2009Anhui nongye kexueRequires access

Research on the Method of Determining the Amylose Content in Rice with Continuous Flowing Analyzer

Weiguo Liu

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Abstract

[Objective] The research aimed to supply an accurate,intelligent and automatic micro-analytical method for the quality identification and genetic analysis on rice.[Method] The amylose content in rice was determined by national standard method and flow-analysis with UV-visible spectrophotometer and full-automatic continuous flowing analyzer resp.[Result] In the stability test on samples,the average standard deviation of dispersed liquids of the 5 rice samples was 0.000 5 and their average variation coefficient was 0.34%.When the analytical velocity was 25-50 samples/h,the variation coefficient among repeats was relatively stable.When the analytical velocity was 25-45 samples/h,both peak shape and separation effect were better.In precision test,the average standard deviation of the absorbance of sample solutions was 0.000 4 and their average variation coefficient was 0.20%.The average standard deviation of determination results of the 2 methods was 0.107 7 and their average variation coefficient was 0.61%.The average standard deviation and average variation coefficient of flow-analysis were 0.082 1 and 0.49% resp.and that of national standard method were 0.111 9 and 0.64% resp.[Conclusion] This method was relatively perfect for determining the amylose content in rice.

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What this paper is about

[Objective] The research aimed to supply an accurate,intelligent and automatic micro-analytical method for the quality identification and genetic analysis on rice.[Method] The amylose content in rice was determined by national standard method and flow-analysis with UV-visible spectrophotometer and full-automatic continuous flowing analyzer resp.[Result] In the stability test on samples,the average standard deviation of dispersed liquids of the 5 rice samples was 0.000 5 and their average variation coefficient was 0.34%.When the analytical velocity was 25-50 samples/h,the variation coefficient among repeats was relatively stable.When the analytical velocity was 25-45 samples/h,both peak shape and separation effect were better.In precision test,the average standard deviation of the absorbance of sample solutions was 0.000 4 and their average variation coefficient was 0.20%.The average standard deviation of determination results of the 2 methods was 0.107 7 and their average variation coefficient was 0.61%.The average standard deviation and average variation coefficient of flow-analysis were 0.082 1 and 0.49% resp.and that of national standard method were 0.111 9 and 0.64% resp.[Conclusion] This method was relatively perfect for determining the amylose content in rice.

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Available abstract

[Objective] The research aimed to supply an accurate,intelligent and automatic micro-analytical method for the quality identification and genetic analysis on rice.[Method] The amylose content in rice was determined by national standard method and flow-analysis with UV-visible spectrophotometer and full-automatic continuous flowing analyzer resp.[Result] In the stability test on samples,the average standard deviation of dispersed liquids of the 5 rice samples was 0.000 5 and their average variation coefficient was 0.34%.When the analytical velocity was 25-50 samples/h,the variation coefficient among repeats was relatively stable.When the analytical velocity was 25-45 samples/h,both peak shape and separation effect were better.In precision test,the average standard deviation of the absorbance of sample solutions was 0.000 4 and their average variation coefficient was 0.20%.The average standard deviation of determination results of the 2 methods was 0.107 7 and their average variation coefficient was 0.61%.The average standard deviation and average variation coefficient of flow-analysis were 0.082 1 and 0.49% resp.and that of national standard method were 0.111 9 and 0.64% resp.[Conclusion] This method was relatively perfect for determining the amylose content in rice.

Key concepts: Coefficient of variation, Standard deviation, Spectrum analyzer, Absorbance, Relative standard deviation, Analytical Chemistry (journal), Mathematics, Amylose

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