scholarly journals Determination of free acid in ferric chloride solution (reivestigation of JIS K 1447).

1992 ◽  
Vol 41 (3) ◽  
pp. T45-T47 ◽  
Author(s):  
Masanobu SAHARA ◽  
Hirotoshi YOSHIMURA ◽  
Fumio SAGARA ◽  
Keihei UFAO ◽  
Isao YOSHIDA ◽  
...  
1968 ◽  
Vol 17 (10) ◽  
pp. 1273-1278 ◽  
Author(s):  
Masayoshi EZAWA ◽  
Osamu MATSUZAKI

HortScience ◽  
1997 ◽  
Vol 32 (4) ◽  
pp. 735-736 ◽  
Author(s):  
Asma Ziauddin ◽  
Mingsheng Peng ◽  
David J. Wolyn

Clear visualization of asparagus (Asparagus officinalis L.) microspore nuclei with common stains such as acetocarmine or DAPI is difficult, hindering cytological analyses. The addition of saturated aqueous ferric chloride solution to Carnoy's I fixative (30 μL·mL-1) resulted in clear visualization of nuclei. A distinct nucleus was observed in uninucleate cells and the vegetative and generative nuclei were clearly visible in binucleate microspores. This method can be used reliably for determination of asparagus microspore developmental stage. Chemical name used: 4′,6-diamidino-2-phenylindole-2HCL (DAPI).


1931 ◽  
Vol 53 (6) ◽  
pp. 919-927 ◽  
Author(s):  
Valy Menkin ◽  
Miriam F. Menkin

Repeated daily intravenous injections of ferric chloride solution are followed by an accumulation of iron in tuberculous areas of lungs. The iron accumulates in the caseous areas of tubercles and is demonstrable by the Prussian blue reaction. Quantitative determinations corroborate these results and show that the iron content of lung tissue in tuberculous animals injected with ferric chloride exceeds that in normal animals injected with this salt, as well as that in non-injected tuberculous animals.


2019 ◽  
Vol 136 ◽  
pp. 89-98 ◽  
Author(s):  
Qiang Wang ◽  
Xianzhi Hu ◽  
Futing Zi ◽  
Xuecong Qin ◽  
Yanhe Nie ◽  
...  

Rare Metals ◽  
2019 ◽  
Vol 38 (12) ◽  
pp. 1199-1206 ◽  
Author(s):  
Zhi-Qiang Ning ◽  
Hong-Wei Xie ◽  
Qiu-Shi Song ◽  
Hua-Yi Yin ◽  
Yu-Chun Zhai

Author(s):  
Zhongzheng Zhang ◽  
Cheng Ye ◽  
Jun Jiang

In order to study acoustic emission (AE) signals characteristics of pitting corrosion on carbon steel, Pitting corrosion process on carbon steel in 6% ferric chloride solution was monitored by AE technology. K-mean cluster algorithm was used to classify the monitored AE signals, in which the duration, counts, amplitude, absolute energy and peak frequency were analyzed as the AE signals characteristics, and different types AE sources were identified. The results showed that there were mainly three type AE sources during carbon steel pitting corrosion process in ferric chloride solution, and the different types AE sources could be classified by cluster analysis. The research results have some certain significance for AE monitoring of pitting corrosion on carbon steel.


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