Predicting Mandarin Fruit Acceptability: From High-Field to Benchtop NMR Spectroscopy

Abstract

Recent advances in nuclear magnetic resonance (NMR) have led to the development of low-field benchtop NMR systems with improved sensitivity and resolution suitable for use in research and quality-control laboratories. Compared to their high-resolution counterparts, their lower purchase and running costs make them a good alternative for routine use. In this article, we show the adaptation of a method for predicting the consumer acceptability of mandarins, originally reported using a high-field 400 MHz NMR spectrometer, to benchtop 60 MHz NMR systems. Our findings reveal that both instruments yield comparable results regarding sugar and citric acid levels, leading to the development of virtually identical predictive linear models. However, the lower cost of benchtop NMR systems would allow cultivators to implement this chemometric-based method as an additional tool for the selection of new cultivars.

Lipidomic analysis and classification of Iberian dry‐cured hams with low field NMR

“…When combined with chemometric techniques, low field NMR spectroscopy provides useful information on the composition of different foods and a tool for their classification. For instance, this method has been utilized to analyze wine and other fermented beverages (Matviychuk et al., 2021), to determine oil authenticity and adulteration (Gunning et al., 2020; McDowell et al., 2019), to asses fruit acceptability (Migues et al., 2022), and to identify the species of origin of meat products (Jakes et al., 2015). However, this methodology has never been used to analyze the lipid profile of dry‐cured pork products.…”

Bibliometrics and Visual Analysis of Non-Destructive Testing Technology for Fruit Quality

“…Since non-destructive testing technology is simple, fast, highly efficient, and non-destructive, it has been extensively applied to fruit quality testing [4]. Common non-destructive testing methods for fruit quality include optical property detection [5][6][7], the machine vision test [8,9], magnetic resonance imaging (MRI) [10,11], the acoustic feature test [12,13], the mechanical property test [14,15], the dielectric property test [16,17], the e-nose test [18,19], and so on. Examining the research status and leading hotspots in the field of non-destructive testing technology can provide a reference for the future development of non-destructive testing methods for fruit quality.…”

Fast Nondestructive Detection Technology and Equipment for Food Quality and Safety

“…The effectiveness of Vis/NIR spectroscopy in food quality analysis was further proved by Wang et al [8], where Vis/NIR spectroscopy was successfully employed to predict the anthocyanin content in purple Chinese cabbage with high accuracy. On the other hand, Migues et al [9] developed a method for predicting the acceptability of Mandarin fruit based on the sugar and citric acid levels extracted from the NMR spectroscopic data. The study proved that the chemometric-based models facilitate data-driven decisions to optimize food quality, ensuring that the product meets consumer demands and regulatory standards.…”