Next Article in Journal
Acute Dose–Response Effectiveness of Combined Catechins and Chlorogenic Acids on Postprandial Glycemic Responses in Healthy Men: Results from Two Randomized Studies
Previous Article in Journal
Overview of Systematic Reviews of Health Interventions for the Prevention and Treatment of Overweight and Obesity in Children
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mushroom-Based Supplements in Italy: Let’s Open Pandora’s Box

by
Samuele Risoli
1,
Cristina Nali
1,2,
Sabrina Sarrocco
1,2,
Arrigo Francesco Giuseppe Cicero
3,4,
Alessandro Colletti
5,*,
Filippo Bosco
6,
Giuseppe Venturella
7,
Agata Gadaleta
8,
Maria Letizia Gargano
8 and
Ilaria Marcotuli
8
1
Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy
2
Nutrafood Research Center, University of Pisa, Via del Borghetto 50, 56124 Pisa, Italy
3
Medical and Surgical Sciences Department, University of Bologna, 40126 Bologna, Italy
4
IRCCS AOU S. Orsola di Bologna, 40126 Bologna, Italy
5
Department of Drug Science and Technology, University of Torino, 10124 Torino, Italy
6
U.O. Anesthesia and Intensive Care MiSC, AOUP Complementary Medicine Oncology Integrated, University Hospital Trust of Pisa, 56126 Pisa, Italy
7
Department of Agricultural, Food and Forest Sciences, University of Palermo, Viale delle Scienze, Bldg. 5, 90128 Palermo, Italy
8
Department of Soil, Plant, and Food Sciences, University of Bari, Via G. Amendola, 165/A, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(3), 776; https://doi.org/10.3390/nu15030776
Submission received: 12 December 2022 / Revised: 25 January 2023 / Accepted: 29 January 2023 / Published: 2 February 2023
(This article belongs to the Section Nutrition and Public Health)

Abstract

:
Mushrooms and derivates are well known to the scientific community for having different health benefits and exhibit a wide range of pharmacological activities, including lipid-lowering, antihypertensive, antidiabetic, antimicrobic, antiallergic, anti-inflammatory, anticancer, immunomodulating, neuroprotective and osteoprotective actions. In Europe, medical mushrooms are mainly marketed in the form of food supplements as single components or combined with other nutraceuticals. In this context, the first peculiarity that distinguishes it is the safety established through the “history of consumption” that characterizes that mushroom. However, the cultivation of medicinal mushrooms on a large scale is performed mainly in China, where most of the production facilities do not have internationally recognized good manufacturing practices, despite that many European companies that sell myotherapies are supplied by Chinese manufacturers. This is particularly evident in Italy, where an arsenal of mushroom products is marketed in the form of powders and extracts not always of ascertained origin and sometimes of doubtful taxonomic identification, and thus not meeting the quality criteria required. The growing interest in mycotherapy involves a strong commitment from the scientific community to propose supplements of safe origin and genetic purity as well as to promote clinical trials to evaluate its real effects on humans. The purpose of this research is to analyze different mushroom-based dietary supplements used in medicine as monotherapy on the Italian market and to evaluate their composition and quality. The molecular identification of the sequences with those deposited in GenBank allowed for identifying 6 out of 19 samples, matching with those deposited belonging to the species indicated in the label, i.e., Lentinula edodes (samples 1, 4, 12 and 18) and Ganoderma lucidum (samples 5 and 10). Samples containing Ganoderma, labeled in the commercial product as G. lucidum, showed sequences that showed homology of 100% and 99% with G. resinaceum and G. sichuanense. An additional investigation was carried out in order to determine the active fungal ingredients, such as ergosterol, aflatoxins, heavy metals, nicotine and total glucan. The results obtained and shown in the manuscript highlight how the data were not only in line with what is expected with respect to what is indicated in the labels.

1. Introduction

Mushrooms are appreciated for their culinary and nutritional value and are increasingly valued for their medicinal properties, especially for their activities on cardiometabolic parameters, the immune system, and as anti-inflammatory and anticancer agents [1].
The use of medicinal mushrooms in traditional Chinese medicine (TCM) dates back 3000–7000 years [2]. The first cultivation of medicinal mushrooms (Lentinula edodes (Berk.) Pegler), shiitake, dates back to 600–1000 BC [3]. The Shénnóng Běncǎo Jīng, attributed to Emperor Shennong (2800 BC), reported a number of drugs harmless to humans with “stimulating properties”, including the reishi mushroom (Ganoderma lucidum (Curtis) P. Karst) [4].
Medicinal mushrooms have been supposed to be potentially useful for the prevention and treatment of different diseases in humans, farms and domestic animals [5]. Mushrooms are used not only as dietary food (functional foods) but also in the form of dietary supplements, nutraceuticals and mushroom-based supplements [6]. The polysaccharides and polysaccharide–protein complexes are abundant in medicinal mushrooms, and β-glucans are mostly used because of their immunomodulating activities in adjunct tumor therapy [7]. Additionally, β-glucans have a significant impact on the health of microbial flora in the human gut and have been recognized as potential pharmaceutical preventative agents of diet-related chronic diseases when absorbed at appropriate doses [8]. A regular fiber diet can reduce serum cholesterol and glucose levels and thus the risk of obesity, type II diabetes and cardiovascular disease [9].
In addition, there is an increasing interest in the medicinal use of mushroom-derived nutraceuticals, especially that from the Basidiomycetes family, such as Agaricus blazei Murill, G. lucidum, Hericium erinaceus (Bull.) Pers. and Grifola frondosa (Dicks.) Gray has been reported to exhibit anti-inflammatory and immune-modulating activities due to the presence of bioactive molecules, including antibiotics, for example, penicillin and griseofulvin, and chemically highly diversified anti-inflammatory compounds, such as polysaccharides, terpenoids, phenolic compounds, glycerides and other low molecular weight molecules [10]. For this reason, the great richness of the mycocomplex could explain the great versatility of therapeutic action attributed to medicinal mushrooms, especially in this pandemic period [11]. In fact, several in vitro studies have shown the ability of medicinal mushrooms to inhibit different virus proteases and reduce the “cytokine storm”, suggesting its potential activity against the main proteases of coronaviruses [12]. In addition, several randomized clinical trials highlight the ability to stimulate both innate and acquired immunity-modulating NK cells, macrophages and T cells, and against chemotherapeutic myelosuppression, it is also one of the most serious deleterious effects of chemotherapy [13,14].
The cultivation of medicinal mushrooms on a large scale is performed mainly in China, where the mushroom-based nutraceutical and pharmaceutical products industry is highly developed [15]. It should be noted that most of the production facilities in China do not have internationally recognized good manufacturing practices (GMP) and that many European companies that sell mushroom-based products are supplied by Chinese manufacturers. In particular, products purchased from abroad in the form of powders and extracts are not always of ascertained origin and sometimes of doubtful taxonomic identification [16].
This is particularly evident in Italy, where products derived from medicinal mushrooms placed on the market often do not meet the required quality criteria. In addition, the cultivation of medicinal mushrooms in Italy remains at present underdeveloped or even non-existent, so it is difficult to ascertain whether such cultivations really exist and if they do, where they are located, and what is the origin of the biological material and substrate used for cultivation [17]?
The growing interest in mycotherapy requires a strong commitment from the scientific community to propose supplements of safe origin and genetic purity and to expand clinical trials to evaluate their real effects on humans.
For the above-mentioned reasons, the purpose of this research is to analyze different mushroom-based supplements available on the Italian market and to evaluate their composition.

2. Materials and Methods

2.1. Mushroom-Based Supplements Samples

In order to analyze the composition of some of the main mushroom-based supplements actually available on the Italian market and regularly used for their medicinal properties, 19 samples, marketed by 6 different companies, were submitted to molecular and biochemical analysis aimed to (i) identify the mushroom species used to extract the bioactive ingredient; (ii) quantify the ergosterol (ERG) and total glucans content; and (iii) check the possible presence of hazardous compounds, such as mycotoxins and heavy metals, where these last are due to subsequent contaminations occurring during the production/packaging processes. The samples consisted of dietary supplements used in medicine in the form of encapsulated powder and were used as they were, without any alteration, and not expired. In Table 1, a list of the 19 samples and the corresponding mushroom species used to extract polysaccharides (as indicated on the label of the commercial product) is reported. Information about the mushroom-based supplements products and the name of the 6 companies will be available to readers upon request from the corresponding authors.

2.2. Molecular Identification of Fungal Active Ingredients

Molecular identification of the fungal isolates used as a source of glucans for mushroom-based supplements was performed by sequencing the internal transcribed spacers (ITS). Genomic DNA was extracted from 100 mg of each sample (from the powder inside three capsules or by powdering three capsules from the same batch, depending on the format of the samples) by using the Quick-DNA Fungal/Bacterial kit (Zymo Research, Irvine, CA, USA), according to the manufacturer instructions. Complete ITS 1 and 2 sequences, including the 5.8S gene of the nuclear ribosomal DNA, were amplified according to Sarrocco et al. [18] by using the universal primers ITS5 and ITS4 [19]. Amplicons were purified by the QIAquick PCR Purification Kit (Qiagen, Maryland, USA), while their sequencing was performed by Bio Molecular Research (BMR, Padova, Italy).
Resulting sequences were blasted in the NCBI Genome Database (GenBank, https://www.ncbi.nlm.nih.gov/genbank/, accessed on 1 December 2022) in order to identify, at least at the genus level, the mushrooms included in the analyzed products, according to the percentage of homology with deposited sequences.

2.3. Determination of Ergosterol

For each sample, a total of 3 independent replicates (capsules) were analyzed. Each capsule was finely ground before the extraction step. Ergosterol was determined according to Bååth and Anderson [20] with minor modifications. An amount of 250 µL cyclohexane and 1000 µL of 10% KOH (in methanol, MeOH) were added to 0.25 g of product powder. After 15 min of ultrasonic treatment, tubes were put in a 70 °C water bath for 90 min. Following this phase, 250 µL of distilled water and 500 µL of cyclohexane were added, the tubes were firstly vortexed for 30 s, centrifuged, and the top phase was removed. The residual solution was rinsed once again with 500 µL of cyclohexane before the mixed cyclohexane fraction was evaporated at room temperature. Before measuring the amount of ERG, samples were dissolved in 500 µL of the MeOH by heating at 40 °C for 15 min and then filtered through a 0.45 µm filter. The separation was performed for 20 min at 30 °C by an ultra-high pressure liquid chromatography (UHPLC) Dionex UltiMate 3000 system (Thermo Scientific, Waltham, MA, USA) equipped with an Acclaim 120 C18 column (5 μm particle size, 4.6 mm internal diameter × 150 mm length; Thermo Scientific, Waltham, MA, USA), and a Dionex Uvd340U Uv/Vis Detector (Thermo Scientific, Waltham, MA, USA) using UV light at 280 nm. The mobile phase was MeOH 100%, and the flow rate was 0.8 mL min−1. To quantify the ERG content, known amounts of pure standard (0.1–100 ng mL−1) were injected into the UHPLC system, and an equation correlating peak area to ERG concentration was formulated (results are reported as µg g−1 DW).

2.4. Determination of Aflatoxins

Regarding aflatoxins (AFTs), extraction was performed according to Roch et al. [21] with minor modifications. An amount of 0.25 g of a finely ground matrix was added with 1 mL of methanolic solution (60:40 in UHPLC grade) and vigorously vortexed for 3 min. Subsequently, the samples were centrifuged for 10 min at 12,000× g at room temperature, and 400 µL of supernatant was withdrawn and diluted with 1600 µL of phosphate buffer saline (PBS 0.05 M, pH 7.4). The diluted was filtered and purified by immune-affinity columns (IAC, AFLA B&G SELECT-OR, OR SELL, S.p.a., Modena, Italy) in accordance with the method provided by the manufacturer, evaporated and successfully re-suspended in H2O:MeOH (55:45 v/v, UHPLC grade water). The separation was performed for 30 min at 30 °C by a UHPLC Dionex UltiMate 3000 system (Thermo Scientific, Waltham, MA, USA) equipped with a ZORBAX Eclipse Plus C18 column (5 μm particle size, 4.6 mm internal diameter × 150 mm length, Agilent Technologies, Santa Clara, CA, USA), and an UltiMate™ 3000 Fluorescence Detector (Thermo Scientific, Waltham, MA, USA) with excitation at 362 nm and emission at 420 nm after post-column derivatization through a UVE™ Photochemical Reactor for Aflatoxin Analysis (254 nm lamp; 240 VAC, 50/60 Hz, LCTech, Obertaufkirchen, Germany). The flow rate was 1 mL min−1, and the mobile phase was H2O:MeOH (55:45 v/v, UHPLC grade water). To quantify the AFTs content, known amounts of pure mixed standards (0.1–100 ng mL−1 Aflatoxin Mix 4 solution, Romer Lab, Getzersdorf, Austria) were injected into the UHPLC system. In order to quantify AFTs concentration (reported as the sum of the four major aflatoxins types (B1, B2, G1 and G2 AFTs) in µg kg−1 DW), an equation correlating peak area was formulated.

2.5. Determination of Transition and Heavy Metals

The transition metals (iron, both ferric (Fe3+) and ferrous (Fe2+); copper (Cu); cobalt (Co); manganese (Mn); nickel (Ni); and zinc (Zn)) detection through ion chromatography (IC) in this study was optimized from the example application “Determination of trace level of transition metals using CS5A 2-mm column and preconcentration” presented in the CS5A manual, which was the separator column used in this study. For the quantification of transition metals, around 0.5 g of finely ground powder from each sample was digested (100 °C, 1 h) in 4 mL of 50% HNO3 diluted with 1 mL 30% H2O2 and successively filtered through a 0.22 µm filter. The separation was performed for 20 min at room temperature by an IC Dionex Aquion system (Dionex Aquion, 2-mm IonPac CG5A Guard and 2-mm CS5A Analytical Column; Thermo Scientific, Waltham, MA, USA) and a Dionex VWD UV/Vis Detector (Thermo Scientific, Waltham, MA, USA). An amount of 50 µL of the sample was eluted with Dionex MetPac PDCA eluent (Thermo Scientific, Waltham, MA, USA, flow rate 1.2 mL mL−1) and 0.5 mM PAR (Dionex MetPac PAR, Thermo Scientific, Waltham, MA, USA; flow rate 0.7 mL mL−1) as a post-column diluent for the derivatization. Detection was performed using UV light at 530 nm, transition metals standards were always dissolved in dilute acid solutions and can also be used as IC standards (0.1–100 mg mL−1) and an equation, correlating peak area to metals concentration, was formulated. The quantification of arsenic (As), cadmium (Cd), mercury (Hg) and chromium (Cr) was carried out starting from 25 g of the sample through an inductively coupled plasma mass spectrometry (ICP-MS) system, in accordance with the current European legislation (UNI EN ISO 17294-2:2016).

2.6. Determination of Nicotine

For nicotine extraction, this study referred to the method described by Kang et al. [22] in accordance with (EURL, 2016). An amount of 0.5 g of dried sample was placed in a 50 mL tube and added with 15 mL of distilled water. After vortexing, 5 M NaOH was used to correct the pH of the extract to be in the 10–11 range. Successively, 6 g of MgSO4 and 1.5 g of NaCl were added, the mixture was shaken for 15 min and then centrifuged for 5 min (1590× g), and the supernatant was filtered through a 0.45 μm membrane filter (Sartorius Minisart®, Goettingen, Germany). Nicotine quantification was carried out using an Agilent 8890B GC-MS System equipped with a 5977B single quadrupole mass detector (Agilent Technologies, Inc., Santa Clara, CA, USA). An Agilent DB-5 MS column C (30 m × 0.25 mm × 0.25 μm; Agilent Technologies, Inc., Santa Clara, CA, USA) was used for analysis. A total amount of 2 μL of the sample was injected in splitless injection mode (235 °C for evaporation, Helium carrier gas, flow rate of 1 mL min−1). Initially, the oven temperature was set to 70 °C and maintained for 1 min, and then the temperature was raised to 150 °C (25 °C min−1), 210 °C (12 °C min−1) and 280 °C (25 °C min−1). The post-run temperature was maintained at 310 °C (3 min). In all the analyzed samples, nicotine content results are always under the instrumental detection limit.

2.7. Total Glucan Quantification in Mushroom-Based Supplements Products

Total glucan was measured using controlled acid hydrolysis with H2SO4. Specifically, the glucose released was measured using glucose oxidase/peroxidase and GOPOD reagent, following the instruction of the commercial kit from Megazyme [23]. The measurement was carried out on 5 different capsules, considered biological replicates, each of which was tested in duplicate, and on the mixture of 5 single capsules in duplicate to estimate differences between the two methods.

3. Results

3.1. Molecular Identification of Fungal Active Ingredients

When gDNA extracted from the capsules analyzed was used to amplify ITS sequence, all the PCR resulted in an amplicon of around 600–700 bp length, but the DNA of samples 6 and 19 was degraded, and the amplification of sample 13 resulted in several bands of different length belonging to yeasts species (such as Aureobasidium spp., Geotrichum spp. or Teunomyces spp.).
Comparison of the sequences with those deposited in GenBank allowed for identifying 15 out of 19 samples, with percentages of homology generally higher than 98%, but for samples 5, 14 and 17, the percentages of homology with reference sequences were 88%, 93% and 92%, respectively.
In Table 2, for each sample, the identification, percentage of homology with deposited sequences, and their accession number are listed. In detail, only for samples 1, 4, 10, 12 and 18 did the amplified sequences match with those deposited belonging to the species indicated in the label, i.e., Lentinula edodes (samples 1, 4, 12 and 18) and Ganoderma lucidum (samples 10), while for sample 5, the 88% of homology with G. lucidum can not be considered reliable for a secure identification at the species level. With respect to the other products containing Ganoderma, while on the label of the commercial product G. lucidum was indicated, identification of submitted sequences showed 100% and 99% of homology with G. resinaceum for samples 2 and 16, respectively, while the sequence obtained for sample 14 showed a 93% of homology with that of G. sichuanense.
A higher mismatch was obtained for the commercial products, whose bioactive ingredients should have been extracted from Agaricus blazei. Samples 3, 9, 11 and 17 showed a 98% of homology with G. resinaceum, 99% with Grifola frondosa, 99% with A. subrugescens and 92% with Cordyceps militaris, respectively. Finally, both samples 7 and 8, whose active ingredients should have been L. edodes and G. lucidum, respectively, gave rise to ITS sequences showing 99% (sample 7) and 100% (sample 8) of homology with G. frondosa.

3.2. Determination of Ergosterol

The contents of ERG (expressed as µg g−1 DW, determined for each sample on three different capsules) for the sample are shown in Table 3. In batch A, the highest concentration of ERG was measured in product 2 (561.60 µg g−1), while in products 1 and 3, the ERG contents were, respectively, 452.85 and 151.93 µg g−1. In batch B, product 5 was found to be the one with higher quantities of ERG (332.58 µg g−1) in comparison to the contents recorded in products 4 and 6 (34.38 and 43.6 µg g−1, respectively). In batch C, the highest amount of ERG was registered for product 7 (129.91 µg g−1), while in products 8 and 9, the ERG contents were 31.32 and 40.75 µg g−1, respectively. In batch D, minor quantities of ERG were found, and product 11 was found to be the one with a higher content (20.19 µg g−1) compared to the values recorded in products 10 and 12 (15.87 and 3.45 µg g−1, respectively). In batch E, the highest value was recorded in product 14 with 132.20 µg g−1 in comparison with those recorded in the other two samples (1.79 and 21.53 µg g−1, respectively, products 13 and 15). Moreover, in the last batch (batch E), product 17 turned out to be the one with the highest concentrations (70.29 µg g−1) if compared to the values recorded for products 16 and 18 (44.58 and 52.14 µg g−1, respectively). In sample 19, the ERG concentration was 8.54 µg g−1. Analysis of the variance of ERG content is shown in Table 4 and highlights the variability both between and within the groups (sample) for ERG contents.

3.3. Determination of Aflatoxins

Regarding AFTs analysis (expressed as µg g−1 DW, determined for each sample on three different capsules), traces of mycotoxins were only found in samples belonging to batches A, B and C (Table 5). In the first batch (batch A), the highest amount of AFTs was recorded in product 2 (2.68 µg kg−1), while in products 1 and 3, the AFTs contents were, respectively, 0.12 and 1.21 µg kg−1, while in batch B, the highest content of AFTs was measured in product 5 (3.16 µg kg−1) if compared with product 4 (0.17 µg kg−1); in sample 6, AFTs was non detected. In batch C, the highest values of AFTs were recorded, with concentrations of 2.62, 1.72 and 4.99 µg kg−1 (sample 7, 8 and 9, respectively) of the total amount of AFTs; only in sample 9, the concentration of AFTs results higher than that allowed by Commission Regulation (EC) No 1881/2006 for maximum levels for total AFTs contamination in foodstuffs. Analysis of the variance of AFTs contents is shown in Table 6.

3.4. Determination of Transition and Heavy Metals

Total iron content (Fe2+ and Fe3+), expressed as µg g−1 DW, was determined for each product on three different capsules (Table 7). The results of 19 mushroom-based supplements showed variability in total iron contents in different samples and between samples from the same batch. In detail, the values ranged from 2.041 (sample 12) to 110.803 µg g−1 (sample 9), with an overall mean value of 29.87 µg g−1. Among batch A, the highest concentration of total iron content was measured in sample 1 (62.36 µg g−1), while in samples 2 and 3, the total iron contents were, respectively, 19.66 and 8.24 µg g−1. Among batch B, product 6 was found to be the one with higher quantities of total iron (104.02 µg g−1) in comparison to the contents recorded in samples 4 and 5 (26.87 and 23.64 µg g−1, respectively). In batch C, the highest amount of total iron was registered in sample 9 (110.80 µg g−1), while in samples 7 and 8, the total iron contents were 8.86 and 62.29 µg g−1, respectively. In batch D, minor quantities of total iron were found in sample 12 (2.04 µg g−1), while in samples 10 and 11, the total iron contents were, respectively, 2.91 and 6.69 µg g−1. Among batch E, sample 13 turned out to be the one with the highest concentrations (7.51 µg g−1) if compared to the values recorded for samples 14 and 15 (4.72 and 6.12 µg g−1, respectively). Among the last batch (batch F), the highest value was recorded in sample 17, with 27.29 µg g−1 in comparison with those recorded in the other two samples (15.03 and 13.34 µg g−1 in samples 16 and 18, respectively). In sample 19, the total iron content was 55.00 µg g−1. Considering the total iron content obtained using the mixture from three different capsules, the ANOVA analysis (Table 8) underlined how the variation in total iron content between capsules was statistically different (p < 0.001), and a single capsule from the same batch did not have the same total iron amount. Within the samples analyzed, concentrations of other transition metals analyzed (copper, cobalt, manganese, nickel and zinc) are always under the instrumental detection limit, while the concentration of As, Cd, Hg and Pb amounts are always lower than the European legal limits (Commission Regulation (EC) No 1881/2006 of 19 December 2006), as reported in Table 7.

3.5. Glucan Content in Mushroom-Based Supplements

Total glucan content, expressed as a percentage of grams of glucan on 100 g of products, was determined primarily for each product on five different capsules (Table 8 and Table 9). The results of 19 mushroom-based supplements showed variability in glucan contents in different species and between capsules from the same batch. In detail, the values ranged from 19.15 (sample 8) to 60.05 g or 100 g−1 (sample 13), with an overall mean value of 38.71 g 100 g−1. Considering the glucan content obtained using the mixture from five different capsules and compared to the mean of the values derived from single capsule analysis, the values were slightly different for some mushroom-based supplements products, such as sample 2, while for some other the differences were statistically significant (e.g., sample 2, 3 and 12) as shown in Table 10. Analysis of ANOVA underlined how the variation in glucan content between capsules was statistically different (P < 0.001), and a single capsule from the same batch had not the same glucan amount.

4. Discussion

Nutraceutical is a syncretic neologism from “nutrition” and “pharmaceuticals” coined by dr. Stephen de Felice in the late 1980s. It is the discipline that studies enriched foods, functional foods and food supplements (including botanicals and mushrooms), which may have a preventive or, in some cases, a therapeutic role on one or more pathologies or risk factors [24]. However, what clinicians define nutraceuticals by law is a dietary supplement, which falls within the sectoral legislation (Directive 2002/46/EC) as: “food products intended for the supplementation of the common diet and which constitute a concentrated source of nutrients, such as vitamins and minerals or other substances, having a nutritional or physiological effect, in particular, but not exclusively, amino acids, essential fatty acids, fibers and extracts of vegetable origin, both as single and multi-compounds, commercialized in pre-dosed forms”. Thus, the dietary supplement is considered a food by the regulatory authority; as such, the first characteristic that distinguishes it is the safety established through the history of consumption that characterizes that particular substance. However, although the food supplement is typically considered a “natural product” with the meaning of the total safety of itself, the scientific literature is not exempt from reports of adverse effects caused by nutraceuticals, especially in frail or pluri-pathological patients [25]. In particular, some adverse events can be attributable to the presence of unwanted contaminants: for example, it was reported that citrinin induced hepatotoxicity, a mycotoxin contained in fermented red yeast rice [26]. In addition, the non-obligation of both in vitro and in vivo testing of nutraceuticals represents the greatest limitation of this category of molecules and, as a direct consequence, it is now possible to find on the market products of all kinds, with extremely heterogeneous substances, in various combinations and dosages, and in extremely different pharmaceutical forms. This is particularly true for the world of medicinal mushrooms. Despite the fact that randomized controlled trials conducted to date highlight a good safety profile for nutraceutical mushrooms, many of these have not been evaluated for their safe human use using modern analytical approaches, and some toxicological endpoints may be opaquer. In fact, obtaining safety data for developmental and reproductive toxicity, genotoxicity, and chronic endpoints can prove particularly difficult. Complicating the evaluation of such fungi, modern cultivation practices, and preparations are rarely consistent with traditional medicinal uses. While fruiting bodies are most often the portion of the organism used in TCM [27], commercial raw materials typically consist of the fungi’s mycelium, which grows more quickly and is, therefore, less expensive to produce. Moreover, the geographical place of cultivation and the growing conditions could influence the secondary metabolite profile of fungi, including the presence of contaminants such as mycotoxins that negatively impact health [28]. To date, a multifaced approach is available in order to assess the safety of fungi as dietary supplements. This approach should include a critical starting review of the scientific literature for that specific fungal species, which may be confirmed through a genetic analysis (DNA identification) [29]. In addition, an analysis of the fungal toxins should be encouraged, starting from a database of known fungal metabolites. In this regard, the authors highlighted the higher mismatch obtained through the genetic analysis between the label of the commercial product G. lucidum indicated and the identification of submitted sequences that showed 100% and 99% of homology with G. resinaceum (for samples 2 and 16, respectively) and a 93% of homology with G. sichuanense (for sample 14). Similar results were obtained for the commercial products based on Agaricus blazei. Samples 3, 9, 11 and 17 showed a 98% of homology with G. resinaceum, 99% with Grifola frondosa, 99% with A. subrugescens and 92% with Cordyceps militaris, respectively. Finally, both samples 7 and 8, whose active ingredients should have been L. edodes and G. lucidum, respectively, gave rise to ITS sequences showing 99% (sample 7) and 100% (sample 8) of homology with G. frondose.
Furthermore, the AFTs analysis showed traces of mycotoxins. In the first batch (batch A), the highest amount of AFTs was recorded in sample 2 (2.68 µg kg−1), while in samples 1 and 3, the AFTs contents were, respectively, 0.12 and 1.21 µg kg−1, while in batch B, the highest content of AFTs was measured in sample 5 (3.16 µg kg−1) if compared with product 4 (0.17 µg kg−1); in sample 6, AFTs was non detected. In batch C, the highest values of AFTs were recorded, with concentrations of 2.62, 1.72 and 4.99 µg kg−1 (product 7, 8 and 9, respectively) of the total amount of AFTs; more troubling is product 9, in which the concentration of AFTs results higher than that allowed by Commission Regulation (EC) No 1881/2006 for maximum levels for total AFTs contamination in foodstuffs. All of this is particularly relevant since the dosages of mushrooms demonstrated to be effective on human health parameters are high, and the effectiveness has been mainly observed for middle-long term exposition so that the highest safety profiles should be warranted while the detected concentrations of heavy metals and nicotine do not seem to represent a problem.
Very important are also the results of 19 mushroom-based supplements on glucan contents which displayed variability in different species and between capsules from the same batch. In detail, the values ranged from 19.15 (sample 8) to 60.05 g 100 g−1 (sample 13), with an overall mean value of 38.71 g 100g−1. The results obtained from the analysis of the glucan content confirm the lack of uniformity within the batches, as already observed from the ERG (a good indicator of fungal biomass) analysis. Moreover, in this case, indeed, great variability was observed in the results obtained from the same sample, highlighting the impossibility of relying on the product in terms of the amounts of the active ingredient.
These aspects could adversely affect the effectiveness of the final product. In fact, the use of standardized and titrated extracts is essential for the treatment to be effective and reproducible over time. Standardize means “make uniform”. The use of standardized extracts, which guarantee a constant and repeatable content of active ingredients in each production batch, allows ensuring the reproducibility of the nutraceutical’s health action. Given the normal tendency to the variability of natural products as a consequence of different factors (plant origin, cultivation conditions, climate, etc.), the standardization process must first concern the raw material. The selection in the field of uniform plant populations based on the content of functional substances, therefore, represents the first fundamental step in the process of standardization of botanical drugs and all products derived from it. The subsequent transformation process, which concentrates and confers the desired characteristics to the extract, must then guarantee, through the use of codified methods (GMP) and conducted in parallel with analytical laboratory controls, a finished product always with the same chemical (title in active ingredients) and physical (density, appearance, consistency, solubility) characteristics. It is possible to ensure the same qualitative and quantitative active molecules constantly only with the use of standard extracts. The use of standardized and titrated plant extracts has made it possible to significantly reduce the variability of the composition of the extract physiologically due to the plant (moisture content, plant origin, method and time of harvest), the extraction (extraction method, type of solvent, solvent concentration) and production processes (batch size, extraction speed). The quality of a nutraceutical is, therefore, a condition “sine qua non” for its efficacy and safety. However, the quality must necessarily be defined and controlled by objective values that rely on validated criteria and not on subjective and somewhat imaginative considerations. In other words, the quality of a dietary supplement based on mushroom or botanical extracts cannot be defined if the raw materials, formulation strategies and production processes are not clearly known. In this regard, an increasingly close and fruitful dialogue between the scientific community and regulatory authorities is desirable to protect the health of the consumer and control a market with strong legislative limits.

5. Conclusions

The medicinal mushroom market offers an arsenal of products proposed for the prevention of numerous diseases or risk factors. Although these products are considered safe for their “traditional use”, the analyses conducted by the authors suggest inconsistencies from a different point of view: the diversity of the mushrooms declared on the label and the real content in beta-glucans, as well as the presence of contaminants in concentrations higher than those required by law. Greater controls relating to the qualitative and quantitative analysis of nutraceutical extracts, in addition to close dialogues between the scientific community and regulatory authorities, are urgent in order to regulate a market with strong legislative limits and protect the health of the consumer.

Author Contributions

Conceptualization, G.V. and A.C.; methodology, S.S., M.L.G. and A.G.; formal analysis, S.R., I.M. and S.S.; data curation, S.S. and A.G.; writing—original draft preparation, A.C., F.B., G.V., S.S., S.R., A.G., I.M. and M.L.G.; writing—review and editing, S.S., A.C. A.G. and C.N.; visualization, F.B.; supervision, C.N. and A.F.G.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AFTsAflatoxins
ERGErgosterol
GC-MS Gas chromatography–mass spectrometry
GMPGood Manufacturing Practice
ITSInternal Transcribed Spacers
NCBINational Center for Biotechnology Information
PCRPolymerase Chain Reaction
TCMTraditional Chinese Medicine
UHPLCUltra-High-Performance Liquid Chromatography

References

  1. Gargano, M.L.; Van Griensven, L.J.L.D.; Isikhuemhen, O.S.; Lindequist, U.; Venturella, G.; Wasser, S.P.; Zervakis, G.I. Medicinal mushrooms: Valuable biological resources of high exploitation potential. Plant Biosyst. 2017, 151, 548–565. [Google Scholar] [CrossRef]
  2. Lee, K.-H.; Morris-Natschke, S.L.; Yang, X.; Huang, R.; Zhou, T.; Wu, S.-F.; Shi, Q.; Itokawa, H. Recent progress of research on medicinal mushrooms, foods, and other herbal products used in traditional Chinese medicine. J. Tradit. Complement. Med. 2012, 2, 84–95. [Google Scholar] [CrossRef]
  3. Zhang, Y.; Geng, W.; Shen, Y.; Wang, Y.; Dai, Y.-C. Edible Mushroom Cultivation for Food Security and Rural Development in China: Bio-Innovation, Technological Dissemination and Marketing. Sustainability 2014, 6, 2961–2973. [Google Scholar] [CrossRef]
  4. Shou-Zhong, Y.; Flaws, B. The Divine Farmer’s Materia Medica: A Translation of the Shen Nong Ben Cao Jing; Blue Poppy Press: Portland, OR, USA, 1998; 198p. [Google Scholar]
  5. Venturella, G.; Ferraro, V.; Cirlincione, F.; Gargano, M.L. Medicinal Mushrooms: Bioactive Compounds, Use, and Clinical Trials. Int. J. Mol. Sci. 2021, 22, 634. [Google Scholar] [CrossRef] [PubMed]
  6. Wasser, S.P. Medicinal mushroom science: Current perspectives, advances, evidences, and challenges. Biomed. J. 2014, 37, 345–356. [Google Scholar] [CrossRef]
  7. Lucius, K. Medicinal Mushrooms: Current Use in Clinical Practice. Altern. Complement. Ther. 2020, 26, 119–126. [Google Scholar] [CrossRef]
  8. Jayachandran, M.; Xiao, J.; Xu, B. A Critical Review on Health Promoting Benefits of Edible Mushrooms through Gut Microbiota. Int. J. Mol. Sci. 2017, 18, 1934. [Google Scholar] [CrossRef]
  9. Bingham, S.A.; Day, N.E.; Luben, R.; Ferrari, P.; Slimani, N.; Norat, T.; Clavel-Chapelon, F.; Kesse, E.; Nieters, A.; Boeing, H.; et al. European Prospective Investigation into Cancer and Nutrition. Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): An observational study. Lancet 2003, 361, 1496–1501. [Google Scholar] [CrossRef]
  10. Elsayed, E.A.; El Enshasy, H.; Wadaan, M.A.; Aziz, R. Mushrooms: A potential natural source of anti-inflammatory compounds for medical applications. Mediat. Inflamm. 2014, 2014, 805841. [Google Scholar] [CrossRef]
  11. Patel, D.K.; Dutta, S.D.; Ganguly, K.; Cho, S.J.; Lim, K.T. Mushroom-Derived Bioactive Molecules as Immunotherapeutic Agents: A Review. Molecules 2021, 26, 1359. [Google Scholar] [CrossRef] [PubMed]
  12. Rahman, M.A.; Rahman, M.S.; Bashir, N.M.B.; Mia, R.; Hossain, A.; Saha, S.K.; Kakon, A.J.; Sarker, N.C. Rationalization of Mushroom-Based Preventive and Therapeutic Approaches to COVID-19: Review. Int. J. Med. Mushrooms 2021, 23, 1–11. [Google Scholar] [CrossRef] [PubMed]
  13. Guggenheim, A.G.; Wright, K.M.; Zwickey, H.L. Immune Modulation From Five Major Mushrooms: Application to Integrative Oncology. Integr. Med. 2014, 13, 32–44. [Google Scholar]
  14. Jeitler, M.; Michalsen, A.; Frings, D.; Hübner, M.; Fischer, M.; Koppold-Liebscher, D.A.; Murthy, V.; Kessler, C.S. Significance of Medicinal Mushrooms in Integrative Oncology: A Narrative Review. Front. Pharmacol. 2020, 11, 580656. [Google Scholar] [CrossRef]
  15. Ferraro, V.; Venturella, G.; Pecoraro, L.; Gao, W.; Gargano, M.L. Cultivated mushrooms: Importance of a multipurpose crop, with special focus on Italian fungiculture. Plant Biosyst. 2022, 156, 130–142. [Google Scholar] [CrossRef]
  16. Chugh, R.M.; Mittal, P.; Mp, N.; Arora, T.; Bhattacharya, T.; Chopra, H.; Cavalu, S.; Gautam, R.K. Fungal Mushrooms: A Natural Compound With Therapeutic Applications. Front Pharmacol. 2022, 13, 925387. [Google Scholar] [CrossRef] [PubMed]
  17. Gargano, M.L.; Venturella, G.; Zervakis, G.I.; Calvo, R.; Ferraro, V. Medicinal Mushrooms as Part of the “Third Mission” Activities of Universities—A Science to Business Initiative Related to Mycotherapy. Int. J. Med. Mushrooms 2020, 22, 1237–1242. [Google Scholar] [CrossRef] [PubMed]
  18. Sarrocco, S.; Diquattro, S.; Baroncelli, R.; Cimmino, A.; Evidente, A.; Vannacci, G.; Doveri, F. A polyphasic contribution to the knowledge of Auxarthron (Onygenaceae). Mycol. Prog. 2015, 14, 112. [Google Scholar] [CrossRef]
  19. White, T.J.; Bruns, T.; Lee, S.; Taylor, J.W. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR Protocols: A Guide to Methods and Applications; Innis, M.A., Gelfand, D.H., Sninsky, J.J., White, T.J., Eds.; Academic Press: New York, NY, USA, 1990; pp. 315–322. [Google Scholar] [CrossRef]
  20. Bååth, E.; Anderson, T.H. Comparison of soil fungal/bacterial ratios in a pH gradient using physiological and PLFA-based techniques. Soil Biol. Biochem. 2003, 35, 955–963. [Google Scholar] [CrossRef]
  21. Roch, O.G.; Blunden, G.; Haig, D.J.; Coker, R.D.; Gay, C. Determination of aflatoxins in groundnut meal by high-performance liquid chromatography: A comparison of two methods of derivatisation of aflatoxin B1. Br. J. Biomed. Sci. 1995, 52, 312–316. [Google Scholar]
  22. Kang, H.H.; Yun, C.I.; Moon, J.Y.; Lee, J.G.; Kim, Y.J. Validation and measurement uncertainty of GC-MS quantification method for nicotine in dried mushrooms using QuEChERS extraction. Food Addit. Contam. Part A 2020, 37, 1687–1694. [Google Scholar] [CrossRef] [PubMed]
  23. McCleary, B.V.; Draga, A. Measurement of β-Glucan in Mushrooms and Mycelial Products. J. AOAC Int. 2016, 99, 364–373. [Google Scholar] [CrossRef] [Green Version]
  24. Kalra, E.K. Nutraceutical—Definition and introduction. AAPS Pharm. Sci. 2003, 5, 25. [Google Scholar] [CrossRef] [PubMed]
  25. Ronis, M.J.J.; Pedersen, K.B.; Watt, J. Adverse Effects of Nutraceuticals and Dietary Supplements. Annu. Rev. Pharmacol. Toxicol. 2018, 58, 583–601. [Google Scholar] [CrossRef] [PubMed]
  26. Marley, E.; Brown, P.; Leeman, D.; Donnelly, C. Analysis of Citrinin in Cereals, Red Yeast Rice Dietary Supplement, and Animal Feed by Immunoaffinity Column Cleanup and LC with Fluorescence Detection. J. AOAC Int. 2016, 99, 1025–1031. [Google Scholar] [CrossRef] [PubMed]
  27. Bensky, S.; Clavey, E.; Stöger, F. Chinese Herbal Medicine: Materia Medica 2004, 3rd ed.; Single Residue Methods; [EURL] EU Reference Laboratories (EURLs) for Residues of Pesticide; Eastland Press: Seattle, WA, USA, 2016; Available online: http://www.eurlpesticides.eu/library (accessed on 1 December 2022).
  28. Vandermolen, K.M.; Raja, H.A.; El-Elimat, T.; Oberlies, N.H. Evaluation of culture media for the production of secondary metabolites in a natural products screening program. AMB Express 2013, 3, 71. [Google Scholar] [CrossRef]
  29. Raja, H.A.; Baker, T.R.; Little, J.G.; Oberlies, N.H. DNA barcoding for identification of consumer-relevant mushrooms: A partial solution for product certification? Food Chem. 2017, 214, 383–392. [Google Scholar] [CrossRef] [Green Version]
Table 1. List of mushroom-based supplements commercial products analyzed in the survey.
Table 1. List of mushroom-based supplements commercial products analyzed in the survey.
SampleBatchActive Ingredient (as Indicated on the Label)
1ALentinula edodes (Shiitake)
2 Ganoderma lucidum (Reishi)
3 Agaricus blazei
4BLentinula edodes (Shiitake)
5 Ganoderma lucidum (Reishi)
6 Agaricus blazei
7CLentinula edodes (Shiitake)
8 Ganoderma lucidum (Reishi)
9 Agaricus blazei
10DGanoderma lucidum (Reishi)
11 Agaricus blazei
12 Lentinula edodes (Shiitake)
13EAgaricus blazei
14 Ganoderma lucidum (Reishi)
15 Lentinula edodes (Shiitake)
16FGanoderma lucidum (Reishi)
17 Agaricus blazei
18 Lentinula edodes (Shiitake)
19GLentinula edodes (Shiitake)
Table 2. Molecular identification, based on the homology of the ITS sequence of the fungal bioactive ingredients with sequences deposited in GenBank (https://www.ncbi.nlm.nih.gov/genbank/, accessed on 1 December 2022). Abbreviation: active ingredient, AI.
Table 2. Molecular identification, based on the homology of the ITS sequence of the fungal bioactive ingredients with sequences deposited in GenBank (https://www.ncbi.nlm.nih.gov/genbank/, accessed on 1 December 2022). Abbreviation: active ingredient, AI.
SampleBatchAI (as Indicated on the Label)IdentificationHomology (%)Reference Accession Number (GenBank)
1ALentinula edodes (Shiitake)Lentinula edodes99KY494570.1
2 Ganoderma lucidum (Reishi)Ganoderma resinaceum100MK415305.1
3 Agaricus blazeiGanoderma resinaceum98MK554775.1
4BLentinula edodes (Shiitake)Lentinula edodes98KY494570.1
5 Ganoderma lucidum (Reishi)Ganoderma lucidum88JQ520187.1
6 Agaricus blazeiDegraded DNA
7CLentinula edodes (Shiitake)Grifola frondosa99AY049123.1
8 Ganoderma lucidum (Reishi)Grifola frondosa100FJ766486.1
9 Agaricus blazeiGrifola frondosa99MN646229.1
10DGanoderma lucidum (Reishi)Ganoderma lucidum100MW554083.1
11 Agaricus blazeiAgaricus subrufescens99AJ244543.1
12 Lentinula edodes (Shiitake)Lentinula edodes99MW375037.1
13EAgaricus blazeiMore than one amplicon (yeasts)
14 Ganoderma lucidum (Reishi)Ganoderma sichuanense93JF915398.1
15 Lentinula edodes (Shiitake)More than one amplicon (yeasts)
16FGanoderma lucidum (Reishi)Ganoderma resinaceum99MG706242.1
17 Agaricus blazeiCordyceps militaris92AY725790.1
18 Lentinula edodes (Shiitake)Lentinula edodes99MN622787.1
19GLentinula edodes (Shiitake)Degraded DNA
Table 3. Concentration of ergosterol (ERG, µg g−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3).
Table 3. Concentration of ergosterol (ERG, µg g−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3).
SampleBatchERG (µg g−1)
MeanSD
1A452.85134.48
2 561.6040.54
3 151.9347.78
4B34.3818.56
5 332.5855.51
6 43.6013.16
7C129.9154.87
8 31.325.31
9 40.7510.06
10D15.873.80
11 20.191.90
12 3.450.77
13E1.790.11
14 132.2016.36
15 21.535.17
16F44.581.11
17 70.292.91
18 52.141.09
19G8.540.55
Table 4. Analysis of variance of ergosterol content in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
Table 4. Analysis of variance of ergosterol content in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
Source of VariationDegrees of FreedomMean SquareFp-ValueF Crit
Between Groups1876,985.13048.463<0.0011.882
Within Groups381588.544
Total56
Table 5. Concentration of Aflatoxins (AFTs, expressed as the sum of B1, B2, G1 and G2 AFTs, µg kg−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3); if concentration was below the method detection limit, values were reported as n.d. = not detected. * Values higher than that allowed by Commission Regulation (EC) No 1881/2006 of 19 December 2006, setting maximum levels for certain contaminants in foodstuffs (http://data.europa.eu/eli/reg/2006/1881/2022-01-01, accessed on 1 December 2022).
Table 5. Concentration of Aflatoxins (AFTs, expressed as the sum of B1, B2, G1 and G2 AFTs, µg kg−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3); if concentration was below the method detection limit, values were reported as n.d. = not detected. * Values higher than that allowed by Commission Regulation (EC) No 1881/2006 of 19 December 2006, setting maximum levels for certain contaminants in foodstuffs (http://data.europa.eu/eli/reg/2006/1881/2022-01-01, accessed on 1 December 2022).
SampleBatchAFTs (µg kg−1)
MeanSD
1A0.120.01
2 2.680.30
3 1.210.01
4B0.170.01
5 3.160.48
6 n.d.
7C2.620.06
8 1.720.29
9 4.99 *0.24
10Dn.d.
11 n.d.
12 n.d.
13En.d.
14 n.d.
15 n.d.
16Fn.d.
17 n.d.
18 n.d.
19Gn.d.
Table 6. Analysis of variance of total aflatoxins content in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
Table 6. Analysis of variance of total aflatoxins content in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
Source of VariationDegrees of FreedomMean SquareFp-ValueF Crit
Between Groups186.32711.305<0.0011.882
Within Groups380.560
Total56
Table 7. Concentration of metals content (iron, Fe; arsenic, As; cadmium, Cd; mercury, Hg and lead, Pb expressed as µg g−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3). Values higher than that allowed by Commission Regulation (EC) No 1881/2006 of 19 December 2006, setting maximum levels for certain contaminants in foodstuffs (http://data.europa.eu/eli/reg/2006/1881/2022-01-01, accessed on 1 December 2022).
Table 7. Concentration of metals content (iron, Fe; arsenic, As; cadmium, Cd; mercury, Hg and lead, Pb expressed as µg g−1 DW) for sample. Values are given as samples mean ± SD (standard deviation, n = 3). Values higher than that allowed by Commission Regulation (EC) No 1881/2006 of 19 December 2006, setting maximum levels for certain contaminants in foodstuffs (http://data.europa.eu/eli/reg/2006/1881/2022-01-01, accessed on 1 December 2022).
SampleBatchFe (µg g−1)As (µg g−1)Cd (µg g−1)Hg (µg g−1)Pb (µg g−1)
1A62.359 ± 16.989<0.05<0.05<0.01<0.05
2 19.664 ± 2.545<0.05<0.05<0.01<0.05
3 8.238 ± 1.501<0.05<0.05<0.01<0.05
4B26.865 ± 3.983<0.05<0.05<0.01<0.05
5 23.636 ± 3.505<0.05<0.05<0.01<0.05
6 104.018 ± 15.424<0.05<0.050.046 ± 0.005<0.05
7C8.860 ± 1.314<0.050.072 ± 0.012<0.010.131 ± 0.011
8 62.295 ± 9.237<0.05<0.05<0.01<0.05
9 110.803 ± 16.429<0.050.302 ± 0.0200.026 ± 0.0020.071 ± 0.025
10D2.912 ± 0.432<0.05<0.05<0.01<0.05
11 6.688 ± 0.992<0.05<0.05<0.01<0.05
12 2.041 ± 0.303<0.05<0.05<0.01<0.05
13E7.511 ± 1.114<0.05<0.05<0.01<0.05
14 4.720 ± 0.700<0.050.086 ± 0.006<0.010.059 ± 0.011
15 6.116 ± 0.907<0.050.238 ± 0.0100.035 ± 0.0100.123 ± 0.013
16F15.026 ± 2.228<0.05<0.05<0.01<0.05
17 27.286 ± 4.046<0.05<0.05<0.01<0.05
18 13.341 ± 1.978<0.05<0.05<0.01<0.05
19G55.001 ± 1.928<0.05<0.05<0.01<0.05
Table 8. Analysis of variance of iron, cadmium, mercury and lead contents in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
Table 8. Analysis of variance of iron, cadmium, mercury and lead contents in a panel of 19 mushroom-based supplements between the mean values determined on 3 different capsules.
MetalSource of VariationDegrees of FreedomMean SquareFp-ValueF Crit
IronBetween Groups183347.2466.725<0.0011.882
Within Groups3850.16
Total56
CadmiumBetween Groups1822.464627.678<0.0011.882
Within Groups380.036
Total56
MercuryBetween Groups180.683100.5607<0.0011.882
Within Groups380.006
Total56
LeadBetween Groups185.509101.025<0.0011.882
Within Groups380.055
Total56
Table 9. Total glucan content determined in 19 mushroom-based supplements in single capsule (Cps 1 to 5) and on the mixture derived from 5 capsules (Mix of 5 cps) and expressed in g 100 g−1 DW.
Table 9. Total glucan content determined in 19 mushroom-based supplements in single capsule (Cps 1 to 5) and on the mixture derived from 5 capsules (Mix of 5 cps) and expressed in g 100 g−1 DW.
SampleTotal Glucan Content (g 100g −1 DW)
Cps 1Cps 2Cps 3Cps 4Cps 5MinMaxMeanMix of 5 Cps
136.7038.3935.7927.5728.9227.5738.3933.4726.23
230.4730.7829.6232.8324.1824.1832.8329.5829.12
342.1257.8446.1732.0826.8126.8157.8441.0130.41
428.0228.1324.2230.2223.7623.7630.2226.8727.83
574.5678.1634.9250.2539.7534.9278.1655.5333.05
640.4944.2641.9237.1940.2637.1944.2640.8238.53
731.8334.2431.9139.7931.4231.4239.7933.8436.51
830.4739.7831.0325.6719.1519.1539.7829.2221.37
937.6432.1630.6947.6831.6630.6947.6835.9733.05
1041.3340.1737.8633.0628.2628.2641.3336.1431.42
1128.6429.8026.8323.2122.3522.3529.8026.1623.75
1253.2352.9146.4135.9831.3731.3753.2343.9835.35
1356.8248.8157.4360.0553.2248.8160.0555.2750.29
1456.5049.2855.7657.6651.6149.2857.6654.1655.55
1550.4748.9246.6147.1556.5446.6156.5449.9460.34
1649.7344.0341.1841.8640.3040.3049.7343.4247.49
1724.8124.6822.5825.3124.3622.5825.3124.3525.08
1840.4743.8736.7544.7140.1436.7544.7141.1939.82
1936.0834.3431.8435.6434.6031.8436.0834.5035.84
Table 10. Analysis of variance of total glucan content in a panel of 19 mushroom-based supplements between the mean values determined on 5 different capsules and the mixture derived from 5 capsules.
Table 10. Analysis of variance of total glucan content in a panel of 19 mushroom-based supplements between the mean values determined on 5 different capsules and the mixture derived from 5 capsules.
Source of VariationDegrees of FreedomMean SquareFp-ValueF Crit
Between Groups18189.7157.122<0.0012.182
Within Groups1926.638
Total37
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Risoli, S.; Nali, C.; Sarrocco, S.; Cicero, A.F.G.; Colletti, A.; Bosco, F.; Venturella, G.; Gadaleta, A.; Gargano, M.L.; Marcotuli, I. Mushroom-Based Supplements in Italy: Let’s Open Pandora’s Box. Nutrients 2023, 15, 776. https://doi.org/10.3390/nu15030776

AMA Style

Risoli S, Nali C, Sarrocco S, Cicero AFG, Colletti A, Bosco F, Venturella G, Gadaleta A, Gargano ML, Marcotuli I. Mushroom-Based Supplements in Italy: Let’s Open Pandora’s Box. Nutrients. 2023; 15(3):776. https://doi.org/10.3390/nu15030776

Chicago/Turabian Style

Risoli, Samuele, Cristina Nali, Sabrina Sarrocco, Arrigo Francesco Giuseppe Cicero, Alessandro Colletti, Filippo Bosco, Giuseppe Venturella, Agata Gadaleta, Maria Letizia Gargano, and Ilaria Marcotuli. 2023. "Mushroom-Based Supplements in Italy: Let’s Open Pandora’s Box" Nutrients 15, no. 3: 776. https://doi.org/10.3390/nu15030776

APA Style

Risoli, S., Nali, C., Sarrocco, S., Cicero, A. F. G., Colletti, A., Bosco, F., Venturella, G., Gadaleta, A., Gargano, M. L., & Marcotuli, I. (2023). Mushroom-Based Supplements in Italy: Let’s Open Pandora’s Box. Nutrients, 15(3), 776. https://doi.org/10.3390/nu15030776

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop