Synthesis and evaluation of tetrahydroindazole derivatives as sigma-2 receptor ligands.

A series of tetrahydroindazole derivatives were synthesized and evaluated for their affinities for both sigma-1 and sigma-2 receptors. These compounds are hybrid structures of a tetrahydroindazole substituted benzamide and a 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline moiety or a 9-azabicyclo[3.3.1]nonan-3-yl-amine moiety. These newly synthesized hybrid analogs showed various affinities for sigma-2 receptor without any significant affinities for sigma-1 receptor. In particular, compounds 12, 15b, 15c, and 15d, demonstrated moderate affinity and excellent selectivity for sigma-2 receptor. It is interesting to note that 3-5 carbon units between the tetrahydroindazole substituted benzamide and the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline moiety are appropriate for sigma-2 receptor binding. No substitution on the 9-aza nitrogen is proper for sigma-2 affinity in the 2-(9-azabicyclo[3.3.1]nonan-3-yl-amino)-4-(3,6,6-trimethyl-4-oxo-4,5,6,7-tetrahydro-1H-indazol-1-yl)benzamide analogs.

[Rapid determination of fatty acids in soybean oils by transmission reflection-near infrared spectroscopy].

In the present research, a novel method was established for determination of five fatty acids in soybean oil by transmission reflection-near infrared spectroscopy. The optimum conditions of mathematics model of five components (C16:0, C18:0, C18:1, C18:2 and C18:3) were studied, including the sample set selection, chemical value analysis, the detection methods and condition. Chemical value was analyzed by gas chromatography. One hundred fifty eight samples were selected, 138 for modeling set, 10 for testing set and 10 for unknown sample set. All samples were placed in sample pools and scanned by transmission reflection-near infrared spectrum after sonicleaning for 10 minute. The 1100-2500 nm spectral region was analyzed. The acquisition interval was 2 nm. Modified partial least square method was chosen for calibration mode creating. Result demonstrated that the 1-VR of five fatty acids between the reference value of the modeling sample set and the near infrared spectrum predictive value were 0.8839, 0.5830, 0.9001, 0.9776 and 0.9596, respectively. And the SECV of five fatty acids between the reference value of the modeling sample set and the near infrared spectrum predictive value were 0.42, 0.29, 0.83, 0.46 and 0.21, respectively. The standard error of the calibration (SECV) of five fatty acids between the reference value of testing sample set and the near infrared spectrum predictive value were 0.891, 0.790, 0.900, 0.976 and 0.942, respectively. It was proved that the near infrared spectrum predictive value was linear with chemical value and the mathematical model established for fatty acids of soybean oil was feasible. For validation, 10 unknown samples were selected for analysis by near infrared spectrum. The result demonstrated that the relative standard deviation between predict value and chemical value was less than 5.50%. That was to say that transmission reflection-near infrared spectroscopy had a good veracity in analysis of fatty acids of soybean oil.