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Removal of ampicillin by advanced nanomaterial: What do we stand for developing countries?



A low-cost and novel nanomaterial to remove antibiotic: a solution for developing countries

Environmental pollution is one of the most pressing problems today, it threatens biodiversity, climate change and many other consequences that humans have to bear. Educating the young generation about environmental protection is a solution to protect the environment for the future. Environmental pollution is a problem not only in one region, but everywhere, in rural, urban, mountainous and coastal areas, especially water sources. The decontamination of antibiotics in soil and surface waters from natural environment is one of the emerging issues. Furthermore, an increase of animal protein in developing countries was demonstrated, led to the antibiotic resistance and antibiotic residues into food products. This work reported a facile investigation of the physicochemical characterizations of magnetic Fe/NH2/SiO2 (FNS) nanomaterial fabricated by the precipitation method and simple grafting with amino silica, and its application as removal of β-Lactam Ampicillin (AMP) in the solution. To observe the surface chemistry and physicochemical properties of FNS, the combination of various techniques, such as scanning electron microscopy techniques (SEM-EDX), TEM, XRD, and magnetic saturation (Ms) value was employed. The results obtained by UV-Vis absorption method, zeta potential calculation indicated that the AMP adsorption efficiencies by FNS were stable and desired at acidic pH solutions, and optimum temperature of 30 °C. 

This work was conducted and examined at VNU University of Education (UEd), Hanoi, Vietnam, in the research group of corresponding authors Professor Eldon R. Rene4,*, and Dr. Hoang Thu Ha1,*, Tran Dinh Minh1,*, with other co-authors such as: Ta Minh Trang2, Vu Dang Hoang Hiep2, Tran Long Vu2, Le Anh Duc3, Kim Thang Long5. 1,*VNU University of Education (UEd), Hanoi, Vietnam; 2High School for Gifted Students (HSGS), VNU University of Science; 3Cau Giay High School, Hanoi, Vietnam; 4,*UNESCO-IHE, Institute for Water Education, Delft, The Netherlands; 5Hanoi-Amsterdam High School for the Gifted, Hanoi, Vietnam. The authors synthesized the FNS according to both iron salts such as Fe3+ and Fe2+. After that aqua amonia was added in the system, and increasing the pH value up to 11. Then, the polymer APTMS was linked with iron oxide to form Fe/NH2 with the help of sonicator. Furthemore, the iron oxide amine was connected with Si2O to form the final product: FNS. AMP is a kind of beta – lactam, penicillin A group. On its structure had several Nitro-atoms in the amine groups such as NH2

As can be seen form the figure of (a) Removal percentages of AMP on various ratio (w/w %) of synthesized FNS (conditions: C0: 20 ppm, m FNS: 20 mg, time: 20-45 °C, pH = 4, and V: 20 mL), and (b) Langmuir model curve of AMP adsorption isotherm (concentration ranged of 20-150 mg/L, time = 140 min at RT). Optimum temperature was to be found at 30 oC, and the adsorption was well-followed by Langmuir equation. In this work the AMP adsorption on FNS from aqua environment was examined with different ratio of iron oxide and amine modified-SiO2. FNS could be suggested as an effective material for antibiotic removal from solution, regarding on the maximum adsorption efficiency, and facile fabrication. 

Author: Tran Dinh Minh, Ph.D. 

Deputy Head of Political-Students Affairs Department

Department of Educational Technology; 

Secretary of Ho Chi Minh Communist Youth Union; High School of Education Sciences (HES); 

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Tesla Granted Patent For Neural Networks To Self Improve (Detect Its Own Errors)



Tesla was granted another patent yesterday. This time, it seems that Tesla has perfected the art of creating neural networks (NN) that understand “self-improvement.” The patent, titled, System and method for handling errors in a vehicle neural network processor, describes a process where neural networks can detect errors associated with the execution of said NN. It can receive an error report from the error detectors and is then able to signal that a pending result of the NN is tainted — all without terminating the expectation of the NN.

In other words, Tesla has patented a way for an NN to recognize an error and address it. This particular patent is a continuation of another patent application filed in 2017, System and method for handling errors in a vehicle neural network processer. In the description of the patent, Tesla reinforces the focus on safety as the primary objective. It pointed out that computers are being integrated into vehicles, and although they have the potential to address safety issues, they can bring about new risks that haven’t yet been addressed. Having a system where an NN can perceive this and alert Tesla that there’s an error would lead to Tesla improving the software and making the vehicle even safer.

“Many vehicles today come equipped with a wide range of features designed to improve safety and reliability. In part, this is because vehicle accidents and/or breakdowns are accompanied by a high risk of personal injury, death, and property damage. At the very least, an accident and/or breakdown is likely to involve significant inconvenience and/or cost to the vehicle owner. Accordingly, many efforts have been made to develop improved safety features for vehicles.

“Increasingly, computers are being integrated into vehicles for purposes ranging from passenger comfort and entertainment to partial or full self-driving operation. While computers have the potential to address many safety and reliability issues in vehicles, they also introduce new risks and new modes of failure that have yet to be fully addressed. It is important that safeguards are put in place to ensure that computer-enabled and/or computer-assisted features of a vehicle do not increase the risk of operating the vehicle. Various strategies can be employed to test computer-implemented vehicle features before they are put into production. However, even when thorough testing is performed, errors are still likely to be encountered when operating under real-world conditions.

“Accordingly, it would be advantageous to provide improved systems and methods for handling errors in processors used in vehicular applications.”

Tesla goes into a bit more detail in the summary and points out some examples. One example includes a system for handling errors in NNs. In this case, the NN processer includes an error detector that is configured to detect a data error linked with the execution of that NN. The NN’s controller is able to receive the data error report from the error detector, and upon receiving that report, the NN controller is able to signal that there is a pending result of the NN tainted — without terminating the execution of the NN.

In another example, the system’s NN processer is executing an NN associated with the autonomous operation of a vehicle, and an interrupt controller, which helps to handle interrupt requests that may come from different sources, coupled to the neural network processor is used. The interrupt controller can receive the error signal from the NN processor and access the data in several ways.

“The interrupt controller is configured to receive an error signal via an error interrupt pin of the neural network processor, access error information via one or more status registers of the neural network processor, the error information indicating a type of error encountered by the neural network processor, and, when the type of the error corresponds to a data error, identify a pending result of the neural network processor as corrupt.”

In the final example listed, a method for handling errors in an NN processor was shared. This includes:

  • Receiving an error report based on an error that the vehicle NN processor encountered ruing operating the vehicle.
  • Determining the type of error based on the error report.
  • In response to the second point above, determining how it corresponds to that data error.
  • Signaling that a pending result of the vehicle’s NN processor is corrupt while allowing the operation of the vehicle’s NN processor to continue.

The patent also shared detailed drawings and examples. You can access those here.


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Pinsent Masons hires former Freshfields counsel as London partner



Pinsent Masons has expanded its IP practice in London through the addition of Gina Bicknell (45) to its partnership. Bicknell joins from a previous role as counsel at Freshfields Bruckhaus Deringer. She brings 20 years of experience in life sciences in the patent and IP field, with a special focus on transactions.

Now Pinsent Masons has 17 IP partners at its London office. As a full-service practice, the firm has 29 life sciences partners.

Bicknell brings transaction expertise

Gina Bicknell is qualified both as a UK litigator, and a US attorney-at-law. Previously, she was a counsel in the IP team of the London office of Freshfields, which she joined in 2011. Here, she worked with clients such as the 2020 AstraZeneca acquisition of Alexion, and Novartis when its eye division, Alcon, spun off in 2019. Bicknell also worked pro-bono for Cancer Research UK.

However, her time at Freshfields was punctuated between 2016 and 2018 with a stint as partner at the Kent-based corporate firm Thomson Snell & Passmore. Bicknell worked as an associate at Kirkland & Ellis, and at US boutique Marshall, Gerstein & Borun, which is based in Chicago. However, Bicknell began her career in the tech transfer department of University College London (UCL). She then spent five years in-house to Baxter Healthcare.

Gina Bicknell

Gina Bicknell

Gina Bicknell says, “The people at Pinsent Masons drew me to the firm. There’s a great group of down-to-earth lawyers and other professionals here who have a deep understanding in the life sciences and technology space.”

“At Pinsent Masons, we can draw expertise from all the firm’s practice areas, such as corporate, competition law, and litigation, among others. This creates an exciting offer for our clients across our sector groups.”

Pinsent Masons expands life sciences offer

In June 2021, Pinsent Masons also launched its first office in the Netherlands, welcoming Machteld Hiemstra as its third partner in Amsterdam. Hiemstra, who joined from Simmons & Simmons, also brings life science expertise, specifically regarding supplementary protection certificates and regulatory enforcement.

She joined two other partners at the firm’s new office: practice head Wouter Seinen, who came from Baker & McKenzie and focuses on TMT, data privacy and digital, and Alexander Spoor. The latter focuses on commercial litigation.

However, during 2021 the firm also lost two patent partners in Germany, following the departure of Michael Schneider in May, and Peter Koch in August. This leaves three patent-specialist partners in Munich.

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BananaIP’s Senior Partner among Top 300 IP Strategists



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Weekly Patent and Industrial Design Statistics- 10th September 2021 to 17th September 2021



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This week’s Patent and Design data has been compiled from the Official journal of patents and designs, published by the patent office on the 17th of September 2021. These statistics are presented to you by the Patent attorneys and experts of BananaIP Counsels, India’s leading Intellectual Property Firm.


A total of 756 patent applications have been published in the 38th issue of the Patent Journal, 2021. Out of the 756 applications published in the journal, 80 applications account for early publications while 676 applications account for ordinary publications or publications occurring after the 18 – month period. A total of 274 applications have been granted last week as compared to 490 grants in the week preceding the last thereby marking a decrease of about 44.08%

Early Publications

City Previous Week This Week Percentage of change
Delhi 96 18 81.25% decrease
Mumbai 50 8 84% decrease
Chennai 115 42 63.48% decrease
Kolkata 3 12 300% increase
Total 264 80 69.7% decrease

Ordinary Publications

City Previous Week This Week Percentage of change
Delhi 244 256 4.92% increase
Mumbai 325 156 52% decrease
Chennai 255 236 7.45% decrease
Kolkata 99 28 71.72% decrease
Total 923 676 26.76% decrease

TOTAL PUBLICATIONS (Previous Week): 1,187
Percentage difference: 36.31% decrease


A total of 1,510 FER’s were issued last week. Applicants and their agents can check if any of their patent applications have been examined by referring to the journal available here.
City No. of FER Issued
Delhi 511
Mumbai 344
Chennai 486
Kolkata 169
Total 1,510

Publications under Grant

City Previous Week This Week Percentage of change
Delhi 210 112 46.67% decrease
Mumbai 61 41 32.79% decrease
Chennai 164 93 43.29% decrease
Kolkata 55 28 49.09% decrease
Total 490 274 44.08% decrease

Number of Applications published based on ‘Applicant City’

Of the total 756 patent applications published in the journal last week, Delhi, Mumbai, Chennai, Bangalore, Hyderabad and Kolkata have contributed a total of 144 applications. The total applications from each of the previously mentioned cities are as follows – 31 applications from Delhi, 28 applications from Mumbai, 9 applications from Pune, 13 applications from Bangalore, 39 applications from Chennai, 16 applications from Hyderabad and 8 applications from Kolkata.
List of Cities 1st of January till date 10th September 2021 to 17th September 2021
Delhi 1,133 31
Mumbai 823 28
Pune 663 9
Bangalore 949 13
Chennai 1,078 39
Hyderabad 592 16
Kolkata 219 8


Total early publications 7,862
Total ordinary publications 26,056
Total applications published 33,918
Total grants in Delhi 8,231
Total grants in Mumbai 3,417
Total grants in Chennai 7,807
Total grants in Kolkata 3,306
Total Grants 22,761
Total applications examined 52,376

The design office has registered a total of 307 designs this week. The total designs registered from the 1st of January 2021 till date now adds to a total of 7,970 applications.
  • Total designs registered in the previous Week: 311
  • Total designs registered this Week: 307
  • Total designs registered from the 1st of January 2021 till date: 7,970
Data compiled by Jaya Pandey, Patent Associate, BananaIP Counsels

About BananaIP Counsels Patent Attorneys
The patent news bulletin is brought to you by the patent division of BananaIP Counsels, a top ranked patent and IP firm in India. Led by Senior Partners, Somashekar Ramakrishna, Nitin Nair and Vinita Radhakrishnan. BananaIP Counsels’ Patent Attorneys are among the leading patent practitioners in the country. They work with clients such as Mahindra and Mahindra, Samsung, HCL, Eureka Forbes, to name a few. The patent attorneys at BananaIP Counsels have strong technical and legal expertise in areas such as IT/Software, Artificial Intelligence (AI), Machine Learning, Data Analytics, Electronics and Telecommunication, Mechanical, Automotive, Green Energy, Traditional Medicine and Bio/Pharma domains. The firm is a first choice for clients looking for support in patent filing, prosecution, management and strategy in India, and across the world.
This weekly patent news bulletin is a part of their pro bono work, and is aimed at spreading patent awareness. You are free to share the news with appropriate attribution and back link to the source. If you have any questions, or need any clarifications, please feel free to write to
Disclaimer: Kindly note that the news bulletin has been put together from different sources, primary and secondary, and BananaIP’s reporters may not have verified all the news published in the bulletin. You may write to for corrections and take down.

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