Use of Interpolation Theory in the Analysis of Gas Adsorption Isotherms. III. Application to Low‐Temperature Data

1956 ◽  
Vol 24 (3) ◽  
pp. 510-513
Author(s):  
J. M. Honig
Keyword(s):  
Low Temperature ◽  
Adsorption Isotherms ◽  
Gas Adsorption ◽  
Temperature Data ◽  
Interpolation Theory

USE OF INTERPOLATION THEORY IN THE ANALYSIS OF GAS ADSORPTION ISOTHERMS: I. THEORY

1955 ◽  
Vol 33 (2) ◽  
pp. 193-202 ◽  
Author(s):  
J. M. Honig ◽  
P. C. Rosenbloom
Keyword(s):  
Adsorption Isotherms ◽  
Adsorption Process ◽  
Gas Adsorption ◽  
Upper Bounds ◽  
Interpolation Theory ◽  
Lower And Upper Bounds ◽  
Physical Quantities ◽  
Adsorbent System ◽  
Quantities Of Interest

The theory presented in this paper permits the determination of extremal bounds for a given adsorbate–adsorbent system within which the adsorption isotherms must fall if certain assumptions pertaining to the nature of the adsorption process are applicable. The use of interpolation theory in estimating lower and upper bounds on physical quantities of interest in adsorption theory is also discussed.

Depth and seasonal biases in organic temperature proxies: a modelling study

2021 ◽  
Author(s):  
Devika Varma ◽  
Gert-Jan Reichart ◽  
Stefan Schouten
Keyword(s):  
Low Temperature ◽  
Probability Density Functions ◽  
Temperature Data ◽  
Sea Surface ◽  
Density Functions ◽  
High Latitudes ◽  
Mean Sea Surface ◽  
Temperature Signal ◽  
Instrumental Temperature ◽  
Nutrient Data

<p>For more than a decade TEX<sub>86</sub> and U<sup>K’</sup><sub>37</sub>, derived from ratios of biomarker lipids have widely been used as organic paleotemperature proxies. Yet, these proxies, especially TEX<sub>86</sub>, have several uncertainties associated with factors such as depth and seasonal biases which are complicating its application as an annual mean sea-surface temperature (SST) proxy. To constrain this impact, we performed a relatively simple modelling exercise where we use instrumental temperature and nutrient data from 40 locations across the globe to predict theoretical proxy values and compare them with measured core-top proxy values.</p><p>The model first uses instrumental nutrient and temperature data, and probability density functions to predict the theoretical depth occurrence of the source organisms of the two proxies. Additionally, seasonal bias was introduced by predicting seasonal occurrences using instrumental nutrient and chlorophyll data. This was used to calculate the depth- and season weighed temperature signal annually deposited in the sediment, which in turn was converted to theoretical proxy values using culture or mesocosm calibrations. This showed, as expected, that depth and seasonal biases introduced scatter in the correlation between theoretical proxy values and annual mean SST but still highly significant for both U<sup>K’</sup><sub>37</sub> (r<sup>2</sup>= 0.96), and TEX<sub>86</sub> (r<sup>2</sup>= 0.77). We find that the theoretical proxy values are much lower than measured proxy value for TEX<sub>86</sub>, which tentatively suggests that TEX<sub>86 </sub>might in fact be coming from shallower depths or that the mesocosm calibration is incorrect. Our model for U<sup>K’</sup><sub>37</sub> results in theoretical values similar to measured values except for low temperature locations. This might suggest an influence of seasonal bias towards more warmer summer seasons which is more pronounced in high latitudes than in tropics.</p>

Low-Temperature Data Remanence Attacks Against Intrinsic SRAM PUFs

2018 ◽  
Author(s):  
Nikolaos Athanasios Anagnostopoulos ◽  
Tolga Arul ◽  
Markus Rosenstihl ◽  
Andre Schaller ◽  
Sebastian Gabmeyer ◽  
...  
Keyword(s):  
Low Temperature ◽  
Temperature Data

scholarly journals Studying ZIF-8 SURMOF Thin Films with a Langatate Crystal Microbalance: Single-Component Gas Adsorption Isotherms Measured at Elevated Temperatures and Pressures

Langmuir ◽  
2020 ◽  
Vol 36 (29) ◽  
pp. 8444-8450
Author(s):  
Elvia P. Valadez Sánchez ◽  
Alexander Knebel ◽  
Luis Izquierdo Sánchez ◽  
Michael Klumpp ◽  
Christof Wöll ◽  
...  
Keyword(s):  
Thin Films ◽  
Adsorption Isotherms ◽  
Elevated Temperatures ◽  
Gas Adsorption ◽  
Single Component
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