摘要
An automated flow-batch analyzer(FBA) based on spectrophotometry was developed for the determination of nitrite(NO2-) in environmental waters. The FBA consists of a homemade flow cell, light source, detector and a mini-syringe pump, which was controlled by self-designed software written in Lab VIEW. Two LEDs and a light-to-voltage converter were used as the light source and detector respectively. The chemical detection method was based on spectrophotometry and modified Griess reaction. With the optimized conditions, the limit of detection(LOD) was 0.018 μmol·L^-1 and the relative standard deviations(RSDs) at different concentrations(0-12 μmol·L^-1) were 0.54%-3.63%(n=3). Measurements of different aqueous samples(n=21) showed no significant difference between results obtained by developed FBA and a commercial spectrophotometer.
An automated flow-batch analyzer（FBA） based on spectrophotometry was developed for the determination of nitrite（NO2-） in environmental waters. The FBA consists of a homemade flow cell, light source, detector and a mini-syringe pump, which was controlled by self-designed software written in Lab VIEW. Two LEDs and a light-to-voltage converter were used as the light source and detector respectively. The chemical detection method was based on spectrophotometry and modified Griess reaction. With the optimized conditions, the limit of detection（LOD） was 0.018 μmol·L-1 and the relative standard deviations（RSDs） at different concentrations(0—12 μmol·L-1) were 0.54%—3.63%（n=3）. Measurements of different aqueous samples（n=21） showed no significant difference between results obtained by developed FBA and a commercial spectrophotometer.
作者
董辰杨
李文湛
王志宏
曾俊翔
梁晋涛
DONG Chen-yang;LI Wen-zhan;WANG Zhi-hong;ZENG Jun-xiang;LIANG Jin-tao
基金
supported by the Guangxi Natural Science Foundation(No.2018GXNSFAA281231)
the MEL Visiting Fellowship Program(No.MELRS1715)
the Innovation Project of GUET Graduate Education(No.2018YJCX69)
