Literature DB >> 35533108

Vibrational Spectroscopy Combined with Chemometrics in Authentication of Functional Foods.

Fengjiao Li1,2, Jinyu Zhang1, Yuanzhong Wang1.   

Abstract

Many foods have both edible and medical importance and are appreciated as functional foods, preventing diseases. However, due to unscrupulous vendors and imperfect market supervision mechanisms, curative foods are prone to adulteration or some other events that harm the interests of consumers. However, traditional analytical methods are unsuitable and expensive for a broad and complex application. Therefore, people urgently need a fast, efficient, and accurate detection method to protect self-interests. Recently, the study of target samples by vibration spectrum shows strong qualitative and quantitative ability. The model established by platform technology combined with the stoichiometric analysis method can obtain better parameters, which it has good robustness and can detect functional food efficiently, quickly and nondestructive. The review compared and prospect five different vibrational spectroscopic techniques (near-infrared, Fourier transform infrared, Raman, hyperspectral imaging spectroscopy and Terahertz spectroscopy). In order to better solve some of the actual situations faced by certification, we explore and through relevant research and investigation to appropriately highlight the applicability and importance of technology combined with chemometrics in functional food authentication. There are four categories of authentication discussed: functional food authenticated in source, processing method, fraud and ingredient ratio. This paper provides an innovative process for the authentication of functional food, which has a meaningful reference value for future review or scientific research of relevant departments.

Entities:  

Keywords:  Functional foods; authentication; chemometrics; vibrational spectroscopy

Year:  2022        PMID: 35533108     DOI: 10.1080/10408347.2022.2073433

Source DB:  PubMed          Journal:  Crit Rev Anal Chem        ISSN: 1040-8347            Impact factor:   6.535


  2 in total

1.  A Novel Method for Carbendazim High-Sensitivity Detection Based on the Combination of Metamaterial Sensor and Machine Learning.

Authors:  Ruizhao Yang; Yun Li; Jincun Zheng; Jie Qiu; Jinwen Song; Fengxia Xu; Binyi Qin
Journal:  Materials (Basel)       Date:  2022-09-02       Impact factor: 3.748

Review 2.  Spectroscopic techniques for authentication of animal origin foods.

Authors:  Vandana Chaudhary; Priyanka Kajla; Aastha Dewan; R Pandiselvam; Claudia Terezia Socol; Cristina Maria Maerescu
Journal:  Front Nutr       Date:  2022-09-20
  2 in total

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