\r\n\tThe objective of the proposed book is to give a multi-perspective view on role of autophagy in injury, infection and cancer diseases. The book chapters aim to elucidate autophagy pathways in sustaining the host defense mechanisms, adaptive homeostasis as well as in remodeling and regeneration events that are essential for recuperation of the affected tissues. A specific subject for discussion will be up-regulation and/or impairment of autophagy and crinophagy in phagocytes/granulocytes and adult stem cells.
\r\n
\r\n\tRationale: \r\n\tThe cell/tissue responses to acute stress, trauma/injury or pathogens are mediated by expression and release of plethora of paracrine and endocrine effectors including DAMPs, PAMPs and inflammatory cytokines, chemokines, defensins, and reactive intermediate species. These effectors drive the integrative interactome constituted by hubs of the acute phase response modules, the inflammatory response modules, the module of the adaptive homeostatic response in the damaged parenchymal cells, vascular cells, immunocompetent cells and emerging stem cells. Among these defense mechanisms is autophagy – the lysosomal pathway for processing of compromised cell constituents and/or bacterial and viral pathogens. In this light, explication of the role of autophagy in cellular pathology may arouse R&D of new modalities for management of devastating diseases such as injury, acute infections or cancer.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"3daed6048bc8ff8368c4279558f109d7",bookSignature:"Dr. Nikolai Gorbunov",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/7997.jpg",keywords:"Autophagy-related Genes, Autophagy-related Proteins, Organelle Network, Signaling Mechanisms and Modulators, Cell Damage, Tissue Damage, PAMP and DAMP, Inflammasome, Autophagy Evasion, Cancer Stem Cells, Cancer Target Therapy, Disease",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 23rd 2019",dateEndSecondStepPublish:"October 14th 2019",dateEndThirdStepPublish:"December 13th 2019",dateEndFourthStepPublish:"March 2nd 2020",dateEndFifthStepPublish:"May 1st 2020",remainingDaysToSecondStep:"a year",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"180960",title:"Dr.",name:"Nikolai",middleName:null,surname:"Gorbunov",slug:"nikolai-gorbunov",fullName:"Nikolai Gorbunov",profilePictureURL:"https://mts.intechopen.com/storage/users/180960/images/system/180960.jpg",biography:"Dr. Gorbunov obtained his Ph.D. degree in Biology from the Russian Academy Sciences. Then, he was a recipient of the NRC NAS (http://sites.nationalacademies.org/pga/rap/) and the Department of Energy fellowship awards to pursue postdoctoral training in translational science at the University of Pittsburgh and the Pacific Northwest National Laboratory (https://www.emsl.pnl.gov/emslweb Washington, USA). His translational research area has encompassed molecular pathology of trauma and countermeasures against acute radiation injury that was explored at the Walter Reed Army Institute of Research (http://wrair-www.army.mil) and the Uniformed Services University of the Health Sciences. His research interests are the disease-specific mechanisms driving alterations and defense responses in organelles, cells and tissues constituting biological barriers. 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Jackson Foundation for the Advancement of Military Medicine",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Uniformed Services University of the Health Sciences",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"6",title:"Biochemistry, Genetics and Molecular Biology",slug:"biochemistry-genetics-and-molecular-biology"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"270941",firstName:"Sandra",lastName:"Maljavac",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/270941/images/7824_n.jpg",email:"sandra.m@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"64658",title:"Linear CCD-Based Spectrometry Using Either an ASIC or FPGA Design Methodology",doi:"10.5772/intechopen.81654",slug:"linear-ccd-based-spectrometry-using-either-an-asic-or-fpga-design-methodology",body:'\n
\n
1. Introduction
\n
The proliferation of imaging devices in many applications today is due to the significant technological progress that has occurred over the last few decades in the area of image sensing, particularly with respect to charge-coupled device (CCD) sensors. Today, they are found everywhere from document line-scanned imaging to high-definition planar image acquisition, thereby covering a wide variety of applications. The interest to use CCDs in serious scientific instruments arose from the advances in the area of high-sensitivity, large-area and low-noise CCDs. These CCDs began to routinely provide a high quantum efficiency (QE) figure for each of the millions of pixels, low-noise readout over wide spectral and dynamic ranges. One factor that contributed to these advances is that solutions were given to many of the problems associated with defect states of the semiconductor substrates on which the devices were built. Defects lead to low charge transfer efficiencies due to their lossy nature. This made it difficult to fabricate large format image sensors. Various other advancements allowed the reduction of readout noise, thereby improving the photodiode sensitivity even further [1]. Of particular note is the electron multiplication scheme that provided on-chip gain with a net effect that is analogous to the operation of the photomultiplier tube (PMT). The typical CCD imager consists of a coordinated collection of individual photodiodes that can range from a few hundred pixels for computer optical mouse position encoding to high-speed high-definition imaging [2]. For many applications, the CCDs consist of primary color composite arrays that have image resolutions approaching 1200 dots per inch, excellent low-lux sensitivity. In general, devices with high QE and high detection sensitivity over wide wavelengths are fast-approaching performances nearly equal to the traditional photomultiplier tube, with an added bonus of having built-in control electronics that require only correct timing and serially orientated data acquisition [3, 4, 5, 6, 7]. The vast number of individual photosensors and serial readout for the typical CCD sensor necessitates a rather complex layout of additional components that are peripheral to the CCD for the purposes of control phasing and the actual data acquisition. CCDs have been successfully applied to many scientific applications, such as the cryogenically cooled CCDs in astronomy applications, in spectroscopy, and in education [8, 9, 10, 11, 12, 13, 14]. The operational principle of a CCD is simple in practice, namely that the individual photosensors are synchronously and serially clocked output. This poses formidable implementational challenges due to the complexity of biasing, timing, and control on any CCD device, for a usable intensity output data stream with high bandwidth images. According to the Nyquist sampling theorem, acquisition must therefore proceed at least twice the image bandwidth [15]. In practice, the analog-to-digital converter (ADC) must operate faster than the Nyquist frequency because of the mandatory intermediate processes in the sequence of acquisition, from initialization to acquired image transmission to data terminal equipment (DTE). There are a number of usable approaches to the implementation of the sequences in the image acquisition from a CCD device. The first is the basic microcontroller- or microprocessor-based approach. The second is based on a field programmable gate array (FPGA), and the third is based on an application-specific integrated circuit (ASIC)-based design. The third strategy is based on a custom-designed hardware application, known as an application-specific integrated circuit (ASIC). The ASIC approach offers a competing strategy to FPGA that, despite its generally higher speed and throughput, is likely to better suit larger corporations that have the resources to develop and manufacture specific integrated circuit designs. The needs for mass deployment of an ASIC require justification, such as the range and the volume of the final units required. Where the ASIC is the desired implementation, it is more likely that an FPGA will be used in the developmental stage for design and validation before a custom ASIC can be developed. The cores of such an FPGA-derived ASIC can have provisions for upgrading, such as externally connected dual data rate (DDR) block memories and secure device cards (SD cards) for storage upgrading, user-specifiable display options, USB communications, and other peripheral technological features. Generally, it has become trivial to configure the internal complex logic blocks into a user-defined architecture with optimized memory and execution speed in a manner that is less reliant on additional peripherals and firmware.
\n
An alternative solid-state imaging technology to the CCD is commonly referred to as active pixel sensors (APSs), which are based on complementary metal oxide semiconductors (CMOSs). The allure of the CMOS transistor is its low form factor (FF) on the semiconductor substrate in comparison with bipolar devices. In fact, advances in CMOS fabrication techniques are largely responsible for the microprocessor revolution because they are more suitable for large-scale integration (LSI). Therefore, APS devices have the primary advantage of having higher pixel densities; hence, these devices have larger pixel arrays and wider photon collection areas. The simplicity of the APS sensing mechanism, which comprises single photodiode and at most three transistors, is vastly reduced in comparison with that of the CCD. A detection element in an APS array essentially follows a randomized access, row-column addressing protocol. The CCD element, on the other hand, relies on a sequential conveyance of charge, leading to a framing approach to image recovery. The general consensus appears to be that CMOS sensors suitable for scientific instrumentation still have much room for improvement with respect to QE, in spite of having higher image access speeds [1, 16, 17]. The low QE figures for APS devices stem from what is referred to as the “fill factor,” which is a measure of the actual detection area to the entire area of the APS element. Although slow, CCDs have a high fill-factor and a large full-well capacity which makes them suitable for astrological imaging. The need to improve the QE figure has been the subject of active research and development, which has led to the attainment of CMOS performance at par with CCDs. Furthermore, unlike CMOS arrays, CCD pixels are not amenable to avalanche-gain enhancement at a given detection site, frequency/phase lock-in, and do not benefit from local pixel amplifiers to improve the signal-to-noise (SNR) figure. Also, CMOS benefits significantly from time-correlated imaging, global shutter synchronization, photon counting, and 0.1–0.5e- (sub-electron) RMS readout noise levels. The definition of color at pixel level through color filtering by using different p-n junction layers is easier in CMOS. Hybridized devices comprising CCD and CMOS that capitalize on the desirable aspects of each technology are also now being developed [18, 19]. A detailed comparison between CCD and CMOS imagers is beyond our present scope. Holst and Lomheim [20], Janesick et al. [21, 22], and others provide a good review of the two alternatives.
\n
We begin by discussing the design methodologies that might be considered when designing a spectrometer for scientific applications, such as wavelength resolvable imaging using a linear CCD. Then, a typical FPGA spectrometer design based on an exemplary CCD is described after laying out the rationale for why the FPGA is preferred for the design. The approach taken in this work is to present a proof-of-concept for the overall system functionality rather than as a final implementation. The FPGA is therefore being used merely for design verification with the intention to re-synthesize onto a purely ASIC system. However, it must be noted that the proprietary nature of the Xilinx IP cannot be synthesized without a license onto non-Xilinx ASICs processes from various manufacturers, such as the Taiwan Semiconductor Manufacturing Company (TMSC) or Global foundries. This would then necessitate the design of equivalent codes for FIFOs and other IPs before implementation using ASICs.
\n
\n
\n
2. FPGA or ASIC?
\n
For high-volume productions, the lower unit cost of an ASIC has generally made it attractive in comparison to FPGAs. FPGAs are now widely recognized as using leading edge technologies in order to obtain the same system performance as an ASIC in older technologies; an increasing number of FPGA-based systems are routinely being converted to ASICs. However, the appeal of ASICs transcends the issue of cost alone. ASIC systems generally have significantly much lower power consumption, and this is a bonus in battery-operated mobile devices such as cameras and mobile phones. Also, the hard coding of the logic in an ASIC leads to more secure and reliable systems by making it virtually impossible to reprogram the device. This reliability makes ASICs the obvious choice over FPGAs for critical applications. Over the past two decades, there has been a gradual movement toward the development and application of femtosecond time-resolved spectroscopy (TRS) in many areas of measurement [23, 24, 25, 26, 27, 28, 29]. Such imagers are used quite extensively with CCD and CMOS cameras to give high readout rates. Such fast performance places a significant demand on the control system. In TRS, fixed position measurements are correlated at fixed photon transit times. This is largely due to the increasing number of pixels and resolution of these cameras [30, 31, 32, 33, 34]. In general, the processing requirements of temporally demanding applications that maintain high sensitivity within a single package tend to transcend the capability of commercially sourced off-the-shelf components. ASICs have amicably risen to the challenge and are finding increasing usage for such applications, particularly because they do away with the need for a dedicated, high-throughput ADC altogether. Thus, these developments mean that printed circuit board level design practices of ADCs are no longer needed. The characterization of the ADC becomes critical in such applications, but ASICs and FPGAs are natively suited for speed optimization during the design phases. High-input bandwidth ADCs with sampling frequencies of over 300 Ms./s that digitize events with femtosecond resolution and low crosstalk are now commonly implemented using ASICs [35, 36, 37] as well as FPGAs [38]. Such ASICs are found in critical experiments such as the Large Hadron Collider (LHC) [39], space [1], organic, and biomedical applications [19, 20, 21, 22, 23, 24, 25, 26, 27].
\n
\n
2.1. The FPGA design flow
\n
Figure 1 depicts the design steps in a typical FPGA-based design process. In general, FPGAs provide reduced design time and bug fixes due to faulted design logic since the logic design step in customary ASIC designs is absent. The verification of deep-submicron placement issues, particularly with respect to performance issues of heat removal and speed, is easily achieved. The prototype designs can be verified virtually instantly during development as many times as necessary by simply downloading the design into the development test bed. The disadvantage is that a given FPGA design relies heavily on the programmer’s abilities to write efficient FPGA code. The performance of the design therefore somewhat relies on developer’s ability. As with ASICs, there is a clear need to optimize the hardware instance.
\n
Figure 1.
Typical FPGA design flow.
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\n
\n
2.2. The ASIC design flow
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Figure 2 depicts the design steps in a typical ASIC-based design process. ASIC tools are generally script driven, unlike FPGAs. In the development process, FPGA system designers are increasingly reliant on graphical user interfaces (GUIs), although the very high speed integrated circuit (VHSIC) hardware definition logic (VHDL) is inherently script driven. In ASIC design, postsynthesis analyses of the timing and functional equivalences are the responsibility of the system designer before prototyping. The effects of deep-micron logic element placements need careful appraisal by the designer, unlike in FPGAs where they are routinely part of the design verification step. Designing using FPGAs is therefore associated with fast turnaround.
\n
Figure 2.
Typical ASIC design flow.
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\n
\n
2.3. A typical FPGA application in CCD-based spectroscopy
\n
Figure 3 shows the schematic of a typical linear CCD application in which the light focused on the CCD by a lens array is derived from a reflective or transmissive grating after striking a carefully positioned sample being characterized [14]. The general elements in the layout are identifiable in other specific implementations. The output of the grating is proportional to wavelength and manifest as angularly dispersed alternating zones of high and low light intensity with a linear resolution in terms of spectral, that is, wavelength spread or range per unit length [2].
\n
Figure 3.
Layout of the image-forming arrangement typical in a scientific spectrometer.
\n
Figure 3 shows the general schematic of the image forming optics. A real but inverted image, shown as \n\n\nx\nλ\n\n′\n′\n\n\n\n, is required to fall onto the photosensitive areas of the CCD for detection. This image is a magnification of the virtual object \n\n\nx\nλ\n′\n\n\n, which is itself the result of net interference of the light source as it passes through the grating. It is easy to show that the spread of wavelength along the total detection array length of the CCD is distance resolved. Thus, assuming that the achromatic reduction lens has image magnification \n\nm\n\n, where generally \n\nm\n<\n1\n\n, then the lengthwise spread of the image along the CCD’s photosensors is:
\n
\n\n\n\n\nx\nλ\n\n′\n′\n\n\n=\nαλ\n,\n\n\n\nE1
where \n\n\n\nα\n=\nmL\n/\nd\n\n\n\n.\n
Therefore, a bright spot located at the position \n\n\nx\nλ\n\n′\n′\n\n\n\n will be at wavelength \n\nλ\n\n and an intensity measured at the corresponding photodiode. Hence, a direct readout of the CCD intensity data is possible. By utilizing a standardized light source, the voltage output of the CCD can be calibrated in lux; although this is not necessary in a spectroscopic application where knowing the spectral character and the relative peak intensities is more important than actual intensity, it is normal to express the output count in arbitrary units (au). Therefore, a plot of the CCD sensor output, which is proportional to the incident intensity, versus wavelength suffices for many applications. In our particular case, the CCD output is measured in volts. The CCD output is read out sequentially in step with synchronization pulses. The hardware or software that receives the CCD output should therefore be designed to interpret that the CCD output as being within a well-defined frame. Figure 4 shows the timing and control signals that are typical in linear CCDs for the detection of three colors. The waveform-labeled OS (serial output) shows the intensity variations relative to the sample and hold (SH), clocking phases (Φ1 and Φ2), and the register shift (RS) signals.
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Figure 4.
Timing diagrams that lead to the generation of CCD output.
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Figure 4 shows the complexity of the signals required to drive a typical CCD in even the most cursory application, without data acquisition in any form. These signals are derived from an actual CCD, the TCD2557, which henceforth we shall refer to as the exemplary application. The complexity of the additional conditioning circuitry can be appreciated by considering the following scenario. The exemplary CCD has 5415 elements that make up the readout frame, but 5340 actual photosensors. The remaining 75 elements are dummy sensors, 64 presensor blocks and 11 postsensor blocks. The CCD requires dual-phase clock signals (Φ1 and Φ2) which, if run at 1.25 MHz (\n\n\n\nτ\n=\n0.8\nμ\ns\n\n\n\n), define the shortest frame time of 5415\n\nτ\n\n = 4.332 ms. The needs of additional processing cause timing overheads beyond the needs to construct the frame. USB transfers and other processes are nonparallel and consume added real time. Between the three afore-mentioned design strategies that would realize a practical spectrometer that is designed around the exemplary linear CCD, the microcontroller approach is the least efficient for the following reason. If the ADC presumably uses an 8-bit successive-approximation, ADC converter running at 1 MHz (i.e., \n\n\n\nτ\n=\n1\nμ\ns\n\n\n\n), then each photodiode level is converted to at least \n\n\n\n\n2\n8\n\nτ\n=\n2.56\n\n\n\n ms. It is likely that an associated temporary memory for \n\nM\n=\n8192\n\n (\n\n4192\n<\n\n\nM\n=\n5340\n\n\n<\n8192\n\n) bytes will be required. The operation of such a memory will be such that at the end of each conversion the memory is written with the ADC result. All photodiodes are then completely digitized in \n\n\n\n5340\n×\n\n2\n8\n\nτ\n≈\n13.67\n\n\n\n s. This time is clearly far too long for a simple 8-bit acquisition. In addition, the firmware-defined timing signals need to be generated and issued to the CCD from the free output lines of the microcontroller, further complicating the design and requiring an extremely fast microcontroller. It is estimated that the operating frequency of such a microcontroller would need to be well in excess of 40 MHz. Figure 5 shows an FPGA-based spectrometer built around a Xilinx Spartan FPGA. Several specific FPGAs may be used. For reasons of cost and availability, the author settled for the Spartan-6 LX9 FPGA device for an actual spectrometer application to drive the TCD2557 CCD [40, 41, 42, 43]. The Xilinx software development kit (SDK) allows the organization of the complex logic blocks (CLB) in some of its FPGAs into a powerful, firmware-defined 100-MHz microprocessor referred to as MicroBlaze. With phase-locked loop clock synthesis, MicroBlaze is capable of 400-MHz internal clock speeds. This complex, proprietary engine has all the functionalities of a microprocessor. Furthermore, as with normal microcontrollers, MicroBlaze can be further controlled by a user-defined firmware written in a high-level language such as C/C++. A major advantage of VHDL is that its processes are, by default, parallel and can be made either synchronous or asynchronous. Thus, the generation and handling of the timing and synchronization signals becomes a trivial exercise. Figure 6 shows the organization of the Spartan-6LX9 to implement the requisite control signals and the connection of the CCD.
\n
Figure 5.
Block diagram of an FPGA-driven CCD-based spectrometer.
\n
Figure 6.
FPGA-based CCD block schematic based on a typical Xilinx FPGA, the Spartan-6LX9. The implementation relies on various intellectual properties (IP) such as MicroBlaze.
\n
The FPGA hardware strategy features a parallel design paradigm that is generally simpler and highly repeatable. The FPGA design thus far is volatile with respect to the power state that is lost when the power to the FPGA is removed. The bitstream file that represents the developed design and defines the application must therefore be stored in an electrically erasable programmable read-only memory (E2PROM) and reloaded into the FPGA at power on. The role of the intermediate memory is then implemented by defining an 8-kilobyte \n\n×\n\n 8-bit first-in first-out (FIFO) structure. Using a FIFO buffer allows the readout device to operate at a slower clock rate alongside other parallel processes such as acquisition and USB transfers. In the actual application mentioned above, we have achieved a CCD readout rate of 1.23 gigabit/s per color.
\n
Figure 7 shows the actual oscilloscope output (a) in response to the diffracted spectrum (b) obtained when a source of illumination was directed at the spectrometer.
\n
Figure 7.
Actual photographs showing (a) the actual TCD2557 CCD output, (b) the CFL lamp spectrum that generates the output in (a).
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\n
\n
2.4. The operational principle
\n
The Spartan-6 MicroBlaze FPGA intellectual property (IP) owned by Xilinx differs from the conventional micro-controller that comes with a fixed architecture and is supported by rigid peripherals in that it permits the arbitrary implementation of high-speed functional blocks from the array of CLBs, clocks, and system management tiles. Their internal structures can be arranged into several virtual, highly parallel microcontrollers and peripherals [41]. The advancements that culminate in MicroBlaze and other IPs are made possible due to the optimization of the logic of these “sixth-generation” FPGAs. The inherent 45-nanometer, copper-interconnected architecture permits devices to be built for speed and low-power consumption. Thus, FPGA-based applications having good cost/power and cost/performance ratios are a reality [42]. There are other FPGAs beside Xilinx made that have well-defined development flow. In the exemplary CCD implementation, we have implemented an efficient system comprising a 2-register, 6-input lookup table (LUT), steering logic, 18 kilobytes of random access memory (RAM), and support for the USB 2.0 standard for communications with the DTE. These features therefore make the FPGA a very good alternative to the microcontroller approach. In contrast to the FPGA approach, there are on the market dedicated CCD management ASICs, such as those developed by the CCD manufacturers themselves. However, the lead time, specificity to CCD, general complexity, and cost are factors to consider during the design of the application. Many ASICs are heuristic, “black box” solutions to complex image acquisition. Such solutions are, for the low volume designs at least, that ASICs can be notoriously closed, proprietary solutions whose innards and general operations are hard to decipher without knowledge of the intellectual property, or some amount of reverse engineering. Therefore, while an ASIC can deliver a blazingly fast and reliable performance in a given application, it can be beyond the means of a low volume production in terms of development cost and ASIC design. In this work, the necessary CCD control signals are derived from a finite state machine (FSM) that operates concurrently with a MicroBlaze core. Huang et al. have described their Xilinx FPGA implementation of a visualization spectrometer [43]. The FSM also synchronizes the 20 MB/s half-flash ADC with the FIFO. It effectively controls the output sequencing of the CCD output into the FIFO structure through the sample-and-hold (SH) signal, thereby allowing FIFO buffer reads by the DTE at rates that are significantly lower than the ADC conversion rate [37, 44, 45]. Much slower DTE interfaces, such as computer soundcard sampled at 44.1 kHz, can readily digitize the intensity stream using a number of third-party software (Figure 8).
\n
Figure 8.
Flowchart of the timing, control, synchronization, and DTE communications using an FPGA or FPGA-derived ASIC strategies.
\n
\n
2.4.1. Emulating a microcontroller strategy using an IP core
\n
The concept of reusable intellectual properties (IP) pioneered by Xilinx in their sixth-generation FPGAs speeds up the design process even further [40]. These are verified, visually presented subunits and instantiation templates that save further development time and effort. The sole requirement of the user is to correctly declare the desired unit and functionality, and then to contextualize the instance of the IP subunit. This approach, which has been employed in our practical instrument with respect to a 100-MHz MicroBlaze core and the FIFO IPs, enhances repeatability and dramatically improves lead-in time. The resulting system is supported by 16 kilobytes of RAM, a general-purpose output register (GPO) of 5-bit width, an 8- and 4-bit general-purpose input (GPI) registers, and communication interfaces consisting of a USB 2.0 port and a universal asynchronous receiver transmitter (UART). The UART is configured for 9600 baud, 8 bits, 1 stop bit, and no parity (9600, 8, N, 1). At present, the system does not process interrupts pertaining to the image acquisition stages.
\n
\n
\n
2.4.2. A description of the FIFO IP core
\n
The implementation of the 8-kilobyte \n\n×\n\n 8-bit FIFO structure was done requisitioning 18 kilobytes of BRAM and relied on separate clocks for reading and writing to the structure [1]. Figure 5 shows a diagrammatic depiction of how the FSM [46] scheme was configured to generate the various control and clock signals to drive the CCD and other features in the design. The handshaking and flag-signals handling that are typically associated with FIFO synchronization and flow control by a DTE unit were not used here, for the sake of simplicity and quick realization of a basic spectrometer. The design settled for software flow control instead. Potential data loss can be avoided and the performance maximized by defining a 3-byte threshold that signals a full FIFO buffer. Once detected, the DTE flushes the FIFO. The data transfers to the DTE are initiated only upon the detection of the FIFO full state. This approach effectively frees up the DTE to other processing tasks during image acquisition. In Figure 4, the rising-edge transitions of the shift-pulse (SP), clamp-pulse (CP), and the photodiode cell reset (RS) produce the analog level-shifting action that defines the CCD operation. In this way, intensity level sensed by a photodiode, which is held as a proportional voltage, is shifted into the next photodiode and eventually out of the CCD analogue output, until all photodiode levels have been shifted out of the frame. All three colors, red, green and blue (RGB), are shifted out in parallel output by the same pulse transitions. The external control of the FIFO by the DTE occurs through the high-level, SDK-developed C/C++ that understands the hardware description, right from the initiation of the design. Upon a request by the DTE, the FPGA sends all of its 8-kilobyte contents to the DTE through the available communication channel. After the reception of the image data by the DTE is completed, the software on the host recomposites the intensity data using a suitable parsing algorithm. At this point, all the intensities and pixels are then matched numerically. The interpretation of these data then yields information about the light that falls on the CCD. This light can be due to the secondary scattering by a sample under characterization.
\n
\n
\n
\n
\n
3. Conclusions
\n
This chapter presents a sufficiently detailed discussion regarding the pros and cons of three approaches in the design of a linear spectrometer instrument that uses a tricolor, CCD image sensor. The completed instrument is capable of being used for serious scientific measurements. The approaches discussed are with respect to the complex timing and signal conditioning requirements to realize a workable output from the CCD. These approaches are (i) microcontroller based, (ii) ASIC based, and (iii) FPGA based. We then described the essential aspects of the design by outlining the CCD and system control signals, the data acquisition and communication needs of the overall instrument. We suggest that the FPGA design approach leads to a high degree of reliability, repeatability for the task since a high performance, for rapid application development. The embedded intellectual properties found on later generations of Xilinx’s FPGAs, most notably the MicroBlaze and FIFO IPs, allow rapid application definition, implementation, and testing on a low-cost FPGA. We have discussed an exemplary 20 Ms./s image acquisition system for a spectrometer instrument that allows both USART and USB 2.0 communications with a normal personal computer. The output data stream, comprising intensity versus wavelength format, can be incorporated directly into postprocessing programs. An equation was derived to show how the alignment and calibration of the spectrometer may be done. An aim of this has been to demystify the complexity of the system by outlining in sufficient detail the physics behind image sensing while presenting the overarching challenges that such sensing presents to the acquisition system. The sensing of wavelength-proportional intelligence with a resolution suitable for serious scientific work clearly generates vast amounts of data, from the sensor frontend up until the final acquisition and storage on the DTE, on a time domain that approaches real time. This naturally raises questions about the best acquisition strategy. We evaluate the pros and cons of the FPGA approach versus the ASIC. For a small-scale development, the FPGA provides a quick route to design completion, whereas the ASIC route may be preferable in larger volume productions. This spectrometer has in fact been deployed in thermoluminescence (TL) measurement, photoluminescence (TL), and line scans. The relative ease with which the FPGA was reconfigured for different, actual CCD displays from different manufacturers aptly demonstrates the versatility of the chosen design approach for once-off or low volume products such as this spectrometer. Characterization of the readout rates using a 400-MHz digital storage oscilloscope (DSO) on the TCD2557 CCD produced a sustained figure of 1.23 gigabit/s.
\n
\n\n',keywords:"linear image sensing, FPGA, ASIC, image acquisition, high-speed processing",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/64658.pdf",chapterXML:"https://mts.intechopen.com/source/xml/64658.xml",downloadPdfUrl:"/chapter/pdf-download/64658",previewPdfUrl:"/chapter/pdf-preview/64658",totalDownloads:340,totalViews:0,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,dateSubmitted:"March 15th 2018",dateReviewed:"September 24th 2018",datePrePublished:null,datePublished:"September 18th 2019",dateFinished:null,readingETA:"0",abstract:"At room temperature, high-responsivity charge-coupled devices (CCD) comprising arrays of several thousand linear photodiodes are readily available. These sensors are capable of ultraviolet to near infrared wavelengths sensing with detecting resolutions of up to 24 dots per millimeter. Their applicability in novel spectrometry applications has been demonstrated. However, the complexity of their timing, image acquisition, and processing necessitates sophisticated peripheral circuitry for viable output. In this chapter, we outline the application specifications for a versatile spectrometer that is reliant on a field programmable gate array (FPGA) automation. The sustained throughput is 1.23 gigabit per second 8-bit color readout rate. This approach is attractive because the final FPGA design may be reconfigured readily to a single, branded, application-specific integrated circuit (ASIC) to drive a wider range of linear CCDs on the market. This is advantageous for rapid development and deployment of the spectrometer instrument.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/64658",risUrl:"/chapter/ris/64658",book:{slug:"advances-in-photodetectors-research-and-applications"},signatures:"Richard Ocaya",authors:[{id:"250585",title:"Dr.",name:"Richard",middleName:null,surname:"Ocaya",fullName:"Richard Ocaya",slug:"richard-ocaya",email:"ocayaro@ufs.ac.za",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. FPGA or ASIC?",level:"1"},{id:"sec_2_2",title:"2.1. The FPGA design flow",level:"2"},{id:"sec_3_2",title:"2.2. The ASIC design flow",level:"2"},{id:"sec_4_2",title:"2.3. A typical FPGA application in CCD-based spectroscopy",level:"2"},{id:"sec_5_2",title:"2.4. The operational principle",level:"2"},{id:"sec_5_3",title:"2.4.1. Emulating a microcontroller strategy using an IP core",level:"3"},{id:"sec_6_3",title:"2.4.2. A description of the FIFO IP core",level:"3"},{id:"sec_9",title:"3. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'Waltham NR, Prydderch M, Mapson-Menard H, Pool P, Harris A. Development of a thinned back-illuminated CMOS active pixel sensor for extreme ultraviolet spectroscopy and imaging in space science. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2007;573(1-2):250-252. DOI: 10.1016/j.nima.2006.10.259\n'},{id:"B2",body:'Ocaya RO. A linear CCD spectrometer based on FPGA for light-source characterization. In: Applied Mechanics and Materials, Proceedings of the International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics, March 2015, London, UK. Vol. 763. 2015. pp. 120-125. DOI: 10.4028/www.scientific.net/AMM.763.120\n'},{id:"B3",body:'Wang Y, McCreery RL. 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DOI: 10.1109/NSSMIC.2011.6154362\n'},{id:"B39",body:'ALICE TPC—Technical Design Report. A Large Ion Collider Experiment: ALICE TPC—Technical Design Report. ISBN 92-9083-155-3. 1999\n'},{id:"B40",body:'Spartan-6 FPGA Family. The low-cost programmable silicon foundation for targeted design platforms. Product Brief PN2402-2. Xilinx. 2011\n'},{id:"B41",body:'Spartan 6 LX9 Microboard [Internet]. Available from: https://products.avnet.com/opasdata/d120001/medias/docus/1/Xilinx_s6-lx9-microboard-pb020411.pdf [Accessed May 1, 2016]\n'},{id:"B42",body:'DS160 Spartan-6 Family Overview [Internet]. Available from: http://www.xilinx.com/support/documentation/data_sheets/ds160.pdf [Accessed May 1, 2016]\n'},{id:"B43",body:'Huang XH, Liu HW, Ye LS. Visualization spectrometer based on refit Xilinx FPGA. In: Applied Mechanics and Materials, Proc. Int. Conf. Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. Scientific.Net. Vol. 755. 2013. pp. 427-429. 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University of the Free State, Phuthaditjhaba, South Africa
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1. Introduction
Nature Aided Drug Discovery (NADD) represents the most ancient approach in finding new active compounds for fighting human diseases, and still today it plays a crucial role in drug discovery [1]. New chemical entities (NCE) from natural derivation represent a relevant slice among the drugs approved by Food and Drug Administration (FDA) and the European Medicines Agencies (EMA) for commercialization and administration on humans [2]. More than half the total anti-infective drugs approved in the last forty years resulted from a NADD approach and a similar trend can be observed for anticancer drugs, where 41% of them derived from natural sources and only 16% are classifiable as totally synthetic small molecules [2]. Moreover, the Global Herbal Medicine Market Size is expected to increase to USD 129 billion by 2023, according to Market Research Future [3].
The success of NADD finds its main reason in the wider and heterogeneous chemical space covered by natural products whether compared with synthetic derivatives. The 83% of the chemical scaffolds found in natural compounds are unique and absent in synthetic NCE, due to the lack of commercially available synthons or cumbersome and prohibitive synthetic procedures [4]. Thus, the screening of libraries of compounds derived from natural sources still remains a worthy procedure for the identification of new and unexplored NCE. Besides, marine sources or lichens are still almost uninvestigated and might therefore represent an inestimable treasure of new potential drugs [5, 6, 7].
The natural compounds of interest in NADD are secondary metabolites that are not directly involved in the essential functions of the cell cycle and duplication processes and are characterized by high structural variability. From a structural standpoint, they are classified into alkaloids, terpenoids, saponins, lignans, flavonoids, and tannins [8]. Secondary metabolites are produced in different amounts for vexillary functions or defensive responses to biotic or abiotic stress being involved in the system of plant defense [9]. For this reason, specific secondary metabolites may be considered as markers of the plant health and may be used to evaluate the quality of the selected natural matrix and the effects that the environmental factors have on it. The evaluation of their content in natural sources, as well as their recovery, require the exploitation of ad hoc extractive procedures since secondary metabolites are mainly present in the intracellular domain. Thus, appropriate extraction procedures involve the rupture of the cell wall and cellular membranes, thus favoring the passage of the secondary metabolites into the extraction solvent, from which they can be recovered.
Over the years different protocols and techniques have been developed for the extraction of metabolites from natural matrices, named Solid–Liquid Extraction (SLEs). SLEs are classified in conventional (or traditional) and non-conventional (or innovative) methodologies [10]. In conventional methodologies, SLE is performed by heating the natural source with conventional heating sources (i.e., flame, heating plate, or mantle) in the presence or not of solvent and with or without stirring. Examples of conventional methodologies are maceration (digestion, infusion, and decoction), percolation, and Soxhlet or steam distillation. Solvents, or generally mixtures of solvents, with wide grades of polarity such as methanol, ethanol, acetone, ethyl acetate, trichloromethane, hexane, etc. are employed. Nevertheless, conventional extraction methods usually require a large volume of solvents, long extraction time, and high temperature. Such harsh extraction conditions may lead to thermal or chemical degradation of the metabolites, thus resulting in a low yield of the final extract. Moreover, the upscaling at an industrial level would be impracticable, owing to energy consumption, technological inaccessibility, and environmental considerations [11]. Conversely, non-conventional methodologies exploit innovative chemical–physical principles and cutting-edge technologies to facilitate the extractive procedures and the recovery of the product of interest from the natural source. Varied energy sources and extractive principles may be exploited and, therefore, specific equipments are needed. Microwave-assisted Solid Extraction (MASE), ultrasound-assisted extraction (UAE), pressurized solvent extraction (PLE), and supercritical fluid extraction (SFE) are the most frequently non-conventional methodologies extensively used for NADD [11].
In this chapter, the potential of microwave-assisted irradiation for the extraction of secondary metabolites from plants, and natural resources in general, will be discussed, with a special focus on recent applicative examples of the most representative chemical classes.
2. Microwave-Assisted Solid Extraction (MASE)
The physical principles underlying MASE are completely different from those of conventional extraction because microwave irradiation can cause a more effective disruption of the cellular structures (cell walls and cellular membranes) thus favoring the release of the cellular content and speeding up the extraction process. The interaction of microwave irradiation with the solvents, intracellular water, and ions causes an increase of the dipolar rotation and ionic conductivity of molecules with dipolar moments and ions, which results in a rise of the temperature inside the cell. The vaporization of the intracellular water causes the dehydration of the cellular wall and the reduction of its resistance. This, combined with the abrupt increment of the intracellular pressure, leads to the cell wall and membranes disruption, thus facilitating the passage of the secondary metabolites into the extractive solvent [12, 13].
This is the result of a synergistic combination of heat and mass gradient working in the same direction from the inside to the outside of the cell, as confirmed by Scanning Electron Microscopy (SEM) analysis (Figure 1) [14].
Figure 1.
Microwave heating effect on cells.
Monomodal and multimodal microwave systems also referred to as single- or multi-mode systems specifically designed for MASE are nowadays available. A single-mode system permits to focus the microwave radiation on a restricted zone where the sample is subjected to a much stronger electric field. Conversely, in a multimode system, the microwave radiation is randomly dispersed within the microwave cavity, where the sample is irradiated [15]. Both mono- and multi-modal microwave devices comprise a magnetron, which generates microwave radiation, a waveguide, which is used to propagate the microwave from the source to the microwave cavity, the applicator, where the sample is placed and a circulator that allows the microwave to move only in the forward direction. The main difference between the two systems relies on the applicator that in the case of a multimodal system is a closed cavity where the microwaves are randomly dispersed, whereas in the monomodal oven the extraction vessel is directly located in-line with the waveguide [15]. Both systems are effective in extracting metabolites from natural sources, and their use is usually related to the amount of natural matrix. Accordingly, the monomodal system is preferred when the amount of natural source to be treated is relatively low (milligram to gram scale), and vice versa. Microwave extraction may be performed using open or closed extraction vessel systems. The open vessel apparatus originated from a modification of domestic MW ovens. The extraction is conducted at ambient pressure and the vessel is directly connected to a condenser to avoid loss of solvent or volatile components. An evolution of the open vessel apparatus is the Focused Microwave-Assisted Soxhlet (FMASE) which combines the classical Soxhlet extraction (SE) technique with MW irradiation. In the closed vessel system the entire extraction vessel is located within the oven, thus allowing better control of the pressure and temperature during the extraction [16].
The closed-vessel system presents several advantages: i) a higher temperature than open vessel systems can be reached because of the increased pressure inside the vessel raises the boiling point of the solvents used, thus decreasing the time needed for the extraction; ii) the loss of volatile substances is completely avoided because they are confined within the vessel; iii) a low amount of solvent is required because no evaporation occurs and there is little or no risk of airborne contamination thus preventing the oxidation of air-sensitive metabolites; iv) the fumes are contained within the vessel, reducing the hazard of the extractive procedure.
In a closed vessel system high pressure can be reached. The high pressure stimulates various phenomena according to LeChatelier’s principle, such as the transition of phase from one form to another, change in reaction dynamics, change in molecular structure, etc. hence resulting in the enhancement of extraction efficiency. Accordingly, working under high pressure causes alterations in the structure of some constituents of the cells such as lipids, proteins, enzymes, and outer cell membranes, thus damaging the plant wall and internal structure of the cell and reducing the mass transfer resistance. In this way, the secondary metabolites are released, leaving behind other cellular components. The High-Pressure MASE (HPMAE) is considered a newly emerging technique. It is a time-efficient, convenient, eco-friendly, safe, and energy-efficient extraction method when compared to the traditional or conventional methods of extraction [17].
Nevertheless, the use of closed-vessel systems presents some drawbacks: the amount of samples that can be processed is limited; the addition of reagents or solvents during operation is forbidden and the vessel must be cooled down before it can be opened to avoid loss of volatile constituents [16]. For processing a large amount of material, an open-vessel system is more appropriate. It allows the possibility to add reagents and to refill the solvent during the extraction, and to remove the excess of solvent during the extraction procedure. Moreover, the extraction of thermolabile metabolites is allowed since it usually reaches low temperatures relative to closed-vessel systems. On the other hand, the open-vessel systems ensure less reproducible results compared to the closed-vessel systems and the extraction in open-vessel could require a longer time to obtain results comparable to those achieved in closed-vessel [16].
The microwave energy may be applied also to extraction in solvent-free conditions (Solvent Free Microwave Extraction-SFME) [12]. In this case, the plant material is directly placed into the microwave reactor, without the addition of any solvent. The heating of the water contained by the plant material distends the natural matrices and causes the rupture of the cells releasing their content. This process has been successfully applied for the extraction of the essential oils. After MW heating, the volatile components co-evaporate with the in-situ water contained in the natural matrix; the vapors condense outside the microwave oven into a collector where they separate between essential oils and the aqueous phase. The latter is brought back into the vessel to refresh the amount of water in the sample, whereas the essential oil is collected apart [12].
3. Procedure set-up
The performance of the MASE process is strictly related to the operative conditions employed. Several parameters, such as solvent, solvent-drug ratio, temperature, time, pressure, microwave power, water content, and characteristic of the matrix must be optimized in setting up a MASE procedure. Each of these parameters should not be considered alone, but they are all linked together and the comprehension of the effects and influences of these factors is pivotal for MASE efficiency. A brief discussion about the role of these parameters in the design of a MASE protocol is herein reported.
3.1 Solvent
The selection of the solvent plays a crucial role in MASE, as well as in other conventional extraction processes, and several solvent parameters (solubility of the analyte, penetration, interaction with the matrix, dielectric constant, and mass transfer kinetic process) should be considered to perform the right choice. In primis, the solvent should assure the highest solubility of the analyte of interest while excluding undesired matrix components. However, conversely to the traditional extractive procedures, the chosen solvent must be able to absorb the microwave radiation and to convert it into heat. This depends on the dielectric constant and the dielectric loss of the solvent. Thus, in microwave application, solvents are usually classified in low, medium, or high absorbance whether they absorb at 300 W (i.e. carbon chlorides, 1,4-dioxane, tetrahydrofuran, diethyl ether, ethyl acetate, pyridine, toluene, chlorobenzene, xylenes, and hexane), 200 W (i.e. water, DMF, NMP, butanol, acetonitrile, HMPA, ketones, o-dichlorobenzene, 1,2-dichloroethane, 2-methoxy ethanol, acetic acid, and trifluoroacetic acid) or 100 W (i.e. DMSO, ethanol, methanol, propanol, nitrobenzene, formic acid, ethylene glycol), respectively. For low absorbing solvents, the heating rate can be increased by mixing with solvents with a higher dielectric constant or by adding salts to the mixture [18]. Recently, increasing interest in ionic liquids as MASE solvents or modifiers has been observed. Ionic liquids are organic salts with low melting points, and they are usually liquid at room temperature. They are characterized by extremely low vapor pressure, high stability and can solubilize both polar and non-polar metabolites. Moreover, they have the advantage to be eco-friendly solvents, although their extensive use is limited due to the high commercial costs. Another emerging eco-friendly alternative is the use of deep eutectic solvents. They possess physical and chemical properties similar to the ionic liquids, but they show better biodegradability, toxicity profiles, and solubility properties. Lastly, the content of water in the sample should be taken into account since it influences the heating rate and facilitates the transport of the analytes into the solvent at higher rates [19].
As stated in the previous paragraph, a Solvent-Free Microwave Extraction (SFME) is also possible. This procedure foresees the direct irradiation with MW of the plant material, fresh or rehydrated. A crucial role is played by the content of water in the sample, because it is the heating of such water to cause the rupture of the cells of the plant material, favoring the release of the content. This process is mainly applied for the extraction of volatile compounds such as essential oil. The oil evaporates by azeotropic distillation with the water contained in the sample. After cooling outside of the microwave reactor the oil separates from the water and can be collected through a modified Clevenger apparatus. Water is refluxed back into the microwave oven to allow the continuous extraction of the oil from the sample [12].
3.2 Liquid-Solid (L/S) ratio
Another important parameter to consider in the set-up of a MASE protocol is the ratio between the amount of sample and the volume of solvent. The latter should be enough to cover the sample during the entire process, especially when the matrix swells during the extraction process. Although in conventional extraction higher is the volume of solvent, higher is the yield of the extract, in MASE larger volume of solvent may result in more energy and time to heat the suspension and in a lower yield due to a non-uniform distribution and exposure to microwave. Usually, an L/S from 10:1 to 20:1 (mL/mg) is found to be the right ratio in many extractive processes reported in the literature [20].
Strictly correlated to the L/S ratio is the stirring rate since it affects the mass transfer process in MASE. However, the significance of this parameter is rarely explored. By stirring, the mass transfer barrier created by the concentrated compounds in a localized region due to insufficient solvent can also be minimized resulting in better extraction yield. In other words, agitation accelerates the extraction speed by accelerating the desorption and dissolution of compounds bound to the sample matrix [17].
3.3 Time
Extraction times in MASE lasts from a few minutes up to half an hour, and this represents an advantage for the extraction of thermal or oxygen labile compounds since it avoids the degradation of the compounds of interest [21]. The extraction yield is directly proportional to the extraction time, although it has been observed that this increment is very small for an extremely long time. Moreover, for longer extraction time overheating may occur, especially with high absorbent solvents, thus exposing thermolabile compounds to degradation. Whether longer extraction time is required, consecutive and shorter extraction cycles are preferable. The solvent can be collected after each extraction cycle and a fresh solvent could be added to the residue to guarantee the exhaustion of the matrix. This discontinuous procedure has been applied for the extraction of several secondary metabolites from plant material, allowing an enhanced yield and low decomposition of thermolabile compounds [22].
3.4 Temperature and microwave power
Temperature and MW power are strictly correlated. Power is the driving force of the process since it provides the energy necessary to excite the dipolar moments and the ionic conduction of the constituent of the sample, resulting in a proportional increase of the temperature and promoting the destruction of the natural matrix. Thus, the power of the microwave irradiation has to be carefully dosed in function of the amount of the sample, the solvent employed, the extraction time required, and the chemical stability of the secondary metabolites of interest [23]. Increasing the power results in an improved extraction yield and shorter extraction time. However, this result is true until the reaching of an optimal temperature beyond which a decrease in yield is observed, mainly due to the thermal stability of the target metabolite [24].
Accordingly, the temperature is a key parameter to enhance the efficacy of MASE and to avoid at the same time the degradation of the sample. Thus, the choice of the extraction temperature is strictly related to the properties of the solvent, the chemical stability of the metabolites of interest, and the microwave system used. In particular, at high temperatures the viscosity and the surface tension of the solvent diminish; moreover, the capability to solubilize the analytes, and to wet and penetrate the matrix increase, thus resulting in improved extractive efficacy. Also, when operating in a close-vessel, there is the advantage of heating the solvent above its boiling point, thus leading to a more performing extraction [25].
To conclude, the development of a proper MASE methodology must consider at least four variables: solvent, liquid/solid ratio, temperature, and time. To speed up the set-up of the procedure, the Design of Experiment (DoE) approach may be applied. This is a systematic statistic-based tool to assess the best experimental conditions both in the academic and industrial fields [26]. Thanks to this approach, all the variables and their interactions can be evaluated while doing the minimum number of runs.
Over the years, microwave-assisted extraction has been successfully applied to extract diverse classes of secondary metabolites (i.e. polyphenols, flavonoids, coumarins, terpenoids, cannabinoids, and alkaloids) from natural sources, for evaluating the plant productivity, for extracting bioactive compounds both for drug discovery or for commercial purposes.
Here below, studies of plant productivity based on MASE methodology and specific cases of extraction of natural compounds of pharmaceutical and nutraceutical interest will be discussed, with a special focus on resveratrol, terpenoids, and cannabinoids.
4. MASE procedures successfully applied to secondary metabolites extraction
4.1 Evaluation of plant productivity
Numerous applications report about the use of the MW to assist the extraction of organic and organometallic compounds from various matrices (soils, sediments, water samples, botanicals), with special emphasis on environmental applications [27, 28]. Extraction of natural matrices is essential to compare their productivity under different stress conditions [9], harvesting time [29], and places [30]. MASE offers the possibility of performing multiple extractions and therefore, it is suitable for the rapid screening of a numerous set of samples to evaluate the productivity of organisms.
An example is a work performed by Martino et al., regarding the MASE of Melilotus officinalis, harvested in different environmental situations, to compare the amount of coumarin and related compounds, and to find the best condition for its cultivation [22]. The Authors developed a rapid, reliable, and reproducible method of extraction from M. officinalis inflorescence of coumarin (Figure 2), melilotic acid, and o-coumaric acid, considered as productivity markers of the plants. A comparison of different extraction techniques evidenced that MASE is the best procedure in terms of both yields and extraction time [22]. The optimal extraction conditions consisted of two successive irradiations of 5 min each at 50°C, with a cooling step in between, and it resulted suitable for application to large sets of samples [22].
Figure 2.
Secondary metabolites extracted via MASE approach and considered as markers of the plant productivity.
Another example is the setup of a fast and reproducible extraction methodology of vitexin and its isomer isovitexin from Crataegus monogyna (Figure 2) for evaluating the plant productivity and determining the best ecological conditions for hawthorn cultivation in northern Italy (Lombardy). These metabolites have a high pharmaceutical value due to their anti-hyperalgesic and neuroprotective effects and their activity against oxidative stress, cancer, and inflammation [31].
Within this context, Martino et al. set up a MASE procedure that can be applied for quantitative extraction of both metabolites from C. monogyna in just 3 minutes [50% aqueous methanol (v/v), 120°C, 120 W], bringing advantages both in terms of time (3 min vs 6 hours) and solvent consumption (0.05 vs 0.10 g/mL) over standard extraction methods [30]. The developed MASE protocol combined with isocratic HPLC analysis is suitable for the rapid screening of plant materials collected in different environmental conditions, and to determine the best ecological conditions for its cultivation. To extract vitexin and isovitexin from Crotalaria sessiliflora, Tang et al. exploited a microwave-assisted cloud-point extraction (MACPE). MACPE combines cloud-point extraction (CPE) with MAE. This has emerged as a technique to extract and separate bioactive compounds from medicinal plants [32]. Of note, using MACPE, hydrophobic compounds present in the aqueous phase can be favorably extracted into the hydrophobic core of micelles [33]. Applying MACPE, vitexin and isovitexin have been obtained in high yields and short times [34].
MASE can also be applied to study the effect of micronutrients or pollutants on secondary metabolites production. Amri et al. investigated the impact of soil copper (II) concentrations on nutrient uptake and the antioxidant system of Marrubium vulgare. Owing to waste deposition and agricultural practices, copper (II) tends to accumulate in high and toxic concentrations, leading to an alteration of the vital physiological or biochemical functions of the plants. As it is the case of M. vulgare, these effects may have a great impact on human health, since such a plant is used worldwide for its medicinal properties. To perform the study, the Authors selected marrubiin (Figure 2) as a reference compound, since it is the main secondary metabolite produced by M. vulgare leaves. A MASE protocol was developed for the easy extraction of marrubiin. This procedure allowed to evaluate the quality of a wide range of samples of white horehound. To optimize the process, the Authors used the statistical DoE approach. DoE findings indicated that the highest extraction efficiency of marrubiin with high repeatability was obtained using 100% ethanol at 120°C for 15 min, with significant benefits in terms of extraction times and environmental impact, given that ethanol is completely biodegradable. The MASE methodology may be applied for the characterization of M. vulgare herbal drug samples, thus evaluating their exposure to abiotic stress, revealing their phytochemical status, and facilitating the identification of raw materials obtained from a plant grown under stress conditions.
To sum up, MASE procedures is a versatile technique suitable for the evaluation of the plant productivity, and to assess the quality of vegetal matrices, since it is fast, reproducible, suitable for extraction of a large number of samples and requires a low amount of natural matrix.
4.2 Extraction of secondary metabolites for drug discovery or commercial purposes
4.2.1 Alkaloids
Alkaloids are a well-known class of secondary metabolites characterized by basic nitrogen. Over the years, many active alkaloids have been extracted via MW irradiation, e.g. ephedrine alkaloids, cocaine, and ergot alkaloids [35, 36, 37]. Unfortunately, results obtained for many of them have been comparable or worst if compared with the traditional method [38]. Nevertheless, microwaves have also spurred the discovery of new active alkaloids at the early stage of drug discovery. MASE protocols can be exploited to extract different alkaloids (examples are reported in Figure 3) from different botanicals like tuberous roots, leaves, and seeds [37, 39, 40].
Figure 3.
Examples of alkaloids extracted via the MASE approaches.
As an example of MASE applied to the extraction of alkaloids, Pan et al. obtained a good recovery of caffeine and polyphenols from the leaves of green tea (Thea sinensis L.). MASE provided high extraction and selectivity, required a short time, and less labour-intensive, thus resulting in an efficient method in comparison with the conventional extraction procedures [41].
Xiong et al. developed an efficient MASE protocol, within a drug discovery process, for the isolation of bioactive alkaloids (e.g. liensinine, isoliensinine, neferine, dauricine, nuciferine, Figure 3) from Lotus plumule. The optimal extraction conditions required a 65% aqueous methanol as a solvent and irradiation at 200 W for 260 seconds [42]. Another interesting example, reported by Zhou et al., is the microwave-assisted aqueous two-phase extraction, useful for rapid and simultaneous extraction and separation of alkaloids. This technique was applied to Radix Sophorae tonkinensis. The optimum conditions were summarized as follows: ethanol/Na2HPO4 as the extraction solvent, 100 mesh as particle size, 1:75 of S/L ratio, irradiating at 90°C for 5 min [43]. Matrine, sophocarpine, oxymatrine, oxysophocarpine, 5α-hydroxysophocarpine, sophoranol, cytisine, N-methylcytisine, and sophoridine were efficiently extracted.
Recently, Belwal et al. reported an optimized MASE protocol, defined by multicomponent analysis, for the extraction of berberine (Figure 3) and polyphenols from diverse species of Berberis. The medical properties of berberine (anti-diabetic, hepato-protectant, anti-arthritic, antioxidants, anti-microbial, neuro-protective, and hypo-lipidemic activity) are widely recognized, and it is used in pharmaceuticals and nutraceuticals preparation. In this study, multi-component analysis (MCA) has been used to extract berberine and polyphenols from B. jaeschkeana roots under microwave-assisted extraction (MAE) conditions. All the variables, above described, were considered under 42 experiments and the results of the model showed significant model fitness. Under optimized MAE condition, (i.e. 100% methanol, pH 2.0, 598 W, 2 min of irradiation time), the berberine and palmatine (Figure 3) contents were recorded in 4.6% and 2.0%, respectively. Under the optimized condition, the yield of alkaloids was found closer to the models’ predicted value [34].
Regarding the alkaloids employed as drugs, or of interest for the toxicological use and/or abuse, few extractive procedures by MASE are reported in the literature. As an example, Brachet et al. extracted cocaine and benzoylecgonine from the leaves of Erythroxylum coca by MASE. Different solvents, particle size, time, and power were evaluated. Since MeOH is a high absorbing microwave solvent, and cocaine is highly soluble in it, it was found to be the best extraction solvent [36]. Interestingly, MASE found application in the forensic field as a rapid and cleanup-free method for the extraction and quantification of drugs of abuse and the respective metabolites from human fluids and tissues. Fernandez et al. reported the simultaneous extraction of cocaine, benzoylecgonine, cocaethylene, morphine, 6-monoacethylmorphine, and codeine from human urine [44], hair [45], and vitreous humor samples [46]. The MASE procedure reduces the extraction time, avoids the cleanup steps, and allows a quantitative recovery of the drugs.
4.2.2 Stilbene-based polyphenolic compounds
Stilbene-based polyphenolic compounds, i.e. resveratrol, pterostilbene, and piceatannol, are of particular interest from a medicinal chemistry standpoint, having multiple pharmacological activities (Figure 4).
Figure 4.
Chemical structure of polyphenolic-stilbene based secondary metabolites.
In particular, trans-resveratrol (3, 5, 4′-trihydroxystilbene) became popular as a result of an attempt to explain the “French paradox” [47]. Resveratrol and other polyphenolic-stilbene derivatives showed a wide range of beneficial physiological properties. They possess antibacterial, anti-inflammatory, hypolipidemic, cardiovascular-hepatoprotective, and anticancer activities [48, 49, 50]. In particular, the hypolipidemic and cardiovascular protective activity derived from the agonistic activity against PPARα and PPARγ receptors [51, 52] For all this benefit, resveratrol has attracted the attention of the scientific community and pharmaceutical and nutraceutical industries. Indeed, several drugs and dietary supplements containing resveratrol are commercially available.
Even though resveratrol is produced naturally in plants, the extraction of resveratrol in commercial quantities is a problem, because of its low concentration, multiple steps of isolation and purification, unfriendly environmental issues, and seasonal occurrence [53]. Moreover, the preparation of resveratrol by synthesis is difficult owing to the formation of many unwanted side products [54, 55]. Only recently, the production of resveratrol in heterologous engineered microorganisms has been proposed [56]. Thus, resveratrol is still being extracted from wild Polygonum cuspidatum’s root (Japanese knotweed), grape skins and seed, and the domestic giant knotweed of China, which is the world’s largest producer [53, 56, 57, 58]. Garcia-Ayuso et al., in late 1998, found that by applying the MW irradiation to SE, the last of the extraction was drastically reduced from 8 hours to 60 minutes with comparable results to SE in yield. MASE was further optimized by testing solvents and times on bark extraction and compared to SE on the same tree sample. The results suggested that microwave extraction may be more efficient than SE.
The extraction of resveratrol by MASE from different plant materials (i.e. Arachis repens and grape seeds) has also been investigated. To exhaustively extract resveratrol from A. repens, commonly known as peanut grass, three different methodologies (conventional maceration, ultrasound-assisted extractions, and MASE) have been compared. Although sonication resulted more effectively in the extraction of resveratrol compared to MASE and maceration, MASE showed to be an excellent choice since it extracted high yields in a reduced time [59].
In another study, Dang et al. combined the aqueous two-phase extraction technique (ATPE) with MASE for the extraction of the total polyphenol content, including resveratrol, from grape seeds [60]. Microwave-assisted ATPE (MAATPE) required lower solvent concentration and less time compared with other methods such as refluxing solvent or SE. A higher level of resveratrol was obtained with MAATPE, in contrast to ATPE. The Authors also compared the effectiveness of three solvents (water, water: ethanol (1:1) and ethanol) and three extraction methods, including MASE and ultrasound-assisted extraction (UAE) and the conventional SE. MASE provided a better extraction with water and ethanol (1:1) obtaining extracts very rich in polyphenolic substances, including stilbenes.
Lastly, MASE has successfully applied also for the extraction of other polyphenolic-stilbene based compounds such as pterostilbene, mainly found in blueberries and in Pterocarpus marsupium heartwood, and ε-viniferin, found in Vitis coignetiae, a wild grapevine (Figure 4). Kim et al. reported the MASE of pterostilbene, and other derivatives, from Vitis coignetiae, using 80% ethanol at 90 W for 15 min, resulting in a stilbenoids overall yield of 0.13%, with pterostilbene the most representative compound in the extract [61]. An optimized protocol (70–150 W for 8–18 min, using 30–50% ethanol) was further developed for the extraction of viniferin from the same drug [48]. Recently, Pinero et al. disclosed a new process for recovering stilbenes from woody vine by-products such as grape stem and cane samples. MASE was carried out under different extraction conditions. The best results were achieved from grape stems, using 80% ethanol in water as an extraction solvent, a temperature of 125°C, an irradiation power of 750 W for 5 min [49].
4.2.3 Terpenoids
4.2.3.1 Artemisinin and paclitaxel
Terpenes and isoprenoids, in general, gained much attention for their physiological functions (i.e., hormones, aliphatic membrane anchors, maintaining membrane structure), ecological roles (i.e., defense compounds, insect/animal attractants), and extensive pharmaceutical applications such as flavors, fragrances, and medicines.
In particular, artemisinin and paclitaxel represented two milestones in the fight against malaria and cancer, respectively. Artemisinin (Figure 5) is a sesquiterpene lactone isolated from Artemisia annua and it is a first-class drug for the treatment of drug-resistant malaria. The conventional artemisinin extraction procedure requires room temperature, heat-reflux, or SE. Hao et al., in 2002 reported a first attempt to extract artemisinin from Artemisia annua by MASE. Several solvents were explored, such as ethanol, trichloromethane, cyclohexane, n-hexane, petroleum ether, and two in-house oils. Compared with SE, supercritical CO2 extraction, and normal stirring extraction, MASE of artemisinin from Artemisia annua considerably reduced the processing time to 12 minutes and resulted in a 92.1% extraction rate (compared to several hours and 60% extraction yield obtained with Soxhlet) [50]. Later, Liu et al. applied the MASE for the isolation and quantification of artemisinin in comparison with the traditional protocols. MASE confirmed shorter extraction time necessity, reduced solvent consumption, and higher recovery of artemisinin than conventional procedures. The best extraction solvent was petroleum ether–acetone (4:1 v/v), because of the high solubility of artemisinin and adequate microwave energy absorption, at 50°C. The highest yield of artemisinin achieved was 0.55% in 30 minutes among all the extractive methods used [62].
Figure 5.
Chemical structures of artemisinin and paclitaxel.
Recently, Misra et al. developed a rapid and reliable MASE and HPTLC protocol for the analysis of artemisinin. The optimized MASE conditions required 100 mg of dried and grinded drug with a size of 14 mesh dispersed into 10 mL of toluene. The irradiation of the sample at 160 W for 120 seconds led to the extraction of 0.816% of the content of artemisinin.
Paclitaxel (Figure 5) is a member of the taxane class, and it is one of the most important anticancer drugs approved for human use against ovarian, breast, and pulmonary cancer.
Although the total synthesis of paclitaxel has been reported, its application for the commercial production of this drug is impracticable. Thus, paclitaxel is still produced by extraction from taxol biomass. The most commonly used methods for the extraction of paclitaxel require the use of methanol at ambient temperature, although other protocols requiring refluxing methanol, 1:1 methanol-chloroform at ambient temperature, and percolation using ethanol or 95% ethanol-water at ambient temperature have been reported. However, these methods require a long time (12–24 h) for a complete extraction. Incorvia-Mattina et al. reported for the first time in 1997 the use of MASE to optimize the efficiency of the extraction of paclitaxel. The effects of the biomass, solvent ratio and water content on taxane recovery were also determined. Under appropriate MASE conditions an extract equivalent to the one obtained by conventional extraction methods was produced [63].
Talebi et al. investigated the use of MASE to extract paclitaxel from the needles of Taxus baccata L. The extraction parameters were investigated resulting in 90% aq. MeOH as a solvent, a temperature of 95°C, 7 min of extraction time, and a closed-vessel system as the best performing extractive conditions [64].
Recently, another study for the extraction of paclitaxel from biomass through MASE and based on kinetic and thermodynamic analysis has been carried out. The majority of paclitaxel was recovered from the biomass (∼99%) within 6 min in a single cycle of microwave-assisted extraction at microwave powers of 50–150 W and temperatures of 30–45°C [64].
4.2.4 Phytocannabinoids
Cannabis sativa L. has always been considered a controversial plant due to its use as both medicine and illicit drug. Nevertheless, Cannabis is a good source of nutrients, fibers, and natural compounds thus, its industrial and pharmaceutical use is undoubtful. Cannabis produces a peculiar class of natural compounds, namely phytocannabinoids. The two most important and renowned phytocannabinoids are the cannabidiol derivatives (i.e. CBD, CBDV, CBDB, and CBDP) [65, 66] and the tetrahydrocannabinol derivatives (i.e. Δ9-THC, Δ9-THCV, Δ9-THCB, and Δ9-THCP) [66, 67] reported in Figure 6. Δ9-THC is responsible for the recreational use of hemp and therefore its use is banished or tightly regulated by national governments.
Figure 6.
Chemical structures of CBD-like and THC-like major phytocannabinoids present in C. sativa.
CBD-like derivatives are non-psychotropic compounds but with other recognized pharmacological properties such as anti-inflammatory, antioxidant, and anticonvulsant. As an example, Epidiolex, a CBD-based anticonvulsant drug, has been approved in 2018 by Food and Drug Administration for the treatment of seizures associated with Lennox–Gastaut syndrome (LGS), Dravet syndrome, or tuberous sclerosis complex (TSC) in patients 1 year of age and older.
The discovery of a plethora of pharmacological activities ascribed to CBD and other minor phytocannabinoids has increased attention from both scientists and industries for medical, nutraceutical, and cosmetic applications of these cannabinoids.
Several synthetic procedures have been developed and optimized for the industrial preparations of phytocannabinoids and in particular of CBD. However, this process suffers from several drawbacks such as the cost of the starting materials, reagents and solvents, the formation of by-products with consequent cumbersome purification procedures, and the difficulty to control the stereochemistry, the isomerism of the terpenic double bond, and the easy interconversion of CDB into THCs in the synthetic conditions.
Thus, the extraction and purification of phytocannabinoids from C. sativa remain the preferred procedure for its cost-effectiveness. Besides, tight monitoring of the chemical consistency of the extracts results therefore mandatory in producing consistent and reliable medical cannabis preparations for human uses. Recently, Nahar et al. reviewed all the procedures adopted at the present for the extraction of naturally occurring phytocannabinoids [68].
Focusing on MASE, Lewis-Bakekr et al. investigated the potential to directly extract and decarboxylate dried Cannabis material with the microwave reactor [69]. Dried plant material, suspended in ethanol, was subjected to heating with stirring in a microwave reactor at 150° C. Extraction yield for the concentrated resin was in the range of 19.6–24.4% and it resulted directly proportional to the heating time and dependent on the cultivar employed in the process. Interestingly, a complete decarboxylation of the phytocannabinoids was achieved in one step following this process and no acid forms of phytocannabinoids such as Δ9-THCA and CBDA were detected in the resulting extract. Thus, MASE proves to be a worthy method for extraction and decarboxylation of phytocannabinoids due to the possibility to apply controlled temperatures and shorter extraction times. Moreover, this procedure ensures a more consistent and reproducible Cannabis extract with consequent reproducible efficacy of the therapeutic results. Kore et al. investigated and optimized the MASE process applied to C. sativa resulting in a patent application where they disclosed an improved method for extracting and decarboxylating cannabinoids from cannabis plant material, before, during, or after extraction [70]. MASE was compared to or used in tandem with other extraction strategies such as ultrasound extraction, SE, and supercritical fluid extraction.
The effect of time and temperature was investigated first. Extraction and decarboxylation of phytocannabinoid resulted in time and temperature dependence. To obtain 100% decarboxylation, the temperature must be sustained over a period without the burning of the cannabis material or the boiling/evaporation of the solvent. Because the solvent of choice is ethanol (b.p. 78°C at 1 atm), to reach a higher boiling temperature (i.e. 100–170°C) the extraction process must be carried out in a sealed vessel and under pressure. 170°C was the highest operative temperature achieved since higher temperatures (>180°C) resulted in the microwave run abortion due to the high pressure reached within the vial.
The extraction of cannabis by MASE at 100°C, 130°C, 150°C, and 170°C for 10 minutes resulted in a 23–25% yield of extract.
Interestingly, it appeared that the addition of a second step, such as SFE, after the MASE did not change the cannabinoid profile in the extract. Thus, MASE alone can perform an almost complete extraction of the cannabinoids from the cannabis plant material. Besides, the extraction and conversion of THCA and CBDA into THC and CBD was better at a temperature above 130°C, than at 100°C.
MASE was compared with the effectiveness of the commonly employed extractive procedure, namely maceration in ethanol, SE, and SFE. The conventional extractive procedures resulted in a low concentration of Δ9-THC, THCA, and CBD, whereas the addition of the microwave step resulted in a significant increase in the concentration of CBD and THC. As expected, no THCA was detected.
To sum up, a worth general procedure for the extraction and decarboxylation of CBD and THC from cannabis plant material can be thus resumed: i) the drug is weighed and macerated in a mortar; ii) the grinded drug is charged in a microwave vial along with a stir bar; iii) the drug is submerged with ethanol and the vial is sealed; iv) the vial is irradiated with MW using the following conditions [a) Pre-stirring = 30 sec; b) run time = 10 min; c) temperature = 150°C; d) absorption = Normal]; v) the suspension is filtered, and the filtrate concentrated; iv) residual plant material may be subjected (but not necessarily) to SFE.
Drinic et al. extended these studies over other polyphenols and flavonoids as well as phytocannabinoids [71]. In particular, the effects of different extraction parameters, namely ethanol concentration, extraction time and solid/liquid ratio on extraction yield, total phenol content, total flavonoid content, antioxidant activity, reductive capacity, CBD content, and THC content were investigated. For MASE, a domestic microwave oven and a round-bottom flask connected with a condenser were used. The solid drug was mixed with the solvent (30, 50, or 70% v/v ethanol) in the selected solid/liquid ratio (S/L = 5, 10, or 15). The extraction was performed irradiating at a potency of 580 W without agitation and for a total extraction time of 10, 20, or 30 min. The results of each extraction were analyzed using response surface methodology. The influence of the three process parameters was investigated on total polyphenols yield, total flavonoids yield, antioxidant activity, and reductive capacity as well. The optimal conditions for the highest CBD content and lowest THC content resulted in 47% ethanol concentration, 10 minutes of extraction time, and an S/L ratio of 5. The model was successfully validated by preparing the Cannabis extract under the calculated conditions.
Alongside the pharmaceutical uses of Cannabis extracts, hemp seeds are widely employed to produce hemp oil. However, the content of Δ9-THC in the processed hemp seed oils must be under the limits imposed by the jurisdictions of each State. Indeed, although the hemp seeds produce negligible amounts of THC, their outer surface can be contaminated with the enriched in the phytocannabinoids resin secreted by the seeds’ bracts. The presence of Δ9-THC in the final hemp seed products had led to intoxication symptoms in the final consumers. Thus, nowadays the content of THC in hemp products is tightly regulated. Yang et al. investigated the effectiveness of various chemical procedures for the extraction of Δ9-THC from three brands of hemp seeds and how the extractive methods could influence their commercialization [72]. Four extraction methods were employed, namely, i) microwave extraction, ii) sonication, iii) SE and iv) SFE. As already investigated by Kore et al., the extraction was performed in ethanol at 150°C with stirring, obtaining a complete conversion of CBDA and THCA into the corresponding neutral form. Hemp seeds were macerated in a mortar, transferred into a microwave vessel, and suspended in ethanol. The suspension was irradiated at 150°C with stirring for 20 min in a closed vessel. The yield of the resin (27–38%) achieved was comparable to the other three extraction procedures. In contrast, SE provided higher yields of Δ9-THC and CBD than the other procedures, resulting in a more robust and appropriate extraction methodology for the testing of hemp seed products. Since the same solvent was used in all the compared extractions, the differences in the number of phytocannabinoids can be attributed to the extraction methods themselves. The results suggest that prolonged heating and solvent cycling in extracting phytocannabinoids from lipid-rich materials such as hemp seeds is mandatory.
5. Conclusion
MASE has rapidly risen during the latest decades as a method for the extraction of secondary metabolites or compounds of pharmaceutical and nutraceutical interest. The use of microwave can generate peculiar, and otherwise impossible to reach extraction mechanisms. As a result, a reduction of the extraction time, improvement of the extraction efficiency, high reproducibility, and robustness of the procedure can be achieved. An increase of the sample throughput is in addition possible, thus it can be considered as the elective technique when a high number of samples have to be processed specially during the first stage of the NADD process, and for evaluating the quality of the natural matrices [9, 29]. For these reasons, MASE has proven to be effective in all aspects, including economical and practical, compared to traditional extraction techniques, especially over SE. Conversely, in MASE the development of the method must be carefully assessed, and all the variables and factors described above must be thoroughly considered to provide some extraction selectivity. Hence, DoE, response surface methodology, and other statistical approaches are of great help to quickly determine the best conditions to achieve the highest yield of the metabolite of interest from the natural source. However, in the past year, the application of MASE in scalable industrial processes has always encountered several limitation due to the presence of some technological barriers, mainly related to the design of safe instrumentation. Thanks to the technological progress witnessed in recent years, the first industrial-scale ovens finally became commercially available [73, 74].
Food, pharmaceutical, and nutraceutical industries would be benefited from this emerging technology of MASE, which is an excellent substitute for traditional methods such as SE, and other environmentally benign technologies. The promise to be the technique that can respond to the necessities in this field will make MASE the extraction method of choice for the next years.
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"MASE, plant material, natural matrices, secondary metabolite, bioactive compounds, plant productivity",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/74664.pdf",chapterXML:"https://mts.intechopen.com/source/xml/74664.xml",downloadPdfUrl:"/chapter/pdf-download/74664",previewPdfUrl:"/chapter/pdf-preview/74664",totalDownloads:23,totalViews:0,totalCrossrefCites:0,dateSubmitted:"July 24th 2020",dateReviewed:"December 9th 2020",datePrePublished:"January 20th 2021",datePublished:null,dateFinished:"December 31st 2020",readingETA:"0",abstract:"The extraction of secondary metabolites from plants, and natural sources in general, is a cornerstone in medicinal chemistry and required the development of sustainable extraction techniques. Microwave-Assisted Solid Extraction (MASE) is a promising extractive methodology being more effective than traditional extraction techniques. It offers higher and faster extraction performance ability with less solvent consumption and protection toward thermolabile constituents. For these reasons, MASE resulted in a suitable extractive methodology in all aspects, including economical and practical, compared to traditional extraction techniques, especially over Soxhlet or solid–liquid extraction. In this chapter, a brief theoretical background about the use of microwave energy for extraction has been presented for better understanding. Then, the potential of MASE for the extraction of secondary metabolites from natural resources, for evaluating the plant productivity and for evaluating the quality of the natural matrices will be reviewed. The discussion is supported by reporting recent applicative examples of MASE applied to the extraction of the most representative chemical classes of secondary metabolites, with a special focus on some drugs or compounds of pharmaceutical and nutraceutical interest.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/74664",risUrl:"/chapter/ris/74664",signatures:"Valeria Cavalloro, Emanuela Martino, Pasquale Linciano and Simona Collina",book:{id:"10089",title:"Microwave Heating",subtitle:null,fullTitle:"Microwave Heating",slug:null,publishedDate:null,bookSignature:"Prof. Gennadiy Churyumov",coverURL:"https://cdn.intechopen.com/books/images_new/10089.jpg",licenceType:"CC BY 3.0",editedByType:null,editors:[{id:"216155",title:"Prof.",name:"Gennadiy",middleName:null,surname:"Churyumov",slug:"gennadiy-churyumov",fullName:"Gennadiy Churyumov"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Microwave-Assisted Solid Extraction (MASE)",level:"1"},{id:"sec_3",title:"3. Procedure set-up",level:"1"},{id:"sec_3_2",title:"3.1 Solvent",level:"2"},{id:"sec_4_2",title:"3.2 Liquid-Solid (L/S) ratio",level:"2"},{id:"sec_5_2",title:"3.3 Time",level:"2"},{id:"sec_6_2",title:"3.4 Temperature and microwave power",level:"2"},{id:"sec_8",title:"4. MASE procedures successfully applied to secondary metabolites extraction",level:"1"},{id:"sec_8_2",title:"4.1 Evaluation of plant productivity",level:"2"},{id:"sec_9_2",title:"4.2 Extraction of secondary metabolites for drug discovery or commercial purposes",level:"2"},{id:"sec_9_3",title:"4.2.1 Alkaloids",level:"3"},{id:"sec_10_3",title:"4.2.2 Stilbene-based polyphenolic compounds",level:"3"},{id:"sec_11_3",title:"4.2.3 Terpenoids",level:"3"},{id:"sec_11_4",title:"4.2.3.1 Artemisinin and paclitaxel",level:"4"},{id:"sec_13_3",title:"4.2.4 Phytocannabinoids",level:"3"},{id:"sec_16",title:"5. 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