Abstract
Near infrared (NIR) spectroscopy in the range of 600-1000nm was studied for its ability to predict the internal quality attributes, such as moisture content, hardness, soluble solid content (SSC), acidity and pH, of the 'Irwin' mango (Mangifera indica Linn.) following heat treatment. A total of 63 samples were used for calibration models and 124 samples collected from 62 heat-treated mangos were used for prediction models using partial least squares regression (PLS) and principal component regression (PCR) methods. The results showed that models using the PLS method were better than those using the PCR method. There was an influence of the preprocessing spectra on the prediction performance of the models in which the second derivative of Savitzky-Golay method [D2log(1/R)] resulted in the best calibration models. The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively. The average SSC value in the stem-end was significantly higher than that in the blossom-end. The heat-treated mango had significantly higher moisture content, hardness, SSC and acidity levels and had lower pH levels compared to the untreated mango, showing the marked improvement of the fruit quality following the heat treatment due to a reduction in the decline of quality attributes.
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Claims 10
Claim · model-written summary
PLS models predicted mango internal quality better than PCR models.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
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Verbatim
e0“models using the PLS method were better than those using the PCR method”
t0“Mango”
Claim · model-written summary
Second-derivative Savitzky–Golay preprocessing gave the best calibration models.
- Taxon
- mango
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Mangifera indicae0t0 - Outcome
- calibration modelse0
- Direction
- beste0
- Comparator
- preprocessing spectrae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“preprocessing spectra on the prediction performance of the models in which the second derivative of Savitzky-Golay method [D2log(1/R)] resulted in the best calibration models”
t0“Mango”
Claim · model-written summary
NIR predicted mango moisture content with correlation 0.94 and SEP 0.384.
- Taxon
- mangoMangifera indicae0t0
- Outcome
- moisture contente0
- Value
- 0.94 (0.384)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively”
t0“Mango”
Claim · model-written summary
NIR predicted mango hardness with correlation 0.87 and SEP 0.066.
- Taxon
- mangoMangifera indicae0t0
- Outcome
- hardnesse0
- Value
- 0.87 (0.066)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively”
t0“Mango”
Claim · model-written summary
NIR predicted mango SSC with correlation 0.94 and SEP 0.387.
- Taxon
- mangoMangifera indicae0t0
- Outcome
- SSCe0
- Value
- 0.94 (0.387)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively”
t0“Mango”
Claim · model-written summary
NIR predicted mango acidity with correlation 0.80 and SEP 0.053.
- Taxon
- mangoMangifera indicae0t0
- Outcome
- aciditye0
- Value
- 0.80 (0.053)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively”
t0“Mango”
Claim · model-written summary
NIR predicted mango pH with correlation 0.83 and SEP 0.141.
- Taxon
- mangoMangifera indicae0t0
- Outcome
- pHe0
- Value
- 0.83 (0.141)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The correlation coefficients and the SEPs for the prediction of the moisture content, hardness, SSC, acidity and pH of the heat treated mango were 0.94 (0.384), 0.87 (0.066), 0.94 (0.387), 0.80 (0.053) and 0.83 (0.141), respectively”
t0“Mango”
Claim · model-written summary
Stem-end mango SSC was significantly higher than blossom-end SSC.
- Taxon
- mangoMangifera indicae0t0
- Organ / stage
- stem-ende0
- Outcome
- SSC valuee0
- Direction
- highere0
- Comparator
- blossom-ende0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The average SSC value in the stem-end was significantly higher than that in the blossom-end”
t0“Mango”
Claim · model-written summary
Heat treatment significantly increased mango moisture content, hardness, SSC and acidity.
- Taxon
- mangoMangifera indicae0t0
- Treatment
- heat-treatede0
- Outcome
- moisture content, hardness, SSC and acidity levelse0
- Direction
- highere0
- Comparator
- untreated mangoe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The heat-treated mango had significantly higher moisture content, hardness, SSC and acidity levels and had lower pH levels compared to the untreated mango”
t0“Mango”
Claim · model-written summary
Heat treatment significantly lowered mango pH.
- Taxon
- mangoMangifera indicae0t0
- Treatment
- heat-treatede0
- Outcome
- pH levelse0
- Direction
- lowere0
- Comparator
- untreated mangoe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The heat-treated mango had significantly higher moisture content, hardness, SSC and acidity levels and had lower pH levels compared to the untreated mango”
t0“Mango”
The same questions in other papers
heat · molecular: metabolites · Mangifera indica (mango)Results differ
4 papers in the same direction as this paper · 3 in the opposite direction
- no effect
- negative
- no effect
4 papers more in this group
See all 8 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.