TY - JOUR
T1 - A Narrative Review of Recent Advances in Rapid Assessment of Anthocyanins in Agricultural and Food Products
AU - Manzoor, Muhammad Faisal
AU - Hussain, Abid
AU - Naumovski, Nenad
AU - Ranjha, Muhammad Modassar Ali Nawaz
AU - Ahmad, Nazir
AU - Karrar, Emad
AU - Xu, Bin
AU - Ibrahim, Salam A
N1 - Copyright © 2022 Manzoor, Hussain, Naumovski, Ranjha, Ahmad, Karrar, Xu and Ibrahim.
Funding Information:
This research was funded in part by Grants (project numbers NC.X337-5-21-170-1 and NC.X341-5-21-170-1) from the National Institute of Food and Agriculture (NIFA) and Jiangsu Postdoctoral Fund (2020Z084).
Funding Information:
The authors would like to thank the support of the Jiangsu Postdoctoral Fund (2020Z084) and the support of the Agricultural Research Station at North Carolina Agricultural and Technical State University (Greensboro, NC 27411, USA). The authors thank Mrs. Amanda Bulman for her help in proofreading the final manuscript for the English language.
Publisher Copyright:
Copyright © 2022 Manzoor, Hussain, Naumovski, Ranjha, Ahmad, Karrar, Xu and Ibrahim.
PY - 2022/7/19
Y1 - 2022/7/19
N2 - Anthocyanins (ACNs) are plant polyphenols that have received increased attention recently mainly due to their potential health benefits and applications as functional food ingredients. This has also created an interest in the development and validation of several non-destructive techniques of ACN assessments in several food samples. Non-destructive and conventional techniques play an important role in the assessment of ACNs in agricultural and food products. Although conventional methods appear to be more accurate and specific in their analysis, they are also associated with higher costs, the destruction of samples, time-consuming, and require specialized laboratory equipment. In this review article, we present the latest findings relating to the use of several spectroscopic techniques (fluorescence, Raman, Nuclear magnetic resonance spectroscopy, Fourier-transform infrared spectroscopy, and near-infrared spectroscopy), hyperspectral imaging, chemometric-based machine learning, and artificial intelligence applications for assessing the ACN content in agricultural and food products. Furthermore, we also propose technical and future advancements of the established techniques with the need for further developments and technique amalgamations.
AB - Anthocyanins (ACNs) are plant polyphenols that have received increased attention recently mainly due to their potential health benefits and applications as functional food ingredients. This has also created an interest in the development and validation of several non-destructive techniques of ACN assessments in several food samples. Non-destructive and conventional techniques play an important role in the assessment of ACNs in agricultural and food products. Although conventional methods appear to be more accurate and specific in their analysis, they are also associated with higher costs, the destruction of samples, time-consuming, and require specialized laboratory equipment. In this review article, we present the latest findings relating to the use of several spectroscopic techniques (fluorescence, Raman, Nuclear magnetic resonance spectroscopy, Fourier-transform infrared spectroscopy, and near-infrared spectroscopy), hyperspectral imaging, chemometric-based machine learning, and artificial intelligence applications for assessing the ACN content in agricultural and food products. Furthermore, we also propose technical and future advancements of the established techniques with the need for further developments and technique amalgamations.
KW - agricultural product
KW - anthocyanin
KW - chemometrics
KW - food products
KW - non-destructive techniques
UR - http://www.scopus.com/inward/record.url?scp=85135237256&partnerID=8YFLogxK
U2 - 10.3389/fnut.2022.901342
DO - 10.3389/fnut.2022.901342
M3 - Review article
C2 - 35928834
SN - 2296-861X
VL - 9
SP - 1
EP - 14
JO - Frontiers in Nutrition
JF - Frontiers in Nutrition
M1 - 901342
ER -