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Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study

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Abstract

Rice is a staple and widely grown crop endowed with rich genetic diversity. As it is difficult to differentiate seeds of various rice varieties based on visual observation accurately, the harvested seeds and subsequent processed products are highly prone to adulteration with look-alike and low quality seeds by the dishonest traders. To protect the interests of importing countries and consumers, several methods have been employed over the last few decades for unambiguous discrimination of cultivars, accurate quantification of the adulterants, and for determination of cultivated geographical area. With recent advances in biotechnology, DNA based techniques evolved rapidly and proved successful over conventional non-DNA based methods to purge the problem of adulteration at commercial level. In the current review, we made an attempt to summarize the existing methods of adulteration detection and quantification in a comprehensive manner by providing Basmati as a case study to enable the traders to arrive at a quick resolution in choosing the apt method to eliminate the adulteration practice in the global rice industry.

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Abbreviations

TB:

Traditional Basmati

EB:

Evolved Basmati

NB:

Non Basmati

CE:

Capillary electrophoresis

References

  • Agrawal NS, Sinha AC (1965) In Symposium on Technology of Rice and Rice Products, American Association of Cereal Chemists (1969). Approved Methods of the AACC. Methods 28–31

  • Ahmed J, Ramaswamy H, Ayad A, Alli I (2008) Thermal and dynamic rheology of insoluble starch from basmati rice. Food Hydrocoll 22:278–287

    CAS  Google Scholar 

  • Archak S, Lakshminarayanareddy V, Nagaraju J (2007) High-throughput multiplex microsatellite marker assay for detection and quantification of adulteration in Basmati rice (Oryza sativa). Electrophoresis 28:2396–2405

    CAS  Google Scholar 

  • Arvanitoyannis IS (2008) Trends in food authentication in modern techniques for food authentication, Ed. Da-Wen Sun. Academic (Elsevier Ltd), Amsterdam, pp 617–643

    Google Scholar 

  • Ashfaq M, Khan AS (2012) Genetic diversity in Basmati rice (Oryza sativa L.) germplasm as revealed by microsatellite (SSR) markers. Genetika 48:62–71

    CAS  Google Scholar 

  • Attaviroj N, Kasemsumran S, Noomhorm A (2011) Rapid variety identification of pure rough rice by Fourier transform near infrared spectroscopy. Cereal Chem 88:490–496

    CAS  Google Scholar 

  • Baeumler S, Wulff D, Tagliani L, Song P (2006) A real-time quantitative PCR detection method specific to widestrike transgenic cotton (event 281-24-236/3006-210-23). J Agric Food Chem 54:6527–6534

    CAS  Google Scholar 

  • Beerh OP, Srinivas T (1991) Some histological factors associated with Basmati rice. Oryza 28:399–401

    Google Scholar 

  • Bergman CJ, Delgado JT, Bryant R, Grimm C, Cadwallader KR, Webb BD (2000) Rapid gas chromatographic technique for quantifying 2-acetyl-1-pyrroline and hexanal in rice (Oryza sativa, L.). Cereal Chem 77:454–458

    CAS  Google Scholar 

  • Bett-Garber KL, Champagne ET, McClung AM, Moldenhauer KA, Linscombe SD, McKenzie KS (2001) Categorizing rice cultivars based on cluster analysis of amylose content, protein content and sensory attributes. Cereal Chem 78:551–558

    CAS  Google Scholar 

  • Bhattacharjee P, Singhal RS, Kulkarni PR (2002) Basmati rice: a review. Int J Food Sci Technol 37:1–12

    CAS  Google Scholar 

  • Bhattacharya KR (1982) Rice Bran: Regional Extension Service Centre (Rice Milling) Scientific Series No. 7. Department of Food, Government of India. CFTRI, Mysore

    Google Scholar 

  • Blair MW, Hedetale V, McCouch SR (2002) Fluorescent-labeled microsatellite panels useful for detecting allelic diversity in cultivated rice (Oryza sativa L). Theor Appl Genet 105:449–457

    CAS  Google Scholar 

  • Bligh HFJ (2000) Detection of adulteration of Basmati rice with non-premium long-grain rice. Int J Food Sci Technol 35:257–265

    CAS  Google Scholar 

  • Bradbury LM, Fitzgerald TL, Henry RJ, Jin Q, Waters DL (2005) The gene for fragrance in rice. Plant Biotechnol J 3:363–370

    CAS  Google Scholar 

  • Buttery RG, Ling LC, Juliano BO, Turnbaugh JG (1983) Cooked rice aroma and 2-acetyl-1-pyrroline. J Agric Food Chem 31:823–826

    CAS  Google Scholar 

  • Cai X, Chen T, Zhou QY, Xu L, Qu LQ, Hua XJ, Lin JX (2011) Development of Casparian strip in rice cultivars. Plant Signal Behav 6:59–65

  • Carter RM, Yan Y, Tomlins K (2006) Digital imaging based classification and authentication of granular food products. Meas Sci Technol 17:235–240

    CAS  Google Scholar 

  • Chen L, Yang F, Xu J, Hu Y, Hu Q, Zhang Y, Pang G (2002) Determination of selenium concentration of rice in china and effect of fertilization of selenite and selenate on selenium content of rice. J Agric Food Chem 50:5128–5130

    CAS  Google Scholar 

  • Choudhury PR, Kohli S, Srinivasan K, Mohapatra T, Sharma RP (2001) Identification and classification of aromatic rices based on DNA fingerprinting. Euphytica 118:243–251

    CAS  Google Scholar 

  • Choudhury G, Ranjitkumar N, Malathi S, Deborah DAK, Abhilash V, Anuradha G, Siddiq EA, Vemireddy LR (2013) Molecular genetic diversity of major Indian rice cultivars over decadal periods. Plos ONE 8(6):e66197. doi:10.1371/journal.pone.0066197

    Google Scholar 

  • Coburn JR, Temnykh S, Paul E, McCouch SR (2002) Design and application of microsatellite marker panels for semiautomated genotyping of rice (Oryza sativa L). Crop Sci 42:2092–2099

    CAS  Google Scholar 

  • Colyer A, Macarthur R, Lloyd J, Hird H (2008) Comparison of calibration methods for the quantification of Basmati and non-Basmati rice using microsatellite analysis. Food Addit Contam Part A: Chem Anal Control Expo Risk Assess 25:1189–1194

    CAS  Google Scholar 

  • Dengsheng Z, Xiaoli L (2007) Determination of storage time of rice seed using ANN Based on NIRS lecture notes in computer. Sci Adv Neural Netw 4493:1043–1048

    Google Scholar 

  • Dhanya K, Sasikumar B (2010) Molecular marker based adulteration detection in traded food and agricultural commodities of plant origin with special reference to spices. Curr Trends Biotechnol Pharm 4:454–489

    CAS  Google Scholar 

  • Findlay ITA, Quirke P, Frazier R, Urquhart A (1997) DNA fingerprinting from single cells. Nature 389:555–556

    CAS  Google Scholar 

  • Gangidi RR, Proctor A, Meullenet JF (2002) Milled rice surface lipid measurement by diffuse reflectance Fourier transform infrared spectroscopy (DRIFTS). J Am Oil Chem Soc 79:7–12

    CAS  Google Scholar 

  • Ganopoulos I, Argiriou A, Tsaftaris A (2011) Adulterations in Basmati rice detected quantitatively by combined use of microsatellite and fragrance typing with high resolution melting (HRM) analysis. Food Chem 129:652–659

    CAS  Google Scholar 

  • Glaszman JC (1987) Isozymes and classification of Asian rice varieties. Theor Appl Genet 74(1):21–30

    Google Scholar 

  • Grimm CC, Bergman C, Delgado JT, Bryant R (2001) Screening for 2-Acetyl-1-pyrroline in the Headspace of Rice Using SPME/GC-MS. J Agric Food Chem 49:245–249

    CAS  Google Scholar 

  • Hamada JS (1996) Separation and molecular mass distribution of rice proteins by size-exclusion high-performance liquid chromatography in a dissociating buffer. J Chromatogr A 734:195–203

    CAS  Google Scholar 

  • Herńandez M, Esteve T, Pla M (2005) Real-time polymerase chain reaction based assays for quantitative detection of barley, rice, sunflower, and wheat. J Agric Food Chem 53:7003–7009

    Google Scholar 

  • Himmelsbach DS, Barton FE, McClung AM, Champagne ET (2001) Protein and apparent amylase contents of milled rice by NIRFT/ Raman spectroscopy. Cereal Chem 78:488–492

    CAS  Google Scholar 

  • Hirannaiah BV, Bhashyam MK, Ali SZ (2001) An improved cooking quality test for Basmati rice. J Food Sci Technol 38:116–119

    Google Scholar 

  • Huebner FR, Bietz JA, Webb BD, Juliano BO (1990) Rice cultivar identification by high performance liquid chromatography of endosperm proteins. Cereal Chem 67:129–135

    CAS  Google Scholar 

  • Jain S, Jain RK, McCouch SR (2004) Genetic analysis of Indian aromatic and quality rice (Oryza sativa L) germplasm using panels of fluorescently-labeled microsatellite markers. Theor Appl Genet 109:965–977

    CAS  Google Scholar 

  • Jha JS (1980) Spectrophotometric studies of rice bran oil and mustard oil mixtures: I. J Am Oil Chem Soc 57:283–285

    Google Scholar 

  • Kanno K, Kawamura Y, Kato K (1989) J Agric Chem 63:1207–1211

    CAS  Google Scholar 

  • Kawasaki A, Oda H, Hirata T (2002) Determination of strontium isotope ratio of brown rice for estimating its provenance. Soil Sci Plant Nutr 486:635–640

    Google Scholar 

  • Kelly S, Baxter M, Chapman S, Rhodes C, Dennis J, Brereton P (2002) The application of isotopic and elemental analysis to determine the geographical origin of premium long grain rice. Eur Food Res Technol 214:72–78

    CAS  Google Scholar 

  • Kelly S, Heaton K, Hoogewerff J (2005) Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis. Trends Food Sci Technol 16:555–567

    CAS  Google Scholar 

  • Kim SS, Jo JS, Kim YJ, Sung NK (1997) Authentication of rice by three-sided image analysis of kernels using two mirrors. Cereal Chem 74:212–215

    CAS  Google Scholar 

  • Kim SS, Rhyu MR, Kim JM, Lee SH (2003) Authentication of rice using near-infrared reflectance spectroscopy. Cereal Chem 80:346–349

    CAS  Google Scholar 

  • Lai VMF, Lu SN, He WH, Chen HH (2007) Non-starch polysaccharide compositions of rice grains with respect to rice variety and degree of milling. Food Chem 101:1205–1210

    CAS  Google Scholar 

  • Lan Y, Fang Q, Kocher MF, Hanna MA (2002) Detection of fissures in rice grains using image enhancement. Int J Food Prop 5:205–215

    Google Scholar 

  • Largo-Gosens A, Hernandez-Altamirano M, Garcia-Calvo L, Alonso-Simon A, Alvarez J, Acebes JL (2014) Fourier transform mid infrared spectroscopy applicatios for monitoring the structural plasticity of plant cell walls. Front Plant Sci. doi:10.3389/fpls.2014.00303

    Google Scholar 

  • Leimanis S, Hernandez M, Fernandez S, Boyer F, Burns M, Bruderer S, Glouden T, Harris N, Kaeppeli O, Philipp P, Pla M, Puigdomenech P, Vaitilingom M, Bertheau Y, Remacle J (2006) A microarray-based detection system for genetically modified (GM) food ingredients. Plant Mol Biol 61:123–139

    CAS  Google Scholar 

  • Li Z, Rutger JN (2000) Geographic distribution and multilocus organization of isozyme variation of rice (Oryza sativa L). Theor Appl Genet 101:379–387

    CAS  Google Scholar 

  • Li X, Bai H, Wang X, Li L, Cao Y, Wei J, Liu Y, Liu L, Gong X, Wu L, Liu S, Liu G (2011) Identification and validation of rice reference proteins for western blotting. J Exp Bot 14:4763–4772

    Google Scholar 

  • Lockley K, Bardsley RG (2008) DNA-based methods for food authentication. Trends Food Sci Technol 11:67–77

    Google Scholar 

  • Lopez SJ (2008) TaqMan based real time PCR method for quantitative detection of Basmati rice adulteration with non-Basmati rice. Eur Food Res Technol 227:619–622

    CAS  Google Scholar 

  • Lorieux M, Petrov M, Huang N, Guiderdoni E, Ghesquiere A (1996) Aroma in rice: Genetic analysis of a quantitative trait. Theor Appl Genet 93:1145–1151

    CAS  Google Scholar 

  • M¨ade D, Degner C, Grohmann L (2006) Detection of genetically modified rice: a construct-specific real-time PCR method based on DNA sequences from transgenic Bt rice. Eur Food Res Technol 224:271–278. doi:10.1007/s00217-006-0467-x

    Google Scholar 

  • Mackill DJ, Zhang Z, Redona ED, Colowit PM (1996) Level of polymorphism and genetic mapping of AFLP markers in rice. Genome 39:969–977

    CAS  Google Scholar 

  • Mao CX, Virmani SS, Kumar I (1996) Technological innovations to lower the costs of hybrid rice seed production. In: marker for fragrance genotyping in rice. Mol Breed 16:279–283

    CAS  Google Scholar 

  • Mariotti M, Sinelli N, Catenacci F, Pagani MA, Lucisano M (2009) Retrogradation behavior of milled and brown rice pastes during ageing. J Cereal Sci 49:171–177

    CAS  Google Scholar 

  • Mathure SV, Jawali N, Thengane RJ, Nadaf AB (2014) Comparative quantitative analysis of headspace volatiles and their association with BADH2 marker in non-Basmati scented, Basmati and non-scented rice (Oryza sativa L.) cultivars of India. Food Chem 142:383–391

    CAS  Google Scholar 

  • McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L). DNA Res 9:257–279

    CAS  Google Scholar 

  • Monakhova YB, Rutledge DN, Robmann A, Waiblinger, Mahler M, Ilse M, Kuballa T, Lachenmeier DW (2013) Determination of rice type by 1H NMR spectroscopy in combination with different chemometric tools. Chemometics doi:10.1002/cem.2576

  • Montalvan R, Ando A, Echeverrigaray S (1998) Use of seed protein polymorphism for discrimination of improvement level and geographic origin of upland rice cultivars. Genet Mol Biol 21:531–535

    Google Scholar 

  • Nadaf AB, Krishnan S, Wakte KV (2006) Histochemical and biochemical analysis of major aroma compound (2-acetyl-1-pyrroline) in Basmati and other scented rice (Oryza sativa L). Curr Sci 91:1533–1536

    CAS  Google Scholar 

  • Nagaraju J, Kathirvel M, Kumar RR, Siddiq EA, Hasnain SE (2002) Genetic analysis of traditional and evolved Basmati and non-Basmati rice varieties by using fluorescence-based ISSR-PCR and SSR markers. Proc Natl Acad Sci U S A 99:5836–5841

    CAS  Google Scholar 

  • Nakamura S, Ohtsubo K (2010) PCR method for the detection and identification of cultivars of rice flours used in yeast leavened breads containing both wheat and rice flours. J Cereal Sci 52:16–21

    CAS  Google Scholar 

  • Nakamura K, Akiyama H, Kawano N, Kobayashi T, Yoshimatsu K, Mano J, Kitta K, Ohmori K, Noguchi A, Kondo K, Teshima R (2013) Evaluation of real-time PCR detection methods for detecting rice products contaminated by rice genetically modified with a CpTI-KDEL-T-nos transgenic construct. Food Chem 141:2618–2624

    CAS  Google Scholar 

  • Nandakumar N, Singh AK, Sharma RK, Mohapatra T, Prabhu KV, Zaman FU (2004) Molecular fingerprinting of hybrids and assessment of genetic purity of hybrid seeds in rice using microsatellite markers. Euphytica 136:257–264

    CAS  Google Scholar 

  • Narshimulu G, Jamaloddin M, Vemireddy LR, Anuradha G, Siddiq EA (2011) Potentiality of evenly distributed hypervariable microsatellite markers in marker-assisted breeding of rice. Plant Breed 130:314–320

    CAS  Google Scholar 

  • Ohtsubo K, Nakamura S (2007) Cultivar identification of rice (Oryza sativa L.) by PCR method and its application to processed rice products. J Appl Glicosci 54:235–243

  • Ohtsubo K, Suzuki K, Haraguchi K, Nakamura S (2008) Novel method for preparation of the template DNA and selection of primers to differentiate the material rice cultivars of rice wine by PCR. J Biochem Biophys Methods 70:1020–1028

    CAS  Google Scholar 

  • Okunishi T, Nakamura S, Ohtsubo K (2005) Quantitative identification of rice cultivars by Real-Time PCR. Food Sci Technol Res 11:344–348

    CAS  Google Scholar 

  • Osborne BG, Mertens B, Thompson M, Fearn T (1993) The authentication of Basmati rice using near infrared spectroscopy. J Near Infrared Spectrosc 1:77–83

    Google Scholar 

  • Osborne BG, Mertens B, Thompson M, Fearn T (1997) The authentication of Basmati rice using near-infrared spectroscopy. J Near Infrared Spectrosc 1:77–83

    Google Scholar 

  • Pal S, Jain S, Saini N, Aarti N, Jain RK (2004) Identification of microsatellite markers for differentiating some Basmati and non-Basmati rice varieties. Indian J Biotechnol 3:519–526

    CAS  Google Scholar 

  • Pitiphunpong S, Champangern S, Suwannaporn P (2011) The Jasmine rice (KDML 105 variety) adulteration detection using physico-chemical properties. Chiang Mai J Sci 38:105–115

    CAS  Google Scholar 

  • Primrose S, Woolfe M, Rollinson S (2010) Food forensics: methods for determining the authenticity of foodstuffs. Trends Food Sci Technol 21:582–590

    CAS  Google Scholar 

  • Rahman SN, Islam MS, Nasiruddin KM (2007) Genetic polymorphism in rice (Oryza sativa L) through RAPD analysis. Indian J Biotechnol 6:224–229

    CAS  Google Scholar 

  • Rao RSP, Muralikrishna G (2004) Non-starch polysaccharide-phenolic acid complexes from native and germinated cereals and millet. Food Chem 84:527–531

    CAS  Google Scholar 

  • Rittiron R, Saranwong S, Kawano S (2005) Detection of variety contamination in milled Japanese rice using a single kernel near infrared technique in transmittance mode. J Near Infrared Spectrosc 13:19–25

    CAS  Google Scholar 

  • Saini N, Jain N, Jain S, Jain RK (2004) Assessment of genetic diversity within and among Basmati and non-Basmati rice varieties using AFLP, ISSR and SSR markers. Euphytica 140:133–146

    CAS  Google Scholar 

  • Shen F, Yang D, Ying Y, Li B, Zheng Y, Jiang T (2010) Discrimination between Shaoxing wines and other Chinese rice wines by near-infrared spectroscopy and chemometrics. Food Bioprocess Technology doi:10.1007/s11947-010-0347-z

  • Shirasawa K, Shiokai S, Yamaguchi M, Kishitani S, Nishio T (2006) Dot-blot-SNP analysis for practical plant breeding and cultivar identification in rice. Theor Appl Genet 113:147–155

    CAS  Google Scholar 

  • Siddiq EA (1982) Breeding for quality improvement in rice-present state and strategy for the future. In: Golden Jubilee Symposium on increase in the Productivity of Rice, Rice Research Stations, Chinsurah and Ban Kura, West Bengal, India

  • Siddiq EA, Nerkar YS, Mehta SL (1972) Intra and inter subspecific variation in soluble proteins of Oryza sativa L. Theor Appl Genet 42(8):351–356, 31. XII

    CAS  Google Scholar 

  • Siddiq EA, Vemireddy LR, Nagaraju J (2012) Basmati Rices: Genetics, Breeding and Trade. Agric Res 1(1):25–36 doi:10.1007/s40003-011-0011-5

  • Singh RK, Sharma RK, Singh AK, Singh VP, Singh NK, Tiwari SP, Mohapatra T (2004) Suitability of mapped sequence tagged microsatellite site markers for establishing distinctness, uniformity and stability in aromatic rice. Euphytica 135:135–143

    CAS  Google Scholar 

  • Singhal RS, Kulkarni PR, Rege DV (1997) Handbook of indices of food quality and authenticity. Woodhead Publishing Limited, Cambridge

    Google Scholar 

  • Siwach P, Jain S, Saini N, Chowdhury VK, Jain RK (2004) Allelic diversity among Basmati and non-Basmati long-grain Indica rice varieties using microsatellite markers. J Plant Biochem Biotechnol 13:25–32

    CAS  Google Scholar 

  • Sood BC, Siddiq EA (1978) A rapid technique for scent determination in rice. Indian J Genet Plant Breed 38:268–271

    Google Scholar 

  • Spaniolas S, May ST, Bennett MJ, Tucker GA (2006) Authentication of coffee by means of PCR-RFLP analysis and lab-on-a-chip capillary electrophoresis. J Agric Food Chem 54:7466–7470

    CAS  Google Scholar 

  • Srikumar TS (1993) The mineral and trace element composition of vegetables, pulses and cereals of southern India. Food Chem 46:163–167

    CAS  Google Scholar 

  • Sriseadka T, Wongpornchai S, Kitsawatpaiboon P (2006) Rapid method for quantitative analysis of the aroma impact compound, 2-acetyl-1-pyrroline, in fragrant rice using automated headspace gas chromatography. J Agric Food Chem 54:8183–8189

    CAS  Google Scholar 

  • Srividhya A, Vemireddy LR, Hariprasad AS, Jayaprada M, Sridhar S, Ramanarao P, Anuradha G, Siddiq EA (2010) Identification and mapping of landrace derived QTL associated with yield and its components in rice under different nitrogen levels and environments. Int J Plant breed Genet 4(4):210–227

  • Steele KA, Ogden R, McEwing R, Briggs H, Gorham J (2008) InDel markers distinguish Basmatis from other fragrant rice varieties. Field Crop Res 105:81–87

    Google Scholar 

  • Storck CR, Picolli da Silva L, Fagundes CA (2005) Categorizing rice cultivars based on differences in chemical composition. J Food Compos Anal 18:333–341

    CAS  Google Scholar 

  • Sundaram RM, Naveenkumar B, Biradar SK, Balachandran SM, Mishra B, IlyasAhmed M, Viraktamath BC, Ramesha MS, Sarma NP (2008) Identification of informative SSR markers capable of distinguishing hybrid rice parental lines and their utilization in seed purity assessment. Euphytica 163:215–224

    Google Scholar 

  • Suzuki Y, Ise K, Li C, Honda I, Iwai Y, Matsukura U (1999) Volatile components in stored rice [oryza sativa (L.)] of varieties with and without lipoxygenase-3 in seeds. J Agric Food Chem 47:1119–1124

    CAS  Google Scholar 

  • Suzuki Y, Chikaraishi Y, Ogawa NO, Ohkouchi N, Korenaga T (2008) Geographical origin of polished rice based on multiple element and stable isotope analyses. Food Chem 109:470–475

    CAS  Google Scholar 

  • Tang T, Huang J, Zhong Y, Shi S (2004) High-throughput S-SAP by fluorescent multiplex PCR and capillary electrophoresis in plants. J Biotechnol 114:59–68

    CAS  Google Scholar 

  • Thind GK, Sogi DS (2005) Identification of coarse (IR-8), fine (PR-106) and superfine (Basmati-386) rice cultivars. Food Chem 91:227–233

    CAS  Google Scholar 

  • Vaingankar NM, Kulkarni PR (1989) A cooking quality parameter as an indicator of adulteration of Basmati rice. J Sci Food Agric 48:381–384

    Google Scholar 

  • Vemireddy LR, Archak S, Nagaraju J (2007) Capillary electrophoresis is essential for microsatellite marker based detection and quantification of adulteration of Basmati rice (Oryza sativa). J Agric Food Chem 55:8112–8117

    CAS  Google Scholar 

  • Vemireddy LR, Ranjithkumar N, Vipparla A, Surapaneni M, Choudhary G, Sudhakarrao KV, Siddiq EA (2014) Molecular profiling of major indian rice cultivars using a set of eight hypervariable microsatellite markers. Cereal Res Commun (epub)

  • Vlachos A, Arvanitoyannis IS (2008) A review of rice authenticity/adulteration methods and results. Crit Rev Food Sci Nutr 48:553–598

    Google Scholar 

  • Voorhuijzen MM, van Dijk JP, Prins TW, Van Hoef AM, Seyfarth R, Kok EJ (2012) Development of a multiplex DNA-based traceability tool for crop plant materials. Anal Bioanal Chem 402:693–701

    CAS  Google Scholar 

  • Widjaja R, Craske JD, Wootton M (1996) Changes in volatile components of paddy, brown and white fragrant rice during storage. J Sci Food Agric 71:218–224

    CAS  Google Scholar 

  • Woolfe M, Primrose S (2004) Food forensics: using DNA technology to combat misdescription and fraud. Review. Trends Biotechnol 22:222–226

    CAS  Google Scholar 

  • Xue X, Wang Q, Li Y, Wu L, Chen L, Zhao J, Liu F (2013) 2-Acetylfuran-3-glucopyranoside as a novel marker for the detection of honey adulterated with rice syrup. J Agric Food Chem 61:7488–7493

    CAS  Google Scholar 

  • Yadav S, Singh A, Singh MR, Goel N, Vinod KK, Mohapatra T, Singh AK (2013) Assessment of genetic diversity in Indian rice germplasm (Oryza sativa L.): use of random versus trait-linked microsatellite markers. J Genet 92:545–557

    CAS  Google Scholar 

  • Yashui A, Shindoh K (2000) Determination of the geographic origin of brown-rice with trace-element composition. Bunseki Kagaku 49:405–410

    Google Scholar 

  • Yu H, Zhou Y, Fu X, Xie L, Ying Y (2007) Discrimination between Chinese rice wines of different geographical origins by NIRS and AAS. Eur Food Res Technol 225:313–320

    CAS  Google Scholar 

  • Zhang Q, Maroof MA, Lu TY, Shen BZ (1992) Genetic diversity and differentiation of indica and japonica rice detected by RFLP analysis. Theor Appl Genet 83:495–499

    CAS  Google Scholar 

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Vemireddy, L.R., Satyavathi, V.V., Siddiq, E.A. et al. Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study. J Food Sci Technol 52, 3187–3202 (2015). https://doi.org/10.1007/s13197-014-1579-0

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