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RecruitingNCT07631663MOFBUpdated Jun 8, 2026

Satiety Evaluation of Mature Okra Flour-incorporated Biscuit

An interventional study of Mature Okra Flour-incorporated Biscuit (MOFB) and Control Biscuit in Appetite Regulation and Healthy Young Adults, sponsored by Universiti Putra Malaysia. Recruiting at 1 site in Malaysia. Open to participants aged 18 Years to 39 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-08.

Sponsored by Universiti Putra Malaysia · Not applicable, Interventional, and Other

From the registry’s dates

  • Primary completion was expected by Jun 2026, 4 months ago, but the record still lists the study as recruiting.
  • Started May 2026; still recruiting 5 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
30
Allocation
Randomized
Ages
18 Years to 39 Years
Sex
All
01

Study summary

This study aims to evaluate whether eating biscuits made with mature okra flour can help young adults feel fuller (enhance satiety) and change certain blood markers compared to eating standard biscuits.

Mature okra is a nutrient-dense agricultural by-product that is often discarded due to its tough texture. For this study, mature okra pods are dried and ground into a flour, which is then used to replace 10% of the wheat flour in a custom biscuit formulation.

Participants will take part in a single-blind, randomised trial where they will consume either the okra-incorporated biscuits or the standard control biscuits on separate occasions. Researchers will measure participants' perceived fullness over 165 minutes using a visual rating scale. Blood samples will also be collected at specific intervals during this time to evaluate blood glucose levels, appetite-related hormones, and metabolic responses.

Read the detailed description

Okra is one of the top ten most consumed vegetable crops by Malaysians, with 1.7kg per capita consumption as reported by the Department of Statistic Malaysia in 2023. Among the total 65.6 thousand tonnes of output available, around 7.7% of the okra is turned into waste and partially fed to the livestock. Mature okra becomes unmarketable and turns into waste because it develops a tougher, more fibrous texture and a less desirable taste, unlike tender, immature okra, which is typically preferred for consumption. Studies in the literature found that mature okra also possesses comparable nutrient content or is even better than immature okra in certain aspects. Incorporation of agricultural waste, for instance, mature okra, into food products can offer significant health advantages besides reducing waste and also promotes a sustainable future, aligning with the objectives of Sustainable Development Goals (SDGs) goal No.12. Besides, transforming mature okra and other agricultural by-products into functional or value-added foods is an urge to address environmental and unsustainable use of natural resources. This study aims to evaluate the impact of mature okra flour-incorporated biscuits (MOFB) on perceived satiety and metabolomic responses. Mature okra flour will be prepared by dehydrating and grinding okra pods, then incorporated into biscuits at 10% substitution of wheat flour. This ratio of mature okra flour incorporation is pre-determined based on the previous phase study, as this ratio of incorporation results in a better nutritional profile and an acceptable sensorial score. Subsequently, thirty healthy young adults will participate in a single-blind, randomised trial comparing MOFB and control biscuits. Satiety will be assessed using the SLIM scale and blood glucose measurements over 165 minutes post-consumption. Blood samples will be collected for hormone and metabolomic analyses using ELISA, RIA, and Liquid Chromatography-Mass Spectrometry (LC-MS). The findings will help determine whether MOFB enhances satiety and alters metabolic profiles, supporting its potential as a functional food for appetite regulation.

02

Conditions studied

  • Appetite Regulation
  • Healthy Young Adults

Keywords

  • Satiety response
  • Blood glucose response
  • Hormonal change
  • Metabolomic analysis
03

In context

Lead sponsor

Universiti Putra Malaysia is the lead sponsor of 145 studies on the registry; 50 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 39 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Young adults aged between 18 and 39 years.
  • Normal (BMI).

Exclusion criteria

Exclusion Criteria:

  • Smokers.
  • Pregnant or lactating women.
  • Individuals with daily medication prescriptions for chronic metabolic conditions, cardiovascular management, or hormonal regulation.
  • Use of daily medications/supplements that influence appetite regulation, metabolic signalling, or systemic metabolomic profiles, including:

    1. Hormonal , , and oral/injectable anti-obesity medications (e.g., GLP-1 agonists).
    2. Antihypertensives and lipid-lowering agents (statins).
    3. Chronic Nonsteroidal Anti-Inflammatory Drugs (NSAIDs).
    4. Daily fibre supplements.
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
30 participants (estimated)

Study arms

  • Experimental
    Mature Okra Flour-incorporated Biscuit (MOFB) Group

    Young adult participants assigned to this group will consume the functional biscuit formulation incorporated with mature okra flour. Perceived satiety, metabolomic profiles, and appetite signalling will be assessed post-ingestion.

    Other: Mature Okra Flour-incorporated Biscuit (MOFB)

  • Active comparator
    Control Biscuit Group

    Young adult participants assigned to this group will consume the standard control biscuit formulation made with 100% wheat flour. Perceived satiety, metabolomic profiles, and appetite signalling will be assessed post-ingestion.

    Other: Control Biscuit

Interventions

  • OtherMature Okra Flour-incorporated Biscuit (MOFB)

    Standard biscuit formulation manufactured where 10% of the wheat flour is substituted with mature okra flour, designed to enhance the nutritional profile while maintaining acceptable sensory scores.

  • OtherControl Biscuit

    Standard biscuit formulation manufactured using 100% wheat flour, designed to match the sensory profile and appearance of the experimental biscuit without the inclusion of mature okra flour.

06

What researchers measure

Primary outcomes

  1. Satiety Response

    The satiety response after biscuit consumption will be determined by the Satiety Labeled Intensity Magnitude (SLIM) scale. The SLIM scale consists of a 100mm vertical line with labelled phrases to indicate satiety: "greatest imaginable fullness", "extremely full", "very full", "moderately full", "slightly full", "neither hungry nor full", "slightly hungry", "moderately hungry", "very hungry", and "extremely hungry", and "greatest imaginable hunger". The first satiety survey is filled before breakfast (time 0), and the remaining surveys at 15, 45, 75, 105, 135 and 165 min later.

    Time frame: Baseline (0 minutes) and post-consumption at 15, 45, 75, 105, 135, and 165 minutes

  2. Change in Plasma Insulin Concentration

    Plasma concentration of insulin will be measured using an enzyme-linked immunosorbent assay (ELISA) kit. This metric evaluates metabolic responses to the biscuit interventions.

    Time frame: Fasting state (0 minutes), 75 minutes, and 165 minutes post-consumption

  3. Change in Active Glucagon-Like Peptide-1 (GLP-1) Concentration

    Plasma concentration of active GLP-1 will be measured using an enzyme-linked immunosorbent assay (ELISA) kit. This metric evaluates anorexigenic hormone responses to the biscuit interventions.

    Time frame: Fasting state (0 minutes), 75 minutes, and 165 minutes post-consumption

  4. Change in Plasma Peptide YY (PYY3-36) Concentration

    Plasma concentration of PYY3-36 will be measured using an enzyme-linked immunosorbent assay (ELISA) kit. This metric evaluates anorexigenic hormone responses to the biscuit interventions.

    Time frame: Fasting state (0 minutes), 75 minutes, and 165 minutes post-consumption

  5. Change in Plasma Cholecystokinin (CCK) Concentration

    Plasma concentration of CCK will be determined using a radioimmunoassay (RIA) kit. This metric evaluates anorexigenic hormone responses to the biscuit interventions.

    Time frame: Fasting state (0 minutes), 75 minutes, and 165 minutes post-consumption

  6. Change in Active Ghrelin Concentration

    Plasma concentration of active ghrelin will be measured using an enzyme-linked immunosorbent assay (ELISA) kit. This metric evaluates orexigenic hormone responses to the biscuit interventions.

    Time frame: Fasting state (0 minutes), 75 minutes, and 165 minutes post-consumption

  7. Changes in Metabolite Profiles

    For metabolomic analysis, the blood samples will be taken in the fasting state (0 min) and after the last satiety survey (165 min). Metabolites will be quantified by Liquid Chromatography-Mass Spectrometry (LC-MS) analysis, and the serum samples will be prepared according to In Vitro Diagnostics Research (IVDr) standard operating procedures.

    Time frame: Fasting state (0 minutes) and 165 minutes post-consumption

Secondary outcomes

  1. Blood Glucose Response

    The capillary blood glucose will be measured using the finger-prick method during the fasting state (time 0), and at 15, 45, 75, 105, 135 and 165 min later.

    Time frame: Baseline (0 minutes) and post-consumption at 15, 45, 75, 105, 135, and 165 minutes

  2. Ad Libitum Energy Intake at a Subsequent Meal

    Following the 165-minute satiety evaluation session, participants will be served an ad libitum meal consisting of fried rice and requested to consume as much as they want until comfortably full. The weight of the food consumed will be calculated by subtracting the remaining food weight from the initial served weight using a digital weighing scale (accurate to 1.0 g). Total energy intake will be calculated by multiplying the weight of the food consumed by the specific caloric content of the fried rice (expressed in kilocalories).

    Time frame: At the end of the satiety evaluation session (165 minutes post-biscuit consumption)

07

Study locations

1 of 1 sites recruiting
  • Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM)
    Serdang, Selangor 43400, Malaysia
    Recruiting
    • Chee Yee Tan · Contactcheeyee721@gmail.com · +60134904250
    • Mohd Redzwan Sabran, PhD · Principal investigator
    • Chee Yee Tan · Sub investigator
08

References and documents

Individual participant data

Plan to share: No — Individual participant data will not be publicly shared to protect participant confidentiality in accordance with institutional ethics committee guidelines. However, aggregated study data and final statistical outcomes will be made available upon reasonable request to the corresponding author.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started May 2026 (actual). Primary completion is estimated for Jun 2026, 1 month after the start.

How these figures are worked out, and which studies are left out of them.

Registered
May 28, 2026
First posted
Jun 8, 2026
StartActual
May 15, 2026
Primary completionEst.
Jun 25, 2026
CompletionEst.
Jun 25, 2026
Last update
Jun 8, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 8, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07631663
Responsible party
Tan Chee Yee (PhD candidate, Universiti Putra Malaysia) — Principal investigator
First posted
Jun 8, 2026
Start date
May 15, 2026
Primary completion
Jun 25, 2026 (estimated)
Completion
Jun 25, 2026 (estimated)
Last update
Jun 8, 2026

Study contacts

Chee Yee Tan
Contact
cheeyee721@gmail.com
+60134904250
Mohd Redzwan Sabran, PhD
Contact
mohdredzwan@upm.edu.my
+60397692766
Mohd Redzwan Sabran, PhD
study chair · Universiti Putra Malaysia

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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