Current progress on meat food authenticity detection methods
暂无分享,去创建一个
L. Niu | Lei Chen | Xuewei Li | Ye Zhao | L. Shen | Shunhua Zhang | Li Zhu | Jinyong Wang | Zhiyang Huang | M. Gan | Menglin Li | Zongyi Guo | Zhongwei Xie | Cheng-Xiang Zhou | Junhua Du | Meng-yu Wang | Haodong Dai
[1] Jinpeng Wang,et al. Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging. , 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
[2] Dachriyanus,et al. The Metabolomics Approaches Based on LC-MS/MS for Analysis of Non-Halal Meats in Food Products: A Review , 2022, Agriculture.
[3] Setya Widyawan Prakosa,et al. An Improved Classification of Pork Adulteration in Beef Based on Electronic Nose Using Modified Deep Extreme Learning with Principal Component Analysis as Feature Learning , 2022, Food Analytical Methods.
[4] A. Muro,et al. SMART-LAMP: A Smartphone-Operated Handheld Device for Real-Time Colorimetric Point-of-Care Diagnosis of Infectious Diseases via Loop-Mediated Isothermal Amplification , 2022, Biosensors.
[5] A. Hernández-García,et al. Diagnostics of COVID-19 Based on CRISPR–Cas Coupled to Isothermal Amplification: A Comparative Analysis and Update , 2022, Diagnostics.
[6] F. Saeed,et al. Proteomics as a promising biomarker in food authentication, quality and safety: A review , 2022, Food science & nutrition.
[7] Suratno,et al. Untargeted metabolomics and proteomics approach using liquid chromatography-Orbitrap high resolution mass spectrometry to detect pork adulteration in Pangasius hypopthalmus meat. , 2022, Food chemistry.
[8] Yin Dai,et al. Visual Detection of Duck Tembusu Virus With CRISPR/Cas13: A Sensitive and Specific Point-of-Care Detection , 2022, Frontiers in Cellular and Infection Microbiology.
[9] Wei Chen,et al. Rational incorporating of loop-mediated isothermal amplification with fluorescence anisotropy for rapid, sensitive and on-site identification of pork adulteration , 2022, Food Control.
[10] D. Rawtani,et al. Food forensics: Techniques for authenticity determination of food products. , 2022, Forensic science international.
[11] Changquan Huang,et al. A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose , 2022, Foods.
[12] Iskakova Aisha Nurbekovna,et al. Meta-analysis data of the accuracy of tests for meat adulteration by real-time PCR , 2022, Data in Brief.
[13] Hongtao Lei,et al. Alkaline lysis-recombinase polymerase amplification combined with CRISPR/Cas12a assay for the ultrafast visual identification of pork in meat products. , 2022, Food chemistry.
[14] Dawei Sun,et al. Rapid and nondestructive detection of marine fishmeal adulteration by hyperspectral imaging and machine learning. , 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
[15] So-Young Lee,et al. A Review of Isothermal Amplification Methods and Food-Origin Inhibitors against Detecting Food-Borne Pathogens , 2022, Foods.
[16] Sasithon Temisak,et al. Sensitive Detection of Chicken Meat in Commercial Processed Food Products Based on One-Step Colourimetric Loop-Mediated Isothermal Amplification , 2022, Food Analytical Methods.
[17] S. Barbuddhe,et al. Alkaline lysis‐loop mediated isothermal amplification assay for rapid and on‐site authentication of buffalo ( Bubalus bubalis ) meat , 2021, Journal of Food Safety.
[18] Jun Liu,et al. CRISPR-Cas system meets DNA barcoding: development of a universal nucleic acid test for food authentication , 2021, Sensors and Actuators B: Chemical.
[19] Yi Yang,et al. Chemometrics in Tandem with Hyperspectral Imaging for Detecting Authentication of Raw and Cooked Mutton Rolls , 2021, Foods.
[20] Riyanarto Sarno,et al. Ensemble Learning for Optimizing Classification of Pork Adulteration in Beef Based on Electronic Nose Dataset , 2021, International Journal of Intelligent Engineering and Systems.
[21] Ruijie Deng,et al. CRISPR-Cas12-Based Rapid Authentication of Halal Food. , 2021, Journal of agricultural and food chemistry.
[22] J. Albo,et al. Non-Specific Binding and Cross-Reaction of ELISA: A Case Study of Porcine Hemoglobin Detection , 2021, Foods.
[23] Chadwick A. Parrish,et al. Emerging nondestructive approaches for meat quality and safety evaluation-A review. , 2021, Comprehensive reviews in food science and food safety.
[24] Syed Muhammad Kamal Uddin,et al. Short targeting multiplex PCR assay to detect and discriminate beef, buffalo, chicken, duck, goat, sheep and pork DNA in food products , 2021, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.
[25] Liang Guo,et al. Improved triplex real‐time PCR with endogenous control for synchronous identification of DNA from chicken, duck, and goose meat , 2021, Food science & nutrition.
[26] S. Kalkhof,et al. Authentication of nine poultry species using high-performance liquid chromatography–tandem mass spectrometry , 2021 .
[27] A. Amine,et al. Smartphone-based competitive immunoassay for quantitative on-site detection of meat adulteration. , 2021, Talanta.
[28] Tingting Deng,et al. An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food. , 2021, Food chemistry.
[29] Y. Kumar. Isothermal amplification-based methods for assessment of microbiological safety and authenticity of meat and meat products , 2021 .
[30] Jiapeng Li,et al. Identification of eleven meat species in foodstuff by a hexaplex real-time PCR with melting curve analysis , 2021 .
[31] Ting Xu,et al. Development of a nanobody-based ELISA for the detection of the insecticides cyantraniliprole and chlorantraniliprole in soil and the vegetable bok choy , 2021, Analytical and Bioanalytical Chemistry.
[32] R. Kumar,et al. Paper-based loop-mediated isothermal amplification and lateral flow (LAMP-LF) assay for identification of tissues of cattle origin. , 2021, Analytica chimica acta.
[33] H. Aghamollaei,et al. Nanobodies, the potent agents to detect and treat the Coronavirus infections: A systematic review , 2020, Molecular and Cellular Probes.
[34] Yogesh Kumar,et al. Rapid point-of-care testing methods/devices for meat species identification: A review. , 2020, Comprehensive reviews in food science and food safety.
[35] Ailiang Chen,et al. Quantitative determination of mutton adulteration with single-copy nuclear genes by real-time PCR. , 2020, Food chemistry.
[36] N. Karabasanavar,et al. Identification of sheep (Ovis aries) meat by alkaline lysis-loop mediated isothermal amplification technique targeting mitochondrial D-loop region , 2020, Journal of Food Science and Technology.
[37] Shouwei Wang,et al. Assessment of carbonic anhydrase 3 as a marker for meat authenticity and performance of LC-MS/MS for pork content. , 2020, Food chemistry.
[38] Jiapeng Li,et al. A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. , 2020, Food chemistry.
[39] W. H. Li,et al. Densely Connected Deep Extreme Learning Machine Algorithm , 2020, Cognitive Computation.
[40] Xueming Tang,et al. RPA-Cas12a-FS: A frontline nucleic acid rapid detection system for food safety based on CRISPR-Cas12a combined with recombinase polymerase amplification. , 2020, Food chemistry.
[41] Yi-Ning Wang,et al. Genotyping of 30 kinds of cutaneous human papillomaviruses by a multiplex microfluidic loop-mediated isothermal amplification and visual detection method , 2020, Virology Journal.
[42] Yin Zhang,et al. Comparative review and the recent progress in detection technologies of meat product adulteration. , 2020, Comprehensive reviews in food science and food safety.
[43] E. Fornal,et al. LC-QTOF-MS identification of rabbit-specific peptides for authenticating the species composition of meat products. , 2020, Food chemistry.
[44] Lianbo Guo,et al. Visualization accuracy improvement of spectral quantitative analysis for meat adulteration using Gaussian distribution of regression coefficients in hyperspectral imaging , 2020, Optik.
[45] Fande Kong,et al. Detection of porcine-derived ingredients from adulterated meat based on real-time loop-mediated isothermal amplification. , 2020, Molecular and cellular probes.
[46] Zi-feng Yang,et al. Rapid and sensitive detection of COVID-19 using CRISPR/Cas12a-based detection with naked eye readout, CRISPR/Cas12a-NER , 2020, Science Bulletin.
[47] I. Karunasagar,et al. Rapid visual detection of Vibrio parahaemolyticus in seafood samples by loop-mediated isothermal amplification with hydroxynaphthol blue dye , 2020, World Journal of Microbiology and Biotechnology.
[48] Mehmet Türkan,et al. Electronic Nose and Its Applications: A Survey , 2020, Int. J. Autom. Comput..
[49] S. Barbuddhe,et al. Rapid detection of pork using alkaline lysis- Loop Mediated Isothermal Amplification (AL-LAMP) technique , 2020 .
[50] Qamar Zia,et al. Current analytical methods for porcine identification in meat and meat products. , 2020, Food chemistry.
[51] S. Kumari,et al. On-Site Detection of Tissues of Buffalo Origin by Loop-Mediated Isothermal Amplification (LAMP) Assay Targeting Mitochondrial Gene Sequences , 2020, Food Analytical Methods.
[52] Fangkai Han,et al. Detection of Beef Adulterated with Pork Using a Low-Cost Electronic Nose Based on Colorimetric Sensors , 2020, Foods.
[53] Hongzhe Jiang,et al. Rapid Identification and Visualization of Jowl Meat Adulteration in Pork Using Hyperspectral Imaging , 2020, Foods.
[54] Jianfeng Ping,et al. Contamination-free visual detection of CaMV35S promoter amplicon using CRISPR/Cas12a coupled with a designed reaction vessel: Rapid, specific and sensitive. , 2020, Analytica chimica acta.
[55] Chastine Fatichah,et al. Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System , 2020, IEEE Access.
[56] Riyanarto Sarno,et al. Optimizing Threshold using Pearson Correlation for Selecting Features of Electronic Nose Signals , 2019 .
[57] S. Mustafa,et al. Potential authentication of various meat-based products using simple and efficient DNA extraction method. , 2019, Journal of the science of food and agriculture.
[58] Jiayu Wang,et al. Colorimetric Detection of Horse Meat Based on Loop-Mediated Isothermal Amplification (LAMP) , 2019, Food Analytical Methods.
[59] René Becker,et al. German Government Official Methods Board Points the Way Forward: Launch of a New Working Group for Mass Spectrometry for Protein Analysis to Detect Food Fraud and Food Allergens. , 2019, Journal of AOAC International.
[60] Jian Wu,et al. Uracil mediated new PAM of Cas12a to realize visualized DNA detection at single-copy level free from contamination. , 2019, Analytical chemistry.
[61] Zeling Chen,et al. Rapid Identification of Rainbow Trout Adulteration in Atlantic Salmon by Raman Spectroscopy Combined with Machine Learning , 2019, Molecules.
[62] Sergio Luiz Stevan,et al. Peach growth cycle monitoring using an electronic nose , 2019, Comput. Electron. Agric..
[63] Yi Yang,et al. Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef , 2019, Food Analytical Methods.
[64] Magdalena Montowska,et al. Species-specific peptide-based liquid chromatography-mass spectrometry monitoring of three poultry species in processed meat products. , 2019, Food chemistry.
[65] A. Macierzanka,et al. MRM-MS of marker peptides and their abundance as a tool for authentication of meat species and meat cuts in single-cut meat products. , 2019, Food chemistry.
[66] M. Hamid,et al. Authentication approach using enzyme-linked immunosorbent assay for detection of porcine substances , 2019, Quality Assurance and Safety of Crops & Foods.
[67] Aly Farag El Sheikha,et al. DNAFoil: Novel technology for the rapid detection of food adulteration , 2019, Trends in Food Science & Technology.
[68] Ignacio Ortea,et al. Review of Recent DNA-Based Methods for Main Food-Authentication Topics. , 2019, Journal of agricultural and food chemistry.
[69] Yankun Peng,et al. Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging. , 2019, Meat science.
[70] Mansour Samadpour,et al. Quantitative Detection of Chicken and Turkey Contamination in Cooked Meat Products by ELISA. , 2019, Journal of AOAC International.
[71] E. Fornal,et al. Absolute quantification of targeted meat and allergenic protein additive peptide markers in meat products. , 2019, Food chemistry.
[72] D. Savage. Cas14: Big Advances from Small CRISPR Proteins. , 2019, Biochemistry.
[73] Riyanarto Sarno,et al. Noise filtering framework for electronic nose signals: An application for beef quality monitoring , 2019, Comput. Electron. Agric..
[74] Wei Chen,et al. A sensitive multiplex PCR protocol for simultaneous detection of chicken, duck, and pork in beef samples , 2019, Journal of Food Science and Technology.
[75] Wei Chen,et al. Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging. , 2019, Meat science.
[76] E. Fornal,et al. Liquid chromatography-mass spectrometry bottom-up proteomic methods in animal species analysis of processed meat for food authentication and the detection of adulterations. , 2019, Mass spectrometry reviews.
[77] B. Prandi,et al. Peptides as probes for food authentication , 2018 .
[78] S. Mustafa,et al. Molecular beacon-based real-time PCR method for detection of porcine DNA in gelatin and gelatin capsules. , 2018, Journal of the science of food and agriculture.
[79] Y. Hsieh,et al. Monoclonal antibody-based ELISA for the quantification of porcine hemoglobin in meat products. , 2018, Food chemistry.
[80] Yankun Peng,et al. Spectral Detection Techniques for Non-Destructively Monitoring the Quality, Safety, and Classification of Fresh Red Meat , 2018, Food Analytical Methods.
[81] Shouwei Wang,et al. Simultaneous determination of heat stable peptides for eight animal and plant species in meat products using UPLC-MS/MS method. , 2018, Food chemistry.
[82] Amanda M. Naaum,et al. Complementary molecular methods detect undeclared species in sausage products at retail markets in Canada , 2018 .
[83] Vinayak V Kulkarni,et al. In-gel and OFFGEL-based proteomic approach for authentication of meat species from minced meat and meat products. , 2018, Journal of the science of food and agriculture.
[84] A. Adedeji,et al. Assessing different processed meats for adulterants using visible-near-infrared spectroscopy. , 2018, Meat science.
[85] Nan Zhong,et al. Identification of Adulterated and Non-adulterated Norwegian Salmon Using FTIR and an Improved PLS-DA Method , 2018, Food Analytical Methods.
[86] Litao Yang,et al. Droplet digital PCR (ddPCR) method for the detection and quantification of goat and sheep derivatives in commercial meat products , 2018, European Food Research and Technology.
[87] Magdalena Montowska,et al. Label-free quantification of meat proteins for evaluation of species composition of processed meat products. , 2017, Food chemistry.
[88] S. Mustafa,et al. Authentication technologies using DNA-based approaches for meats and halal meats determination , 2017 .
[89] Alice Giusti,et al. Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies , 2017, PloS one.
[90] Chao Shi,et al. A novel method to control carryover contamination in isothermal nucleic acid amplification. , 2017, Chemical communications.
[91] Huanwen Chen,et al. Rapid Identification of Meat Species by the Internal Extractive Electrospray Ionization Mass Spectrometry of Hemoglobin Selectively Captured on Functionalized Graphene Oxide. , 2017, Journal of agricultural and food chemistry.
[92] Dipankar Ghosh,et al. Detection of meat species adulteration using high-resolution mass spectrometry and a proteogenomics strategy , 2017, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.
[93] Dragutin Vincek,et al. Efficiency of PCR-RFLP and species specific PCR in identification of meat origin in dry sausages , 2017 .
[94] Chaoqun Huang,et al. Rapid analysis and identification of meat species by laser-ablation electrospray mass spectrometry (LAESI-MS). , 2016, Rapid communications in mass spectrometry : RCM.
[95] Jie Hu,et al. An integrated lateral flow assay for effective DNA amplification and detection at the point of care. , 2016, The Analyst.
[96] A. Omar,et al. Monoclonal antibodies specific to heat-treated porcine blood. , 2016, Journal of the science of food and agriculture.
[97] Md. Eaqub Ali,et al. Modification of gelatin-DNA interaction for optimised DNA extraction from gelatin and gelatin capsule. , 2016, Journal of the science of food and agriculture.
[98] W. Konigsberg,et al. Effect of Different Divalent Cations on the Kinetics and Fidelity of RB69 DNA Polymerase. , 2016, Biochemistry.
[99] C. Yean,et al. Development of multiplex loop mediated isothermal amplification (m-LAMP) label-based gold nanoparticles lateral flow dipstick biosensor for detection of pathogenic Leptospira. , 2016, Analytica chimica acta.
[100] Dougbeh-Chris Nyan,et al. A novel multiplex isothermal amplification method for rapid detection and identification of viruses , 2015, Scientific Reports.
[101] Morgan R Alexander,et al. Authentication of processed meat products by peptidomic analysis using rapid ambient mass spectrometry. , 2015, Food chemistry.
[102] A. Claydon,et al. Identification of novel peptides for horse meat speciation in highly processed foodstuffs , 2015, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.
[103] S. S. Shishkin,et al. Enzyme immunoassay and proteomic characterization of troponin I as a marker of mammalian muscle compounds in raw meat and some meat products. , 2015, Meat science.
[104] K. Sharafi,et al. A survey on the ratio of effluent algal BOD concentration in primary and secondary facultative ponds to influent raw BOD concentration , 2015 .
[105] Morgan R Alexander,et al. Rapid detection of peptide markers for authentication purposes in raw and cooked meat using ambient liquid extraction surface analysis mass spectrometry. , 2014, Analytical chemistry.
[106] Md. Mahfujur Rahman,et al. Polymerase chain reaction assay targeting cytochrome b gene for the detection of dog meat adulteration in meatball formulation. , 2014, Meat science.
[107] S. Mustafa,et al. Comparison of gene nature used in real-time PCR for porcine identification and quantification: a review , 2013 .
[108] Jin-Gyu Park,et al. Changes in antigenicity of porcine serum albumin in gamma-irradiated sausage extract by treatment with pepsin and trypsin , 2011 .
[109] D. Liebler,et al. Proteomics of lipid oxidation‐induced oxidation of porcine and bovine oxymyoglobins , 2007, Proteomics.
[110] C. Davies. Food Authentication and Traceability , 2004 .
[111] H Frauenfelder,et al. Myoglobin: The hydrogen atom of biology and a paradigm of complexity , 2003, Proceedings of the National Academy of Sciences of the United States of America.