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比较气相色谱法、分光光度法和近红外光谱法定量牧草中氰酸根的潜在含量。

Comparison of gas chromotography, spectrophotometry and near infrared spectroscopy to quantify prussic acid potential in forages.

机构信息

Department of Agronomy, 2101 Agronomy Hall, Iowa State University, Ames, IA 50011, USA.

出版信息

J Sci Food Agric. 2011 Jun;91(8):1523-6. doi: 10.1002/jsfa.4366. Epub 2011 Mar 29.

Abstract

BACKGROUND

Sorghum [Sorghum bicolor (L.) Moench] has been shown to contain the cyanogenic glycoside dhurrin, which is responsible for the disorder known as prussic acid poisoning in livestock. The current standard method for estimating hydrogen cyanide (HCN) uses spectrophotometry to measure the aglycone, p-hydroxybenzaldehyde (p-HB), after hydrolysis. Errors may occur due to the inability of this method to solely estimate the absorbance of p-HB at a given wavelength. The objective of this study was to compare the use of gas chromatography (GC) and near infrared spectroscopy (NIRS) methods, along with a spectrophotometry method to estimate the potential for prussic acid (HCNp) of sorghum and sudangrasses over three stages maturities.

RESULTS

It was shown that the GC produced higher HCNp estimates than the spectrophotometer for the grain sorghums, but lower concentrations for the sudangrass. Based on what is known about the analytical process of each method, the GC data is likely closer to the true HCNp concentrations of the forages. Both the GC and spectrophotometry methods yielded robust equations with the NIRS method; however, using GC as the calibration method resulted in more accurate and repeatable estimates.

CONCLUSION

The HCNp values obtained from using the GC quantification method are believed to be closer to the actual values of the forage, and that use of this method will provide a more accurate and easily automated means of quantifying prussic acid.

摘要

背景

高粱[高粱(L.)莫亨]已被证明含有氰基糖苷苦杏仁苷,这是导致家畜氰酸中毒的原因。目前估计氢氰酸(HCN)的标准方法是使用分光光度法水解后测量糖苷,对羟基苯甲醛(p-HB)。由于该方法不能单独估计给定波长下 p-HB 的吸光度,因此可能会出现误差。本研究的目的是比较使用气相色谱(GC)和近红外光谱(NIRS)方法以及分光光度法来估计高粱和苏丹草在三个成熟阶段的潜在氰酸(HCNp)。

结果

结果表明,GC 对谷物高粱的 HCNp 估计值高于分光光度计,但对苏丹草的浓度较低。根据每种方法的分析过程,GC 数据可能更接近饲料的真实 HCNp 浓度。GC 和分光光度法与 NIRS 法都产生了稳健的方程;然而,使用 GC 作为校准方法可以得到更准确和可重复的估计。

结论

使用 GC 定量方法获得的 HCNp 值被认为更接近饲料的实际值,并且使用该方法将提供一种更准确和易于自动化的定量测定氰酸的方法。

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