Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM)

Li, Yun; Ji, Zhang; Li, Tao; Liu, Honggao; Li, Jieqing; Wang, Yuanzhong

doi:10.1016/j.saa.2017.01.029

Cited by 76 publications

(43 citation statements)

References 49 publications

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“…It is noteworthy that as far as mushrooms are concerned, FTIR and NIR spectra have been also used to build prediction models suitable for addressing other issues, e.g., the post-harvest quality deterioration of A. bisporus fruitbodies [33,59] and the geographical traceability of Boletus spp. [60,61].…”

Section: Prediction Of Mushrooms Glucans Contentmentioning

confidence: 99%

Pleurotus Mushrooms Content in Glucans and Ergosterol Assessed by ATR-FTIR Spectroscopy and Multivariate Analysis

Bekiaris

Tagkouli

Koutrotsios

et al. 2020

Foods

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Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was used to monitor the infrared absorption spectra of 79 mushroom samples from 29 Pleurotus ostreatus, P. eryngii and P. nebrodensis strains cultivated on wheat straw, grape marc and/or by-products of the olive industry. The spectroscopic analysis provided a chemical insight into the mushrooms examined, while qualitative and quantitative differences in regions related to proteins, phenolic compounds and polysaccharides were revealed among the species and substrates studied. Moreover, by using advanced chemometrics, correlations of the recorded mushrooms’ spectra versus their content in glucans and ergosterol, commonly determined through traditional analytical techniques, allowed the development of models predicting such contents with a good predictive power (R2: 0.80–0.84) and accuracy (low root mean square error, low relative error and representative to the predicted compounds spectral regions used for the calibrations). Findings indicate that FTIR spectroscopy could be exploited as a potential process analytical technology tool in the mushroom industry to characterize mushrooms and to assess their content in bioactive compounds.

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Section: Prediction Of Mushrooms Glucans Contentmentioning

confidence: 99%

Pleurotus Mushrooms Content in Glucans and Ergosterol Assessed by ATR-FTIR Spectroscopy and Multivariate Analysis

Bekiaris

Tagkouli

Koutrotsios

et al. 2020

Foods

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show abstract

“…discriminated Leccinum rugosiceps from different geographical origins successfully by SVM using data fusion. The same method was applied to geographical traceability of wild Boletus edulis by Li et al . Meanwhile, it also indicated that the classification model of GS‐SVM could provide better performance than PLS‐DA for geographical origin traceability.…”

Section: Resultsmentioning

confidence: 99%

“…For example, Dankowska 14 provided a synergistic effect for the detection of cocoa butter adulteration with cocoa butter equivalents by using data fusion of fluorescence and UV spectroscopy. Li et al 15 established a method by data fusion of Fourier transform mid-infrared (FTMIR) spectroscopy and inductively coupled optical emission spectrometry (ICP-OES) for geographical traceability of wild Boletus edulis, and the results indicated that the data fusion strategy could improve classification accuracy. As reported by Pizarro et al, 16 data fusion of visible fingerprints and physicochemical parameters was used to classify extra virgin olive oils from different Spanish regions.…”

Section: Introductionmentioning

confidence: 99%

Traceability of Boletaceae mushrooms using data fusion of UV–visible and FTIR combined with chemometrics methods

Yao

Liu

et al. 2017

J Sci Food Agric

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“…An accurately weighted mushroom powder (300 ± 0.2 mg) was extracted by 6 mL HNO 3 and 3 mL H 2 O 2 in the polytetrafluoroethylene vessel which was placed into 30% HNO 3 solution overnight and then dried in an oven after rinsing. The previous version of our published digestion method was applied in this study (Li et al., ). The certified reference material was detected for validating method's accuracy and precision.…”

Section: Methodsmentioning

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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Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM)

Cited by 76 publications

References 49 publications

Pleurotus Mushrooms Content in Glucans and Ergosterol Assessed by ATR-FTIR Spectroscopy and Multivariate Analysis

Pleurotus Mushrooms Content in Glucans and Ergosterol Assessed by ATR-FTIR Spectroscopy and Multivariate Analysis

Traceability of Boletaceae mushrooms using data fusion of UV–visible and FTIR combined with chemometrics methods

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

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