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Article

Influence of Drying Methods and Parameters on the Quality of Jasminum sambac (L.) Flower Extracts Obtained via Supercritical Fluid Extraction

by
Aaron Juztine Santos Martinez
1,
Andrea Mae Añonuevo
1,2,
Lourdes Cruz
3,4,
Danilo Manayaga
5 and
Lemmuel Tayo
2,*
1
School of Chemical, Biological & Materials Engineering and Sciences, Mapua University, 658 Muralla St., Intramuros, Manila 1002, Philippines
2
Department of Biology, School of Health Sciences, Mapua University, Makati 1200, Philippines
3
Marine Science Institute, University of the Philippines, Diliman, Quezon City 1101, Philippines
4
Department of Science and Technology, The National Academy of Science and Technology (NAST), Bicutan, Taguig 1631, Philippines
5
Secura International Corporation, Unit 707 Cityland Shaw Tower Shaw Boulevard Mandaluyong, Manila 1552, Philippines
*
Author to whom correspondence should be addressed.
Processes 2025, 13(10), 3369; https://doi.org/10.3390/pr13103369
Submission received: 10 August 2025 / Revised: 6 October 2025 / Accepted: 13 October 2025 / Published: 21 October 2025
(This article belongs to the Section Chemical Processes and Systems)

Abstract

The extraction of plant essences and volatile organic compounds has been performed using various methods throughout history. The production of essential oils is a significant industry. One notable ornamental flower in the Philippines is Jasminum sambac (L.), also known as Arabian Jasmine or Sampaguita, which is highly fragrant and used in various cosmetics, food, and medicine. Researchers developed a method to produce quality J. sambac (L.) concrete using the Supercritical Fluid Extraction (SFE). Among the parameters explored, it was noted that no drying method had more pleasant odors, while other drying methods had varying effects on the extract scent. A temperature of 35 °C produces fragrant and sweet concrete, and temperatures above 40 °C result in burnt-smelling extract. Higher pressure enhanced the aroma and yield. The drying method also affected the output. Plucking petals before drying resulted in low-quality outcomes. Using a blow dryer damages the petals. A combination of low temperature, moderate pressure, and no drying method produced the best aromas. However, the process requires winterization to remove waxes in the samples, which will decrease the yield.

1. Introduction

The extraction of plant essences and extracts has been practiced since ancient times for applications in personal care, medicine, and cosmetics. These biomolecules have been extensively studied over the years due to their diverse benefits. Plant-based volatile organic compounds, often derived from essential oils, are particularly valued for their strong aromatic properties. These compounds include phenols, alcohols, esters, ketones, aldehydes, and heterocyclic compounds [1]. Additionally, certain plant extracts, such as pesticides, have been utilized in non-cosmetic applications due to their bioactive properties [2].
Highly valued for their numerous volatile compounds, plant-based volatile organic compounds have been extracted using various methods that have evolved and improved over centuries. Traditional techniques such as boiling, crushing, and distilling—commonly called conventional methods—have long been employed in the extraction process. These methods remain relevant today and are often used with modern approaches, such as Supercritical Fluid Extraction (SFE) [3]. For instance, flowers and herbs are harvested and processed to extract their aromatic compounds and sweet scents. Essential oils derived from flowering plants are widely utilized in the perfume industry to create a diverse range of fragrances for cosmetic purposes [4].
The production of essential oils from plants is in high demand in the Philippine economy. The country ranks 94th in exporting plant extracts and essential oils worth USD 819,000. Additionally, in the same year, essential oils were ranked 457th out of roughly 1200 products imported by the Philippines [5].
One of the most notable ornamental flowers in the Philippines is Jasminum sambac (L.) (J. sambac (L.)), commonly referred to as Arabian jasmine, jasmine, or Sampaguita. It is a highly fragrant and ornamental plant that is widely cultivated in Southeast Asian countries for aromatherapy, food, and skin care products [6,7]. Its cultural significance and importance are the factors for the income and support of Sampaguita farms; however, during the time of the pandemic, jasmine farms in Bulacan, Pampanga, Pangasinan, Laguna, and Albay plummeted, which poses an issue to the livelihood of the farmers [8,9].
Extracting essential oils from Jasminum sambac (L.) in ancient times involved steam distillation or solvent extraction, which could result in the degradation of the essential oils, and used hazardous solvents. In contrast, SFE has the potential to provide a much more efficient and environmentally friendly method of extracting essential oils from J. sambac (L.) [10]. Supercritical Fluid Extraction (SFE) is a modern extraction technique that has gained popularity in extracting essential oils from various plant materials. The method involves using a supercritical fluid, a substance used to maintain the temperature and pressure above its critical point.
Traditional methods such as steam distillation and solvent soaking have the advantage of being well-understood and relatively simple. These methods are capable of capturing aromatic compounds that are too delicate for harsh treatment. However, these methods often suffer from low yield, high labor/time input, possible thermal degradation or solvent residue, and high cost [10]. Modern methods like SFE, subcritical solvent systems, or assisted techniques like microwave or ultrasound extraction offer higher selectivity, better retention of delicate, heat-sensitive volatile compounds, fewer or no toxic residues, shorter extraction time, and often higher yield. Their disadvantages are usually high capital cost, greater technical complexity, need for specialized equipment, potentially more energy input, and sometimes the regulatory/safety issues involved with using exotic solvents or high pressures [10].
The Jasminum sambac (L.) market has declined significantly despite its versatile applications across various industries, including cosmetics, food, and pharmaceuticals. This decline may be attributed to several factors, including competition from synthetic alternatives, fluctuations in supply and demand, and challenges in extraction methods that affect product quality [11,12]. Furthermore, there is an issue surrounding Sampaguita farmers in the Philippines. The majority of the Sampaguita farmers are women [13]. Jasminum sambac farming has emerged as a vital livelihood for many families, particularly in regions like Pampanga and Laguna, where women play a crucial role in production and marketing.
The use of GC–MS (Gas Chromatography–Mass Spectrometry) and FTIR (Fourier Transform Infrared Spectrometry) analyses provides essential support in evaluating and optimizing the extraction of Sampaguita essential oils. GC–MS allows for the identification and quantification of individual volatile compounds such as linalool, benzyl acetate, and indole, thereby determining which extraction conditions best preserve the characteristic floral aroma profile [13]. In contrast, FTIR offers a rapid, non-destructive method to confirm the presence of functional groups and assess the overall chemical integrity of the extract. When applied together, these techniques complement each other by providing both compound-specific and structural information, ensuring that the selected extraction parameters maintain both yield and quality. This combined analytical approach strengthens the reliability of the findings and guides the selection of conditions that maximize aroma fidelity and minimize degradation [13].
The samples extracted are waxy when extracted. Jasmine flowers naturally contain waxes along with essential oils. During SFE, especially under certain conditions, these waxes can co-extract with the essential oil, leading to a thicker or waxy product. This is common in jasmine extraction and is why “jasmine concrete”, a waxy-buttery product, is often obtained before refining it into “jasmine absolute” through additional processing steps like ethanol washing and filtration [14].
Multiple methods allow the separation of waxes, often performed by pre-treatment and post-processing. Pre-treatment for jasmine flowers can help reduce wax content and optimize the extraction process, such as cryogenic freezing, ethanol soaking, and microwave-assisted pre-treatment.
Additionally, the potential uses of Supercritical Fluid Extraction (SFE) in obtaining the extract of the Sampaguita are to utilize it economically by producing a pleasingly fragrant product. This product will help to enhance the global market competitiveness of the essential oils imported. Consequently, this study allows us to see the difference in drying methods and to analyze the results of changing the parameters of extraction, namely temperature, pressure, and time, by finding the optimal parameters of SFE for Sampaguita, and, in turn, providing an alternative market for Sampaguita farmers.
This study was limited by time and budget constraints, which required the researchers to narrow the extraction temperature range to 35–45 °C. Consequently, the extreme operating conditions of 100 and 300 bar pressure, as well as 27 and 77 °C temperature, were not tested.

2. Materials and Methods

2.1. Extraction Parameters

In Supercritical Fluid Extraction, the SE-2000 and PM-10000C, TST Co., Ltd. (Taiwan Supercritical Technology Co., Ltd., Changhua, Taiwan), have three variables that allow users to adjust: temperature, pressure, and time. An RSM (response surface methodology) approach utilizing two independent variables will be used to optimize the yield of jasmine extract. An ANOVA analysis and regression coefficient calculations were performed on the data to yield a response surface that determines the optimal parameters for the extraction. The RSM parameters returned by the software are as follows (see Table 1).
The RSM parameters are references to studies performed to optimize Jasminum sambac (L.) extraction. The survey by Rassem, H. et al. explores the extraction of jasmine extract from flowers using supercritical CO2 [13]. This study is about extracting essential oil from jasmine flowers using supercritical CO2 and it examines the effects of extraction parameters such as pressure (100–300 bar) and temperature (300–350 K) on oil recovery [13].

2.2. J. sambac Samples and Preparation

Sampaguita buds and open flowers were sourced from Laguna farms. The farmers were instructed to place the samples on ice or in a refrigerator right after collection. Storage and transport were at 0 °C to 4 °C. The J. sambac flowers, once received, were prepared according to the drying methods agreed upon. It was also noted that the flower and petal quality were checked when they were being plucked. Notable petals that are not fit for extraction are those seen in Figure 1, which are generally flowers that contain brown marks, are an off-colored white with brown specks, and with visible bugs and/or worms. Otherwise, the flowers were to be treated based on the agreed drying method.

2.3. Drying Methods

The drying methods agreed upon are the methods that are located in Table 2, which are the simpler drying methods readily available to the researchers for use. Due to the limited time and budget, they could not conduct several trials for each. In other cases, the flowers were cleaned and separated from the stalks, and the size was reduced to maximize the surface area for contact during the Supercritical Fluid Extraction.
The drying method as a parameter allows the researchers to identify which preparation would allow samples to have a pleasant, unpleasant, or neutral odor when pairing with the three specific SFE parameters, namely temperature, pressure, and time.

2.4. J. sambac Extraction

The extraction procedure using the SFE machine is followed, and the parameters of the RSM values are used. Carbon dioxide is the fluid used for extraction. The petals are first weighed and noted before being extracted. After the J. sambac samples are collected at the output of the machine using plastic sterile centrifuge tubes, the sample extract mass is weighed. The tubes are labeled with the date, time, duration, temperature, and pressure of extraction, as well as the mass of petals and mass of extract. The extracts are placed in a freezer at 0 °C to 4 °C.

2.5. GC–MS and FTIR Analysis of Extract and Sensory Evaluation

The extract of the flowers is first tested for its scent, whether it is pleasant, unpleasant, or neutral. After grouping the samples based on scent, the extracts were collected in an Eppendorf tube based on the scent. There were two tubes for each scent, thus having paired samples per fragrance characterization. These samples in the Eppendorf tubes were stored in the freezer at 0 °C to 4 °C before being sent to the Spectroscopy Laboratory De La Salle University (DLSU)-Central Instrumentation Facility at LTI Spine Road, Laguna Blvd, Biñan, Laguna, Philippines, for analysis of samples through Gas Chromatography–Mass Spectrometry (GC–MS) and Fourier Transform Infrared Spectroscopy (FTIR) to identify and differentiate the compounds in the pleasant, unpleasant, and neutral odor samples. The machines used were Agilent 8890 GC system coupled with a 5977B Mass Selective Detector (MSD) for GC–MS and Agilent Cary 630 FTIR-ATR with manufacturer of Agilent Technologies (Santa Clara, CA, USA) for FTIR. This analysis includes the area under the curve, which indicates the amount identified in the sample, which can be used to determine the sample’s intensity.
The FTIR information given to the researchers by DLSU-Central Instrumentation Facility was only the results of a library search for waves that closely resemble the samples that were given to them, so they can only be used for identification.
Afterward, the data were arranged by determining the yield according to the drying parameters and the odor with the extraction parameters, and the extracts were summarized with a sensory evaluation. The sensory evaluation summarizes all that is mentioned in the tables as an “Appeal”. This includes a 5-point scale, where 1 is Foul Odor, 2 is Neutral Scent, 3 is Mixed Results, 4 is Pleasant Odor, and 5 is Sweet Odor. The 5-point scale is determined by randomly selecting three participants after the extraction process. Their opinions about the odor are noted, and the commonalities between the three are selected based on the 5-point scale (see Figure 2).

2.6. Literature Review of Compounds from GC–MS and FTIR Analysis for Odor Characterization

After obtaining the results of GC–MS and FTIR from the Spectroscopy Laboratory of DLSU, the compounds in the list are given a literature review and search on their odor to determine the prominent scent and its contribution to the quality of extraction.

3. Results and Discussion

3.1. Effects of the Drying Method

In studying the effect of the three factors, temperature, pressure, and time, the effect of these on the extraction of J. sambac was measured by the odor of the extract, its appearance, and the yield obtained.
Extraction of the jasmine concrete varies in appearance depending on the drying method used and the parameters set for extraction. As seen in Table 3, most of the extracts look yellowish with a waxy appearance. In contrast to companies selling oils, jasmine oils are often liquid with a deep brownish yellow [15].
The highest yield of 0.0655% was with the drying method of Overnight Air Drying (A), and the lowest of 0.0040% was with the drying method of 3-day Air Drying (A). With each drying method presented, most of the colors have a yellow, waxy appearance. However, most extracts with drying methods of Overnight Air Dry (A) and (B) have appearances that are yellowish with red or brown tints. Blow Drying (A) and (B) consistently show a yellowish waxy appearance.
Thus, the color of the extracts can vary based on the drying technique. Jasmine crude oil extracted using the Overnight Air Dry method often displays yellowish hues with red or brown tints, while that from blow drying consistently maintains a yellowish waxy appearance. The consistency of the waxy appearance across various drying methods suggests that the drying process plays a crucial role in determining the final product’s visual characteristics.
%   Y i e l d = E x t r a c t e d   O i l   M a s s   ( g ) P e t a l   M a s s   ( g )     100

3.2. SFE Extracts

The samples were exposed to higher temperatures, and the resulting extracts remained solid even at room temperature. This phase difference is a result of the extraction of SFE, which allows waxes to be part of the product, hence the solid appearance even at room temperature [16,17]. In contrast, these waxes are often co-extracted products that require another separation process, such as winterization [18].
The temperature of 35 °C resulted in the extracted Sampaguita concrete being fragrant and sweet. An extraction temperature of 40 °C does give a pleasant fragrance, but not as sweet. The resulting product of 35 and 40 °C was yellowish-green in color and quite waxy in texture. However, samples that were subjected to temperatures above 40 °C yielded a reddish-orange color. These samples also tend to smell burnt instead of having the sweet smell. However, it is also seen that higher temperatures allow for a higher yield of extraction. It was also noted that those petals that are not dried are often more pleasant-smelling.

3.3. Sensory Evaluation

Odor quality can be used as a screening method before sending the samples to the DLSU-Central Instrumentation Facility.
Temperature can significantly impact the aroma of the extracted jasmine concrete. Moderate temperatures, such as 35 °C, are often ideal for preserving the delicate and desirable aromatic compounds. Higher temperatures, above 40 °C, may cause the degradation or transformation of these compounds, leading to changes in the scent and taste. In some cases, excessive heat can even form undesirable compounds, such as those responsible for a burnt or off flavor.
Higher extraction temperatures generally result in a higher yield. This is because increased temperature enhances the solubility of the aromatic compounds in the extraction solvent or supercritical fluid. However, excessively high temperatures can also lead to the co-extraction of unwanted compounds, such as waxes and pigments, which may alter the crude extract’s appearance and texture [19].

3.4. Compound Identification Through FTIR and GC–MS Analysis

3.4.1. Pleasant-Smelling Samples

FTIR Analysis
In the FTIR analysis, the first pleasant odor sample (Sample 6) shows that the sample has a very close similarity to PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX, commonly refined paraffin wax (RPW). The percentage quality of the sample to RPW is 92.425%. This compound is a straight chain of hydrocarbons that is odorless and colorless with a waxy appearance and has a melting point of 23 to 67 °C [20]. According to the Editors in Britannica, RPW allows ease of extraction of volatile organic compounds fit for perfumes and other plant extract applications. This quality also explains why the sample has a floral quality that is pleasant to smell [20].
However, the second pleasant-smelling sample (Sample 2) that was sent had a quality of POLY(ETHYLENE). Polyethylene is odorless in nature. While the FTIR result cannot explain the specific reason why a non-aromatic compound has the quality of an aromatic compound (the flower extract), it could be more textural than it is aromatic. The “waxiness” of the aromatic samples is due to the waxes mixing with the oils and extracted compounds of the J. sambac petals.
The FTIR analysis of the research by Rassem et al. [21], relating to Jasminum samba extracts, has very similar peak regions, which further confirms the FTIR analysis. This is also true with the other FTIR bands and peaks of other samples [22].
GC–MS
The GC–MS of the pleasant-smelling samples is summarized with its compounds and peak area seen in Table A1 and Table A2, and Figure 3. Some compounds from the extracted oil are also found in the study of Akram, A., et al. [23]; the extract from Jasminum sambac contains benzyl alcohol, benzyldehyde, citral, 2-Phenyl ethyl acetate, linalool, geraniol, eugenol, farnesol, citrinyl acetate, nerol, geranyl acetate, and citronellol. The first sample totals 2,028,713,630 units of area in the GC–MS graph. No unpleasant odor compounds were detected, and there are six pleasant-smelling compounds totaling 114,003,297.8, which is about 5.62% of the overall area of the GC–MS spectra. The floral aroma is contributed to by α-Farnesene, α-Cadinol, cis-3-Hexenyl benzoate, and 3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-ol [24,25]. The main volatile components of jasmine are α-farnesene, (Z)-3-hexenyl benzoate, linalool, benzyl alcohol, benzyl acetate, methyl anthranilate, and indole [17]. Chemicals like 1,3-Benzenedicarboxylic acid, bis(2-ethylhexyl) ester, Squalene, and Phthalic acid, di(2-propylpentyl) ester have characteristic odors; these contribute to 6.20%. Although these compounds are said to have a specific scent, it was not explicitly stated whether the odors are pleasant or unpleasant upon research.
In addition to the similar compounds in the study, there are more likely to be the pleasant-smelling compounds that are most dominant according to the study, and thus will likely be present in all the other samples [26].
In the second sample (see Figure 4 and Table 2), compounds that are suspected to aid in the strong quality of the sample are Nonane, 2,6-dimethyl, 1-Dodecanol, 2-hexyl, and methyl anthranilate [27,28,29]. Pleasant odor compounds contributed to 5.38% of the total area of the spectrum. Similarly, some are found in the first sample, such as the floral aroma. However, some compounds are qualitatively bad, such as 1-Nonene, 4,6,8-trimethyl, and Decane, 4-methyl, which may impart undesirable qualities, which may contribute to the quality of the sample, though it was not prominent [30,31,32]. Octadecyl octyl ether, which is stated to have odor-masking properties, may mask either the pleasant or unpleasant-smelling sample.
The waxy components may have contributed to the waxy quality and appearance of the samples, contributing to 10.79% and 13.81% of the first and second pleasant-smelling samples, respectively. This is due to the lack of winterization processes for removing wax from the extract.

3.4.2. Unpleasant-Smelling Samples

FTIR
This unpleasant-smelling sample (Sample 1) has an FTIR quality which is most comparable to the properties of paraffin wax, the same as the first pleasant-smelling sample. The second unpleasant-smelling sample (Sample 5) has the same quality as polyethylene. As mentioned earlier, in some cases, these qualities analyzed via a library search of FTIR are more texturally related than scent-related. The second unpleasant-smelling sample, however, did have the second highest quality, ethylene propylene diene terpolymer. This specific compound, according to the reference below, is a low-odor EPDM (ethylene propylene diene monomer) that has a distinct, unpleasant odor. This odor becomes much more potent at higher temperatures, which may be one of the reasons for the “odd smell” description in the sensory evaluation.
GC–MS
As for the first set of unpleasant-smelling samples (See Figure 5), there was about 3.18% of the total area having unpleasant odor compounds; however, a total of 5.79% were pleasant-smelling compounds. Most of these are characterized by a fruity, herbal, and sweet odor. Other compounds that were detected in GC–MS are some that have “characteristic” odors that do not have a lot of description in the related literature but are unique to the compound itself. These compounds include Squalene, α-Tocopheryl acetate, and α-Tocopheryl acetate [33,34].
The foul-smelling compounds in the GC–MS are fewer than the pleasant-smelling compounds found in the sample, totaling 3.18%. The musk ketone is one of the more intense aromas, according to references. It is a “highly tenacious musky aroma with a discreet animal note” [35].
In a similar case with the second unpleasant-smelling sample (See Figure 6), it has more compounds than all the other samples. Many more pheromone components of the same kind of compound are seen. Other compounds such as Nonane, 2,6-dimethyl-, Cubenol, Octacosanoic acid, and methyl ester are most unique. The intensity of the aroma can be from other pungent and musty odors, such as Trichloroacetic acid, hexadecyl ester, and 2,2,4-Trimethyl-1,3-pentanediol diisobutyrate, n-Hexadecanoic acid. The combination of these odors also seems to contribute to the odd and foul smell.

3.4.3. Neutral Samples

FTIR
Samples with barely any detectable aromas or no scent are categorized here. The two samples fit perfectly with the polyethylene similarity and quality from the FTIR analysis. Both samples (Samples 9 and 10, respectively) in this category were detected to have a faint scent that dissipates quickly when smelled. It was difficult to tell if they had a scent or not. Some say their faint smell was detected, though they did not notice their specific scent. This scent might be related to EPDM in both samples.
GC–MS
Looking at both samples (See Figure 7 and Figure 8), multiple samples have the “odorless” scent profile. Very faint scents of pleasant and unpleasant smells exist in the first and second samples, respectively. It is also difficult to tell why these scents were barely detectable, though the graphs show large signals. The percentage of pleasant to unpleasant is around 7.003% and 0.608% for the first neutral sample, and 0.963% and 6.732% for the second neutral sample, respectively. Both show higher percentages in the characteristic odor, which may be the ones overpowering the other compounds.
The FTIR and GC–MS analyses showed strong signals, indicating the presence of chemical compounds despite the weak olfactory perception. This is because not all volatile organic compounds have low odor thresholds; some compounds may be present in relatively high concentrations but contribute little to human scent detection because they lack strong odor activity or are suppressed by other components [36,37]. In FTIR, the strong polyethylene and EPDM similarities suggest that the samples may contain non-volatile or weakly volatile constituents, which generate clear spectral signals but do not easily volatilize to produce a noticeable aroma. Similarly, the GC–MS results show distinct compound peaks with notable percentages for both pleasant and unpleasant odorants, yet the overall scent remained faint. This may be due to matrix effects or competitive interactions, where higher-percentage compounds dominate but have inherently low odor impact, masking or suppressing the perception of minor but more odor-active volatiles. Additionally, differences in volatility, molecular weight, and odor thresholds contribute to why the graphs show significant signals while the human nose detects little to no smell [38,39]. Therefore, the neutral category highlights the important distinction between instrumental detection of chemical composition and human sensory perception, underscoring that strong analytical signals do not always correlate with strong olfactory intensity.

3.5. Statistical Significance of Yield to Parameters

With the compounds known through GC–MS and FTIR analysis, the relationship between yield and parameters is crucial in confirming the credibility of the extraction optimization. Using multiple linear regression, comparing the relationship between extract yield, temperature, pressure, and time, the R-squared value is 0.34899, which translates to a moderate relationship between the three parameters and the yield; however, considering the p-value, temperature is most statistically significant, having the value of 0.03413, compared to pressure and time. Typically, raising the temperature boosts extraction yield by increasing the diffusion rate and solubility of soluble phytochemicals in the extraction solvent. It also helps the solvent penetrate plant tissues more easily by reducing its viscosity and surface tension, which benefits the interaction between the solvent, solutes, and plant materials [40], which confirms the dependence of increased temperature in extraction. However, increasing the temperature results in more unwanted compounds found in unpleasant samples. Additionally, pressure, according to Hartati et al. [38], is still a factor that increases the yield, though tested more under room temperature conditions, which means that data from other studies suggest that pressure still contributes to extraction yield but needs to be explored more thoroughly.
In the contour plot (see Figure 9), the changes in color bands suggest a relationship between temperature, pressure, and time across different samples. There seems to be a significant region at higher pressure (green, 200–300 bar) occurring around Sample 14 and Sample 15.
In a post hoc analysis with a Bonferroni correction of 0.0833333, the two-tailed p-value of the T Test with Two-Sample Assuming Unequal Variances of 3.04 × 10−17, 3.02 × 10−17, 1.05 × 10−12, 2.01 × 10−16, 6.96 × 10−17, and 3.51 × 10−17 is significantly smaller than 0.0833333 (See Table 4 and Table 5 for full regression and ANOVA). Therefore, all comparisons would be considered statistically significant when using the Bonferroni correction threshold of 0.0833333.

4. Conclusions and Recommendations

The researchers explored methods to optimize the extraction of the quality oil of Jasminum sambac (L.) using the Supercritical Fluid Extraction method with the respective optimized range of parameters. The four key parameters affecting the scent of the oil are drying method, temperature, pressure, and time. Temperature and pressure had the most significant impact on the oil’s quality. At 35 °C, the oil is fragrant and sweet; at 40 °C, the oil has a pleasant fragrance but less sweetness; and temperatures above 40 °C result in burnt-smelling oil, with 45 °C being the point at which the oil persists in having unpleasant odor compounds from the GC–MS analysis.
Higher pressure also enhances the aroma and yield of the oil. Lower temperatures and pressures produce a floral and sweet quality but with a lower yield; however, generally, higher temperatures yield more extraction. On another note, extracts are not purely oil; they contain a mixture of wax which requires another process, namely winterization, which in turn will reduce the yield.
The drying method also affects the overall output. Plucking petals before drying often results in unpleasant-quality oils, while those plucked after drying consistently have pleasant aromas. Using a blow dryer for drying can damage the petals, leading to unpleasant-smelling oils. Overnight air drying gave mixed results, but no drying method resulted in better and more consistent aromas.

Author Contributions

Conceptualization, L.C. and L.T.; Methodology, A.J.S.M., A.M.A. and L.T.; Software, L.C.; Validation, A.M.A. and L.T.; Resources, L.T.; Writing—original draft, A.J.S.M.; Writing—review & editing, A.J.S.M., A.M.A. and L.T.; Supervision, A.M.A., L.C., D.M. and L.T.; Project administration, L.C., D.M. and L.T.; Funding acquisition, D.M. and L.T. All authors have read and agreed to the published version of the manuscript.

Funding

We acknowledge the CRADLE project Department Capital of Science and Technology for providing funds.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A. List of Figures

Figure A1. GC–MS counts vs. acquisition time of the first pleasant-smelling sample.
Figure A1. GC–MS counts vs. acquisition time of the first pleasant-smelling sample.
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Figure A2. GC–MS counts vs. acquisition time of the first unpleasant-smelling sample.
Figure A2. GC–MS counts vs. acquisition time of the first unpleasant-smelling sample.
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Figure A3. GC–MS counts vs. acquisition time of the first neutral scent sample.
Figure A3. GC–MS counts vs. acquisition time of the first neutral scent sample.
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Figure A4. GC–MS counts vs. acquisition time of the second pleasant sample.
Figure A4. GC–MS counts vs. acquisition time of the second pleasant sample.
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Figure A5. GC–MS counts vs. acquisition time of the first unpleasant-smelling sample.
Figure A5. GC–MS counts vs. acquisition time of the first unpleasant-smelling sample.
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Figure A6. GC–MS counts vs. acquisition time of the second neutral scent sample.
Figure A6. GC–MS counts vs. acquisition time of the second neutral scent sample.
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Figure A7. FTIR transmittance–wavenumber graph of first pleasant-smelling sample.
Figure A7. FTIR transmittance–wavenumber graph of first pleasant-smelling sample.
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Figure A8. FTIR transmittance–wavenumber graph of first unpleasant-smelling sample.
Figure A8. FTIR transmittance–wavenumber graph of first unpleasant-smelling sample.
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Figure A9. FTIR transmittance–wavenumber graph of first neutral smell sample.
Figure A9. FTIR transmittance–wavenumber graph of first neutral smell sample.
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Figure A10. FTIR transmittance–wavenumber graph of second pleasant-smelling sample.
Figure A10. FTIR transmittance–wavenumber graph of second pleasant-smelling sample.
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Figure A11. FTIR transmittance–wavenumber graph of second unpleasant-smelling sample.
Figure A11. FTIR transmittance–wavenumber graph of second unpleasant-smelling sample.
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Figure A12. FTIR transmittance–wavenumber graph of second neutral smell sample.
Figure A12. FTIR transmittance–wavenumber graph of second neutral smell sample.
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Appendix B. List of Tables

Table A1. GC–MS summary of significant compounds and area of the first pleasant-smelling sample.
Table A1. GC–MS summary of significant compounds and area of the first pleasant-smelling sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
N/A 00
Total00
Pleasant-Smelling Compounds
α-Farnesenesweet, woody, and fruity smell5,180,291.480.2553
α-Cadinolfloral, fresh, and fruity odor of tea flowers3,027,782.370.1492
cis-3-Hexenyl benzoategreen, herbaceous, floral, and woody odor4,828,245.40.2380
3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-olfloral14,087,864.880.6944
Behenic alcoholmild, pleasant, aromatic10,400,228.420.5127
3,209,425.880.1582
Squalene“faint agreeable odor”73,269,459.383.6116
Total114,003,297.85.6195
Characteristic and Others
Germacrene D-4-olcharacteristic odor21,033,012.761.0368
(6Z,9Z)-6,9-Tricosadienepheromone component5,128,708.790.2528
3,224,764.080.1590
5,199,288.160.2563
Phthalic acid, di(2-propylpentyl) ester“characteristic odor”10,398,735.970.5126
1,3-Benzenedicarboxylic acid, bis(2-ethylhexyl) ester“slight odor”3,058,139.390.1507
Octacosanoic acid, methyl estercharacteristic10,648,040.610.5249
3-Methylhentriacontanepheromone component61,385,160.333.0258
Triacontanoic acid, methyl ester“characteristic odor”5,788,126.160.2853
Total125,863,976.36.2041
Waxy or Oily Compounds
Hexadecanoic acid, methyl esterweak “waxy” odor3,011,745.590.1485
Palmitic Acid, TMS derivative,slight waxiness16,795,154.370.8279
Heneicosanewaxy15,165,101.580.7475
waxy8,895,049.090.4385
Docosaneminimal waxiness, nearly odorless8,895,049.090.4385
Tricosanewaxy151,194,0857.4527
Linolenic acid, methyl esteroily, fatty, sometimes woodsy7,466,982.140.3681
Linolenic acidoily, fatty, sometimes woodsy7,466,982.140.3681
Total218,890,14910.7896
Table A2. GC–MS summary of significant compounds and area of the second pleasant-smelling sample.
Table A2. GC–MS summary of significant compounds and area of the second pleasant-smelling sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
Decane, 4-methylpungent, acrid776,589.030.0170
1-Nonene, 4,6,8-trimethylunpleasant-smelling1,427,263.60.0312
2,2,4-Trimethyl-1,3-pentanediol diisobutyratemusty odor3,007,628.30.0658
Total5,211,480.930.1140
Pleasant-Smelling Compounds
Linaloolfloral, citric, fresh, and sweet1,001,785.30.0219
1-Dodecanol, 2-hexylwith a mild sweet odor1,914,146.10.0419
Methyl anthranilategrape-like smell1,730,390.10.0379
α-Farnesenesweet, woody, and fruity smell.38,575,2070.8438
Naphthalene, 1,2,3,4,4a,5,6,8aoctahydro-7-methyl-4-methylene-1-(1-methylethyl)-,(1α,4aβ,8aα)-piquant2,371,798.20.0519
Viridiflorolsweet, green, herbal, fruity, tropical, minty odor.2,024,2110.0443
.tau.-Muurololherbal type odor; slight spicy4,878,4480.1067
α-Cadinolfloral, fresh, and fruity odor of tea flowers6,393,944.60.1399
7-Hydroxyfarnesencitrus, flowery741,259.320.0162
trans-Farnesolfloral scent1,549,129.30.0339
Benzoic acid, 2-propenyl esterfruity18,850,9490.4123
Benzyl Benzoateweak, sweet-balsamic odor6,799,447.10.1487
3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-olfloral75,092,2031.6426
(E)-Cinnamyl benzoatesweet smell9,855,007.80.2156
(Z)-Cinnamyl benzoatesweet smell9,855,007.80.2156
Behenic alcoholmild, pleasant, aromatic64,254,2571.4055
Total245,887,190.65.3785
Characteristic and Others
Nonane, 2,6-dimethyl-camphoreous931,876.010.0204
Octane, 3,3-dimethyl-VOC931,876.010.0204
Cyclooctane, 1,4-dimethyl-, transVOC1,004,8600.0220
1,222,376.30.0267
Octadecyl octyl etheroctadecyls are odor maskers1,205,706.70.0264
3-Hexen-1-ol, benzoate, (Z)-intense grassy-green odor28,400,5950.6212
Germacrene D-4-olcharacteristic odor 110,319,8912.4131
Epiglobulolcharacteristic2,024,2110.0443
Dodecanoic acid, TMS derivativefaint odor of bay oil1,479,934.60.0324
Octadecanoic acid“mild odor”18,301,6030.4003
(6Z,9Z)-6,9-Tricosadienepheromone component27,983,4590.6121
14,381,0940.3146
16,577,9870.3626
9-Tricosene, (Z)-pheromone component367,301,9538.0343
Total592,067,422.612.9508
Waxy Compounds
Myristic acid, TMS derivativeodorless, but some blends are oily10,978,3380.2401
Hexadecanoic acid, methyl esterweak “waxy” odor42,472,3320.9290
Palmitic Acid, TMS derivativeslight waxiness70,031,8081.5319
Heneicosanewaxy65,893,0711.4413
24,646,5800.5391
9,12,15-Octadecatrienoic acid, methyl ester, (Z,Z,Z)-oily162,366,6283.5516
Methyl stearatewaxy44,168,2330.9661
Tricosanewaxy210,780,8304.6106
Total631,337,82013.8098
Table A3. GC–MS summary of significant compounds and area of the first unpleasant-smelling sample.
Table A3. GC–MS summary of significant compounds and area of the first unpleasant-smelling sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
Musk ketonehighly tenacious musky aroma with a discreet animal note2,144,687.960.1525
α-Linolenic acid, TMS derivativesome references say it is fishy/oily; some say it is odorless3,179,637.280.2260
Tritriacontanerange in odor from odorless to a fuel-like odor39,412,448.512.8017
Total44,736,773.753.1802
Pleasant-Smelling Compounds
Squalene“faint agreeable odor”22,692,839.011.6132
Benzoic Acid, TMS derivativefaint, pleasant odor2,137,985.270.1520
8-Hydroxylinaloolcitrus-like, sweet, soapy, and lemon-like11,186,775.440.7952
α-Farnesenesweet, woody, and fruity smell15,990,851.961.1368
Methylcyclopentanesweet22,305,310.151.5856
4,107,283.420.2920
α-epi-Muurololherbal3,086,232.010.2194
α-Cadinolfloral, fresh, and fruity odor of tea flowers
Total81,507,277.265.7942
Characteristics and Others
Octacosanoic acid, methyl estercharacteristic6,529,256.250.4641
3-Methylhentriacontanepheromone component40,871,050.722.9054
Benzeneacetaldehydegrassy2,046,250.260.1455
1,6,10-Dodecatrien-3-ol, 3,7,11-trimethyl-, (E)-fresh bark odor2,365,617.830.1682
3-Hexen-1-ol, benzoate, (Z)-intense grassy-green odor9,000,686.390.6398
α-Tocopheryl acetatecharacteristic9,231,315.140.6562
Cyclohexanesweet, pungent odor10,880,395.170.7735
10,797,874.960.7676
Total91,722,446.726.5203
Waxy Compounds
Palmitic Acid, TMS derivativeslight waxiness17,838,641.561.2681
Heneicosanewaxy8,440,458.890.6000
6,474,638.670.4603
Linolenic acid 15,983,006.751.1362
Total48,736,745.873.4646
Table A4. GC–MS summary of significant compounds and area of the second unpleasant-smelling sample.
Table A4. GC–MS summary of significant compounds and area of the second unpleasant-smelling sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
Trichloroaceticacid, hexadecylesterpungent, sharp511,976.240.0116
2,2,4-Trimethyl-1,3-pentanedioldiisobutyratemusty odor4,627,215.60.1050
n-Hexadecanoicacid‘rancid’ and ‘pungent’ odors11,956,9590.2713
Tritriacontanerange in odor from odorless to a fuel-like odor178,875,5114.0587
Total195,971,661.84.4466
Pleasant-Smelling Compounds
BenzoicAcid,TMSderivativefaint, pleasant odor1,186,255.20.0269
1-Decanol,2-hexyl-mild, sweet odor1,256,663.20.0285
α-Farnesenesweet, woody, and fruity smell4,894,050.60.1110
1-Decanol,2-hexyl-mild, sweet odor951,428.30.0216
cis-3-Hexenylbenzoategreen, herbaceous, floral, and woody odor5,362,932.10.1217
.tau.-Muurololherbal type odor; slight spicy734,662.170.0167
Cubenolspicy and herbal567,901.470.0129
α-Cadinolfloral, fresh, and fruity odor of tea flowers2,255,0640.0512
trans-Farnesolfloral scent3,979,945.10.0903
3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-olfloral15,117,9860.3430
1-Decanol,2-hexyl-mild, sweet odor1,256,663.20.0285
Behenicalcoholmild, pleasant, aromatic34,546,0070.7838
12,859,1350.2918
Squalene“faint agreeable odor”102,663,8392.3294
Total187,632,532.34.2574
Characteristic and Others
Nonane,2,6-dimethyl-camphoreous676,510.190.0153
Dodecane,4,6-dimethyl-strong sweet-corn-like aroma291,572.10.0066
GermacreneD-4-olcharacteristic odor26,646,2120.6046
Dodecanoicacid,TMSderivativefaint odor of bay oil684,929.830.0155
1-Hexacosenemild2,414,809.60.0548
Octadecanoicacid“mild odor”29,731,3650.6746
Tetracosanol,O-TMScharacteristic11,102,8560.2519
1,3-Benzenedicarboxylicacid,bis(2-ethylhexyl)ester“slight odor”7,125,228.90.1617
Methyl21-methyl-hexacosanoatefruity-type odor5,661,947.40.1285
Octacosanoicacid,methylestercharacteristic35,703,2270.8101
Triacontanoicacid,methylester“characteristic odor”17,341,5390.3935
Oleanolicacid2TMScharacteristic10,807,4840.2452
Ursolicaldehydecharacteristic9,729,8750.2208
Heptadecanoicacid,TMSderivativepheromone component1,297,625.30.0294
9-Tricosene,(Z)-pheromone component4,600,337.60.1044
240,988,7075.4680
(6Z,9Z)-6,9-Tricosadienepheromone component8,844,206.60.2007
6,574,194.60.1492
9,318,822.50.2114
Total429,541,449.69.7462
Waxy Odors
Hexadecanoicacid,methylesterweak “waxy” odor5,185,499.60.1177
PalmiticAcid,TMSderivativeslight waxiness1,617,083.90.0367
89,000,2282.0194
Heneicosanewaxy38,354,3080.8703
9,12,15-Octadecatrienoicacid,methylester,(Z,Z,Z)-oily13,691,7180.3107
Phthalicacid,di(2-propylpentyl)ester“characteristic odor”20,331,6620.4613
Total168,180,499.53.8160
Table A5. GC–MS summary of significant compounds and area of the first neutral odor sample.
Table A5. GC–MS summary of significant compounds and area of the first neutral odor sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
Phenyl tert-butyl ketoneunpleasant9,004,534.490.2623
n-Hexadecanoic acid‘rancid’ and ‘pungent’ odors4,951,027.320.1442
Cyclodocosane, ethyl-cyclodocosane is musty6,897,525.670.2010
Total20,853,087.480.6075
Pleasant-Smelling Compounds
α-Farnesenesweet, woody, and fruity smell 83,701,909.862.4385
cis-3-Hexenyl benzoategreen, herbaceous, floral, and woody odor20,593,293.360.6000
Methylcyclopentanesweet5,205,381.560.1517
Farnesolmild, light-woody, linden, floral 11,598,405.130.3379
trans-Farnesolfloral scent11,598,405.130.3379
3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-olfloral13,608,158.220.3965
Behenic alcoholmild, pleasant, aromatic19,208,391.390.5596
7,212,273.250.2101
10,366,741.040.3020
Squalene“faint agreeable odor”57,289,446.951.6691
Total240,382,405.97.0032
Characteristic and Others
Cyclohexanesweet, pungent odor5,205,381.560.1517
5,389,937.010.1570
(6Z,9Z)-6,9-Tricosadienepheromone component9,921,740.660.2891
9-Tricosene, (Z)-pheromone component290,560,215.48.4651
(6Z,9Z)-6,9-Tricosadienepheromone component5,689,718.80.1658
(6Z,9Z)-6,9-Tricosadienepheromone component7,379,949.170.2150
1,3-Benzenedicarboxylic acid, bis(2-ethylhexyl) ester“slight odor”4,646,143.260.1354
Triacontanoic acid, methyl ester“characteristic odor10,986,908.050.3201
Octacosanoic acid, methyl estercharacteristic23,773,091.440.6926
Total363,553,085.410.5916
Waxy Odors
Hexadecanoic acid, methyl esterweak “waxy” odor11,445,635.50.3335
Palmitic Acid, TMS derivativeslight waxiness15,861,788.160.4621
Heneicosanewaxy27,873,257.530.8121
9,12,15-Octadecatrienoic acid, methyl ester, (Z,Z,Z)-oily58,522,1731.7050
Methyl stearatewaxy9,570,314.440.2788
Heneicosanewaxy16,865,047.040.4913
Docosaneminimal waxiness, nearly odorless16,865,047.040.4913
Total157,003,262.74.5741
Table A6. GC–MS summary of significant compounds and area of the second neutral odor sample.
Table A6. GC–MS summary of significant compounds and area of the second neutral odor sample.
NotesAreaPercent (%)
Unpleasant-Smelling Compounds
Decanegasoline-like odor604,738.630.0173
n-Hexadecanoicacid‘rancid’ and ‘pungent’ odors10,695,7860.3067
Muskketonehighly tenacious musky aroma with a discreet animal note9,514,186.80.2728
Phenyltert-butylketoneunpleasant12,772,8900.3663
Total33,587,6010.9631
Pleasant-Smelling Compounds
α-Farnesenesweet, woody, and fruity smell65,957,7311.8913
α-Cadinolfloral, fresh, and fruity odor of tea flowers4,801,024.40.1377
7-Hydroxyfarnesencitrus, flowery4,021,592.90.1153
Tonalidsweet, amber, ambrette, fruity, musk8,403,166.60.2410
3,7,11,15-Tetramethylhexadeca-1,6,10,14-tetraen-3-olfloral18,615,4010.5338
Behenicalcoholmild, pleasant, aromatic46,458,2651.3322
Behenicalcoholmild, pleasant, aromatic6,314,700.20.1811
Squalene“faint agreeable odor”80,224,8922.3005
Total234,796,7736.7328
Characteristic and Others
Nonane,2,6-dimethyl-camphoreous741,324.040.0213
Humuleneearthy, woody, with spicy, herbal notes974,635.970.0279
3-Hexen-1-ol,benzoate,(Z)-intense grassy-green odor15,485,2740.4440
(2E,4S,7E)-4-Isopropyl-1,7-dimethylcyclodeca-2,7-dienolVOC154,419,1614.4280
BenzylBenzoateweak, sweet-balsamic odor4,237,4890.1215
Octadecanoicacid“mild odor”7,989,615.30.2291
(6Z,9Z)-6,9-Tricosadienepheromone component16,355,4750.4690
9-Tricosene,(Z)-pheromone component282,558,2558.1024
Docosanoicacid,methylestercharacteristic7,721,575.10.2214
Tetracosanol,O-TMScharacteristic5,073,0070.1455
Triacontanoicacid,methylester“characteristic odor”12,060,5210.3458
α-Tocopherylacetatecharacteristic65,652,6361.8826
Octacosanoicacid,methylestercharacteristic26,609,4620.7630
Total599,878,43017.2015
Waxy Odors
PalmiticAcid,TMSderivativeslight waxiness30,867,8350.8851
Heneicosanewaxy40,643,8341.1655
Methylstearatewaxy16,035,7630.4598
Docosaneminimal waxiness, nearly odorless21,544,0470.6178
Total109,091,4793.1282
Table A7. FTIR library search results of the first pleasant-smelling sample.
Table A7. FTIR library search results of the first pleasant-smelling sample.
QualityLibraryName
0.92425Poly_D (68)POLY(ETHYLENE)
0.92256Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw 125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41 (Alfa Chemistry, New York, NY, USA)
0.92256Agilent Polymer Handheld ATR Library (111)Polyethylene, high density Approx Mw
125,000 Pellets CAS25213-02-9 (Alfa Chemistry, New York, NY, USA)
0.92122Agilent Polymer Handheld ATR Library (106)Polyethylene, chlorinated, Chlorine content 25 wt%, cast film CAS 64754-90-1 (Alfa Chemistry, New York, NY, USA)
0.92041Agilent Polymer Handheld ATR Library (182)Paraffin Wax and Polyvinyl Acetate
Mixture (7% PVA Wax Coating)
Table A8. FTIR library search results of the second pleasant-smelling sample.
Table A8. FTIR library search results of the second pleasant-smelling sample.
QualityLibraryName
0.92251Intro_D (148)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.92145BioRad_Demo (47)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.92063Agilent Polymer Handheld ATR Library (106)Polyethylene, chlorinated, Chlorine content 25 wt%, cast film CAS 64754-90-1
0.91934Poly_D (68)POLY(ETHYLENE)
0.91314Agilent Polymer Handheld ATR Library (182)Paraffin Wax and Polyvinyl Acetate Mixture (7% PVA Wax Coating)
0.90772Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw
125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41
Table A9. FTIR library search results of the first unpleasant-smelling sample.
Table A9. FTIR library search results of the first unpleasant-smelling sample.
QualityLibraryName
0.91873Intro_D (148)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.91794BioRad_Demo (47)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.91770Agilent Polymer Handheld ATR Library (106)Polyethylene, chlorinated, Chlorine content 25 wt%, cast film CAS 64754-90-1
0.91460Poly_D (68)POLY(ETHYLENE)
0.91025Agilent Polymer Handheld ATR Library (182)Paraffin Wax and Polyvinyl Acetate Mixture (7% PVA Wax Coating)
0.90567Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw 125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41
Table A10. FTIR library search results of the second unpleasant-smelling sample.
Table A10. FTIR library search results of the second unpleasant-smelling sample.
QualityLibraryName
0.94096ATR Demo Library (41)polyethylene
0.93648Agilent Polymer Handheld ATR Library (23)ETHYLENE PROPYLENE DIENE TERPOLYMER Ethylene 70% diene 4% Pellets CAS 25038-36-2 (Alfa Chemistry, New York, NY, USA)
0.92137Poly_D (68)POLY(ETHYLENE)
0.91619Intro_D (148)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.91533BioRad_Demo (47)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
0.90404Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw
125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41
Table A11. FTIR library search results of the first neutral smelling sample.
Table A11. FTIR library search results of the first neutral smelling sample.
QualityLibraryName
0.94139ATR Demo Library (41)polyethylene
0.94033Agilent Polymer Handheld ATR Library (23)ETHYLENE PROPYLENE DIENE
TERPOLYMER Ethylene 70% diene
4% Pellets CAS 25038-36-2
0.92766Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw
125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41
0.92766Agilent Polymer Handheld ATR Library (111)Polyethylene, high density Approx Mw
125,000 Pellets CAS 25213-02-9 (Alfa Chemistry, New York, NY, USA)
0.92558Intro_D (148)PARVAN 3150, F.N. 3502*REFINED PARAFFIN WAX
Table A12. FTIR library search results of the second neutral smelling sample.
Table A12. FTIR library search results of the second neutral smelling sample.
QualityLibraryName
0.94393ATR Demo Library (41)polyethylene
0.94110Agilent Polymer Handheld ATR Library (23)ETHYLENE PROPYLENE DIENE
TERPOLYMER Ethylene 70% diene
4% Pellets CAS 25038-36-2
0.92479Poly_D (68)POLY(ETHYLENE)
0.92473Agilent Polymer Handheld ATR Library (110)Polyethylene, high density Approx Mw 125,000 Pellets CAS#25213-02-_2012-06-19T16-44-41
0.92473Agilent Polymer Handheld ATR Library (111)Polyethylene, high density Approx Mw
125,000 Pellets CAS 25213-02-9

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Figure 1. Flowers (a) with brown residues, (b,c) which were off-colored/differently colored, (d) with bug bites, and (e) with worms and/or bugs are not suitable for SFE.
Figure 1. Flowers (a) with brown residues, (b,c) which were off-colored/differently colored, (d) with bug bites, and (e) with worms and/or bugs are not suitable for SFE.
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Figure 2. Appeal rating of the samples of the sensory evaluation.
Figure 2. Appeal rating of the samples of the sensory evaluation.
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Figure 3. Summary and listed GC–MS compounds of first pleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
Figure 3. Summary and listed GC–MS compounds of first pleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
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Figure 4. Summary and listed GC–MS compounds of second pleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
Figure 4. Summary and listed GC–MS compounds of second pleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
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Figure 5. Summary and listed GC–MS compounds of first unpleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
Figure 5. Summary and listed GC–MS compounds of first unpleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
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Figure 6. Summary and listed GC–MS compounds of second unpleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
Figure 6. Summary and listed GC–MS compounds of second unpleasant sample with listed percentages for each classified compound (No references* are compounds that cannot be found references for its odor).
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Figure 7. Summary and listed GC–MS compounds of first neutral sample with listed percentages for each classification of compound (No references* are compounds that cannot be found references for its odor).
Figure 7. Summary and listed GC–MS compounds of first neutral sample with listed percentages for each classification of compound (No references* are compounds that cannot be found references for its odor).
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Figure 8. Summary and listed GC–MS compounds of second neutral sample with listed percentages for each classification of compound (No references* are compounds that cannot be found references for its odor).
Figure 8. Summary and listed GC–MS compounds of second neutral sample with listed percentages for each classification of compound (No references* are compounds that cannot be found references for its odor).
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Figure 9. Contour plot of ANOVA analysis.
Figure 9. Contour plot of ANOVA analysis.
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Table 1. RSM parameters.
Table 1. RSM parameters.
SampleTemperature (°C)Pressure (Bar)Time (h)
1402002
2402002
3402002
4402002
5452001.5
6352001.5
7452002.5
8352002.5
9401752.5
10401751.5
11351752
12451752
13402252.5
14402251.5
15352252
16452252
Table 2. Drying methods and their description (A: after plucking; B: before plucking).
Table 2. Drying methods and their description (A: after plucking; B: before plucking).
Drying MethodDescription
No DryingThe J. sambac flower petals are plucked from their sepals and are extracted on the same day. No drying occurs.
Overnight Air Dry (A)The J. sambac flower petals are air-dried AFTER being plucked. The extraction happens the next day.
Overnight Air Dry (B)The J. sambac flowers are air-dried BEFORE being plucked. The plucking and extracting of samples happen the next day.
2-day Air Drying (A)The J. sambac flower petals are air-dried for two days after being plucked. The extraction of samples happens the next day.
Blow Dry (A)The J. sambac flower petals are blow-dried AFTER being plucked. The dryness of the petals is not so dry that they become crisp; rather, it removes most of the moisture and still feels soft. The extraction of samples happens the next day.
Blow Dry (B)The J. sambac flowers are blow-dried BEFORE the petals are plucked. The dryness of the petals is not so dry that they become crisp; rather, it removes most of the moisture and still feels soft. The extraction of samples happens the next day.
Table 3. Summary of the SFE extract.
Table 3. Summary of the SFE extract.
Drying MethodSamplePetal Mass (g)Extracted Oil Mass (g)% YieldAppearanceOdor
Overnight Air Dry (A)1350.50.17840.0509Solid, yellowish, waxySmells slightly “off”; smells of an odd ‘browning’ Sampaguita
Overnight Air Dry (B)21880.12310.0655Solid, yellowish, waxyStrongly scented and aromatic
No Drying3384.50.06210.0162Solid, yellowish, waxyPleasant scent and floral and grassy smells
Blow Dry (A)4367.70.05980.0163Solid, yellowish, waxySmells a little bit of Sampaguita, nothing unpleasant detected
Blow Dry (A)5408.30.14360.0352Solid, yellowish, waxyUnpleasant, indescribable unpleasant scent
Blow Dry (A)6401.30.06230.0155Solid, yellowish, waxyFloral and smells pleasant
Blow Dry (B)7358.10.19670.0549Solid, yellowish, waxySomehow smells like boiled petals in an unpleasant way
No Drying8398.10.05620.0141Solid, yellowish, waxyNot as strong as the other pleasant-smelling ones; more candy-like sweetness
Overnight Air Dry (A)9350.80.14540.0414Solid, white with little yellow, waxyVery little to no scent; some can detect that it smells pleasant, some cannot
Blow Dry (B)103280.03290.0100Solid, white with little yellow, waxyNeutral scent, little to no detectable scent
Blow Dry (B)11297.50.04770.0160Solid, yellowish, waxyFloral and smells pleasant, faint sweetness
Overnight Air Dry (A)12400.60.1480.0369Solid, slightly brown look, but mostly yellowish cream, waxySmells almost burnt
No Drying13286.10.05610.0196Solid, yellowish, waxyVery little to no scent is detectable
Overnight Air Dry (B)143110.1060.0341Solid, yellowish, has some red/brown tints, waxySmells almost burnt, grassy notes
3-day Air Drying (A)15260.50.01050.0040Solid, yellowish, has some red/brown tints, waxySmells almost burnt, floral notes
Overnight Air Dry (B)164290.13290.0310Solid, yellowish, has some red/brown tints, waxyBurnt quality, unpleasant but mellowed-out scent
A: After plucking; B: Before plucking.
Table 4. Regression statistics of yield vs. temperature vs. pressure vs. time.
Table 4. Regression statistics of yield vs. temperature vs. pressure vs. time.
Multiple R0.59076
R Square0.34899
Adjusted R Square0.18624
Standard Error0.01604
Observations16.00000
Table 5. ANOVA of yield vs. temperature vs. pressure vs. time.
Table 5. ANOVA of yield vs. temperature vs. pressure vs. time.
dfSSMSFSignificance F
Regression3.000000.001650.000552.144340.14785
Residual12.000000.003090.00026
Total15.000000.00474
CoefficientStandard Errort Statp-valueLower 95%Upper 95%Lower 95%Upper 95%
Intercept−0.081550.06815−1.196630.25456−0.230040.06694−0.230040.06694
Temperature, °C0.002710.001132.390060.034130.000240.005180.000240.00518
Pressure, bar−0.000080.00023−0.343960.73683−0.000570.00042−0.000570.00042
Time, h0.008800.011340.776110.45271−0.015900.03350−0.015900.03350
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Martinez, A.J.S.; Añonuevo, A.M.; Cruz, L.; Manayaga, D.; Tayo, L. Influence of Drying Methods and Parameters on the Quality of Jasminum sambac (L.) Flower Extracts Obtained via Supercritical Fluid Extraction. Processes 2025, 13, 3369. https://doi.org/10.3390/pr13103369

AMA Style

Martinez AJS, Añonuevo AM, Cruz L, Manayaga D, Tayo L. Influence of Drying Methods and Parameters on the Quality of Jasminum sambac (L.) Flower Extracts Obtained via Supercritical Fluid Extraction. Processes. 2025; 13(10):3369. https://doi.org/10.3390/pr13103369

Chicago/Turabian Style

Martinez, Aaron Juztine Santos, Andrea Mae Añonuevo, Lourdes Cruz, Danilo Manayaga, and Lemmuel Tayo. 2025. "Influence of Drying Methods and Parameters on the Quality of Jasminum sambac (L.) Flower Extracts Obtained via Supercritical Fluid Extraction" Processes 13, no. 10: 3369. https://doi.org/10.3390/pr13103369

APA Style

Martinez, A. J. S., Añonuevo, A. M., Cruz, L., Manayaga, D., & Tayo, L. (2025). Influence of Drying Methods and Parameters on the Quality of Jasminum sambac (L.) Flower Extracts Obtained via Supercritical Fluid Extraction. Processes, 13(10), 3369. https://doi.org/10.3390/pr13103369

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