2021
DOI: 10.1016/j.foodcont.2020.107526
|View full text |Cite
|
Sign up to set email alerts
|

Viability of near infrared spectroscopy for a rapid analysis of the bioactive compounds in intact cocoa bean husk

Abstract: The potential of the cocoa bean husk (CBH) as a natural source of bioactive compounds is ever-increasing. In this work, its bioactive compounds and antioxidant activity were analyzed using near infrared spectroscopy in samples of CBH. Beans were harvested and fermented in a Mexican gene bank. Reference data on total sugars, total phenols, phenolic compounds, theobromine, and antioxidant activity were correlated with the intact husk and bean spectra. The Modified Partial Least Square regression method (MPLSR) w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 34 publications
1
3
0
Order By: Relevance
“…In blackberry fruit, the best model for total phenolics reported by Toledo-Martín et al [ 100 ] had a R 2 CV of 0.69 and RMSECV of 169 mg/100 g. Again, the cross-validation samples used in this study were randomly selected from the same population as the calibration samples; consequently, the model performance on an independent population would be lower again. Similar results in terms of model accuracy were found by Rodríguez-Pulido et al [ 110 ] in raspberries, Trapani et al [ 127 ] in olive paste and Hernández-Hernández et al [ 131 ] in cocoa bean, while quite poor cross-validation results were found by Nogales-Bueno et al [ 133 ] for the prediction of total phenolic content (TPC) in coffee bean using NIR hyperspectral imaging. As the mean TPC of the samples was 3.6% w / w , the poor performance appears more attributable to the reproducibility of sample presentation or the wavelength selection, rather than the concentration of the analyte.…”
Section: Scientific Effort (2016–2020)supporting
confidence: 79%
“…In blackberry fruit, the best model for total phenolics reported by Toledo-Martín et al [ 100 ] had a R 2 CV of 0.69 and RMSECV of 169 mg/100 g. Again, the cross-validation samples used in this study were randomly selected from the same population as the calibration samples; consequently, the model performance on an independent population would be lower again. Similar results in terms of model accuracy were found by Rodríguez-Pulido et al [ 110 ] in raspberries, Trapani et al [ 127 ] in olive paste and Hernández-Hernández et al [ 131 ] in cocoa bean, while quite poor cross-validation results were found by Nogales-Bueno et al [ 133 ] for the prediction of total phenolic content (TPC) in coffee bean using NIR hyperspectral imaging. As the mean TPC of the samples was 3.6% w / w , the poor performance appears more attributable to the reproducibility of sample presentation or the wavelength selection, rather than the concentration of the analyte.…”
Section: Scientific Effort (2016–2020)supporting
confidence: 79%
“…Near-infrared scanning of the sample can obtain the nearinfrared absorption intensity of the vibration and combination frequencies of each molecule, obtain the characteristic information of organic molecules, and analyze the composition of the sample (Claudia et al, 2021). Near infrared spectroscopy analysis technology is widely used in the field of rapid analysis because of its advantages of fast analysis, no chemical pollution to samples, high operability of detection de-vices, high accuracy of measurement and low cost of analysis (Hernández-Hernández et al, 2020). Taking wine analysis as an example, different light, water and soil conditions make the Comparison of accuracy of different models before and after Correction.…”
Section: Discussionmentioning
confidence: 99%
“…The failure to create a highly accurate and robust model for the prediction of TP content and antioxidant capacity is not unique to this study. Moderate to poor results for the prediction of TP content were reported in cocoa bean (Hernández-Hernández et al, 2021) and in blackberry fruit (Toledo-Martín et al, 2018).…”
Section: Discussionmentioning
confidence: 99%