AI Article Synopsis
- - The global food industry urgently needs accurate methods to detect food fraud, leading to the creation of a new system called CIPAM for detecting meat adulteration.
- - CIPAM uses a centrifugal microfluidic chip that combines DNA extraction with a CRISPR-based detection method, simplifying the process and allowing results to be obtained in just 30 minutes.
- - This system provides a high detection accuracy of 100%, making it suitable for use by food regulatory authorities to ensure meat quality across different types like pork, chicken, duck, and lamb.
Article Abstract
Rapid, accurate, and sensitive analytical methods for the detection of food fraud are now an urgent requirement in the global food industry to ensure food quality. In response to this demand, a centrifugal integrated purification-CRISPR array for meat adulteration (CIPAM) was established. In detail, CIPAM system combines microneedles for DNA extraction and RAA-CRISPR/Cas12a integrated into a centrifugal microfluidic chip for the detection of meat adulteration. The RAA-CRISPR/Cas12a reaction reagents were pre-embedded into the different reaction chambers on the microfluidic chip to achieve the streamline of operations, markedly simplifying the detection process. The whole reaction was completed within 30 min with a detection limit of 0.1 % (w/w) in pig, chicken, duck, and lamb products. Referring to the results of the standard method, CIPAM system achieved 100 % accuracy. The automatic multiplex detection process implemented in the developed CIPAM system met the needs of food regulatory authorities.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.foodchem.2024.138507 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
BraNet: a mobil application for breast image classification based on deep learning algorithms.
Med Biol Eng Comput
September 2024
Department of Systems Design Engineering, Physics, and Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L3G1, Canada.
Mobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions and reducing false diagnoses. This study aims to develop an open-source mobile app named "BraNet" for 2D breast imaging segmentation and classification using deep learning algorithms. During the phase off-line, an SNGAN model was previously trained for synthetic image generation, and subsequently, these images were used to pre-trained SAM and ResNet18 segmentation and classification models.
View Article and Find Full Text PDFHigh-throughput identification of meat ingredients in adulterated foods based on centrifugal integrated purification-CRISPR array.
Food Chem
June 2024
Department of Food Science & Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China. Electronic address:
Article Synopsis
- - The global food industry urgently needs accurate methods to detect food fraud, leading to the creation of a new system called CIPAM for detecting meat adulteration.
- - CIPAM uses a centrifugal microfluidic chip that combines DNA extraction with a CRISPR-based detection method, simplifying the process and allowing results to be obtained in just 30 minutes.
- - This system provides a high detection accuracy of 100%, making it suitable for use by food regulatory authorities to ensure meat quality across different types like pork, chicken, duck, and lamb.
[Accident prevention and emergency treatment of traumatic hand injuries in the metropolitan area of São Paulo].
AMB Rev Assoc Med Bras
December 1991
Centro Integrado de Proteção à Atividade Manual, São Paulo.
The workman's hand is a "tool"; it is his most valuable asset. Worker selection and training, associated with a preventional approach, by employee and employer, humanises work and makes it more effective. The rate of hand injuries in the city of São Paulo is very high (of the order of 500 cases per day) and its aggregate cost is extremely high.
View Article and Find Full Text PDFWant 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!