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Prediction of HVO content in HVO/diesel blends using FTIR and chemometric methods Vrtiska D, Simacek P Fuel, 174, 225, 2016 |
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Bacterial communities and volatile compounds in Doubanjiang, a Chinese traditional red pepper paste Li Z, Dong L, Huang Q, Wang X Journal of Applied Microbiology, 120(6), 1585, 2016 |
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Random sample consensus combined with partial least squares regression (RANSAC-PLS) for microbial metabolomics data mining and phenotype improvement Teoh ST, Kitamura M, Nakayama Y, Putri S, Mukai Y, Fukusaki E Journal of Bioscience and Bioengineering, 122(2), 168, 2016 |
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Three dimensional chemometric analyses of hyperspectral images for beef tenderness forecasting Naganathan GK, Cluff K, Samal A, Calkins CR, Jones DD, Meyer GE, Subbiah J Journal of Food Engineering, 169, 309, 2016 |
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Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning Kamruzzaman M, Makino Y, Oshita S Journal of Food Engineering, 170, 8, 2016 |
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Determination of total acid content and moisture content during solid-state fermentation processes using hyperspectral imaging Zhu YD, Zou XB, Shen TT, Shi JY, Zhao JW, Holmes M, Li GQ Journal of Food Engineering, 174, 75, 2016 |
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Multipoint NIR spectrometry and collimated light for predicting the composition of meat samples with high standoff distances Dixit Y, Casado-Gavalda MP, Cama-Moncunill R, Cama-Moncunill X, Jacoby F, Cullen PJ, Sullivan C Journal of Food Engineering, 175, 58, 2016 |
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Dielectric spectroscopy for evaluating dry matter content of potato tubers Nielsen GGB, Kjaer A, Klosgen B, Hansen PL, Simonsen AC, Jorgensen B Journal of Food Engineering, 189, 9, 2016 |