PHOTOACOUSTIC SPECTROSCOPY, A NONDESTRUCTIVE METHOD FOR SENSITIVE ANALYSIS OF DISEASE IN PLANTS.

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Title: PHOTOACOUSTIC SPECTROSCOPY, A NONDESTRUCTIVE METHOD FOR SENSITIVE ANALYSIS OF DISEASE IN PLANTS.
Authors: Rai, A.K.1 (AUTHOR) rai@dial.msstate.edu, Mathur, D. (AUTHOR), Singh, J.P.1 (AUTHOR)
Source: Instrumentation Science & Technology. Nov2001, Vol. 29 Issue 5, p355-366. 12p.
Subjects: Photoacoustic spectroscopy, Plant diseases, Wheat
Abstract: The Photoacoustic (PA) spectra of wheat leaves infected by brown rust were recorded at modulation frequencies, 18 Hz and 228 Hz, using a 300W Xenon Arc lamp. The PA signals at 6328.8 nm radiation of He-Ne laser were recorded at different modulation frequencies to ascertain depth of penetration of the disease in the infected leaf tissue. For an abaxial surface of the leaf facing the incident radiation, the PA signal from leaves severely infected with brown rust disease is higher than that obtained from healthy leaves. This is in a marked contrast to a situation observed when an adaxial surface faces the incident radiation (the PA signal from severely infected leaves is lower than that from the intact leaf). In case of a horizontal spread of a disease, the tendency towards the stem side of the leaf was observed. Our results also reveal the progress of disease vertically through the leaf. [ABSTRACT FROM AUTHOR]
Copyright of Instrumentation Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: PHOTOACOUSTIC SPECTROSCOPY, A NONDESTRUCTIVE METHOD FOR SENSITIVE ANALYSIS OF DISEASE IN PLANTS.
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  Data: <searchLink fieldCode="AR" term="%22Rai%2C+A%2EK%2E%22">Rai, A.K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rai@dial.msstate.edu</i><br /><searchLink fieldCode="AR" term="%22Mathur%2C+D%2E%22">Mathur, D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+J%2EP%2E%22">Singh, J.P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Instrumentation+Science+%26+Technology%22">Instrumentation Science & Technology</searchLink>. Nov2001, Vol. 29 Issue 5, p355-366. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Photoacoustic+spectroscopy%22">Photoacoustic spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+diseases%22">Plant diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Wheat%22">Wheat</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Photoacoustic (PA) spectra of wheat leaves infected by brown rust were recorded at modulation frequencies, 18 Hz and 228 Hz, using a 300W Xenon Arc lamp. The PA signals at 6328.8 nm radiation of He-Ne laser were recorded at different modulation frequencies to ascertain depth of penetration of the disease in the infected leaf tissue. For an abaxial surface of the leaf facing the incident radiation, the PA signal from leaves severely infected with brown rust disease is higher than that obtained from healthy leaves. This is in a marked contrast to a situation observed when an adaxial surface faces the incident radiation (the PA signal from severely infected leaves is lower than that from the intact leaf). In case of a horizontal spread of a disease, the tendency towards the stem side of the leaf was observed. Our results also reveal the progress of disease vertically through the leaf. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Instrumentation Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1081/CI-100107228
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        Text: English
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        PageCount: 12
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      – SubjectFull: Photoacoustic spectroscopy
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      – SubjectFull: Wheat
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      – TitleFull: PHOTOACOUSTIC SPECTROSCOPY, A NONDESTRUCTIVE METHOD FOR SENSITIVE ANALYSIS OF DISEASE IN PLANTS.
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              Text: Nov2001
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