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

Overview

Journal Foods

Specialty Biotechnology

Date 2022 Aug 26

PMID 36010384

Authors

Ignacio Migues

Fernando Rivas

Guillermo Moyna

Simon D Kelly

Horacio Heinzen

Affiliations

Soon will be listed here.

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.

Citing Articles

Fast Nondestructive Detection Technology and Equipment for Food Quality and Safety.

Guo Z, Jayan H Foods. 2023; 12(20).

PMID: 37893637 PMC: 10606285. DOI: 10.3390/foods12203744.

References

Assemat G, Balayssac S, Gerdova A, Gilard V, Caillet C, Williamson D . Benchtop low-field H Nuclear Magnetic Resonance for detecting falsified medicines. Talanta. 2019; 196:163-173. DOI: 10.1016/j.talanta.2018.12.005. View

Schiffman S, Booth B, Losee M, Pecore S, Warwick Z . Bitterness of sweeteners as a function of concentration. Brain Res Bull. 1995; 36(5):505-13. DOI: 10.1016/0361-9230(94)00225-p. View

Pavagadhi S, Swarup S . Metabolomics for Evaluating Flavor-Associated Metabolites in Plant-Based Products. Metabolites. 2020; 10(5). PMC: 7281650. DOI: 10.3390/metabo10050197. View

Lee Y, Matviychuk Y, Holland D . Quantitative analysis using external standards with a benchtop NMR spectrometer. J Magn Reson. 2020; 320:106826. DOI: 10.1016/j.jmr.2020.106826. View

Keizers P, Bakker F, Ferreira J, Wackers P, van Kollenburg D, van der Aa E . Benchtop NMR spectroscopy in the analysis of substandard and falsified medicines as well as illegal drugs. J Pharm Biomed Anal. 2019; 178:112939. DOI: 10.1016/j.jpba.2019.112939. View

Blumich B . Low-field and benchtop NMR. J Magn Reson. 2019; 306:27-35. DOI: 10.1016/j.jmr.2019.07.030. View

Defernez M, Wren E, Watson A, Gunning Y, Colquhoun I, Le Gall G . Low-field (1)H NMR spectroscopy for distinguishing between arabica and robusta ground roast coffees. Food Chem. 2016; 216:106-13. PMC: 5055110. DOI: 10.1016/j.foodchem.2016.08.028. View

Kunjir S, Rodriguez-Zubiri M, Coeffard V, Felpin F, Giraudeau P, Farjon J . Merging Gradient-Based Methods to Improve Benchtop NMR Spectroscopy: A New Tool for Flow Reaction Optimization. Chemphyschem. 2020; 21(20):2311-2319. DOI: 10.1002/cphc.202000573. View

Hatzakis E . Nuclear Magnetic Resonance (NMR) Spectroscopy in Food Science: A Comprehensive Review. Compr Rev Food Sci Food Saf. 2020; 18(1):189-220. DOI: 10.1111/1541-4337.12408. View

10.

Matviychuk Y, Yeo J, Holland D . A field-invariant method for quantitative analysis with benchtop NMR. J Magn Reson. 2018; 298:35-47. DOI: 10.1016/j.jmr.2018.11.010. View

11.

van Beek T . Low-field benchtop NMR spectroscopy: status and prospects in natural product analysis. Phytochem Anal. 2020; 32(1):24-37. DOI: 10.1002/pca.2921. View

12.

Muroya S, Ueda S, Komatsu T, Miyakawa T, Ertbjerg P . MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals. Metabolites. 2020; 10(5). PMC: 7281660. DOI: 10.3390/metabo10050188. View

13.

Sobolev A, Mannina L, Proietti N, Carradori S, Daglia M, Giusti A . Untargeted NMR-based methodology in the study of fruit metabolites. Molecules. 2015; 20(3):4088-108. PMC: 6272596. DOI: 10.3390/molecules20034088. View

14.

Gunning Y, Taous F, El Ghali T, Gibbon J, Wilson E, Brignall R . Mitigating instrument effects in 60 MHz H NMR spectroscopy for authenticity screening of edible oils. Food Chem. 2021; 370:131333. DOI: 10.1016/j.foodchem.2021.131333. View

15.

Araneda J, Chu T, Leclerc M, Riegel S, Spingarn N . Quantitative analysis of cannabinoids using benchtop NMR instruments. Anal Methods. 2020; 12(40):4853-4857. DOI: 10.1039/d0ay01511c. View

16.

Gunning Y, Jackson A, Colmer J, Taous F, Philo M, Brignall R . High-throughput screening of argan oil composition and authenticity using benchtop H NMR. Magn Reson Chem. 2020; 58(12):1177-1186. PMC: 8653893. DOI: 10.1002/mrc.5023. View

17.

Castaing-Cordier T, Ladroue V, Besacier F, Bulete A, Jacquemin D, Giraudeau P . High-field and benchtop NMR spectroscopy for the characterization of new psychoactive substances. Forensic Sci Int. 2021; 321:110718. DOI: 10.1016/j.forsciint.2021.110718. View