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Journal of Fungi logoLink to Journal of Fungi
. 2022 Apr 27;8(5):452. doi: 10.3390/jof8050452

Spatial Assessment of Potentially Toxic Elements (PTE) Concentration in Agaricus bisporus Mushroom Collected from Local Vegetable Markets of Uttarakhand State, India

Pankaj Kumar 1,, Vinod Kumar 1,, Ebrahem M Eid 2,3,, Arwa A AL-Huqail 4,, Bashir Adelodun 5,6, Sami Abou Fayssal 7,8, Madhumita Goala 9, Ashish Kumar Arya 10, Archana Bachheti 10, Željko Andabaka 11, Kyung Sook Choi 7, Ivan Širić 11,*
Editor: Nuria Ferrol
PMCID: PMC9143082  PMID: 35628708

Abstract

This study presents a spatial assessment of eight potentially toxic elements (PTE: Cd, Cr, Cu, Fe, Pb, Ni, Mn, and Zn) in white button (Agaricus bisporus J.E. Lange) mushroom samples collected from the local vegetable markets of Uttarakhand State, India. Fresh A. bisporus samples were collected from thirteen districts and fifteen sampling locations (M1-M15) and analyzed for the concentration of these PTE using atomic absorption spectroscopy (AAS). The results revealed that A. bisporus contained all eight selected PTE in all sampling locations. Based on the inverse distance weighted (IDW) interpolation, principal component (PC), and hierarchical cluster (HC) analyses, the areas with a plane geographical distribution showed the highest PTE concentrations in the A. bisporus samples as compared to those in hilly areas. Overall, the decreasing order of PTE concentration in A. bisporus was recognized as Fe > Zn > Mn > Cr > Cu > Ni > Cd > Pb. The Kruskal–Wallis ANOVA tests displayed a highly significant (p < 0.05) difference among the sampling locations. However, the concentration of PTE was below permissible limits, indicating no potential hazard in consuming the A. bisporus. Similarly, the health risk assessment studies using the target hazard quotient (THQ) also showed no significant health risk associated with the consumption of A. bisporus being sold in the local mushroom markets of Uttarakhand, India. This study is the first report on state-level monitoring of PTE in A. bisporus mushrooms, which provides crucial information regarding the monitoring and occurrence of potentially toxic metallic elements.

Keywords: cluster analysis, health risk, potentially toxic elements, mushroom, spatial analysis, principal component

1. Introduction

Around the globe, the consumption of mushrooms is gaining attention due to their unique flavor and high nutritional value compared to meat and vegetables [1]. Their nutritional value is mainly related to the composition of substrates on which they are grown, including the type of added supplements. Therefore, substrates (e.g., composts), including raw and casing materials, play a crucial role in the production, preservation, and marketing of quality mushrooms [2]. The close interrelationship between substrates and mushrooms prompts researchers to investigate possible dangers to human health as a result of mushroom consumption. Agaricus bisporus (button mushroom) is considered a strong bio-accumulator of potentially toxic elements (PTE), especially mercury (Hg), lead (Pb), and cadmium (Cd) [3,4]. The mushroom usually grows on composted lignocellulosic materials, which can contain considerable levels of PTE [5]. Accordingly, A. bisporus could be a natural “treatment plant” for different agro-industrial, dairy, and domestic wastewaters [6], resulting in reduced hazardous dispersion of PTE in the environment. However, not all button mushrooms that are consumed are a product of human cultivation, especially in developing countries where the local population tends to forage and sell the mushroom in rural markets as their main source of income [7,8]. The PTE concentrations of these wild mushrooms may be very high if they are collected near mines or industrial factories [9].

Potentially toxic elements are non-degradable elements that can accumulate and pose high risks to human health when found in high concentrations in the food chain [10,11,12,13,14]. Although several PTE (e.g., Cu, Fe, Zn, Ni) are essential elements for the human body, when consumed at high concentrations, they can cause fatal neurological disorders, allergic reactions, abnormal hemoglobin content, growth retardation in children, hemolysis, and nephrotic effects [3,15,16]. On this basis, several countries and commissions, such as the USEPA, WHO, and FAO/WHO Codex, have specified maximum limits of PTE in mushrooms intended for human consumption [17,18].

Uttarakhand, one of the 28 states of India, contains 45.44% forest area, making it a plentiful location for several saprophytic and mycorhizal fungal species [19,20,21]. Uttarakhand State has been contributing to increasing mushroom production in India since its establishment in the year 2000. Recent figures found the annual mushroom production in Uttarakhand to be 10236 metric tons [22]. Out of this total, A. bisporus is the most commonly produced, and is obtained from three sources: (i) collected from wild forest areas, (ii) commercially grown on farms, and (iii) locally grown by small farmers [23]. In this state, the majority of cultivated mushrooms are sold in the local vegetable markets. For the cultivation of A. bisporus, the farmers use agricultural residues of wheat crop (straw). Since it is observed that PTE contents can be transferred to the edible parts of mushrooms through the process of bioaccumulation, it is therefore necessary to monitor their levels in mushrooms sold in the local vegetable markets in Uttarakhand State.

Sinha and co-workers previously investigated the PTE contents and their availability in button mushrooms collected from two markets in other states of India, including Maharashtra [3]. They observed copper (Cu), iron (Fe), zinc (Zn), manganese (Mn), cadmium (Cd), and lead (Pb) contents in A. bisporus lower than the safe limits reported by USEPA, Indian Standards, WHO, and FAO [18,24]. However, a large spatial assessment of PTE concentrations in mushrooms collected from Uttarakhand State markets within the districts has not yet been conducted. Therefore, the current study investigated the spatial PTE contents in A. bisporus mushrooms collected from fifteen local markets located in different areas of Uttarakhand State, India.

2. Materials and Methods

2.1. Description of the Study Area and Sample Collection

The current study was conducted in the Uttarakhand State of India. Uttarakhand State is one of the 28 states of India with a total area of 53,483 km2 and a population of 11.5 million. Over 86% of the total area is covered by mountains while 45.44% is covered by forests. This makes Uttarakhand a rich habitat for many edible and non-edible macrofungi [20,21]. The mushroom samples were collected from fifteen sampling sites (M1 to M15) located in each of the thirteen districts in Uttarakhand State. Figure 1 and Table 1 show the geographical distribution of A. bisporus sample collection sites. The sampling locations were divided into two groups, namely hilly and plain areas, based on their elevation. Specifically, the fresh fruiting bodies of A. bisporus mushroom were collected from local vegetable markets of the selected locations. The collected mushroom samples (n = 3 for each market) were washed thoroughly to remove any adhering dirt or soil particles and dried using blotting paper.

Figure 1.

Figure 1

Map view of the study area (▲ sampling sites).

Table 1.

Description of different locations (M1–M15) selected for A. bisporus collection in Uttarakhand state, India.

Site Code Site Name (Vegetable Market) District Longitude Latitude Elevation (m)
M1 Jwalapur Sabji Mandi Haridwar 78.10285 29.91545 281
M2 Dehradun Sabji Mandi Dehradun 78.03421 30.31900 659
M3 Pauri Garhwal Sabji Mandi Pauri Garhwal 78.79454 30.22143 626
M4 Tehri Garhwal Sabji Mandi Tehri Garhwal 78.43813 30.38010 1050
M5 Uttarkashi Bus Stand Uttarkashi 78.43798 30.72878 1141
M6 Rudraprayag Bridge Market Rudraprayag 78.98489 30.28644 723
M7 Chamoli Gopeshwar Market Chamoli 79.31739 30.41037 1474
M8 Almora Chandni Chowk Almora 79.66361 29.60164 1602
M9 Nainital Bus Stand Nainital 79.46428 29.37957 1936
M10 Udham Singh Nagar Rudrapur Udham Singh Nagar 79.40320 28.97121 215
M11 Champawat Naad Bora Champawat 80.08405 29.33380 1691
M12 Bageshwar Saryu Bridge Bageshwar 79.77404 29.83861 877
M13 Pithoragarh Bus Stand Pithoragarh 80.21207 29.58334 1503
M14 Lansdown Trishakti Chowk Pauri Garhwal 78.68650 29.83720 1687
M15 Bironkhal Pauri Garhwal 79.02541 29.84294 1545

The mushroom samples were collected from November 2021 to January 2022, which is the most suitable period for seasonal A. bisporus cultivation by local growers. The samples were immediately transported to the laboratory in a polyurethane foam insulated ice cooler box (11 L, PinnacleThermo, Ahemdabad, Gujrat, India) and oven-dried (KI-181, Khera Instruments Pvt. Ltd., Delhi, India) at 60 °C until the constant weight of biomass was achieved. The samples were converted into a fine powder using a mechanical grinder (HL7576/00 600 W, Philips Amaze Ltd., Solan, India).

2.2. Analytical Methods

The concentration of PTE in mushroom samples was analyzed by using atomic absorption spectroscopy (AAS: A-Analyst 800, PerkinElmer, Waltham, USA). For this, 1 g dehydrated mushroom powder was mixed in a di-acid mixture (5 mL HNO3 + 2.5 mL HClO4) and left overnight for self-digestion (12 h). Further, the sample was adjusted to 50 mL using a 3% HNO3 solution followed by heating digestion on a hot plate (150 °C for 1 h) until a 10 mL sample was left. Finally, the digested sample was filtered through Whatman filter paper no. 41 and supernatants were used for PTE quantification (i.e., Cd, Cr, Cu, Fe, Pb, Mn, Ni, and Zn) using AAS. The detection limits of the instrument for Cd, Cr, Cu, Fe, Pb, Mn, Ni, and Zn were 3, 4, 4, 5, 20, 3, 10, and 3 µg/L, respectively [25,26]. Selective hollow cathode lamps of PTE were cast-off at optimum current and operated by following the standard operating procedures (SOPs) recommended by the manufacturer. The slit width of the instrument was adjusted to 0.5 nm and a mixture of air/acetylene gas was used to run the AAS. Calibration curves were prepared using standard solutions (0 as control, 0.5, 1, 5, 10, 50, and 100 mg/L) of PTE. Qualitative assurance of the PTE analysis results was performed based on the maximum recovery percentage (>98%). All analyses were conducted in triplicate.

2.3. Data Analysis

The data of PTE concentration were analyzed using principal component analysis (PCA) and hierarchical cluster analysis (HCA) tools. The principal component analysis is a statistical technique widely used to study the relative contribution of participating data groups based on their correlation or covariance coefficients. By using PCA, eigenvectors and variance values are extracted from the matrix, which allows for a comparison of the dominance of selected variables [27]. These values are extracted as two or more groups based on data coverage known as principal components (PCs). A biplot is drawn from the computed covariance matrix, which reflects the coordinates of the original variable and their relation to participating data groups. Due to its high efficiency in estimating spatial and temporal patterns of environmental and agriculture data, PCA has been explored by numerous researchers [4,28]. Similarly, cluster analysis is a useful technique for identifying data groups having the highest or lowest pairwise similarities [29]. Agglomerative nesting (AGNES) is one of the best hierarchical algorithms for developing similarity that utilizes single element clusters for each group. The result is developed as a form of a combined tree and heatmap that represents similarities between all participating groups [30]. Therefore, PCA and cluster analysis were performed in the current study to draw a covariance matrix, biplots, and clustered heatmaps to understand the relationship between sampling locations and their influence on PTE availability in A. bisporus mushroom samples collected from the Uttarakhand State. Moreover, the map-based graphical visualization of the PTE data was conducted using the inverse distance weighted (IDW) interpolation method of the geographical information system (GIS) approach [31].

The health risk associated with the consumption of PTE contaminated A. bisporus by the consumers of Uttarakhand State, India was computed using the Target Hazard Quotient (THQ) approach. By using THQ, a health risk index (HRI) is developed, which is used to assess the occurrence of health hazards [31,32,33]. An HRI value above 1 indicates a potential health risk in consuming the contaminated mushroom [34]. For this, THQ and HRI values of A. bisporus samples collected from selected sites were calculated by using the following equations (Equations (1) and (2)):

THQ = 10−3 × (PTEEE × IEA × PTECF × PTEC)/(IBW × PTEACP × PTERD) (1)

where, PTEEE is the exposure efficiency of PTE (365 days/year), IEA is the exposure age of an individual (70 years), PTECF is the consumption frequency of PTE (2.2 g/day), PTEC is the PTE concentration in A. bisporus sample (fresh weight basis), IABW is the average body weight of the vegetable consumer (70 kg and 16 kg for adult and child groups), and PTEACP is the average consumption period of PTE (25,550 days). PTERD represents the PTE reference doses of Cd, Cu, Cr, Fe, Pb, Mn, Ni, and Zn, namely, 5.0 × 10−4, 4.2 × 10−2, 3.0 × 10−3, 7.0 × 10−1, 2.0 × 10−2, 1.4 × 10−2, 3.5 × 10−3, and 3.0 × 10−1 mg/kg/day, respectively [34]. Afterward, the HRI of PTE intake was computed [18,35]:

HRI = ∑THQs (2)

2.4. Software and Tools

The data were analyzed using Microsoft Excel 2019 (Microsoft Corporation, Redmond, WA, USA), OriginPro 2021b (OriginLab Corporation, Northampton, MA, USA), and QGIS Desktop (3.22.3-Białowieża, Open Source, Gispo Ltd., Helsinki, Finland) software packages. All values presented in the current study were calculated as mean followed by standard deviation (SD).

3. Results and Discussion

3.1. Concentration of PTE in A. bisporus Mushroom

The results of the PTE concentration in A. bisporus mushroom samples collected from different locations (M1–M15) of Uttarakhand State, India are summarized in Table 2. The statistical results of the Kruskal–Wallis (K-W) ANOVA revealed that the mean PTE concentration in A. bisporus samples varied significantly (p < 0.05) between the selected sampling locations. The concentration of Cd ranged from 0.06 ± 0.01 to 0.09 ± 0.1 mg/kg at all sites, which is very close to the safe limit (0.10 mg/kg) of Indian Standards [3]. The mean concentration of Cr was recorded as 16.21 ± 2.87 mg/kg. Similarly, the mean concentrations of Cu, Fe, Pb, Mn, Ni, and Zn were recorded as 15.07 ± 2.48, 37.37 ± 8.59, 0.05 ± 0.02, 20.00 ± 3.44, 1.05 ± 0.43, and 36.37 ± 3.39 mg/kg, respectively. Based on the location variation, the highest concentration of PTE was found at multiple sites such as Cd (M3, M9, M10, M11), Cr (M1), Cu (M12), Fe (M1, M3), Pb (M1, M2), Mn (M1, M13), Ni (M1, M12), and Zn (M1). In general, the M1 site showed a relatively higher concentration for Cr, Fe, Pb, Mn, Ni, and Zn PTE. The coefficient of variance (CV < 37.37%) also showed a relatively low error rate in state-wise monitoring of PTE in A. bisporus mushroom samples. Overall, no sample was found to have any of the selected PTE below the detection limits of the AAS. The presence of PTE in mushrooms is due to their vital role in fungal growth, metabolism, and reproduction. Elements such as Cu, Cr, Fe, Mn, Ni, and Zn are taken up by fungal mycelia as micro or trace nutrients, which further support their effective growth [36]. However, Cd and Pb are not essential nutrients and may harm mushroom growth if present in the substrate at high concentrations. However, these toxic elements may be taken up by mushroom cell walls as a substitute for other elements and to bring chemical equilibrium in the mycelial growth zone [4].

Table 2.

Concentration (Mean ± SD) of PTE in A. bisporus samples collected from different locations (M1–M15) of Uttarakhand state, India.

Site Code Potentially Toxic Elements (PTE) Concentration (mg/kg)
Cd Cr Cu Fe Pb Mn Ni Zn
M1 0.08 ± 0.01 20.35 ± 0.16 18.26 ± 0.08 48.28 ± 0.62 0.08 ± 0.01 26.35 ± 0.15 1.65 ± 0.10 42.34 ± 1.52
M2 0.06 ± 0.01 15.19 ± 0.28 13.69 ± 0.56 49.35 ± 0.45 0.08 ± 0.01 20.84 ± 0.37 1.51 ± 0.23 40.07 ± 0.80
M3 0.09 ± 0.01 16.02 ± 0.42 10.36 ± 1.30 48.16 ± 0.28 0.06 ± 0.02 17.18 ± 0.40 1.07 ± 0.09 37.20 ± 2.43
M4 0.07 ± 0.01 19.46 ± 0.80 14.21 ± 0.96 42.03 ± 1.34 0.01 ± 0.03 20.07 ± 0.24 0.68 ± 0.06 41.93 ± 1.30
M5 0.05 ± 0.01 18.08 ± 1.07 17.82 ± 0.25 37.28 ± 2.70 0.03 ± 0.02 16.66 ± 0.16 0.47 ± 0.07 34.45 ± 0.65
M6 0.06 ± 0.02 19.06 ± 0.71 14.67 ± 0.30 41.73 ± 1.08 0.03 ± 0.01 24.50 ± 0.70 0.39 ± 0.05 36.85 ± 1.05
M7 0.04 ± 0.03 14.38 ± 1.02 15.44 ± 0.46 40.26 ± 0.55 0.04 ± 0.02 18.15 ± 1.30 0.66 ± 0.12 40.10 ± 0.30
M8 0.07 ± 0.01 15.10 ± 0.45 15.35 ± 0.27 31.82 ± 0.38 0.07 ± 0.01 15.94 ± 0.83 0.90 ± 0.16 34.42 ± 2.73
M9 0.09 ± 0.01 14.72 ± 0.30 14.84 ± 0.02 20.10 ± 3.91 0.01 ± 0.01 16.49 ± 0.32 0.65 ± 0.10 36.00 ± 0.50
M10 0.09 ± 0.01 16.05 ± 0.21 12.73 ± 0.15 28.13 ± 0.56 0.06 ± 0.01 18.76 ± 0.60 1.30 ± 0.24 31.08 ± 0.78
M11 0.09 ± 0.01 13.29 ± 0.59 13.08 ± 0.80 34.19 ± 0.10 0.07 ± 0.01 21.30 ± 1.30 1.10 ± 0.08 35.19 ± 1.35
M12 0.08 ± 0.02 10.23 ± 0.28 19.70 ± 0.11 27.32 ± 0.43 0.02 ± 0.01 23.42 ± 0.45 1.66 ± 0.19 33.87 ± 0.82
M13 0.05 ± 0.01 19.75 ± 0.14 17.36 ± 1.09 43.12 ± 0.22 0.03 ± 0.02 25.10 ± 0.20 1.32 ± 0.14 34.03 ± 0.42
M14 0.02 ± 0.01 18.03 ± 0.53 16.02 ± 0.26 30.54 ± 0.70 0.05 ± 0.01 17.05 ± 0.36 1.54 ± 0.08 32.30 ± 0.36
M15 0.06 ± 0.01 13.45 ± 0.42 12.55 ± 0.08 38.27 ± 0.86 0.06 ± 0.02 18.16 ± 0.30 0.87 ± 0.12 35.74 ± 0.10
Mean ± SD 0.07 ± 0.02 16.21 ± 2.87 15.07 ± 2.48 37.37 ± 8.59 0.05 ± 0.02 20.00 ± 3.44 1.05 ± 0.43 36.37 ± 3.39
CV (%) 31.40 17.68 16.48 23.00 51.05 17.20 40.97 9.32
K-W 0.047 0.001 0.002 0.003 0.042 0.009 0.025 0.019
SL 0.10 20.00 40.00 425.00 0.20 30.00 1.50 50.00
Reference [3] [3] [3] [18] [18] [18] [3] [3]

CV: coefficient of variance; SL: safe limits; K-W: Kruskal–Wallis p-value.

Based on the contour maps generated using the IDW interpolation tool of QGIS (Figure 2 and Figure 3), the eight districts of Uttarakhand State (M1: Haridwar; M3: Pauri Garhwal; M8: Almora; M9: Nainital; M10: Udham Singh Nagar; M11: Chapawat; M12: Bageshwar, and M13: Pithoragarh) were more affected with Cd contamination, whereas Fe and Cr were highest in the case of the M1 and M2 locations. Similarly, these two locations showed the occurrence of other PTE in the highest concentrations, which might be due to their location in plane areas where the majority of agricultural and industrial activities occur. The mushroom growers use locally available substrates such as wheat straw, wheat bran, animal manures, chemical fertilizers (urea, di-ammonium phosphate, super-phosphate, etc.), and soil-compost mixtures for casing material, which might be the source of the PTE absorbed by the A. bisporus.

Figure 2.

Figure 2

Spatial concentration of Cd, Cr, Cu, and Fe in A. bisporus samples collected from different locations (M1–M15) of Uttarakhand state, India.

Figure 3.

Figure 3

Spatial concentration of Pb, Mn, Ni, and Zn in A. bisporus samples collected from different locations (M1–M15) of Uttarakhand state, India.

Based on the altitudinal variation in sampling sites, it is evident that the sites having lower elevation (plane areas) showed higher concentrations of the selected PTE. For instance, M1 is a plane region and its samples exhibited high levels of Cr, Cu, Fe, Pb, Mn, Ni, and Zn contamination. Wheat is the major crop in the M1 region, which can be attributed to the plane terrain and optimal seasonal conditions. The straw obtained after wheat harvesting is mainly used as fodder and for mushroom cultivation. As a result of the extensive utilization of chemical-based fertilizers and pesticides, and irrigation using polluted water sources, the wheat straw may also become contaminated, later affecting the elemental composition and quality of A. bisporus. The local mushroom growers of this region utilize wheat straw waste which might be contaminated with this PTE, which later accumulate within the fruiting bodies of A. bisporus. Higher elevation sites, by contrast, have limited availability of wheat straw substrate because of the unsuitable climatic conditions (i.e., they are usually cold). However, the sites with higher elevations exhibit good climatic conditions (usually cold) that support the natural occurrence of certain mushroom species including A. bisporus. The local markets at higher elevation sites sell A. bisporus sourced from both natural and commercial harvesting, which might be a reason behind the lower concentration of some PTE observed for these sites.

Previously, no study has reported a state-level analysis of PTE concentration in A. bisporus in the Uttarakhand State, India. However, a study by Singh et al. [37] analyzed the elemental composition of four Ganoderma mushroom species collected from wild forest areas of Uttarakhand State, India. They reported a total of 27 elements that did not exceed the recommended dose reference (RDF) values and were found to be safe for human consumption. Another study by Gaur et al. [38] also investigated the nutritional and elemental composition of seven mushroom species, including A. bisporus. Their results revealed that A. bisporus had significant PTE contents, including Cu, Cr, Fe, Mn, and Zn as analyzed by AAS. However, they did not report any concentration of Cd, Pb, As, and Hg PTE. Thus, the findings of this study suggest occurrences of several PTE, which did not reach the safe limit but still could pose risks to the consumer’s health.

3.2. PCA and Hierarchical Cluster Analysis

In this study, the interactive effect of sampling location on PTE availability in A. bisporus samples was analyzed using the PCA tool. The dimension reduction method of PCA helps in identifying the positive or negative interaction between the input variables [27]. Based on the PCA, the data were transformed into two different principal components (PC1 and PC2). The extracted components, namely, PC1 and PC2, had eigenvalues of 83.47 and 12.61 with the variance of 74.70% and 11.29%, respectively. These PCs were helpful in deriving the interactive effects of input locations and PTE availability in A. bisporus samples through the vector lengths given in Figure 4a. Moreover, the data given in Table 3 also shows the dominating PCs of PTE based on their actual vector lengths. The results indicate that Fe concentration was highest at M2, whilst Zn was highest at M1. The concentration of Cr and Mn was also highest at M1 with a positive interaction. On the other hand, Cu, Ni, and Pb exhibited negative interaction with sampling locations, where the highest Cu was observed at M12, and the highest Pb and Ni at the M1 site. Besides this, Cd showed the highest concentration at multiple sites (M3, M9, M10, and M11), indicating a potential health risk posed by this PTE at these locations.

Figure 4.

Figure 4

(a) PCA biplot and (b) clustered heatmap of Potentially Toxic Elements (PTE) concentration in A. bisporus samples collected from different locations (M1–M15) of Uttarakhand state, India.

Table 3.

PCA matrix results for dominance of Potentially Toxic Elements (PTE) in A. bisporus samples collected from different locations (M1-M15) of Uttarakhand state, India.

Potentially Toxic Elements (PTE) Principal Components
PC1 PC2
Variance (%) 74.70 11.29
Eigenvalue 83.47 12.61
Cd −0.01 −0.02
Cr 0.15 0.19
Cu −0.03 0.55
Fe 0.93 −0.16
Pb 0.01 −0.01
Mn 0.17 0.79
Ni 0.03 0.04
Zn 0.26 0.01

Bold values indicate dominating axis for specific PTE.

Similarly, the hierarchical cluster analysis (HCA) is a descriptive classification method widely used in identifying the data objects or groups having the highest similarities or dissimilarities [39]. In this study, the similarities among locations were determined based on the closeness of available heavy metal concentration in A. bisporus mushroom samples. By this method, a heat map-based clustered diagram (Figure 4b) was produced to understand identifiable data groups. Based on the nearest neighboring method of Euclidean clustering, the minimum and maximum distance identified were 1.77 and 3.96, respectively. Further, the highest similarities were shown by Pb-Ni, Cu-Mn, and Fe-Zn, while two other PTE (Cd and Cr) appeared in quite different individual clusters.

In previous studies, PCA has been a widely used and accepted tool for big data analysis, particularly for PTE in mushroom species. In a study by Buruleanu et al. [40], heavy metal concentrations were determined in the mushroom samples (regional, wild, and cultivated) collected from different locations in Romania. They implemented the PCA tool to assess the interaction between dominating PTE through the Varimax rotation method and found that K, Mg, Cd, and Cr showed the highest positive interaction. Moreover, the findings of this study were in line with those reported by Širić et al. [41], in which they analyzed PTE in 10 saprophytic mushroom species collected from Croatia. The cluster analysis showed the highest similarities between edible mushroom species belonging to the same phenotypic groups. Similarly, Bosiacki et al. [42] investigated PTE levels in wild A. bisporus mushroom samples collected from Poland. The HCA analysis helped in identifying similar regions having the highest heavy metal levels in A. bisporus samples. Therefore, PCA and HCA were helpful to understand the interactive effects of the availability of PTE in A. bisporus mushroom samples collected from the Uttarakhand state of India.

3.3. Health Risk Assessment of A. bisporus Mushroom

With an increasing rate of edible mushroom consumption, there has been a need for adequate monitoring of associated heavy metal levels. However, the toxicity of PTE varies largely based on the type and amount consumed. For this reason, toxicity studies using the target hazard quotient (THQ) health risk index (HRI) provide a better insight into the possible health hazard posed to an individual as well as the combined intake. In the present study, THQ and HRI indices were used to obtain critical index values for adult and child human groups. The results showed that the child human group was more susceptible to all eight selected PTE compared to the adult group. As given in Table 4, THQ values vary largely with changes in the sampling location. Notably, the combined HRI values were below 1, indicating no possible health hazard associated with the consumption of A. bisporus. More specifically, the highest HRI values were observed at the M1 (Haridwar) site, which might be due to the occurrence of a large number of industrial units (pharmaceutical, electroplating, agro-industrial, papermaking, textile, distillery, etc.) releasing toxic wastes into the environment. Apart from that, the M1 is a plane region with extensive agricultural activities, meaning high use of chemical fertilizers and pesticides [43], so these higher levels could also be a result of bioaccumulation of PTE from agricultural wastes to edible parts of mushrooms. Overall, the decreasing order of HRI in the study area was identified as M1 > M13 > M6 > M4 > M14 > M5 > M10 > M2 > M3 > M8 > M9 > M11 > M7 > M15 > M12. The uptake of PTE by A. bisporus depends on several factors such as their bioavailable concentrations in the composted substrate, casing soil, and irrigation water [5]. Moreover, substrate pH and organic matter also play an important role in constructing the substrate–fungal network, which facilitates the migration of PTE to the upper edible parts of the mushroom. The most prevalent PTE, including Cd, Cr, Cu, Pb, Ni, and Zn may pose health risks to the consumer if their intake amount and exposure duration are high. Lately harvested mushrooms may also show a high PTE concentration, as time plays an important role in creating equilibrium between mushrooms and the substrate used to grow them [8].

Table 4.

Target Hazard Quotient (TQH) and Health Risk Index (HRI) results of PTE in the A. bisporus samples collected from different locations (M1–M15) of Uttarakhand state, India.

Site Age Group Target Hazard Quotient (THQ) Health Risk Index (HRI) ^
Cd Cr Cu Fe Pb Mn Ni Zn
M1 Child 0.0033 0.1413 0.0101 0.0014 0.0001 0.0392 0.0098 0.0029 0.2082
Adult 0.0008 0.0323 0.0021 0.0003 0.0001 0.0090 0.0022 0.0007 0.0474
M2 Child 0.0025 0.1055 0.0075 0.0015 0.0001 0.0310 0.0090 0.0028 0.1599
Adult 0.0006 0.0241 0.0016 0.0003 0.0001 0.0071 0.0021 0.0006 0.0364
M3 Child 0.0038 0.1113 0.0079 0.0014 0.0001 0.0256 0.0064 0.0026 0.1590
Adult 0.0009 0.0254 0.0012 0.0003 0.0001 0.0058 0.0015 0.0006 0.0357
M4 Child 0.0029 0.1351 0.0097 0.0013 0.0001 0.0299 0.0040 0.0029 0.1858
Adult 0.0007 0.0309 0.0016 0.0003 0.0001 0.0068 0.0009 0.0007 0.0419
M5 Child 0.0021 0.1256 0.0090 0.0011 0.0001 0.0248 0.0028 0.0024 0.1677
Adult 0.0005 0.0287 0.0020 0.0003 0.0001 0.0057 0.0006 0.0005 0.0383
M6 Child 0.0025 0.1324 0.0095 0.0012 0.0001 0.0365 0.0023 0.0026 0.1869
Adult 0.0006 0.0303 0.0017 0.0003 0.0001 0.0083 0.0005 0.0006 0.0422
M7 Child 0.0017 0.0999 0.0071 0.0012 0.0001 0.0270 0.0039 0.0028 0.1436
Adult 0.0004 0.0228 0.0018 0.0003 0.0001 0.0062 0.0009 0.0006 0.0329
M8 Child 0.0029 0.1049 0.0075 0.0009 0.0001 0.0237 0.0054 0.0024 0.1478
Adult 0.0007 0.0240 0.0017 0.0002 0.0001 0.0054 0.0012 0.0005 0.0338
M9 Child 0.0038 0.1022 0.0073 0.0006 0.0001 0.0245 0.0039 0.0025 0.1448
Adult 0.0009 0.0234 0.0017 0.0001 0.0001 0.0056 0.0009 0.0006 0.0331
M10 Child 0.0038 0.1115 0.0080 0.0008 0.0001 0.0279 0.0077 0.0022 0.1619
Adult 0.0009 0.0255 0.0014 0.0002 0.0001 0.0064 0.0018 0.0005 0.0366
M11 Child 0.0038 0.0923 0.0066 0.0010 0.0001 0.0317 0.0065 0.0024 0.1444
Adult 0.0009 0.0211 0.0015 0.0002 0.0001 0.0072 0.0015 0.0006 0.0330
M12 Child 0.0033 0.0710 0.0051 0.0008 0.0001 0.0349 0.0099 0.0024 0.1274
Adult 0.0008 0.0162 0.0022 0.0002 0.0001 0.0080 0.0023 0.0005 0.0302
M13 Child 0.0021 0.1372 0.0098 0.0013 0.0001 0.0374 0.0079 0.0024 0.1979
Adult 0.0005 0.0313 0.0020 0.0003 0.0001 0.0085 0.0018 0.0005 0.0450
M14 Child 0.0008 0.1252 0.0089 0.0009 0.0001 0.0254 0.0092 0.0022 0.1727
Adult 0.0002 0.0286 0.0018 0.0002 0.0001 0.0058 0.0021 0.0005 0.0393
M15 Child 0.0025 0.0934 0.0067 0.0011 0.0001 0.0270 0.0052 0.0025 0.1385
Adult 0.0006 0.0213 0.0014 0.0003 0.0001 0.0062 0.0012 0.0006 0.0315

^: Indicates potential health risk if the value exceeds > 1.00.

A study by Igbiri et al. [44] investigated the THQ and HR of PTE in edible mushroom species in the Niger Delta, Nigeria. They observed that the maximum HR values were identified for Ni heavy metal, indicating serious health risks for the consumers. Similarly, Kumar et al. [5] also performed HRI studies for the uptake of PTE by A. bisporus cultivated on compost loaded with industrial wastewater. The values of THQ and HRI were below the specified health hazard level. Moreover, Karataş [45] also analyzed the contents of PTE in cultivated oyster mushrooms and performed THQ studies. The results revealed that the contents of six elements (Ca, Mg, Na, Zn, Cd, and Cr) were within permissible limits, indicating the edibility of the cultivated mushroom. Thus, the results of the above-mentioned studies are in agreement with the findings of the current study, thereby suggesting the importance of THQ and HRI indices in determining the health risks associated with the consumption of PTE-containing mushrooms.

4. Conclusions

This study analyzed the spatial variations in the concentrations of potentially toxic elements (PTE) in A. bisporus mushroom samples collected from different locations in Uttarakhand State, India. The findings of this study reveal that A. bisporus samples showed varying contents and concentration levels of eight PTE (Cd, Cr, Cu, Fe, Pb, Mn, Ni, and Zn). The mushroom samples collected from plane regions showed high concentrations of PTE compared to hilly regions. The PCA and HCA tools were useful in identifying the dominance and similarity characteristics of heavy metal availability. The contents of PTE in A. bisporus mushroom did not exceed the safe limits, while the health risk index exhibited no potential health hazard associated with their consumption. Thus, this study suggests the A. bisporus mushroom being sold in the local vegetable markets were safe for human consumption. Also, this study points out the healthiness and suitability of button mushrooms sold in Uttarakhand State vegetable markets. Further studies on monitoring of other PTE (Hg, As, Co, etc.) in A. bisporus, as well as other commercially sold mushroom species, are highly recommended.

Acknowledgments

This work is a person-to-person collaboration between P.K., E.M.E., and I.Š. The authors are grateful to their host institutes for providing the necessary facilities to conduct this study. E.M.E. extends his appreciation to King Khalid University for funding this work through the Research Group Project under grant number RGP. 1/7/43, King Khalid University, Abha, Saudi Arabia; A.A.A. express her gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project (PNURSP 2022R93), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. All individuals included in this section have consented to the acknowledgement.

Author Contributions

Conceptualization, P.K., V.K. and M.G.; Formal analysis, P.K.; Funding acquisition, E.M.E., A.A.A.-H., Ž.A. and I.Š.; Investigation, P.K. and A.K.A.; Methodology, P.K.; Project administration, E.M.E. and A.A.A.-H.; Resources, V.K.; Software, B.A. and M.G.; Supervision, V.K.; Validation, V.K., E.M.E., A.A.A.-H., B.A., S.A.F., A.K.A., A.B., Ž.A., K.S.C. and I.Š.; Visualization, P.K.; Writing—original draft, P.K., M.G. and I.Š.; Writing—review & editing, V.K., E.M.E., A.A.A.-H., B.A., S.A.F., A.K.A., A.B., Ž.A. and K.S.C. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

This research was funded by King Khalid University (grant number RGP.1/7/43), Abha, Saudi Arabia; and Princess Nourah bint Abdulrahman University Researchers Supporting Project (PNURSP 2022R93), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Footnotes

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References

  • 1.Abou Fayssal S., Alsanad M.A., el Sebaaly Z., Ismail A.I.H., Sassine Y.N. Valorization of Olive Pruning Residues through Bioconversion into Edible Mushroom Pleurotus Ostreatus (Jacq. Ex Fr.) P. Kumm. (1871) of Improved Nutritional Value. Scientifica. 2020;2020:39503. doi: 10.1155/2020/3950357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Alsanad M.A., Sassine Y.N., el Sebaaly Z., Abou Fayssal S. Spent Coffee Grounds Influence on Pleurotus Ostreatus Production, Composition, Fatty Acid Profile, and Lignocellulose Biodegradation Capacity. CYTA-J. Food. 2021;19:11–20. doi: 10.1080/19476337.2020.1845243. [DOI] [Google Scholar]
  • 3.Sinha S.K., Upadhyay T.K., Sharma S.K. Heavy Metals Detection in White Button Mushroom (Agaricus bisporus) Cultivated in State of Maharashtra, India. Biochem. Cell. Arch. 2019;19:3501–3506. doi: 10.35124/bca.2019.19.2.3501. [DOI] [Google Scholar]
  • 4.Kumar P., Kumar V., Adelodun B., Bedeković D., Kos I., Širić I., Alamri S.A.M., Alrumman S.A., Eid E.M., Abou Fayssal S., et al. Sustainable Use of Sewage Sludge as a Casing Material for Button Mushroom (Agaricus bisporus) Cultivation: Experimental and Prediction Modeling Studies for Uptake of Metal Elements. J. Fungi. 2022;8:112. doi: 10.3390/jof8020112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kumar V., Kumar P., Singh J., Kumar P. Use of Sugar Mill Wastewater for Agaricus bisporus Cultivation: Prediction Models for Trace Metal Uptake and Health Risk Assessment. Environ. Sci. Pollut. Res. 2021;28:26923–26934. doi: 10.1007/s11356-021-12488-7. [DOI] [PubMed] [Google Scholar]
  • 6.Mohammadhasani F., Ahmadimoghadam A., Asrar Z., Mohammadi S.Z. Growth Responses and Accumulation of Heavy Metals by Fungus Agaricus bisporus. Acta Bot. Hung. 2016;59:401–409. doi: 10.1556/ABot.58.2016.3-4.9. [DOI] [Google Scholar]
  • 7.Kumar V., Goala M., Kumar P., Singh J., Kumar P. Environmental Degradation: Causes and Remediation Strategies. Agro Environ Media-Agriculture and Ennvironmental Science Academy; Haridwar, India: 2020. Integration of Treated Agro-Based Wastewaters (TAWs) Management with Mushroom Cultivation; pp. 63–75. [Google Scholar]
  • 8.Kumar P., Kumar V., Goala M., Singh J., Kumar P. Integrated Use of Treated Dairy Wastewater and Agro-Residue for Agaricus bisporus Mushroom Cultivation: Experimental and Kinetics Studies. Biocatal. Agric. Biotechnol. 2021;32:101940. doi: 10.1016/j.bcab.2021.101940. [DOI] [Google Scholar]
  • 9.Sithole S.C., Mugivhisa L.L., Amoo S.O., Olowoyo J.O. Pattern and Concentrations of Trace Metals in Mushrooms Harvested from Trace Metal-Polluted Soils in Pretoria. S. Afr. J. Bot. 2017;108:315–320. doi: 10.1016/j.sajb.2016.08.010. [DOI] [Google Scholar]
  • 10.Birla Singh K., Taneja S.K. Concentration of Zn, Cu and Mn in Vegetables and Meat Foodstuffs Commonly Available in Manipur: A North Eastern State of India. Electron. J. Environ. Agric. Food Chem. 2010;9:610–616. [Google Scholar]
  • 11.Guerra F., Trevizam A.R., Muraoka T., Marcante N.C., Canniatti-Brazaca S.G. Heavy Metals in Vegetables and Potential Risk for Human Health. Sci. Agric. 2012;69:54–60. doi: 10.1590/S0103-90162012000100008. [DOI] [Google Scholar]
  • 12.Širić I., Humar M., Kasap A., Kos I., Mioč B., Pohleven F. Heavy Metal Bioaccumulation by Wild Edible Saprophytic and Ectomycorrhizal Mushrooms. Environ. Sci. Pollut. Res. 2016;23:18239–18252. doi: 10.1007/s11356-016-7027-0. [DOI] [PubMed] [Google Scholar]
  • 13.Širić I., Poljak M., Tomić D., Markota T., Kos I., Kasap A. Sadržaj Teških Metala i Bioakumulacijski Potencijal Nekih Samoniklih Jestivih Gljiva. Šumarski List. 2016;140:29–37. doi: 10.31298/sl.140.1-2.3. [DOI] [Google Scholar]
  • 14.Falandysz J., Mędyk M., Saba M., Zhang J., Wang Y., Li T. Mercury in traditionally foraged species of fungi (macromycetes) from the karst area across Yunnan province in China. Appl. Microbiol. Biotechnol. 2020;104:9421–9432. doi: 10.1007/s00253-020-10876-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kapahi M., Sachdeva S. Mycoremediation Potential of Pleurotus Species for Heavy Metals: A Review. Bioresour. Bioprocess. 2017;4:32–41. doi: 10.1186/s40643-017-0162-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Árvay J., Tomáš J., Hauptvogl M., Kopernická M., Kováčik A., Bajčan D., Massányi P. Contamination of Wild-Grown Edible Mushrooms by Heavy Metals in a Former Mercury-Mining Area. J. Environ. Sci. Health Part B. 2014;49:815–827. doi: 10.1080/03601234.2014.938550. [DOI] [PubMed] [Google Scholar]
  • 17.Širić I., Falandysz J. Contamination, Bioconcentration and Distribution of Mercury in Tricholoma Spp. Mushrooms from Southern and Northern Regions of Europe. Chemosphere. 2020;251:126614. doi: 10.1016/j.chemosphere.2020.126614. [DOI] [PubMed] [Google Scholar]
  • 18.USEPA Integrated Risk Information System, USEPA. [(accessed on 3 April 2022)]; Available online: https://www.epa.gov/iris.
  • 19.Pokhriyal P., Rehman S., Areendran G., Raj K., Pandey R., Kumar M., Sahana M., Sajjad H. Assessing Forest Cover Vulnerability in Uttarakhand, India Using Analytical Hierarchy Process. Model. Earth Syst. Environ. 2020;6:821–831. doi: 10.1007/s40808-019-00710-y. [DOI] [Google Scholar]
  • 20.Kothiyal G., Singh K., Kumar A., Juyal P., Guleri S. Wild Macrofungi (Mushrooms) Diversity Occurrence in the Forest of Uttarakhand, India. Biodiv. Res. 2019;53:7–32. [Google Scholar]
  • 21.FSI . Forest Survery of India: Uttarakhand, Technical Report. Land Use Statistics, Ministry of Agriculture; Dehradun, India: 2017. [Google Scholar]
  • 22.Sharma V.P., Annepu S.K., Gautam Y., Singh M., Kamal S. Status of Mushroom Production in India. Mushroom Res. 2017;26:111–120. [Google Scholar]
  • 23.Bhatt R.P., Singh U., Uniyal P. Healing Mushrooms of Uttarakhand Himalaya, India. Curr. Res. Environ. Appl. Mycol. 2018;8:1–23. doi: 10.5943/cream/8/1/1. [DOI] [Google Scholar]
  • 24.Gezahegn W.W. Study of Heavy Metals Accumulation in Leafy Vegetables of Ethiopia. IOSR J. Environ. Sci. Toxicol. Food Technol. 2017;11:57–68. doi: 10.9790/2402-1105015768. [DOI] [Google Scholar]
  • 25.Elbagermi M.A., Edwards H.G.M., Alajtal A.I. Monitoring of Heavy Metal Content in Fruits and Vegetables Collected from Production and Market Sites in the Misurata Area of Libya. ISRN Anal. Chem. 2012;2012:827645. doi: 10.5402/2012/827645. [DOI] [Google Scholar]
  • 26.Abrham F. Analysis of Heavy Metal Concentration in Some Vegetables Using Atomic Absorption Spectroscopy. Pollution. 2021;7:205–216. [Google Scholar]
  • 27.Abdi H., Williams L.J. Principal Component Analysis. Wiley Interdiscip. Rev. Comput. Stat. 2010;2:433–459. doi: 10.1002/wics.101. [DOI] [Google Scholar]
  • 28.Gowen A.A., O’Donnell C.P., Taghizadeh M., Cullen P.J., Frias J.M., Downey G. Hyperspectral Imaging Combined with Principal Component Analysis for Bruise Damage Detection on White Mushrooms (Agaricus bisporus) J. Chemom. 2008;22:259–267. doi: 10.1002/cem.1127. [DOI] [Google Scholar]
  • 29.Granato D., Santos J.S., Escher G.B., Ferreira B.L., Maggio R.M. Use of Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) for Multivariate Association between Bioactive Compounds and Functional Properties in Foods: A Critical Perspective. Trends Food Sci. Technol. 2018;72:83–90. doi: 10.1016/j.tifs.2017.12.006. [DOI] [Google Scholar]
  • 30.McCarthy R.V., McCarthy M.M., Ceccucci W. Applying Predictive Analytics. Springer; Cham, Switzerland: 2022. Finding Associations in Data Through Cluster Analysis; pp. 199–232. [Google Scholar]
  • 31.Xu H., Zhang C. Development and Applications of GIS-Based Spatial Analysis in Environmental Geochemistry in the Big Data Era. Environ. Geochem. Health. 2022:1–12. doi: 10.1007/s10653-021-01183-8. [DOI] [PubMed] [Google Scholar]
  • 32.Lion G.N., Olowoyo J.O. Population Health Risk Due to Dietary Intake of Toxic Heavy Metals from Spinacia Oleracea Harvested from Soils Collected in and around Tshwane. S. Afr. J. Bot. 2013;88:178–182. doi: 10.1016/j.sajb.2013.07.014. [DOI] [Google Scholar]
  • 33.Tucaković I., Barišić D., Grahek Ž., Kasap A., Širić I. 137 Cs in Mushrooms from Croatia Sampled 15--30 Years after Chernobyl. J. Environ. 2018;181:147–151. doi: 10.1016/j.jenvrad.2017.11.004. [DOI] [PubMed] [Google Scholar]
  • 34.Mahabadi M. Assessment of Heavy Metals Contamination and the Risk of Target Hazard Quotient in Some Vegetables in Isfahan. Pollution. 2020;6:69–78. doi: 10.22059/poll.2019.285113.645. [DOI] [Google Scholar]
  • 35.Zhong T., Xue D., Zhao L., Zhang X. Concentration of Heavy Metals in Vegetables and Potential Health Risk Assessment in China. Environ. Geochem. Health. 2018;40:313–322. doi: 10.1007/s10653-017-9909-6. [DOI] [PubMed] [Google Scholar]
  • 36.Gerwien F., Skrahina V., Kasper L., Hube B., Brunke S. Metals in Fungal Virulence. FEMS Microbiol. Rev. 2018;42:fux050. doi: 10.1093/femsre/fux050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Singh R., Kaur N., Shri R., Singh A.P., Dhingra G.S. Proximate Composition and Element Contents of Selected Species of Ganoderma with Reference to Dietary Intakes. Environ. Monit. Assess. 2020;192:270. doi: 10.1007/s10661-020-08249-7. [DOI] [PubMed] [Google Scholar]
  • 38.Gaur T., Rao P.B., Kushwaha K.P.S. Nutritional and Anti-Nutritional Components of Some Selected Edible Mushroom Species. Indian J. Nat. Prod. Resour. 2016;7:155–161. [Google Scholar]
  • 39.Cai L.M., Wang Q.S., Wen H.H., Luo J., Wang S. Heavy Metals in Agricultural Soils from a Typical Township in Guangdong Province, China: Occurrences and Spatial Distribution. Ecotoxicol. Environ. Saf. 2019;168:184–191. doi: 10.1016/j.ecoenv.2018.10.092. [DOI] [PubMed] [Google Scholar]
  • 40.Buruleanu L.C., Radulescu C., Antonia Georgescu A., Dulama I.D., Nicolescu C.M., Lucian Olteanu R., Stanescu S.G. Chemometric Assessment of the Interactions Between the Metal Contents, Antioxidant Activity, Total Phenolics, and Flavonoids in Mushrooms. Anal. Lett. 2019;52:1195–1214. doi: 10.1080/00032719.2018.1528268. [DOI] [Google Scholar]
  • 41.Širić I., Kasap A., Bedeković D., Falandysz J. Lead, Cadmium and Mercury Contents and Bioaccumulation Potential of Wild Edible Saprophytic and Ectomycorrhizal Mushrooms, Croatia. J. Environ. Sci. Health Part B. 2017;52:156–165. doi: 10.1080/03601234.2017.1261538. [DOI] [PubMed] [Google Scholar]
  • 42.Bosiacki M., Siwulski M., Sobieralski K., Krzebietke S. The Content of Selected Heavy Metals in Fruiting Bodies of Agaricus bisporus (Lange) Imbach. Wild Growing in Poland. J. Elem. 2018;23:875–886. doi: 10.5601/jelem.2017.22.3.1529. [DOI] [Google Scholar]
  • 43.Tandon S., Joshi R.K., Sand N.K. Monitoring of Organochlorine Pesticides in Water Collected from District Haridwar and Dehradun of Uttarakhand. Pestic. Res. J. 2010;22:19–22. [Google Scholar]
  • 44.Igbiri S., Udowelle N.A., Ekhator O.C., Asomugha R.N., Igweze Z.N., Orisakwe O.E. Edible Mushrooms from Niger Delta, Nigeria with Heavy Metal Levels of Public Health Concern: A Human Health Risk Assessment. Recent Pat. Food Nutr. Agric. 2018;9:31–41. doi: 10.2174/2212798409666171129173802. [DOI] [PubMed] [Google Scholar]
  • 45.Karataş A. Effects of Different Agro-Industrial Waste as Substrates on Proximate Composition, Metals, and Mineral Contents of Oyster Mushroom (Pleurotus Ostreatus) Int. J. Food Sci. Technol. 2022;57:1429–1439. doi: 10.1111/ijfs.15506. [DOI] [Google Scholar]

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