data on their AA content. In the UK, the last amino acid dataset was published in 1980 [20], and the number of foods analysed for AA content was only 1200 with a narrow range of analysis for fruits and vegetables. The low interest in performing the AA analysis of foods can be explained by high analysis costs (around GBP 400 per sample for food analysis), lack of AA food labelling requirements, and limited relevance for the general population. Hence, in IMD, the current practice is to commonly estimate the AA content of foods from their protein content. For some AAs, such as phenylalanine (Phe), it is recognised that protein contains around 5% Phe in foods such as animal milk and cereal protein sources. However, this is not consistent for fruits and vegetables, as their protein content contains a lower amount of Phe (3–4%). In a technical report published by Kim et al. [21], the minimum and maximum Phe/protein ratios have been reported as: 20–39 mg Phe per 1 g of protein for fruits and 20–40 mg Phe per 1 g of protein for vegetables except for spinach, peas, seaweed, kale, and sweetcorn, which have a higher ratio. Similar inconsistencies apply to the protein amounts of other AAs, including lysine (Lys), leucine (Leu), valine, isoleucine, and methionine (Met). Their contents vary widely, from 1 to 6% in fruits and vegetables, and even wider in cereals and milk products, from 2 to 11% [1,20]. It is essential that reliable AA information be accessible for plant foods that may be utilised in a low protein/AA diet. New plant food options are regularly introduced, but commonly, there is no or limited knowledge about their AA content. The availability of this information would potentially lead to their inclusion, thereby improving dietary diversity, nutrient intake, and satiety for patients with IMD.
The National Society for Phenylketonuria (NSPKU) has a long history of analysing fruit and vegetables for their Phe content [22]. In recent years, the NSPKU has extended the AA analysis to include a wider range of AA in addition to Phe, in order to benefit non-PKU AA disorders.
In this study, we (1) present the AA analysis of different plant foods analysed over the last 15 years, and (2) examine if there is a correlation between the protein and AA content of plant foods in order to facilitate an estimation of the AA content of plant foods from their protein content.

2. Materials and Methods

2.1. Selection, Purchase and Preparation of Foods

Four experienced specialist metabolic dietitians, members of the Medical Advisory Panel of the NSPKU, selected the plant foods to be analysed. The food samples were prepared by SF. The following plant foods were prioritised:
  • Any fruits and vegetables with limited information about their AA content, e.g., banana blossom, rainbow and ruby chard, eddoes, breadfruit, callaloo, ackee, and lotus roots.
  • Manufactured fruits and vegetables prepared by different methods that may alter AA content, e.g., vegetable or fruit crisps; sundried tomatoes.
  • Plant flours and other unusual or miscellaneous manufactured plant-based products.
Most of the food products were obtained from UK supermarkets (e.g., Sainsbury’s, Tesco, and Waitrose) to ensure that the food was representative of foods consumed by the UK IMD community. Due to limited financial resources, only a single AA analysis of foods was conducted, but if there was concern that a single analysis may not yield reliable results, multiple analysis was conducted e.g., avocado, sundried tomatoes, and sweet potato chips. For these foods, food samples were purchased from different supermarkets. Care was taken to purchase fruits and vegetables that were fresh, mature and free from bruises or damage. Some fruits or vegetables were frozen (lotus roots) or tinned (jack fruit, breadfruit, and callaloo), as this was the usual available source.
For fruits, only raw samples were used during the analysis. Many of the vegetables were cooked (boiled or steamed until tender) prior to analysis to represent the usual condition of the food at the time of serving. Some vegetables were raw when analysed, e.g., rocket, watercress and pea shoots.
Prior to amino acid analysis, and under laboratory conditions, a 10 g sample of each solid food (raw, cooked or tinned) was homogenised by freezing with liquid nitrogen. It was then blended in a food processor to ensure a representative sample was taken for analysis. For liquid samples, 1 mL of sample was used. All samples were placed in sealed bags and stored at −20 °C for 24 h prior to analysis.

2.2. Chemicals and Reagents

All chemicals and reagents used in the AA analysis, including hydrochloric acid (HCl), loading buffer (0.1 M HCl), ninhydrin and sodium citrate buffers, were prepared by Alta Bioscience (Redditch, UK). Constant boiling HCl (5.8 M HCl) was made up with a mixture of 800 mL of concentrated HCl and 800 mL of distilled water. The distillate was then collected at 107–109 °C. Loading buffer was prepared from the HCl stock (approximately 5.8 M) by mixing 17.2 mL of HCl with 1 g of phenol and 1 mL of 2,2-thio-diethanol. The mixture was made up to 1000 mL with Elga water.

2.3. Analytical Methodology

The amino acid analysis, first developed by Moore and colleagues in the early 1950s [23,24], was comprised of three main steps. Step 1 involved the hydrolysis of individual AAs from the protein backbone (i.e., release of AAs from the food matrix); step 2, separation of individual AAs using a chromatographic procedure; and step 3, detection and quantification of the separated AAs using calibration standards [25,26].
In this study, the conventional acid hydrolysis method (liquid phase) was used for protein/peptide hydrolysis preceding AA analysis. The samples (100 ± 10 mg) were hydrolysed at 110 °C for 24 h with 6M HCl (Ph.Eur.2.2.56-Method 1) [27].
Samples were then analysed on a Waters 2695 pump/injector system. The AAs were separated by ion exchange chromatography on a strong cation exchange resin using sodium citrate buffer gradients of increasing pH. The ninhydrin reagent was pumped using a Waters 1515 isocratic pump. The ninhydrin reaction occurs in a heated coil at 125 °C situated in a modified column heater. The derivatized AAs are detected in a Waters 2487 variable wavelength UV/VIS detector. Data handling was performed with a Lab Systems “Atlas” integration package. Only one replicate per sample was performed. This method enables the detection of 0.01 nmoles/mg of individual amino acids.
All analyses were performed at AltaBioscience Laboratory (Redditch, UK), accredited to 17025:2017 for AA analysis. The protocol is described in the European Pharmacopoeia 2.2.56 [27].

2.4. Data Analysis

The Phe, Leu, Met, Tyr, and Lys content of 73 plant foods was evaluated. Data on the protein content of foods (g/100 g of food) were obtained from different sources, including the UK [28] and US food composition databases [29], nutritional information on the packaging stated by manufacturers and from published literature [22,30].
A pooled analysis (mean ± SD, median and range) was conducted using data on the protein and AA content of a total of 56 fruits and vegetables. The percentage (%) and the amount (mg) of AAs per gram of protein were calculated. The correlation between protein and AA contents of fruits and vegetables was tested by Spearman’s correlation coefficient. Some fruits and vegetables were not included in the pooled analysis. Fruit crisps (n = 4) were excluded as their nutritional value significantly deviated from that of fresh fruits due to the loss of water content during manufacturing. Sweet potato fries (n = 3), which were lightly coated with flour (e.g., rice, amaranth, corn flour), were also excluded, as their extra ingredients increased protein content and altered the amino acid profile.

3. Results

The amino acid composition of different plant sources (n = 73), including fruits (n = 12), vegetables (n = 51), and plant-based foods (n = 10), was commissioned by the NSPKU over 15 years (Table 1). Eight fruits and fourteen vegetables were raw; thirty-two vegetables were tinned or cooked. The remaining foods were fruit crisps (n = 4), sundried/slow-roasted tomatoes (n = 7), and various plant foods in different dry states, e.g., plant powder and plant flours.

3.1. Amino Acid Analysis of Fruits

Most fruits had a low Phe content of ≤50 mg/100 g. Exceptions were melon crisps, pineapple crisps and passion fruit, which had a Phe content that exceeded 100 mg/100 g. They also had a high Leu (>100 mg/100 g) and Met (>25 mg/100; equivalent) content (Table 1).
Multiple samples of avocado (n = 4) and apple crisps (n = 2) were analysed. The AA composition of the different samples of each food was similar. The protein content of apple crisps was variable, but this data was obtained from the food nutritional analysis on product packaging (Table 1).
With the exclusion of fruit crisps (n = 4), the protein content of fruits ranged from 0.8–2.6 g/100 g (Table 2).
The percentage of protein provided by individual AAs ranged from 1–5% per 1 g of protein, with the highest contribution from Leu (5%), Lys (3%), and Phe (3%), followed by Tyr (2%) and Met (1%) (Table 3). The minimum and maximum AA/protein ratios for fruits varied from 12 to 45 mg/g of protein (<50 mg/g of protein) (Table 3).
We evaluated the correlation between the protein and AA content of fruits, although the number of fruits analysed for AA composition was limited (n = 8). The results indicated a moderate to high correlation between the amount of protein and AAs in fruits (r = 0.74 for Phe; r = 0.80 for Leu; r = 0.63 for Met; r = 0.57 for Tyr; and r = 0.80 for Lys). There was also a moderate-to-strong positive association between the five AAs in fruits (r = 0.58 to 0.98; (Supplementary Table S1).
Overall, fruits had a lower AA content compared to vegetables and some plant flours. Most fruits tested had a low AA content, except for passion fruit and fruit crisps. There was no specific AA/protein ratio (12 to 45 mg/1 g protein in fruits) observed, so it was not feasible to estimate individual amino acid concentrations from their protein content.

3.2. Amino Acid Analysis of Vegetables

The vegetables analysed had a low AA content, but in general, their AA content per 100 g was higher than in fruits (Table 1 and Table 2). Only 18% of the vegetables (n = 9) analysed had a Phe content of <50 mg/100 g. It was greater than 75 mg/100 g in more than half of the vegetables analysed (n = 28). For MSUD, 30 of 51 (59%) vegetables had a Leu content > 100 mg/100 g, and for HCU, 26 of 51 vegetables (51%) had a Met content of >25 mg/100 g.
Multiple samples were analysed for sundried tomatoes (n = 5), slow-roasted tomatoes (n = 2), and sweet potato fries (n = 3). There were significant differences between the protein (data obtained from manufacturers) and AA composition of different brands. For some of the AAs, the difference between the products with the lowest and highest AA content was approximately 2-fold (e.g., Phe content of sundried tomatoes from Baresa vs. Marks & Spencer) (Table 1). Manufactured sweet potato fries (frozen, oven-baked), which were all coated with plant flour, had a higher protein and AA content (≈3-fold) compared to home-cooked sweet potatoes.
Excluding flour-coated sweet potato fries (n = 3), the range of protein in vegetables was 0.6–5.4/100 g) (Table 2).
The percentage of protein provided by individual AAs ranged from 1–5% per 1 g of protein. The highest contribution was from Leu (5%), Lys (5%), and Phe (4%), followed by Tyr (2%) and Met (1%) (Table 3). The minimum and maximum AA/protein ratios for vegetables ranged between 11 and 54 mg/1 g of protein (Table 3).
A correlation analysis was calculated for vegetables (n = 48). There was a moderate positive association between the amount of protein and AAs (r = 0.61 for Phe; r = 0.57 for Leu; r = 0.52 for Met; r = 0.55 for Tyr; and r = 0.61 for Lys) and a moderate-to-strong positive association between all five AAs reported in vegetables (Supplementary Table S1).
There are large differences between the protein and AA composition of vegetables and so no specific AA/protein ratio was observed.

3.3. Other Plant Foods

Ten plant-based foods were analysed for their AA composition (Table 1). Their protein content ranged from 0–8.3 g/100 g, but their AA content was variable depending on the type of plant. Konnyaku, mung bean vermicelli, and potato flour had the lowest protein and amino acid content. Acai berry powder and green banana flour had the highest. There were discrepancies between the protein and AA composition of similar but different branded products, e.g., rice noodles.

4. Discussion

Since the early 1990s, the NSPKU has commissioned the AA analysis of many plant foods in order to safely broaden the range of foods given to patients with PKU. They first reported the Phe content of 172 foods in 2006 [22]. In our paper, we report the analysis of five key AAs in seventy-three plant foods that may be useful in low-AA diets recommended for MSUD, HCU, TYR I, II and III, and GAI. The median percentage of protein was 2.0% [0.6–5.4%] for the fruits and vegetables analysed (n = 56), although higher in vegetables than in fruits. Each of the five AAs is supplied at 1–5% per g of protein content.
In human nutrition, the AA composition of foods is not considered a primary concern. A typical balanced diet based on animal and plant protein sources provides a satisfactory or even excessive intake of protein and essential AAs. However, patients diagnosed with inherited AA disorders are commonly treated with a lifelong low-AA/low-protein diet. In this group of patients, both protein adequacy and the measured intake of specific AAs are important to prevent the accumulation of toxic compounds caused by the defect in the metabolic pathway and to maintain blood levels of affected AAs within a target therapeutic range. The availability of reliable data on the AA content of novel plant sources facilitates improved accuracy of dietary calculations and, therefore, their careful inclusion in the dietary management of these rare conditions. Knowledge about the AA content of foods, such as dudhi, eddoes, ackee, banana blossom, breadfruit, callaloo, and lotus roots expands the range of foods that can be offered and is important for patients from a wide range of cultural and ethnic backgrounds. It is well established that the incidence of IMDs may be 10 times higher in groups with high consanguinity rates [31,32]. They are particularly prevalent in people from the Middle East, South Asia, Turkey and North Africa [33], so it is important to include staple foods eaten globally.
In practice, the most common method of calculating the AA intake is to estimate the AA content from food protein (e.g., assuming 1-g protein is equivalent to 50 mg of Phe in PKU or 0.5-g protein is equivalent to 50 mg of Leu in MSUD). Unfortunately, this is inaccurate as the AA contribution to the total protein content is inconsistent between plants and animal foods and even between similar plants [21,34]. For example, we found variations in the Phe content between Ruby and Rainbow chard and sugar snap peas and mange tout.
Proteins, though commonly representing less than 1% of the fresh weight of fruit and vegetable tissues, are structural constituents that are the major solid components of the cytoplasm of living cells [35]. Legumes are the richest in protein, containing around 8% following preparation [28]. Some leafy vegetables and sweet corn contain over 4% protein, but in most other products, the amount is below 3%. The protein content of fruits is usually particularly low, seldom rising above 1.5% and in many cases falling considerably below 1%. Enzyme systems in fruits always contain a protein fraction [12]. The protein content of fresh fruits or vegetables is calculated by multiplying the total nitrogen content by a factor of 6.25 [12]. This calculation uses the fact that protein contains approximately 16% nitrogen, and the assumption that all nitrogen present is protein. However, it does not consider that appreciable amounts of simple nitrogenous substances can be present in an uncombined form. These include free AAs, chlorophylls, polyamines or alkaloids. Free AAs and related amines such as asparagine and glutamine, normally those that are also present in the proteins of the tissue, appear to make up the bulk of non-protein nitrogen [12,35]. The actual proportion of non-protein nitrogen is greatly variable, and there is little accurate quantitative data about this. It is estimated that in potatoes, 50 to 60% of the nitrogen occurs in the form of simple soluble constituents, while in apples, estimates range from 10 to 70% [36]. In our report, we did not analyse the protein content of plant foods but documented this from different sources, including food databases, manufacturers data or published literature.
The mean percentage contribution per g of protein from the five reported AAs for the fruits and vegetables analysed was Leu (5%), Lys (3–5%), and Phe (3–4%), followed by Tyr (2%) and Met (1%). This is similar to previous reports [18], although Daly et al. [37] reported for fruits and vegetables that the Tyr content mainly varied from 1–4% of protein content. From the heterogeneous range of plant foods analysed, the AA/protein ratios differed significantly; e.g., for Phe, AA/protein ratios (%AA per g of protein) was from 2–5% in fruits, and from 1–9% in vegetables. There was a strong correlation between the amounts of each of the five AAs in the plant foods, but only a small, moderate correlation between the protein and AA content. We have only reported the amino acid content of a limited range of fruits and vegetables, so more data from a wider number of plant foods is necessary to examine the relationship between the protein and AA content in depth. Recently, Daly et al. [37] showed a clear and close correlation between Tyr and Phe content in fruit and vegetables. The correlation between Tyr and protein was lower but still apparent [37].
There are many factors that should be considered when interpreting the protein and AA composition of plant foods. Firstly, the AA content of fruits and vegetables may be analysed in different forms, such as raw vs. cooked, fresh vs. processed (e.g., canned, frozen, dried), or coated with flour or milk. This influences the protein and hence the AA content of foods. For example, we report that the AA content of dried tomatoes and fruit crisps is high, which is far more than their respective raw states. While many fruits are eaten raw, most vegetables are eaten cooked. It is well established that the cooking method alters the AA content of vegetables, and free AAs are sensitive to cooking methods [38,39]. Ito et al. [38] used different methods to cook vegetables, i.e., boiling, roasting in an oven, and a microwave. The total free AA content of vegetables decreased after boiling, with only 30 to 80% of the AA content remaining intact compared with the raw state. The “lost” AAs were recovered from the cooking liquid. Roasting in the oven caused an increase in the content of specific AAs due to the degradation of proteins and peptides into free AAs under heat treatment. Microwave cooking was reported only for cabbage, but resulted in around 80% retainment of free AAs, but interestingly, the amount of Tyr significantly increased. In our study, many vegetables were “boiled until tender” prior to analysis, which may have lowered the AA content.
Furthermore, the pattern of free AAs and the composition of the protein itself vary in plants even with the same type of structure at different stages of development, e.g., between young and old leaves [12]. The degree of ripeness/maturation at the time of sampling influences the protein content. Some fruits such as guava, mango and pineapple have enzymes that are structurally composed of proteins. As the fruits ripen, the protein content of the fruits increases up to the full-ripe stage and declines at the over-ripe stage due to the breakdown of proteins during senescence [40,41]. The origin of the food, genetic variability, and environmental conditions including climate, soil, time of harvest or post-harvest conditions (e.g., storage, processing) all affect the protein and AA content data of plant foods [35,42]. There are also reports comparing conventionally grown and organically produced crops. In two systematic reviews, the concentrations of proteins, AAs and nitrogen were found to be lower by 7–10% in organic crops [43,44]. Although the overall nutritional significance of slightly lower protein or AAs in organic plants is likely to be low, the difference may be important for low-AA/protein diets.
Only a limited number of fruits and vegetables were analysed due to the high costs of analysis. We also did not analyse a range of varieties and species and plants grown under different agronomic conditions. Unfortunately, most fruits and vegetables were only analysed once, and there was limited replicate analysis conducted, so information about the reliability and reproducibility of these results is unavailable. However, ion-exchange chromatography with post-column ninhydrin derivatization was used for the AA analysis. This method minimises interference from the sample matrix, and it is considered a reliable method of AA analysis.
The main cooking method, “boiled until tender”, used in this study, was likely to have lowered the AA content. Generally, there is limited information about the impact of different cooking methods and duration of cooking on the amino acid content of foods. It is probable that contemporary methods of cooking, such as microwaving or air frying, may lead to fewer losses of amino acid content. In future research, the effects of different common cooking methods on the amino acid content of plant foods should be compared. Methods should include air frying, vacuum frying, microwave-assisted or their combinations [45].

5. Conclusions

This study reported data on the AA content of several plant foods that are suitable for patients treated with a low-AA/protein diet, including many novel plant options. The inclusion of new and/or different plant foods is likely to help improve treatment management by increasing dietary variety and satiety. Accurate data on AA content will also enable dietitians to accurately calculate their dietary contribution and safely incorporate these plant foods into dietary plans for patients. The extension of amino acid analysis to an increased number of plant foods prepared by different cooking methods with replicate samples is necessary. Thus, future studies should be conducted to obtain more analytical data on the amino acid composition of plant foods. This would allow the incorporation of information on the amino acid content of a wider range of foods into national food databases and would provide an important resource for health professionals and patients with inherited amino acid disorders.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu15102387/s1, Table S1: Correlation between protein (grams) and amino acids (mg) per 100 g food for fruits and vegetables analyzed by NSPKU.

Author Contributions

Conceptualization, S.F. and A.M.; methodology, S.F., S.H. and A.M.; data analysis, S.F., F.I. and A.M.; writing—original draft preparation, S.F., F.I. and A.M.; writing—review and editing, F.I., S.F., A.M., S.H., B.C., M.H. and C.E.; supervision, A.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The National Brain Appeal and NSPKU. Publication costs were covered by the NSPKU.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

We are greatly indebted to The National Brain Appeal for their financial support to cover amino acid analysis costs.

Conflicts of Interest

S.F. is a member of the advisory board for Nutricia and Meta Healthcare and has received financial support and honoraria from Cambrooke and Vitaflo. M.H. is a member of the advisory board of Nutricia and Applied Pharma. She has received honorarium and research funding from Vitaflo International and Danone, Nutricia. She has received an honorarium from Ajinomoto Cambrooke Inc. A.M. has received research funding from Danone Nutricia, Vitaflo International, Biomarin, MetaX, Applied Pharma Research, Ajinomoto Cambrooke Inc, and Merck Serono; she is a member of the advisory boards for Danone Nutricia, Arla, Meta Health, Viaflo International and Applied Pharma Research. C.E. has received research funding from Danone Nutricia and honoraria from Danone Nutricia, Meta Healthcare and Vitaflo International. F.I., S.H. and B.C. declared no conflict of interest.

References

  1. MacDonald, A.; White, F. Amino acid disorders. In Clinical Paediatric Dietetics, 4th ed.; Shaw, V., Ed.; Wiley-Blackwell Pub-lishing: Hoboken, NJ, USA, 2015; pp. 391–456. [Google Scholar]
  2. MacDonald, A.; van Rijn, M.; Feillet, F.; Lund, A.M.; Bernstein, L.; Bosch, A.; Gizewska, M.; van Spronsen, F.J. Adherence Issues in Inherited Metabolic Disorders Treated by Low Natural Protein Diets. Ann. Nutr. Metab. 2012, 61, 289–295. [Google Scholar] [CrossRef] [PubMed]
  3. Boyer, S.W.; Barclay, L.J.; Burrage, L.C. Inherited Metabolic Disorders: Aspects of Chronic Nutrition Management. Nutr. Clin. Pract. 2015, 30, 502–510. [Google Scholar] [CrossRef] [PubMed]
  4. Van Spronsen, F.J.; Blau, N.; Harding, C.; Burlina, A.; Longo, N.; Bosch, A.M. Phenylketonuria. Nat. Rev. Dis. Primers 2021, 7, 36. [Google Scholar] [CrossRef] [PubMed]
  5. Van Wegberg, A.M.J.; Macdonald, A.; Ahring, K.; BéLanger-Quintana, A.; Blau, N.; Bosch, A.M.; Burlina, A.; Campistol, J.; Feillet, F.; Giżewska, M.; et al. The complete European guidelines on phenylketonuria: Diagnosis and treatment. Orphanet J. Rare Dis. 2017, 12, 1–56. [Google Scholar] [CrossRef]
  6. Frazier, D.M.; Allgeier, C.; Homer, C.; Marriage, B.J.; Ogata, B.; Rohr, F.; Splett, P.L.; Stembridge, A.; Singh, R.H. Nutrition management guideline for maple syrup urine disease: An evidence- and consensus-based approach. Mol. Genet. Metab. 2014, 112, 210–217. [Google Scholar] [CrossRef]
  7. Van Spronsen, F.J.; van Rijn, M.; Meyer, U.; Das, A.M. Dietary Considerations in Tyrosinemia Type I. Adv. Exp. Med. Biol. 2017, 959, 197–204. [Google Scholar]
  8. Morris, A.A.M.; Kožich, V.; Santra, S.; Andria, G.; Ben-Omran, T.I.M.; Chakrapani, A.B.; Crushell, E.; Henderson, M.J.; Hochuli, M.; Huemer, M.; et al. Guidelines for the diagnosis and management of cystathionine beta-synthase deficiency. J. Inherit. Metab. Dis. 2017, 40, 49–74. [Google Scholar] [CrossRef]
  9. Burnett, J.R. Sapropterin dihydrochloride (Kuvan/phenoptin), an orally active synthetic form of BH4 for the treatment of phenylketonuria. IDrugs Investig. Drugs J. 2007, 10, 805–813. [Google Scholar]
  10. Hydery, T.; Coppenrath, V.A. A Comprehensive Review of Pegvaliase, an Enzyme Substitution Therapy for the Treatment of Phenylketonuria. Drug Target Insights 2019, 13, 1177392819857089. [Google Scholar] [CrossRef]
  11. Wilcken, D.E.L.; Wilcken, B.; Dudman, N.P.B.; Tyrrell, P.A. Homocystinuria—The Effects of Betaine in the Treatment of Patients Not Responsive to Pyridoxine. N. Engl. J. Med. 1983, 309, 448–453. [Google Scholar] [CrossRef]
  12. Duckworth, R.B. Fruit and Vegetables, 1st ed.; Pergamon Press: Oxford, UK, 1966; pp. 140–164. [Google Scholar]
  13. Slavin, J.L.; Lloyd, B. Health Benefits of Fruits and Vegetables. Adv. Nutr. Int. Rev. J. 2012, 3, 506–516. [Google Scholar] [CrossRef]
  14. Zimmermann, C.; Wagner, A.E. Impact of Food-Derived Bioactive Compounds on Intestinal Immunity. Biomolecules 2021, 11, 1901. [Google Scholar] [CrossRef]
  15. Wastyk, H.C.; Fragiadakis, G.K.; Perelman, D.; Dahan, D.; Merrill, B.D.; Yu, F.B.; Topf, M.; Gonzalez, C.G.; Van Treuren, W.; Han, S.; et al. Faculty Opinions recommendation of Gut-microbiota-targeted diets modulate human immune status. Cell 2021, 184, 4137–4153.e14. [Google Scholar] [CrossRef]
  16. Zurbau, A.; Au-Yeung, F.; Blanco-Mejia, S.; Khan, T.A.; Vuksan, V.; Jovanovski, E.; Leiter, L.A.; Kendall, C.W.C.; Jenkins, D.J.A.; Sievenpiper, J.L. Relation of Different Fruit and Vegetable Sources With Incident Cardiovascular Outcomes: A Sys-tematic Review and Meta-Analysis of Prospective Cohort Studies. J. Am. Heart. Assoc. 2020, 9, e017728. [Google Scholar] [CrossRef]
  17. Aune, D.; Giovannucci, E.; Boffetta, P.; Fadnes, L.T.; Keum, N.; Norat, T.; Greenwood, D.C.; Riboli, E.; Vatten, L.J.; Tonstad, S. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int. J. Epidemiol. 2017, 46, 1029–1056. [Google Scholar] [CrossRef]
  18. Wu, L.; Sun, D.; Tan, Y. Intake of fruit and vegetables and the incident risk of cognitive disorders: A systematic review and meta-analysis of cohort studies. J. Nutr. Health Aging 2017, 21, 1284–1290. [Google Scholar] [CrossRef]
  19. World Health Organization (WHO). Healthy Diet: Key Facts. 2020. Available online: https://www.who.int/news-room/fact-sheets/detail/healthy-diet (accessed on 19 April 2023).
  20. Paul, A.; Southgate, D.; Russell, J. Amino Acid composition (per 100g foods), Fatty Acid composition (per 100g foods). In First Supplement to McCance and Widdowson’s the Composition of Foods; H.M.S.O.: London, UK, 1980; p. 113. [Google Scholar]
  21. Kim, J.; Boutin, M. A List of Phenylalanine to Protein Ratios for Common Foods; Purdue University: West Lafayette, IN, USA, 2014; ECE Technical Reports; 456p. [Google Scholar]
  22. Weetch, E.; Macdonald, A. The determination of phenylalanine content of foods suitable for phenylketonuria. J. Hum. Nutr. Diet. 2006, 19, 229–236. [Google Scholar] [CrossRef]
  23. Moore, S.; Stein, W.H. Photometric Ninhydrin Method for Use in the Chromatography of Amino Acids. J. Biol. Chem. 1948, 176, 367–388. [Google Scholar] [CrossRef]
  24. Moore, S.; Stein, W.H. Chromatography of Amino Acids on Sulfonated Polystyrene Resins. J. Biol. Chem. 1951, 192, 663–681. [Google Scholar] [CrossRef]
  25. Rutherfurd, S.M.; Gilani, G.S. Amino acid analysis. Curr. Protoc. Protein Sci. 2009, 58, 11–19. [Google Scholar] [CrossRef]
  26. Otter, D.E. Standardised methods for amino acid analysis of food. Br. J. Nutr. 2012, 108 (Suppl. 2), 230–237. [Google Scholar] [CrossRef] [PubMed]
  27. European Pharmacopoeia Comission. European Pharmacopoeia 10 (2.2.56); Council of Europe: Strasbourg, France, 2020; pp. 86–92. [Google Scholar]
  28. UK Food Database. McCance and Widdowson’s Composition of Foods Integrated Dataset. Available online: https://www.gov.uk/government/publications/composition-of-foods-integrated-dataset-cofid (accessed on 19 April 2023).
  29. U.S. Department of Agriculture, Agricultural Research Service. Food Data Central. Available online: https://fdc.nal.usda.gov (accessed on 19 April 2023).
  30. Kowitcharoen, L.; Phornvillay, S.; Lekkham, P.; Pongprasert, N.; Srilaong, V. Bioactive Composition and Nutritional Profile of Microgreens Cultivated in Thailand. Appl. Sci. 2021, 11, 7981. [Google Scholar] [CrossRef]
  31. Sanderson, S.; Green, A.; Preece, M.A.; Burton, H. The incidence of inherited metabolic disorders in the West Midlands, UK. Arch. Dis. Child. 2006, 91, 896–899. [Google Scholar] [CrossRef] [PubMed]
  32. Hazan, G.; Hershkovitz, E.; Staretz-Chacham, O. Incidence of inherited metabolic disorders in southern Israel: A comparison between consanguinity and non-consanguinity communities. Orphanet J. Rare Dis. 2020, 15, 331. [Google Scholar] [CrossRef] [PubMed]
  33. Bener, A.; Mohammad, R.R. Global distribution of consanguinity and their impact on complex diseases: Genetic disorders from an endogamous population. Egypt. J. Med. Hum. Genet. 2017, 18, 315–320. [Google Scholar] [CrossRef]
  34. Day, L.; Cakebread, J.A.; Loveday, S.M. Food proteins from animals and plants: Differences in the nutritional and functional properties. Trends Food Sci. Technol. 2022, 119, 428–442. [Google Scholar] [CrossRef]
  35. Vincente, A.R.; Manganaris, G.A.; Ortiz, C.M.; Sozzi, G.O.; Crisosto, C.H. Nutritional Quality of Fruits and Vegetables. In Postharvest Handling, 3rd ed.; Florkowski, W.J., Shewfelt, R.L., Brueckner, B., Prussia, S.E., Eds.; Academic Press: San Diego, CA, USA, 2014; pp. 69–122. [Google Scholar]
  36. Salunkhe, D.K.; Bolin, H.R.; Reddy, N.R. Storage, Processing, and Nutritional Quality of Fruits and Vegetables, 2nd ed.; CRC Press: Boca Raton, FL, USA, 1991. [Google Scholar]
  37. Daly, A.; Adam, S.; Allen, H.; Ash, J.; Dale, C.; Dixon, M.; Dunlop, C.; Ellerton, C.; Evans, S.; Firman, S.; et al. British Inherited Metabolic Diseases Group (BIMDG) Dietitians Group. UK Dietary Practices for Tyrosinaemias: Time for Change. Nutrients 2022, 14, 5202. [Google Scholar] [CrossRef]
  38. Ito, H.; Kikuzaki, H.; Ueno, H. Effects of Cooking Methods on Free Amino Acid Contents in Vegetables. J. Nutr. Sci. Vitaminol. 2019, 65, 264–271. [Google Scholar] [CrossRef]
  39. Bashir, H.A.; Abu-Goukh, A.A. Compositional changes during guava fruit ripening. Food Chem. 2003, 80, 557–563. [Google Scholar] [CrossRef]
  40. Zhang, J.-J.; Ji, R.; Hu, Y.-Q.; Chen, J.-C.; Ye, X.-Q. Effect of three cooking methods on nutrient components and antioxidant capacities of bamboo shoot (Phyllostachys praecox C.D. Chu et C.S. Chao). J. Zhejiang Univ. Sci. B 2011, 12, 752–759. [Google Scholar] [CrossRef]
  41. Abu-Goukh, A.A.; Abu-Sarra, A.F. Compositional changes during mango fruit ripening. Univ. Khartoum J. Agric. Sci. 1993, 1, 33–51. [Google Scholar]
  42. Masih, L.; Roginski, H.; Premier, R.; Tomkins, B.; Ajlouni, S. Soluble protein content in minimally processed vegetables during storage. Food Res. Int. 2002, 35, 697–702. [Google Scholar] [CrossRef]
  43. Dangour, A.D.; Dodhia, S.K.; Hayter, A.; Allen, E.; Lock, K.; Uauy, R. Nutritional quality of organic foods: A systematic review. Am. J. Clin. Nutr. 2009, 90, 680–685. [Google Scholar] [CrossRef]
  44. Barański, M.; Średnicka-Tober, D.; Volakakis, N.; Seal, C.; Sanderson, R.; Stewart, G.B.; Benbrook, C.; Biavati, B.; Markellou, E.; Giotis, C.; et al. Higher antioxidant and lower cadmium concentrations and lower incidence of pesticide residues in organically grown crops: A systematic literature review and meta-analyses. Br. J. Nutr. 2014, 112, 794–811. [Google Scholar] [CrossRef]
  45. Devi, S.; Zhang, M.; Ju, R.; Bhandari, B. Recent development of innovative methods for efficient frying technology. Crit. Rev. Food Sci. Nutr. 2021, 61, 3709–3724. [Google Scholar] [CrossRef]
Table 1. Amino acid contents of foods analysed by the National Society for Phenylketonuria (NSPKU).
Table 1. Amino acid contents of foods analysed by the National Society for Phenylketonuria (NSPKU).
Food ItemFood CategoryBrandProteinAmino Acids (mg/100 g)
(g/100 g)[Reference] Source for Protein Content aPHELEUMETTYRLYS
Dragon fruit, rawFruits-1.2[22] Weetch 20063653192836
Kiwi fruit, rawFruits-0.8[28] UK Food Database3554182243
Mulberries, rawFruits-1.4[22] Weetch 20064780183464
Passion fruit, rawFruits-2.6[22] Weetch 2006122120383982
Apple crispsFruitsMarks & Spencer1.8Manufacturer data on website274481245
FruitsEmilys0.83865111941
Melon crispsFruitsNim’s3.0107170454293
Pineapple crispsFruitsNim’s0.81301764779145
Avocado, raw bFruits-1.9[22] Weetch 20065087193478
Fruits-1.9[22] Weetch 20064673203365
Fruits-1.9[22] Weetch 20063457141951
Fruits-1.9[22] Weetch 20064980193365
Ackee, tinnedVegetablesDunn’s River2.9[28] UK Food Database911293157150
Baby corn, cookedVegetables-2.0[22] Weetch 2006781283671119
Baby corn, tinned, cookedVegetables-2.0[22] Weetch 200661101305297
Baby spinach, rawVegetables-2.6[28] UK Food Database1321812872142
Banana blossom, tinnedVegetables-1.3[29] USDA Database5284204471
Breadfruit, tinnedVegetablesTropical Sun1.3[28] UK Food Database274081735
Broccoli (purple sprouting), cookedVegetables-2.1[28] UK Food Database1041504269156
Broccoli (tenderstem), cookedVegetables-3.3[28] UK Food Database1291864880188
Butternut squash, cookedVegetables-0.9[28] UK Food Database2940122039
Callaloo, tinnedVegetablesDunn’s River1.8[28] UK Food Database96142325497
Cassava, rawVegetables-0.6[28] UK Food Database101001020
Chard, yellow/rainbow, rawVegetables-1.8Manufacturer data on website5275193772
Chard (ruby), rawVegetables-1.9[29] USDA Database14422153107198
Chard (Swiss), white, cookedVegetables-1.9[29] USDA Database15222052117118
Chestnuts, sweet, tinnedVegetables-3.1[22] Weetch 20061372223672172
Chayote, rawVegetables-0.8[22] Weetch 2006182951628
Choi Sum, rawVegetables-3.0[22] Weetch 20061391953177159
Dudhi, cookedVegetables-1.8[22] Weetch 2006172751227
Dwarf beans, rawVegetablesSainsbury’s1.6[28] UK Food Database5987184178
Eddoes, rawVegetables-1.5[22] Weetch 200671126195875
Hearts of palm, tinned, cookedVegetables-2.4[22] Weetch 2006831554363160
Jackfruit, tinnedVegetablesBiona Organic1.3[28] UK Food Database294681946
Kale curly, cookedVegetables-3.4[22] Weetch 20061502134792167
Kalettes, cookedVegetables-3.5[22] Weetch 20061272155894228
Lotus roots, frozen, cookedVegetables-1.9[22] Weetch 20066372305672
Mangetout, cookedVegetables-3.6[22] Weetch 2006931443459163
Microgreens, rawVegetables-2.0[30] Kowitcharoen et al. 202199130817110
Okra, cookedVegetables-2.8[22] Weetch 20066496263888
Pea shoots, rawVegetables-3.2[22] Weetch 200627432486156355
Purple potato, cookedVegetables-3.6[22] Weetch 20061431932561155
Rocket, rawVegetables-3.6[22] Weetch 20061431932561155
Romanesco, cookedVegetables-3.0[22] Weetch 20061492145894208
Runner beans, cookedVegetablesSainsbury’s1.6[22] Weetch 20066193174382
Samphire, cookedVegetables-1.2[22] Weetch 20065171153258
Stringless beans, rawVegetablesSainsbury’s1.6[28] UK Food Database4470163663
Savoy cabbage, cookedVegetables-1.5[22] Weetch 20065285224389
Sugar snap peas, rawVegetablesSainsbury’s3.4[22] Weetch 2006751002147107
Sugar snap peas, cookedVegetables-3.4[22] Weetch 2006881392455142
Tomatoes, sunblushVegetablesTesco2.3[28] UK Food Database6260153266
Tomatoes, sundriedVegetablesWaitrose4.8Manufacturer data on website951233593126
Tomatoes, sundriedVegetablesBaresa3.07595234580
Tomatoes, sundriedVegetablesMarks & Spencer5.41521714690164
Tomatoes, sundriedVegetablesMorrisons2.41141403876128
Tomatoes (cherry), slow roastedVegetablesWaitrose2.7951233593126
Tomatoes, slow roastedVegetablesTesco2.36260153266
Sweet potato, cookedVegetables-1.6[28] UK Food Database3937111533
Sweet potato fries (frozen), cooked cVegetablesStrong Roots2.5Manufacturer data on website99113325068
Sweet potato fries (frozen), cooked cVegetablesMcCain2.392101284161
Sweet potato fries (frozen), cooked cVegetablesWaitrose2.493105254755
Vine leaves, cookedVegetables-3.0[22] Weetch 200617827263119199
Watercress, rawVegetables-3.0[22] Weetch 2006263161726
Acai berry powder (organic)Other plant foodsGreen Origins8.3Manufacturer data on website33748178167373
Aquafaba, (Chickpea Water)Other plant foods-1.053641020109
Flour, green bananaOther plant foodsNihkan5.0126176365399
Flour, cassavaOther plant foodsTiana1.05075182375
Flour, potatoOther plant foods-0.11.12.20.30.71.8
Konnyaku/Konjac/KonjakOther plant foods-0.0[29] USDA Database0.71.00.0ND0.2
Mung bean vermicelliOther plant foodsTriple Win Ltd.0.5Manufacturer data on website47116
Rice noodlesOther plant foodsAmoy1.875115485250
Rice noodlesOther plant foodsTiger Tiger3.0105156466570
Tamarind pasteOther plant foodsWaitrose2.416021052103169
Abbreviations: Phe, phenylalanine; Leu, leucine; Met, methionine; Tyr, tyrosine; Lys, lysine; ND, not determined. Many of the vegetables were cooked (boiled or steamed until tender) to represent the condition of the food at the time of serving); they were drained and blended to pulp prior to sampling. a Protein values were obtained from different sources/references [22,28,29,30], [-] Manufacturer data reported on grocery websites. b Avocado was purchased from different supermarkets. c All three manufactured sweet potatoes were lightly coated with a gluten-free flour (e.g., rice flour, amaranth flour or corn flour). Hence, the protein and amino acid values might be slightly different than uncoated, cooked sweet potatoes.
Table 2. The amount of protein (g) and amino acids (mg) per 100 g of fruits and vegetables analysed by NSPKU.
Table 2. The amount of protein (g) and amino acids (mg) per 100 g of fruits and vegetables analysed by NSPKU.
Protein
(g/100 g)
Phe
(mg/100 g)
Leu
(mg/100 g)
Met
(mg/100 g)
Tyr
(mg/100 g)
Lys
(mg/100 g)
Fruits (n = 8) a
 Mean ± SD1.7 ± 0.652.4 ± 28.975.5 ± 22.320.6 ± 7.230.3 ± 6.860.5 ± 26.1
 Median [range]1.9 [0.8–2.6]47 [34–122]77 [53–120]19 [14–38]33 [19–39]65 [36–82]
Vegetables (n = 48) b
 Mean ± SD2.4 ± 1.089.3 ± 51.0126.2 ± 70.128.6 ± 17.657.5 ± 31.9114.6 ± 64.7
 Median [range]2.3 [0.6–5.4]81 [10–274]125 [10–324]26 [0–86]56 [10–156]109 [20–355]
Fruits and Vegetables Total (n = 56)
 Mean ± SD2.3 ± 1.084.0 ± 50.0119.0 ± 67.827.5 ± 16.753.6 ± 31.2106.9 ± 63.0
 Median [range]2.0 [0.6–5.4]73 [10–274]101 [10–324]24 [0–86]46 [10–156]89 [20–355]
Abbreviations: Phe, phenylalanine; Leu, leucine; Met, methionine; Tyr, tyrosine; Lys, lysine; SD, standard deviation; NSPKU, National Society for Phenylketonuria. a Fruit crisps were not included in the analysis. b Manufactured sweet potato fries (cooked) were not included in the analysis due to the extra protein content from flour (e.g., rice flour, corn flour, etc.) used as a coating.
Table 3. The percentage (%) and the amount (mg) of amino acids per gram of protein in fruits and vegetables.
Table 3. The percentage (%) and the amount (mg) of amino acids per gram of protein in fruits and vegetables.
Percent of Amino Acids per Gram of ProteinAmino Acid Content (mg) per Gram of Protein
% Phe% Leu% Met% Tyr% LysPhe (mg)Leu (mg)Met (mg)Tyr (mg)Lys (mg)
Fruits (n = 8) a
 Mean ± SD3.1 ± 1.04.6 ± 1.11.3 ± 0.51.9 ± 0.63.7 ± 0.931 ± 1046 ± 1113 ± 519 ± 637 ± 9
 Median [range]3 [2–5]5 [3–7]1 [1,2]2 [1–3]3 [3–5]28 [18–47]45 [30–68]12 [7–23]18 [10–28]34 [27–54]
Vegetables (n = 48) b
 Mean ± SD3.7 ± 1.65.3 ± 2.41.2 ± 0.62.4 ± 1.24.8 ± 1.937 ± 1653 ± 2412 ± 624 ± 1248 ± 19
 Median [range]4 [1–9]5 [1–12]1 [0–3]2 [1–6]5 [1–11]35 [9–86]54 [10–116]11 [0–28]24 [6–62]48 [9–111]
Fruits and Vegetables Total (n = 56)
 Mean ± SD3.6 ± 1.55.2 ± 2.21.2 ± 0.62.4 ± 1.14.6 ± 1.836 ± 1552 ± 2312 ± 624 ± 1146 ± 18
 Median [range]3 [1–9]5 [1–12]1 [0–3]2 [1–6]5 [1–11]34 [9–86]48 [10–116]11 [0–28]23 [6–62]46 [9–111]
Abbreviations: Phe, phenylalanine; Leu, leucine; Met, methionine; Tyr, tyrosine; Lys, lysine; SD, standard deviation. a Fruit crisps were not included in the analysis. b Manufactured sweet potato fries (cooked) were not included in the analysis due to the extra protein content from flour (e.g., rice flour, corn flour, etc.) used as a coating.
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Ford, S.; Ilgaz, F.; Hawker, S.; Cochrane, B.; Hill, M.; Ellerton, C.; MacDonald, A. Amino Acid Analyses of Plant Foods Used in the Dietary Management of Inherited Amino Acid Disorders. Nutrients 2023, 15, 2387. https://doi.org/10.3390/nu15102387

AMA Style

Ford S, Ilgaz F, Hawker S, Cochrane B, Hill M, Ellerton C, MacDonald A. Amino Acid Analyses of Plant Foods Used in the Dietary Management of Inherited Amino Acid Disorders. Nutrients. 2023; 15(10):2387. https://doi.org/10.3390/nu15102387

Chicago/Turabian Style

Ford, Suzanne, Fatma Ilgaz, Sarah Hawker, Barbara Cochrane, Melanie Hill, Charlotte Ellerton, and Anita MacDonald. 2023. "Amino Acid Analyses of Plant Foods Used in the Dietary Management of Inherited Amino Acid Disorders" Nutrients 15, no. 10: 2387. https://doi.org/10.3390/nu15102387

APA Style

Ford, S., Ilgaz, F., Hawker, S., Cochrane, B., Hill, M., Ellerton, C., & MacDonald, A. (2023). Amino Acid Analyses of Plant Foods Used in the Dietary Management of Inherited Amino Acid Disorders. Nutrients, 15(10), 2387. https://doi.org/10.3390/nu15102387

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