鱼肉中微囊藻毒素的高效液相色谱法分析

应用反相高效液相色谱法分析了鱼肉中藻毒素的含量。用BDS C18色谱柱，以水（含1％三氟乙酸）：甲醇＝30：70（V／V）溶液为流动相，238nm紫外检测。鱼肉样品用甲醇－水和丙酮混合溶剂提取，经正已烷萃取后，将有机相弃去，水相用固相萃取柱净化后进行高效液相色谱分析。该法检测限为10ng/g，峰面积标准曲线在50－250ng范围内有良好线性关系，平均回收率为85．1％－88．2％

鱼肉中微囊藻毒素的高效液相色谱法分析

应用反相高效液相色谱法分析了鱼肉中藻毒素的含量。用 BDSC1 8色谱柱 ,以水 (含 1 %三氟乙酸 )∶甲醇 =30∶ 70 ( V/V )溶液为流动相 ,2 38nm紫外检测。鱼肉样品用甲醇 -水和丙酮混合溶剂提取 ,经正己烷萃取后 ,将有机相弃去 ,水相用固相萃取柱净化后进行高效液相色谱分析。该法检测限为 1 0 ng/g,峰面积标准曲线在 5 0～ 2 5 0 ng范围内有良好线性关系 ,平均回收率为 85 .1 %～ 88.

滇池水环境中微囊藻毒素的生物降解

利用从滇池蓝藻水华生物量中提取的微囊藻毒素试验溶液,接种滇池沉积物的微生物,研究其在有氧条件下的生物降解过程.结果表明,水体中的微囊藻毒素易被生物降解,其降解反应服从方程C=A/(1+Be-Ct).当温度在12~25℃,加入的沉积物量为1~10g时,藻毒素粗提液的平均降解反应速率为3.181.13d-1,平均半衰期t1/2为2.661.27d,且藻毒素的生物降解速度随反应温度和沉积物量的增加而提高.研究结果还表明,生物降解是去除滇池水环境中微囊藻毒素的一个重要机制

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies