Application of visible/near‐infrared reflectance spectroscopy for predicting internal and external quality in pepper

Toledo-Martín, Eva María; García‐García, María C.; Font, Rafael; Moreno-Rojas, José Manuel; Gómez, Pedro Sánchez; Salinas-Navarro, María; Río-Celestino, Mercedes Del

doi:10.1002/jsfa.7488

Cited by 32 publications

(30 citation statements)

References 42 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

Section: Resultssupporting

confidence: 84%

“…Finally, it should be noted that the predictive capacity of the models obtained for TA by means of static and dynamic analysis allows to distinguish between low and high values for this parameter. 15,19 Toledo-Martín et al 35 obtained models for TA in 14 types of pepper with a predictive capacity (RPD cv = 1.4) similar to ours. Flores et al 36 showed that the measurement of acidity-related parameters in intact fruits is notoriously difficult; nonetheless, the models developed for this parameter suggested that NIRS technology may be used for screening purposes.…”

Section: Prediction Of Color and Quality Parameters Using Mpls Regressupporting

confidence: 78%

“…In addition, the external validation results obtained for SSC (RPD p = 2.1) and TA (RPD p = 1.3) are higher than those obtained by Toledo-Martín et al 35 for SSC (RPD p = 1.8) and TA (RPD p = 0.9).…”

Section: Prediction Of Color and Quality Parameters Using Mpls Regrescontrasting

confidence: 69%

“…Toledo-Martín et al, 35 using a Phazir-1018 instrument based on MEMS technology with a 1000-1800 nm spectral range, obtained models for SSC in 14 types of pepper with a predictive capacity (RPD cv = 1.7) very similar to that obtained in this work, and Sánchez et al, 23 using bell peppers, obtained slightly lower values for SSC predictive capacity models (RPD cv = 1.65) than those obtained in this work, using the same MEMS instrument as for DMC.…”

Section: Prediction Of Color and Quality Parameters Using Mpls Regresmentioning

confidence: 99%

See 3 more Smart Citations

In situ ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor

et al. 2020

View full text Add to dashboard Cite

BACKGROUND Near‐infrared spectroscopy (NIRS) was used as a nondestructive sensor to assess the quality of freshly harvested Lamuyo peppers. One hundred and forty‐four Lamuyo peppers, which were in a range of colors (green, chocolate, orange, and red) when harvested, were analyzed. In this study, the evolution of the main quality parameters during the harvest period was analyzed. Additionally, NIRS predictive models using a portable manual spectrophotometer to evaluate quality parameters together with color index were developed. Moreover, two procedures for taking near‐infrared spectra were tested: (1) static, where point spectral readings were taken of around the equator of the fruit; (2) dynamic, where spectra were taken by scanning the entire length of the pepper. RESULTS Green peppers and those harvested at the beginning of the campaign presented significantly lower values (P < 0.05) of dry matter, soluble solid contents, and titratable acidity, whereas those with red coloration and those harvested at the end of the campaign showed significantly higher values of these three quality parameters (P < 0.05). The predictive capacity of the NIRS models showed that the static mode proved to be the most suitable for measuring the quality of Lamuyo peppers. CONCLUSIONS The viability of NIRS for measuring dry matter content and soluble solid contents in situ, using a new‐generation NIRS sensor, was demonstrated. However, the high water content, the irregular shape of the fruit, and the fact that it is hollow inside all point to the need for using larger samples sets so as to increase the robustness of the models obtained. © 2019 Society of Chemical Industry

show abstract

Section: Resultssupporting

confidence: 84%

Section: Prediction Of Color and Quality Parameters Using Mpls Regressupporting

confidence: 78%

Section: Prediction Of Color and Quality Parameters Using Mpls Regrescontrasting

confidence: 69%

Section: Prediction Of Color and Quality Parameters Using Mpls Regresmentioning

confidence: 99%

See 2 more Smart Citations

In situ ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In fact, there are very few articles that incorporate the use of this technology to measure quality parameters in pepper. Thus, Sánchez et al 9 assessed the viability of NIR spectroscopy to measure pesticide residues in intact, crused and dry extract system for infrared analysis (DESIR) peppers, whereas other authors or researchers [10][11][12][13] carried out the analysis of a number of quality parameters in different types of peppers.…”

Section: Introductionmentioning

confidence: 99%

Rapid, simultaneous, and in situ authentication and quality assessment of intact bell peppers using near‐infrared spectroscopy technology

et al. 2018

View full text Add to dashboard Cite

The results showed that NIR spectroscopy can be used successfully for predicting the growing systems used in bell pepper production, which is of particular value to guarantee the authentication of outdoor-grown peppers. Additionally, the results showed that NIR spectroscopy can be used simultaneously as a rapid preliminary screening technique to measure quality. © 2018 Society of Chemical Industry.

show abstract

Withdrawn: Spectral pattern study of citrus black rot caused by Alternaria alternata and selecting optimal wavelengths for decay detection

Ghooshkhaneh

Golzarian

Mamarabadi

2022

Food Science & Nutrition

View full text Add to dashboard Cite

Fungal decay is one of the most common diseases that affect postharvest operations and sales of citrus. Sometimes, fungal disease develops and spreads inside the fruit and in the advanced stages of the disease, it appears apparent, so the use of efficient and reliable methods for early detection of the disease is very important. In this study, early detection of citrus black rot disease caused by Alternaria genus fungus was examined using spectroscopy. Jaffa oranges were inoculated with Alternaria alternata. The samples were inspected by spectroscopy (200–1100 nm) in the 1st, 2nd, and 3rd weeks after inoculation. The classification of healthy and infected samples and selection of most important wavelengths were conducted by soft independent modeling of class analogy (SIMCA). The most important wavelengths in the detection of healthy and infected samples of the 1st week were 507, 933, 937, and 950 nm with a classification accuracy of 60%. The most important wavelengths of the 2nd week were 522 and 787 nm with a classification accuracy of 60%. Also, wavelengths of 546, 660, 691, and 839 were found to be effective in the 3rd week with a classification accuracy of 100%.

show abstract

Application of visible/near‐infrared reflectance spectroscopy for predicting internal and external quality in pepper

Cited by 32 publications

References 42 publications

In situ ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor

In situ ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor

Rapid, simultaneous, and in situ authentication and quality assessment of intact bell peppers using near‐infrared spectroscopy technology

Withdrawn: Spectral pattern study of citrus black rot caused by Alternaria alternata and selecting optimal wavelengths for decay detection

Contact Info

Product

Resources

About