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Dong S, Gao M, Bo Z, Guan L, Hu X, Zhang H, Liu B, Li P, He K, Liu X, Zhang C. Production and characterization of a single-chain variable fragment antibody from a site-saturation mutagenesis library derived from the anti-Cry1A monoclonal antibody. Int J Biol Macromol 2020; 149:60-69. [PMID: 31954781 DOI: 10.1016/j.ijbiomac.2020.01.152] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/05/2019] [Accepted: 01/15/2020] [Indexed: 10/25/2022]
Abstract
There are plenty of applications of Cry1A toxins (Cry1Aa, Cry1Ab, Cry1Ac) in genetically modified crops, and it is necessary to establish corresponding detection methods. In this study, a single-chain variable fragment (scFv) with high affinities to Cry1A toxins was produced. First, the variable regions of heavy (VH) and light chain (VL) were amplified from hybridoma cell 5B5 which secrete anti-Cry1A monoclonal antibody (mAb) and then spliced into scFv-5B5 by overlap extension polymerase chain reaction (SOE-PCR). Subsequently, site-saturation mutagenesis was performed after homology modeling and molecular docking, which showed that asparagine35, phenylalanine36, isoleucine104, tyrosine105, and serine196, respectively, located in VH complementarity-determining region (CDR1 and CDR3) and VL framework region (FR3) were key amino acid sites. Then, the mutagenesis scFv library (1.35 × 105 CFU/mL) was constructed and a mutant scFv-2G12 with equilibrium dissociation constant (KD) value of 9.819 × 10-9 M against Cry1Ab toxin, which was lower than scFv-5B5 (2.025 × 10-8 M) was obtained by biopanning. Then, enzyme-linked immunosorbent assay (ELISA) was established with limit of detection (LOD) and limit of quantitation (LOQ) of 4.6-9.2 and 11.1-17.1 ng mL-1 respectively for scFv-2G12, which were lower than scFv-5B5 (12.4-22.0 and 23.6-39.7 ng mL-1). Results indicated the promising prospect of scFv-2G12 used for the detection of Cry1A toxins.
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Affiliation(s)
- Sa Dong
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China; College of Horticulture and Plant Protection, Yangzhou University, 225009 Yangzhou, PR China
| | - Meijing Gao
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Zongyi Bo
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, PR China
| | - Lingjun Guan
- College of Horticulture and Plant Protection, Yangzhou University, 225009 Yangzhou, PR China
| | - Xiaodan Hu
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Hanxiaoya Zhang
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Beibei Liu
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Pan Li
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Kangli He
- College of Horticulture and Plant Protection, Yangzhou University, 225009 Yangzhou, PR China
| | - Xianjin Liu
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China
| | - Cunzheng Zhang
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, PR China.
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Esteki M, Shahsavari Z, Simal-Gandara J. Gas Chromatographic Fingerprinting Coupled to Chemometrics for Food Authentication. FOOD REVIEWS INTERNATIONAL 2019. [DOI: 10.1080/87559129.2019.1649691] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- M. Esteki
- Department of Chemistry, University of Zanjan, Zanjan, Iran
| | - Z. Shahsavari
- Department of Chemistry, University of Zanjan, Zanjan, Iran
| | - J. Simal-Gandara
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo – Ourense Campus, Ourense, Spain
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3
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Dolch K, Judas M, Schwägele F, Brüggemann D. Development and validation of two triplex real-time PCR systems for the simultaneous detection of six cereal species in processed meat products. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.02.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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4
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Silletti S, Morello L, Gavazzi F, Gianì S, Braglia L, Breviario D. Untargeted DNA-based methods for the authentication of wheat species and related cereals in food products. Food Chem 2019; 271:410-418. [DOI: 10.1016/j.foodchem.2018.07.178] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 07/02/2018] [Accepted: 07/25/2018] [Indexed: 11/15/2022]
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5
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Potortì AG, Di Bella G, Mottese AF, Bua GD, Fede MR, Sabatino G, Salvo A, Somma R, Dugo G, Lo Turco V. Traceability of Protected Geographical Indication (PGI) Interdonato lemon pulps by chemometric analysis of the mineral composition. J Food Compost Anal 2018. [DOI: 10.1016/j.jfca.2018.03.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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6
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Dong S, Bo Z, Zhang C, Feng J, Liu X. Screening for single-chain variable fragment antibodies against multiple Cry1 toxins from an immunized mouse phage display antibody library. Appl Microbiol Biotechnol 2018; 102:3363-3374. [DOI: 10.1007/s00253-018-8797-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 01/17/2018] [Accepted: 01/18/2018] [Indexed: 11/25/2022]
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7
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García-García A, Madrid R, García T, Martín R, González I. Use of multiplex ligation-dependent probe amplification (MLPA) for screening of wheat, barley, rye and oats in foods. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.07.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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8
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Abstract
Cereals and, most specifically, wheat are described in this chapter highlighting on their safety and quality aspects. Moreover, wheat quality aspects are adequately addressed since they are used to characterize dough properties and baking quality. Determination of dough properties is also mentioned and pasta quality is also described in this chapter. Chemometrics-multivariate analysis is one of the analyses carried out. Regarding production weighing/mixing of flours, kneading, extruded wheat flours, and sodium chloride are important processing steps/raw materials used in the manufacturing of pastry products. Staling of cereal-based products is also taken into account. Finally, safety aspects of cereal-based products are well documented with special emphasis on mycotoxins, acrylamide, and near infrared methodology.
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Affiliation(s)
- Theo Varzakas
- a Technological Educational Institute of Peloponnese , Kalamata , Greece
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9
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Differentiation and description of aromatic short grain rice landraces of eastern Indian state of Odisha based on qualitative phenotypic descriptors. BMC Ecol 2016; 16:36. [PMID: 27507255 PMCID: PMC4977617 DOI: 10.1186/s12898-016-0086-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 06/14/2016] [Indexed: 11/10/2022] Open
Abstract
Background Speciality rice, in general, and aromatic rice in particular, possess enormous market potential for enhancing farm profits. However, systematic characterization of the diversity present in this natural wealth is a major pre requisite for using it in the breeding programs. This study reports qualitative phenotypic trait based characterization of 126 short grain aromatic rice genotypes, collected from different areas of the state of Odisha, India. Results Out of the 24 descriptors employed, highest variability (8 different types) was observed for lemma-palea colour with a genetic diversity index (He) of 0.696. The principal component analysis reveals that the tip colour of lemma, colour of awn and colour of stigma, cumulatively explain 74 % of the total variation. The Population STRUCTURE analysis classified the population into two subpopulations which were subdivided further into four distinct groups. The western and southern districts of Odisha are endowed with maximum diversity in comparison to eastern and northern districts and at district level comparisons, Koraput and Puri districts are rich with a genetic diversity values of 0.324 and 0.303 respectively. With this set of morphological qualitative traits, based on ‘phenoprinting’, a newly proposed bar coding system, unique fingerprints of each genotype can be effectively generated that can help in easy identification of these genotypes. Conclusion Though aromatic rices represent a tiny fraction of the total rice germplasm, a small collection of 126 land races did exhibit rich diversity for all the qualitative traits. For lemma-palea colour, eight different types were detected while for tip colour of lemma, six different types were recorded, suggesting the presence of rich variability in short grain aromatic rices that are conserved in this region. The proposed ‘phenoprinting’ can be an effective descriptor with the unique finger prints generated for each genotype and coupled with molecular (DNA) finger printing, we can discriminate and identify each and every aromatic short grain rice genotype. The proposed system not only help in conservation but also can confer IPR protection to these specialty rices. Electronic supplementary material The online version of this article (doi:10.1186/s12898-016-0086-8) contains supplementary material, which is available to authorized users.
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10
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Dong S, Zhang C, Zhang X, Liu Y, Zhong J, Xie Y, Xu C, Ding Y, Zhang L, Liu X. Production and Characterization of Monoclonal Antibody Broadly Recognizing Cry1 Toxins by Use of Designed Polypeptide as Hapten. Anal Chem 2016; 88:7023-32. [DOI: 10.1021/acs.analchem.6b00429] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Sa Dong
- College of Plant Protection, Nanjing Agricultural University, 210095 Nanjing, Jiangsu, People’s Republic of China
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Cunzheng Zhang
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Xiao Zhang
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Yuan Liu
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Jianfeng Zhong
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Yajing Xie
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Chongxin Xu
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Ying Ding
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Liuquan Zhang
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
| | - Xianjin Liu
- College of Plant Protection, Nanjing Agricultural University, 210095 Nanjing, Jiangsu, People’s Republic of China
- Key Laboratory
of Food Quality and Safety of Jiangsu Province, State Key Laboratory
Breeding Base, Key Laboratory of Control Technology and Standard for
Agro-product Safety and Quality, Ministry of Agriculture, and Institute
of Food Quality Safety and Detection Research, Jiangsu Academy of Agricultural Sciences, 210014 Nanjing, Jiangsu People’s Republic of China
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11
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Wilkes T, Nixon G, Bushell C, Waltho A, Alroichdi A, Burns M. Feasibility Study for Applying Spectral Imaging for Wheat Grain Authenticity Testing in Pasta. ACTA ACUST UNITED AC 2016. [DOI: 10.4236/fns.2016.75037] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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12
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RETRACTED ARTICLE: Prospects of gluten modification to rationalize celiac sprue toxicity – an immunological approach. FOOD AGR IMMUNOL 2015. [DOI: 10.1080/09540105.2015.1048788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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13
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Pegels N, González I, García T, Martín R. Authenticity testing of wheat, barley, rye and oats in food and feed market samples by real-time PCR assays. Lebensm Wiss Technol 2015. [DOI: 10.1016/j.lwt.2014.10.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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14
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Zhang X, Xu C, Zhang C, Liu Y, Xie Y, Liu X. Established a new double antibodies sandwich enzyme-linked immunosorbent assay for detecting Bacillus thuringiensis (Bt) Cry1Ab toxin based single-chain variable fragments from a naïve mouse phage displayed library. Toxicon 2014; 81:13-22. [DOI: 10.1016/j.toxicon.2014.01.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Revised: 12/17/2013] [Accepted: 01/16/2014] [Indexed: 10/25/2022]
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15
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Galimberti A, De Mattia F, Losa A, Bruni I, Federici S, Casiraghi M, Martellos S, Labra M. DNA barcoding as a new tool for food traceability. Food Res Int 2013. [DOI: 10.1016/j.foodres.2012.09.036] [Citation(s) in RCA: 155] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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16
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Wen D, Zhang C. Universal Multiplex PCR: a novel method of simultaneous amplification of multiple DNA fragments. PLANT METHODS 2012; 8:32. [PMID: 22894545 PMCID: PMC3485162 DOI: 10.1186/1746-4811-8-32] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2012] [Accepted: 07/25/2012] [Indexed: 06/01/2023]
Abstract
BACKGROUND Multiplex PCR has been successfully applied in many areas since it was first reported in 1988; however, it suffers from poor universality. RESULTS A novel method called Universal Multiplex PCR (UM-PCR) was created, which simultaneously amplifies multiple target fragments from genomic DNA. The method has two steps. First, the universal adapter-F and universal adapter-R are connected to the forward primers and the reverse primers, respectively. Hairpin structures and cross dimers of five pairs of adapter-primers are detected. Second, UM-PCR amplification is implemented using a novel PCR procedure termed "Two Rounds Mode" (three and 28-32 cycles). The first round (the first three cycles) is named the "One by One Annealing Round". The second round (28-32 cycles) combines annealing with extension. In the first two cycles of the first round, primers only amplify the specific templates; there are no templates for the universal adapters. The templates of universal adapters begin to be synthesized from the second cycle of the first round, and universal adapters and primers commence full amplification from the third cycle of the first round. CONCLUSIONS UM-PCR greatly improves the universality of multiplex PCR. UM-PCR could rapidly detect the genetic purity of maize seeds. In addition, it could be applied in other areas, such as analysis of polymorphisms, quantitative assays and identifications of species.
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Affiliation(s)
- Daxing Wen
- State Key Laboratory of Crop Biology, Agronomy College, Shandong Agricultural University, Tai’an, Shandong Province 271018, P. R. China
| | - Chunqing Zhang
- State Key Laboratory of Crop Biology, Agronomy College, Shandong Agricultural University, Tai’an, Shandong Province 271018, P. R. China
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17
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Review of the current application of fingerprinting allowing detection of food adulteration and fraud in China. Food Control 2011. [DOI: 10.1016/j.foodcont.2011.01.019] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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18
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Ibrahim M, Al-Hmoud N, Al-Rousan H, Hayek B. Detection of Durum Wheat Pasta Adulteration in the Jordanian Market by Polymerase
Chain Reaction Technology. ACTA ACUST UNITED AC 2011. [DOI: 10.3923/ajft.2011.492.499] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Khan MR, Anjum FM, Din A, Hussain S, Shabbir MA, Nadeem M. Immunochemical characteristics of wheat proteins. FOOD AGR IMMUNOL 2010. [DOI: 10.1080/09540105.2010.511151] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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20
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Pattemore J, Rice N, Marshall D, Waugh R, Henry R. Cereal variety identification using MALDI-TOF mass spectrometry SNP genotyping. J Cereal Sci 2010. [DOI: 10.1016/j.jcs.2010.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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21
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Prins TW, van Dijk JP, Angeline Van Hoef A, Voorhuijzen MM, Broeders S, Trapmann S, Seyfarth R, Pardigol A, Schoen CD, Aarts HJ, Kok EJ. Towards a multiplex cereal traceability tool using padlock probe ligation on genomic DNA. Food Chem 2010. [DOI: 10.1016/j.foodchem.2008.10.085] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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22
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Arvanitoyannis IS, Vlachos A. Maize authentication: quality control methods and multivariate analysis (chemometrics). Crit Rev Food Sci Nutr 2009; 49:501-37. [PMID: 19484633 DOI: 10.1080/10408390802068140] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Maize is one of the most important cereals because of its numerous applications in processed foods where it is the major or minor component. Apart from maize authenticity issues related to cultivar and geographical origin (national and/or international level), there is another important issue related to genetically modified maize. Various objective parameters such as fatty acids, phenolic compounds, pigments, heavy metals were determined in conjunction with subjective (sensory analysis) in order to identify the maize authenticity. However, the implementation of multivariate analysis (principal component analysis, cluster analysis, discriminant analysis, canonical analysis) is of great importance toward reaching valid conclusions on authenticity issues. This review summarized the most important finding of both objective and subjective evaluations of maize in five comprehensive tables in conjunction with the discussion.
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Affiliation(s)
- Ioannis S Arvanitoyannis
- School of Agricultural Sciences, Department of Agriculture Animal Production and Aquatic Environment, University of Thessaly, Hellas, Greece.
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Carcea M, Brereton P, Hsu R, Kelly S, Marmiroli N, Melini F, Soukoulis C, Wenping D. Food authenticity assessment: ensuring compliance with food legislation and traceability requirements. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2009. [DOI: 10.1111/j.1757-837x.2009.00011.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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24
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Tavoletti S, Iommarini L, Pasquini M. A DNA method for qualitative identification of plant raw materials in feedstuff. Eur Food Res Technol 2009. [DOI: 10.1007/s00217-009-1077-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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25
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Asensio L, González I, García T, Martín R. Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA). Food Control 2008. [DOI: 10.1016/j.foodcont.2007.02.010] [Citation(s) in RCA: 242] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Terzi V, Morcia C, Faccioli P, Faccini N, Rossi V, Cigolini M, Corbellini M, Scudellari D, Delogu G. Fusarium DNA traceability along the bread production chain. Int J Food Sci Technol 2007. [DOI: 10.1111/j.1365-2621.2006.01344.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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27
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28
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Fate of feed plant DNA monitored in water buffalo (Bubalus bubalis) and rabbit (Oryctolagus cuniculus). Livest Sci 2006. [DOI: 10.1016/j.livsci.2006.04.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Current awareness in phytochemical analysis. PHYTOCHEMICAL ANALYSIS : PCA 2006; 17:63-70. [PMID: 16454478 DOI: 10.1002/pca.880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
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