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Kanazawa University research: Frequency modulated AFM sheds light on how dipeptides help organize, immobilize and catalyze

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KANAZAWA, Japan, March 4, 2025 /PRNewswire/ — Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, observe the configuration of different dipeptides on graphite electrodes and the subsequent arrangement of catalytic hemin on them to get an idea of the factors affecting its catalytic activity.

Self-assembled peptides have shown great promise for immobilizing and exploiting enzymes in catalytic applications. However, so far little has been known as to the structures of these self-assembled peptides and how this might affect the function of the enzyme immobilized. Now researchers led by Ayhan Yurtsever and Takeshi Fukuma at Kanazawa University, WPI-NanoLSI and Marie Sugiyama and Yuhei Hayamizu at Institute of Science Tokyo have compared the morphology and activity of hemin adsorbed on different dipeptide nanostructures using atomic force microscopy (AFM), cyclic voltammetry and H2O2 reduction reactions to see which offers the best performance and why (Figure 1).

The researchers used frequency modulated atomic force microscopy to study the structures that self-assembled from droplets of (XH)4 peptide solution on a graphite electrode, where H is histidine and X is an amino acid – either Y, L or V.  Their observations indicated that dipeptides self-assemble into repeating nanostructures resembling 2D crystals, with (YH)4 exhibiting the most ordered and stable configuration (Figure 2).

They then replaced the droplet of peptide solution with a droplet of hemin solution and used AFM to observe the configuration of the hemin as it bound to the peptide structure. They found the hemin aggregated on the dipeptide structures, and further observations with high-speed AFM revealed that the hemin formed wires as well as aggregates, and that while the wires were stationary the aggregates seemed to hop along and between rows of the dipeptide (Figure 3).

The researchers used cyclic voltammetry to measure how densely hemin bound to the dipeptide structures and found that it bound most densely to (YH)4. They attribute this to the tyrosine in (YH)4, which interacts with porphyrin through π-π interactions. However, adding just porphyrin to the dipeptide bound hemin structures had little effect, from which they deduced that “the Fe atom in hemin is critical for its interaction with peptides, and that the binding is not solely driven by π−π stacking interactions,” as they report in ACS Nano. While the density of hemin binding to (LH)4 was close to that for (VH)4, they found it bound slightly more densely to (VH)4, which they attribute to the greater hydrophobicity.

On applying a reduction current to the electrodes, the iron in hemin is reduced to the ferrous (+2) oxidation state. It can then reduce H2O2, thereby recovering its ferric oxidation state. Comparisons of how quickly the hemin bound structures reduce H2O2 revealed that hemin bound to (YH)4 had the highest catalytic activity, although this is unlikely due to the greater density of hemin at this surface since the densities for all three dipeptides were all within the same order of magnitude. Instead, the researchers suggest the greater reducing power of hemin bound to (YH)4 is on account of the more stable scaffold offered by that dipeptide (Figure 4).

“This research highlights the potential of simple peptide designs to create artificial enzymes with robust and durable catalytic interfaces for electrochemical applications,” conclude the researchers in their report. “Furthermore, the peptides’ ability to self-assemble on two-dimensional materials makes them promising candidates for biosensing applications.” 
Glossary

Atomic force microscopy

This imaging technique uses a nanosized tip at the end of a cantilever that is scanned over a sample. It can be used to determine the topography of a sample surface from the change in the strength of forces between the tip and the sample with distance, and the resulting deflection of the cantilever. It was first developed in the 1980s but a number of modifications have augmented the functionality of the technique since. It is better suited to imaging biological samples than the scanning tunnelling microscope developed that had been developed because it does not require a conducting sample.

In the 2000s Toshio Ando at Kanazawa University was able to improve the scanning speed to such an extent that moving images could be captured. This allowed people to use the technique to visualize molecular processes for the first time.

Catalysts

Catalysts influence the rate of a reaction without actually being used up in the reaction themselves. They can speed up the rate of all kinds of reactions, including the redox chemistry in the reduction of H2O2, and are prized in industry for improving yield and the profitability of processes.

Redox chemistry describes a host of reactions that involve the gaining (reduction) and losing (oxidation) of electrons by ions in the reaction. It sometimes manifests as the gaining of hydrogen (reduction) or oxygen (oxidation). The generation of water and oxygen from H2O2 is an example of a redox reaction where H2O2 is reduced to H2O and O2.

Porphyrin

Porphyrin is an organic compound made up of a ring of four substituted “pyrrole” ring molecules strung together with methine bridges (=CH-). Pyrrole is a cyclic molecule with the formula C4H4NH but in porphyrin other groups may be substituted in. An important porphyrin for living organisms is heme, which carries oxygen in the blood. Chlorophyl is also a porphyrin derivative

Hemin

Hemin is an iron-containing porphyrin found in the blood. It is the catalytic centre for many different proteins including cytochromes, peroxidases, myoglobins and hemoglobin. The iron in hemin is ferric, that is, it is in the +3 oxidation state (Fe3+).

π−π interactions

In aromatic molecules atoms are bound in the ring by π bonds, a type of covalent bond that takes its name from the shape of the electron orbital which forms lobes on either side of the atoms. π−π stacking describes the non-covalent interactions when these rings stack on each other.

Reference

Marie Sugiyama, Ayhan Yurtsever, Nina Uenodan, Yuta Nabae, Takeshi Fukuma, and Yuhei Hayamizu Hierarchical Assembly of Hemin-Peptide Catalytic Systems on Graphite Surfaces ACS NANO 2025.

DOI: 10.1021/acsnano.4c15373

URL: https://pubs.acs.org/doi/full/10.1021/acsnano.4c15373

Funding acknowledgements

Y.H. acknowledges support from the Precise Measurement Technology Promotion Foundation (PMTP-F), JSPS KAKENHI Grants 20H02564, 20H03593, 22H05408 and 24H01124, and JST CREST Grant Number JPMJCR24A4, Japan. T.F. acknowledges support from the World Premier International Research Center Initiative (WPI), MEXT, Japan, and JSPS KAKENHI Grant Number 21H05251.

Fig: https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Eye-catching-image_ACS-Nano_2025.2.jpg

Caption  Peptide self-assembly and subsequent hemin adsorption on graphite substrate. (A) High-resolution AFM image showing the molecular arrangement of (YH)4 peptides, forming 2D crystalline lattices on graphite in water. (B) Initial stage of hemin binding on self-assembled (YH)4 peptide nanostructures, revealing the formation of relatively unstable molecular rows along peptide lattices. (C) At later stages of adsorption, the hemin molecules form more stable and densely packed rows that ultimately cover the underlying peptide lattices completely.

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-1_ACS-Nano_2025.2.jpg
Fig. 1 A schematic illustration depicting the catalytic reaction mechanism of the system.

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-2_ACS-Nano_2025.2.jpg
Fig. 2: In situ FM-AFM images showing the unit cells of each peptide assemblies on graphite.

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-3_ACS-Nano_2025.2.jpg
Fig 3: In situ AFM image showing the immobilization of hemin on self-assembled (YH)4 peptides, revealing the formation of hemin molecular rows along peptide lattices.

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-4_ACS-Nano_2025.2.jpg
Fig. 4: Current density at −0.8 V as a function of H2O2 concentration for each peptide, with fitting curves shown as red solid lines. Imax represent the maximal current density.

Copyright for all figures ©2025 American Chemical Society

Contact

Kimie Nishimura (Ms)
Project Planning and Outreach, NanoLSI Administration Office
Nano Life Science Institute, Kanazawa University
Email: nanolsi-office@adm.kanazawa-u.ac.jp 

Kakuma-machi, Kanazawa 920-1192, Japan 

About Nano Life Science Institute (WPI-NanoLSI), Kanazawa University

Understanding nanoscale mechanisms of life phenomena by exploring “uncharted nano-realms”.

Cells are the basic units of almost all life forms. We are developing nanoprobe technologies that allow direct imaging, analysis, and manipulation of the behavior and dynamics of important macromolecules in living organisms, such as proteins and nucleic acids, at the surface and interior of cells. We aim at acquiring a fundamental understanding of the various life phenomena at the nanoscale.

https://nanolsi.kanazawa-u.ac.jp/en/

About the World Premier International Research Center Initiative (WPI)

The WPI program was launched in 2007 by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) to foster globally visible research centers boasting the highest standards and outstanding research environments. Numbering more than a dozen and operating at institutions throughout the country, these centers are given a high degree of autonomy, allowing them to engage in innovative modes of management and research. The program is administered by the Japan Society for the Promotion of Science (JSPS).

See the latest research news from the centers at the WPI News Portal: 
https://www.eurekalert.org/newsportal/WPI

Main WPI program site: www.jsps.go.jp/english/e-toplevel

About Kanazawa University

As the leading comprehensive university on the Sea of Japan coast, Kanazawa University has contributed greatly to higher education and academic research in Japan since it was founded in 1949. The University has three colleges and 17 schools offering courses in subjects that include medicine, computer engineering, and humanities.

The University is located on the coast of the Sea of Japan in Kanazawa – a city rich in history and culture. The city of Kanazawa has a highly respected intellectual profile since the time of the fiefdom (1598-1867). Kanazawa University is divided into two main campuses: Kakuma and Takaramachi for its approximately 10,200 students including 600 from overseas.
http://www.kanazawa-u.ac.jp/en/

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Toku launches Makimoto Flows, a visual builder for speech AI pipelines, taking its open-source initiative beyond transcription

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Developers can chain transcription, summarisation and call tagging on one canvas, test each step and export the pipeline as code, with every step processed in Singapore

SINGAPORE, Oct. 21, 2026 /PRNewswire/ — Toku Ltd. (SGX: TKU), a Singapore-headquartered AI-powered customer experience (CX) platform, has launched Makimoto Flows (“Flows”), a visual builder within its open-source conversational AI initiative where developers assemble speech AI pipelines block by block and test each stage on a recorded call. Flows is now live at makimoto.ai.

On the Flows canvas, developers connect blocks to build a speech AI pipeline and test each step individually. The Transcribe block converts audio into text using Kawa, the Summarise block generates a topic and short summary from the transcript, and the Tags block classifies each call across seven categories, including customer sentiment. Developers can see how audio moves from transcription to analysis, and control how each stage connects and runs. Every block runs in Singapore, so audio, transcripts and the resulting analysis stay in-country.

The Chained Analysis starter template puts these blocks together in one click, and developers can adjust any block and rerun it to compare results. Each block maps to a Makimoto API endpoint, and any flow can be exported as ready-to-run Python code, so developers can take the same capabilities into their own code for applications such as call recaps and call triage.

“Developers should have control over how their voice AI works, from the models they use to the way each stage connects. That is the principle behind Makimoto. Flows puts the orchestration layer in front of them: they can build a pipeline, run a recorded call through it and see what each step produces before anything reaches their customers. Models will keep changing. The ability to compose them, and to know where they run, is what lasts,” said Thomas Laboulle, Founder and CEO at Toku.

Flows builds on the composable architecture Toku set out when it introduced Makimoto in April 2026, and takes the initiative beyond transcription. Kawa, released on schedule on 1 July 2026, established the transcription layer through a Singapore-hosted API; summarisation and tagging endpoints followed in September; Flows now lets developers compose them visually. Next, Makimoto plans to add audio preparation blocks, starting with noise filtering, giving developers more control over how recordings are processed before transcription.

By pairing open-source development with enterprise-grade deployment, Makimoto complements Toku’s existing customer experience platform and supports long-term innovation opportunities across the Group’s AI roadmap.

Developers can create a free account at makimoto.ai, open the Chained Analysis template and run a sample recording, or one of their own call recordings, through it; each account includes 1,000 free minutes. Feedback reaches the Makimoto team directly from the portal.

About Toku

Headquartered in Singapore, Toku Ltd. (SGX Catalist: TKU) is a cloud-native, AI-powered customer experience platform purpose-built for enterprises operating in complex, multi-market environments. With deep roots in the APAC region and an expanding global footprint, Toku’s modular 360° CX Platform orchestrates customer interactions across voice, chat, email and digital channels while managing regulatory, linguistic and infrastructure complexity at scale.

Built on end-to-end ownership of its technology stack, from carrier-grade connectivity to AI applications, Toku delivers enterprise-grade security, reliability and deployment flexibility in commercial cloud, private data centres and hybrid environments. Its AI capabilities include transcription, summarisation, sentiment analysis, conversation analytics and governed virtual agents, designed to integrate seamlessly with enterprise systems and customer data.

Trusted by leading enterprises and public-sector organisations, Toku helps organisations streamline operations, scale customer engagement and deliver consistent experiences in fragmented markets worldwide.

For more information about Toku, visit toku.co.

About Makimoto

Makimoto is Toku’s open-source initiative, operated through Makimoto Technology Pte Ltd, a wholly owned subsidiary of the Toku Group, dedicated to building composable conversational AI infrastructure for Asia-Pacific. Its releases include Makimoto Kawa, a Singapore-hosted transcription API; summarisation and tagging endpoints; and Makimoto Flows, a visual builder for composing speech AI pipelines. For more information about Makimoto, visit makimoto.ai.

Forward-Looking Statements

This press release contains forward-looking statements regarding Toku’s expansion plans, business strategy and planned product releases. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Toku undertakes no obligation to update these statements to reflect subsequent events or circumstances.

Sponsor’s Statement

Toku Ltd. (the “Company”) was listed on Catalist of the Singapore Exchange Securities Trading Limited (the “Exchange”) on 22 January 2026. The initial public offering of the Company was sponsored by PrimePartners Corporate Finance Pte. Ltd. (the “Sponsor”). This press release has been reviewed by the Sponsor. It has not been examined or approved by the Exchange and the Exchange assumes no responsibility for the contents of this press release, including the correctness of any of the statements or opinions made or reports contained in this press release. The contact person for the Sponsor is Ms. Ng Shi Qing, 16 Collyer Quay, #10-00 Collyer Quay Centre, Singapore 049318, sponsorship@ppcf.com.sg.

Investor Relations Contact:
investor.relations@toku.co

Developers and Partners:
contact@makimoto.ai  

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SOURCE Toku Ltd.

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Conscious Spark LLC Launches Alphimiya® Neuro-Recalibration Framework Designed to Resolve C-Suite Revenue Plateaus

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New research-backed neuro-recalibration framework targets the autonomic nervous system’s threat response to managing high financial amounts, offering enterprise leaders a biological pathway to scaling.

ANTALYA, Turkey and ALBUQUERQUE, N.M., Oct. 21, 2026 /PRNewswire/ — Conscious Spark LLC, a research and advisory firm specializing in applied neuroscience for executive leadership, today announced the official launch of Alphimiya®, a proprietary C-suite neuro-recalibration framework designed to resolve corporate revenue plateaus by upgrading the biological capacity of enterprise decision-makers.

Developed to address the root causes of stalled enterprise growth, the Alphimiya® framework targets the human autonomic nervous system’s subconscious threat response to managing high financial amounts. When commercial leaders and CEOs attempt to scale past historical capital thresholds without recalibrating their stress response, the body’s natural survival mechanism triggers decision fatigue, strategic risk aversion, and systemic self-sabotage. Alphimiya® recalibrates this biological safety brake, enabling executive teams to hold, absorb, and scale larger financial volumes without physiological or operational friction.

“A corporate revenue plateau is rarely an operational or marketing failure; it is a biological safety brake embedded within executive leadership,” stated Dr. Ahmed Al-Nashi, Founder of Conscious Spark LLC. “When managing high financial amounts triggers an underlying physical stress response, the enterprise subconsciously contracts to remain in its perceived safe zone. Alphimiya® removes that biological friction, allowing C-level leaders to multiply revenue with calm, biological authority.”

The Alphimiya® framework restructures executive performance across three core operational pillars:

Sovereign Enterprise Scaling: Expands the nervous system’s tolerance for high-stakes capital, allowing leadership teams to scale revenue without experiencing executive burnout.

High-Value Deal Execution: Regulates autonomic stress responses during multi-million-dollar negotiations and volatile market entries, eliminating hesitation under pressure.

Restored Strategic Clarity: Removes chronic decision fatigue across C-suite teams, restoring mental focus and strategic presence inside and outside the boardroom.

By recalibrating the autonomic nervous system’s response to high capital exposure, Alphimiya® removes the subconscious biological brakes that lock corporate revenue at a standstill. Senior C-level executives and enterprise leadership teams seeking to evaluate their organization’s biological capacity can access the official executive briefing, case studies, and framework assessment directly at https://alphimiya.co/.

About Conscious Spark LLC

Conscious Spark LLC is a U.S.-registered firm specializing in executive education, training, and strategic performance consulting. Pioneering applied neuroscience for C-level leaders, founders, and commercial decision-makers, the firm utilizes its proprietary Alphimiya® methodology to enable leadership teams to recalibrate biological stress responses, resolve revenue ceilings, and build scalable corporations.

Media Relations Team
Conscious Spark LLC
Email: hello@consciousspark.online 
Website: https://alphimiya.co/

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SOURCE Conscious Spark LLC

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Daffodil Software Brings Multilingual Conversational AI to Aadhaar’s Udai Mascot

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GURUGRAM, India, Oct. 21, 2026 /PRNewswire/ — Daffodil Software showcased an AI-powered conversational experience featuring UIDAI’s Udai mascot at Aadhaar Samvaad 2026. Developed by Daffodil Software, the assistant is designed to help users access Aadhaar-related information through natural conversation, using official UIDAI as its reference knowledge base.

Daffodil Software has developed Udai, an AI-powered virtual mascot that helps users get clear, reliable answers about Aadhaar simply by talking to it. The assistant was showcased at Aadhaar Samvaad 2026, held in Kolkata on 29 September, coinciding with the 17th Aadhaar Day, where visitors watched it listen, respond, and gesture in real time in their own language.

For most people, questions about Aadhaar come up in daily life, and they usually need answers fast. Which documents do I need for an address change? How much does an update cost? How do I link Aadhaar to my bank account or mobile number? The answers exist, but finding them usually means working through long help pages and documents.

 Udai is designed to answer exactly these questions in a natural conversation, without anyone having to search through long help pages.

A conversation in the user’s own language

Udai speaks and understands 11 languages: Hindi, Tamil, Bengali, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia, and English. A user simply asks a question. Udai listens, works out the answer, and replies in the same language, with natural speech, matching lip movements and expressive hand gestures.

What sets Udai apart is how it is built. AI avatars rely on expensive, specialised graphics hardware to bring a face to life. Udai takes a simpler route. The character is created from pre-filmed footage, and its lip movements are matched to its speech in real time using lightweight processing that runs in a web browser.

The result is a smooth experience at 24 frames per second on ordinary servers, at a fraction of the usual cost per user. For a programme that serves hundreds of millions of people, that efficiency is what turns a nationwide rollout from an ambition into a practical plan.

“Our focus with Udai was to make Aadhaar-related information easier to access through natural conversation. Combining multilingual voice interaction with official reference content allowed our team to build an experience that is practical, approachable, and useful to users,” said Yogesh Agarwal, Founder and CEO, Daffodil Software.

Answers drawn only from official sources

The assistant uses official UIDAI material as its reference knowledge base: frequently asked questions, provisions of the Aadhaar Act, and government policy documents on Aadhaar services. It covers the topics users ask about most:

Enrolment and registrationAddress and demographic updatesFees, required documents and eligibilityeKYC and Virtual IDLinking Aadhaar with bank accounts, PAN and mobile numbersmAadhaar servicesGrievance redressal

Users don’t need to phrase their questions in any particular way. Udai understands everyday language, whether a question is spoken in English, Hindi, or asked in a mix of both, and finds the most relevant official information to answer it.

Built to be accurate, respectful, and secure

When a public service speaks directly to users, trust matters as much as convenience. Udai is protected by three layers of safeguards.

Accuracy first. Udai answers only from its verified knowledge base. Responses are grounded in a curated knowledge base of official UIDAI material. If a question falls outside Aadhaar, it guides the user back rather than offering an answer it cannot stand behind.

Respectful conversations. A screening layer catches abusive or offensive language in English, Hindi, and Hinglish before it reaches the assistant. Screening is designed to identify abusive language while supporting legitimate queries

Protection against misuse. Udai cannot be talked into abandoning its role, pretending to be someone else, revealing its internal setup, or answering beyond its approved scope. These checks work almost instantly, so users experience no delay.

What comes next?

Udai is planned to roll out in two phases.

In the first phase, the mascot will be placed in Aadhaar Centres. Visitors will be able to check information and understand processes on their own, such as which documents they need for an address change. This frees centre staff to focus on their core work instead of answering the same questions again and again.

In the second phase, Udai will come to the Aadhaar website and mobile app, taking the place of the current text-based chatbot, which was also built by Daffodil.

About Daffodil Software

Daffodil Software is a software engineering and AI solutions company serving businesses across industries. Its services span software consulting, product engineering, UI/UX design, AI/ML development, quality assurance, cloud and DevOps, and maintenance. The company serves sectors including healthcare, fintech, banking, technology, and digital commerce. Its client portfolio includes organizations such as the Reserve Bank of India, Mount Sinai Hospital, Maruti, Samsung, Pramerica Insurance, and Dangote Group. Daffodil Software has also been featured in industry research and recognition by Gartner, Everest Group, Zinnov, and Frost & Sullivan. For more information, visit https://www.daffodilsw.com

Media contact

Kunwar Pal Singh
media-relations@daffodilsw.com

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