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[目的]采用傅里叶变换红外光谱对葱蒜锈病叶进行了研究,探讨中红外光谱在作物病害诊断中的应用潜力。[方法]用傅里叶变换红外光谱测试了葱蒜正常绿叶及锈病叶,分析其光谱差异。[结果]葱、蒜绿叶的红外光谱主要显示了多糖类物质、蛋白质、酯类振动;正常绿葱蒜叶和锈病葱蒜叶光谱在1800～900cm-1指纹范围显示了差异,与正常绿叶相比,锈病葱叶在1640cm-1的酰胺Ⅰ振动峰变强,在1103cm-1处的肩峰不明显;锈病叶的吸收强度比A1640/A1063、A1640/A1736、A1640/A2924和A1063/A2924比正常叶相应比值A1638/A1059、A1638/A1738、A1638/A2922和A1059/A2922变大。正常蒜叶的多糖振动峰1056cm-1为指纹区的最强峰,而锈病叶在1634cm-1处峰为指纹区的最强峰;锈病蒜叶的吸收强度比A1634/A1069、A1634/A1099、A1409/A2923和A1634/A1737较正常叶的相应比值A1627/A1056、A1627/A1104、A1411/A2920和A1627/A1740变大,锈病叶的A1634/A2923、A1069/A2923和A1737/A2923较相应正常叶的A1627/A2920,A1056/A2920,A1740/A2920变小。[结论]根据红外光谱差异可以区分绣病叶与正常叶,红外光谱可望发展成为作物病害检测的方法。
[Objective] The research aimed to study the application of Fourier transform infrared spectroscopy to the leaf of onion and garlic rust, and to explore the application potential of mid-infrared spectroscopy in the diagnosis of crop diseases. [Method] The normal green leaves and rust leaves of onion and garlic were tested by Fourier transform infrared spectroscopy. The spectral differences were analyzed. [Result] The infrared spectra of green leaves and garlic mainly showed the vibration of polysaccharides, proteins and esters. The spectra of normal green garlic leaves and rust onion leaves showed the difference in the fingerprint range of 1800-900 cm-1, In contrast, the vibrational peak of amide I at 1640cm-1 was stronger in the onion leaf of rust than that at the position of 1103cm-1; the absorption intensity of rust leaf was less than that of A1640 / A1063, A1640 / A1736, A1640 / A2924 and A1063 / A2924 The corresponding ratios A1638 / A1059, A1638 / A1738, A1638 / A2922 and A1059 / A2922 were larger than those of normal leaves. The peak of polysaccharide vibration of normal garlic leaf was 1056cm-1, which was the strongest peak in fingerprinting region, while the peak of rust leaf was the strongest peak at 1634cm-1. The absorption intensity of garlic leaf was higher than that of A1634 / A1069, A1634 / A1099, The corresponding ratios A1627 / A1056, A1627 / A1104, A1411 / A2920 and A1627 / A1740 of A1409 / A2923 and A1634 / A1737 were larger than that of the normal leaves. The A1634 / A2923, A1069 / A2923 and A1737 / A1627 / A2920, A1056 / A2920, A1740 / A2920 become smaller. [Conclusion] According to the difference of infrared spectrum, the diseased leaf and the normal leaf can be distinguished, and the infrared spectrum is expected to develop into the method of crop disease detection.