野生牛肝菌元素含量特征分析及其种类鉴别
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摘要
野生牛肝菌的营养价值及暴露风险关系到消费者的健康安全,并严重影响其市场稳定和贸易出口。本文采用电感耦合等离子体原子发射光谱法和傅里叶变换红外光谱法测定8种野生牛肝菌429份样品中12种元素的含量和光谱数据,分析元素含量特征及食用健康风险,同时基于元素含量、红外光谱、初级融合和中级融合数据分别建立偏最小二乘判别分析和支持向量机(SVM)判别模型,比较其鉴别效果。结果显示:野生牛肝菌富含Ca、Mg、Na、Zn等矿质元素,适量摄入可以补充人体营养需求,同时也应当注意部分牛肝菌的Cd暴露风险;基于中级融合建立SVM判别模型,其训练集和预测集正确率均为100%,能够快速、准确鉴别牛肝菌种类,有效避免因误采误食导致的中毒事件发生。系统性的对牛肝菌进行元素含量分析、健康风险评估和种类鉴别,为其品质安全评估和资源的开发利用提供参考。
The nutritional value and exposure risk of wild Boletaceae are related to consumers' health and safety, and influence market stability and trade exports seriously. In this paper, the contents of 12 kind of element contents in eight wild Boletaceae(429 samples in total)were determined and their corresponding infrared spectra data were collected by inductively coupled plasma atomic emission spectroscopy and Fourier transform infrared spectrometry. The content characteristics of elements and edible health risk were analyzed. Meanwhile, partial least squares discriminant analysis and support vector machine(SVM) discriminant models were established using element contents, infrared spectroscopy, low-level data fusion and mid-level data fusion. The classification results were compared. The results demonstrated that wild Boletaceae were rich in Ca, Mg, Na, Zn and other mineral elements, and moderate intake can supplement the nutritional needs of human body.Meanwhile, attention should also be paid to the risk of heavy metal exposure of some Boletaceae. The SVM discriminant model based on mid-level data fusion has the accuracy of training set and test set of 100%, which could be a promising technique to rapidly and accurately discriminate the species of Boletaceae. It can effectively avoid the occurrence of poisoning incidents caused by accidental ingestion. Analyzing the element contents, assessing the health risk and identifying the species of Boletaceae systematically, can provide a reference for the quality safety assessment and the development and utilization of resources.
The nutritional value and exposure risk of wild Boletaceae are related to consumers' health and safety, and influence market stability and trade exports seriously. In this paper, the contents of 12 kind of element contents in eight wild Boletaceae(429 samples in total)were determined and their corresponding infrared spectra data were collected by inductively coupled plasma atomic emission spectroscopy and Fourier transform infrared spectrometry. The content characteristics of elements and edible health risk were analyzed. Meanwhile, partial least squares discriminant analysis and support vector machine(SVM) discriminant models were established using element contents, infrared spectroscopy, low-level data fusion and mid-level data fusion. The classification results were compared. The results demonstrated that wild Boletaceae were rich in Ca, Mg, Na, Zn and other mineral elements, and moderate intake can supplement the nutritional needs of human body.Meanwhile, attention should also be paid to the risk of heavy metal exposure of some Boletaceae. The SVM discriminant model based on mid-level data fusion has the accuracy of training set and test set of 100%, which could be a promising technique to rapidly and accurately discriminate the species of Boletaceae. It can effectively avoid the occurrence of poisoning incidents caused by accidental ingestion. Analyzing the element contents, assessing the health risk and identifying the species of Boletaceae systematically, can provide a reference for the quality safety assessment and the development and utilization of resources.
引文
[1]Liu Y T,Chen D,You Y X,et al.Nutritional composition of boletus mushrooms from Southwest China and their antihyperglycemic and antioxidant activities[J].Food Chemistry,2016,211:83-91
[2]Rathore H,Prasad S,Sharma S.Mushroom nutraceuticals for improved nutrition and better human health:A review[J].Pharma Nutrition,2017,5(2):35-46
[3]Kala?P.A review of chemical composition and nutritional value of wild-growing and cultivated mushrooms[J].Journal of the Science of Food and Agriculture,2013,93(2):209-218
[4]Abbaspour N,Hurrell R,Kelishadi R.Review on iron and its importance for human health[J].Journal of Research in Medical Sciences,2014,19(2):164-174
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[14]Zhang D,Zhang Y,Morawska E,et al.Trace elements in Leccinum scabrum mushrooms and topsoils from K?odzka Dale in sudety mountains,Poland[J].Journal of Mountain Science,2013,10(4):621-627
[15]Epova E N,Bérail S,Zuliani T,et al.(87)Sr/(86)Sr isotope ratio and multielemental signatures as indicators of origin of European cured hams:The role of salt[J].Food Chemistry,2018,246:313-322
[16]Choong Y K,Lan J,Lee H L,et al.Differential identification of mushrooms sclerotia by IR macro-fingerprint method[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2016,152:34-42
[17]Khaleghi B,Khamis A,Karray F O,et al.Multisensor data fusion:A review of the state-of-the-art[J].Information Fusion,2013,14(1):28-44
[18]Li Y,Zhang J,Li T,et al.Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AEScoupled with data mining methods(SVM)[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2017,177:20-27
[19]姚森,李涛,刘鸿高,等.多光谱数据融合技术对绒柄牛肝菌产地的鉴别研究[J].食品科学,2018,39(8):212-217YAO Sen,LI Tao,LIU Hong-gao,et al.Geographic identification of Boletus tomentipes by multi-spectral information fusion[J].Food Science,2018,39(8):212-217
[20]Jarzyńska G,Falandysz J.Trace elements profile of Slate Bolete(Leccinum duriusculum)mushroom and associated upper soil horizon[J].Journal of Geochemical Exploration,2012,121:69-75
[21]JECFA.Evaluation of Certain Food Additives and Contaminants:Sixty-first Report of the Joint FAO/WHOExpert Committee on Food Additives[M]//WHO.WHOTechnical Report Series 922.Geneva.2004
[22]Krasińska G,Falandysz J.Mercury in Orange Birch Bolete Leccinum versipelle and soil substratum:bioconcentration by mushroom and probable dietary intake by consumers[J].Environmental Science and Pollution Research,2016,23(1):860-869
[23]Yao S,Li T,Li J Q,et al.Geographic identification of Boletus mushrooms by data fusion of FT-IR and UV spectroscopies combined with multivariate statistical analysis[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2018,198:257-263
[24]Li Y,Wang Y Z.Synergistic strategy for the geographical traceability of wild Boletus tomentipes by means of data fusion analysis[J].Microchemical Journal,2018,140:38-46
[25]杨天伟,张霁,史云东,等.红外光谱结合多元统计分析快速鉴别不同种类牛肝菌[J].食品科学,2015,36(24):116-121YANG Tian-wei,ZHANG Ji,SHI Yun-dong,et al.Infrared spectroscopy combined with multivariate statistical analysis to quickly identify different species of bolete mushrooms[J].Food Science,2015,36(24):116-121
[26]Gromski P S,Muhamadali H,Ellis D I,et al.A tutorial review:metabolomics and partial least squares-discriminant analysis-a marriage of convenience or a shotgun wedding[J].Analytica Chimica Acta,2015,879:10-23
[27]Yao S,Li T,Liu H G,et al.Traceability of Boletaceae mushrooms using data fusion of UV-visible and FT-IRcombined with chemometrics methods[J].Journal of the Science of Food and Agriculture,2018,98(6):2215-2222
[28]Barbosa R M,De Paula E S,Paulelli A C,et al.Recognition of organic rice samples based on trace elements and support vector machines[J].Journal of Food Composition and Analysis,2016,45:95-100
[29]Yao S,Li J Q,Li T,et al.Discrimination of Boletaceae mushrooms based on data fusion of FT-IR and ICP-AEScombined with SVM[J].International Journal of Food Properties,2018,21(1):255-266
[2]Rathore H,Prasad S,Sharma S.Mushroom nutraceuticals for improved nutrition and better human health:A review[J].Pharma Nutrition,2017,5(2):35-46
[3]Kala?P.A review of chemical composition and nutritional value of wild-growing and cultivated mushrooms[J].Journal of the Science of Food and Agriculture,2013,93(2):209-218
[4]Abbaspour N,Hurrell R,Kelishadi R.Review on iron and its importance for human health[J].Journal of Research in Medical Sciences,2014,19(2):164-174
[5]Dimitrijevic M V,Mitic V D,Cvetkovic J S,et al.Update on element content profiles in eleven wild edible mushrooms from family Boletaceae[J].European Food Research and Technology,2016,242(1):1-10
[6]Fraga C G.Relevance,essentiality and toxicity of trace elements in human health[J].Molecular Aspects of Medicine,2005,26(4-5):235-244
[7]Liu B R,Huang Q,Cai H J,et al.Study of heavy metal concentrations in wild edible mushrooms in Yunnan Province,China[J].Food Chemistry,2015,188:294-300
[8]?iri?I,Humar M,Kasap A,et al.Heavy metal bioaccumulation by wild edible saprophytic and ectomycorrhizal mushrooms[J].Environmental Science and Pollution Research,2016,23(18):18239-18252
[9]Falandysz J,Zhang J,Wiejak A,et al.Metallic elements and metalloids in Boletusluridus,B.magnificus and B.tomentipes mushrooms from polymetallic soils from SW China[J].Ecotoxicology and Environmental Safety,2017,142:497-502
[10]Brzezicha-Cirocka J,M?dyk M,Falandysz J,et al.Bio-and toxic elements in edible wild mushrooms from two regions of potentially different environmental conditions in eastern Poland[J].Environmental Science and Pollution Research,2016,23(21):21517-21522
[11]Brzostowski A,Jarzyńska G,Kojta A K,et al.Variations in metal levels accumulated in Poison Pax(Paxillus involutus)mushroom collected at one site over four years[J].Journal of Environmental Science and Health Part A,2011,46(6):581-588
[12]吴素蕊,罗晓莉,刘蓓,等.野生食用菌研究开发浅析及建议[J].食品科技,2010,35(4):100-103WU Su-rui,LUO Xiao-li,LIU Bei,et al.Analyse and advise to research and development of wild edible fungi[J].Food Science and Technology,2010,35(4):100-103
[13]Casale M,Bagnasco L,Zotti M,et al.A NIRspectroscopy-based efficient approach to detect fraudulent additions within mixtures of dried porcini mushrooms[J].Talanta,2016,160:729-734
[14]Zhang D,Zhang Y,Morawska E,et al.Trace elements in Leccinum scabrum mushrooms and topsoils from K?odzka Dale in sudety mountains,Poland[J].Journal of Mountain Science,2013,10(4):621-627
[15]Epova E N,Bérail S,Zuliani T,et al.(87)Sr/(86)Sr isotope ratio and multielemental signatures as indicators of origin of European cured hams:The role of salt[J].Food Chemistry,2018,246:313-322
[16]Choong Y K,Lan J,Lee H L,et al.Differential identification of mushrooms sclerotia by IR macro-fingerprint method[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2016,152:34-42
[17]Khaleghi B,Khamis A,Karray F O,et al.Multisensor data fusion:A review of the state-of-the-art[J].Information Fusion,2013,14(1):28-44
[18]Li Y,Zhang J,Li T,et al.Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AEScoupled with data mining methods(SVM)[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2017,177:20-27
[19]姚森,李涛,刘鸿高,等.多光谱数据融合技术对绒柄牛肝菌产地的鉴别研究[J].食品科学,2018,39(8):212-217YAO Sen,LI Tao,LIU Hong-gao,et al.Geographic identification of Boletus tomentipes by multi-spectral information fusion[J].Food Science,2018,39(8):212-217
[20]Jarzyńska G,Falandysz J.Trace elements profile of Slate Bolete(Leccinum duriusculum)mushroom and associated upper soil horizon[J].Journal of Geochemical Exploration,2012,121:69-75
[21]JECFA.Evaluation of Certain Food Additives and Contaminants:Sixty-first Report of the Joint FAO/WHOExpert Committee on Food Additives[M]//WHO.WHOTechnical Report Series 922.Geneva.2004
[22]Krasińska G,Falandysz J.Mercury in Orange Birch Bolete Leccinum versipelle and soil substratum:bioconcentration by mushroom and probable dietary intake by consumers[J].Environmental Science and Pollution Research,2016,23(1):860-869
[23]Yao S,Li T,Li J Q,et al.Geographic identification of Boletus mushrooms by data fusion of FT-IR and UV spectroscopies combined with multivariate statistical analysis[J].Spectrochimica Acta Part A,Molecular and Biomolecular Spectroscopy,2018,198:257-263
[24]Li Y,Wang Y Z.Synergistic strategy for the geographical traceability of wild Boletus tomentipes by means of data fusion analysis[J].Microchemical Journal,2018,140:38-46
[25]杨天伟,张霁,史云东,等.红外光谱结合多元统计分析快速鉴别不同种类牛肝菌[J].食品科学,2015,36(24):116-121YANG Tian-wei,ZHANG Ji,SHI Yun-dong,et al.Infrared spectroscopy combined with multivariate statistical analysis to quickly identify different species of bolete mushrooms[J].Food Science,2015,36(24):116-121
[26]Gromski P S,Muhamadali H,Ellis D I,et al.A tutorial review:metabolomics and partial least squares-discriminant analysis-a marriage of convenience or a shotgun wedding[J].Analytica Chimica Acta,2015,879:10-23
[27]Yao S,Li T,Liu H G,et al.Traceability of Boletaceae mushrooms using data fusion of UV-visible and FT-IRcombined with chemometrics methods[J].Journal of the Science of Food and Agriculture,2018,98(6):2215-2222
[28]Barbosa R M,De Paula E S,Paulelli A C,et al.Recognition of organic rice samples based on trace elements and support vector machines[J].Journal of Food Composition and Analysis,2016,45:95-100
[29]Yao S,Li J Q,Li T,et al.Discrimination of Boletaceae mushrooms based on data fusion of FT-IR and ICP-AEScombined with SVM[J].International Journal of Food Properties,2018,21(1):255-266
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