Application of Multispectral Imaging Combined with Machine Learning for Rapid and Non-Destructive Detection of Zearalenone (Zen) in Maize
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W. Liu | Changhong Liu | Lei Zheng | Yule Shi | Haiyang Deng
[1] Maofang Gao,et al. Winter wheat chlorophyll content retrieval based on machine learning using in situ hyperspectral data , 2022, Comput. Electron. Agric..
[2] Ce Yang,et al. Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening. , 2020, Food chemistry.
[3] X. Ni,et al. Classifying maize kernels naturally infected by fungi using near-infrared hyperspectral imaging , 2020 .
[4] Anne-Katrin Mahlein,et al. Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging , 2019, Toxins.
[5] R. Krska,et al. Worldwide contamination of food-crops with mycotoxins: Validity of the widely cited ‘FAO estimate’ of 25% , 2019, Critical reviews in food science and nutrition.
[6] Yunhong Liu,et al. Identification of mildew degrees in honeysuckle using hyperspectral imaging combined with variable selection , 2019, Journal of Food Measurement and Characterization.
[7] Quansheng Chen,et al. Quantitative assessment of zearalenone in maize using multivariate algorithms coupled to Raman spectroscopy. , 2019, Food chemistry.
[8] Xuesong Jiang,et al. On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy , 2019, LWT.
[9] Yanjie Dong,et al. Fast determination of 14 mycotoxins in chestnut by dispersive solid-phase extraction coupled with ultra-performance liquid chromatography-tandem mass spectrometry. , 2019, Journal of separation science.
[10] B. Buszewski,et al. Zearalenone and its metabolites: Effect on human health, metabolism and neutralisation methods. , 2019, Toxicon : official journal of the International Society on Toxinology.
[11] Étienne Belin,et al. Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview , 2019, Sensors.
[12] Min Zhao,et al. An electrochemical aptasensor for highly sensitive detection of zearalenone based on PEI-MoS2-MWCNTs nanocomposite for signal enhancement. , 2019, Analytica chimica acta.
[13] Ki-Hyun Kim,et al. Progress on nanostructured electrochemical sensors and their recognition elements for detection of mycotoxins: A review. , 2018, Biosensors & bioelectronics.
[14] S. Saeger,et al. A competitive immunoassay for zearalenone with integrated poly(dimethysiloxane) based microarray assay , 2018 .
[15] Paul J. Williams,et al. Classification of white maize defects with multispectral imaging. , 2018, Food chemistry.
[16] Zhengyu Jin,et al. Highly sensitive fluorescence sensing of zearalenone using a novel aptasensor based on upconverting nanoparticles. , 2017, Food chemistry.
[17] Haiyang Jiang,et al. Fluorescence Polarization Immunoassay Based on a New Monoclonal Antibody for the Detection of the Zearalenone Class of Mycotoxins in Maize. , 2017, Journal of agricultural and food chemistry.
[18] F. Ma,et al. Online Variety Discrimination of Rice Seeds Using Multispectral Imaging and Chemometric Methods , 2016 .
[19] David C. Slaughter,et al. Detection of fungal infection in almond kernels using near-infrared reflectance spectroscopy , 2015 .
[20] Noel D.G. White,et al. Detection of different stages of fungal infection in stored canola using near-infrared hyperspectral imaging , 2015 .
[21] Wei Liu,et al. Feasibility in multispectral imaging for predicting the content of bioactive compounds in intact tomato fruit. , 2015, Food chemistry.
[22] Wei Chen,et al. Discrimination of Kernel Quality Characteristics for Sunflower Seeds Based on Multispectral Imaging Approach , 2015, Food Analytical Methods.
[23] Guichi Zhu,et al. Highly sensitive detection of zearalenone in feed samples using competitive surface-enhanced Raman scattering immunoassay. , 2014, Journal of agricultural and food chemistry.
[24] T. Chai,et al. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .
[25] S. Cunha,et al. Mycotoxins in cereals and related foodstuffs: A review on occurrence and recent methods of analysis , 2014 .
[26] Juan Pablo Peña-Rosas,et al. Global maize production, utilization, and consumption , 2014, Annals of the New York Academy of Sciences.
[27] Changhong Liu,et al. Application of Multispectral Imaging to Determine Quality Attributes and Ripeness Stage in Strawberry Fruit , 2014, PloS one.
[28] Renfu Lu,et al. Hyperspectral and multispectral imaging for evaluating food safety and quality , 2013 .
[29] Patrick Siarry,et al. A survey on optimization metaheuristics , 2013, Inf. Sci..
[30] S. Eremin,et al. Development of anti-zearalenone monoclonal antibody and detection of zearalenone in corn products from China by ELISA , 2013 .
[31] C. Juan,et al. Determination of trichothecenes and zearalenones in grain cereal, flour and bread by liquid chromatography tandem mass spectrometry. , 2012, Food chemistry.
[32] Tahir Mehmood,et al. A review of variable selection methods in Partial Least Squares Regression , 2012 .
[33] Cheng Peng,et al. Preparation of highly specific anti-zearalenone antibodies by using the cationic protein conjugate and development of an indirect competitive enzyme-linked immunosorbent assay. , 2012, The Analyst.
[34] P. Lucci,et al. Molecularly imprinted polymer solid-phase extraction for detection of zearalenone in cereal sample extracts. , 2010, Analytica chimica acta.
[35] Ernestina Casiraghi,et al. Evaluation of quality and nutraceutical content of blueberries (Vaccinium corymbosum L.) by near and mid-infrared spectroscopy , 2008 .
[36] R. Proctor,et al. Molecular biology of Fusarium mycotoxins. , 2007, International journal of food microbiology.
[37] R. Krska,et al. Rapid simultaneous determination of major type A- and B-trichothecenes as well as zearalenone in maize by high performance liquid chromatography-tandem mass spectrometry. , 2005, Journal of chromatography. A.
[38] Vladimir Vapnik,et al. Support-vector networks , 2004, Machine Learning.
[39] J. Bennett,et al. Mycotoxins , 2003, Clinical Microbiology Reviews.
[40] W. Shier,et al. Structure-activity relationships for human estrogenic activity in zearalenone mycotoxins. , 2001, Toxicon : official journal of the International Society on Toxinology.
[41] Christopher R. Houck,et al. A Genetic Algorithm for Function Optimization: A Matlab Implementation , 2001 .
[42] T. Du,et al. Using principal component analysis in process performance for multivariate data , 2000 .
[43] Colin MacBeth,et al. Effects of Learning Parameters on Learning Procedure and Performance of a BPNN , 1997, Neural Networks.
[44] R. Schudy,et al. Identification of Fourier transform infrared photoacoustic spectral features for detection of Aspergillus flavus infection in corn. , 1997, International journal of food microbiology.
[45] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .