Advances of infrared spectroscopic imaging and mapping technologies of plant material

Current Bioactive Compounds

Volumn 7, Issue 2, 2011, Pages 106-117

  Pallua, J D ^a   Pezzei, C ^a   Huck Pezzei, V ^a   Schonbichler S A ^a   Bittner, L K ^a   Bonn, G K ^a   Saeed, A ^b   Majeed, S ^b   Farooq, A ^b   Najam ul Haq, M ^b   Abel, G ^c   Popp, M ^c   Huck, C W ^a  

^a UNIVERSITY OF INNSBRUCK   (Austria)

^b BAHAUDDIN ZAKARIYA UNIVERSITY   (Pakistan)

^c Bionorica AG   (Germany)

Author keywords

Data processing; Hyper spectral imaging; Instrumentation; Phytomics; Reflection; Tissue; Transmission

Indexed keywords

ANALYTIC METHOD; ARTICLE; CHEMOMETRICS; COVALENT BOND; INFRARED SPECTROSCOPY; INSTRUMENTATION; MICROSCOPY; MOLECULAR IMAGING; NONHUMAN; PHYTOCHEMISTRY; PLANT; PRIORITY JOURNAL; RADIATION ABSORPTION; URTICA DIOICA; VIBRATION;

EID: 79959352315     PISSN: 15734072     EISSN: 18756646     Source Type: Journal    
DOI: 10.2174/157340711796011179     Document Type: Article

References (74)

1. Fiehn, O., Kopka, J., Dörmann, P., Altmann, T., Trethewey, R.N., Willmitzer, L. Metabolite profiling for plant functional genomics. Nat. Biotechnol., 2000, 18, 1157-1161.
2. Chaurand, P., Stoeckli, M., Caprioli, R.M. Direct profiling of proteins in biological tissue sections by MALDI mass spectrometry. Anal. Chem., 1999, 71, 5263-5270.
3. Talaty, N., Takáts, Z., Cooks, R.G. Rapid in situ detection of alkaloids in plant tissue under ambient conditions using desorption electrospray ionization. Analyst, 2005, 130, 1624-1633.
4. Baldi, A., Romani, A., Mulinacci, N., Vincieri, F.F., Casetta, B. HPLC/MS Application to anthocyanins of Vitis vinifera L. J. Agric. Food Chem., 1995, 43, 2104-2109.
5. Jander, G., Norris, S.R., Joshi, V., Fraga, M., Rugg, A., Yu, S., Li, L., Last, R.L. Application of a high throughput HPLC MS/MS assay to Arabidopsis mutant screening; evidence that threonine aldolase plays a role in seed nutritional quality. Plant J., 2004, 39, 465-475.
6. Akhtar, M., Blanchette, R.A., Burnes, T.A. Using Simons stain to predict energy savings during biomechanical pulping. Wood Fiber Sci., 1995, 27, 258-264.
7. Srebotnikand, E., Messner, K. A simple method that uses differential staining and light microscopy to assess the selectivity of wood delignification by white rot fungi. Appl. Environ. Microbiol., 1994, 60, 1383.
8. Vazquez-Coozand, I., Meyer, R.W. A differential staining method to identify lignified and unlignified tissues. Biotech. Histochem., 2002, 77, 277-282.
9. Drnovsekand, T., Perdih, A. Selective staining as a tool for wood fibre characterization. Dyes Pigments, 2005, 67, 197-206.
10. Bhargava, R., Fernandez, D.C., Hewitt, S.M., Levin, I.W. High throughput assessment of cells and tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data. Biochim. Biophys. Acta, 2006, 1758, 830-845.
11. Fernandez, D.C., Bhargava, R., Hewitt, S.M., Levin, I.W. Infrared spectroscopic imaging for histopathologic recognition. Nat. Biotechnol., 2005, 23, 469-474.
12. Steinerand, G., Koch, E. Trends in Fourier transform infrared spectroscopic imaging. Anal. Bioanal. Chem., 2009, 394, 671-678.
13. Wood, B.R., Quinn, M.A., Tait, B., Ashdown, M., Hislop, T., Romeo, M., McNaughton, D. FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies. Biospectroscopy, 1998, 4, 75-91.
14. Romeo, M., Burden, F., Quinn, M., Wood, B., McNaughton, D. Infrared microspectroscopy and artificial neural networks in the diagnosis of cervical cancer. Cell. Mol. Biol., 1998, 44, 179-187.
15. Hirschmugl, C.J., Bayarri, Z.E., Bunta, M., Holt, J.B., Giordano, M. Analysis of the nutritional status of algae by Fourier transform infrared chemical imaging. Infrared Phys. Technol., 2006, 49, 57-63.
16. Giordano, M., Kansiz, M., Heraud, P., Beardall, J., Wood, B., McNaughton D. Fourier transform infrared spectroscopy as a novel tool to investigate changes in intracellular macromolecular pools in the marine microalga Chaetoceros muellerii (Bacillariophyceae). J. Phycol. 2001, 37, 271-279.
17. McCann, M.C., Bush, M., Milioni, D., Sado, P., Stacey, N.J., Catchpole, G., Defernez, M., Carpita, N.C., Hofte, H., Ulvskov, P. Approaches to understanding the functional architecture of the plant cell wall. Phytochemistry, 2001, 57, 811-821.
18. Heraud, P., Caine, S., Sanson, G., Gleadow, R., Wood, B.R., McNaughton, D. Focal plane array infrared imaging: a new way to analyse leaf tissue. New Phytol., 2007, 173, 216-225.
19. Yu, P., McKinnon, J.J., Christensen, C.R., Christensen, D.A. Imaging molecular chemistry of pioneer corn. J. Agric. Food Chem., 2004, 52, 7345-7352.
20. Mills, E.N.C., Parker, M.L., Wellner, N., Toole, G., Feeney, K., Shewry, P.R. Chemical imaging: the distribution of ions and molecules in developing and mature wheat grain. J. Cereal Sci., 2005, 41, 193-201.
21. Kocand, H., Wetzel, D. Imaging local chemical microstructure of germinated wheat with synchrotron infrared microspectroscopy. Spectroscopy, 2008, 22, 24-32.
22. Xing, J., Bravo, C., Moshou, D., Ramon, H., De Baerdemaeker, J. Bruise detection on 'Golden Delicious' apples by vis/NIR spectroscopy. Computers Electron. Agric., 2006, 52, 11-20.
23. Xing, J., Saeys, W., De Baerdemaeker, J. Combination of chemometric tools and image processing for bruise detection on apples. Computers Electron. Agric., 2007, 56, 1-13.
24. Labbe, N., Rials, T.G., Kelley, S.S., Cheng, Z.M., Kim, J.Y., Li, Y. FT-IR imaging and pyrolysis-molecular beam mass spectrometry: new tools to investigate wood tissues. Wood Sci. Technol., 2005, 39, 61-76.
25. Messerschmidtand, R. Sting, D. Microscope having dual remote image masking. US Patents 4877960, 1989.
26. Lewis, E., Treado, P., Reeder, R., Story, G., Dowrey, A., Marcott, C., Levin, I. Fourier transform spectroscopic imaging using an infrared focal-plane array detector. Anal. Chem., 1995, 67, 3377-3381.
27. Lewisand, E., Levin, I. Real-time, mid-infrared spectroscopic imaging microscopy using indium antimonide focal-plane array detection. Appl. Spectrosc., 1995, 49, 672-678.
28. Salzerand, R., Siesler, H.W. Infrared And Raman Spectroscopic Imaging, Germany: Wiley-VCH Publishers, 2009.
29. Gendrin, C., Roggo, Y., Collet, C. Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review. J. Pharm. Biomed. Anal., 2008, 48, 533-553.
30. Siebertand, F., Hildebrandt, P. Vibrational Spectroscopy In Life Science, Germany: Wiley-VCH Verlagsgesellschaft Mbh, 2008.
31. Fabianand, H., Naumann, D. Methods to study protein folding by stopped-flow FT-IR. Methods, 2004, 34, 28-40.
32. Malins, D.C., Hellström, K.E., Anderson, K.M., Johnson, P.M., Vinson, M.A. Antioxidant-induced changes in oxidized DNA. Proc. Natl. Acad. Sci., 2002, 99, 5937.
33. Petiboisand, C., Déléris, G. Evidence that erythrocytes are highly susceptible to exercise oxidative stress: FT-IR spectrometric studies at the molecular level. Cell Biol. Int., 2005, 29, 709-716.
34. Laschand, P., Naumann, D. FT-IR microspectroscopic imaging of human carcinoma thin sections based on pattern recognition techniques. Cel. Mol. Biol., 1998, 44, 189-202.
35. Lasch, P., Haensch, W., Naumann, D., Diem, M. Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis. Biochem. Biophys. Acta (BBA)-Molecular Basis of Disease, 2004, 1688, 176-186.
36. Petiboisand, C., Déléris, G. Chemical mapping of tumor progression by FT-IR imaging: towards molecular histopathology. Trends Biotechnol., 2006, 24, 455-462.
37. Bart, J.C.J. Plastics additives: advanced industrial analysis, Ios Pr Inc, 2006.
38. Bhargavaand, R., Levin, I. Spectrochemical Analysis Using Infrared Multichannel Detectors, USA: Wiley-Blackwell, 2005.
39. Paschalis, E.P., Shane, E., Lyritis, G., Skarantavos, G., Mendelsohn, R., Boskey, A.L. Bone fragility and collagen crosslinks. J. Bone Mineral Res., 2004, 19, 2000-2004.
40. Chanand, K.L.A., Kazarian, S.G. Macro FTIR imaging in transmission under a controlled environment. Vib. Spectrosc., 2006, 42, 130-134.
41. Laschand, P., Naumann, D. Spatial resolution in infrared microspectroscopic imaging of tissues. Biochim. Biophys. Acta, 2006, 1758, 814-829.
42. Krafft, C., Shapoval, L., Sobottka, S.B., Geiger, K.D., Schackert, G., Salzer, R. Identification of primary tumors of brain metastases by SIMCA classification of IR spectroscopic images. Biochim. Biophys. Acta (BBA)-Biomembranes, 2006, 1758, 883-891.
43. Pivonka, D.E., Chalmers, J.M., Griffiths, P.R. Applications Of Vibrational Spectroscopy In Pharmaceutical Research And Development, USA: Wiley, 2007.
44. Gowen, A.A., O'Donnell, C.P., Cullen, P.J., Downey, G., Frias, J.M. Hyperspectral imaging-an emerging process analytical tool for food quality and safety control. Trends Food Sci. Technol., 2007, 18, 590-598.
45. Daffara, C., Pampaloni, E., Pezzati, L., Barucci, M., Fontana, R. Scanning multispectral ir reflectography SMIRR: an advanced tool for art diagnostics. Acc. Chem. Res., 43, 847-856.
46. Pierna, J.A., Baeten, V., Renier, A.M., Cogdill, R.P., Dardenne, P. Combination of support vector machines (SVM) and near infrared (NIR) imaging spectroscopy for the detection of meat and bone meal (MBM) in compound feeds. J. Chemom., 2004, 18, 341-349.
47. Dubois, J., Wolff, J.C., Warrack, J.K., Schoppelrei, J., Lewis, E.N. NIR chemical imaging for counterfeit pharmaceutical products analysis. Spectroscopy, 2007, 22, 40-50.
48. Clarke, F. Extracting process-related information from pharmaceutical dosage forms using near infrared microscopy. Vib. Spectrosc., 2004, 34, 25-35.
49. Geladi, P. Techniques And Applications of Hyperspectral Image Analysis, USA: Wiley, 2007.
50. Vandeginste, B., Massart, D., Buydens, L., De Jong, S., Lewi, P., Smeyers-Verbeke, J. Handbook Of Chemometrics And Qualimetrics, Elsevier: Amsterdam, 1998.
51. Næs, T., Isaksson, T., Fearn, T., Davies, T. A User-Friendly Guide to Multivariate Calibration and Classification, NIR Publications: Chichester, UK, 2002, pp. 221-259
52. Esbensen, K., Guyot, D., Westad, F., Houmøller, L. Multivariate data analysis: in practice: an introduction to multivariate data analysis and experimental design, Multivariate Data Analysis, 2002.
53. Lasch, P., Beekes, M., Schmitt, J., Naumann, D. Biomedical Vibrational Spectroscopy, Wiley: USA, 2007.
54. de Oliveira, J., Pedrycz, W., Corporation, E. Advances In Fuzzy Clustering And Its Applications, Wiley Online Library, 2007.
55. Lasch, P., Haensch, W., Naumann, D., Diem, M. Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis. Biochim. Biophys. Acta, 2004, 1688, 176-186.
56. Pezzei, C., Pallua, J., Schaefer, G., Seifarth, C., Huck-Pezzei, V., Bittner, L., Klocker, H., Bartsch, G., Bonn, G., Huck, C. Characterization of normal and malignant prostate tissue by Fourier transform infrared microspectroscopy. Mol. BioSyst. 2010, 6, 2287-2295
57. Schut, A.G.T., Ketelaars, J., Meuleman, J., Kornet, J.G., Lokhorst, C. Novel imaging spectroscopy for grass sward characterisation. Imaging spectroscopy for characterisation of grass swards:9.
58. Yang, C., Everitt, J.H., Mao, C. A hyperspectral imaging system for agricultural applications, 2001.
59. Cheng, X., Chen, Y.R., Tao, Y., Chan, D., Wang, C.Y. Hyperspectral imaging and feature extraction methods in fruit and vegetable defect inspection.
60. Kawamura, S., Natsuga, M., Takekura, K., Itoh, K. Development of an automatic rice-quality inspection system. Computers Electron. Agric., 2003, 40, 115-126.
61. Kavdirand, I., Guyer, D.E. Apple sorting using artificial neural networks and spectral imaging.
62. Hamid Muhammedand, H., Larsolle, A. Feature vector based analysis of hyperspectral crop reflectance data for discrimination and quantification of fungal disease severity in wheat. Biosyst. Eng., 2003, 86, 125-134.
63. Naumann, A., Navarro-González, M., Peddireddi, S., Kües, U., Polle, A. Fourier transform infrared microscopy and imaging: detection of fungi in wood. Fungal Genet. Biol., 2005, 42, 829-835.
64. Kavdir, I., Lu, R., Ariana, D., Ngouajio, M. Visible and nearinfrared spectroscopy for nondestructive quality assessment of pickling cucumbers. Postharvest Biol. Technol., 2007, 44, 165-174.
65. Ridgway, C., Davies, E., Chambers, J., Mason, D., Bateman, M. Rapid machine vision method for the detection of insects and other particulate bio-contaminants of bulk grain in transit. Biosyst. Eng., 2002, 83, 21-30.
66. Ridgwayand, C., Chambers, J. Detection of insects inside wheat kernels by NIR imaging. J. Near Infrared Spectrosc., 1998, 6, 115-120.
67. Ridgway, C., Davies, R., Chambers, J. Imaging for the high-speed detection of pest insects and other contaminants in cereal grain in transit. 2001 ASAE Annual Meeting, 2001, Paper number 013056
68. Wetzel, D. Microbeam molecular spectroscopy of biological materials. Dev. Food Sci., 1995, 37, 2039-2108.
69. Wetzel, D., Eilert, A., Pietrzak, L., Miller, S., Sweat, J. Ultraspatially-resolved synchrotron infrared microspectroscopy of plant tissue in situ. Cell. Mol. Biol., 1998, 44, 145.
70. Himmelsbach, D.S., Khalili, S., Akin, D.E. FT-IR microspectroscopic imaging of flax (Linum usitatissimum L.) stems. Cell. Mol. Biol., 1998, 44, 99.
71. Marcott, C., Reeder, R.C., Sweat, J.A., Panzer, D.D., Wetzel, D.L. FT-IR spectroscopic imaging microscopy of wheat kernels using a mercury-cadmium-telluride focal-plane array detector. Vib. Spectrosc., 1999, 19, 123-129.
72. Barron, C., Parker, M.L., Mills, E.N.C., Rouau, X., Wilson, R.H. FTIR imaging of wheat endosperm cell walls in situ reveals compositional and architectural heterogeneity related to grain hardness. Planta, 2005, 220, 667-677.
73. Piot, O., Autran, J.C., Manfait, M. Spatial distribution of protein and phenolic constituents in wheat grain as probed by confocal raman microspectroscopy* 1. J. Cereal Sci., 2000, 32, 57-71.
74. Wetzel, D.L., Srivarin, P., Finney, J.R. Revealing protein infrared spectral detail in a heterogeneous matrix dominated by starch* 1. Vib. Spectrosc., 2003, 31, 109-114.