AI Article Synopsis

  • The detection of adulterants in food and herbal products is difficult due to complex sample processing and the need for skilled personnel.
  • A new method using a graphene oxide-gold (GO-Au) nanocomposite coated parafilm offers a simple and highly sensitive way to detect pesticide residues, specifically chlorpyrifos, in centella powder.
  • This method allows detection down to 0.1 ppm, making it a promising tool for quality control in herbal product manufacturing by identifying potential contaminants effectively.

Article Abstract

The trace level detection of adulterants in food, nutritional supplements and medicinal herbs is highly challenging in the field of food processing and herbal industries. In addition, laborious sample processing procedures and well trained personnel are required to analyse the samples using conventional analytical equipments. In this study, a highly sensitive technique with minimal sampling processes and human intervention is proposed for the trace amount detection of pesticidal residues in centella powder. Herein, graphene oxide gold (GO-Au) nanocomposite coated parafilm is developed as substrate by simple dropcasting technique to facilitate dual surface enhanced Raman signal. The dual SERS enhancement involving chemical enhancement from graphene and electromagnetic signal enhancement from gold nanoparticles is utilized for detection of chlorpyrifos in the ppm level concentration. The flexible polymeric surfaces could be the better choice for SERS substrates due to their inherent properties such as flexibility, transparency, roughness and hydrophobicity. Among the various types of flexible substrates explored, GO-Au nanocomposites coated parafilm substrates showed better Raman signal enhancement. Parafilm coated with GO-Au nanocomposites is successful in achieving detection limits down to 0.1 ppm of chlorpyrifos in centella herbal powder sample. Thus, the fabricated parafilm based GO-Au SERS substrates could be used as a screening tool at quality control of herbal product manufacturing sectors for trace level detection of adulterants in herbal samples from their unique chemical and structural information.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.saa.2023.122878DOI Listing

Publication Analysis

Top Keywords

detection adulterants
12
highly sensitive
8
sensitive technique
8
centella herbal
8
herbal samples
8
surface enhanced
8
enhanced raman
8
trace level
8
level detection
8
coated parafilm
8

Similar Publications

The globalization of the food industry chain and the increasing complexity of the food supply chain present significant challenges for food authenticity and raw material processing. Food authenticity identification now extends beyond mere adulteration recognition to include quality evaluation, label compliance, traceability determination, and other quality-related aspects. Consequently, the development of high-throughput, accurate, and rapid analytical techniques is essential to meet these diversified needs.

View Article and Find Full Text PDF

Rapid metabolic fingerprinting meets machine learning models to identify authenticity and detect adulteration of essential oils with vegetable oils: Mentha and Ocimum study.

Food Chem

December 2024

International Joint Research Centre on Food Security, Pathum Thani 12120, Thailand; Institute for Global Food Security (IGFS), School of Biological Sciences, Queen's University Belfast (QUB), BT9 5DL, UK.

Essential oils (EOs) are gaining popularity due to their potent antibacterial properties, as well as their applications in food preservation and flavor enhancement, offering growth opportunities for the food industry. However, their widespread use as food preservatives is limited by authenticity challenges, primarily stemming from adulteration with cheaper oils. This study investigated a rapid, cost-effective, and non-destructive method for assessing the authenticity of widely used Mentha and Ocimum EOs.

View Article and Find Full Text PDF

Identification of 3-methoxytyramine as a specific biomarker for beet-sugar-fed honey: A two year surveillance study in South Korea.

Food Res Int

January 2025

New Hazardous Substances Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Osong, Cheongju, Chungcheongbuk-do 28159, Republic of Korea. Electronic address:

Honey is highly vulnerable to food fraud, and there are growing concerns about product authenticity. The commonly used stable carbon isotope ratios in the Calvin (C3) and Hatch-Slack (C4) photosynthesis cycles in plant feed cannot distinguish between beet-sugar-fed honey and natural honey. However, 3-methoxytyramine (3-MT) can be used as specific biomarker for identifying adulteration of beet-sugar-fed honey.

View Article and Find Full Text PDF

Growing concerns about the health risks of melamine adulteration in food products highlight the urgent need for reliable detection methods. However, the long-term effects of chronic low-level melamine exposure remain inadequately explored. This study introduces THE ONE InstantCare platform, a portable immunoassay analyzer integrating a SpectroChip-based spectral processing unit (SPU) with lateral flow immunoassay (LFIA) for sensitive and accurate quantification of melamine in human urine.

View Article and Find Full Text PDF

Due to the price and demand of having increased dramatically, adulteration with other fungi is a common problem. Thus, a reliable method of authentic identification is essential. In the present work, a rapid DNA extraction and double-tailed recombinase polymerase amplification (RPA) coupled with nucleic acid hybridization lateral flow strip (NAH-LFS) was developed to distinguish authentic ingredients from other fungi substitutes.

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!