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Sacchi, Raffaele, Paduano, Antonello, Caporaso, Nicola, Picariello, Gianluca, Romano, Raffaele and Addeo, Francesco (2018) Assessment of milk fat content in fat blends by 13 C NMR spectroscopy analysis of butyrate. Food Control, 91 . pp. 231-236. ISSN 0956-7135

Caporaso, Nicola, Whitworth, Martin B., Fowler, Mark S. and Fisk, Ian D. (2018) Hyperspectral imaging for non-destructive prediction of fermentation index, polyphenol content and antioxidant activity in single cocoa beans. Food Chemistry, 258 . pp. 343-351. ISSN 0308-8146

Caporaso, Nicola, Whitworth, Martin B., Cui, Chenhao and Fisk, Ian D. (2018) Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS. Food Research International, 108 . pp. 628-640. ISSN 1873-7145

Caporaso, Nicola, Whitworth, Martin B., Grebby, Stephen and Fisk, Ian D. (2018) Rapid prediction of single green coffee bean moisture and lipid content by hyperspectral imaging. Journal of Food Engineering, 228 . pp. 18-29. ISSN 0260-8774

Caporaso, Nicola, Whitworth, Martin B., Grebby, Stephen and Fisk, Ian D. (2018) Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging. Food Research International, 106 . pp. 193-203. ISSN 1873-7145

Caporaso, Nicola, Whitworth, Martin B. and Fisk, Ian D. (2018) Protein content prediction in single wheat kernels using hyperspectral imaging. Agroforestry Systems, 240 . pp. 32-42. ISSN 1572-9680

Caporaso, Nicola, Whitworth, Martin B. and Fisk, Ian D. (2018) Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains. Applied Spectroscopy Reviews, 53 (8). pp. 667-687. ISSN 1520-569X

Caporaso, Nicola, Whitworth, Martin B. and Fisk, Ian D. (2017) Application of calibrations to hyperspectral images of food grains: example for wheat falling number. Journal of Spectral Imaging, 6 (a4). pp. 1-15. ISSN 2040-4565

Thesis (University of Nottingham only)

Caporaso, Nicola (2018) NIR hyperspectral imaging for predicting the composition of granular food commodities. PhD thesis, University of Nottingham.