Literature DB >> 17008137

Fast differentiation of meats from fifteen animal species by liquid chromatography with electrochemical detection using copper nanoparticle plated electrodes.

Chi-Chung Chou1, Show-Ping Lin, Kuo-Ming Lee, Cheng-Teng Hsu, Thomas W Vickroy, Jyh-Myng Zen.   

Abstract

A simple, rapid and reliable method based on high-performance liquid chromatography with electrochemical detection was developed to routinely differentiate among meat products from fifteen food animal species. Samples from cattle, pigs, goats, deer, horses, chickens, ducks, ostriches, salmon, cod, shrimp, crabs, scallops, bullfrogs and alligators each exhibited unique electrochemical profiles. Species-specific markers exhibited reproducible peak retention times with coefficients of variation less then 6% across different runs, body regions and subjects. The method requires no derivatization or extraction steps and may be applicable to fresh or cooked meats. Incubation of fresh beef, pork or chicken at room temperature for 24h or repeated freezing and thawing changed the intensity but not the pattern of species-specific peaks. In conclusion, this method appears suitable for rapid differentiation of meats from various food animal species and demonstrates the utility of electrochemical detection to supplement existing immunochemical and molecular biological methods. The possibility of using this method to detect adulteration and degradative changes of meat proteins is discussed.

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Year:  2006        PMID: 17008137     DOI: 10.1016/j.jchromb.2006.09.006

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  8 in total

1.  Application of class-modelling techniques to infrared spectra for analysis of pork adulteration in beef jerkys.

Authors:  Bambang Kuswandi; Fitra Karima Putri; Agus Abdul Gani; Musa Ahmad
Journal:  J Food Sci Technol       Date:  2015-06-07       Impact factor: 2.701

2.  Rapid analysis to distinguish porcine and bovine gelatin using PANI/NiO nanoparticles modified Quartz Crystal Microbalance (QCM) sensor.

Authors:  Fredy Kurniawan; Ari Nugroho; Rangga Aji Baskara; Lourentia Candle; Diwasasri Pradini; Kartika A Madurani; Raden Djarot Sugiarso; Hendro Juwono
Journal:  Heliyon       Date:  2022-05-11

3.  Using species-specific repeat and PCR-RFLP in typing of DNA derived from blood of human and animal species.

Authors:  Yasser Said El-Sayed; Omnia Ismaeil Mohamed; Khaled Mohamed Ashry; Salah M Abd El-Rahman
Journal:  Forensic Sci Med Pathol       Date:  2009-11-28       Impact factor: 2.007

4.  Lab-on-a-Chip-Based PCR-RFLP Assay for the Detection of Malayan Box Turtle (Cuora amboinensis) in the Food Chain and Traditional Chinese Medicines.

Authors:  Md Eaqub Ali; Sharifah Bee Abd Hamid; M A Motalib Hossain; Shuhaimi Mustafa; Md Abdul Kader; I S M Zaidul
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

5.  Identification of Pork Adulteration in Processed Meat Products Using the Developed Mitochondrial DNA-Based Primers.

Authors:  Jimyeong Ha; Sejeong Kim; Jeeyeon Lee; Soomin Lee; Heeyoung Lee; Yukyung Choi; Hyemin Oh; Yohan Yoon
Journal:  Korean J Food Sci Anim Resour       Date:  2017-06-30       Impact factor: 2.622

6.  Species Identification of Red Deer (Cervus elaphus), Roe Deer (Capreolus capreolus), and Water Deer (Hydropotes inermis) Using Capillary Electrophoresis-Based Multiplex PCR.

Authors:  Mi-Ju Kim; Yu-Min Lee; Seung-Man Suh; Hae-Yeong Kim
Journal:  Foods       Date:  2020-07-23

Review 7.  Omics-Based Analytical Approaches for Assessing Chicken Species and Breeds in Food Authentication.

Authors:  Goh Dirong; Sara Nematbakhsh; Jinap Selamat; Pei Pei Chong; Lokman Hakim Idris; Noordiana Nordin; Fatchiyah Fatchiyah; Ahmad Faizal Abdull Razis
Journal:  Molecules       Date:  2021-10-28       Impact factor: 4.411

8.  Identification of donkey meat in foods using species-specific PCR combined with lateral flow immunoassay.

Authors:  Liangjuan Zhao; Marti Z Hua; Shenmiao Li; Jinyu Liu; Wenjie Zheng; Xiaonan Lu
Journal:  RSC Adv       Date:  2019-08-23       Impact factor: 4.036

  8 in total

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