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      분광분석법을 이용한 형질전환 작물 판별 기술 현황 = Current Status of GM Crop Discrimination Technology Using Spectroscopy

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      https://www.riss.kr/link?id=A107072636

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      BACKGROUND: This paper describes the successful discrimination of GM crops from the respective wild type (WT) controls using spectroscopy and chemometric analysis. Despite the many benefits that GM crops, their development has raised concerns, particu...

      BACKGROUND: This paper describes the successful discrimination of GM crops from the respective wild type (WT) controls using spectroscopy and chemometric analysis. Despite the many benefits that GM crops, their development has raised concerns, particularly about their potential negative effects on food productionand the environment. From this point of view, the introduction of GM crops into the market requires the development of rapid and accurate identification technologies to ensure consumer safety.
      METHODS AND RESULTS: The development of a GM crop discrimination model using spectroscopy involved the pre-processing ofthe collected spectral information, the selection of a discriminant model, and the verification of errors. Examples of GM versus WT discrimination using spectroscopy are available for soybeans, tomatoes, corn, sugarcane, soybean oil, canola oil, rice, and wheat. Here, we found that not only discrimination but also cultivar grouping was possible.
      CONCLUSION: Since for the determination of GM crop there is no pre-defined pre-processing method or calibration model, it is extremely important to select the appropriate ones to increase the accuracy in a case-by-case basis.

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      참고문헌 (Reference)

      1 Xie L, 584 (584): 379-384, 2007

      2 오세종, "근적외선 분광광도계를 이용한 벼 유전자원 아밀로스 및 단백질함량분석을 위한 모델개발" 한국자원식물학회 30 (30): 38-49, 2017

      3 Jiang JH, "Wavelength interval selection in multicomponent spectral analysis by moving window partial least- squares regression with applications to mid-infrared and nearinfrared spectroscopic data" 74 (74): 3555-3565, 2002

      4 Chen H, "Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods" 107 (107): 139-146, 2011

      5 Tao P, "Waveband optimization for near-infrared spectroscopic analysis of total nitrogen in soil" 40 (40): 920-924, 2012

      6 Guo H, "Vis-NIR wavelength selection for non-destructive discriminant analysis of breed screening of transgenic sugarcane" 6 (6): 8810-8816, 2014

      7 Dissing BS, "Using multispectral imaging for spoilage detection of pork meat" 6 (6): 2268-2279, 2013

      8 Dhanoa MS, "The link between multiplicative scatter correction (MSC) and standard normal variate (SNV) transformations of NIR spectra" 2 (2): 43-47, 1994

      9 Zhu S, "Study on rapid identification methods of transgenic rapeseed oil based on near infrared spectroscopy" Springer 633-640, 2010

      10 Barnes RJ, "Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra" 43 (43): 772-777, 1989

      1 Xie L, 584 (584): 379-384, 2007

      2 오세종, "근적외선 분광광도계를 이용한 벼 유전자원 아밀로스 및 단백질함량분석을 위한 모델개발" 한국자원식물학회 30 (30): 38-49, 2017

      3 Jiang JH, "Wavelength interval selection in multicomponent spectral analysis by moving window partial least- squares regression with applications to mid-infrared and nearinfrared spectroscopic data" 74 (74): 3555-3565, 2002

      4 Chen H, "Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods" 107 (107): 139-146, 2011

      5 Tao P, "Waveband optimization for near-infrared spectroscopic analysis of total nitrogen in soil" 40 (40): 920-924, 2012

      6 Guo H, "Vis-NIR wavelength selection for non-destructive discriminant analysis of breed screening of transgenic sugarcane" 6 (6): 8810-8816, 2014

      7 Dissing BS, "Using multispectral imaging for spoilage detection of pork meat" 6 (6): 2268-2279, 2013

      8 Dhanoa MS, "The link between multiplicative scatter correction (MSC) and standard normal variate (SNV) transformations of NIR spectra" 2 (2): 43-47, 1994

      9 Zhu S, "Study on rapid identification methods of transgenic rapeseed oil based on near infrared spectroscopy" Springer 633-640, 2010

      10 Barnes RJ, "Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra" 43 (43): 772-777, 1989

      11 Sternberg JC, "Spectrophotometric analysis of multicomponent systems using the least squares method in matrix form. Ergosterol irradiation system" 32 (32): 84-90, 1960

      12 Du YP, "Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares" 501 (501): 183-191, 2004

      13 Wold S, "Soft modeling by latent variables; the non-linear iterative partial least squares(NIPALS)approach" 12 (12): 117-142, 1975

      14 Savitzky A, "Smoothing and identification of data by simplified least squares procedure" 36 (36): 1627-1639, 1964

      15 Luo J, "Savitzky-Golay smoothing and differentiation filter for even number data" 85 (85): 1429-1434, 2005

      16 James D, "Reliable detection and identification of genetically modified maize, soybean, and canola by multiplex PCR analysis" 51 (51): 5829-5834, 2003

      17 Bajai S, "Recent advances in rice biotechnology-Towards genetically superior transgenic rice" 3 (3): 275-307, 2005

      18 Pan T, "Rapid determination of preliminary thalassaemia screening indicators based on near-infrared spectroscopy with wavelength selection stability" 5 (5): 4355-4362, 2013

      19 Pan T, "Rapid determination of preliminary thalassaemia screening indicators based on near infrared spectroscopy with wavelength selection stability" 5 (5): 4355-4362, 2013

      20 Luna AS, "Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy" 100 : 115-119, 2013

      21 Obeid PJ, "Rapid analysis of genetically modified organisms by inhouse developed capillary electrophoresis chip and laser-induced fluorescence system" 25 (25): 922-930, 2004

      22 Hübner P, "Quantitative competitive PCR for the detection of genetically modified organisms in food" 10 (10): 353-358, 1999

      23 Peng Y, "Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images" 82 : 142-152, 2007

      24 Zhang JH, "Predicting nitrogen status of rice using multispectral data at canopy scale" 16 (16): 108-117, 2006

      25 Sun X, "Predicting beef tenderness using color and multispectral image texture features" 92 (92): 386-393, 2012

      26 Kalivas JH, "Practical guide to chemometrics" CRC Taylor & Francis 105-166, 2006

      27 Brunnert HJ, "PCR-ELISA for the CaMV-35S promoter as a screening method for genetically modified Roundup Ready spybeans" 213 (213): 366-371, 2001

      28 Fearn T, "On the geometry of SNV and MSC" 96 (96): 22-26, 2009

      29 Despagne F, "Neural networks in multivariate calibration" 123 (123): 157R-178R, 1998

      30 Chung HI, "Near-infrared spectroscopy:principles" 13 (13): 1001-1014, 2000

      31 Pan T, "Near-infrared spectroscopy with waveband selection stability for the determination of COD in sugar refinery wastewater" 4 (4): 1046-1052, 2012

      32 Williams P, "Near-Infrared technology in agricultural and food industries" American Association of Cereal Chemists, Inc 330-, 1987

      33 Clarke MA, "Near infrared analysis in the sugarcane factory" Sugary Azucar Press at Ruspam Communication Inc 244-264, 1992

      34 Kim YB, "NIRS for food analysis(I)" 9 (9): 24-37, 1996

      35 Lu R, "Multispectral imaging for predicting firmness and soluble solids content of apple fruit" 31 (31): 147-157, 2004

      36 Dissing BS, "Multispectral imaging for determination of astaxanthin concentration in salmonids" 6 (6): e19032-, 2011

      37 Lleó L, "Multispectral images of peach related to firmness and maturity at harvest" 93 (93): 229-235, 2009

      38 Kim MS, "Multispectral detection of fecal contamination on apples based on hyperspectral imagery:Part I. Application of visible and near-infrared reflectance imaging" 45 (45): 2027-2037, 2002

      39 Zhang H, "Measurement of rice leaf chlorophyll and seed nitrogen contents by using multispectral imagine" 5 : 555-558, 2008

      40 Liu G, "Liquid-phase hybridization based PCR-ELISA for detection of genetically modified organisms in food" 15 (15): 303-306, 2004

      41 Geladi P, "Linearization and scatter-correction for near-infra red reflectance spectra of meat" 39 (39): 491-500, 1985

      42 Mangasarian OL, "Lagrangian Support Vector Machines" 1 : 161-177, 2001

      43 Xie J, "Joint optimization of Savitzky-Golay smoothing models and partial least squares factors for near infrared spectroscopic analysis of serum glucose" 38 : 342-346, 2010

      44 Huang J, "Insect-resistant GM rice in farmer’fields: Assessing productivity and health effects in China" 308 (308): 688-690, 2005

      45 Rinnan Å, "Infrared spectroscopy for food quality analysis and control" Elsevier Inc 38-39, 2009

      46 Peng Y, "Improving apple fruit firmness predictions by effective correction of multispectral scattering images" 41 (41): 266-274, 2006

      47 Hao Y, "Identification of rice varieties and transgenic characteristics based on near-infrared diffuse reflectance spectroscopy and chemometrics" 24 (24): 4568-, 2019

      48 Gowen, AA, "Hyperspectral imaging-an emerging process analytical tool for food quality and safety control" 18 (18): 590-598, 2007

      49 Aluru M, "Generation of transgenic maize with enhanced provitamin A content" 59 (59): 3551-3562, 2008

      50 Lu BR, "Gene flow from genetically modified rice and its environmental consequences" 55 (55): 669-678, 2005

      51 Wang J, "From DNA biosensors to gene chips" 28 (28): 3011-3016, 2000

      52 van Rensburg JBJ, "First report of field resistance by the stem borer, Busseola fusca (Fuller) to Bttransgenic maize" 24 (24): 147-151, 2007

      53 Zimmermann A, "Event specific transgene detection in Bt11 corn by quantitative PCR at the integration site" 33 (33): 210-216, 2000

      54 Purwanto YA, "Effects of preprocessing techniques in developing a calibration model for soluble solid and acidity in ‘Gedong Gincu’ mango using NIR spectroscopy" 7 (7): 1921-1927, 2015

      55 García-Molina MD, "Effective identification of low-gliadin wheat lines by near infrared spectroscopy (NIRS): Implications for the development and analysis of foodstuffs suitable for celiac patients" 11 (11): e0152292-, 2016

      56 Agapito-Tenfen SZ, "Effect of stacking insecticidal cry and herbicide tolerance epsps transgenes on transgenic maize proteome" 14 (14): 346-, 2014

      57 Xie L, "Discrimination of transgenic tomatoes based on visible/nearinfrared spectra" 584 (584): 379-384, 2007

      58 Liu W, "Discrimination of transgenic soybean seeds by terahertz spectroscopy" 6 : 35799-, 2016

      59 Feng X, "Discrimination of transgenic maize kernel using NIR hyperspectral imaging and multivariate data analysis" 17 (17): 1894-, 2017

      60 Jastrzȩbska A, "Determination of phosphorus in food samples by Xray fluorescence spectrometry and standard spectrophotometric method" 83 (83): 463-467, 2003

      61 Abrams SM, "Determination of forage quality by nearinfrared reflectance spectroscopy: Efficiency of broad based calibration equations" 70 (70): 806-813, 1987

      62 Liu Z, "Determination of amino acid nitrogen in tuber mustard using nearinfrared spectroscopy with waveband selection stability" 102 : 269-274, 2013

      63 Kobayashi T, "Detection of rice panicle blast with multispectral radiometer and the potential of using airborne multispectral scanners" 91 (91): 316-323, 2001

      64 Lafargue ME, "Detection of heterogeneous wheat samples using near infrared spectroscopy" 11 (11): 109-121, 2003

      65 Qin Z, "Dectection of rice sheath blight for in-season disease management using multispectral remote sensing" 7 (7): 115-128, 2005

      66 Shiferaw B, "Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security" 3 (3): 307-, 2011

      67 Muniz R, "Comparison of principal component regression (PCR) and partial least suare (PLS) methods in prediction of raw milk composition by VIS-NIR spectrometry. Application to development of on-line sensors for fat, protein and lactose contents" 2564-2668, 2009

      68 Naes T, "Comparison of linear statistical methods for calibration of NIR instruments" 35 (35): 195-206, 1986

      69 Chen J, "Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions" 76 (76): 5405-5413, 2004

      70 Løkke MM, "Color and textural quality of packaged wild rocket measured by multispectral imaging" 75 : 86-95, 2013

      71 Taverniers I, "Cloned plasmid DNA fragments as calibrators for controlling GMOs: Diferent real-time duplex quantitative PCR methods" 378 (378): 1198-1207, 2004

      72 Mannelli I, "Bulk acoustic wave affinity biosensor for genetically modified organisms detection" 3 (3): 369-375, 2003

      73 Guiseppi-Elie A, "Biochip platforms for DNA diagnostics" 12 : 41-47, 2001

      74 Hof M, "Basics of optical spectroscopy" 1 : 39-47, 2003

      75 Alcantara GB, "Assessment of genetically modified soybean crops and different cultivars by Fourier transform infrared spectroscopy and chemometric analysis" 2 (2): 41-52, 2010

      76 Feng YZ, "Application of hyperspectral imaging in food safety inspection and control: A review" 52 (52): 1039-1058, 2012

      77 Redig P, "Analysis of cytokinin metabolism in ipt transgenic tobacco by liquid chromatography-tandem mass spectrometry" 112 (112): 141-148, 1996

      78 Davies AMC, "An introduction to near infrared spectroscopy" 16 (16): 9-11, 2005

      79 Ariizumi T, "An increase in unsaturation of fatty acids in phosphatidylglycerol from leaves improves the rates of photosynthesis and growth at low temperatures in transgenic rice seedlings" 43 (43): 751-758, 2002

      80 Leimanis S, "A microarray-based detection system for genetically modified(GM) food ingredients" 61 (61): 123-139, 2006

      81 Hammateenejad B, "A comparative study between PCR and PLS in simultaneous spectrophotometric determination of dophenylamine, aniline, and phenol: Effects of wavelength selection" 67 (67): 958-965, 2007

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