A rapid and non-invasive method for the classification of natural tannin extracts by near-infrared spectroscopy and PLS-DA

F. S. Grasel and M. F. Ferrão

Anal. Methods, 2016, 8, 644
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Quantitative analysis of yeast growth process based on FT-NIR spectroscopy integrated with Gaussian mixture regression

Wei Wang, Hui Jiang, Guohai Liu, Quansheng Chen, Congli Mei, Kangji Li and Yonghong Huang

RSC Adv., 2017, 7, 24988
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Quantitative analysis of soil nutrition based on FT-NIR spectroscopy integrated with BP neural deep learning

Huazhou Chen, Zhenyao Liu, Jie Gu, Wu Ai, Jiangbei Wen and Ken Cai

Anal. Methods, 2018, 10, 5004
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An additional data fusion strategy for the discrimination of porcini mushrooms from different species and origins in combination with four mathematical algorithms

LuMing Qi, JieQing Li, HongGao Liu, Tao Li and YuanZhong Wang

Food Funct., 2018, 9, 5903
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Quantitative analysis of the water of crystallization of gypsum by near-infrared spectroscopy in Yungang Grottoes

Yang Zhao, Meiying Li, Xia Wei, Xinyu Shen, Feng Gao and Hua Tong

Anal. Methods, 2015, 7, 8271
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Multicriteria wavenumber selection in cocaine classification

M.J. Anzanello, A. Kahmann, M.C.A. Marcelo, K.C. Mariotti, M.F. Ferrão and R.S. Ortiz

Journal of Pharmaceutical and Biomedical Analysis, 2015, 115, 562
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Surface-Enhanced Raman Scattering (SERS) Taster: A Machine-Learning-Driven Multireceptor Platform for Multiplex Profiling of Wine Flavors

Yong Xiang Leong, Yih Hong Lee, Charlynn Sher Lin Koh, Gia Chuong Phan-Quang, Xuemei Han, In Yee Phang and Xing Yi Ling

Nano Lett., 2021, 21, 2642
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Development of a preliminary sensory lexicon for mate tea

Rossana Catie Bueno de Godoy, Edgar Chambers and Gongshun Yang

Journal of Sensory Studies, 2020, 35
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Characterization of Biodiesel from Animal Fat, Vegetable Oil, and Adulterants by Infrared Spectroscopy Combined with Chemometric Methods

J. M. Da Costa, C. Correa, C. F. Chiella Ruschel, J. Casagranda, M. C. A. Marcelo, D. Pompéu de Moraes, F. M. Bento, M. F. Ferrão and V. Antonio Corbellini

Energy Fuels, 2021, 35, 13801
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Near infrared spectroscopy and element concentration analysis for assessing yerba mate (Ilex paraguariensis) samples according to the country of origin

Alessandro Kahmann, Michel J. Anzanello, Marcelo Caetano Alexandre Marcelo and Dirce Pozebon

Computers and Electronics in Agriculture, 2017, 140, 348
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Exploratory Analysis Applied for the Evaluation of Yerba Mate Adulteration (Ilex paraguariensis)

Manuella Schneider, Rosana C. S. Schneider, Valeriano A. Corbellini, Cláudia M. Mahlmann, Claudimar Sidnei Fior and Marco Flôres Ferrão

Food Anal. Methods, 2018, 11, 2035
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Authentication of yerba mate according to the country of origin by using Fourier transform infrared (FTIR) associated with chemometrics

Marcelo C.A. Marcelo, Dirce Pozebon and Marco F. Ferrão

Food Additives & Contaminants: Part A, 2015, 32, 1215
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Simultaneous determination of quality parameters in yerba mate (Ilex paraguariensis) samples by application of near-infrared (NIR) spectroscopy and partial least squares (PLS)

Gianina B. Rossi and Valeria A. Lozano

LWT, 2020, 126, 109290
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The application of spectroscopic techniques in combination with chemometrics for detection adulteration of some herbs and spices

Kamila Kucharska-Ambrożej and Joanna Karpinska

Microchemical Journal, 2020, 153, 104278
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Authentication of Dendrobium Species Using Near-Infrared and Ultraviolet–Visible Spectroscopy with Chemometrics and Data Fusion

Ye Wang, Zhi-Tian Zuo, Tao Shen, Heng-Yu Huang and Yuan-Zhong Wang

Analytical Letters, 2018, 51, 2792
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Wavelength selection framework for classifying food and pharmaceutical samples into multiple classes

M. Anzanello, F. Fogliatto, M. C. A. Marcelo, D. Pozebon and M. F. Ferrão

Journal of Chemometrics, 2016, 30, 346
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Characterization of Gentiana rigescens by Ultraviolet–Visible and Infrared Spectroscopies with Chemometrics

LuMing Qi, Ji Zhang, YanLi Zhao, ZhiTian Zuo, Yuan-Zhong Wang and Hang Jin

Analytical Letters, 2017, 50, 1497
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A genetic algorithm‐based framework for wavelength selection on sample categorization

Michel J. Anzanello, Gabrielli Yamashita, Marcelo Marcelo, Flávio S. Fogliatto, Rafael S. Ortiz, Kristiane Mariotti and Marco F. Ferrão

Drug Testing and Analysis, 2017, 9, 1172
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Fluorescence spectroscopy application for Argentinean yerba mate (Ilex paraguariensis) classification assessing first- and second-order data structure properties

M.C.D. Santos, S.M. Azcarate, K.M.G. Lima and H.C. Goicoechea

Microchemical Journal, 2020, 155, 104783
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Development of methodology for identification the nature of the polyphenolic extracts by FTIR associated with multivariate analysis

Fábio dos Santos Grasel, Marco Flôres Ferrão and Carlos Rodolfo Wolf

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2016, 153, 94
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Element selection and concentration analysis for classifying South America wine samples according to the country of origin

Felipe Soares, Michel J. Anzanello, Flavio S. Fogliatto, Marcelo C.A. Marcelo, Marco F. Ferrão, Vitor Manfroi and Dirce Pozebon

Computers and Electronics in Agriculture, 2018, 150, 33
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Deep learning for geographical discrimination of Panax notoginseng with directly near-infrared spectra image

Jian-E Dong, Ye Wang, Zhi-Tian Zuo and Yuan-Zhong Wang

Chemometrics and Intelligent Laboratory Systems, 2020, 197, 103913
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