scholarly journals Infrared Spectroscopy for the Quality Assessment of Habanero Chilli: A Proof-of-Concept Study

2021 ◽  
Vol 8 (1) ◽  
pp. 19
Author(s):  
Joel B. Johnson ◽  
Janice S. Mani ◽  
Mani Naiker

Habanero chillies (Capsicum chinense cv Habanero) are a popular species of hot chilli in Australia, with their production steadily increasing. However, there is limited research on this crop due to its relatively low levels of production at present. Rapid methods of assessing fruit quality could be greatly beneficial both for quality assurance purposes and for use in breeding programs or experimental growing trials. Consequently, this work investigated the use of infrared spectroscopy for predicting dry matter content, total phenolic content and capsaicin/dihydrocapsaicin content in 20 Australian Habanero chilli samples. Near-infrared spectra (908–1676 nm) taken from the fresh fruit showed strong potential for the estimation of dry matter content, with an R2cv of 0.65 and standard error of cross-validation (SECV) of 0.50%. A moving-window partial least squares regression model was applied to optimise the spectral window used for dry matter content prediction, with the best-performing window being between 1224 and 1422 nm. However, the near-infrared spectra could not be used to estimate the total phenolic content or capsaicin/dihydrocapsaicin content of the samples. Mid-infrared spectra (4000–400 cm−1) collected from the dried, powdered material showed slightly more promise for the prediction of total phenolics and the ratio of capsaicin-to-dihydrocapsaicin, with an R2cv of 0.45 and SECV of 0.32 for the latter. The results suggest that infrared spectroscopy may be able to determine dry matter content in Habanero chilli with acceptable accuracy, but not the capsaicinoid or total phenolic content.

2006 ◽  
Vol 125 (6) ◽  
pp. 591-595 ◽  
Author(s):  
J. M. Montes ◽  
H. F. Utz ◽  
W. Schipprack ◽  
B. Kusterer ◽  
J. Muminovic ◽  
...  

Molecules ◽  
2017 ◽  
Vol 22 (5) ◽  
pp. 851 ◽  
Author(s):  
Eva Toledo-Martín ◽  
Rafael Font ◽  
Sara Obregón-Cano ◽  
Antonio De Haro-Bailón ◽  
Myriam Villatoro-Pulido ◽  
...  

Talanta ◽  
2015 ◽  
Vol 143 ◽  
pp. 138-144 ◽  
Author(s):  
Trygve Helgerud ◽  
Jens P. Wold ◽  
Morten B. Pedersen ◽  
Kristian H. Liland ◽  
Simon Ballance ◽  
...  

2002 ◽  
Vol 50 (18) ◽  
pp. 5082-5088 ◽  
Author(s):  
Cees van Dijk ◽  
Monica Fischer ◽  
Jörgen Holm ◽  
Jan-Gerard Beekhuizen ◽  
Trinette Stolle-Smits ◽  
...  

2017 ◽  
pp. 3-12
Author(s):  
Audrey Pissard ◽  
Vincent Baeten ◽  
Pierre Dardenne ◽  
Pascal Dupont ◽  
Marc Lateur

Description of the subject. The article deals with the use of near-infrared spectroscopy (NIR) on fresh apples to determine the phenolic compounds and dry matter content in peel and flesh powders. Objectives. The aim is the rapid and non-destructive determination of these nutritional parameters. Method. Two hundred twenty-nine fruits from 20 varieties were analyzed with NIR spectroscopy and reference methods. Results. Great variability of total phenolic compounds (TPC) in peel and flesh powders was observed among varieties. The dry matter (DM) content also differed greatly between peel and flesh. Calibration and validation models showed high coefficients of determination for the TPC content, which were slightly higher for the peel than for the flesh (R² val = 0.91 and 0.84 respectively). For the DM content, high coefficients of determination and ratios of prediction to deviation (RPDs) were also observed (R² val = 0.94, RPD = 4.8 and R² val = 0.94, RPD = 4.9 for the peel and flesh respectively). Conclusions. Calibration and validation models allow quantitative predictions to be made for TPC and DM content. They confirm the potential of NIRS for predicting the polyphenol content and highlight its potential for determining the DM content, a parameter often neglected in research into apple quality.


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