In situ ripening stages monitoring of Lamuyo pepper using a new‐generation near‐infrared spectroscopy sensor. (17th January 2020)

• Record Type: Journal Article
• Authors: Sánchez, María‐Teresa; Pintado, Carlos; de la Haba, María‐José; Torres, Irina; García, Manuel; Pérez‐Marín, Dolores
• Is Part Of: Journal of the science of food and agriculture. Volume 100:Number 5(2020)
• Page Start: 1931
• Page End: 1939
• Publication Date: 2020-01-17
• Subjects: Lamuyo pepper -- new‐generation NIRS sensor -- in situ determination -- quality parameters; Food -- Periodicals; Agriculture -- Periodicals; 664
• DOI: 10.1002/jsfa.10205
• Languages: English
• ISSNs: 0022-5142

Abstract

Abstract: 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