采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经...采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经反相C18固相萃取柱(solid-phase extraction,SPE)纯化后的洗脱液不再需要浓缩,直接应用PTV技术进样,提高了洗脱液的利用率,缩短了分析时间,提高了GC/MS-SIM检测卷烟烟气B[a]P的灵敏度。展开更多
Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intell...Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intelligent approach utilizes predefined class information for supervised learning in order to solve the converting problem and keep the fuzziness and imprecision of the whole sensory information. The method is validated by the experiment on stimulation evaluation of cigarette sensory.展开更多
文摘采用程序升温汽化(programmed temperature vaporization,PTV)大体积进样与气相色谱-质谱选择离子扫描模式(GC/MS-SIM)联用,检测了卷烟主流烟气中苯并[a]芘(benzo[a]pyrene B[a]P),优化了PTV-GC/MS-SIM检测卷烟烟气B[a]P的参数。样品经反相C18固相萃取柱(solid-phase extraction,SPE)纯化后的洗脱液不再需要浓缩,直接应用PTV技术进样,提高了洗脱液的利用率,缩短了分析时间,提高了GC/MS-SIM检测卷烟烟气B[a]P的灵敏度。
文摘Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intelligent approach utilizes predefined class information for supervised learning in order to solve the converting problem and keep the fuzziness and imprecision of the whole sensory information. The method is validated by the experiment on stimulation evaluation of cigarette sensory.
