Patent Abstract:
A toxicant detection system comprises at least one watertight chamber containing a mollusk. Water to be screened is introduced into the chamber. The mollusk is preferably supported on a mounting structure which facilitates quick mounting of the mollusk in the device, comprising a releasable element affixed to the shell of the mollusk, e.g., a bolt which is screwed into a nut affixed to the mollusk&#39;s shell. A sensing apparatus is provided which includes a movable member supported in the chamber so that it engages the shell of the mollusk, and moves when the shell opens and closes. The sensing apparatus detects the position of the mollusk shell based on the position of the movable member. The sensing apparatus preferably includes a Hall effect transducer which co-acts with a magnet carried on the movable member. The system allows for accurate readings of the small movements of the mollusk shell which aid in detecting toxicants, and also provides for installation of mollusks of varying sizes, without the need to move components of the standard configuration of the chamber. Methods and systems for detecting or identifying a toxicant in water being screened are also described.

Full Description:
This application is a continuation-in-part of application Ser. No. 09/631,045 field Agu. 1, 2000, now abandoned. 

   BACKGROUND OF THE INVENTION 
   1. Field of the Invention 
   This invention relates to the field of monitoring water quality and, more particularly, to monitoring water quality using bivalve mollusks to detect toxicants. 
   2. Discussion of the Prior Art 
   Various organisms have been used to aid in the detection of low-concentration waterborne toxins or toxicants (hereinafter both being referred to as “toxicants” in the broadest sense of the word). Systems for testing water quality using fish, for instance, have been known for some time. For example, in U.S. Pat. No. 4,626,992 to Greaves et al, a video camera monitors the swimming of the fish, and toxicity in the water is indicated by significant changes in swimming behavior. Another system of this type is described in U.S. Pat. No. 4,723,511 to Solman et al., wherein electrodes monitor electric currents generated by fish in a tank of water being tested. 
   Systems which use fish, however, have a number of disadvantages. Usually, the fish are free to move in the system, which introduces ambiguous behavioral variables. The fish also need to be fed which is periodic and unpredictable. Also the fish must be otherwise cared for, resulting in a high maintenance system which is unsuitable for long-term unattended operation. 
   Systems for monitoring water quality using bivalve mollusks have also been suggested in the prior art. Mollusks are particularly sensitive to some pollutants, such as chlorine or sulphuric acid, to metals like copper or cadmium, and to a wide range of organic compounds such as pesticides and hydrocarbons. These systems usually rely on the simple fact that a bivalve keeps its shells open under normal conditions, but closes its shells when a toxicant is detected. 
   Depending on the species, bivalve mollusks can be long lived with life expectancies of 60 to 80 years. Because the animals are filter feeders, and therefore self feeding, deriving all their nutrition and oxygen from the ambient water, a single cohort could theoretically be used for many years in an in situ monitoring system. To ensure peak physical condition and maximum sensitivity in detecting toxicants, however, bivalves in the monitoring system should be routinely changed at four- to six-month intervals depending on conditions. Also, if exposed to a toxicant, the bivalves should immediately be replaced with naive animals, i.e. mollusks that have not previously been exposed to toxicants. 
   Mollusk-based detection systems of the prior art, however, are generally not configured for the ready installation or removal of mollusks, which can vary considerably in size, even within a species. There is consequently substantial work required to install and calibrate the sensor system, which in the prior art is effectively built around the individual mollusk. 
   In addition, systems that detect the presence of toxicants in response to closure of the shell of the mollusk neglect earlier indications of toxicant presence that precede full closure of the shell. This delays the detection of toxicants, especially in lower concentrations. There is also a potential for false negatives or false positives in prior art systems due to a slow or only partial closure of the shell in the presence of a toxicant, due to diurnal behaviors of the mollusk. 
   SUMMARY OF THE INVENTION 
   Accordingly, it is an object of the present invention to provide for a reliable and relatively low maintenance water quality monitoring system using one or more bivalve mollusks. 
   It is also an object of the present invention to provide an apparatus for using bivalve mollusks as detectors of toxicants which detects the movements of the shell with a high degree of accuracy, and wherein the mollusks of varying sizes can readily be installed or removed when necessary. 
   According to the present invention, at least one watertight chamber containing a mollusk is provided, and water to be screened is introduced into the chamber. A sensing apparatus is provided which includes a movable member supported in the chamber so that it engages the shell of the mollusk, and moves when the shell opens and closes. The sensing apparatus detects the position of the mollusk shell based on the position of the movable member. The system allows for accurate readings of small movements of the mollusk shell which aid in detecting toxicants, and also provides for installation of mollusks of varying sizes, without the need to attach complex structures directly to the shell of the mollusk. 
   Preferably, the movable member carries a magnet which co-acts with a Hall effect transducer supported on an adjustable structure, which facilitates calibration of the position of the sensor during installation of the mollusk in the device. 
   In addition, the mollusk is preferably supported on a mounting structure which has a releasable element affixed to the shell of the mollusk, e.g., a bolt which is screwed into a nut affixed to the mollusk&#39;s shell by glue, or some other method. This structure facilitates quick mounting of the mollusk in the device. 
   According to the present invention, the diurnal cycles of the mollusks used to screen water are reduced or eliminated by maintaining the mollusks in a lighted environment at all times. 
   Other advantages and objects of the present invention will become apparent in the specification here set forth, and the scope of the invention will be set forth in the claims. 

   
     BRIEF DESCRIPTION OF THE DRAWINGS 
       FIG. 1  is a schematic view of a water-monitoring system according to the invention. 
       FIG. 2  is a perspective view of one of the mollusk chambers of the system. 
       FIG. 3  shows a cross-sectional view through one of the chambers. 
       FIG. 4  is an enlarged detail view of the Hall effect sensor shown in  FIG. 3 . 
       FIG. 5  shows a cross-sectional view as in  FIG. 3  of an alternate embodiment of the chamber. 
       FIG. 6  is a schematic view of the points of engagement of the apparatus with a mollusk in the chamber. 
       FIGS. 7 through 10  are graphs illustrating application of a toxicant detection method of the invention to a test exposure to sulfuric acid. 
       FIG. 11  is a graph illustrating various functions which may be used to determine Degree Of Alarm from mollusk behavior. 
       FIGS. 12 to 16  are graphs illustrating results of a toxicant detection method of the invention in reaction to a presence of chloride in the water. 
       FIGS. 17 to 21  are graphs illustrating results of a method as in  FIGS. 12 to 16 , but in reaction to a presence of copper in the water. 
       FIG. 22  is a generalized schematic of a neural net system for detecting toxicant presence. 
       FIG. 23  is a generalized schematic of a neural net system for identifying a specific toxicant or type of toxicant present in the water being screened. 
   

   DETAILED DESCRIPTION OF THE INVENTION 
   The system of the present invention is configured to test water for the presence of a variety of toxicants by monitoring bivalve shell movement. Bivalves (clams, mussels, etc.) are mollusks having two hinged shells or valves. 
   Because bivalves, in their natural environment, are relatively sedentary and immobile, they have had to evolve behaviors to avoid the detrimental effects of toxicants. Normally, bivalves feed, acquire oxygen, and release wastes through tube-like siphons that extend between the shells, and consequently their shells are open most of the time. In the presence of a toxic substance, however, the animals retract the siphons and alter the shell opening (or gape) in an effort to exclude the toxicant. 
   Depending on the type and level of toxicity, the animals typically may partially or totally close their shells. Certain toxicants may even cause the shells to gape wider than normal as the animals lose muscular control, and in rare extreme cases where a toxicant proves fatal, the death of the animal results in an abnormally wide gape. Generally, movement of the shells can be varied, such as fluttering, or a simpler closing or opening, of the shell. The associated changes in shell gape are relied upon in the system of the present invention. 
   The invention can monitor fresh or salt waters by using bivalve species appropriate to the application. For freshwater applications, species of choice include members of the family Unionidae, and especially preferred is  Elliptio complanta . Where they are already established, the ubiquitous pest species  Dreissena polymorpha  (zebra mussel) and  Corbicula manilensis  (Asiatic clam) can be used. For saltwater applications, bivalves as diverse as  Mytilus  species (marine mussels), especially  Mytilus edulus  (blue mussels),  Crassostrea  species (oysters) and species of the family Pectinidae (scallops) as well as others can be used. 
   a. Overall System Design 
   As best shown schematically in  FIG. 1 , the water monitoring system, generally indicated at  3 , is preferably placed near a source of the water to be tested and comprises an enclosure  5  with an inlet  7  through which water to be tested is drawn in by a pump  9 , which may be inside or outside of the enclosure  5 . Inside the enclosure  5 , the pump  9  introduces water to be tested to a conduit  11  which supplies this water to a plurality of conduits  13 , each of which supply the water to a respective mollusk chamber  15 . The water flows through the chambers  15  and then passes to outlet conduits  17 , which communicate with outlet pipe  19 , which in turn returns the tested water to the water source or deposits it in some other location outside the enclosure  5 . The system may be powered by a local power line, generator, or by solar power if feasible for the particular placement of the system. 
   Each of the chambers  15  contains a mollusk which is exposed to the water flowing through the chamber  15 . The behavior of the mollusks in reaction to the water is detected electronically, and, to transmit the individual mollusk data, each of the chambers has an electronic output line  21  connected therewith which connects and transmits electronic signals derived from the position of the shell of the mollusk to analog/digital converter  23 . 
   Vibration and temperature can also affect the behavior of the mollusks, introducing another factor to be considered in addition to toxicants in the water. Consequently, to monitor such influences, the enclosure  5  may be equipped with a vibration sensor  29  which is connected to analog/digital (A/D) converter  23  by connection  31 . The temperature and the flow rate of the water may be monitored by a thermometer and/or flow rate sensor  33 , connected to the A/D converter by a connection  35 . 
   In the preferred embodiment, the signals from the mollusks and the temperature and other sensor signals are analog signals, and the signals are transmitted to A/D converter  23 , which converts the analog signals to digital data and transmits them along one or more lines (not shown), to computer or digital circuitry  39 , which may be a computer such as a PC, or a smaller processing system. Preferably, the A/D converter is a component board supported in the housing of computer  39 . Where the digital circuit  39  includes a computer, the data received from the A/D converter may be analyzed, and the information derived in the analysis transmitted to a remote location via outside line  41 . Such a computer may also generate periodic reports, such as in the alternative arrangement in which a simpler digital circuit is used, the digital circuit  39  may package the data in an appropriate format, such as TCPIP, and transmits it to a remote location by line  41 . Line  41  may be a standard analog telephone line, or it may be a more efficient communications method for transmitting the data, such as a digital network, e.g., the Internet, or another telecommunication method, of which there are many well known in the art. 
   b. Mollusk Chambers 
   In the preferred embodiment, the testing system  3  contains eight chambers  15 , substantially identical to each other.  FIGS. 2 and 3  show the structure of each chamber  15 . 
   The chamber  15  comprises a back wall  43 , a bottom wall  45 , a top wall  47  and two laterally spaced, vertically extending side walls  49 . A front wall  50  engages the front of side walls  49  and top and bottom walls  45  and  47  to enclose the interior  51  of the chamber  15  in a water-tight manner, such as by securing bolts structure  52  which clamp front wall  50  against the remainder of the chamber  15 . A variety of types of securing structures  52  may be used, and it will also be understood that a wide range of structures can be applied to form a water-tight chamber. 
   The walls of the chamber  15  are preferably formed of clear polycarbonate material. This is especially advantageous because the enclosure  5  contains a light source, preferably a fluorescent light, or one or more LED&#39;s adjacent the chamber  15 , which keeps the interior of the enclosure  5  uniformly lighted at all times. This continuous lighting prevents diurnal changes in the mollusks, which might otherwise exhibit daily cyclical variations of opening and closing behavior, which would be unrelated to the water quality. 
   For easy installation and removal of the chambers  15  to the overall system, each of the chambers  15  is a substantially modular unit. To facilitate installation or removal, bottom wall  45  is provided with inlet pipe  53 , which includes a valve  55  and a quick-connect fixture  57 , which allows it to be readily connected to, or disconnected from, conduit  13  as desired. When connected, the valve  55  is opened, and water from conduit  13  can flow through the inlet  53  into the interior of the chamber  51 . Valve  55  is variable in the degree to which it is opened and the flow may thereby be adjusted as desired. Upper wall  47  is similarly provided with an outlet  59  communicating with the interior  51  of the chamber  15 , which is also provided with a quick connection  61  to connect to conduit  17 . When installed, water flows upward through the chamber  15  from inlet  53 , past bivalve mollusk  63 , and out of the chamber through outlet  59 . 
   A mollusk, selected for the type of water and the environment of the system, as discussed previously, is mounted inside each chamber  15 . Referring to  FIG. 3 , the mollusk  63 , as oriented in the Figure, has a “right” shell  65  and a “left” shell  67 . The left shell  67  is glued to a mounting attachment structure in the form of nut  69  which is screwed onto threaded bolt  71 . The nut  69  is affixed to the shell  67  at a specific location which is along the lateral center-line of the shell and slightly towards the mollusk&#39;s hinge between shell  67  and  65 . The threaded bolt  71  is screwed into a mounting structure  73 . Depending on the size of the mollusk, the screw structure  71  is screwed to a greater or lesser degree into the mounting structure  73 , providing adjustment to position the mollusk  63  approximately in the center of the flow of water through chamber  15 , facing upwardly in their naturally observed position. 
   The presence of toxicants in the water is detected in the system from movements of the mollusk&#39;s shell  65  in the chamber  15 . A sensing device generally indicated at  75  monitors the movements of the shell of the mollusk. The sensing device  75  has a lever  77  which is pivotally supported on a mounting structure  79  affixed to side wall  49 . The lever  77  pivots about pin  81  and has a roller  83  mounted on a first portion  87  of the lever  77  which extends downward from the pivot point  81  and rests against a front portion of the mollusk at approximately its lateral center line. A spring  85  connects one side of the lever with the mounting structure  79  and biases the lever  77  to rotate so that the roller  83  is in engagement with the shell  65  of the mollusk  63  at all times. The spring  85  is of a strength sufficient to keep the roller  83  engaged with the shell  65 , but weak enough so that it has no effect on the activity of the mollusk in opening and closing its shell. In the preferred embodiment, the spring constant of the spring  85  is preferably in the range about 0.1 to 0.4 pounds per inch, and most preferably in the range of 0.16 to 0.3 pounds per inch. 
   The lever  77  also includes an upper portion  89  which extends upwardly from the pivot point  81  and supports a magnet  91  thereon. The ratio of the distance from roller  83  to the pivot point  81  relative to the distance from the magnet  91  to the pivot point  81  is generally in the range of 1:1 to 1:2. 
   As best shown in  FIG. 4 , the sensor structure  93  preferably comprises a Hall effect sensor  99  which has a sensor head  97  projecting through tube  95  affixed to wall  49  into the interior  51  of the chamber  15 . Any suitable sensor may be used in the system, but particularly preferred is a Hall effect sensor produced by Xensor Corporation of Pittsburgh, Pa. Similarly, any magnet may be used, but in the preferred embodiment the magnet is the AlNiC magnet sold by the Duramagnet Co. As the mollusk  63  opens and closes its shell, the movement causes pivoting of the lever  77  about pivot  81 , which also moves magnet  91  on the end of lever portion  89  toward or away from the Hall effect sensor  99 , and the output of the Hall effect sensor varies as the magnet  91  moves toward and away from the sensor  97  with movement of the shell  65  of the mollusk  63 . The sensor  99  includes a threaded portion  101  which is threadingly received into a threaded aperture  103  in wall  49 . The precise position of the head  97  within the chamber  15  is adjusted by screwing the sensor  99  to the proper location in threaded aperture  103  during installation of the mussel  63  in the chamber  15 . 
   Since water flows continuously through the chamber  15 , and the sensor  99  extends through aperture  103  in chamber wall  49 , precautions are taken against leakage. The sensor  99  includes a cylindrical portion  105  which supports the head  97  and extends through a cylindrical aperture  107  in the sensor support structure  95 . This passage  107  through support structure  95  is sealed against leakage by two or more O-rings  109 , which sealingly engage the sides of the passage  107  and prevent water from leaking out through the sensor structure  93 . 
   The output of the sensor  99  is electronic analog signals. The outward end of the sensor  99 , generally indicated at  111 , is connected with cable  21 , which comprises three separate wires  113  which each connect with the Hall sensor. One wire carries in-voltage (V in ) (preferably 5 volts), a second wire connects to ground, and a third wire carries the out-voltage (V out ), which is the analog data representing the distance to which the mollusk shell is opened, which distance is referred to herein as “the gape” of the mollusk. 
   The A/D converter  23  communicates with the sensor  99 , along lines  113 , and preferably interrogates the sensor at a frequency of 2 Hz, i.e., once every ½ second. The analog output of the sensor  99  is converted to digital form and logged to a disk drive in computer  39 , or to a remote location, preferably about once every minute. Alternatively, computer  39  may calculate Degree of Alarm (“DOA”) in a running real-time application. 
     FIG. 5  shows an alternate embodiment wherein the chamber  15  is provided with a similar mounting and support structure for mollusk  63 , but a different sensor structure. This alternate design is particularly desirable where sediment from the water is likely to form in the system. Lever  115  is pivotally supported about pin  117  on support structure  119 . One end  121  of the lever  115  supports the pivotally mounted roller  123  which engages the shell  65  of the mollusk. The other end  125  of the lever  115  is connected by a stainless steel wire  127  to a nylon housing  129  which holds magnet  131 . The magnet is supported inside a chamber generally indicated at  133  which is formed by a cylindrical member  135  attached to side wall  49  and an inside member  137  attached to the inward end thereof. This member  137  has an aperture  139  therein through which the wire  127  extends and connects to the magnet housing  129 . This aperture is fairly small, permitting passage of water as may be necessary, but limited in terms of the amount of material that can pass therethrough, limiting the possibility of contamination or accretion of material on the magnet  131  which might arise due to sedimentation from the water in chamber  15  and affect readings from the sensor  99 . 
   A bias means in the form of spring  141  is provided between end wall  139  and the back of the nylon container  129  for magnet  131 . This biasing structure  141  urges the magnet outwardly towards side wall  49  and creates tension in wire  127  which rotates lever  115  so that the roller  123  rides on the shell of the mollusk, and travels therewith. Hall effect sensor  99  is in this embodiment supported in a structure generally indicated at  143  which provides for adjustment of the placement of sensor  99 . This structure comprises a cylinder  145  and an outer wall  147  supported on the outward side of side wall  49 . An inner cylinder  149  receives the sensor end of sensor  99  therethrough in a sealing fashion with O-rings surrounding the sensor end, in a fashion similar to that described with regard to the preferred embodiment. 
   For adjustment purposes, the outer wall  147  is threaded to allow adjusting movement of the sensor  99  in and out of structure  143 . The outer end of the sensor  99  is connected to the system as in the preferred embodiment, by a cable and a connector. 
   When the mollusk in this embodiment moves the shell  65 , it causes the lever  115  to rotate and move with the magnet structure  131 . This moves the magnet into proximity with, or away from, the Hall effect sensor, which causes the sensor to produce an output related to the position of the shell. The walls of the tubular structure  135  are of a teflon material to prevent friction with the nylon structure  129  surrounding the magnet  131 , and to ensure the smooth reciprocating movement of the magnet in the apparatus. 
   c. Physical Installation of Mollusks in the System 
   The present system is particularly advantageous from the standpoint of facilitating installation or replacement of the mollusks or the chambers  15 . 
   The mollusk is mounted in the chamber  15  by first mounting an attachment structure, such as nut  69 , on the left shell of the mollusk. The attachment structure is preferably glued to the shell, and is positioned thereon using ajig. The jig positions the structure on the shell along the lateral center line of the mollusk and about one-third of the lengthwise dimension of the mollusk from the hinge of the shell, i.e., closer to the hinge than to the opposing open end of the shell, as is best indicated in  FIG. 6 , wherein an optimal placement position for the attachment structure is indicated by reference character A. 
   A mollusk is then transported in any convenient container to the system  3  installation. The chamber  15  to be used may be transported at the same time, empty of water because the mollusk is not yet installed. Alternatively, the chamber  15  may already be in the system  3 , in which case it is removed therefrom by releasing the quick-connects  57  and  61 . The front panel of the chamber  15  is then opened to access the interior of the chamber  15 . 
   The mollusk is attached via the attachment structure  69  to an adjustment structure such as threaded element  71 . After the mollusk is so attached, the threaded element  71  is secured in support structure  73  on the wall of the chamber  15 . The threaded element  71  is screwed into the support structure  73  to a point at which the mussel is in the lateral center line of the chamber  15 , in the middle of the flow of water through the chamber, and facing upward away from the inlet  57 . 
   Alternatively, the threaded element  71  may be first screwed into mounting structure  73 , and nut  69  is then connected therewith. Other assemblies for mounting a mollusk can be envisioned, the benefits of the present invention being found, inter alia, in the securement of an attachment structure to the shell, especially using a positioning yoke, and by connecting the attachment structure to a support in a way that allows adjustment of the position of the mollusk. 
   After mounting of the mollusk, the sensor system  75  is allowed to engage the mollusk shell, with roller  83  biased to rest against the shell by spring  85 . The lever  77  is supported in the chamber  15  in a fixed location, but its dimensions are such that roller  83  contacts the upper shell of the mollusk at a middle area along the center line of the mollusk  63 , generally indicated at B in  FIG. 6 . 
   d. Calibration 
   A major advantage of a sensor system having a movable member such as lever  77  is that it keeps the magnet and sensor  99  in appropriate vertical and lateral alignment with each other while allowing for variations in the size of the mollusk. The thickness of the mollusk, however, may result in some variation in the distance of the magnet on lever  77  from the Hall effect sensor head and this necessitates some initial calibration of the device where the mollusk is closed. 
   This calibration is performed during installation by clamping the mollusk closed, and then adjusting the position of sensor  77  by rotation thereof in threaded aperture  103 . This adjustment is performed with electrical contacts connected to the sensor  99  until the output voltage V out  is in the range of 1.2 to 1.4 volts. Once this adjustment is completed, the mollusk shell is unclamped, and the chamber  15  may be installed in the system  3  and filled with water from the associated conduit  13 . 
   Generally, the mollusk gape will vary from about zero in the closed position to about 1 to 1.5 cm in the open position. In the preferred embodiment, as the mollusk opens its shell, the magnet moves farther away and the sensor output voltage V out  increases. Additional adjustments of the sensor are made if necessary to maintain this output voltage V out  within a desired range. Preferably the V out  of the Hall effect sensor ranges from 1.2 to 1.4 volts when the mollusk is closed to 1.9 to 2.5 volts when the mollusk has its shell open at its maximum normal gape. If the output voltage increases to 3 volts or more, this normally indicates that the gape of the mollusk has become completely wide open, and that the mollusk is dead or under the effect of a muscle-relaxing toxicant. 
   Further calibration of the system is performed after one or more mollusk chambers are properly installed. The digital circuitry or computer  39  then monitors the gape of the mollusk during approximately the first three days after installation. From the gape values derived during this period, the computer derives a natural maximum gape value for the individual mollusk. Subsequent calculations based on output from the mollusk chamber  15  are based on the percentage of gape, i.e., the percentage of the maximum gape output value that the presently detected gape output value represents. 
   e. Detection of Toxicants 
   When the system  3  contains a number of mollusk chambers  15 , the individual mollusk percentage gape data for all of the mollusks of the system is totaled, and the average percentage gape value calculated periodically per sampling interval by computer  38 . This mean data value G i  is the variable used as the mollusk output data for determining if toxicants are present in the water being screened. 
   In the present specification, G i  means the current average mollusk gape data, G i−i  means the most recent earlier mollusk output value, G i−2  the next earlier mollusk output variable, etc. The oldest of the gape values is G i−n+1 . Preferably, the set of data values G i−n+1  to G i  are stored in a FIFO (first-in, first-out) stack data structure in the computer doing the analysis. The stack acts as a shift register, shifting earlier data values as the new data value G i  is acquired. Preferably the value of n is 30, and the data values G are acquired every half-second. 
   A variable referred to as Degree of Alarm (“DOA”) is derived from the mean mollusk output data using one of a variety of analysis formulae or methods, ranging from simpler models to more complex systems based on neural net technology that can identify the particular toxicant types that are present in the water and causing a reaction by the mollusks. 
   DOA is preferably a number greater than zero, with higher numbers indicating presence of toxicant. When the calculated DOA value exceeds a predetermined threshold, an alarm condition may be triggered, setting off whatever notices and communications are desired to react to a potential toxicity detection. These communications may include transmitting a fax, activating a pager, sending an automatic telephone message, alerting an Internet browser of an operator, updating a web site, or any other appropriate notification method. In addition, a sample of the water being tested is automatically extracted by the system  3  by an auto sampler and stored at about 4° C. for laboratory analysis. 
   The threshold DOA value will vary depending on the particular installation. For example, where drinking water is being screened, the DOA threshold value should be low so as to trigger an alarm with greater sensitivity. On the other hand, where a water source such as a river that is already environmentally compromised is being tested, a high DOA may be more appropriate. 
   When the toxicant in the water is of a type which causes relaxation of the mollusk, the gape will exceed the normal maximum gape for a substantial period of time, e.g., for several minutes. This condition will trigger an alarm condition which may be identified by the output of a high DOA value. 
   Similarly, if the toxicant in the water arrives in such a high concentration that it kills the mollusk, the mollusk shell will open to a very wide gape, possibly as much as 200 or 300% of the normal maximum gape. This very high gape value will be interpreted to indicate death of the mollusk, and notification of this will be sent out through the communications line to alert an operator. Where several mollusks in the system die contemporaneously, it is reported as a toxic event. This report may be either by a communication different from DOA representing a major lethal event, or by a high DOA value. 
   In more usual toxic events, the concentration of the toxicant rises slowly, and the mollusk reacts by closing its shell above a certain concentration. It has been noted, however, that prior to closing its shell (i.e., gape=0), the mollusk will initially start a pumping action, meaning an initial agitation. 
   One aspect of the invention is to detect the initial “pumping” of the mollusk when concentration of toxicant is still low. This pumping is accomplished by a limited opening and closing of the shell in a fluttering action. In terms of data output for the sensor, there is a great deal of variation in the percentage gape values during the pumping period indicative of increased movement of the shell. For analyzing the degree of movement of the mollusk shell, a movement value indicating degree of opening and closing activity of the mollusk is calculated which can be compared to a threshold value above which, the movement of the shell indicates the pumping action. 
   According to an aspect of the invention, the variance over time of the gape values is one of the best statistical indicators of the pumping of the mollusk. By the term variance, what is meant is a determination of the variability of the gape values from a mean value, which may be determined or expressed using a variety of functions. Particularly preferred, however, is the classical calculation of variance as: 
           V   =       ∑     j   =   1     n     ⁢       (       G     i   -   j   +   1       -   M     )     2             
where M is the mean (i.e., average) value of the gape values (G i−n+1 , . . . G i ).
 
   A number of methods or systems can be employed to reliably detect toxicants based on the mollusk output data. The methods of determining DOA may also use other pertinent statistical values derived from the gape values. These statistical values include: 
   the first derivative G′ of the data values, preferably calculated as
 
 G   i   ′=G   i   −G   i−1 ;
 
   the second derivative G″ of the data values, preferably calculated as
 
 G   i   ″=G   i   +G   i−2 −2( G   i−1 );
 
   and the traveling mean value M, preferably calculated as 
   
     
       
         
           M 
           = 
           
             
               1 
               n 
             
             ⁢ 
             
               
                 ∑ 
                 
                   j 
                   = 
                   1 
                 
                 n 
               
               ⁢ 
               
                 
                   ( 
                   
                     G 
                     
                       i 
                       - 
                       j 
                       + 
                       1 
                     
                   
                   ) 
                 
                 . 
               
             
           
         
       
     
   
   The following examples detail particularly preferred methods for determining DOA. 
   EXAMPLE 1 
   In a basic method for toxicant detection, DOA is calculated continuously using the formula
 
 DOA= ( V·|R| )/ M  
 
wherein V is the mean variance in gape over a recent period of time, preferably 30 seconds, R is the mean regression of the gape over the period (regression herein meaning the slope of the best-fit line through the data values of the time period). M may be the traveling mean as defined above, or may be the mean gape taken over another longer period, preferably about one hour.
 
   An implementation of this method is shown by the graphs of  FIGS. 7 to 10 . Water being screened by a system as described previously was loaded with sulphuric acid, resulting in a drop in pH as shown in the graph of  FIG. 7 . 
   The average percentage gape of the mollusks exposed to the water is shown in  FIG. 8 , wherein it can be seen that just prior to the 200 minutes mark, mollusks began to reduce their gape, dropping the gape to less than about 10% of the normal maximum shortly after 200 minutes. 
     FIG. 9  shows the mean variance taken over a FIFO set of the ten most recent values. It can be seen that variance spikes shortly before 200 minutes, while percentage gape is still as large as 40%. Traveling mean regression of the last ten data values is shown in  FIG. 10  above the ultimate DOA values calculated. A spike in DOA values, greater than 100 or 150 indicating toxicity, appears before 200 minutes. 
   EXAMPLE 2 
   The variance value may also be used to select which method or function is to be used to interpret the mollusk data and calculate DOA. In such a system, the variance is calculated and compared with a pre-selected threshold value. 
   When the variance is below this threshold value, a first, less sensitive function of the gape data values is used to calculate the DOA value. Such a function might be a linear calculation such as
 
 DOA =(1− G   i )*10
 
which would yield a DOA value between 0 and 10, with 10 corresponding to the mollusk completely closing its shell and strongly indicating presence of toxicant. Also, particularly preferred for such functions are Logistic or Gaussian (or sigmoid) functions as illustrated in  FIG. 11 , which may be modified to keep DOA values in range, and also to provide sensitivity in specific sub-ranges.
 
   As shown in  FIG. 11 , both the Logistic function A and the Gaussian function B have a central region in the area of 50% gape wherein a change in gape has a more pronounced effect (a steeper slope or differential) than in a straight linear relationship C. In areas near 100% gape and 0% gape, the slope or differential of the curve is not as steep as in the middle region. The result of the shapes of the Gaussian or logistic curves is that where gape is greater than 50%, in region D, the possibility of false negatives is reduced, while when gape is less than 50%, in region E, the possibility of false positives is reduced. Depending on the particular system placement or types of mollusks, the curves may be deformed so that the intersection with the linear function C is at a point greater or less than 50%. Other functions may also be used, a primary concern being that the function be in a negative monotone with respect to increasing gape. 
   When the variance value is greater than or equal to the threshold value, the DOA value may be calculated by a different function which amplifies the calculation from the closing of the shell during the period of high variance. Particularly preferred is a more sensitive high-variance function:
 
 DOA=f ( G   i )+ V/K  
 
   Wherein f(G i ) is a linear, Logistic, or Gaussian function, or a-combination thereof, V is the variance of the set of stack values, and K is a preselected sensitivity constant selected based on the desired degree of sensitivity of the system. 
   EXAMPLE 3 
   An implementation of such a DOA method using a Logistic calculation, with a variance factor added for variances over 50, is illustrated by the graphs of  FIGS. 12 to 16 . As seen in  FIG. 12 , water being screened was loaded with a gradually increasing concentration of chloride (as aqueous NaCl). The raw gape data shown in  FIG. 13  exhibited decreasing gape over time to less than 40% of normal maximum gape. This data was smoothed, as seen in  FIG. 14 , by calculation of the traveling mean over the set of stack values. 
   As best seen in  FIG. 15 , variance of the gape values indicates substantial mollusk activity between 0.5 and 1.0 hours. This resulted in a DOA output as seen in  FIG. 16 , already yielding a DOA greater than 5 at 0.5 hours, while chloride concentration was still relatively low. 
   EXAMPLE 4 
   In this example, a system as in Example 3 was used, only the toxicant introduced was copper (as aqueous CuSO 4 ), as shown in  FIG. 17 . Raw percentage gape data ( FIG. 18 ) was smoothed as a traveling mean gape ( FIG. 19 ), and also was analyzed to yield traveling variance values, as seen in  FIG. 20 . The resulting DOA values, seen in  FIG. 21 , increase to exceed 8 out of a possible 10 between 0.5 and 1.0 hours, while the concentration of copper was still relatively low, and gape had only decreased to 50%. 
   Neural Net Embodiments 
   Detection of toxicants based on the mollusk output data may also be advantageously achieved using an artificial neural network. Particularly preferred for such an application is neural net software of the Neuralware Co., of Pittsburgh, Pa., although a variety of other software packages are suitable. 
   As best seen in  FIG. 22 , the neural net system operates on a computer, either in the housing of system  3 , or at a remote location. As with previously discussed embodiments, a system using a neural net to identify toxic events will include a FIFO stack of the last n values of percentage gape for the mollusk. The neural net has a number of input nodes which receive the mollusk output data in a relatively raw form, as percentage gape, and in other statistical forms related to earlier data, including traveling mean gape (the average percentage gape over the last n data samples), variance, and first and second derivatives, all discussed above. These input nodes forward these statistics to the hidden nodes of the system, which yield at an output node a value, which may be a DOA value as in the previous examples, or a p-value ranging from zero to 1, which represents the probability of a toxic event being in progress. 
   Training of such a neural net is performed once for the specific type of installation by exposing the mollusks to various toxicants in various concentrations, and also with data corresponding to the behavior of a mollusk in the absence, or substantial absence, of any toxicant. The neural net is also provided during training with corresponding DOA values so that the neural net can interpolate a relation therebetween. Once training has been done, the neural net nodes are defined as Flashcode or other code generated by the neural net software compiler. This neural net code can be incorporated into the existing software as an analytical routine and then can be selected in place of other DOA algorithms into the computer of any similar water screening system to process the mollusk data thereof. 
   An additional enhancement is made possible by the fact that the behavior of mollusks in response to different toxicants may vary substantially. As a result, the toxicant to which the mollusk is exposed, in some cases, can be identified based on the mollusk&#39;s reaction. This is preferably also accomplished using a neural net, and such a neural net is shown schematically in  FIG. 23 . 
   The second neural net is provided with the same data as supplied to the input nodes of the first neural net, but the second neural net is trained to supply at its output node an output or value that identifies the stimulus, i.e., the specific toxicant or type of toxicant which has provoked the reactive behavior of the mollusk. 
   This second neural net is trained by exposing mollusks to a vast variety of toxicants, and supplying the output data of the mollusks to the neural net, together with identification of the toxicant or type of toxicant involved. Once the neural net has learned how to identify the differing toxicants, the neural net logic is loaded as Flashcode, or other code derived from the neural net software, into a computer in any similar or analogous mollusk-based system. Coupled with a p-value generated by the first neural net, such a system generates both the probability that a toxicant is present, and an identification of the toxicant. 
   It is to be understood that the calculations herein are preferably performed on a digital computer, and that the term value used herein refers to electronic data stored in data areas in the computer used which data areas are normally identified in the relevant software in the computer as variables. Also, the terms used herein should be read as descriptive rather than limiting, since those with knowledge in the art with this specification before them will be able to make modifications to the systems and methods therein without departing from the spirit of the invention.

Technology Classification (CPC): 6