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New high-selectivity nanozyme allows fast and visual illness diagnostics – NanoApps Medical – Official web site

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New high-selectivity nanozyme allows fast and visual illness diagnostics – NanoApps Medical – Official web site


To allow early analysis of acute diseases and efficient administration of persistent circumstances, point-of-care testing (POCT) expertise—diagnostics carried out close to the affected person—is drawing international consideration. The important thing to POCT lies in enzymes that acknowledge and react exactly with particular substances. Nonetheless, conventional pure enzymes are costly and unstable, and nanozymes (enzyme-mimicking catalysts) have suffered from low response selectivity. Now, a Korean analysis staff has developed a high-sensitivity sensor platform that achieves 38 occasions greater selectivity than current nanozymes and permits illness diagnostics seen to the bare eye inside simply 3 minutes.

On the twenty eighth, KAIST (President Kwang Hyung Lee) introduced that Professor Jinwoo Lee’s analysis staff from the Division of Chemical & Biomolecular Engineering, in collaboration with groups led by Professor Jeong Woo Han at Seoul Nationwide College and Professor Moon Il Kim at Gachon College, has developed a brand new single-atom catalyst that selectively performs solely peroxidase-like reactions whereas sustaining excessive response effectivity.

Utilizing bodily fluids similar to blood, urine, or saliva, this diagnostic platform allows take a look at outcomes to be learn inside minutes even outdoors hospital settings—vastly enhancing medical accessibility and making certain well timed remedy. The important thing lies within the visible detection of biomarkers (illness indicators) via colour modifications triggered by enzyme reactions. Nonetheless, pure enzymes are costly and simply degraded in diagnostic environments, limiting their storage and distribution.

To handle this, inorganic nanozyme supplies have been developed as substitutes. But, they sometimes lack selectivity—when hydrogen peroxide is used as a substrate, the identical catalyst triggers each peroxidase-like reactions (which trigger colour change) and catalase-like reactions (which take away the substrate), decreasing diagnostic sign accuracy.

To regulate catalyst selectivity on the atomic stage, the researchers used an modern structural design: attaching chlorine (Cl) ligands in a three-dimensional configuration to the central ruthenium (Ru) atom to fine-tune its chemical properties. This enabled them to isolate solely the specified diagnostic sign.

Experimental outcomes confirmed that the brand new catalyst achieved over 38-fold enchancment in selectivity in comparison with current nanozymes, with considerably elevated sensitivity and velocity in detecting hydrogen peroxide. Even in near-physiological circumstances (pH 6.0), the catalyst maintained its efficiency, proving its applicability in real-world diagnostics.

By incorporating the catalyst and oxidase right into a paper-based sensor, the staff created a system that would concurrently detect 4 key biomarkers associated to well being: glucose, lactate, ldl cholesterol, and choline—all with a easy colour change.

This platform is broadly relevant throughout varied illness diagnostics and might ship outcomes inside 3 minutes with out advanced devices or pH changes. The findings present that diagnostic efficiency might be dramatically improved with out altering the platform itself, however quite by engineering the catalyst construction.

This research is important in that it concurrently achieves enzyme-level selectivity and reactivity by structurally designing single-atom catalysts.” He added that “the structure-function-based catalyst design technique might be prolonged to the event of assorted metal-based catalysts and different response domains the place selectivity is crucial.”

Professor Jinwoo Lee of KAIST

Seonhye Park and Daeeun Choi, each Ph.D. candidates at KAIST, are co-first authors. The analysis was printed on July 6, 2025, within the prestigious journal Superior Supplies.

Supply:

KAIST (Korea Superior Institute of Science and Expertise)

Journal reference:

Park, S., et al. (2025). Breaking the Selectivity Barrier of Single‐Atom Nanozymes By means of Out‐of‐Airplane Ligand Coordination. Superior Supplies. doi.org/10.1002/adma.202506480.

The hidden disaster behind AI’s promise: Why information high quality turned an afterthought

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The hidden disaster behind AI’s promise: Why information high quality turned an afterthought


Firms rushed into AI adoption with out constructing the info foundations essential to make it work reliably. Now they’re discovering that even essentially the most subtle algorithms can’t overcome essentially flawed info, and the implications lengthen far past poor efficiency metrics. 

The issue is strategic. Firms are constructing AI purposes on information foundations that had been by no means designed to help machine studying, creating techniques that amplify present biases and produce unreliable outcomes at scale. The implications turn into seen in merchandise and purposes the place poor information high quality immediately impacts AI efficiency and reliability. 

This dialog shouldn’t have to occur. Information high quality is so important to profitable AI implementation that it needs to be a prerequisite, not an afterthought. But organizations throughout industries are discovering this fact solely after deploying AI techniques that fail to ship anticipated outcomes. 

From Gradual Progress to Immediate Entry 

Traditionally, organizations developed AI capabilities by way of a pure development. They constructed robust information foundations, moved into superior analytics, and finally graduated to machine studying. This natural development ensured information high quality practices advanced alongside technical sophistication. 

The generative AI revolution disrupted this sequence. All of a sudden, highly effective AI instruments turned obtainable to anybody with an API key, no matter their information maturity. Organizations may begin constructing AI purposes instantly, with out the infrastructure that beforehand acted as a pure high quality filter. 

Previously, firms grew AI functionality primarily based on very robust information foundations. However what modified within the final 18-24 months is that AI turned extremely accessible. Everyone jumped into AI adoption with out the preparatory work that historically preceded superior analytics initiatives. 

This accessibility created a false sense of simplicity. Whereas AI fashions can deal with pure language and unstructured information extra simply than earlier applied sciences, they continue to be essentially depending on information high quality for dependable outputs. 

The Rubbish In, Rubbish Out Actuality 

The basic programming precept “rubbish in, rubbish out” takes on new urgency with AI techniques that may affect real-world selections. Poor information high quality can perpetuate dangerous biases and result in discriminatory outcomes that set off regulatory scrutiny. 

Think about a medical analysis instance: for years, ulcers had been attributed to emphasize as a result of each affected person in datasets skilled stress. Machine studying fashions would have confidently recognized stress because the trigger, despite the fact that bacterial infections had been truly accountable. The info mirrored correlation, not causation, however AI techniques can’t distinguish between the 2 with out correct context. 

This represents real-world proof of why information high quality calls for consideration. If datasets solely comprise correlated info somewhat than causal relationships, machine studying fashions will produce assured however incorrect conclusions that may affect essential selections. 

The Human Component in Information Understanding 

Addressing AI information high quality requires extra human involvement, not much less. Organizations want information stewardship frameworks that embody material specialists who perceive not simply technical information buildings, however enterprise context and implications. 

These information stewards can determine delicate however essential distinctions that pure technical evaluation would possibly miss. In instructional expertise, for instance, combining dad and mom, academics, and college students right into a single “customers” class for evaluation would produce meaningless insights. Somebody with area experience is aware of these teams serve essentially totally different roles and needs to be analyzed individually. 

The one that excels with fashions and dataset evaluation may not be one of the best individual to grasp what the info means for the enterprise. That’s why information stewardship requires each technical and area experience. 

This human oversight turns into particularly essential as AI techniques make selections that have an effect on actual individuals — from hiring and lending to healthcare and legal justice purposes. 

Regulatory Stress Drives Change 

The push for higher information high quality isn’t coming primarily from inner high quality initiatives. As a substitute, regulatory strain is forcing organizations to look at their AI information practices extra rigorously. 

In america, numerous states are adopting rules governing AI use in decision-making, significantly for hiring, licensing, and profit distribution. These legal guidelines require organizations to doc what information they acquire, acquire correct consent, and preserve auditable processes that may clarify AI-driven selections. 

No person desires to automate discrimination. Sure information parameters can’t be used for making selections, in any other case, it will likely be perceived as discrimination and tough to defend the mannequin. The regulatory give attention to explainable AI creates further information high quality necessities. 

Organizations should not solely guarantee their information is correct and full but additionally construction it in ways in which allow clear explanations of how selections are made. 

Refined Biases in Coaching Information 

Information bias extends past apparent demographic traits to delicate linguistic and cultural patterns that may reveal an AI system’s coaching origins. The phrase “delve,” for instance, seems disproportionately in AI-generated textual content as a result of it’s extra frequent in coaching information from sure areas than in typical American or British enterprise writing. 

Due to bolstered studying, sure phrases had been launched and statistically seem a lot larger in textual content produced with particular fashions. Customers will truly see that bias mirrored in outputs. 

These linguistic fingerprints display how coaching information traits inevitably seem in AI outputs. Even seemingly impartial technical selections about information sources can introduce systematic biases that have an effect on consumer expertise and mannequin effectiveness. 

High quality Over Amount Technique 

Regardless of the trade’s pleasure about new AI mannequin releases, a extra disciplined strategy centered on clearly outlined use circumstances somewhat than most information publicity proves simpler. 

As a substitute of choosing extra information to be shared with AI, sticking to the fundamentals and interested by product ideas produces higher outcomes. You don’t wish to simply throw a number of good things in a can and assume that one thing good will occur. 

This philosophy runs counter to the frequent assumption that extra information mechanically improves AI efficiency. In apply, rigorously curated, high-quality datasets typically produce higher outcomes than large, unfiltered collections. 

The Actionable AI Future 

Wanting forward, “actionable AI” techniques will reliably carry out advanced duties with out hallucination or errors. These techniques would deal with multi-step processes like reserving film tickets at unfamiliar theaters, determining interfaces and finishing transactions autonomously. 

Think about asking your AI assistant to guide a ticket for you, and though that AI engine has by no means labored with that supplier, it can work out do it. You’ll obtain a affirmation e-mail in your inbox with none guide intervention. 

Attaining this degree of reliability requires fixing present information high quality challenges whereas constructing new infrastructure for information entitlement and safety. Each information area wants automated annotation and classification that AI fashions respect inherently, somewhat than requiring guide orchestration. 

Constructed-in Information Safety 

Future AI techniques will want “information entitlement” capabilities that mechanically perceive and respect entry controls and privateness necessities. This goes past present approaches that require guide configuration of knowledge permissions for every AI utility. 

Fashions needs to be respectful of knowledge entitlements. Breaking down information silos shouldn’t create new, extra advanced issues by unintentionally leaking information. This represents a basic shift from treating information safety as an exterior constraint to creating it an inherent attribute of AI techniques themselves. 

Strategic Implications 

  • The info high quality disaster in AI displays a broader problem in expertise adoption: the hole between what’s technically attainable and what’s organizationally prepared. Firms that deal with information stewardship, bias detection, and qc now can have vital benefits as AI capabilities proceed advancing. 
  • The organizations that succeed can be people who resist the temptation to deploy AI as rapidly as attainable and as an alternative spend money on the foundational work that makes AI dependable and reliable. This contains not simply technical infrastructure, but additionally governance frameworks, human experience, and cultural modifications that prioritize information high quality over velocity to market. 
  • As regulatory necessities tighten and AI techniques tackle extra consequential selections, firms that skipped information high quality fundamentals will face growing dangers. Those that constructed robust foundations can be positioned to reap the benefits of advancing AI capabilities whereas sustaining the belief and compliance vital for sustainable development. 

The trail ahead requires acknowledging that AI’s promise can solely be realized when constructed on stable information foundations. Organizations should deal with information high quality as a strategic crucial, not a technical afterthought. The businesses that perceive this distinction will separate themselves from these nonetheless scuffling with the basic problem of constructing AI work reliably at scale. 

Striving for Sustainability: Meet Nicole

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Striving for Sustainability: Meet Nicole


This weblog is a part of our concentrate on Cisco staff who’re “Striving for Sustainability” by discovering alternatives to combine sustainability of their day-to-day work.

At Cisco, packaging sustainability is a key side of our technique to transition to a round enterprise mannequin. We do that by designing packaging that protects our merchandise whereas additionally minimizing environmental impression. This implies utilizing much less supplies when potential and selecting extra sustainable supplies — akin to supplies that comprise recycled content material and are recyclable or reusable.

I not too long ago sat down with Nicole Kenney, Program Supervisor on the Packaging Engineering crew, who focuses her work on packaging and materials circularity. Nicole has been in a position to analysis and handle initiatives to assist a spread of sustainability points associated to packaging.

What impressed you to pursue a profession in packaging sustainability, and the way did you find yourself at Cisco?

A woman with long hair wearing a black topA woman with long hair wearing a black top
Nicole Kenney, Program Supervisor on the Packaging Engineering crew.

Nicole: Rising up, I used to be at all times in nature and continuously juggling a number of artwork initiatives. I knew I wished to do one thing artistic — that led me to the textile and attire business. After incomes my diploma in supplies and polymer science, I developed materials and packaging for out of doors efficiency attire and kit. The out of doors business was one of many first to take part within the sustainability motion, and thru my work on sustainability initiatives, I spotted preserving nature was my function.

You may surprise concerning the transition from attire merchandise to expertise {hardware}, however whatever the business, packaging challenges are common: the primary precedence is to guard the product. In a round financial system, the subsequent precedence is to think about the packaging’s end-of-life. These are the challenges I’ve loved tackling with our packaging engineering crew at Cisco.

The factor I actually love about packaging is that everybody can relate to it. Whether or not we’re making a purchase order at a retailer or receiving a cargo at house, packaging is part of our on a regular basis lives. It serves as an essential handshake between our model and our prospects, however to me, it additionally embodies the intersection of science, design, and psychology. Once I got here throughout the open Program Supervisor position and noticed Cisco’s environmental technique, I used to be drawn to the problem.

How is Cisco integrating sustainability in its packaging?

Nicole: For our Packaging Engineering crew, sustainability has developed from a nice-to-have to an important requirement for each new product introduction. This shift in our course of is essentially as a result of Cisco’s implementation of its Round Design Rules, which information us in integrating sustainability into all our outputs.

On the subject of materials selections, our packaging engineers are centered on lowering foam use and discovering options to plastic (or eliminating plastic altogether). Packaging optimization is one other space of focus; as an illustration, multi-packing will help save supplies, which reduces price and environmental impression.

A group of people, wearing blue lab coats, in a supply chain setting.A group of people, wearing blue lab coats, in a supply chain setting.
Nicole and Packaging Engineering crew visiting Flex Guadalajara.

Nevertheless, packaging sustainability varies drastically from one product to the subsequent. Our packaging engineers face a difficult job: there is no such thing as a set recipe for a extra round pack; slightly, it’s a balancing of a number of distinctive elements. They need to prioritize product safety, as a result of reshipping to exchange a broken product undermines sustainability. Additionally they take into account product quantity; if a product is high-volume, optimizing dice measurement for palletization effectivity is essential. The extra models that match on a pallet, the less pallets wanted for delivery, which streamlines logistics and helps our company internet zero technique.

Total, we attempt to combine recycled content material, scale back plastic utilization, and allow packaging to take part in a round system.

What position does expertise play in advancing Cisco’s packaging sustainability efforts?

Nicole: On the subject of expertise and packaging, supplies innovation is crucial to advancing packaging sustainability. Our Packaging Engineering crew collaborates carefully with our suppliers to rethink supplies from starting to finish, with a selected concentrate on fiber-based options.

A packaging test lab.A packaging test lab.
Instance of a packaging check lab the place samples are reviewed for high quality and measured towards specs for conformance.

Two examples of supplies innovation embrace fiber flute and paper modular cushions. These are each fiber-based cushioning programs that we use as an alternative of typical foam. They’re made out of post-consumer recycled content material and, like corrugated cushions, are broadly accepted in present recycling infrastructure on the finish of their life cycle.

These new supplies assist contribute to our foam discount efforts. Nevertheless, we’re not merely swapping them out; in depth collaboration happens in the course of the design and validation course of. Prototypes are created, match checks are performed, and packaging exams are carried out to make sure the brand new supplies added to our packaging toolkit meet each manufacturing and sustainability necessities.

What are some challenges you may encounter and the way do you overcome them?

Nicole: One problem of lowering packaging impacts is knowing how greatest to measure them. On the subject of sustainability, greenhouse fuel emissions (GHG) are typically the first measure of environmental impression. Nevertheless, analyzing the carbon footprint of Cisco’s merchandise, packaging accounts for 3% or much less of the manufacturing carbon footprint on common. Given this, Cisco’s Packaging Engineers hold the carbon footprint in thoughts, however design for recyclability to divert waste from landfill and assist the round financial system.

One other problem is discovering protecting supplies that may meet our world provide chain calls for and are regionally accessible. Thrilling materials improvements akin to mushroom foam or bio-based plastics usually spark curiosity, however continuity in sourcing and provide could be tough. It’s additionally difficult to make sure that correct restoration infrastructure for these new supplies is out there within the markets the place we promote our merchandise. These sorts of fabric improvements are sometimes higher fitted to different product varieties, akin to meals or client packaged items.

Three women standing in a factory setting.Three women standing in a factory setting.
With Packaging Engineering colleagues standing subsequent to liner paper rolls at a corrugating manufacturing facility.

At Cisco, we design our packaging to be separable and recyclable. Most of our packaging is fiber-based corrugated board which meets these necessities. Nevertheless, we can’t management which bin our prospects will use for packaging waste disposal. Recycling infrastructure varies drastically from city to city, each within the US and globally. This fragmentation poses the subsequent problem: how you can educate our prospects on the easiest way to handle packaging waste. We wish prospects to make knowledgeable choices about disposal after receiving our merchandise. To deal with this, we’ve got begun to launch merchandise with easy however informative messaging to assist them perceive what to do with their packaging waste.

What future developments do you see in packaging sustainability?

A family of four enjoying some red rock formations.A family of four enjoying some red rock formations.
Nicole enjoys touring in nature along with her household.

Nicole: A efficiently scaled round financial system requires collaboration between the enterprise sector, shoppers, and authorities. Amongst them, every entity has a significant position to play in driving sustainability. We’ve noticed firms striving to supply extra sustainable options. Shoppers are more and more looking for extra sustainable choices, evidenced by their buying selections. Now, we’re seeing a surge of collaboration among the many three entities.

As an organization, we’re conscious that governments and the non-public sector are prioritizing circularity, and we acknowledge that this has an impression on our prospects. That is an thrilling time as a result of we’re partaking with our prospects on packaging sustainability greater than ever earlier than. They’re keen to grasp our packaging roadmap, and we’re equally concerned with theirs. There’s a powerful willingness to share, perceive, and collaborate, making it an exhilarating time.

This development offers me hope that as we work collectively, the round financial system is achievable throughout our enterprise ecosystem.

You may be taught extra about our packaging targets in Cisco’s Function Reporting Hub.

 

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Experimental Drug Reverses PTSD Signs in Mice – Already in Human Trials – NanoApps Medical – Official web site

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Experimental Drug Reverses PTSD Signs in Mice – Already in Human Trials – NanoApps Medical – Official web site


Extreme ranges of GABA launched by astrocytes impair the mind’s means to extinguish worry responses in PTSD, however a newly recognized drug goal gives promising hope for therapy.

Many individuals with post-traumatic stress dysfunction (PTSD) proceed to relive painful reminiscences lengthy after the precise menace is gone. Their brains appear unable to let go of worry, a phenomenon that has lengthy puzzled scientists and made efficient therapy tough. Present medicines that concentrate on serotonin receptors usually present solely restricted aid, and normally assist only a fraction of these affected.

Now, researchers from the Institute for Fundamental Science (IBS) and Ewha Womans College have recognized a beforehand unknown mind course of that could be liable for this persistent worry response. They’ve additionally discovered a possible therapy that might change how PTSD is managed.

The research, led by Dr. C. Justin LEE from the IBS Heart for Cognition and Sociality and Professor LYOO In Kyoon from Ewha Womans College, found that astrocytes (star-shaped help cells within the mind) can produce an excessive amount of GABA (gamma-aminobutyric acid). This extra GABA interferes with the mind’s means to suppress fear-related reminiscences, a key issue for individuals with PTSD.

Importantly, the staff examined a drug referred to as KDS2010 that crosses the blood-brain barrier and particularly blocks the monoamine oxidase B enzyme, which drives this irregular GABA manufacturing. In mouse fashions, the drug was capable of scale back PTSD-like signs. KDS2010 has already accomplished Part 1 human security trials, positioning it as a promising choice for future PTSD therapy.

Excessive GABA Ranges and Lowered Mind Exercise

PTSD stays tough to deal with, with present medicines focusing on serotonin pathways offering restricted aid for a lot of sufferers. The brand new research targeted on the medial prefrontal cortex (mPFC), a area of the mind essential for regulating worry, and located that PTSD sufferers had unusually excessive ranges of GABA and decreased cerebral blood circulate on this space. These findings emerged from mind imaging research of greater than 380 members. Importantly, GABA ranges decreased in sufferers who confirmed scientific enchancment, pointing to the chemical’s central position in restoration.

Astrocyte Derived GABA and Therapeutic Effects of KDS2010 in PTSD
Astrocyte-Derived GABA and Therapeutic Results of KDS2010 in PTSD. Mind imaging of PTSD sufferers revealed unusually excessive ranges of GABA and decreased cerebral blood circulate within the prefrontal cortex, displaying that adjustments strongly correlated with symptom severity. In animal fashions, this extra GABA was traced to reactive astrocytes producing it abnormally attributable to elevated MAOB and decreased ranges of the GABA-degrading enzyme ABAT. This disrupted regular mind operate and impaired the flexibility to extinguish worry. Remedy with KDS2010, a selective MAOB inhibitor, efficiently lowered astrocytic GABA, restored mind exercise, and rescued worry extinction, highlighting its potential as a therapeutic choice. Credit score: Institute for Fundamental Science

To uncover the origin of this extra GABA, the researchers examined postmortem human mind tissue and used PTSD-like mouse fashions. They found that astrocytes, not neurons, have been producing irregular quantities of GABA through the enzyme monoamine oxidase B (MAOB). This astrocyte-derived GABA impaired neural exercise, blocking the mind’s means to overlook traumatic reminiscences.

When the researchers administered KDS2010, a extremely selective, reversible MAOB inhibitor developed at IBS, the mice confirmed normalized mind exercise and have been capable of extinguish worry responses. The drug decreased GABA ranges, restored blood circulate within the mPFC, and re-enabled reminiscence extinction mechanisms. The research thus confirms astrocytic MAOB as a central driver of PTSD signs, and MAOB inhibition as a viable therapeutic path.

A Reverse Translational Method

A significant problem of the research was linking scientific findings in people with mobile mechanisms within the lab. The researchers addressed this by making use of a “reverse translational” technique: they started with scientific mind scans and moved backward to determine the mobile supply of dysfunction, then confirmed the mechanism and examined drug results in animal fashions. This strategy led to a brand new understanding of how glial cells — lengthy considered passive — actively form psychiatric signs.

“This research is the primary to determine astrocyte-derived GABA as a key pathological driver of worry extinction deficit in PTSD,” mentioned Dr. WON Woojin, a postdoctoral researcher and co-first writer of the research. “Our findings not solely uncover a novel astrocyte-based mechanism underlying PTSD, but additionally present preclinical proof for a brand new therapeutic strategy utilizing an MAOB inhibitor.”

Director C. Justin LEE, who led the research, emphasised that “This work represents a profitable instance of reverse translational analysis, the place scientific findings in human guided the invention of underlying mechanisms in animal fashions. By figuring out astrocytic GABA as a pathological driver in PTSD and focusing on it through MAOB inhibition, the research opens a very new therapeutic paradigm not just for PTSD but additionally for different neuropsychiatric problems reminiscent of panic dysfunction, melancholy, and schizophrenia.”

The researchers plan to additional examine astrocyte-targeted therapies for numerous neuropsychiatric problems. With KDS2010 presently present process Part 2 scientific trials, this discovery might quickly result in new choices for sufferers whose signs haven’t responded to standard therapies.

Reference: “Astrocytic gamma-aminobutyric acid dysregulation as a therapeutic goal for posttraumatic stress dysfunction” by Sujung Yoon, Woojin Gained, Suji Lee, Kayoung Han, Eunji Ha, Juheon Lee, Seung Jae Hyeon, Yoonji Joo, Haejin Hong, Hyangwon Lee, Yumi Music, Ki Duk Park, Bertrand R. Huber, Junghee Lee, Richard A. E. Edden, Minah Suh, Hoon Ryu, C. Justin Lee and In Kyoon Lyoo, 28 July 2025, Sign Transduction and Focused Remedy.
DOI: 10.1038/s41392-025-02317-5

Funding: Institute for Fundamental Science

ios – @react-native-firebase/analytics setup downside after improve No Firebase App ‘[DEFAULT]’ has been created – name firebase.initializeApp()

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ios – @react-native-firebase/analytics setup downside after improve No Firebase App ‘[DEFAULT]’ has been created – name firebase.initializeApp()


Error: No Firebase App ‘[DEFAULT]’ has been created – name firebase.initializeApp()

"@react-native-firebase/analytics": "^21.11.0",
"@react-native-firebase/app": "^21.11.0",
"react-native": "0.79.5",
"expo": "^53.0.17",

Earlier than the improve analytics used to work and there was no subject. The config was okay. After the improve we needed to change some js init code and the issues arose. Additionally it’s price mentioning that it really works on android, which leads me to consider that there could be a problem with GoogleService-Information.plist

The setup:

"@react-native-firebase/app"

is added to plugins.

each

google-services.json
GoogleService-Information.plist

are added to .env and uploaded to EXPO

analytics.js

import { getApp } from '@react-native-firebase/app'
import {
  logEvent,
  setAnalyticsCollectionEnabled,
  getAnalytics,
} from '@react-native-firebase/analytics'

const app = getApp()

export default {
  analytics: () => {
    const analytics = getAnalytics(app)
    return {
      logScreenView: params => logEvent(analytics, 'screen_view', params),
      setAnalyticsCollectionEnabled: enabled =>
        setAnalyticsCollectionEnabled(analytics, enabled),
      logEvent: (occasion, params) => logEvent(analytics, occasion, params),
      setUserProperty: (title, worth) => analytics.setUserProperty(title, worth),
    }
  },
}

App.js

import analyticsModule from './lib/analytics'

const analytics = analyticsModule.analytics()
analytics?.setAnalyticsCollectionEnabled(true)

useAuth.getState().addOnSignedInListener(() => {
  analytics?.setUserProperty('logged_in', 'true')
})

useAuth.getState().addOnSignedOutListener(() => {
  analytics?.setUserProperty('logged_in', 'false')
})

GoogleService-Information.plist





    CLIENT_ID
    xxxx.apps.googleusercontent.com
    REVERSED_CLIENT_ID
    com.googleusercontent.apps.xxxx
    ANDROID_CLIENT_ID
    xxxx.apps.googleusercontent.com
    API_KEY
    xxxx
    GCM_SENDER_ID
    xxxxx
    PLIST_VERSION
    1
    BUNDLE_ID
    com.xx.xxxxxx
    PROJECT_ID
    xxxxx-mobile
    STORAGE_BUCKET
    xxxxx-mobile.appspot.com
    IS_ADS_ENABLED
    
    IS_ANALYTICS_ENABLED
    
    IS_APPINVITE_ENABLED
    
    IS_GCM_ENABLED
    
    IS_SIGNIN_ENABLED
    
    GOOGLE_APP_ID
    1:xxxxx:ios:xxxxxxx

Any thought what the difficulty could be?

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