Skip to main content

Poly-herbal tablet formulation by design expert tool and in vitro anti-lipase activity

Abstract

Background

Traditional medicine being ethnic is preferred worldwide even in these modern days. Obesity is a lifestyle disorder. Many chemically synthesized medicines are available. Poly-herbal medicines can be one of the safest alternatives with less side effects in treating obese patients.

Results

The in vitro anti-lipase activity was carried out for a different concentration. The formulation of the poly-herbal tablets was designed using the Design Expert software. The pre-compression and post-compression studies show that the formulation F6 showed better results of all the formulations designed. Stability study results showed that the poly-herbal tablets were stable throughout the studies.

Conclusion

The results show that F6 is the better formulation based on the tablet evaluation, and all the extracts showed inhibitory activity against pancreatic lipase indicating its active role in the treatment of obesity.

Background

Obesity is a severe as well as chronic disorder which is also an important risk factor for lifestyle-related chronic disease. When an imbalance is caused in the consumption of energy (food) and expenditure of energy leads to the condition called obesity, lack of knowledge regarding the nutritional diet and large consumption of fatty materials leads to their accumulation in the human body. The fats when consumed in excess get stored in the adipose tissue of the body. This accumulation leads further to other chronic diseases and disorders in human beings and acts as the risk factor. Secondary diseases are hypertension, type II diabetes, coronary heart disease, hyperlipidemia, and many more disease and disorder. Obesity is said to be one of the considerable contributors of non-communicable chronic disease worldwide.

The increase in consumption of high-fat food and the modern lifestyle are the most prevailing reasons for obesity. Obesity is becoming a global problem in developed as well as developing countries. According to the WHO (World Health Organization), the prevalence of obesity nearly tripled between 1975 and 2016. In 2016, about 13% of the world population was found to be obese. In the USA, the obesity prevalence is 26% which is the highest and 3% in South East Asia which is the lowest. Three hundred forty million children and adolescents are overweight and obese in 2016 [1, 2]. The key enzyme responsible for hydrolysis of fats is pancreatic lipase (PL) which is found in the GI tract; this enzyme can also be considered as the crucial target in lipid metabolism and absorption [3].

The imbalance of energy expenditure and product remains the primary influencer of obesity; other factors like psychotropic treatment steroid hormones contraceptives protease inhibitors also contribute to weight gain that is drug-induced weight gain. Decrease in physical activities of the human being with the past lifestyle is also the cause of obesity. Chemicals such as poly-chlorinated bi-phenols and some alkyl phenols act on the endocrine system as system disruptors and affect the normal function leading to obesity [4].

The time of body intake and the number of meals taken vary from person to person and sometimes community. The time of food intake also plays a key role in the balancing of energy consumption, and these directly influence obesity [5].

The breaking down of the dietary fats and oils is carried out by the enzyme lipase (triacylglycerol acylhydrolases). This enzyme has been synthesized by the higher organisms [6].

The inhibition of pancreatic lipase activity which reduces intestinal absorption is one category of drug, and orlistat is a good example. The appetite-suppressing mechanism is used by other categories of drugs, and the example is sibutramine. Apart from providing anti-obesity, these drugs are responsible for having different side-effects like headache, increase in blood pressure, dry mouth, constipation, and many others.

As the chemically synthesized drugs have many side effects, the demand is towards herbal or natural anti-obesity medicine. Many medicinal valued herbs have been studied for anti-obesity activity by preparing extracts of different solvents [7, 8].

Methods

Materials

Indian elm (Holoptelea intigrifolia), kodo millet (Paspalum scrobiculatam), myrobalan (Terminalia chebula) are collected from the local region of Belagavi (India) located at 15.87° N 74.5° E and authenticated at ICMR Belagavi by Dr. Harsha Hegde.

Collection and extraction

All the raw/crude materials were dried at room temperature for 7 days. The dried raw materials were ground to form a coarse powder. Cold maceration was carried out for the coarse powder using 70% ethanol. The extract was filtered after 48 h of cold maceration. Marc was used for further extraction with the Soxhlet apparatus using 95% ethanol. Filtrates collected from both cold maceration and Soxhlet were combined together. Combined filtrate is then taken from concentration using a rotary evaporator (IKA RV 10) at 40 °C under reduced pressure. The concentrated extract was from the rotary evaporator and then finally kept on water bath to evaporate the remains of solvents in the extract.

Phyto-chemical investigations

The phyto-chemical investigation was carried out for all crude drug materials for the identification of different classes.

Physico-chemical investigation

Ash value

Total ash

Weigh about 2–5 g of raw material and then take it into the crucible and keep it at a temperature of about 500 °C–600 °C in the muffle furnace till the raw material forms carbon-free ash, then it is cooled, weigh the ash formed, and calculate using the formula:

$$ \mathrm{Total}\ \mathrm{ash}\ \left(\%\right)=\left[\mathrm{weight}\ \mathrm{of}\ \mathrm{the}\ \mathrm{total}\ \mathrm{ash}\ \mathrm{obtained}/\mathrm{weight}\ \mathrm{of}\ \mathrm{the}\ \mathrm{crude}\ \mathrm{drug}\right]\times 100 $$

Acid insoluble ash

The carbon-free ash obtained is boiled with about 25 ml of hydrochloric acid for about 5 min. The insoluble matter is collected in the crucibles (sintered) with ashless filter paper and then wash with hot water and ignite at 500 °C till constant weight is obtained and further calculate.

$$ \%\mathrm{Acid}\ \mathrm{insoluble}\ \mathrm{ash}=\left[\mathrm{weight}\ \mathrm{of}\ \mathrm{acid}\ \mathrm{insoluble}\ \mathrm{ash}/\mathrm{weight}\ \mathrm{of}\ \mathrm{the}\ \mathrm{crude}\ \mathrm{drug}\right]\times 100 $$

Water soluble ash

The ash (carbon-free) obtained is boiled with 25 ml of water; then with ashless paper, it is collected in the crucibles (sintered), washed with hot water, and ignited at 500 °C to obtain constant weight; the crucible is weighed and calculation is done.

$$ \%\mathrm{Water}\ \mathrm{soluble}\ \mathrm{ash}=\left[\left(\mathrm{weight}\ \mathrm{of}\ \mathrm{total}\ \mathrm{ash}-\mathrm{weight}\ \mathrm{of}\ \mathrm{water}\ \mathrm{insoluble}\ \mathrm{ash}\right)/\mathrm{weight}\ \mathrm{of}\ \mathrm{crude}\ \mathrm{drug}\right]\times 100 $$

Extractive values

Alcohol soluble extractives

About 4 g of raw material is added to 25 ml of alcohol in a flask and is kept for 24 h aside. The solution was filtered and the filtrate is poured in petri plates and kept at 105 °C for 5–6 h, and finally, the extract is weighed.

$$ \%\kern0.5em \mathrm{Alcohol}\ \mathrm{soluble}\ \mathrm{extract}\mathrm{ive}=\left[\mathrm{weight}\ \mathrm{of}\ \mathrm{extract}/\mathrm{weight}\ \mathrm{of}\ \mathrm{plant}\ \mathrm{material}\right]\times 100 $$

Water soluble extractives

About 4 g of raw material is added to 25 ml of water in a flask and is kept for 24 h aside. The solution was filtered and the filtrate is poured in petri plates and kept at 105 °C for 5–6 h, and finally, the extract is weighed.

$$ \%\kern0.5em \mathrm{Water}\ \mathrm{soluble}\ \mathrm{extract}\mathrm{ive}=\left[\mathrm{weight}\ \mathrm{of}\ \mathrm{extract}/\mathrm{weight}\ \mathrm{of}\ \mathrm{plant}\ \mathrm{material}\right]\times 100 $$

Loss on drying (LOD)

Weigh about 2 g of raw material and add it to a porcelain dish and keep it in an oven at a temperature of about 100–105 °C until a constant weight is gained and then cooled and weighed.

$$ \mathrm{LOD}\left(\mathrm{Loss}\ \mathrm{on}\ \mathrm{drying}\right)=\mathrm{Initial}\ \mathrm{weight}\ \mathrm{of}\ \mathrm{the}\ \mathrm{raw}\ \mathrm{material}-\mathrm{Final}\ \mathrm{weight}\ \mathrm{of}\ \mathrm{the}\ \mathrm{raw}\ \mathrm{material} $$

In vitro lipase activity

The plant extracts were first macerated with phosphate buffer saline (1 mg/ml) for 4–5 h at 37 °C, and then the solution is centrifuged at speed of 3500–4000 rpm for 10–15 min. The supernatant is further used as the stock solution, and further working standards are prepared by diluting with the phosphate buffer saline. Standard solution is prepared by dissolving one capsule content of orlistat in 12 ml of dimethylsulphoxide (DMSO) solution. The enzyme solution is prepared by dissolving 6 mg of porcine pancreatic lipase enzyme in 10 ml of the buffer solution (should be prepared and used freshly). Both the standard and the sample (plant extract) are incubated at 37 °C after adding 50 μl of enzyme solution, 25 μl of PNPB (8.4 μl of PNPB in 10 ml of acetonitrile) solution, and 100 μl of buffer solution. ELISA plate reader is used to determine the lipase activity at 400 nm and the inhibition percentage was calculated by using the formula:

$$ \mathrm{Percentage}\ \mathrm{inhibition}=\left[\left(\mathrm{absorbance}\ \mathrm{of}\ \mathrm{blank}=\mathrm{absorbance}\ \mathrm{of}\ \mathrm{test}\right)/\mathrm{absorbance}\ \mathrm{of}\ \mathrm{blank}\right]\times 100 $$

Anti-oxidant activity

DPPH (2, 2-diphenyl-1-picrylhydrazyl) reagent is used for performing the anti-oxidant activity by UV-spectroscopy method. DPPH solution of 0.1 Mm concentration is prepared to water as a solvent. Different concentrations of the sample solutions are prepared from a stock of 1 mg/ml stock. Ascorbic acid is used as the standard reference substance and the stock solution of 1 mg/ml is prepared. An equal amount of DPPH is added to an equal amount of both the sample and standard solution separately and allowed to react in a dark environment, and then these solutions are checked for absorbance at 517 nm under UV-spectroscopy. The process is carried out in triplicate and the average is considered.

$$ {\displaystyle \begin{array}{l}\left(\%\right)\mathrm{DPPH}\ \mathrm{Scavenging}\ \mathrm{Effect}=\Big[\left(\mathrm{Absorbance}\ \mathrm{of}\ \mathrm{standard}-\mathrm{Absorbance}\ \mathrm{of}\ \mathrm{sample}\right)\\ {}/\mathrm{Absorbance}\ \mathrm{of}\ \mathrm{standard}\Big]\times 100\end{array}} $$

Design expert DoE

The 32 full factorial design was applied to the formulation design of the poly-herbal tablets. The two different factors are evaluated in this design at three different levels. The two independent variables selected are ethyl cellulose (binder) and microcrystalline cellulose (disintegrant). There are three different levels for the selected variables as low, intermediate, and high, and they are coded as − 1, 0, and + 1, respectively. The responses are considered as dependent variables, and they are hardness, friability, and disintegration time of the designed and formulated poly-herbal tablets. The software Design Expert 12 (Stat-Ease Minneapolis, MN, USA) was used for the design of the formulation. The total of 9 runs (formulations) were designed (Table 1) and the relationship of the dependent and independent variables was studies by gaining the surface responses, and finally, the significant model was achieved.

  1. 1.

    Independent levels:

    Ethyl cellulose(X1)

    Microcrystalline cellulose (X2)

  2. 2.

    Dependent levels:

    Hardness (Y1)

    Friability (Y2)

    Disintegration time (Y3)

Table 1 Levels of independent variables in the tablet design

Tablet formulation

Pre-compression studies

Angle of repose

The angle of repose study was carried out for the powder by the funnel method. Blend of powder was taken and poured using the funnel to form a heap of the blend. The funnel was adjusted so that the tip of the cone heap just touches the lower tip of the funnel. The base diameter of the blend heap and the height of the heap were measured and the same was carried out three times, and the average diameter was calculated. Further, the angle of repose was calculated using the formula:

$$ \mathrm{Tan}\ \uptheta =\mathrm{height}\ \mathrm{of}\ \mathrm{the}\ \mathrm{cone}\ \mathrm{formed}\ \mathrm{by}\ \mathrm{powder}/\mathrm{radius}\ \mathrm{of}\ \mathrm{the}\ \mathrm{cone}\ \mathrm{formed}\ \mathrm{by}\ \mathrm{powder} $$

Loose bulk density

The bulk density of the powder is measured by filling the graduated cylinder with the powder of known quantity. The volume of the graduated cylinder is measured and density is calculated by using formula:

$$ \mathrm{Bulk}\ \mathrm{Density}=\mathrm{mass}\ \mathrm{of}\ \mathrm{powder}/\mathrm{volume}\ \mathrm{of}\ \mathrm{the}\ \mathrm{powder}\ \mathrm{in}\ \mathrm{graduated}\ \mathrm{cylinder} $$

Tapped bulk density

Density tester apparatus is used to carry out the tapped density parameter. The known mass of powder is filled in the graduated cylinder of the density tester and then fixed to the apparatus. The testing apparatus is tapped from a specific height of 14 mm and another 3 mm on the surface of the density tester for 100 taps or until a constant volume is measured, and then tapped density is calculated by:

$$ \mathrm{Tapped}\ \mathrm{Density}=\mathrm{mass}\ \mathrm{of}\ \mathrm{powder}\ \mathrm{taken}/\mathrm{final}\ \mathrm{volume}\ \mathrm{of}\ \mathrm{powder}\ \mathrm{obtained}\ \mathrm{after}\ \mathrm{tapping}\ \mathrm{process} $$

Carr’s compressibility index

The compressibility is calculated by using the results obtained from bulk density and tapped density and then substituting them in the formula:

$$ \mathrm{Carr}'\mathrm{s}\ \mathrm{Compressibility}\ \mathrm{Index}=100\ \left({V}_i-{V}_f\right)/{V}_i $$

where Vi = initial volume of the powder before tapping process and Vf = final volume of the powder after tapping process.

Hausner ratio

Hausner ratio is the value obtained from the initial volume of the powder to that of the final volume of the powder after the tapping process.

$$ \mathrm{Hausner}\ \mathrm{ratio}={\mathrm{V}}_{\mathrm{o}}/{\mathrm{V}}_{\mathrm{f}} $$

where V0 = unsettled apparent volume of the powder and Vf = final volume of powder after tapping.

Formulation of tablets

The plant extracts and the excipients are weighed in accordance to the formula designed by the help of the DoE software, and the formula is shown in Table 2. The ingredients are mixed properly and sieved to obtain uniform mixture of the ingredients. The mixture is then taken to tablet press, and the tablets are formed by direct compression technique.

Table 2 Formula table

Post-compression studies

All the post-compression study triplicates were recorded, and the average was considered as the final record.

Hardness

The hardness of the tablets is measured using the Monsanto hardness tester, and the hardness of the tablets is recorded in kg/cm2 unit.

Thickness

The thickness of the tablets is measured using vernier calipers, and the thickness is recorded in mm unit.

Diameter

Diameter is measured in mm unit by using the vernier calipers, and the data is recorded.

Friability

Roche friability tester is used for performing the friability studies of the tablets. Twenty tablets from each batch are taken and weighed together and recorded as the initial weight of the tablets. Then the tablets are loaded in the apparatus and the apparatus is rotated for 4 min that is 100 rotations (25 rpm). Finally, the tablets are removed and de-dusted. The de-dusted tablets are weighed and recorded as final weight, and friability is calculated by:

$$ \mathrm{Percentage}\ \mathrm{of}\ \mathrm{Friability}=\left(\mathrm{Initial}\ \mathrm{weight}-\mathrm{final}\ \mathrm{weight}\right)/\mathrm{Initial}\ \mathrm{weight}\times 100 $$

Weight variation

For studying the weight variations in the tablet formulation, twenty tablets were taken from each bath and weighed individually and the weight was noted. The average weight of the tablets was calculated and then further substituted in the formula

Weight variation = individual weight of the tablet/average weight of the tablets × 100

Disintegration

The disintegration of the tablets was carried out using the disintegration apparatus, 900 ml of distilled water is added to the disintegration vessel, and six tablets from each batch are taken and loaded in the apparatus. The temperature is maintained at 37 ± 2 °C. And 28–32 cycles per minutes frequency is adjusted, and the time taken for the tablets to disintegrate is recorded and the time taken must not be more than 15 min for the conventional tablets.

Accelerated stability testing

The stability of the formulated poly-herbal tablets is carried out for the period of 30 days at 25 °C ± 2 °C/RH 60 ± 5% (room temperature) and 40 °C ± 2 °C/RH 75 ± 5% (accelerated temperature); the evaluation is performed on the 7th, 15th, and 30th days.

Results

Phyto-chemical investigation results

Phyto-chemical investigation results are shown in Table 3.

Table 3 Phytochemical investigation data

Results of Physico-chemical investigation

Results of Physico-chemical investigation are shown in Table 4.

Table 4 Physico-chemical investigation of extract

Results of in vitro anti-lipase activity

Results of in vitro anti-lipase activity are shown in Table 5 and Fig. 1.

Table 5 In vitro lipase activity results
Fig. 1
figure 1

In vitro lipase inhibition activity data

Results of anti-oxidant activity

Results of anti-oxidant activity are shown in Fig. 2.

Fig. 2
figure 2

DPPH scavenging activity data

Results of formulation

Pre-compression results

Pre-compression results are shown in Table 6.

Table 6 Pre-compression study data

Post-compression results

Post-compression results are shown in Table 7.

Table 7 Post-compression study data

Surface responses of DoE

Surface responses of DoE are shown in Table 8 and Figs. 3, 4, and 5.

Table 8 Responses
Fig. 3
figure 3

Hardness responses

Fig. 4
figure 4

Friability responses

Fig. 5
figure 5

Disintegration time responses

The overlay plot (Fig. 6) has two colors which differentiate the runs/trails of formulation into the criteria of the dependent variables. The yellow color shows the region which satisfies the criteria whereas the grey region shows the unsatisfied region. The best results are obtained by the formulation F6 and is considered as the optimized one.

Fig. 6
figure 6

Overlay plot

Accelerated stability testing

Accelerated stability testing is shown in Table 9.

Table 9 Accelerated stability study data

Discussion

Phytochemical investigations

The pre-formulation studies start with the phytochemical investigations. In the phytochemical investigation, all the three extracts were tested for phytochemical presence. Qualitative screening of phytochemicals is carried out separately for the three extracts. Qualitative screening of major classes like alkaloids, carbohydrates, flavonoids, tannins, and steroids is carried out. The results of these phytochemical tests revealed the presence of alkaloids, tannins, and flavonoids in the extract of Indian elm; presence of alkaloids, tannins, and carbohydrates in the extract of kodo millet; and the presence of tannins in the extract of myrobalan. The results of phytochemical investigations are shown in Table 3.

Physicochemical investigations

The physicochemical investigation is one of the important investigation test in the pre formulation area of the herbs and extracts. The parameters carried out under the physicochemical investigations were loss on drying (LOD), ash values (total ash, acid insoluble ash value, water soluble ash value), and extractive values (alcohol soluble extract, water soluble extract). The extracts are treated separately for the physicochemical investigations. The results are presented in Table 4.The highest percentage of loss on drying (LOD) was shown by Indian elm (28%) followed by myrobalan (23%) and kodo millet (22%). The result of total ash value parameter was shown highest by Indian elm (11%), kodo millet (2.5%), and myrobalan (2.5%). In case of acid insoluble ash value parameter Indian elm (2%), kodo millet (1%), and myrobalan (1%), where as in the case of water insoluble ash value parameter Indian elm, kodo millet, and myrobalan, all showed up the same percentage value that is 1.5%. Extractive value parameter was carried out as alcohol soluble extract and water soluble extract. Indian elm showed the lowest alcohol soluble extractive value (7.5%), kodo millet (10.75%), and myrobalan (17.7%). In water soluble extractive value, kodo millet is the lowest value (13.5%) whereas myrobalan showed 19.5% and Indian elm 37.5%.

In vitro lipase activity

In vitro lipase activity was carried out for all the three extracts separately as well as the formulation and compared with the standard orlistat. Increasing concentration from 10–320 μg/ml were taken to carry out the in vitro lipase activity. Collective results of the in vitro lipase activity are presented in the Table 5 and the graph of the activity in Fig. 1. From concentration level 10, 20, and 40 μg/ml, kodo millet showed up the higher response when the in vitro lipase activity was conducted and the response was 37.01431 (10 μg/ml), 103.8855(20 μg/ml), and 179.1411(40 μg/ml). At level 80 μg/ml (363.39), Indian elm had the highest response when compared to other extracts. At level 160 μg/ml (424.33), myrobalan showed up the highest, where in at level 320 μg/ml, the highest as well as similar response was shown up by both myrobalan (496.314) and Indian elm (497.750). In case of formulations, there was an increase in response with increase in the concentration of the extract mixtures, so the combination of the extract was preferred [9,10,11].

Anti-oxidant activity

DPPH scavenging activity of the formulation was carried out with ascorbic acid as the reference standard. Concentration range 20–100 μg/ml was selected, and the solutions of both sample and standard used were prepared freshly. The response of the activity showed there was an increase in response with increase in concentration in the selected range. The results are shown in Fig. 2.

Pre-compression parameters

In the formulation of the poly-herbal tablets, the pre-compression parameters performed were angle of repose (θ), loose bulk density (g/cm3), tapped bulk density (g/cm3), Carr’s Compressibility Index, and Hausner ratio. For the better compression of the tablet, it is important that the pre-compression parameters show a better response. The response reveals the flow properties, moisture content, and compressing properties. Data of the pre-compression parameter is presented in Table 6.

Post-compression parameters

Post compression parameters are the quality control aspect of the compressed tablet. Variation in the ratio of binder and disintegrant is responsible for the variation in response of hardness, friability, and disintegrations. The other quality control parameters reported are thickness, diameter, and weight variation. Collective results of post-compression are shown in Table 7.

Design expert (DoE)

The Design Expert 12 software is used in the present study for the formulation design. The 32 factorial design is applied where two independent variables are selected, binder (ethyl cellulose) and disintegrant (Microcrystalline cellulose), which have three different levels, low (− 1), intermediate, (0) and high (+1), which are considered. Based on this variables, nine different formulations are designed with varying ratios of the binder and disintegrant. The results obtained by conducting evaluation parameters of tablets are added to the software DoE for obtaining the results for model significance. The responses are recorded in the form of hardness, friability, and disintegrant for all the nine formulations .The response data is shown in the Table 8 and response surfaces are shown for hardness (Fig. 3), friability (Fig. 4), and disintegration time (Fig. 5). Increase in binder will increase the hardness and decrease in the friability and disintegration time will increase. Increase in the concentration of disintegrant will reduce the disintegration time and decrease the hardness level. Hence, the optimum ratio of the binder and disintegrant is require. The formulation F6 shows the optimum ratio. The DoE surface response of all Y1, Y2, and Y3 showed that the model was significant as the p value was less than 0.05% and the overlay plot of the trails shows that formulation F6 satisfies all the criteria better among all the nine formulations and is further considered for optimization [12,13,14].

Accelerated stability testing

The stability study was conducted for formulation F6 for duration of 30 days at two different conditions, one at room temperature (25 °C ± 2 °C/RH 60 ± 5%) and accelerated temperature (40 °C ± 2 °C/RH 75 ± 5%), and the results (Table 9) showed that the poly-herbal tablets were stable [15].

Conclusion

The phyto-chemical investigation and the phyisco-chemical were carried out prior to the poly-herbal tablet formulation. The in vitro anti-lipase activity was carried out for a different concentration . The 32 factorial design was applied by using the design of experiment software, and the 9 different formulations were prepared with variation in disintegrating agent and binding agent ratios. The formulation F6 with (20:40 ratio) showed better results of the evaluation parameters conducted. The formulation F6 was considered the better one and stability studies were conducted with showed good stability results. Although the extracts showed up to have the inhibitory activity against the pancreatic enzymes in the in vitro study, but it cannot be considered effective on human beings until the pre-clinical and clinical studies are carried out which are required to prove the efficiency of the extracts. Results of the in vitro study can be considered as the background highlights for the future investigations of the herbal extracts which can be developed to the medicinal value ingredient for treatment and prevention of obesity and related metabolic diseases.

Availability of data and materials

All data and material are available upon request.

Abbreviations

WHO:

World Health Organization

PL:

Pancreatic lipase

LOD:

Loss on drying

DMSO:

Dimethylsulphoxide

PNPB:

4-Nitrophenyl butyrate

DPPH:

(2, 2-diphenyl-1-picrylhydrazyl)

PEG:

Polyethylene glycol

DoE:

Design of experiments

References

  1. Mopuri R, Islam MS (2017) Medicinal plants and phytochemicals with anti-obesogenic potentials: a review. Biomed Pharmacother 89:1442–1452. https://doi.org/10.1016/j.biopha.2017.02.108

    CAS  Article  PubMed  Google Scholar 

  2. World Health Organization fact sheets details on obesity and overweight; https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Access date 15 Sepetember 2020.

  3. Hou XD, Ge GB, Weng ZM, Dai ZR, Leng YH, Ding LL, Jin LL, Yu Y, Cao YF, Hou J (2018) Natural constituents from cortex Mori Radicis as new pancreatic lipase inhibitors. Bioorg Chem 80:577–584. https://doi.org/10.1016/j.bioorg.2018.07.011

    CAS  Article  PubMed  Google Scholar 

  4. Wright SM, Aronne LJ (2012) Causes of obesity. Abdominal Radiol 37(5):730–732. https://doi.org/10.1007/s00261-012-9862-x

    Article  Google Scholar 

  5. Garaulet M, Gómez-Abellán P (2014) Timing of food intake and obesity: a novel association. Physiol Behav 134:44–50. https://doi.org/10.1016/j.physbeh.2014.01.001

    CAS  Article  PubMed  Google Scholar 

  6. Rahman HA, Sahib NG, Saari N, Abas F, Ismail A, Mumtaz MW, Hamid AA (2017) Anti-obesity effect of ethanolic extract from Cosmos caudatus Kunth leaf in lean rats fed a high fat diet. BMC Complement Altern Med 17(1):122. https://doi.org/10.1186/s12906-017-1640-4

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. Kim GW, Lin JE, Blomain ES, Waldman SA (2014) Antiobesity pharmacotherapy: new drugs and emerging targets. Clin Pharmacol Therapeutics 95(1):53–66. https://doi.org/10.1038/clpt.2013.204

    CAS  Article  Google Scholar 

  8. Omar SM, AbdAlla FI, Abdelgawad NM (2018) Preparation and optimization of fast-disintegrating tablet containing naratriptan hydrochloride using D-optimal mixture design. AAPS PharmSciTech 19(6):2472–2487. https://doi.org/10.1208/s12249-018-1110-4

    CAS  Article  PubMed  Google Scholar 

  9. Roh C, Jung U (2012) Screening of crude plant extracts with anti-obesity activity. Int J Mol Sci 13(2):1710–1719. https://doi.org/10.3390/ijms13021710

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. Zheng CD, Duan YQ, Gao JM, Ruan ZG (2010) Screening for anti-lipase properties of 37 traditional Chinese medicinal herbs. J Chin Med Assoc 73(6):319–324. https://doi.org/10.1016/S1726-4901(10)70068-X

    CAS  Article  PubMed  Google Scholar 

  11. Kim YS, Lee YM, Kim H, Kim J, Jang DS, Kim JH, Kim JS (2010) Anti-obesity effect of Morus bombycis root extract: anti-lipase activity and lipolytic effect. J Ethnopharmacol 130(3):621–624. https://doi.org/10.1016/j.jep.2010.05.053

    Article  PubMed  Google Scholar 

  12. Fukuda IM, Pinto CF, Moreira CD, Saviano AM, Lourenço FR (2018) Design of Experiments (DoE) applied to pharmaceutical and analytical quality by design (QbD). Braz J Pharm Sci 54(SPE). https://doi.org/10.1590/s2175-97902018000001006

  13. Usman S, Ejaz RR, Safdar KA (2018) Formulation development and optimization of orally disintegrating tablets of montelukast sodium by design-expert. Trop J Pharm Res 17(9):1701–1709. https://doi.org/10.4314/tjpr.v17i9.3

    CAS  Article  Google Scholar 

  14. Sammour OA, Hammad MA, Zidan AS, Mowafy AG (2011) QbD approach of rapid disintegrating tablets incorporating indomethacin solid dispersion. Pharm Dev Technol 16(3):219–227. https://doi.org/10.3109/10837451003592209

    CAS  Article  PubMed  Google Scholar 

  15. ICH Q1A. Guidance for industry: stability testing of new drug substances and products. (R2) 2003. Available from: https://www.fda.gov/downloads/drugs

Download references

Acknowledgements

The authors kindly acknowledge KLE College of Pharmacy Belagavi for the support.

Funding

No funding was received

Author information

Authors and Affiliations

Authors

Contributions

AB has done designed the formulations and carried out the formulation procedures of poly-herbal tablet as well as the pre-compression and post-compression studies along with the stability studies. AS has carried out the collection, extraction, and the in vitro activity. MP has designed the concept, corrections, and drafting of the manuscript. The authors have read and approved the manuscript.

Corresponding author

Correspondence to Amruta Balekundri.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

No competing interests to declare.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Balekundri, A., Shahapuri, A. & Patil, M. Poly-herbal tablet formulation by design expert tool and in vitro anti-lipase activity. Futur J Pharm Sci 6, 125 (2020). https://doi.org/10.1186/s43094-020-00131-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43094-020-00131-0

Keywords

  • Poly-herbal tablet
  • In vitro anti-lipase activity
  • Design expert tool