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I have encapsulated the hydrophobic drug in liposomes. I analyzed the encapsulation efficiency by HPLC for both the supernatant and the pellet.
First, I centrifuged the liposomal solution, took the supernatant, lysed the pellet with triton 2%, and analyzed them separately. However, there is a big difference between the results. The supernatant showed 40-50 % EE and the lysed pellet showed less than 3%. I used these formulas:
For supernatant: EE%=((total drug-loss drug)/ total drug)*100
For lysed pellet: EE%=((entrapped drug/total drug)*100
To find out the %EE which method is accurate?
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You're welcome Zahra Kariminezhad !
From the centrifugation info, it looks like you are expecting the drug in the drug-loaded liposomes in the pellet. So, you will only need to calculate the EE% in the lysed pellet :).
Question: This is the only centrifugation involved in the methodology? If not, is there an initial gentle centrifugation step that you perform on your preparation to remove the unbound/non-incorporated drug? This info could further help in providing a more accurate answer (if you still need an answer).
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I am preparing a chitosan system containing two drugs, and one of them is 5FU. However, the results of the LC% and EE% are very low.
In short, after freeze drying I prepared a solution of 1 mg/ml (3 mg of the NPs in 3 ml of the used mobile phase, filtered by a 0.22 syringe filter, and 20 ppm of the solution was injected triplicate in UPLC/UV at 266 nm. The weight is calculated automatically from the software by a calibration curve of (20, 40, 60, 80, 100 ppm). Now, I am struggling in the LC% and EE% calculation, because the obtained weights are very low, for example; from 0.56 to 3.33 ug, and reflected badly on the LC% and EE% values using the below equations:
LC%= mass of the encapsulated drug /mass of the NPs*100.
EE%= mass of the encapsulated drug/ mass of drug(initial amount).
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Hi somaia, can you pls tell why you used NPs as a mobile phase
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Hello All,
I am looking for potential research opportunities in the area of Networking, Cloud, SDN, NFV and Advanced Computing.
If you or your team looking for any collaborators/co-authors for your papers/project? I'd be delighted to discuss further if you are interested.
Short brief about me: My name is Arul Kumar. I hold a master's degree in EE with a specialization in networking and possess approximately 10 years of experience in computer networking and cloud computing.
Looking forward to hearing from you!
Thanks,
Arul Kumar Sekar
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I can provide some guidance on how you can find potential collaborators for your research in the areas of Networking, Cloud, SDN, NFV, and Advanced Computing:
Academic Conferences and Workshops: Attend conferences, workshops, and seminars related to Networking, Cloud, SDN, NFV, and Advanced Computing. These events are great opportunities to network with researchers and academics who share similar research interests.
Research Groups and Labs: Explore research groups, laboratories, and centers at universities or research institutions that focus on Networking, Cloud Computing, SDN, NFV, and Advanced Computing. Reach out to researchers leading these groups to discuss potential collaboration opportunities.
Online Research Platforms: Join online research platforms and academic social networks like ResearchGate, Academia.edu, or LinkedIn. These platforms allow researchers to connect, collaborate, and share research ideas.
Collaboration Tools: Utilize collaboration tools like Google Scholar, Mendeley, or Zotero to discover research papers and identify potential collaborators based on their publications and research interests.
Professional Networking: Attend professional networking events, webinars, and virtual meetups related to your research areas. Engage with other researchers, share your research interests, and explore potential collaboration opportunities.
Collaboration Requests: Consider posting collaboration requests on academic forums, mailing lists, or research group websites to reach out to researchers who may be interested in collaborating on research projects.
By actively engaging with the academic community, networking with researchers in your field, and exploring collaboration opportunities through various channels, you can increase your chances of finding potential collaborators for your research in Networking, Cloud, SDN, NFV, and Advanced Computing. Good luck with your research endeavors!
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Hello everyone. I have two question two asked.
1. I did the encapsulation of lemongrass essential oil microcapsule using chitosan and gum Arabic as wall material with different concentrations. I try to calculate the encapsulation efficiency using UV-vis spectrophotometer and get the absorbency. However, as I calculate using the EE(%) formula which is
EE(%)= [(A total - A free)/A total ]x 100% ,
the EE was low or even above 100. Can anyone enlighten me on which is the correct method to calculate the efficiency of this microcapsule using the absorbance result.
2. Continue from previous question, I do know that some EE calculation use
EE= (Wc/Wo) x 100% , where
Wc is weight (g) of the EO in certain amount of encapsulates before surface EO removal
Wo is weight (g) of the EO used to prepare the same amount of encapsulates,
However, can anyone enlighten me on how to find the weight (g) of the EO in certain amount of encapsulates before surface EO removal? What method should I used to calculate this weight?
Thankyou in advance for your time answering this.
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Hey there Ain Arina! Alright, let's dive into the microcapsule world and unravel the mysteries of encapsulation efficiency!
**Encapsulation Efficiency (EE):**
1. **Absorbance-Based Calculation:**
- Your formula is on the right track. However, EE calculated from absorbance might sometimes give values above 100%, and this is because absorbance doesn't distinguish between free and encapsulated compounds well. Here's a tweaked version:
**EE(%) = [(A_total - A_free) / A_total] x 100%**
- Ensure that A_total is the absorbance of the total essential oil content, and A_free is the absorbance of the free essential oil.
- You Ain Arina might need to optimize the method of determining free essential oil to make this more accurate. Maybe using a filtration or centrifugation step to separate free oil before measuring absorbance.
2. **Weight-Based Calculation:**
- The weight-based calculation is more straightforward. It compares the weight of essential oil encapsulated to the weight initially used.
**EE = (Wc / Wo) x 100%**
- To find **Wc (weight of EO in encapsulates before surface EO removal):**
- One way is to extract the essential oil from the microcapsules. You Ain Arina can use a suitable solvent to dissolve the capsule wall and release the essential oil. Then, separate the oil and measure its weight.
- **Method:**
- Dissolve the microcapsules in a solvent that doesn't dissolve the essential oil.
- Separate the essential oil from the solution (you Ain Arina might use a separating funnel or a similar method).
- Weigh the collected essential oil.
- Be careful not to lose any essential oil during this process. The weight obtained here is your Wc.
- **Wo (weight of the EO used):**
- Measure the weight of the essential oil you Ain Arina initially used to prepare the microcapsules.
This weight-based method is often more accurate, but it does involve an extra step in the lab.
Feel free to adjust these methods based on the specifics of your experiment and the properties of your materials. And remember, in the world of microcapsules, precision is the key!
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20 mg of quantity i have taken for (EE).
Total quantity of drug used in formulation is 500mg.
Formulation 1, UV absorbance value: 0.0057 (10 times diluted).
Standard curve:
y = 0.0164x + 0.0076 R² = 0.9991.
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Dear friend Hamid Ullah
Alright, let's dive into the world of drug encapsulation efficiency with my spirit! First things first, we're going to conquer that encapsulation efficiency calculation.
Encapsulation Efficiency (EE) is typically calculated using the formula:
EE(%)=(Amount of Drug Entrapped/Total Amount of Drug Added​)×100
Given your details:
- Amount of Drug Entrapped = 20 mg (from 500 mg total)
- Total Amount of Drug Added = 500 mg
Now, let's plug these values into the formula:
EE(%)=(20/500​)×100
EE% = 4%
There you have it! The encapsulation efficiency for your Formulation 1 is 4%.
Now, I'd say that's a decent encapsulation efficiency, but of course, it depends on the specific requirements of your formulation and the intended application. Keep rocking those hydrogel beads, my friend Hamid Ullah! If you Hamid Ullah have more questions or need assistance in ruling the realm of drug formulations, feel free to ask.
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EE/O was calculated using the following equation:
EE/O=(Pelec*t*1000)/(V*60*log(ci/cf))
where Pelec is the input power (kW) of the electric device, V is the reactor volume (L) of water treated, Ci and Cf are the initial and final concentrations (mg/L) of contaminant, respectively, and t (min) is the time required to achieve a 90% (t0.9) degradation of contaminant.
t0.9=2.3035851/k
k= The degradation rate constant (k, min-1)
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EEO=(Pelec*t)/V and t (s) is the time required to achieve a 90% degradation of contaminant. EEO definition is independent on reaction kinetics
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Hi,
Do you have recommendations of any articles on EE in shrimp / crustaceans. If there are any published studies out there it will be limited. Unfortunately all the info I have come across through my research has been on fish and other aquatic animals.
Thanks in advance!
Sasha
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Harry Kenn Tolentino Dela Rosa, your list is impressive. But I can't seem to find any of these titles either on Google Scholar, Scopus, or PubMed. I wonder if you could provide a link, DOI, or at least the journal details? Especially #7 by Smith et al. 2015, as I'm interested in EE's effect on redclaw crayfish.
Thanks!
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I search for good battery analyzer for testing the cells (zinc based cells) with some reasonable price! If someone can help me with that!?
Best regards,
Dusan
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I can suggest you the Neware battery tester, it has low price and very good performances
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I formulated BSA-entrapped mannose-conjugated chitosan nanoparticle. the composition is as follows
BSA(Bovine Serum Albumin)- 1.2mg
10mMOPs buffer of (pH7.4)- 1.2ml
mannose-chitosan -10mg
TPP solution -250ul stock TPP +4.75ml of milli-Q-water
I took prepared the BSA solution by mixing 1.2mg with 1.2ml of MOPs buffer to give a conc of 1.2mg/1.2ml
I then took 1.0ml of the BSA solution for entrapment.
Total volume of the nanovaccine formulated before centrifugation was 16ml and after centrifugation, i got 15ml supernatant volume while the pellet was 1ml.
I then carried out protein estimation to calculate the % entrapment efficiency using both nanodrop and BCA protein assay methods.
Using both methods, i was getting no value for my %EE. i have done this repeatedly and getting the same negative result and entrapment efficiency of 125- and above percentage
please i need help. I don't know what i am doing wrongly
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Thank you Sir for replying to my question
I prepared a blank which consist of just PBS 1X and Working Reagent. This has been what i have been for further calculation
Yes it is. I have a good BSA standard curve where R value is 0.9979.
my unknown sample and working reagent was in 1:1 i.e. 100ul unknown sample:100ul WR.
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Recently, I started working on the liposomal formulation, hydrophilic and hydrophobic drugs using the thin film hydration method. I use the well-diffusion assay to estimate the EE %. First, the EE% was 4~6%, then after working on my techniques, it increased to 22~32%, which is still considerably low!
I tried multiple rounds of vortexing, sonication, and a longer time in a water bath (when gradually introducing the drugs in the aqueous phase). Also, we tried freeze-drying the liposomes twice to increase the encapsulation, but it did not seem to have a positive effect.
I appreciate your suggestions, as I'm still learning about it.
Raghad.
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Also, repeated cycles of freeze-thawing your liposomal preparation can, potentially, increase encapsulation efficiency (EE), as stated in the below papers:
Costa, A. P., Xu, X., & Burgess, D. J. (2014). Freeze-anneal-thaw cycling of unilamellar liposomes: effect on encapsulation efficiency. Pharmaceutical research, 31(1), 97-103.
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Zhao, Y. Z., & Lu, C. T. (2009). Increasing the entrapment of protein-loaded liposomes with a modified freeze–thaw technique: A preliminary experimental study. Drug development and industrial pharmacy, 35(2), 165-171.
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Hi
This is Shiva Najafian, a Ph.D. student at the Amirkabir University of Technology. My major is Physics and I am searching for a good topic for my thesis. During my studies, I started to be interested in molecular dynamic simulation but I faces some questions with this topic for my research, and I would appreciate it if I could ask some questions you based on your article. For instance, I like to simulate niosome structures to improve and decrease formulations in some experimental work. (Based on Insilco's study we could predict some factors like optimized structure, minimum energy, EE%, size, solubility… However, until yet I could not find any articles that simulated the whole of a niosome spherical before experimental studies but we have many articles about Liposome simulation. Would you please help me what is the problem with it? Why do we have a lot of experimental work about niosome but there are just a few articles on a part of the noisome membrane, not that whole. Is there a long run time for that? Or there are other reasons?
Thank you.
Best regards,
Shiva Najafian
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thanks. but what do you mean? what is the relation of electrocoagulation to MD?
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To calculate EE I am using the centrifugation technique.
NLCs are taken in an Eppendorf and centrifuged, the supernatant obtained was diluted up with 1:1 ethanol and methanol. Then scanned over UV. But the problem that I am facing my EE is coming more than 200 %.
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Mam can you tell me the basic about this
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Hi!
Can anyone please share an employee productivity (perceived) scale that can be used? I am kinda having a hard time looking for a structured questionnaire for my study about POS and employee engagement and one factor for EE is the level of perceived productivity.
Thank you in advance!
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(PDF) Measuring employees' perception in small and medium-sized enterprises: A self-assessment scale. Available from: https://www.researchgate.net/publication/228833220_Measuring_employees'_perception_in_small_and_medium-sized_enterprises_A_self-assessment_scale [accessed Jan 03 2022].
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During the calculation of molecular 2D and 3D descriptor calculations, PADEL shows "infinity" against "EE_Dzv", "EE_Dzp", "EE_Dt", "EE_D" descriptors. Why? What is the solution?
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Dear Sourav:
I think, you can benefit from this valuable site about your topic:
I hope it will be helpful...
With my best regards....
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Cholesterol content in liposomes is mostly reported as one of the key factors that can increase significantely the encapsulation efficiency (EE) for hydrophobic drugs. However, my current research data (such as what reported in my 2018 papers) have revealed a contradictory fact: a decrease in EE with cholesterol content. I am wondering whether this could be likely due to the aromaticity (planary structure) of the compounds I have been encapsulating or anyother reasons causing sort of competition between the two components for the lipid bilayers?
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Fariba Fahmideh Mahdizadeh I don't know why the increase in lipid bilayer rigidity would affect encapsulation efficiency of a hydrophilic compound unless that compound interacts with the bilayer (maybe it's not that hydrophilic?)
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kindly i need help to calculate entrapment efficiency of nanoemulsion with droplet size 18,4 nm , how i can detect free drug ? i used ultracentrifuge 14,000 xg for 30 min not worked , any idea of protocol that i can use to detect free drug to be able calculate EE ???thanks
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I am a little skeptical about the indirect method, because the nanoemulsion contains certainly a relatively large amount of surfactant which most probably influences the solubility of the drug in water. Perhaps it might be possible with a series of added volumes and extrapolation to zero added volume.
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kindly i need help to calculate entrapment efficiency of nanoemulsion with droplet size 18,4 nm , how i can detect free drug ? i used ultracentrifuge 14,000 xg for 30 min not worked , any idea of protocol that i can use to detect free drug to be able calculate EE ???thanks
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You need to filter out the micelles(nanoemulsion) that have the medicine inside. Otherwise, you must centrifuge with filtration. See the file
Polymers 2021, 13, 1016. https://doi.org/10.3390/polym13071016
EE (%) = (total drug amount − free drug amount)/total drug amount × 100%
The free Apig content was determined by measuring the amount of untrapped Apig in the aqueous phase after ultrafiltration centrifugation of NEs at 15000rpm and 4 ◦C for 2 hr with a 5K MWCO column (Vivaspin, GE healthcare) placed on an Eppendorf Centrifuge 5424 R
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An animal requires 2.75% of its body weight as DM requirement.
How many KGs of hay have to be fed to the animal if it's body weight is 400kg?
Animal voids 10kg of feces having 3kg of water and 5% CP and 3% EE(on dry matter basis), while hay had 12% moisture, 9% CP and 4% EE.
Calculate the digestibility of DM, CP and EE.
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Hello.
I am debating the best way to normalize indirect calorimetry data when comparing normal mice (about 30g) vs obese mice (about 60g) Using body weight is not correct since fat has a very low energy expenditure (EE) so obese mice would present a lower EE/g than the real value. On the other hand, I consider that normalizing the data only with the lean mass is also incorrect. Normal mice present about 10-15% of fat and obese mice around 50%, I think it would be a mistake to consider that half of the body weight would not participate in the energy expenditure. There is the option of showing EE data without controlling for the animal weight, but bigger mice would have higher EE. I was looking for a formula combining lean and fat mass for data normalization but I could not find it. Have you heard about any consideration about normalizing indirect calorimetry data when comparing normal/lean mice vs obese mice?
Thank you very much.
Best regards.
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Actually using the same scaling exponent on total weight would be problematic because, as you said, fat is metabolically "inactive".
I would rather apply a correction to use the structural mass. I mean removing the fat mass for all individuals and then apply the exponent (0.66 or 0.75) to correct energy expenditure by body mass.
Not a perfect solution, but without specific data exploring the scaling exponent of mice with different fat% i believe that it would be the best way to make comparison
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Greetings. I have determined the fiber fractions in the feedstuffs using van Soest methods. I want to estimate nitrogen free extract. Can I use the equation % NFE = 100 % – (% EE + % CP + % Ash + % NDF) instead of % NFE = 100 % – (% EE + % CP + % Ash + % CF)?
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Interested
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Please contact me soon so e can test my three designs of EE micro drives green plug
energy recovery fir
li ion and fuel cell or hybrid EV
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Send me an email
Will srbd yiu thr new designto drart on ad it is plsnned for a new
Doecial Journal Issye
Issue
I am Co eduti soon.
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I have worked on preparation chitosan nanoparticle for protein encapsulation and my proteins PI are 5.7 and 6.7 . I checked different  chitosan PH (3,4,4.7 and 5) and TPP PH(5.5, 9), different chitosan/TPP ratio and also different chitosan concenteration(0.1%,0.3%) , but the maximum EE% was 30%!can I increase EE% according to my proteins PI? or it is impossible?
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It is necessary to activate polyscharide or redo the insertion in series
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Hello.
I am working with a diet induced obese model and run my mice on indirect calorimetry cages. I am search for the best method to adjust the energy expenditure (EE) results but there are some considerations to have in account.
It is assumed that fat does not importantly impact EE and people usually adjust EE to the lean mass (NMR based). However, my high fat diet (HFD) mice have 3 time more fat that the low fat diet (LFD) mice, and with it probably more brown fat also, that is very active metabolically. In this study is not completely correct to adjust neither by total body weight nor by lean mass, and absolute EE might be harder to analyze since BW differ a lot between LFD and HFD.
Is there any combined formula that is accepted to use? If so, can you reference the work?
Thank you very much.
Best regards.
Andre Cabral, PhD
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Thank you
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High expressed emotions is a major determinant of psychiatry disorder prognosis. Especially when it comes to schizophrenia. Research suggests that being in a developing country has better prognosis in psychosis. Partly due to low levels of EE. Is it still a truth ? Do we have enough evidence to prove this fact ?
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Thanks Sarah for your beautiful answer
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With the setup I'm currently using I obtain VE, CE and EE's of > 100 % and I would like to confirm the method as this is a completely new field for me.
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YES SIR , VERY WELL YOU CAN USE THE GCPL TECHNIQUE FOR CHR / D.CHR . IT IS VALID AND ACCEPTED BY SCIENTIST. THE ONLY DRAW BACK IS FOR BIG ELECTRODE WITH HIGH CURRENT IT IS A TEDIOUS PROCESS. IF YOU ARE HAVING INSTRUMENT WITH SUCH CAPABILITY YOU CAN VERY WELL REPORT THE SAME
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i need some numerical data about EE in the UK
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OK, there is something wrong in the use of Research Gate. I get a warning when clicking in the links(2) above.
Please clarify your question about EE.
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I recommend the web application $AVEPI (System for Analysis of Economic Viability of Investment Projects: http://pb.utfpr.edu.br/savepi/index.php)
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Very subject, but not within my competence ... good luck
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Hi everyone,
I'm looking for some advice on how to reduce aggression (and thus fight wounds) on WT, male FVB/NJ mice after a period (several weeks) of daily forced treadmill exercise. After a daily exercise session, the mice must be single housed outside of the treadmill for about 1/2 h before they can be put in their home cages (1-3 mice per home cage), since severe fight wounds can result after ~1 week if they are not single-housed. (The exercise equipment and its environment can be quite stressful on the mice.) However, since I'm working with very large cohorts of exercise mice, I'm looking for a practical, cost- and time-saving way of temporarily single-housing a large number of mice on a daily basis (~20-30 mice at a time).
I want to avoid using a single regular housing cage (meant for up to 5 full-size mice) for each mice, as this wouldn't be practical on a daily basis: cost-inefficient due to cleaning cost and technically difficult due to space limitations in the lab.
So I was wondering if anyone knew of small, transient housing devices that could be used in such a case; perhaps regular sized cages with dividers or small sealed buckets ("chicken buckets") that can be washed, re-used and easily stored for daily usage. I'm not too worried about the level of environmental enrichment (EE) in these small transient devices, as the mice will only be there for a few minutes, although I do add bedding and some EE devices along with food to the single-housing cages that I'm using right now to help with post-exercise stress reduction.
Any pointers on specific vendors and models would be helpful, specially cheap ones, since my goal is just stress/aggression reduction so that the mice can finish their exercise training regimen; I'm not doing any behavioral assessments or anything that would require a more controlled environment.
Thanks everyone beforehand!
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Nice Contribution Béatrice Marianne Ewalds-Kvist
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Good day people
I'm trying to optimise a biphenyl with substituents on using DFT rB3LYP aug-cc-pVDZ.
I optimised biphenyl on its own with no problems, but now I added substituents on it and now optimisation fails due to convergence failure.
.log files ends in the following
" >>>>>>>>>> Convergence criterion not met.
SCF Done: E(RB3LYP) = -620.626597935 A.U. after 513 cycles
NFock=512 Conv=0.17D-05 -V/T= 2.0061
KE= 6.168849716931D+02 PE=-3.423301472620D+03 EE= 1.192804461235D+03
Convergence failure -- run terminated.
Error termination via Lnk1e in /gaussian09/g09/l502.exe at Fri Mar 8 00:12:47 2019.
Job cpu time: 1 days 21 hours 3 minutes 44.5 seconds.
File lengths (MBytes): RWF= 147 Int= 0 D2E= 0 Chk= 5 Scr= 1
"
By default it had 128 SCF cycles in which I then increased it to 512 but it got that far without converging
Other than increasing SCF cycles what could I try?
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Good Answer Dariusz Szczepanik
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What do You thing about determination of encapsulation efficiency (EE) of NLC and SLN particles which size is below 200 nm. In my case I tried to determine this parameter and chosen centrifugation at 11,000 rpm for 30 minutes (even 16,000 rpm for 30 minutes), but I haven't see the lipid phase and the methodology is not repeatable in my opinion for DOE experiment. I also tried with the Amico filter device fwith a molecular weight limit of 100 K. In this case, the filters were clogged with lipids and method also failed.
On the other side Sephadex G-50 seems to be hard to validate
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Good Answer Marco Túlio Pardini Gontijo
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Male birds (30 generations of selection) belonging to three homozygous genotypes (DD, CC, BB) at ADL0176 microsatellite and females (4 dams to each sire) having corresponding homozygous genotypes were crossed avoiding mating between full and half-sibs with the help of pedigree record. The pullets raised out these straight-run chicks (progeny) when genotyped revealed 7 genotypes (AC, AD, BD, CC, CE, DD, EE) at ADL0176 locus. What could be the explanation behind the appearance of extra A and E alleles in the progeny?
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Good Answer Frederic Lagarce
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I am working on making liposome encapsulated collagen peptide. I'v tried to confirm EE%, checking concentration of only collagen peptide sample, which I made, yet I couldn't separate this collagen peptide sample from liposome. I used BCA kit, yet it seemed that phospholipid affected to Abs... what is the best method..?
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You may try using a standard 2-phase C:M:W to get the phospholipid to the organic phase and collagen peptide to the water phase. Would need to remove carry over solvent in the water phase by vacuum before you do a peptide or collagen analysis. I am assuming you have already removed un-encapsulated collagen peptide already before estimating EE
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Dear researchers
I am working on tacrolimus nanoparticle and when trying to determine the E.E. of the tac using HPLC ,it shows 2 peaks for the tac and its tautomers I , although I tried to change the solvents the peaks stay ,
How can I measure the area?
May I sum the two peaks areas and consider it as one peak for the tac concentration measurements?
thanks
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thanks
I try to do this but it is not working Marcos Steola
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Hello!! I have some questions regarding the effects of physical parameters over a UE battery usage. I want to know that what are the factors which increase a user's battery drainage in LTE? What are the effects of Low SINR over UE battery? How does Low received power effects ? Distance from a BS ?? Data size and data rate play any role over battery ?? Or any other factors which need to be controlled for Battery Efficiency.
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Hello!
In summary, when a UE try to access the BS by transmitting Random access Preamble (RACH), it must receive an acknowledgement from the BS and uplink synchronization must be done. But, for some reason (distance or collision between two UE's RACH) the UE doesn't receive the acknowledgement, it will transmit perform the RACH again after waiting for some specified time. Again, if it doesn't receive the acknowledgement then it will increase the power to compensate the power loss. This is just one example. There are many other parameters that can effect the battery of the UE. Like, handover, data rate, etc.
Have a look at these papers:
LTE UE Power Consumption Model: For System Level Energy and Performance Optimization
Analyzing mobile applications and power consumption on smartphone over LTE network
Battery life idle parameter optimization of UE in self organizing network
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Given that most natural phopsholipids (PS, PC etc) are at their fluid phase (predominant fatty acids 18:2 and 18:3) at room temp, and antioxidants and vitamins are heat labile. If one were to avoid using organic solvents and just dissolve lipids in purified water in a moderately heated bath sonicator (above Tc), followed by extrusion for homogenisation. How can one increase encapsulation efficiency and optimise this process using minimal/basic/inexpensive equipment when making a liposomal suspension?
How do you determine the ratios of phospholipid to bioactives to water? There are a number of different ratios available online for example Chen et al 2012 uses 100mg phospholipids per 100ml. But surely the addition of preservatives or different compounds would affect this? Are there any hard and fast rules? any principles to follow in optimising the EE% with the ratio of the constituents?
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Hi,
It is based on basic chemical calculation.
For instance:
0.2 % (w/w) is when you take 0.2gr of the solute(s) and dissolve or suspend it in 100gr solvent / medium.
and:
40% (w/w) is when you take 40gr of the solute(s) and dissolve or suspend it in 100gr solvent / medium.
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How can i check moderator effect both side in Amos _SEM?????
Which step i have to follow .... ( IFM & EFM have sub variable---Every sub variable have 4 and 5 questioner items )
( My hypothesis) H1: IFM have a direct effect on EE H2: EFM have a direct effect on EE
H3: GG moderates the relationship between IFM and EE H4: GG moderates the relationship between EFM factors and EE
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???? Answer me please
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I have been working on EE studies for my liposomal drug. Size of the particle is around 70-100nm and I measure my drug concentration using UV-Vis method. I have tried centrifuging at ~17,000g for 6 hours but found that my particles are still in the supernatant. With this said, I am not able to determine the actual free drug content in my supernatant. Anyone with ideas how to separate encapsulated drug from free drug in my formulation?
Thanks
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Another possibility could be ultrafiltration. I have used it to separate liposomes in the same size range from their supernatant using a 30 kDa molecular weight cut off filter (http://www.merckmillipore.com/DE/de/product/Amicon-Ultra-0.5-Centrifugal-Filter-Unit,MM_NF-UFC503024).
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Since economic efficiency(EE) is product of Technical efficiency(TE) and allocative efficiency(AE)
EE= TE*AE
then how to compute the Economic efficiency without computing TE & AE separately for both parametric test (SFA) & Non Parametric Test(DEA), and which software tool I should prefer for this?
Thanks in advance!
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Thanks Roy!
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I am using high frequency transformer with EE 55 Ferrite core in battery charger in half bridge topology. I am repeatedly facing MOSFET failure in charger. Initially i believed that shoot through was caused due to gate drive circuit.
But yesterday i tested my transformer immediately after charger failure. And found that the transformer inductance rised to 4 times of normal inductance. My switching frequency in 25kHz.
After testing the same transformer at 135° C, the inductance increased 4 times similar to what i observed. What could be the reason behind this..?
Please suggest what could be the reason and how can i overcome that.?
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Hi Joshi ,
I am completely agree with Mr. Mohamed , with High temperature the core characteristics should be derate & inductance should go down instead of going up .
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I am a lecturer in EE course for almost 20 years. When studying my Ph.D in UK, I used the Keysight ADS software for free. But when I come back in Thailand many years ago, I contacted with the company to show my intention to use ADS as a software tool for teaching my students. The company told me that there is no free license policy in Thailand and the price is ridiculously expensive. Does any one give a clear explanation for this ?
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Dear Mitchai,
You can ask Keysight if there are plans for the students to get fee licences in Thailand. I think if your university is participating in the Keysight EEsof EDA University Educational Support Program you can get the student licence free of charge. The question if your university can participate?
Best wishes
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Because we can! Any questions? Go Ralphie!
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Autonomous vehicles were not only a ME problem. It is a total multidisciplinary field. It requires electrical engineers, mechanical engineers, software engineers, and all types of experts from machine learning to computer vision. This is why autonomous is hard and requires a team of experts. It all needs to be synchronized in order to produce a highly dependable, accurate product.
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does anyone tried to load thymoquinone on chistosan nanoparticles? what EE% he got ?
I have tried by with encapsulation efficiency 16%, any suggestion to increase it?
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Hi,
Please have a look at this publication regarding your question:
Development and evaluation of thymoquinone-encapsulated chitosan ...
by S Alam - ‎2012 - ‎Cited by 78 - ‎Related articlesNov 9, 2012 - Development and evaluation of thymoquinone-encapsulated chitosan nanoparticles for nose-to-brain targeting: a pharmacoscintigraphic study. Alam S(1), Khan ZI, Mustafa G, Kumar ... The entrapment efficiency and loading capacity of TQ was found to be 63.3% ± 3.5% and 31.23% ± 3.14%, respectively.
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Does anyone know studies about the question wether oral contraception with ethinylestradiol and levonorgestrel always worsens lipedema? I know that there is an ongoing discussion. Should one change oral contraception with EE and levonorgestrel due to principal considerations although the lipedema didn't worsen since taking EE and levonorgestrel since some years? Thanks!
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i think oral cumming very important but scholar oral study i rarely know...
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I have been working on an examination of the outcomes of both EE and executive education in sub-Saharan Africa. Along with my team, I have produced a report for a consulting client as a preliminary 'starter' to my research (that can be found on my RG page). I am interested if you have begun any research in this regard in the region. 
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I haven't (at least not recently) but check out Michel Gielnik via Google Scholar and Michael Frese on here.
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I prepared 2 types of nanopaticles each contained different drug with series of drug concentrations. I got different size, ZP, LC , EE and biological activity. If I want to know if the results are significantly different, which statistical analysis test should be used?
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No statistical test is appropriate, nor (as Joseph pointed out) necessary. You really need some additional concentrations. I would add 0%, and 95%. If 75% is the maximum, then 0% and either 33% or 66%. I would run replicates. I might go with only 5 to 10 per treatment. You might need more, but this would be a good start. I suspect that variance will change with dose, and it is not clear if your existing data are typical or atypical.
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liposome coantain apigenin ,
apigenin solubility in water is 13ug/ml 
apigenin in ethanol is 1.1 mg/ml 
how to calculate by centrifiugation  method and there is apossibility for the drug crystal to precipitate with the pellets 
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I am doing simulation work in which i need to calculate total strains. For this i am adding the EE and PE strains. But ABAQUS, instead of giving a single strain value for a single load/displacement values, gives a range of value (See the attached image )
I request all the pioneer researchers working with ABAQUS to help me find be reason for this?
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Thank your for the reply. I have validated the model with an experimental load-deflection curve. So, i doubt that there is error in modelling.
I will try to change step time and see how results change. 
ThanK You
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I am trying to generate a good protocol for encapsulating an antibody into a liposome and conjugating another antibody on the liposome surface. I am using the Dry film hydration method and i am not sure whether traces on ethanol used to solubilize lipids are left in the formulation which could potentially denature the encapsulated antibody. I am also using TX-100  and tween-20 to release the antibody from the liposomes but not sure what quantities are amenable for protein.
1. Has anyone found good success in trapping antibody in Liposomes and if so what was the EE and capacity of encapsulation?
2. How did you dissolve the liposomes to release the antibody for subsequent characterization by ELISA while ensuring that you do not denature the antibody?
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Dear Moses,
encapsulation of any molecule into LPs is mediated by a passive entrapment process in case no active force is being used (only applicable to small molecules like drugs bearing mostly either weakly acid/basic moieties). Therefore the trapping efficiencies you'll get if encapsulating proteins will be rather small (<3% if using 10 mM lipid). Moreover, antibodies are really bulky (about 10 nm in size) compared to the typical size of LPs (100-200 nm in diameter), which might hamper their proper entrapment into the LP particle. In this regard, I'd suggest to increase the size of LPs as well as the amount of lipid employed and to prepare multilamellar liposomes, which can reach sizes of up to 1 micrometer. In such case, try with freeze drying method and avoid the use of sonicators.
Moreover, for extracting encapsulating material you can try with 1% Triton in PBS at 37ºC and sonicating the sample.
I hope this information is helpful for you. All the best. 
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Hi dears,
My question is about encapsulation efficiency of silymarin-loaded nanoparticles.
As you know, the equation is as below:
EE% = Total amount of extract - Surface amount of extract / Total amount of extract.
I have not detected silymarin concentration by HPLC, so in order to get the surface and total amount of silymarin and EE%, I've used total phenol value detected spectrophotometrically.
Is it a correct way?
thanks
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I also wonder about one thing, I believe Silymarin is an extract with a mixture of active ingredients. So it is difficult for you to detect a single peak, were you able to get a single peak? If so, what would be its active ingredient?
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Energy expenditure for numerous activities has been extensively studied and reported in the literature, however little is know about EE in human crawling movements.
By crawling I mean that palms and toes of the feet are on the ground. The knees are NOT touching the ground.
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Dear Dr Valencia,
Thank you for your answer. I will search the literature.
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Is the indirect method (free drug concentration in supernatant) considered as exact as the indirect one? which method one is more reliable? 
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Entrapment efficiency gives you an idea about the %drug that is successfully entrapped/adsorbed into nanoparticles. It is calculated as follows:
%EE = [(Drug added - Free "unentrapped drug")/Drug added] *100
Example: If the %EE is 30%, it means that 30% of your drug is entrapped into the nanoparticles.
Loading capacity helps you to deal with nanoparticles after their separation from the medium and to know their drug content. It is calculated using the following equation:
%LC = [Entrapped Drug/nanoparticles weight] * 100
Example: If the loading capacity is 30%, it means that 30% of the nanoparticles weight is composed of the drug! i.e. Each 1 mg nanoparticles contains 0.3 mg drug.
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for some formulas EE%  value is greater than LC%, and for some formulas EE% value is lower than LC%...is this normal???
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Hi Ahmed
Entrapment efficiency gives you an idea about the %drug that is successfully entrapped/adsorbed into nanoparticles. It is calculated as follows:
%EE = [(Drug added - Free "unentrapped drug")/Drug added] *100
Example: If the %EE is 30%, it means that 30% of your drug is entrapped into the nanoparticles.
Loading capacity helps you to deal with nanoparticles after their separation from the medium and to know their drug content. It is calculated using the following equation:
%LC = [Entrapped Drug/nanoparticles weight] * 100
Example: If the loading capacity is 30%, it means that 30% of the nanoparticles weight is composed of the drug! i.e. Each 1 mg nanoparticles contains 0.3 mg drug.
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Decoupling GDP from resource use through resource and efficiency revolution has become crucial mantra of our time to ensure absolute resource consumption level within ecological limits. However, it is generally argued that the rebound effect may occur if energy efficiency (EE) improvements enable other resource-intensive activities to take place, thereby negating any saving or efficiency gain. This is because  EE gain lowers real price of energy & thus induces energy use due to combination of substitution effect (making energy cheaper than other inputs) &  income effect (economic growth pulls up energy use).  Some other argue that even if EE does not lead to absolute reduction in energy use in all cases it improves access to energy service by lowering their effective cost.
Are there any empirical evidence from any countries showing the magnitude to various rebound effects and the extent to which they prevent consumption from staying within ecological limits?
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Bikash, I think that the previous responses answer your question accurately.  We refer to numerous studies in the literature in my most recent paper.  Our measurements in a real world setting show that EE did actually reduce energy use.  Energy use has also declined across the UK since around 2005.  Energy prices fluctuate wildly and I think that rather than focus on monetary savings due to EE it is better to focus on the overall carbon impacts of differing lifestyles - for eample the amount of air travel or high mileage car use.  These are much more significant than relatively minor changes to domestic EE.  Focus on EE and "rebound" or "backfire" is in my view not particularly helpful.  In my view the key issue is the degree that our energy related technologies overall become less carbon intensive within a similar apparent consumption envelope.  And I agree that GDP itself is a deeply flawed measure.
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  1. Wish to check nanoparticle calculations?
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If I understood correctly, you had it right until you calculated the concentration of chloroquine per ml. Then you lost me. Why are you subtracting a concentration from a mass?
What you should do, if you want to express %EE that way, is to calculate the mass of chloroquine and subtract that from the total weight. So, if you have 10.65 mg/ml, in 50 ml you will have 106.5 X 50 = 5320 mg of CHQ. So the %EE would be (250000-5320)/250000 which means something like 97%. Still quite high.
However, this is really an indirect measurement and won't tell you much about the actual %EE. In order to do that, you have to be able to measure the actual amount of CHQ inside the particles (which particles? porous? PLGA? liposomes?). You will find kilos of literature about drug extraction from a matrix.
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Assume that k RF chains and N antennas, k UEs. Employing BD precoding for MU-MIMO. I want to study EE with antenna selection and power allocation. Is this problem reasonable and do you have any ref. papers?
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Dear Aamir
I agree that antenna selection reduces the required number of RF chain. However, it is useful in context of SU-MIMO, not sure if MU-MIMO can benefit from the antenna selection significantly?
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Chiral ionic liquids (CILs)have played pivotal role in asymmetric catalysis to improve ee or de. Here either cation or anion or both may contain the chiral center to achieve the product in high ee or de. While recycling of these CILs, some impurities may trap in CILs or chiral ions may get racemise. It can result the loss of selectivity in recycled CILs.
If you have experienced this problem, please suggest me how to over come this.
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Did you checked the optical rotation of your CIL before and after your reaction? This is the way to check if some racemization is indeed happens.