Simple Plant Research Articles

Characterization of the Agronomic Properties of Different Vermicompost from the Co-composting of Oil Palm Empty Fruit Bunches and Green Waste

The accumulation of palm oil industries waste is one of the causes of environmental pollution that is becoming an increasingly concern in Côte d'Ivoire. However, this waste, combined with other simple plant substrates, can be used in the vermicomposting process. That is the context in which this study is conducted, with the aim of determining the agronomic properties of different vermicompost made of oil palm empty fruit bunches combined with green waste (Chromolaena odorata leaves and grass clippings). For this purpose, plastic boxes of 1.5 L in volume were first filled with 800 g of soil. Then, 300 g of the different pre-composted substrates and 4 earthworms were added. In total, 4 treatments of 25 repetitions each were carried out. For all the treatments, treatments T3 (oil palm empty fruit bunches + Grass cutting + earthworms) and T4 (oil palm empty fruit bunches + Chromolaena odorata + Grass cutting + earthworms) presented the best values of the substrate decomposition capacity and physicochemical properties. The same is true for the mineral materials obtained. For these two treatments mentioned, the C/N ratio was around 15 and significantly higher than those of treatments T1 (oil palm empty fruit bunches + earthworms) and T2 (oil palm empty fruit bunches + Chromolaena odorata + earthworms), which were around 12. The pH values being variable at the beginning of vermicomposting were close to neutral at the end, thus indicating the maturity of the different vermicompost produced. Vermicompost resulting from co-composting of empty fruit bunches of oil palms and green waste appears to improve nutrient availability, structure and microbial activity of the vermicompost to promote good development of cultivated plants.

Design optimization and performance analysis of a dry-cooled Helium-Xenon Brayton cycle for nuclear microreactor based on detailed models of the cycle components

Nuclear microreactors offer reliable, low-carbon dispatchable power and heat for various end use and applications. The gas-cooled reactor coupled with the dry-cooled closed Brayton cycle has a simple plant layout and can be deployed in water-deficient areas. To evaluate the system performance more precisely and optimize the mole fraction of the He-Xe mixture for the gas-cooled microreactor, an integrated design method based on detailed models of the cycle components was developed. Three designs using 4 g/mol pure helium, 15 g/mol, and 40 g/mol He-Xe were first established as demonstration examples, and performances of the cycle and components were compared. Furthermore, the effects of the He-Xe’s molecular weight on the system’s size and efficiency were discussed, and a parametric analysis of crucial design parameters like specific speed and pressure ratio was conducted. In contrast to the previous results obtained from simplified component models, the current results revealed that a Brayton cycle using 40 g/mol He-Xe could achieve a higher thermal efficiency of 44.42 % compared with 37.65 % of pure helium, which resulted from the improved efficiency in turbomachinery and reduced pressure loss in heat exchangers. Concerning the system size, it was recommended to use the 20–30 g/mol He-Xe for reduced volume as the stage number of the turbomachinery decreased from 5 of pure helium to a single stage of the 20 g/mol He-Xe. Although the turbomachinery occupied a relatively small volume, increasing the compressor inlet temperature could reduce the volume of the precooler, thus significantly reducing the system volume.

Exploring the Potential of Macroalgae for Sustainable Crop Production in Agriculture.

Marine macroalgae, which typically colonize coastal areas, are simple plant organisms. They live on rocks in coastal regions and are classified into red, brown, and green macroalgae. These algae are an important natural resource in agriculture due to their ability to enhance the structural, chemical, and biological properties of soil. Marine macroalgae can be used to produce various biocidal molecules that are effective in controlling plant pathogens. Much of the literature on marine macroalgae and their derivatives focuses primarily on the pharmaceutical field, while their use in agriculture is still considered secondary. However, various studies and experiments have demonstrated their potential to play a significant role in crop protection and enhancement. This review aims to highlight the various applications of macroalgae in plant production. It also emphasizes the biotechnological importance of marine macroalgae derivatives as biofertilizers, molecules for controlling insects and microorganisms, and as plant growth conditioners. Compounds from macroalgae, such as fatty acids, carotenoids, polyphenols, and carbohydrates, are being investigated for their fungicidal, antimicrobial, and antiviral effects against various plant pathogens. Beyond enhancing crop production, macroalgae can also be considered multifunctional bioinoculants suitable for use in organic farming.

An early cladoxylopsid with complex vascular architecture: Paracladoxylon kespekianum gen. et sp. nov. from the Lower Devonian (Emsian) of Quebec, Canada.

Cladoxylopsids, one of the first lineages with complex organization to rise from the plexus of structurally simple plants that comprised the earliest euphyllophyte floras, are moniliformopsid euphyllophytes. They formed Earth's earliest forests by the Middle Devonian and are thought to have given rise to the equisetopsids and probably some fern lineages. The Lower Devonian (Emsian) Battery Point Formation (Quebec, Canada) contains previously unrecognized cladoxylopsids preserved anatomically. One of these provides new data on structural evolution among euphyllophytes and is described here. The anatomy and morphology of permineralized axes of the new plant were studied with light and electron microscopy on sections produced using the cellulose acetate peel technique. Morphological comparisons and phylogenetic analysis were used for taxonomic placement of the plant. The plant represents a new species, Paracladoxylon kespekianum Chu et Tomescu, gen. et sp. nov., that has tracheids with modern-looking bordered pits and the complex cauline vascular architecture characteristic of the genus Cladoxylon. Its dissected ultimate appendages have complex regular taxis and a pattern of vascularization that suggests bilateral symmetry. Paracladoxylon kespekianum is one of the largest Early Devonian euphyllophytes, among the oldest representatives of the cladoxylopsid group, and older than any species of the closely related Cladoxylon by at least 35 million years. It is also one of the oldest anatomically preserved representatives of the cladoxylopsid group. Its anatomical organization pushes the rise of complex vascular architecture among moniliformopsid euphyllophytes deeper in time than previously recognized.

Microgreen as a Minimalist Vegetable Cultivation Innovation in Supporting Food Security Family in Urban Areas

Microgreen is a small vegetable or young edible plant with a soft texture. The purpose of this paper is to find out microgreen can be a solution in providing vegetable food in urban areas and to find out the content contained. The method used is literature review which is a reference to understand the research conducted by searching by reading various sources of books, journals, and other publications. The results of this writing microgreen does not require large areas of land for production, simple planting media. The advantages of microgreen include very easy maintenance, saving space, saving time and saving energy. The nutritional content contained in microgreen is at least 4-10 times more than that of vegetables in general.

Fermented Bamboo Shoot Health Benefits and Applications

The term "bamboo" evokes images of a hollow stick, embodying not just a simple plant but a source of numerous health benefits. In northeast India, tribes engage in the centuries-old practice of fermenting bamboo shoots, employing a biotechnological process that not only preserves food but also unlocks a myriad of health benefits. Fermentation transforms these shoots into a powerhouse for various microorganisms, offering probiotic, anti-oxidant, anti-cancer, anti-aging, cardio-protective, and weight loss properties. Beyond their health advantages, fermented bamboo shoots hold significant commercial value in the food industry, transcending their local origins to become a global commodity akin to "green gold." Originally confined to tribal areas and local markets, these fermented bamboo stalks have gained international recognition. This article delves into the health benefits, merits, drawbacks, future perspectives, and economic value of twenty-first-century fermented bamboo shoots, positioning them as a valuable and sought-after resource. As the world embraces sustainable and natural solutions, the fermented bamboo stalks from India stand out as not only a culinary delight but also a treasure trove of health benefits, weaving a narrative of culinary tradition meeting contemporary wellness trends.

Христианские символы в росписи склепов Херсонеса

The wall-paintings of 11 burial vaults of Chersonese, including mostly floral and vegetal designs, images of birds and imitation of marble wall-facing, correspond to the iconography of the early Christian funerary painting in the Late Roman Empire dating from the last quarter of the fourth to the early fifth century. Most likely, the outside painters of the Chersonesan vaults followed already established and well-known decorative and symbolic system by making a certain set of scenes. There is an image of undoubtedly Christian symbol, namely the Christogram, surviving on the vaulting of two structures only (uncovered in 1853/1905 and 2003/2006). There are four burial vaults more, featuring by the remains of paintings, possibly also of the Christogram. The line-drawing of the surviving images of Chersonesan Christogram meets with almost exact analogies, for example, in the tombs of Sophia, Thessalonike, and Sardis. For the first time, this article suggests that, apart from the Christogram, there was another Christian symbol used in the early Christian funerary painting of Chersonese, namely the four-petalled rosette, known from the walls of two burial vaults (the first located on N. I. Tur’s land, and the second uncovered in 2003/2006). The images of similar rosettes appeared on the pieces of art and in the funerary painting from the Hellenistic Period on. This extremely popular design of Classical art was primarily a decorative element and attribute of the garden of paradise. However, the Christians, especially in the age when the cult of the cross developed, most likely viewed the cruciform as a symbol. This observation concerns primarily the paintings with four-petal rosettes occupying an accentuated position in their decorative programme, actually replacing the image of the cross. A very vivid example of such use of the cross-shaped flower is the painting of tomb no. 37 in Thessalonike. In Chersonese, a case of the kind is the painting of the back wall of the burial vault located on N. I. Tur’s land. From the symmetrical location of three identical cross-shaped rosettes accompanied with two peacocks, with the middle rosette in the very centre of the composition, framed by a semi-circular fluffy garland, there are reasons to interpret them as cross-shaped symbols rather than simple plant designs.

Revisiting a Cornuéjols-Nemhauser-Wolsey formulation for the p-median problem

We revisit a formulation for the simple plant facility location and p-median problems introduced by Cornuéjols, Nemhauser and Wolsey (1980). Despite being the smallest known formulation regarding the number of variables, this formulation is barely used or cited in the literature. Here, we reintroduce the formulation for the p-median problem from a different perspective, resulting from the intersection of a selection problem with an additional family of optimality constraints to define the costs correctly. An alternative proof that the linear relaxation of the formulation is equivalent to the linear relaxation of the well-known classical formulation is provided. By exploring the optimality constraints we discuss approaches to derive bounds for large-size instances. These approaches are based on relaxations obtained by eliminating optimality constraints and can be seen as a simple matheuristic to solve large size instances. In particular, we characterize relaxations which provide the optimal solution, and therefore, can be seen as new formulations for the p-median problem. Computational tests are reported showing that the renewed formulation can be used efficiently to solve p-median instances.

Miscanthus giganteus: horizons of innovative research and implementation

Purpose. To substantiate promising areas of innovative research on the utilization of Miscanthus × gigantheus as a feedstock with a high cellulose content in various industries in order to preserve forests and prevent the development of environmental disasters. Methods. The analysis of theoretical and experimental studies, existing practices regarding promising varieties of Miscanthus × giganteus, genetic studies, chemical composition, physical properties and use. Results. The botanical and chemical characteristics of miscanthus plants, chemical composition, technology of cultivation and processing into solid biofuels, the ability to clean the soil from chemical contaminants (pesticides) and radionuclides are shown, and the expediency of using miscanthus biomass as a source for bioethanol and cellulose production is proved, which contributes to its extremely wide use in various sectors of the Ukrainian economy. Conclusions. Miscanthus × gigantheus is a simple plant that can solve complex problems: in the technological process of cultivation, it contributes to the improvement of ecological processes of agriculture; it has a high calorific value as solid fuels and biogas; as a lignocellulose, biomass with a high cellulose content is a good feedstock for many applications and contributes to forest conservation and the prevention of environmental disasters.

Assessing Li accommodation at amorphous ZrO2 grain boundaries

Nuclear Pressurised Water Reactors (PWRs) use zirconium alloys as a fuel cladding, preventing the cooling water, at elevated pH using lithium hydroxide, from interacting with the fuel. Boron, as boric acid, is added to the coolant as a reactivity shim. Future reactor designs are considering removing soluble boron reactivity control to aid plant simplification. The presence of lithium in the absence of boron in the coolant has, however, been found to accelerate the corrosion of zirconium-based alloys under certain conditions and the mechanisms by which this occurs is under investigation. The ingress of lithium into the bulk oxide layer of zirconium alloy has been addressed in a previous study and was found to be unlikely. Here, atomistic simulations were used to produce Brouwer diagrams from which the solubility of lithium in amorphous structures representing complex grain boundaries have been predicted. The solubility of lithium in these amorphous structures is predicted to be high and will produce an elevated concentration of oxygen defects within the amorphous structure. This could offer a mode for transport of oxygen to the metal oxide interface and, potentially, offer a mechanism or part of a mechanism for observed lithium-accelerated corrosion of Zr-based alloys.

Vapour pressure deficit was not a primary limiting factor for gas exchange in an irrigated, mature dryland Aleppo pine forest.

Climate change is often associated with increasing vapour pressure deficit (VPD) and changes in soil moisture (SM). While atmospheric and soil drying often co-occur, their differential effects on plant functioning and productivity remain uncertain. We investigated the divergent effects and underlying mechanisms of soil and atmospheric drought based on continuous, in situ measurements of branch gas exchange with automated chambers in a mature semiarid Aleppo pine forest. We investigated the response of control trees exposed to combined soil-atmospheric drought (low SM, high VPD) during the rainless Mediterranean summer and that of trees experimentally unconstrained by soil dryness (high SM; using supplementary dry season water supply) but subjected to atmospheric drought (high VPD). During the seasonal dry period, branch conductance (gbr ), transpiration rate (E) and net photosynthesis (Anet ) decreased in low-SM trees but greatly increased in high-SM trees. The response of E and gbr to the massive rise in VPD (to 7 kPa) was negative in low-SM trees and positive in high-SM trees. These observations were consistent with predictions based on a simple plant hydraulic model showing the importance of plant water potential in the gbr and E response to VPD. These results demonstrate that avoiding drought on the supply side (SM) and relying on plant hydraulic regulation constrains the effects of atmospheric drought (VPD) as a stressor on canopy gas exchange in mature pine trees under field conditions.

Rapid in-solution preparation of somatic and meiotic plant cell nuclei for high-quality 3D immunoFISH and immunoFISH-GISH

BackgroundThough multicolour labelling methods allow the routine detection of a wide range of fluorescent (immuno)probe types in molecular cytogenetics, combined applications for the simultaneous in situ detection of proteins and nucleic acids are still sporadic in plant cell biology. A major bottleneck has been the availability of high-quality plant nuclei with a balance between preservation of 3D ultrastructure and maintaining immunoreactivity.The aim of this study was to develop a quick and reliable procedure to prepare plant nuclei suitable for various combinations of immunolabelling and fluorescence in situ hybridisation methods (immunoFISH-GISH).ResultsThe mechanical removal of the cell wall and cytoplasm, instead of enzymatic degradation, resulted in a gentle, yet effective, cell permeabilisation. Rather than manually releasing the nuclei from the fixed tissues, the procedure involves in-solution cell handling throughout the fixation and the preparation steps as ended with pipetting the pure nuclei suspension onto microscope slides. The optimisation of several critical steps is described in detail. Finally, the procedure is shown to be compatible with immunolabelling, FISH and GISH as well as their simultaneous combinations.ConclusionA simple plant cell nuclei preparation procedure was developed for combined immunolabelling-in situ hybridisation methods. The main and critical elements of the procedure are: a short period of fixation, incorporation of detergents to facilitate the fixation of tissues and the penetration of probes, tissue grinding to eliminate unwanted cell components, and an optimal buffer to handle nuclei. The procedure is time efficient and is easily transferable without prior expertise.

Bioaccessibility and bioactive potential of different phytochemical classes from nutraceuticals and functional foods.

Nutraceuticals and functional foods are composed of especially complex matrices, with polyphenols, carotenoids, minerals, and vitamins, among others, being the main classes of phytochemicals involved in their bioactivities. Despite their wide use, further investigations are needed to certify the proper release of these phytochemicals into the gastrointestinal medium, where the bioaccessibility assay is one of the most frequently used method. The aim of this review was to gather and describe different methods that can be used to assess the bioaccessibility of nutraceuticals and functional foods, along with the most important factors that can impact this process. The link between simulated digestion testing of phytochemicals and their in vitro bioactivity is also discussed, with a special focus on the potential of developing nutraceuticals and functional foods from simple plant materials. The bioactive potential of certain classes of phytochemicals from nutraceuticals and functional foods is susceptible to different variations during the bioaccessibility assessment, with different factors contributing to this variability, namely the chemical composition and the nature of the matrix. Regardless of the high number of studies, the current methodology fails to assume correlations between bioaccessibility and bioactivity, and the findings of this review indicate a necessity for updated and standardized protocols.

Increased gene expression variability hinders the formation of regional mechanical conflicts leading to reduced organ shape robustness

To relate gene networks and organ shape, one needs to address two wicked problems: i) Gene expression is often variable locally, and shape is reproducible globally; ii) gene expression can have cascading effects on tissue mechanics, with possibly counterintuitive consequences for the final organ shape. Here, we address such wicked problems, taking advantage of simpler plant organ development where shape only emerges from cell division and elongation. We confirm that mutation in VERNALIZATION INDEPENDENCE 3 (VIP3), a subunit of the conserved polymerase-associated factor 1 complex (Paf1C), increases gene expression variability in Arabidopsis. Then, we focused on the Arabidopsis sepal, which exhibits a reproducible shape and stereotypical regional growth patterns. In vip3 sepals, we measured higher growth heterogeneity between adjacent cells. This even culminated in the presence of negatively growing cells in specific growth conditions. Interestingly, such increased local noise interfered with the stereotypical regional pattern of growth. We previously showed that regional differential growth at the wild-type sepal tip triggers a mechanical conflict, to which cells resist by reinforcing their walls, leading to growth arrest. In vip3, the disturbed regional growth pattern delayed organ growth arrest and increased final organ shape variability. Altogether, we propose that gene expression variability is managed by Paf1C to ensure organ robustness by building up mechanical conflicts at the regional scale, instead of the local scale.

An Effective Plant Recognition Method with Feature Recalibration of Multiple Pretrained CNN and Layers

Current existing methods are either not very discriminative or too complex. In this work, an effective and very simple plant recognition method is proposed. The main innovations of our method are threefold. (1) The feature maps of multiple pretrained convolutional neural networks and multiple layers are extracted; the complementary information between different feature maps can be fully explored. (2) Performing spatial and channel feature recalibration on each feature map enables our method to highlight salient visual content and reduce non-salient content; as a result, more informative features can be discerned. (3) In contrast to conventional transfer learning with end-to-end network parameters fine-tuning, in our method one forward process is enough to extract discriminative features. All recalibrated features are concatenated to form the plant leaf representation, which is fed into a linear support vector machine classifier for recognition. Extensive experiments are carried out on eight representative plant databases, yielding outstanding recognition accuracies, which demonstrates the effectiveness and superiority of our method obviously. Moreover, the retrieval experiments show our method can offer higher or competitive mean average precisions compared with state-of-the-art method. The feature visualization shows our learned features have excellent intra-class similarity and inter-class diversity for leaf species from the same genus.

Electrostatic Theory of the Acidity of the Solution in the Lumina of Viruses and Virus-Like Particles.

Recently, Maassen et al. measured an appreciable pH difference between the bulk solution and the solution in the lumen of virus-like particles, self-assembled in an aqueous buffer solution containing the coat proteins of a simple plant virus and polyanions (Maassen, S. J.; et al. Small 2018, 14, 1802081). They attribute this to the Donnan effect, caused by an imbalance between the number of negative charges on the encapsulated polyelectrolyte molecules and the number of positive charges on the RNA binding domains of the coat proteins that make up the virus shell or capsid. By applying Poisson-Boltzmann theory, we confirm this conclusion and show that simple Donnan theory is accurate even for the smallest of viruses and virus-like particles. This, in part, is due to the additional screening caused by the presence of a large number of immobile charges in the cavity of the shell. The presence of a net charge on the outer surface of the capsid we find in practice to not have a large effect on the pH shift. Hence, Donnan theory can indeed be applied to connect the local pH and the amount of encapsulated material. The large shifts up to a full pH unit that we predict must have consequences for applications of virus capsids as nanocontainers in bionanotechnology and artificial cell organelles.

Stimulus classification with electrical potential and impedance of living plants: comparing discriminant analysis and deep-learning methods

The physiology of living organisms, such as living plants, is complex and particularly difficult to understand on a macroscopic, organism-holistic level. Among the many options for studying plant physiology, electrical potential and tissue impedance are arguably simple measurement techniques that can be used to gather plant-level information. Despite the many possible uses, our research is exclusively driven by the idea of phytosensing, that is, interpreting living plants’ signals to gather information about surrounding environmental conditions. As ready-to-use plant-level physiological models are not available, we consider the plant as a blackbox and apply statistics and machine learning to automatically interpret measured signals. In simple plant experiments, we expose Zamioculcas zamiifolia and Solanum lycopersicum (tomato) to four different stimuli: wind, heat, red light and blue light. We measure electrical potential and tissue impedance signals. Given these signals, we evaluate a large variety of methods from statistical discriminant analysis and from deep learning, for the classification problem of determining the stimulus to which the plant was exposed. We identify a set of methods that successfully classify stimuli with good accuracy, without a clear winner. The statistical approach is competitive, partially depending on data availability for the machine learning approach. Our extensive results show the feasibility of the blackbox approach and can be used in future research to select appropriate classifier techniques for a given use case. In our own future research, we will exploit these methods to derive a phytosensing approach to monitoring air pollution in urban areas.

PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage

Segmentation of plant point clouds to obtain high-precise morphological traits is essential for plant phenotyping. Although the fast development of deep learning has boosted much research on segmentation of plant point clouds, previous studies mainly focus on the hard voxelization-based or down-sampling-based methods, which are limited to segmenting simple plant organs. Segmentation of complex plant point clouds with a high spatial resolution still remains challenging. In this study, we proposed a deep learning network plant segmentation transformer (PST) to achieve the semantic segmentation of rapeseed plants point clouds acquired by handheld laser scanning (HLS) with the high spatial resolution, which can characterize the tiny siliques as the main traits targeted. PST is composed of: (i) a dynamic voxel feature encoder (DVFE) to aggregate the point features with the raw spatial resolution; (ii) the dual window sets attention blocks to capture the contextual information; and (iii) a dense feature propagation module to obtain the final dense point feature map. We then integrated PST with an instance segmentation head in the point grouping network (PointGroup) and developed PST-PointGroup (PG) to achieve the instance segmentation of the siliques. The results proved that PST and PST-PG achieved superior performance in semantic and instance segmentation tasks. For the semantic segmentation, the mean IoU, mean Precision, mean Recall, mean F1-score, and overall accuracy of PST were 93.96%, 97.29%, 96.52%, 96.88%, and 97.07%, achieving an improvement of 7.62, 3.28, 4.8, 4.25, and 3.88 percentage points compared to the second-best state-of-the-art network position adaptive convolution (PAConv). For instance segmentation, PST-PG reached 89.51%, 89.85%, 88.83% and 82.53% in mCov, mWCov, mPerc90, and mRec90, achieving an improvement of 2.93, 2.21, 1.99, and 5.9 percentage points compared to the original instance segmentation network PointGroup. This study extends the phenotyping of rapeseed plants in an end-to-end way and proves that the deep-learning-based point cloud segmentation method has a great potential for resolving dense plant point clouds with complex morphological traits.

Detection and classification of plant diseases in leaves through machine learning

Plant diseases cause significant productivity and economic losses, as well as a reduction in agricultural product quality and quantity. One principal impact on low crop yield is sickness due to bacteria, virus and fungus It is possible to avoid it by employing plant disease detection and categorization procedures. We used machine learning to detect and classify diseases in plant leaves because it evaluates data from several perspectives and categorizes it into one of several predefined classifications. In this research we create a model for the classification task which is sequential model. We trained a convolutional neural network (CNN) with help of the plant village dataset, which have 55,000 images divided into 39 completely distinct categories of each healthy and effected leaves. We trained data by using Adam optimization technique because it almost constantly plays quicker and higher global minimal convergence in comparison to the alternative optimization techniques. We achieved a validation accuracy of 98.74% using the architecture of CNN containing optimized parameters. CNNs, as can be observed, have a high-stop overall performance, making them surprisingly suitable for computerized identification of plant illnesses using simple plant leaf images. The experiment effects completed are similar with different current strategies in literature.

Prediction of total phenolic acids contained in plant extracts by PLS-ATR-FTIR

Phenols found in plants are becoming increasingly important. Hydroxybenzoic and hydroxycinnamic acids are the predominant phenolic acids. The main objective of this study is to exploit the experiments carried out for the specific quantification of phenolic acids present in plant extracts by PLS-ATR-FTIR to the determination of total phenolic acids (TPA). Individual phenolic acids were measured between 1566 and 563 cm −1 whereas the common band representative of the total phenolic acids was selected between 1737 and 1624 cm −1 . To pass from the quantification of individual-specific phenolic acids to the deduction of the content of total phenolic acids, present in extracts of aromatic plants by PLS-ATR-FTIR, we considered a simple calculation of the concentration of total phenols as being the sum of the concentrations of standard phenols present in the mixtures and the selection of a spectral region common to all the phenolic acids considered. The study developed provides a simple, fast, and precise procedure for the individual simultaneous determination of six phenolic acids (salicylic acid, p-hydroxybenzoic acid, vanillic acid, gallic acid, trans-cinnamic acid, and eugenol) and the estimation of the total phenolic acids present in eighteen extracts of aromatic plants, with the additional advantage of the possibility of examining the plant extracts with a simple plant material extraction by maceration with ethanol which is classified as a green solvent thus providing a green methodology. • Direct estimation of total phenolic acids content in aromatic plants was done by PLS-ATR-FTIR • Quantification of six phenolic acids in aromatic plants without chromatographic separation • Best PLS-ATR-MIR results obtained for the spectral region 1737-1624 cm −1 • Green methodology that only requires ethanol for a simple extraction from plant material