Smartphone detection of minced beef adulteration-Reference-Cited by-同舟云学术

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Smartphone detection of minced beef adulteration

Published:2021-05 Issue: Volume:164 Page:106088
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Song Weiran,Yun Yong-Huan,Wang Hui,Hou Zongyu,Wang Zhe

Funder

National Natural Science Foundation of China

Hainan University

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference22 articles.

1. Application of mid-infrared spectroscopy with multivariate analysis and soft independent modeling of class analogies (SIMCA) for the detection of adulterants in minced beef;Meza-Márquez;Meat Sci.,2010

2. Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging;Xiaochun Zheng;Meat Sci.,2019

3. Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: current state-of-the-art research advances;Feng;Food Control,2018

4. Horse meat scandal – a wake-up call for regulatory authorities;Premanandh;Food Control,2013

5. Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef;Jiang;Food Anal. Methods,2019

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shortwave infrared hyperspectral imaging for the determination of pork adulteration in minced beef and lamb;Food Control;2024-12

2. Research advances in detection of food adulteration and application of MALDI-TOF MS: A review;Food Chemistry;2024-10

3. Smartphone-integrated visual inspection for enhancing agricultural product quality and safety: a review;Critical Reviews in Food Science and Nutrition;2024-09-04

4. Development of a computer vision system for the classification of olive oil samples with different harvesting years and estimation of chlorophyll and carotenoid contents: A comparison of the proposed method’s efficiency with UV-Vis spectroscopy;Journal of Food Composition and Analysis;2024-05

5. Minced Meat Classification using Digital Imaging System Coupled with Machine Learning;2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA);2023-11-14

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