Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate <i>Boletus edulis</i> and <i>Boletus tomentipes</i> mushrooms

Qi, Luming; Zhang, Ji; Liu, Honggao; Li, Tao; Wang, Yuanzhong

doi:10.1080/10942912.2017.1289387

Cited by 20 publications

(10 citation statements)

References 40 publications

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“…Hence, it seems important to take initiatives for the sustainable use of this species. For this, spectroscopic techniques can be used to classify samples of any type due to its speed and simplicity, and its low-cost approach (Qi et al, 2017). For example, Fourier transform midinfrared (FT-MIR) spectroscopy is an effective tool which can scan the chemical composition of a sample in the mid-infrared region (4000 to 400 cm −1 ) and the fingerprint region created by this technique can give information on the sample's certainty quality (Grunert et al, 2016;Muhtar et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Stem bark of Zanthoxylum zanthoxylodes a possible substitute of root bark for the conservation of the species in Burkina Faso

OuÃ©draogo¹,

Nacoulma²,

CompaorÃ³

et al. 2019

Afr. J. Biotechnol.

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Zanthoxylum zanthoxyloïdes (Lam.) is used for some health purposes in Burkina Faso. However, human action threatened this species in its native environment and its regeneration is difficult by the way of population. The main focus of this study is to discriminate samples of zanthoxyloïdes from different plant populations in order to find good specimens for traditional medicine and thus contribute to the conservation of this species. Plant materials were collected from three study sites named Niangoloko, Orodara and Sidéradougou. Samples powder, mixed with potassium bromide was used for the Fourier-Transform Infrared Spectrometry (FTIR) analysis. Multivariate data analysis was performed to highlight differences in the spectral profile among plant organs. Then, vanillic acid characteristic signals in infrared were identified by using literature data. Results showed that leaf and stem bark spectra were significantly different (p < 0.001 and p < 0.05, respectively) among the study sites, while root bark spectra were almost identical (p = 0.19). Root bark and stem bark both indicated similar patterns under vanillic acid characteristic signals. The use of stem bark instead of roots can be a substitute for root to the sustainable management of this species in its native environment.

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Section: Introductionmentioning

confidence: 99%

Stem bark of Zanthoxylum zanthoxylodes a possible substitute of root bark for the conservation of the species in Burkina Faso

OuÃ©draogo¹,

Nacoulma²,

CompaorÃ³

et al. 2019

Afr. J. Biotechnol.

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“…Fourier transform infrared (FT-IR) spectroscopy, the traditional technique espoused by the high sensitivity of conformational change and high-quality spectra, has been validated that it was a powerful tool for metabolite analysis of mushrooms (Baltacıoglu, Bayındırlı, Severcan, & Severcan, 2015;Ma et al, 2018;O'Gorman, Downey, Gowen, Barry-Ryan, & Frias, 2010). In the study of Qi, Zhang, Liu, Li, and Wang (2017), they identified B. edulis and B. tomentipes stemmed from different geographical origins using FT-IR combined with chemometrics including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and hierarchical cluster analysis (HCA). Comprised of FT-IR spectra and other analytical techniques, there also other published literatures concerning about discrimination research using data fusion strategy which is an extension of the study mentioned above (Qi, Li, Liu, Li, & Wang, 2018;Yao, Li, Li, Liu, & Wang, 2018a;Yao, Li, Liu, Li, & Wang, 2018b).…”

Section: Introductionmentioning

confidence: 99%

Species and Geographical Origins Discrimination of Porcini Mushrooms Based on FT‐IR Spectroscopy and Mineral Elements Combined with Sparse Partial Least Square‐Discriminant Analysis

Wang

Liu

et al. 2019

Journal of Food Science

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Misrecognition and toxic elements are two of several reasons responsible for food poisoning even death in the summer, a time when a great deal of edible mushrooms is celebrated in Southwestern China featured as complex environment conditions. It is highly important to identify the difference of chemical constituents in edible mushrooms at the regional‐scale. In this study, Fourier transform infrared (FT‐IR) spectroscopy and inductively coupled plasma mass spectrometry were applied to investigate organic matters and 18 mineral elements in porcini mushrooms of six species collected from 17 sampling sites in nine Yunnan cities. Classification models on the species, regions, and part levels were established using sparse partial least square‐discriminant analysis and principal component analysis. At the species level and region level accuracies of greater than 92.1% and 92.8% was achieved, respectively, whereas on the part level caps and stipes were classified with 96.7% accuracy. One of the most popular mushrooms is Boletus edulis characterized by polysaccharide, lipid, and ribonucleic acid as well as several phenolic compounds. Temperature and precipitation show possible influences on accumulations of polysaccharides and ribonucleic acid. Furthermore, the most important elements of caps contributed the difference between two parts are copper (Cu), zinc (Zn), and phosphorus (P), whereas stipes instead by manganese (Mn) and cobalt (Co). These results demonstrated that FT‐IR spectroscopy and elements contents provide information sufficient for classifying different porcini mushroom samples, which might be helpful for controlling food security and quality assessment of edible mushrooms.

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“…To date, various analytical approaches have been implemented to determine important components or metabolic fingerprints to analyze the quality of plants and food [ 13 , 14 , 15 , 16 ]. Many sensor systems have also been well conducted for the discrimination of mushrooms according to different microhabitats.…”

Section: Introductionmentioning

confidence: 99%

Feature Fusion of ICP-AES, UV-Vis and FT-MIR for Origin Traceability of Boletus edulis Mushrooms in Combination with Chemometrics

Liu

et al. 2018

Sensors

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Origin traceability is an important step to control the nutritional and pharmacological quality of food products. Boletus edulis mushroom is a well-known food resource in the world. Its nutritional and medicinal properties are drastically varied depending on geographical origins. In this study, three sensor systems (inductively coupled plasma atomic emission spectrophotometer (ICP-AES), ultraviolet-visible (UV-Vis) and Fourier transform mid-infrared spectroscopy (FT-MIR)) were applied for the origin traceability of 184 mushroom samples (caps and stipes) in combination with chemometrics. The difference between cap and stipe was clearly illustrated based on a single sensor technique, respectively. Feature variables from three instruments were used for origin traceability. Two supervised classification methods, partial least square discriminant analysis (FLS-DA) and grid search support vector machine (GS-SVM), were applied to develop mathematical models. Two steps (internal cross-validation and external prediction for unknown samples) were used to evaluate the performance of a classification model. The result is satisfactory with high accuracies ranging from 90.625% to 100%. These models also have an excellent generalization ability with the optimal parameters. Based on the combination of three sensory systems, our study provides a multi-sensory and comprehensive origin traceability of B. edulis mushrooms.

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Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms

Cited by 20 publications

References 40 publications

Stem bark of Zanthoxylum zanthoxylodes a possible substitute of root bark for the conservation of the species in Burkina Faso

Stem bark of Zanthoxylum zanthoxylodes a possible substitute of root bark for the conservation of the species in Burkina Faso

Species and Geographical Origins Discrimination of Porcini Mushrooms Based on FT‐IR Spectroscopy and Mineral Elements Combined with Sparse Partial Least Square‐Discriminant Analysis

Feature Fusion of ICP-AES, UV-Vis and FT-MIR for Origin Traceability of Boletus edulis Mushrooms in Combination with Chemometrics

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