Data analytics anyone?
We are a registered company with Suruhanjaya Syarikat Malaysia under a name of The Catalytixs Solutions with a registration number 202103243002 (IP0560702-W).
Contact us at thecatalytixs@gmail.com or fill in this form.
The Catalytixs initiates spreading knowledge and skills on data analytics. We start with data analytics for #environmental studies. The posters depict our tentative workshop this year.
To register, click here, scan the QR code in the posters or contact us at thecatalytixs@gmail.com. More to come in 2026!
Starting a food, beverage, cosmetic, or consumer product business? Understanding Good Manufacturing Practice (GMP) and Halal requirements is essential to ensure product quality, consumer confidence, and future Halal certification.
Join our 4-Hour Online Short Course designed specifically for start-up companies, entrepreneurs, and SMEs seeking practical knowledge that can be applied immediately.
Online Short Course
GMP & Halal Requirements for Start-Up Companies
Date: 15 September 2026 (Tuesday)
Duration: 4 Hours (Online)
Fee: RM30 only
Trainer: Nur Assyafa Binti Muhamad Aini
Throughout this course, you will learn:
Fundamental principles of Good Manufacturing Practice (GMP)
Essential halal requirements for food and consumer products
Practical GMP implementation for start-up businesses
Common non-compliances and how to avoid them
Preparing your business for halal certification
Whether you are planning to launch a new product, improve your production practices, or prepare for halal certification, this course provides practical guidance and real-world insights to help your business grow with confidence.
An e-Certificate will be provided to all participants.
For further information, contact thecatalytixs@gmail.com. Register now by scanning the QR code on the poster or clicking this link: https://docs.google.com/forms/d/e/1FAIpQLSdruwC4a48iP7HtrS3EYOpgm2wINMDhoWP5X78iQUNl30XWoQ/viewform
Limited seats available. Secure your place today and take the first step towards building a quality-driven and halal-compliant business!
Managing references doesn't have to be difficult. Join our 4 Hour Online Short Course on Mendeley Reference Management for Research Writing and learn how to organise your references, insert citations, and generate bibliographies automatically with confidence.
Whether you are preparing a research proposal, thesis, dissertation, journal article, or conference paper, this hands-on training will help you improve your writing efficiency while ensuring accurate referencing.
Date: 1 August 2026 (Saturday)
Time: 9.00 AM to 1.00 PM
Mode: Online (Live Session)
Course Fee: RM25
Trainer: NUREEN SABRINA ALBAKRI BT SHAHRIN ALBAKRI
What You Will Learn
Build and organise your Mendeley library efficiently
Import journal articles and PDFs with ease
Insert in-text citations directly in Microsoft Word
Generate bibliographies automatically
Apply different citation styles for journals, theses, and reports
Troubleshoot common referencing issues
This course is suitable for undergraduate and postgraduate students, researchers, lecturers, academicians, research assistants, and anyone involved in academic or technical writing.
For further information, contact thecatalytixs@gmail.com. Register now by scanning the QR code on the poster or click this link: https://docs.google.com/forms/d/e/1FAIpQLSdruwC4a48iP7HtrS3EYOpgm2wINMDhoWP5X78iQUNl30XWoQ/viewform
Seats are limited. Register today and make your research writing faster, smarter, and more professional.
Are you working with complex datasets and looking for an effective way to uncover hidden patterns, reduce data dimensionality, and gain meaningful insights? Join our Online Short Course on Introduction to Principal Component Analysis (PCA) and learn one of the most widely used multivariate data analysis techniques through an interactive and hands-on learning experience.
Date: 18 July 2026 (Saturday)
Time: 9:00 AM to 1:00 PM
Mode: Online (Live)
Duration: 4 Hours
Course Fee: RM25 (Inclusive of e Certificate)
Trainer: Nur Eqmal Dinie bin Nor Azmi
Researcher | Chemometrics Enthusiast | Data Analyst | Educator
What You Will Learn
Fundamentals and applications of PCA
Data preparation and preprocessing techniques
Performing PCA using XLSTAT
Interpreting score plots, loading plots, scree plots, correlation circles, and biplots
Identifying patterns, clusters, outliers, and important variables
Best practices for presenting PCA results in research publications
Hands-On Training
Participants will perform PCA step by step using XLSTAT and real datasets, making this course suitable for beginners who wish to apply PCA confidently in their own research.
Who Should Attend?
Researchers • Academicians • Postgraduate Students • Undergraduate Students • Laboratory Analysts • Food Scientists • Chemists • QA/QC Professionals • Anyone working with multivariate datasets
Limited Seats Available! Register now by scanning the QR code on the poster or click this link: https://docs.google.com/forms/d/e/1FAIpQLSdruwC4a48iP7HtrS3EYOpgm2wINMDhoWP5X78iQUNl30XWoQ/viewform
For further information, contact thecatalytixs@gmail.com
Whether you are involved in food science, chemistry, life sciences, halal authentication, environmental studies, or any field dealing with complex datasets, this short course will equip you with practical PCA skills that you can immediately apply in your research and data analysis. We look forward to seeing you online!
Struggling with citations, references, and formatting your journal paper? Jom upgrade your workflow and write like a pro.
Event Details
Date: Saturday, 20 June 2026
Time: 9:00 AM – 1:00 PM
Mode: Online (Link will be provided)
Trainer: Dr. Muhamad Shirwan Abdullah Sani
Fee: RM 25
What You Will Learn
Efficient reference management using Zotero
Seamless citation & bibliography insertion in Microsoft Word
Organising your research library professionally
Formatting manuscript structure, tables, figures & cross-references
Smart tricks for faster writing and editing
Why You Should Attend?
This session is highly practical and suitable for postgraduate students, researchers, and academicians who want to improve productivity and produce high-quality manuscripts.
Stop wasting time on manual formatting. Learn the system once, use it forever.
Register Now. Limited seats available. Register via the link: https://docs.google.com/forms/d/e/1FAIpQLSdruwC4a48iP7HtrS3EYOpgm2wINMDhoWP5X78iQUNl30XWoQ/viewform?fbclid=IwY2xjawQ915RleHRuA2FlbQIxMABicmlkETFySDV1N0dpdTZIcXFpRXhZc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHu69lRU7mqyHJizq8K28Qa-5D9f7ATeENZG1eeAsSzp0arEe18a2LB9DIsaN_aem_juYYZpVRTrfZWE3FObAb1w or scan the QR code now to secure your spot! Contact thecatalytixs@gmail.com for further information.
Date: 2 May 2026; Saturday
Time: 9:00 AM – 1:00 PM
Platform: Online (Link will be provided upon registration)
Fee: RM 25 per person
Organiser: The Catalytixs Solutions
MEET YOUR TRAINER
Dr. Muhamad Shirwan Abdullah Sani
Registered Analytical Chemist & Data Scientist
HRDC-Accredited Trainer
Expertise in Chemometrics & Halal Authentication
WHAT YOU WILL LEARN
Fundamentals of PCA using a clear and practical approach
Understanding of score plots and loading plots
Data preprocessing techniques, including scaling and centering
Step-by-step PCA execution
Confident interpretation of PCA results
Real case studies derived from analytical and food data
WHO SHOULD ATTEND
Undergraduate and postgraduate students
Researchers and academicians
Laboratory analysts
Anyone working with multivariate datasets
WHY YOU SHOULD JOIN
Provides an easy-to-understand explanation with no heavy mathematics
Features hands-on demonstrations and real dataset applications
Skills learned are directly applicable to research and industry work
Certificate of participation provided. Limited slots available — register soon to secure your spot!
SCAN TO REGISTER
For registration and enquiries, please scan the QR code on the poster or register here: https://docs.google.com/forms/d/e/1FAIpQLSdruwC4a48iP7HtrS3EYOpgm2wINMDhoWP5X78iQUNl30XWoQ/viewform. You can also reach out to us directly:
📧 Email: thecatalytixs@gmail.com
📱 WhatsApp: +60 18-319 5007
Amino acids (AAs) are fundamental units of proteins, synthesised from translated DNA sequences, thus forming the building blocks of proteins. Given their significant role in protein composition, AAs are pivotal in authenticating halal sources, particularly as target analytes for profiling. The wide variety of AAs, with 17 distinct types identified in certain studies, supports a profiling approach for authentication rather than a targeted method. Researchers have utilised high-performance liquid chromatography with fluorescence detection (HPLC-FLD) to identify and quantify these AAs, following a protocol that includes freeze-drying the samples to achieve moisture levels below 10% to mitigate interference from the sample matrix. Subsequent acid hydrolysis and incubation at 110°C for 24 hours prepare the samples for analysis.
Prior to amino acid quantification, it is essential to establish calibration curves for each AA using a minimum of seven working standards spiked with an internal standard. An internal standard, such as L-aminobutyric acid (AABA), is incorporated in ultra-high-performance liquid chromatography with a diode-array detector (UHPLC-DAD) to minimise matrix effects. This protocol includes AABA spiking in the acid-hydrolysed samples. It is also advisable to avoid serial dilution to prevent systematic errors in preparing working standards. The derivatisation of AAs depends on the instrumental analysis requirements, with fluorescence derivatisation often employed for HPLC-FLD analysis. For instance, ortho-phthalaldehyde (OPA) and 9-fluorenyl-methyl chloroformate (FMOC) have been used to derivatise primary and secondary AAs, respectively. Similarly, fluorescence derivatisation agents may be applied before UHPLC-DAD injection, demonstrating the versatility of fluorescence derivatisation for both FLD and DAD.
The UHPLC or HPLC analysis of AAs typically involves eluting two mobile phases through a membrane filter to a C18 column. A common setup employs an aqueous solution of AccQ.Tag concentrate as eluent A, alongside an acetonitrile-water mixture as eluent B. This gradient setup allows optimal AA separation, achieving effective peak resolution for quantification, typically within a 10-minute elution window for satisfactory AA separation. Each AA’s peak emerges at a specific retention time, and as working standard concentrations increase, peak areas expand, creating a calibration curve with robust linearity. This calibration curve can be expressed as:
As/Ais = m Cs/Cis + c
Where As and Ais represent the peak areas of the working standard and internal standard, respectively; m denotes the calibration curve’s slope; Cs and Cis are the working and internal standard concentrations, and c is the y-axis intercept. The linearity of this calibration curve is confirmed by criteria such as a high correlation coefficient near 1, insignificant variance differences between experimental and theoretical F-values, bounded confidence intervals, and a randomly distributed residual plot.
Following AA identification and quantification, multivariate data analysis (MDA), including principal component analysis (PCA), discriminant analysis (DA), and partial least square-discriminant analysis (PLS-DA), is recommended to authenticate protein-based products. In the next post, we'll delve into targeted polypeptide analysis as part of a protein-based approach. Further reading: https://www.sciencedirect.com/science/article/abs/pii/B9780323916622000156 and https://journals.iium.edu.my/inst/index.php/hs/article/view/83/84
Starting 2022, The Catalytixs initiates spreading knowledge and skills on data analytics. We start with data analytics for #environmental studies. The posters depict our tentative workshop this year.
To register, click here, scan the QR code in the posters or contact us at thecatalytixs@gmail.com. More to come in 2022!
Starting 2022, The Catalytixs initiates spreading knowledge and skills on data analytics. We start with data analytics for #environmental studies. The posters depict our tentative workshop this year.
To register, click here, scan the QR code in the posters or contact us at thecatalytixs@gmail.com. More to come in 2022!
Our data analyst assists clients on:
1) Preparing and describing the dataset (pre-processing, adequacy test)
2) Dataset visualization and analysis (principal component analysis, cluster analysis)
3) Dataset modelling and machine learning (discriminant analysis, regression, support vector machine)
Contact us at thecatalytixs@gmail.com or fill in this form.