Patent Publication Number: US-10330591-B2

Title: Food-article analysis device

Description:
RELATED APPLICATIONS 
     This application is the U.S. National Phase under 35 U.S.C. § 371 of International Application No. PCT/JP2014/005927, filed on Nov. 26, 2014, which in turn claims the benefit of Japanese Application No. 2013-261688, filed on Dec. 18, 2013, the disclosures of which are incorporated by reference herein. 
     TECHNICAL FIELD 
     The present invention relates to a foodstuff analysis device that analyzes a measurement subject. 
     BACKGROUND ART 
     Patent document 1 describes one example of a conventional foodstuff analysis device. The foodstuff analysis device calculates the entire calories of one or more foodstuffs, which are a measurement subject, in a non-destructive manner. 
     PRIOR ART DOCUMENT 
     Patent Document 
     Patent Document 1: Japanese Laid-Open Patent Publication No. 2006-105655 
     SUMMARY OF THE INVENTION 
     Problems that are to be Solved by the Invention 
     The foodstuffs, which are the measurement subject, have different calories and components. Additionally, in each foodstuff, calorie distribution and component distribution are often uneven. Thus, for example, when the entire calories and component amounts of the measurement subject are greater than targets of the user, the user cannot easily recognize which component of the measurement subject should be targeted and how much of it should be adjusted to be proximate to the target. 
     It is an object of the present invention to provide a foodstuff analysis device that allows the user to easily recognize calorie distribution or component distribution of a measurement subject. 
     Means for Solving the Problem 
     One aspect of the present invention is a foodstuff analysis device that includes a light reception detector, a calculation unit, and a display. The light reception detector receives at least one of near-infrared light reflected from at least one measurement portion of a measurement subject and near-infrared light transmitted through at least one measurement portion of the measurement subject and generates a signal corresponding to a light amount of received light. The calculation unit calculates portion nutrition information that includes at least one of information related to calories of at least one measurement portion and information related to a component of at least one measurement portion based on the signal provided from the light reception detector and forms a distribution image by combining each of pieces of portion nutrition information corresponding to measurement portions with position information of the corresponding measurement portion. The display shows the distribution image provided from the calculation unit. 
     Effect of the Invention 
     The foodstuff analysis device allows the user to easily recognize calorie distribution or component distribution of a measurement subject. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  is a schematic diagram showing the entire structure of a first embodiment of a foodstuff analysis device. 
         FIG. 2  is a schematic diagram showing the structure of a light reception unit of the first embodiment. 
         FIG. 3  is a front view showing an example of a calorie distribution image shown on a display of the first embodiment. 
         FIG. 4  is a front view showing an example of a component distribution image shown on the display of the first embodiment. 
         FIG. 5  is a schematic diagram showing the entire structure of a second embodiment of a foodstuff analysis device. 
         FIG. 6  is a schematic diagram showing the structure of a light reception unit of the second embodiment. 
         FIG. 7A  is an operation diagram showing the procedures for measuring a measurement subject in the second embodiment,  FIG. 7B  is an operation diagram showing that rotation of the table has moved the measurement region to a region that is circumferentially adjacent to the measurement region of  FIG. 7A , and  FIG. 7C  is an operation diagram showing that movement of the measurement unit has moved the measurement region to a region that is radially adjacent to the measurement region of  FIG. 7A . 
         FIG. 8  is a front view showing an example of a calorie distribution image shown on a display of the second embodiment. 
         FIG. 9A  is a graph showing one example of the relationship between the measurement region and portion nutrition information in the first cycle of the measurement procedures of a third embodiment, and  FIG. 9B  is a graph showing one example of the relationship between the measurement region and portion nutrition information in the second cycle. 
         FIG. 10  is a diagram showing the structure of a light reception unit of a fourth embodiment. 
         FIG. 11A  is a front view showing an example of a calorie distribution image,  FIG. 11B  is a front view showing an example of a picture image, and  FIG. 11C  is a front view showing a superimposed image, each of which is shown on a display of the fourth embodiment. 
         FIG. 12  is a front view showing an example of presentation shown on a display of a fifth embodiment. 
         FIG. 13  is a front view showing an example of contents shown on a display of the fifth embodiment when a selected range is input. 
         FIG. 14A  is a front view showing an example of presentation when a selected range is input,  FIG. 14B  is a front view showing an example of a foodstuff candidate, and  FIG. 14C  is a front view showing an example of contents when the user selects a foodstuff candidate, each of which is shown on a display of a sixth embodiment. 
         FIG. 15  is a flowchart showing the procedures of a selected range determination process that is executed by a calculation unit of a seventh embodiment. 
         FIGS. 16A-16C  are diagrams showing the procedures of a region determination process of the selected range determination process of the seventh embodiment. 
         FIG. 17A  is a perspective view showing a support base of a modified example of the second embodiment, and  FIG. 17B  is a cross-sectional view taken along line D 17 -D 17  in  FIG. 17A . 
         FIG. 18  is a diagram showing the structure of a modified example of the light reception unit of each embodiment. 
         FIG. 19  is a schematic diagram showing the entire structure of a modified example of the foodstuff analysis device of each embodiment. 
         FIG. 20  is a front view showing a modified example of presentation of the display of each embodiment. 
     
    
    
     EMBODIMENTS OF THE INVENTION 
     First Embodiment 
     The structure of a foodstuff analysis device  1  will now be described with reference to  FIG. 1 . 
     The foodstuff analysis device  1  includes a case  11 , a table  12 , a measurement unit  20 , a calculation unit  30 , an operation unit  40 , and a display  50 . 
     The table  12  and the measurement unit  20  are located in the case  11 . A measurement subject S is placed on the table  12 . The foodstuff analysis device  1  is capable of analyzing one or more foodstuffs as the measurement subject S. The foodstuff analysis device  1  is also capable of analyzing a foodstuff located inside a container as the measurement subject S. 
     The measurement unit  20  includes a light source  21 , which emits light to the measurement subject S placed on the table  12 , and a light reception unit  22 , which receives light reflected from the measurement subject. S. 
     The light source  21  is located at a position where light can be emitted to the entire measurement subject S. The light emitted from the light source  21  includes at least some wavelengths of near-infrared light having wavelengths of 700 nm to 2500 nm. Examples of the light source  21  include a halogen lamp, an LED, a laser, and the like. 
     The structure of the light reception unit  22  will now be described with reference to  FIG. 2 . 
     The light reception unit  22  includes a light collection portion  23 , a particular wavelength reflection unit  24 , and a light reception sensor  25 . The light reception unit  22  is located at a position where light reflected from the measurement subject S can be received. Shorter distances are preferred between the light reception unit.  22  and the measurement subject S. 
     The light collection portion  23  includes a condenser lens  23 A and a reflector  23 B. 
     The particular wavelength reflection unit  24  includes a first reflector  24 A, a second reflector  24 B, and a third reflector  24 C. The reflectors  24 A to  24 C are each configured as a wavelength selection filter that reflects light having particular wavelengths and transmits light having other wavelengths. The first reflector  24 A reflects light having first particular wavelengths and transmits light having other wavelengths. The second reflector  24 B reflects light having second particular wavelengths and transmits light having other wavelengths. The third reflector  24 C reflects light having third particular wavelengths and transmits light having other wavelengths. 
     The first to third particular wavelengths are determined, for example, based on spectrum information of foodstuffs having known components through experiments or the like. More specifically, based on the relationship between a particular component ratio and absorbance foodstuffs, wavelengths that well reflect the particular component ratio of the foodstuffs are determined to be the particular wavelengths. 
     Wavelengths that well correlate with protein, which is a component, are used as the first particular wavelengths. The first particular wavelengths may include, for example, a wavelength of 910 nm and proximate wavelengths. Wavelengths that well correlate with fat, which is a component, are used as the second particular wavelengths. The second particular wavelengths may include, for example, a wavelength of 930 nm and proximate wavelengths. Wavelengths that well correlate with carbohydrate, which is a component, are used as the third particular wavelengths. The third particular wavelengths may include, for example, a wavelength of 980 nm and proximate wavelengths. 
     The light reception sensor  25  includes light reception elements  26 , which are arranged in a lattice. The light reception sensor  25  is configured as an image sensor. The light reception elements  26  may include elements capable of converting a light amount of light to an electric signal, for example, using silicon and indium gallium arsenide, which are widely sensitive to a near-infrared region. The light reception elements  26  correspond to a “light reception detector.” 
     The electric configuration of the foodstuff analysis device  1  will now be described with reference to  FIG. 1 . 
     The operation unit  40  includes a measuring button  41  and a switching button  42 . When the measuring button  41  is pressed, the operation unit  40  provides the calculation unit  30  with a signal indicating that the measuring button  41  is pressed. When the switching button  42  is pressed, the operation unit  40  provides the calculation unit  30  with a signal indicating that the switching button  42  is pressed. 
     When receiving the signal indicating that the measuring button  41  is pressed, the calculation unit  30  controls the measurement unit  20  to start an analysis of the measurement subject S. When receiving the signal indicating that the switching button  42  is pressed, the calculation unit  30  changes contents shown on the display  50 . 
     The light paths and the operation of the measurement unit  20  when analyzing the measurement subject will now be described with reference to  FIG. 2 . 
     The calculation unit.  30  has the light source  21  (refer to  FIG. 1 ) instantaneously emit light including near-infrared light to the measurement subject S. The light diffused and reflected from the measurement subject S is collected by the condenser lens  23 A and received by the reflector  23 B as parallel light. 
     The reflector  23 B reflects the received light toward the particular wavelength reflection unit  24 . The particular wavelength reflection unit  24  receives the light. 
     Of the light received by the particular wavelength reflection unit  24 , the first reflector  24 A reflects light having the first particular wavelengths toward a first light reception sensor  25 A and transmits light having other wavelengths. Thus, the light received by the particular wavelength reflection unit  24  and having wavelengths other than the first particular wavelengths is received by the second reflector  24 B. 
     Of the light received by the second reflector  24 B, the second reflector  24 B reflects light having the second particular wavelengths toward a second light reception sensor  25 B and transmits light having other wavelengths. Thus, the light received by the second reflector  24 B and having wavelengths other than the second particular wavelengths is received by the third reflector  24 C. 
     Of the light received by the third reflector  24 C, the third reflector  24 C reflects light having the third particular wavelengths toward a third light reception sensor  25 C and transmits light having other wavelengths. 
     Light beams included in the light directed toward each of the light reception sensors  25 A to  25 C maintain the position relationship of light beams that were included in light immediately after being diffused and reflected from the measurement subject S. Thus, an output of each light reception element  26  reflects protein, fat, and carbohydrate included in a portion of the measurement subject. More specifically, each light reception element  26  provides the calculation unit  30  (refer to  FIG. 1 ) with a signal that reflects protein, fat, and carbohydrate included in a portion of the measurement subject S (hereafter, referred to as “measurement portion”) that is the originating point of light beams received by the light reception element  26 . 
     The calculation unit  30  calculates the ratio and amount of protein based on outputs of the light reception elements  26  of the first light reception sensor  25 A and a relational expression stored in advance. The calculation unit  30  calculates the ratio and amount of fat based on outputs of the light reception elements  26  of the second light reception sensor  25 B and a relational expression stored in advance. The calculation unit  30  calculates the ratio and amount of carbohydrate based on outputs of the light reception elements  26  of the third light reception sensor  25 C and a relational expression stored in advance. Each relational expression may be determined in advance, for example, based on the relationship between the absorbance (light amount) of each wavelength of foodstuffs having known components and the ratio of each component using a PLS process. 
     Calories of a foodstuff are obtained by multiplying the protein amount, the fat amount, and the carbohydrate amount by the corresponding calorie coefficient and adding the multiplications. Thus, the calculation unit  30  calculates calories of each measurement portion based on the protein amount, the fat amount, and the carbohydrate amount. In each measurement portion, the protein ratio, the protein amount, the fat ratio, the fat amount, the carbohydrate ratio, the carbohydrate amount, and the calories correspond to “portion nutrition information.” 
     The positions of the light, reception elements  26  in the light reception sensor  25  correspond to the positions of the measurement portions. The calculation unit  30  forms distribution image information including the positions of the light reception elements  26  and pieces of portion nutrition information associated with the corresponding light reception elements  26 . 
     The calculation unit  30  forms pieces of distribution image information related to calories and components. The calculation unit  30  provides the distribution image information to the display  50 . The display  50  shows a distribution image P indicating the distribution image information. The calculation unit  30  also selectively provides distribution image information related to calories and distribution image information related to components to the display  50  based on an output of the operation unit  40 . 
     The distribution image P will now be described with reference to  FIGS. 3 and 4 . In  FIGS. 3 and 4 , the darkness of each presentation color is indicated by the concentration of dots in a dot hatching. In  FIG. 4 , the differences of the presentation colors are indicated by line hatchings and directions of lines. 
     As shown in  FIG. 3 , a calorie distribution image P is divided into portion regions PX. The distribution image P is divided into, for example, a lattice of the portion regions PX. One portion region PX indicates one piece of portion nutrition information. The position relationship among the portion regions PX conforms to the position relationship among the measurement portions. The calculation unit  30  shows the portion nutrition information obtained from each measurement portion on the corresponding portion region PX of the display  50 . 
     The calorie distribution image P visually presents the amount of calories of each portion region PX in correspondence with the darkness of the presentation color of the portion region PX. 
     As shown in  FIG. 4 , a component distribution image P visually presents a component having the largest ratio among protein, fat, and carbohydrate in each portion region PX in a different presentation color. Additionally, the darkness of the presentation color of each portion region PX corresponds to the ratio of the component. This visually presents the ratio of the component in each portion region PX. 
     The operation of the foodstuff analysis device  1  will now be described. 
     It is assumed that the measurement subject S is analyzed by a hypothetical foodstuff analysis device that indicates the entire calories and component amounts of the measurement subject S in numeral values. In this case, when the calories or component amounts of the measurement subject S are greater than desired calories or components, the user needs to remove a portion of the measurement subject S and analyze again using the hypothetical foodstuff analysis device. This increases the burden to the user. 
     The foodstuff analysis device  1  shows the distribution image P on the display  50 . Thus, the user easily recognizes the calories and component amounts of the measurement subject S. When the calories or component amounts of the measurement subject S are greater than the desired calories or component amounts, the user easily recognizes which portion of the measurement subject S and how much of it should be removed to obtain the target calories or component amounts. This increases the convenience for the user. Additionally, the target calories or component amounts may be obtained in a short time. This limits changes in taste, form, or the like of the foodstuff, for example, resulting from a temperature change that occurs when the adjustment of the measurement subject S takes time. 
     In a hypothetical foodstuff analysis device indicating the entire calories and component amounts of the measurement subject S in numeral values, for example, when a number of foodstuffs are analyzed, the user repeats the analysis for each foodstuff. This increases the burden to the user. 
     The foodstuff analysis device  1  shows the distribution image P on the display  50 . Thus, the calories and component amounts of each foodstuff may be recognized by a single measurement. This increases the convenience for the user. 
     The foodstuff analysis device  1  of the present embodiment has the advantages described below. 
     (1) The foodstuff analysis device  1  shows the distribution image P on the display  50 . Thus, the user easily recognizes the distribution of the portion nutrition information that includes the calories and component amounts of the measurement subject S. 
     (2) The foodstuff analysis device  1  includes a plurality of light reception elements  26 . The calculation unit  30  calculates one piece of the portion nutrition information based on the output of one light reception element  26 . This allows the calculation unit  30  to calculate the entire portion nutrition information of the measurement subject S in a short time as compared to a configuration in which the measurement portion is sequentially moved. 
     (3) The foodstuff analysis device  1  instantaneously emits light from the light source  21 . This limits the measurement subject S from changing, for example, being warmed or denatured by the light. 
     (4) The foodstuff analysis device  1  analyzes the measurement subject S in a non-destructive manner. Thus, the measurement subject S may be used after the measurement. 
     (5) The foodstuff analysis device  1  analyzes the measurement subject S using near-infrared light. Thus, the foodstuff analysis device  1  may perform the analysis without using equipment such as a centrifuge, a reagent, and the like that are used when the measurement subject S is crushed and chemically analyzed. 
     Second Embodiment 
     A second embodiment of the foodstuff analysis device differs from the first embodiment of the foodstuff analysis device  1  in that a number of measurement portions are sequentially measured. The second embodiment and the first embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the second embodiment, the same reference characters are given to those components that are the same as the corresponding components of the foodstuff analysis device  1  of the first embodiment. 
     The structure of the foodstuff analysis device  1  will now be described with reference to  FIGS. 5 and 6 . 
     As shown in  FIG. 5 , the foodstuff analysis device  1  includes the case  11 , the table  12 , a measurement unit  200 , the calculation unit  30 , the operation unit  40 , the display  50 , a table driver  60 , a measurement unit driver  70 , and a distance detector  80 . 
     The table driver  60  supports the table  12  from below. The table driver  60  includes a motor  61  and a rotation shaft  62 . The rotation shaft  62  connects the center of the table  12  and the motor  61 . When the motor  61  is driven, the table  12  is rotated about the rotation shaft  62  (hereafter, referred to as circumferentially). 
     The measurement unit driver  70  includes a motor  71  and a slide mechanism  72 . The slide mechanism  72  includes a pinion gear  73  and a rack  74 . The rack  74  extends in a radial direction of the table  12  above the table  12 . The light source  21 , a light reception unit  220 , and the distance detector  80  are suspended from the rack  74 . The pinion gear is connected to the motor  71  and meshed with teeth of the rack  74 . 
     When the driving of the motor  71  rotates the pinion gear  73 , the rack  74  is moved in the radial direction of the table  12  above the table  12 . Thus, in accordance with the movement of the rack  74 , the light source  21  of the measurement unit  200  and the light reception unit  220  of the measurement unit  200  move in the radial direction of the table  12  above the table  12 . 
     The distance detector  80  is located close to the light reception unit  220 . The distance detector  80  provides the calculation unit  30  with a signal corresponding to the distance to the measurement subject S. The distance detector  30  may include a distance sensor that uses light, an ultrasonic wave, or the like. Alternatively, the distance detector  80  may include a detection device that detects a focal length using a lens or the like. 
     The structure of the light reception unit  220  will now be described with reference to  FIG. 6 . 
     The light reception unit  220  includes a reflector  230 , the particular wavelength reflection unit  24 , and light reception sensors  250 . Each light reception sensor  250  includes one light reception element  26 . 
     The operation of the foodstuff analysis device  1  when analyzing the measurement subject S will now be described with reference to  FIGS. 5 and 6 . 
     As shown in  FIG. 5 , the calculation unit  30  has the light source  21  instantaneously emit light including near infrared light to the measurement subject S. As shown in  FIG. 6 , light diffused and reflected from the measurement subject S is received by the reflector  230 . 
     The reflector  230  reflects the received light toward the particular wavelength reflection unit  24 . The particular wavelength reflection unit  24  receives the light. 
     Of the light, received by the particular wavelength reflection unit  24 , the first reflector  24 A reflects light having the first particular wavelengths toward a first light reception sensor  250 A and transmits light having other wavelengths to the second reflector  24 B. 
     Of the light received by the second reflector  24 B, the second reflector  24 B reflects light having the second particular wavelengths toward a second light reception sensor  250 B and transmits light having other wavelengths to the third reflector  24 C. 
     Of the light received by the third reflector  24 C, the third reflector  24 C reflects light having the third particular wavelengths toward a third light reception sensor  250 C and transmits light having other wavelengths. 
     Light directed toward each of the light reception sensors  250 A to  250 C is the light that has been reflected from a portion of the measurement subject S (measurement portion) opposed to the reflector  230 . Thus, outputs of the light reception elements  26  reflect protein, fat, and carbohydrate of the measurement portion. More specifically, each light reception element  26  provides the calculation unit  30  with a signal that reflects protein, fat, or carbohydrate of the measurement portion. The distance detector  80  provides the calculation unit  30  with a signal corresponding to the distance to the measurement portion. 
     The calculation unit  30  calculates the ratio and amount of protein based on the output of the light reception element  26  of the first light reception sensor  250 A and a relational expression stored in advance. The calculation unit  30  calculates the ratio and amount of fat based on the output of the light reception element  26  of the second light reception sensor  250 B and a relational expression stored in advance. The calculation unit  30  calculates the ratio and amount of carbohydrate based on the output of the light reception element  26  of the third light reception sensor  250 C and a relational expression stored in advance. 
     The calculation unit  30  also calculates the thickness of the measurement portion based on the output of the distance detector  80  and corrects the calculated protein amount, fat amount, and carbohydrate amount. More specifically, the calculation unit  30  increases correction amounts of protein, fat, and carbohydrate when the measurement portion is thicker and decreases correction amounts of protein, fat, and carbohydrate when the measurement portion is thinner. 
     When the measuring button  41  is pressed, the calculation unit  30  controls the table driver  60  and the measurement unit driver  70  to sequentially change the measurement portion in accordance with the following procedures. 
     (procedure  11 ) As shown in  FIG. 7A , the calculation unit  30  sets the measurement portion to a measurement region A 11  and moves the reflector  230  to a position above the measurement region A 11 . The calculation unit  30  calculates the portion nutrition information of the measurement region A 11 . 
     (procedure  12 ) As shown in  FIG. 7B , the calculation unit  30  has the table driver  60  rotate the table  12  so that the measurement portion is changed from the measurement region A 11  to a measurement region A 12  that is circumferentially adjacent to the measurement region A 11 . The calculation unit  30  calculates the portion nutrition information of the measurement region A 12 . 
     (procedure  13 ) The calculation unit  30  calculates the portion nutrition information of each of measurement regions A 11  to A 1   n  as rotating the table  12  by a predetermined amount at a time. More specifically, the calculation unit  30  calculates the portion nutrition information along the entire circumference of the table  12 . 
     (procedure  14 ) As shown in  FIG. 7C , the calculation unit  30  has the measurement unit driver  70  move the rack  74 . The calculation unit  30  changes the measurement portion from the measurement region A 11  to a measurement region A 21  that is adjacent to the measurement region A 11  in the radial direction of the table  12 . The calculation unit  30  calculates the portion nutrition information of the measurement region A 21 . 
     The calculation unit  30  repeats (procedure  11 ) to (procedure  14 ) to calculate the portion nutrition information over the entire table  12 . The calculation unit  30  forms distribution image information by combining a measurement portion and the portion nutrition information that has been calculated based on the outputs of the light reception elements  26  corresponding to the measurement portion. More specifically, the calculation unit  30  selects a measurement portion from the rotation angle of the table  12  and the radial position information of the measurement unit  200  and combines the selected measurement portion and the portion nutrition information analyzed in the measurement portion. When pieces of portion nutrition information are calculated over the entire table  12 , the calculation unit  30  forms the distribution image information by respectively combining a number of measurement portions and the pieces of portion nutrition information analyzed in the measurement portions. The calculation unit  30  provides the distribution image information to the display  50 . The display  50  shows a distribution image P indicating the distribution image information. 
     As shown in  FIG. 8 , the distribution image P is divided into portion regions PX corresponding to the movement pattern of the measurement unit  200  relative to the table  12 . One portion region PX indicates one piece of portion nutrition information. 
     The second embodiment of the foodstuff analysis device  1  has the advantages described below in addition to (1) and (3) to (5) of the first embodiment. 
     (6) The foodstuff analysis device  1  relatively moves the measurement unit  200  and the measurement subject S. This reduces the number of light reception elements  26 . 
     (7) The foodstuff analysis device  1  includes the distance detector  80 . Thus, the foodstuff analysis device  1  is capable of detecting the thickness of the measurement portion of the measurement subject S. This increases the accuracy for calculating the protein amount, the fat amount, and the carbohydrate amount. 
     Third Embodiment 
     A third embodiment of the foodstuff analysis device  1  differs from the second embodiment of the foodstuff analysis device  1  in that the foodstuff analysis device  1  changes the number of measurement portions based on outputs of the light reception elements  26 . The third embodiment and the second embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the third embodiment, the same reference characters are given to those components that, are the same as the corresponding components of the foodstuff analysis device  1  of the second embodiment. 
     The procedures for measuring the measurement portion will now be described with reference to  FIGS. 7 to 9 . 
     The calculation unit  30  controls the table driver  60  and the measurement unit driver  70  to sequentially change the measurement portions in accordance with the following procedures. 
     (procedure  21 ) As shown in  FIG. 7A , the calculation unit  30  sets the measurement portion to the measurement region A 11  and moves the reflector  230  to a position above the measurement region A 11 . The calculation unit  30  calculates the portion nutrition information of the measurement region A 11 . 
     (procedure  22 ) The calculation unit  30  has the table driver  60  rotate the table  12  and changes the measurement portion from the measurement region A 11  to a measurement region A 13 . The measurement region A 13  and the measurement region A 11  are located at circumferentially opposite sides of the measurement region A 12 . 
     (procedure  23 ) As shown in  FIG. 9A , the calculation unit  30  calculates portion nutrition information of every other measurement regions A 11  to A 1   n  along the entire circumference of the table  12  as rotating the table  12  by a predetermined amount at a time. 
     (procedure  24 ) The calculation unit  30  determines whether or not all pieces of the portion nutrition information of each of the measurement regions A 11  to A 1   n  are greater than a predetermined threshold value. More specifically, the calculation unit  30  determines whether or not the calories, the protein amount, the fat amount, and the carbohydrate amount are all greater than the predetermined threshold value. 
     (procedure  25 ) As shown in  FIG. 92 , the calculation unit  30  measures a measurement region that is adjacent to one of the measurement regions A 11  to A 1   n  that has been determined to have at least one piece of the portion nutrition information being greater than the threshold value. 
     (procedure  26 ) As shown in  FIG. 70 , the calculation unit  30  has the measurement unit driver  70  move the rack  74  and changes the measurement portion from the measurement region A 11  to the measurement region A 21 , which is adjacent to the measurement region  11 A in the radial direction of the table  12 . 
     The calculation unit  30  also repeats (procedure  21 ) to (procedure  26 ) in the measurement regions A 21  to A 2   n . The calculation unit  30  calculates the portion nutrition information in A 11  to Ann. The calculation unit  30  forms distribution image information by combining a measurement portion and the portion nutrition information that has been calculated based on outputs of the light reception elements  26  corresponding to the measurement portion. 
     The third embodiment of the foodstuff analysis device  1  has the advantage described below in addition to (1) and (3) to (7) of the first and second embodiments. 
     (8) The foodstuff analysis device  1  may reduce the number of measurement portions in accordance with the threshold value. This shortens the overall analysis time of the measurement subject S as compared to a configuration in which all of the measurement regions A 11  to Ann are measured. 
     Fourth Embodiment 
     A fourth embodiment of the foodstuff analysis device  1  differs from the first embodiment of the foodstuff analysis device  1  in that the measurement unit  20  includes an image obtaining unit  27 . The fourth embodiment and the first embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the fourth embodiment, the same reference characters are given to those components that are the same as the corresponding components of the foodstuff analysis device  1  of the first embodiment. 
     As shown in  FIG. 10 , the light reception unit  22  includes the image obtaining unit  27 , which is located at a downstream side of the third reflector  24 C. 
     Of light received by the third reflector  24 C, the third reflector  24 C reflects light having the third particular wavelengths toward the third light reception sensor  25 C and transmits light having other wavelengths to the image obtaining unit  27 . 
     In the image obtaining unit  27 , a filter portion (not shown) in which red, green, and blue vapor deposition filters arranged in a lattice is overlapped with a lattice of the light reception elements  26 . More specifically, the image obtaining unit  27  captures an image of the measurement subject S using visible light. The calculation unit  30  forms image information of the captured measurement subject S. 
       FIG. 11A  shows a distribution image P.  FIG. 11B  shows a picture image PP that is displayed based on the image information. As shown in  FIG. 11C , the calculation unit  30  displays a superimposed image PS in which the distribution image P of  FIG. 11A  is superimposed on the picture image PP of  FIG. 11B . When the switching button  42  is pressed, the calculation unit  30  switches the image on the display  50  among the distribution image P, the picture image PP, and the superimposed image PS. 
     The fourth embodiment of the foodstuff analysis device  1  has the advantages described below in addition to (1) and (3) to (7) of the first to third embodiments. 
     (9) The display  50  shows the superimposed image PS including the picture image PP. Thus, the visual information of the measurement subject S, which is recognized by the user, is overlapped with the distribution image P. This facilitates the intuitive recognition of the distribution of the portion nutrition information. 
     (10) In the superimposed image PS, the picture image PP reproducing visible light and the distribution image P may not be easily distinguished. This may hinder the recognition of the distribution of the portion nutrition information. The foodstuff analysis device  1  is capable of switching between the superimposed image PS and the distribution image P. This limits situations in which the portion nutrition information is not easily recognized. 
     Fifth Embodiment 
     A fifth embodiment of the foodstuff analysis device  1  differs from the fourth embodiment of the foodstuff analysis device  1  in that a display  150  is configured as a touch panel and allows a portion of the distribution image P to be selected. The fifth embodiment and the fourth embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the fifth embodiment, the same reference characters are given to those components that are the same as the corresponding components of the foodstuff analysis device  1  of the fourth embodiment. 
     The structure of the display  150  will now be described with reference to  FIG. 12 . 
     The display  150  is configured as a touch panel. The display  150  transmits information that is input on the display  150  to the calculation unit  30 . 
     The user may input gender, age, weight, and an activity level from the display  150 . The activity level refers to the intensity of average daily life activity and includes a number of stages (e.g., three stages) corresponding to the intensity. Here, gender, age, weight, and the activity level correspond to “designated information.” The display  150  corresponds to an “information input unit” and a “selection unit.” 
     The calculation unit  30  calculates a target value of intake calories per day (hereafter, referred to as “target calories”) and a target value of intake component amounts per meal (hereafter, referred to as “target component amounts”) for the user based on gender, age, weight, and the activity level. The target calories conform to basal metabolism calories of the user. The target component amounts are calculated for each component and include a target protein amount, a target fat amount, and a target carbohydrate amount. 
     As shown in  FIG. 12 , the calculation unit  30  shows the calories of the measurement subject S and the target calories on a calorie display  151  of the display  150  together with the distribution image P. The calorie display  151  shows the ratio of the calories of the measurement subject S to the target calories by a chart and a percentage numeral value. 
     The calculation unit  30  shows the component amounts of the measurement subject S and the target component amounts on a component display  152  of the display  150 . The component display  152  shows the relationship between the target component amounts and the component amounts of the measurement subject S by a chart. The component display  152  shows, for example, the target protein amount, the target fat amount, and the target carbohydrate amount using a triangular target diagram  152 A. The component display  152  also shows a triangular measurement diagram  152 B, which indicates the protein amount, the fat amount, and the carbohydrate amount of the measurement subject S. The measurement diagram  152 B is overlapped with the target diagram  152 A. 
     In the example shown in  FIG. 12 , a circle chart and numeral values indicate that the calories of the measurement subject S (900 kcal) is 60% of the target calories (1600 kcal). Additionally, it is indicated that the protein amount of the measurement subject S is slightly greater than the target protein amount, that the fat amount of the measurement subject S is significantly greater than the target fat amount, and that the carbohydrate amount of the measurement subject S is slightly less than the target carbohydrate amount. 
     The user can select a portion of the distribution image P (hereafter, referred to as “selected range RS”) by touching and enclosing the portion of the distribution image P shown on the display  150  using a finger. 
     As shown in  FIG. 13 , the user selects a portion of the distribution image P as the selected range RS. The user selects, for example, a portion of the distribution image P including much fat distribution as the selected range RS. 
     When receiving information in which the selected range RS is set in the distribution image P, the calculation unit  30  calculates calories and a sum of each component amount of the measurement subject. S excluding the selected range RS. The calculation unit  30  calculates a sum of calories and a sum of each component amount of portion regions PX that are not included in the selected range RS. The sum of calories and the sum of each component amount that are not included in the selected range RS correspond to “reference information.” 
     The calculation unit  30  shows the calculated sums of calories and each component amount of portions that are not included in the selected range RS on the display  150 . 
     In the example shown in  FIG. 13 , a circle chart and numeral values indicate that the calories of the measurement subject S excluding the selected range RS (700 kcal) is decreased to 40% of the target calories (1600 kcal). Additionally, it is indicated that when the selected range RS is excluded, the protein amount of the measurement subject. S generally conforms to the target protein amount, the fat amount of the measurement subject S generally conforms to the target fat amount, and the carbohydrate amount of the measurement subject S is slightly less than the target carbohydrate amount. By viewing the display  150 , the user can recognize the intake calories and the intake components when the selected range RS is excluded from the measurement subject. 
     The fifth embodiment of the foodstuff analysis device  1  has the advantage described below in addition to (1), (3) to (7), (9), and (10) of the first to fourth embodiments. 
     (11) The foodstuff analysis device  1  shows the sum of calories and the sum of each component amount of portions that are not included in the selected range RS on the display  150 . Thus, the user may easily simulate which portion of the measurement subject S and how much of it should be removed to obtain the target calories and the target component amounts. This increases the convenience for the user. 
     Sixth Embodiment 
     A sixth embodiment of the foodstuff analysis device  1  differs from the fifth embodiment of the foodstuff analysis device  1  in that foodstuff candidates S 1  to Cu that may be substituted by the selected range RS are presented. The sixth embodiment and the fifth embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the sixth embodiment, the same reference characters are given to those components that are the same as the corresponding components of the foodstuff analysis device  1  of the fifth embodiment. 
     The calculation unit  30  stores pieces of portion nutrition information of the measurement subject S that have been analyzed in the past in a memory (not shown). 
     When at least one of the component amounts of the measurement subject S is greater than the target component amount, the user operates the display  150  and selects the selected range RS. 
     As shown in  FIG. 14A , when the selected range RS is selected, the calculation unit  30  calculates each component amount of the measurement subject S excluding the selected range RS. The calculation unit  30  also shows, on the display  150 , numeral values and a bar chart indicating each component amount of the measurement subject S excluding the selected range RS. 
     The calculation unit  30  calculates the difference between the component amounts that is obtained when the selected range RS is excluded and the target component amounts. From information, of the measurement subjects S that have been analyzed in the past and stored in the memory, the calculation unit  30  selects information of one or more measurement subjects S that are proximate to the difference between the component amounts of the present measurement subject. S and the target component amounts as foodstuff candidates C 1  to Cn. The foodstuff candidates C 1  to Cn correspond to “substitute presentation information.” 
     The calculation unit  30  shows the foodstuff candidates C 1  to Cn on the display  150 . In the example shown in  FIG. 14B , the calculation unit  30  shows the foodstuff candidate C 1  and the foodstuff candidate C 2  on the display  150 . 
     For example, as shown in  FIG. 14C , when the user operates the display  150  and selects the foodstuff candidate C 1 , the calculation unit  30  shows a distribution image P in which the selected range RS is replaced by the foodstuff candidate C 1  on the display  150 . The calculation unit  30  also adds the component amounts of the foodstuff candidate C 1  to each component amount of the measurement subject S excluding the selected range RS and shows the added numeral values using the bar chart on the display  150 . 
     The sixth embodiment of the foodstuff analysis device  1  has the advantage described below in addition to (1), (3) to (7), and (9) to (11) of the first to fifth embodiments. 
     (12) The foodstuff analysis device  1  shows the foodstuff candidates C 1  to Cn corresponding to the selected range RS of the measurement subject S or a foodstuff that is selected when the measurement subject S includes a number of foodstuffs. This easily obtains the target component amounts. Thus, the foodstuff analysis device  1  may facilitate the planning of a meal menu or the like. 
     Seventh Embodiment 
     A seventh embodiment of the foodstuff analysis device  1  differs from the fifth embodiment of the foodstuff analysis device  1  in that the calculation unit  30  executes a selected range determination process in which the selected range RS is calculated. The seventh embodiment and the fifth embodiment have the same structure in other components. In the description of the foodstuff analysis device  1  of the seventh embodiment, the same reference characters are given to those components that are the same as the corresponding components of the foodstuff analysis device  1  of the fifth embodiment. 
     The selected range determination process will now be described with reference to  FIG. 15 . The process is started when the measuring button  41  is pressed. 
     In step S 11 , the calculation unit  30  analyzes the measurement subject S and calculates the entire calories (hereafter, referred to as “total calories”) of the measurement subject S. In step S 12 , the calculation unit  30  shows the distribution image P on the display  150 . The total calories correspond to “total nutrition information.” 
     In step S 13 , the calculation unit  30  compares the total calories and the target calories. 
     In step S 14 , the calculation unit  30  determines whether or not the total calories conform to the target calories. More specifically, the calculation unit  30  determines whether or not the total calories are the same as or sufficiently close to the target calories. When determined that the total calories conform to the target calories, the calculation unit  30  terminates the present process. 
     When determined that the total calories do not conform to the target calories, in step S 15 , the calculation unit  30  determines a threshold value for calories of each piece of portion nutrition information (hereafter, referred to as “portion calories”). 
     In step S 16 , as shown in  FIG. 16A , the calculation unit  30  selects portion regions PX having the portion calories that are higher than the threshold value. 
     In step S 17 , the calculation unit  30  calculates a sum of the portion calories of the selected portion regions PS and subtracts the sum from the total calories. In step S 18 , the calculation unit  30  shows, on the display  150 , an image in which the portion regions PX selected in step S 16  are shown on a superimposed image PS. The process for showing such portion regions PX is configured to enclose the corresponding portion regions PX with a line, flash the corresponding portion regions PX, or change the presentation color of the corresponding portion regions PX on the superimposed image PS. The image in which the selected portion regions PX are shown on the superimposed image PS corresponds to “suggestion information.” 
     In step S 13 , the calculation unit  30  again determines whether or not the total calories that have been reduced in step S 17  conform to the target calories. 
     When determined that the total calories do not conform to the target calories, the calculation unit  30  again repeats the processes of step S 15  to step S 18 . In the process of step S 15  from the second time and on, the calculation unit  30  sets the threshold value to be less than the previous threshold value. In the process of step S 16  from the second time and on, as shown in  FIGS. 16B and 16C , the calculation unit  30  selects portion regions PX having a value greater than the threshold value from portion regions PX that are adjacent to the selected portion regions PX. 
     The seventh embodiment of the foodstuff analysis device  1  has the advantages described below in addition to (1), (3) to (7), and (9) to (11) of the first to sixth embodiments. 
     (13) The foodstuff analysis device  1  shows the suggestion information, which is for conforming the measurement subject S to the target calories. This may be convenient for the user. 
     (14) In step S 13 , the calculation unit  30  selects two adjacent portion regions PX. This decreases the potential of including small regions, which are difficult to be removed. 
     Other Embodiments 
     The present foodstuff analysis device includes embodiments other than the first to seventh embodiments. Other embodiments of the present foodstuff analysis device include modified examples of the first to seventh embodiments described below. 
     In the light reception sensors  25 A to  25 C of the first embodiment, the circular arrangement of the light reception elements  26  may be changed to a concentric arrangement of the light reception elements  26 . Alternatively, the light reception elements  26  may be linearly arranged. When such light reception elements  26  are moved in a direction orthogonal to the linear direction of the light reception elements  26 , the light reception elements  26  may be laid out in a pseudo-two dimensional arrangement. In a structure in which the light reception elements  26  are linearly arranged, the irradiation time of the light source  21  is changed in accordance with the movement time of the light reception elements  26 . 
     The calculation unit  30  of the first, embodiment calculates portion nutrition information of one portion region PX based on an output of one light reception element  26 . Instead, portion nutrition information of one portion region PX may be calculated based on outputs of adjacent light reception elements  26 . In this modified example, the calculation unit  30  may average outputs of adjacent light reception elements  26  and calculate the portion nutrition information of one portion region PX. Alternatively, the portion nutrition information of one portion region PX may be calculated based on the sum of the outputs of the adjacent light reception elements  26 . In this case, the number of portion regions PX is reduced. This facilitates the recognition of the entire calories and general component distribution of the measurement subject S. 
     The distance detector  80  of the second embodiment may be located beside the measurement subject S. In this case, the distance detector  80  is moved in a height-wise direction. The distance detector  80  outputs a signal corresponding to the distance to the measurement subject S in each height-wise position to the calculation unit  30 . The calculation unit.  30  calculates a general contour of the measurement subject S based on the outputs of the distance detector  80  and estimates the thickness of each measurement portion of the measurement subject S. 
     The measurement unit driver  70  of the second embodiment moves the light reception unit  220  and the light source  21  relative to the table  12 . Instead, while the light source  21  is fixed to the case  11 , only the light reception unit  220  may be moved. In this case, the measurement portion may be changed, for example, by changing a light path. More specifically, the measurement unit  200  includes a reflector between the light source  21  and the measurement subject S. Movement and angle change of the reflector relative to the table  12  changes the measurement portion of the measurement subject S that is irradiated with light from the light source  21 . The light reception unit  220  sequentially moves to a position where light reflected from the measurement portion is receivable. 
     The structure of the foodstuff analysis device  1  of the second embodiment may be changed so that the table driver  60  radially moves the table  12  and the measurement unit driver  70  circumferentially rotates the light reception unit  220 . Further, one of the table  12  and the light reception unit  220  may be configured to be movable in radial and circumferential directions. 
       FIG. 17  shows one example of configuration in which the light reception unit  220  radially moves and circumferentially rotates. The light reception unit  220  includes a support base  160  that suspends the light reception unit  220 . The support base  160  has a diameter that covers the entire table  12  from above. The lower surface of the support base  160  includes a spiral groove  161 . The light reception unit  220  is engaged with the groove  161 . The light reception unit  220  is connected to a drive source, for example, by a mechanism such as an articulated arm. When the light reception unit  220  is driven by the drive source and moved on the groove  161 , the entire measurement subject S may be analyzed. 
     Additionally, the table driver  60  may be configured to linearly move the table  12  in a direction different from the direction in which the light reception unit  220  moves relative to the table  12 . 
     Any structure may be used as long as the measurement unit  200  is capable of measuring the entire measurement subject S that is placed on the table  12 . In the structure in which only the measurement unit  200  is moved, the measurement subject S may be kept still. Thus, the measurement subject S does not receive force and may not be deformed even when the measurement subject S is liquid or easy to deform. This limits decreases of the measurement accuracy caused by the deformation of the measurement subject S. 
     The measurement regions A 11  to Ann of the second embodiment are arranged so that adjacent ones of the measurement regions A 11  to Ann do not overlap with each other. However, adjacent ones of the measurement regions A 11  to Ann may be arranged to be overlapped with each other. 
     In the second embodiment, the measurement regions A 11  to Ann are changed whenever the measurement is completed. Instead, the measurement may be performed as rotating the table driver  60 . In this case, when the portion regions PX of the distribution image P are further segmentalized, the continuous distribution image P may be shown. 
     In the measurement regions A 11  to Ann of the second embodiment, portion nutrition information between adjacent ones of the measurement regions A 11  to Ann may be calculated through an interpolation process. In this case, the number of portion regions PX of the distribution image P increases in accordance with the interpolation process. 
     Instead of the table driver  60  and the measurement unit driver  70  of the second embodiment, a light shield filter may be arranged above the table  12  and below the measurement unit  200 . In this modified example, the light shield filter covers the entire upper portion of the table  12 . The light shield filter includes electrically-controlled shutters. The calculation unit  30  sequentially changes the measurement regions A 11  to Ann by sequentially opening and closing the shutters. This modified example is referred to as the modified example Z. 
     The modified example Z may include a filter in which a lattice of liquid, crystal filters change transmitting wavelengths instead of the light shield filter. In this modified example of the foodstuff analysis device  1 , for example, when one liquid crystal filter transmits only the first particular wavelengths, other filters are kept from transmitting the first particular wavelengths. Each liquid crystal filter is changed to a state in which only the first to third particular wavelengths are transmitted. When the entire filters are changed to the state in which only the first to third particular wavelengths are transmitted, the portion nutrition information of the entire measurement subject S may be calculated. 
     In the foodstuff analysis device  1  of the third embodiment, (procedure  24 ) and (procedure  25 ) may be omitted. In this case, the calculation unit  30  may form an approximate curve of the graph shown in  FIG. 9A  and execute an interpolation process for interpolating values of the approximate curve into portions that have not been measured. Alternatively, when an average value of the portion nutrition information of two measurement portions that are adjacent to each other in the graph of  FIG. 9A  is calculated, an interpolation process may interpolate the average value into the portion that has not been measured. 
     In the image obtaining unit  27  of the fourth embodiment, the filters that transmit visible light may have only one color. In this case, a single-colored picture image PP is shown on the display  50 . The image obtaining unit  27  may have any structure as long as outputs showing the picture image PP based on visible light are obtained. Additionally, the structure may be such that received light amounts of the light reception elements  26  of the light reception sensors  25 A to  25 C are overlapped. In this case, an image similar to the picture image PP based on the visible light may be displayed. In the structure that uses the received light amounts of the light reception elements  26  of the light reception sensors  25 A to  25 C, it is preferred that adjacent light reception elements  26  correspond to one portion region PX. In this case, the distribution image P is rough as compared to the picture image PP in which the light reception elements  26  are all pixels. Thus, the user may easily recognize the component distribution. 
     The calculation unit  30  of the fourth embodiment shows, on the display  50 , the superimposed image PS in which the distribution image P is superimposed on the picture image PP. Instead, an image showing the picture image PP through the distribution image P may be shown on the display  50 . Alternatively, an image in which a portion of the picture image PP, for example, the outline of the measurement subject S, is replaced by the distribution image P may be shown. 
     The foodstuff analysis device  1  of the fifth embodiment may further include a mouse that enables a pointer to move in the display  150 . The user selects a selected range RS using the mouse. In this case, the touch panel function may be omitted from the display  150 . In this modified example, the mouse corresponds to the “selection unit.” The selection unit may have any structure as long as the user can select a selected range RS. 
     The foodstuff analysis device  1  of the fifth embodiment may receive at least one of target calories and target component amounts as the designated information. 
     The calculation unit  30  of the sixth embodiment may replace portion nutrition information of portions that are not included in the selected range RS with substitute presentation information. In this case, the display  150  shows the components and calories obtained by adding the total nutrition information of the substitute presentation information to the sum of portion nutrition information of portions included in the selected range RS. 
     The calculation unit  30  of the sixth embodiment may store at least one of the total calories and components of a number of kinds of foodstuff in advance. The calculation unit  30  selects substitute nutrition information from the stored foodstuff information and shows the substitute nutrition information on the display  150 . 
     The calculation unit  30  of the sixth embodiment shows the distribution image P in which the selected range RS is replaced by the foodstuff candidate Cn on the display  150 . Additionally, the distribution image P of the foodstuff candidate Cn may be displayed by adding to a portion that is not included in the selected range RS. Further, the components of the foodstuff candidate Cn and the components of the selected range RS may be compared and indicated using a graph, a numeral value, or the like. 
     The calculation unit  30  of the sixth embodiment shows the foodstuff candidates C 1  to Cn on the display  150  when the selected range RS is input but may be changed as follows. If the component amounts of the measurement subject S are less than the target component amounts when the selected range RS is not input, the foodstuff candidates C 1  to Cn may be selected based on the difference between the component amounts of the measurement subject S and the target component amounts. Additionally, the foodstuff candidates C 1  to Cn may be displayed by adding to the distribution image P. 
     The calculation unit  30  of the sixth embodiment may calculate the selected range RS and the substitute presentation information based on the difference between the target component amounts and the component amounts of the measurement subject S to show on the distribution image P in which the selected range RS is replaced by the foodstuff candidate. 
     The calculation unit  30  of the seventh embodiment may be configured to allow the user to input calories that are wished to be decreased from the measurement subject S by a numeral value. In this case, the same process as steps S 14  to S 18  of the selected range determination process is repeated until the sum of portion calories of portion regions PX selected in step S 16  conforms to the input calories. 
     The configuration of the seventh embodiment may be changed so that each component amount conforms to the target component amount instead of calories. 
     In the seventh embodiment, the process of steps S 15  to S 18  may be changed to a process described below. Portion regions PX having portion calories lower than the threshold value are eliminated, and the total calories are divided by the remained potion regions PX, and the number of portion regions PX that conform to the difference between the total calories and the target calories is calculated. Then, the calculated number of portion regions PX is emphasized and displayed on the distribution image P. 
     In the measurement of the first to seventh embodiments, the emittance of light, from the light source  21  may be performed for a predetermined period. 
     In the first to seventh embodiments, the number of the particular wavelength reflection units  24  and the light reception sensors  25  may be one, two, four, or more. The particular wavelengths reflected by the particular wavelength reflection unit  24  may be changed to wavelengths that are correlated with calories of a foodstuff or components of a foodstuff. 
     For example, the calorie coefficient of protein and the calorie coefficient of carbohydrate are the same. Thus, in a configuration for calculating calories, wavelengths that well reflect both protein and carbohydrate may be used to analyze protein and carbohydrate together. In this configuration, the particular wavelength reflection unit  24  may use two reflectors. Even in this configuration, when calories and fat are calculated as portion nutrition information of the measurement subject S, a distribution image P of the calories and fat may be shown on the displays  50 ,  150 . 
     Water does not affect calories. Thus, the calories of a foodstuff are smaller as the ratio of water contained in the foodstuff increases. Therefore, when the ratio of water is calculated using wavelengths that well reflect water of a foodstuff, the calories may be calculated. In this configuration, the particular wavelength reflection unit  24  may include one reflector. Even in this configuration, when calories are calculated as portion nutrition information of the measurement subject s, the distribution image P of the calories may be shown on the displays  50 ,  150 . Additionally in each embodiment of the foodstuff analysis device  1 , the calculated ratio of water may be used to correct fat, protein, carbohydrate, and calories. 
     The foodstuff analysis device  1  of the first to seventh embodiments analyzes fat, protein, carbohydrate, and calories of the measurement subject S. Instead or additionally, components of water, salt, various minerals, vitamins, or the like may be analyzed, and a distribution image of the components may be displayed. In this case, water, salt, various minerals, and vitamins correspond to “portion nutrition information.” 
     The light reception elements  26  of the first to seventh embodiments may be changed to light reception elements  26  that selectively have the sensitivity to the first to third particular wavelengths. In this case, the reflectors  24 A to  24 C may be omitted. Additionally, in this modified example, two of the light reception sensors  25 A to  25 C,  250 A to  250 C may be omitted. More specifically, one light reception sensor  25 ,  250  may include sets of light reception elements  26  that are arranged in a lattice and selectively have the sensitivity to the first to third particular wavelengths. The light reception sensor  25 ,  250  may calculate the portion nutrition information of each measurement portion. 
     The absorbance wavelength of hydrogen bond changes in accordance with the temperature. Thus, a plurality of particular wavelength reflection units  24  and light reception sensors  25  may be provided for one single wavelength. In this case, the particular wavelength reflection units  24  and the light reception sensors  25  are changed in accordance with the temperature of the measurement subject S. 
     The measurement units  20 ,  200  of the first to seventh embodiments may include a filter switching unit  90  shown in  FIG. 18 . The filter switching unit  90  includes filters  91 . The filters  91  only transmit light having particular wavelengths. The light reception sensors  25  including a lattice of the light reception elements  26  are located at the downstream side of the filter switching unit  90 . The calculation unit  30  may change the wavelength directed toward the light reception sensors  25 A to  25 C by changing the filter  91  opposed to the light reception sensors  25 . In this modified example, the number of light reception sensors  25  may be reduced as compared to a structure in which light reception sensors  25  are arranged for each set of particular wavelengths. This modified example is referred to as a modified example X. 
     The modified example X may include a filter capable of changing reflecting particular wavelengths in accordance with applied voltage, for example, an acousto-optic filter, instead of the filter switching unit  90 . Alternatively, a Fabry-Pérot interference filter may be used. In this case, the Fabry-Pérot interference filter includes a drive source such as a motor that changes the distance (gap length) between two mirrors included in the interference filter. The change in the gap length changes the wavelength of light transmitting the interference filter. 
     The modified example X may include a set of three filters that transmit only one of the first to third particular wavelengths to the light reception sensors  25  instead of the filter switching unit  90 . The three filters are coupled opposing to three light reception elements  26 . The portion nutrition information corresponding to one portion region PX is calculated based on a set of the three light reception elements  26 . 
     In the modified example X, when the filter switching unit  90  is arranged between the light source  21  and the measurement subject S, the wavelengths of light directed toward the light reception sensors  25  may be changed. Alternatively, when a plurality of right sources  21  that emits only particular wavelengths, which may be LEDs or lasers, are used, the wavelengths of light directed toward the light reception sensors  25  may be changed by sequentially changing the light sources  21 . 
     In the modified example X, a reflector the angle of which is changeable may be located at an upstream side of the filter switching unit  90 . The light reception sensors  25  are located at a downstream side of each filter  91 . When the angle of the reflector is changed, each filter  91  and each light reception sensor  25  are sequentially irradiated with the light reflected from the measurement subject S. This modified example is referred to as a modified example Y. 
     The modified example Y may include a spectral unit, which disperses light, instead of the reflector. Additionally, the light reception sensors  25  are located at a downstream side of the spectral unit and a position corresponding to a particular wavelength of the dispersed light. 
     The reflectors  24 A to  24 C of the measurement units  20 ,  200  of the first to seventh embodiments may be changed to a configuration that transmits only particular wavelengths. In this case, each light reception sensor  25  is located at a rear side of the corresponding reflectors  24 A to  24 C. 
     The measurement unit  20 ,  200  of the first to seventh embodiments may include a plurality of light sources  21 . 
     The light source  21  may be omitted from the measurement units  20 ,  200  of the first to seventh embodiments. In this case, the measurement subject. S may be analyzed using light including near-infrared rays such as sunlight or illumination located inside the room where the foodstuff analysis device  1  is located in this case, the case  11  may also be omitted. 
     In the measurement units  20 ,  200  of the first to seventh embodiments, the light source  21  and the light reception units  22 ,  220  are located above the measurement subject S. Instead, one of the light source  21  and the light reception units  22 ,  220  may be located below the measurement subject S. For example,  FIG. 19  shows a modified example of the measurement unit  20  in which the light source  21  is located below the table  12 . The table  12  includes a window  12 A that transmits near-infrared light. The light reception unit  22  receives light that has transmitted through the measurement subject S. Alternatively, when one of the light source  21  and the light reception units  22 ,  220  is located both above the measurement subject S and below the table  12 , the dispersed reflection light and the transmitted light of the measurement subject S are used for the measurement. 
     The displays  50 ,  150  of the first to seventh embodiments show the ratio of a component having the largest ratio in each portion region PX on the component distribution image P. However, two components may be simultaneously displayed. In this case, the ratio of each component is indicated by an intermediate color of the presentation colors of two components having larger ratios. As the ratio of one of the two components to the other component increases, the displayed presentation color is closer to the presentation color corresponding to the component. 
     When a distribution image P showing only the ratio of protein, a distribution image P showing only the ratio of fat, and a distribution image P showing only the ratio of carbohydrate are formed, the configuration may be such that the distribution images P are switched by the switching button  42 . 
     The displays  50 ,  150  of the first to seventh embodiments show the ratios of the components on the component distribution image P but may show absolute amounts of the components. 
     The displays  50 ,  150  of the first to seventh embodiments show the presentation colors having darkness corresponding to the absolute value of calories on the calorie distribution image P. Instead, of the entire portion regions PX, one having the maximum calories may have the darkest presentation color, and one having the minimum calories may have the lightest presentation color. Ones having other calories may be displayed in representation colors having intermediate darkness in a stepped manner. 
     The displays  50 ,  150  of the first to seventh embodiments indicate the calorie amounts and the component ratios by the darkness of the presentation colors on the calorie distribution image P and the component distribution image P. Additionally, kinds of component are indicated by different presentation colors. However, brightness, differences in color, and patterns may be used for such indication. Alternatively, a three-dimensional bar chart may be used. Any image may be used as long as the distribution image P allows for visual recognition of portion nutrition information. 
     The first to seventh embodiments may include a comparison measurement mode. In the comparison measurement mode, the measurement is performed when only a food container, in which the measurement subject S will be placed, or nothing is placed on the table  12 . Based on outputs of the light reception elements  26  obtained in the comparison measurement mode, the calculation unit  30  corrects the outputs of the light reception elements  26  or the portion nutrition information. If outputs of the light reception elements  26  obtained when measuring the measurement subject S have the same value as the output of the light reception elements  26  obtained in the comparison measurement mode, the portion nutrition information may be configured not to be shown on the corresponding portion region PX. 
     The table  12  may include a reference portion where the measurement subject S is not placed. The calculation unit  30  may correct the portion nutrition information based on outputs of the light reception elements  26  corresponding to the reference portion. 
     Further, in the fifth embodiment, the user may operate the touch panel of the display  150  and select a portion of the distribution image P where the foodstuff is not placed. The calculation unit  30  corrects the portion nutrition information based on outputs of the light reception elements  26  corresponding to the selected portion and shows the corrected portion nutrition information on, the display  150 . 
     The first to seventh embodiments may further include a particular wavelength reflection unit and a light reception sensor that receive only the light having particular wavelengths having a small effect on calories and components and used for correction. The portion nutrition information may be corrected based on an output of a light reception element  26  of the light reception sensor. The particular wavelengths for correction are determined using foodstuffs having known calories and component information. In one example of specific procedures, the measurement is performed in state A in which the measurement subject S is not placed on the table  12 , in state B in which only the food container for the measurement subject S is placed on the table  12 , and in state C in which the measurement subject S is placed on the table  12 . Then, the measurement result of state A is subtracted from the measurement result of state B to obtain a reference, and the reference measurement result is formalized by the particular wavelengths for correction. 
     The first to seventh embodiments may include a history memory that stores a measurement result of portion nutrition information of the measurement subject S. In this modified example, contents stored in the history memory may be used, for example, to control the blood sugar value of a diabetic patient. More specifically, as shown in  FIG. 20 , a list of amounts of sugar calculated from the amount of carbohydrate contained in the measurement subject S (measured sugar amounts) is displayed. Also, necessary amounts of insulin calculated from the measured sugar amounts) are displayed. 
     In this modified example, when the actual blood sugar value and the intake amount of insulin are input in the foodstuff analysis device  1  using the operation unit  40  or the display  50 ,  150 , the displays  50 ,  150  may indicate the comparison with the measured sugar amounts as shown in  FIG. 20 . Further, when an insulin coefficient calculated from the blood sugar value and the intake insulin amount is also displayed, the amount of carbohydrate that should be consumed next time may be calculated as the target component amount. 
     The first to seventh embodiments may include a history memory that stores the measurement result of the portion nutrition information of the measurement subject S and show a future weight tendency of the user on the displays  50 ,  150  based on the history. Additionally, a recommended intake value may be displayed based on the weight tendency. For example, when the total calories of the measurement subject S continue to be high relative to the target calories, “weight may increase” may be displayed as the weight tendency. Additionally, when analyzing the measurement subject S, “−200 kcal” may be displayed as the recommended intake value. 
     In the first to seventh embodiments, the portion nutrition information calculated by the calculation unit  30  may be only one or two of calories, component ratios, component amounts. 
     In the first to seventh embodiments, the measurement subject S is analyzed when the measuring button  41  is pressed. Instead, the measurement subject S may be repeatedly analyzed in a predetermined time after the measuring button  41  is pressed. In this case, the foodstuff analysis device  1  may also have, for example, a cooking function, and changes in the components during cooking may be displayed. 
     In the first to seventh embodiments, the portion nutrition information or distribution image information of the measurement subject S may be transmitted to an external device through a network. The external device may control the history of the measurement subject S.