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Belore BM, Maheswarappa NB, Kulkarni VV, Banerjee R, Hazarika P, Dasoju S, Mishra BP, Govindaiah PM. Biomarker discovery and authentication of cold-slaughtered chicken through classical analytical procedures and mass spectrometry based proteomic approaches. Br Poult Sci 2023; 64:605-613. [PMID: 37593926 DOI: 10.1080/00071668.2023.2239168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 05/16/2023] [Accepted: 06/22/2023] [Indexed: 08/19/2023]
Abstract
1. This study evaluated the suitability of routine analytical procedures and used mass spectrometry-based proteomic approaches to distinguish meat from dead chicken/ cold-slaughtered birds (CS), electrically stunned and slaughtered birds, as per standard protocols (ES), and birds slaughtered according to halal guidelines (HS).2. Meat from CS birds had lower (P < 0.05) pH, water-holding capacity and higher (P < 0.05) lipid oxidation, haem iron content, residual blood and total viable counts relative to ES and HS meat indicating poor quality.3. The results demonstrated the presence of unique protein bands on SDS-PAGE only in CS meat that can be used for routine screening.4. Protein analysis using MALDI-TOF mass spectrometry identified haemoglobin subunit alpha-A and alpha-D; Adenylate kinase isoenzyme 1 as reliable and stable marker proteins for authentication of dead chicken meat under raw and cooked conditions and halal slaughtered chicken, respectively.5. The methods used may be employed by the food safety and regulatory agencies for regular screening of meat quality and to authenticate CS or HS chicken.
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Affiliation(s)
- B M Belore
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - N B Maheswarappa
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - V V Kulkarni
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - R Banerjee
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - P Hazarika
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - S Dasoju
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - B P Mishra
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - P M Govindaiah
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
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Liu T, Tian Y, Cao Y, Wang Z, Zha G, Liu W, Wei L, Xiao H, Zhang Q, Cao C. Isoelectric point barcode and similarity analysis with the earth mover's distance for identification of species origin of raw meat. Food Res Int 2023; 166:112600. [PMID: 36914325 DOI: 10.1016/j.foodres.2023.112600] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 02/07/2023] [Accepted: 02/14/2023] [Indexed: 02/20/2023]
Abstract
In this work, by combining the microcolumn isoelectric focusing (mIEF) and similarity analysis with the earth mover's distance (EMD) metric, we proposed the concept of isoelectric point (pI) barcode for the identification of species origin of raw meat. At first, we used the mIEF to analyze 14 meat species, including 8 species of livestock and 6 species of poultry, to generate 140 electropherograms of myoglobin/hemoglobin (Mb/Hb) markers. Secondly, we binarized the electropherograms and converted them into the pI barcodes that only showed the major Mb/Hb bands for the EMD analysis. Thirdly, we efficiently developed the barcode database of 14 meat species and successfully used the EMD method to identify 9 meat products thanks to the high throughput of mIEF and the simplified format of the barcode for similarity analysis. The developed method had the merits of facility, rapidity and low cost. The developed concept and method had evident potential to the facile identification of meat species.
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Affiliation(s)
- Tian Liu
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Youli Tian
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yiren Cao
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zihao Wang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Genhan Zha
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Weiwen Liu
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Li Wei
- Shanghai 6(th) People's Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
| | - Hua Xiao
- School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Qiang Zhang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Chengxi Cao
- School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai 6(th) People's Hospital, Shanghai Jiao Tong University, Shanghai 200233, China.
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Hasan MM, Arafah P, Ozawa H, Ushio H, Ochiai Y. Thermal denaturation and autoxidation profiles of carangid fish myoglobins. FISH PHYSIOLOGY AND BIOCHEMISTRY 2021; 47:487-498. [PMID: 33515395 DOI: 10.1007/s10695-021-00928-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 01/12/2021] [Indexed: 06/12/2023]
Abstract
Although myoglobin (Mb) has been considered to be one of the well-characterized proteins, screening of post-genomic era databases revealed the lack of adequate information on teleost Mbs. The present study was aimed to investigate stability and functional features of Mbs from three teleosts of the same family. To unfold how primary structure influences the stability and function of proteins, Mbs were purified from the dark muscles of three carangids, namely, yellowtail, greater amberjack, and silver trevally. Thermostabilities measured by circular dichroism (CD) spectrometry revealed species-specific thermal denaturation pattern, i.e., silver trevally > yellowtail > greater amberjack Mbs. On the other hand, autoxidation rate constants of the ferrous forms of those three carangid Mbs showed positive correlation between the ferrous state of the heme iron and rising temperature. The order of autoxidation rate was in the order of greater amberjack > yellowtail > silver trevally Mbs. The finding of the present study denotes that the thermal stability is not necessarily correlated with the functional stability of carangid Mbs even though their primary structures shared high homology (84-94%).
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Affiliation(s)
- Muhammad Mehedi Hasan
- Graduate School of Agricultural and Life Sciences, The Univerisity of Tokyo, Bunkyo, Tokyo, 113-8657, Japan.
- Department of Fisheries Technology, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
| | - Purnama Arafah
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, 980-8572, Japan
| | - Hideo Ozawa
- Faculty of Applied Bioscience, Kanagawa Institute of Technology, Shimo-Ogino, Atsugi, Kanagawa, 243-0292, Japan
| | - Hideki Ushio
- Graduate School of Agricultural and Life Sciences, The Univerisity of Tokyo, Bunkyo, Tokyo, 113-8657, Japan
| | - Yoshihiro Ochiai
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, 980-8572, Japan
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Hong J, Hou C, Xu Z, He M, Xu W. Liquid-Phase Ion Trap for Ion Trapping, Transfer, and Sequential Ejection in Solutions. Anal Chem 2020; 92:9065-9071. [PMID: 32441513 DOI: 10.1021/acs.analchem.0c01261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In this study, a new method/mechanism to manipulate ions in solution was developed, based on which liquid-phase ion trap was built. In this liquid-phase ion trap, ion manipulations conventionally performed in a quadrupole ion trap or in a trapped ion mobility spectrometer placed in a vacuum were achieved in solutions. Through theoretical derivation and numerical simulation, it is found that ions have different motional characteristics than those in vacuum. Instead of a radio frequency quadrupole electric field, tunable DC electric fields together with a constant liquid flow were applied to control ion motions in solution. Different ions could be trapped and focused in a potential well, and ion densities could be increased by over 100-fold. By adjusting the DC electric field of the potential well, trapped ions could be transferred into another trapping region or sequentially released for detection. Ions released from the liquid-phase ion trap were then detected by a mass spectrometer interfaced with an electrospray ionization source. Since the ion manipulation mechanism in solution is different and complementary to that in vacuum, the use of a liquid-phase ion trap could also boost detection sensitivity and the mixture analysis capability of a mass spectrometer.
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Affiliation(s)
- Jie Hong
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Chenyue Hou
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Zuqiang Xu
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Muyi He
- Institute of Food Safety, Chinese Academy of Inspection & Quarantine, Beijing 100176, China
| | - Wei Xu
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
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Saud S, Li G, Kong H, Khan MI, Qiang Z, Sun Y, Liu W, Ding C, Xiao H, Wang Y, Li H, Cao C. Identification of chicken meat quality via rapid array isoelectric focusing with extraction of hemoglobin and myoglobin in meat sample. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1128:121790. [PMID: 31525721 DOI: 10.1016/j.jchromb.2019.121790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/28/2019] [Accepted: 09/06/2019] [Indexed: 02/07/2023]
Abstract
Isoelectric focusing (IEF) has been used for determination of meat quality with high stability analysis. However, it still suffered from time-consuming, laborious and cost-effective performances, e.g., 3 h protein extraction, more than 10 h rehydration time, 5-12 h focusing time, and imaging of protein band. To overcome these issues, a speedy extraction of colorful proteins was developed by controlling extraction and centrifugation of 0.2g sample within 10 min and 15 min respectively; a rapid analytical method was designed by using a quick array IEF with 25 min rehydration, 7 min focusing, 2 min online scanning and imaging of focused proteins. The total analytical time was well controlled within 1 h, significantly less than the traditional IEF time of 24 h. To demonstrate the proposed method, 18 chickens were classified into three groups, e.g., the normal slaughtering, death treatment underwater, and death with infection via the New castle disease (NDV) virus. The experiments demonstrated that two Mb bands with pI 6.8 and 7.4 were present in slaughtered chickens, while four other bands with pI 6.83, 6.95, 7.09, and 7.13 were observed in abnormal chicken. The additional four proteins bands were identified by western blot (WB) as hemoglobin proteins. Furthermore, array Immobilized pH Gradient (IPG) has high sensitivity (absolute LOD of Mb and Hb were 1.3 ng and 5.5 ng), fair stability (RSD values of 2.32%, 2.27%, and 1.69%) for slaughtered, drowned, NDV-infected chickens for intra-day and (2.94%, 1.66%, and 1.07%) for inter-days, and good recovery (100%, 98.25% and 99.75%). Finally, the developed method could be used for the identification of chicken meat quality with less time and small volume reagents consuming.
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Affiliation(s)
- Shah Saud
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guoqing Li
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hao Kong
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Muhammad Idrees Khan
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhang Qiang
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yingjie Sun
- Shanghai Veterinary Research Institute, Chinese Academy of Agriculture Sciences, Shanghai 200241, China
| | - Weiwen Liu
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chan Ding
- Shanghai Veterinary Research Institute, Chinese Academy of Agriculture Sciences, Shanghai 200241, China
| | - Hua Xiao
- School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuxing Wang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Honggen Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Chengxi Cao
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
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