Future perspectives on aptamer for application in food authentication.

Anal Biochem

Halal Products Research Institute, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia; Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. Electronic address:

Published: November 2022

Food fraudulence and food contamination are major concerns, particularly among consumers with specific dietary, cultural, lifestyle, and religious requirements. Current food authentication methods have several drawbacks and limitations, necessitating the development of a simpler, more sensitive, and rapid detection approach for food screening analysis, such as an aptamer-based biosensor system. Although the use of aptamer is growing in various fields, aptamer applications for food authentication are still lacking. In this review, we discuss the limitations of existing food authentication technologies and describe the applications of aptamer in food analyses. We also project several potential targets or marker molecules to be targeted in the SELEX process. Finally, this review highlights the drawbacks of current aptamer technologies and outlines the potential route of aptamer selection and applications for successful food authentication. This review provides an overview of the use of aptamer in food research and its potential application as a molecular reporter for rapid detection in food authentication process. Developing databases to store all biochemical profiles of food and applying machine learning algorithms against the biochemical profiles are urged to accelerate the identification of more reliable biomarker molecules as aptamer targets for food authentication.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ab.2022.114861DOI Listing

Publication Analysis

Top Keywords

food authentication
28
food
13
aptamer
8
rapid detection
8
aptamer food
8
biochemical profiles
8
authentication
7
future perspectives
4
perspectives aptamer
4
aptamer application
4

Similar Publications

Germination under the dark as an efficient method to enrich barley hordatine aglycones and to prepare a hordatine-rich fraction.

Food Chem

January 2025

Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, NC Research Campus, 500 Laureate Way, Kannapolis, North Carolina 28081, United States. Electronic address:

Barley (Hordeum vulgare L.; Poaceae), the second most important grain after wheat, contains phenolamides, specifically hordatines and their agmatinated precursors. Hordatines are the unique compounds found in barley, consumption of which is associated with beneficial effects for human health.

View Article and Find Full Text PDF

Geographical differentiation between South Korean and Chinese onions using stable isotope ratios and mineral content analysis.

Food Addit Contam Part A Chem Anal Control Expo Risk Assess

January 2025

Forensic Toxicology Division, National Forensic Service, Wonju, South Korea.

Geographical origin authentication of onions has become significant owing to origin labelling fraud in South Korea. Various analytical techniques based on stable isotope ratios, organic and inorganic constituents, or their combinations, can distinguish agricultural products geographically. However, studies on the geographical classification of South Korean and Chinese onions using stable isotopes and minerals remain scarce.

View Article and Find Full Text PDF

Physicochemical properties, structural analysis, and activity of Shancigu polysaccharides.

Int J Biol Macromol

January 2025

Jiangsu Key Laboratory of Regional Specific Resource Pharmaceutical Transformation, Huaiyin Institute of Technology, Huai'an 223003, China; National & Local Joint Engineering Research Center for Mineral Salt Deep Utilization, Huaiyin Institute of Technology, Huai'an 223003, China. Electronic address:

Objective: To investigate the physicochemical properties, structural characteristics and in vitro activities of Shancigu polysaccharides to identify the authenticity of Shancigu, safeguard its medicinal value, and ensure the safety of its market distribution.

Methods: Eleven polysaccharides from different sources of Shancigu were obtained using water extraction and alcohol precipitation. Physicochemical properties were determined using colorimetry.

View Article and Find Full Text PDF

Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.

J Food Sci

January 2025

Digital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Science, Faculty of Science, The University of Melbourne, Melbourne, Victoria, Australia.

Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with machine learning (ML) modeling for beer authentication, quality traits, and control assessment. For this study, 25 commercial beers from different brands, styles, and three types of fermentation were used.

View Article and Find Full Text PDF

Application of predictive modeling tools for the identification of Ocimum spp. herbal products.

Anal Bioanal Chem

January 2025

Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.

Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!