Literature DB >> 31240917

Chemical Barcoding: A Nuclear-Magnetic-Resonance-Based Approach To Ensure the Quality and Safety of Natural Ingredients.

Camilo F Martinez-Farina1, Stephen Driscoll2, Chelsi Wicks2, Ian Burton1, Peter D Wentzell2, Fabrice Berrué1.   

Abstract

One of the greatest challenges facing the functional food and natural health product (NHP) industries is sourcing high-quality, functional, natural ingredients for their finished products. Unfortunately, the lack of ingredient standards, modernized analytical methodologies, and industry oversight creates the potential for low quality and, in some cases, deliberate adulteration of ingredients. By exploring a diverse library of NHPs provided by the independent certification organization ISURA, we demonstrated that nuclear magnetic resonance (NMR) spectroscopy provides an innovative solution to authenticate botanicals and warrant the quality and safety of processed foods and manufactured functional ingredients. Two-dimensional NMR experiments were shown to be a robust and reproducible approach to capture the content of complex chemical mixtures, while a binary normalization step allows for emphasizing the chemical diversity in each sample, and unsupervised statistical methodologies provide key advantages to classify, authenticate, and highlight the potential presence of additives and adulterants.

Keywords:  chemical barcoding; food quality; multivariate statistical analysis; natural health products; nuclear magnetic resonance

Mesh:

Substances:

Year:  2019        PMID: 31240917     DOI: 10.1021/acs.jafc.9b01066

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

Review 1.  Synthetic DNA applications in information technology.

Authors:  Linda C Meiser; Bichlien H Nguyen; Yuan-Jyue Chen; Jeff Nivala; Karin Strauss; Luis Ceze; Robert N Grass
Journal:  Nat Commun       Date:  2022-01-17       Impact factor: 14.919

2.  Genome skimming and NMR chemical fingerprinting provide quality assurance biotechnology to validate Sarsaparilla identity and purity.

Authors:  Prasad Kesanakurti; Arunachalam Thirugnanasambandam; Subramanyam Ragupathy; Steven G Newmaster
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.