— —7 33m '- 4.4:; "Illll‘llllllllnllllllllllmnll i “a W i 3 1293 00992 7561 Michigan State; University ; This is to certify that the thesis entitled :PESTIC‘JBE QESllsUE ANALYSES (N ‘FR’ESHNKTEK Emu 0%? MAIN LAKE ,11TA ,IBfiBANIN\aER\'R presentedby KOFFl Kopsawmu esouo has been accepted towards fulfillment of the requirements for m S degreein EW'Q-Qmorogj 7724M» W 13‘?in Major préiéssor Date 7. / L1~8é 0-7639 MS U is an Affirmative Action/Equal Opportunity Institution MSU LIBRARIES fl. RETURNING MATERIALS: Place in book drop to remove this checkout from your record. FINES will be charged if book is returned after the date stamped below. mmgmo ' ‘ i. . v .. _ _ .. _,__,,__ wig”? vefi-- -. A: mung“ .__. -.—.—.— Jr—-~~ - o PESTICIDE RESIDUE ANALYSES IN FRESWATER FISH OF MAIN LAKE, IITA, IBADAN, NIGERIA BY Koffi Kobenan Bouo A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Entomology Pesticide Research Center 1986 ABSTRACT PESTICIDE RESIDUE ANALYSES IN FRESHWATER FISH OF MAIN LAKE, IITA, IBADAN, NIGERIA BY Koffi Kobenan Bouo Some organochlorine and organophosphorus pesticides were monitered in fish originated from Nigeria. Samples for organochlorine pesticides were mixed with Sodium Sulfate and blended with petroleum ether. A portion of the blend was placed on a Florisil column and compounds were eluted with mixtures containing 6 and 15% ethyl ether in petroleum ether. Gas-liquid chromatography with electron capture de- tection was used for determination of residues. DDT, Linda- ne, Aldrin, Endosulfan, and Methoxychlor were found in all samples at concentrations ranging from trace to 0.593 ppm. Samples for organophosphorus (OP) residues were blended with acetonitrile in lieu of petroleum ether. The blend was cleaned up through hexane/acetonitrile partitioning. Gas- liquid chromatography with flame photometric detection was used for residue analyses. Only trace to 0.220 ppm of Malaoxon was found in some samples. No other OP residues were detected. Data are intended to provide an entry point for future assessment of any change in pesticide exposure levels in this lake. ACKNOWLEDGEMENTS I would like to record my sincere gratitude to my major professor, Dr. Matthew Zabik, for giving me the opportunity to work in his laboratory and for his guidance in the course of this research project, in thesis preparation and through- out my overall stay at Michigan State University (MSU). Special thanks to Drs. R. Hoopingarner and J. Giesy for serving on my degree committee. Thanks also to Drs. Leavitt and E. Tukahirwa, Bob Kon, Bob Scheutz, Nelson Herron, Jay Gooch, Susan Erhardt, Holly Fortnum, Ines Toro, and Kim Hai-Dong for what we have shared together in the laboratory. I would also like to deeply thank the Government of The Ivory Coast (Ministry of Agriculture), together with the African-American Institute (AFGRAD) for their financial sup— port. Grateful acknowledgement is extended to Ms. Elisabeth Ward who made it possible for me to transfer from West Texas State University to MSU where I have fully achieved my academic goals. Special thanks to everyone of my family, particularly to Dr. Yao Nguettia René for his eternal advice and support. I will be grateful to you all. I finally extend my appreciation to all my special friends; Lisa D. Yelder, Rachel Malaika, Patrice Koné, Gamal Khedr, and Petros Charalambous for all that we have shared together. ii TABLE OF CONTENTS CONTENT page ACKNOWLEDGEMENTS.... ........ . ............... . ............. ii LIST OF TABLES O O 000000000000 O O O O O O O O O O O O O O O O O O O O O ......... V LIST OF FIGURES.. ........... ... ........................... Vi I. INTRODUCTION....... .................................. 1 II. ANALYTICAL METHODS .......................... . ........ 7 A. MATERIALS .................................... 7 1. Collection methods ........................ 7 2. Sample preparation .......... . ............. 7 3. Glassware preparation ..................... 7 4. Reagents......... ......................... 9 a O SOlvents O O O O O O O O O O ....... O ..... O ....... 9 b. Chemicals .............................. 9 c. Miscellaneous items ...... . ............. 10 B. ANALYTICAL PROCEDURES. ....................... 10 1. Organochlorine (0C) pesticides ............ 10 a. Extraction ............................. 10 b. Florisil chromatographic column preparation and clean—up.... ..... . ..................... 10 c. Quantitation ........................... 13 2. Organophoaphorus (OP) pesticides .......... 16 a. Extraction ............................. 16 b. Clean-up procedure ..................... 19 c. Quantitation...... ..................... l9 3. Fortification/Recovery .............. . ...24 iii TABLE fl CONTENTS (continued) CONTENT Page III. RESULTS AND DISCUSSION ............................... 26 A. RESULTS......................................26 B. DISCUSSION........... ........................ 29 IV. CONCLUSIONS .......................................... 36 APPENDIX........................ ....... ...................38 LIST OF REFERENCES ................. . ..... .................44 iv TABLE LIST OF TABLES Page Fish from Main Lake (IITA) sampled for residue analysis.......................... ........ 8 List of selected pesticides studied...............11 Recovery of selected organochlorine and organophosphorus pesticides studied ............... 25 Average and range of concentration (mg/kg wet weight) of organochlorine pesticides found in samples of fish collected from Main Lake (IITA) in Ibadan ..... ....27 Average and range of concentration (mg/kg wet weight) of organophosphorus pesticides found in samples of fish collected from Main Lake (IITA) in Ibadan ....... ..30 List of pesticides in use and/or in stock at the International Institute of Tropical Agriculture (IITA) ...................... . ......... 38 FIGURE LIST OF FIGURES page Extraction scheme for organochlorine pesticides .................. .. ................ ....14 Clean-up scheme for organochlorine pesticides................ ........................ 15 Reconstructed chromatogram of a standard mixture of chlorinated pesticides studied.........17 Reconstructed chromatogram of a sample of fish analyzed for residues of chlorinated pesticides........ ..... ......... ..... . ............ 18 Analytical scheme for organophosphate pesticides studied ................................ 20 Reconstructed chromatogram of a standard mixture of organophosphorus pesticides studied...... .................... . ................ 21 Reconstructed chromatogram of a sample of fish analyzed for residues of organophophorus pesticides ........................................ 22 vi I. INTRODUCTION Agriculture has evolved throughout the world, espe~ cially in developed nations, as a result of innovative de— velopments of many types. For instances, diverse and spe- cialized machinery, development of productive varieties of plants, development and use of chemical fertilizers, and discovery and use of pesticides, to mention just a few, have helped to maintain adequate food supplies in many parts of the globe. In contrast to the developed nations, many deve- loping countries still suffer from low productivity. In the same countries, excessive loss of food crops to insects and other destructive pests leads obviously to starvation. In all these countries use of pesticides remains one of the most powerful and dependable tools available for controlling these pests. These chemicals are more effective, economical, and adaptable for use in a variety of situations than any other proved tools for controlling pest populations at sub— economical levels (Newson et al.,1976). As man has developed machinery and pesticides to sus— tain and increase productivity he has, at the same time, developed source of environmental pollution that has had adverse effects on nontarget plants and animals, including humans, our waterways (Stickel,1968) beside other related problems such as increasing number of resistant pest species (Smith,1976; Brown,1977,1978; Croft,l978). On the other hand, intensive use of pesticides in agriculture today has led to increasing awareness of the problem of safeguarding the consumer and the environment. Upon release in the environment a chemical may be metabolized by living organisms, be transformed through chemical or photochemical reactions, or persists unaltered. In some instances degradation or transformation results in toxic products (Menzie,1972; Crosby,1973; Goring gt al., 1975). There are several properties of pesticides that con— tribute to their behavior as pollutants. Among these are toxicity, stability, solubility, and adsorptivity. Different types of pesticides vary greatly in their toxicity to animals and plants. Insecticides, for example, are selected for their toxicity to insects whereas herbi- cides are selected for their toxicity to weeds. Stability or persistence implies a chemical charac- teristic giving the products long live in soil and aquatic environments, and animal and plant tissues. They are not readily broken down by microorganisms, enzymes, heat or ultraviolet light. From the insecticidal viewpoint these are good characteristics. From the environmental viewpoint they are not. DDT and other chlorinated hydrocarbons are among the most noteworthy examples for their persistence. Their stability combined with their solubility in lipids account for their bioaccumulation and biomagnification. In contrast to the lipid—soluble chemicals, the water—soluble or polar compounds generally are excreted by animals and tend to remain in the aqueous medium where they are readily availa— ble to attack by microorganisms. Adsorption or binding of a chemical to soil colloids or other micellar components in the environment tends to decrease its availability to plants and animals, including microorganisms and to subsequently reduce it decomposition. In view of the importance of the environmental quality control many countries have introduced rigid legislation requiring detailed examination of all kinds of potential ha— zards before a new agrochemical can be approved for specific usage. In the United States, for example, the Environmental Protection Agency (EPA) is basically the primary regulatory institution to take such measures. Residues, hazards, and legal problems are all functions of the overall pesticide load placed on the agroecosystem. The significance of these problems is at best poorly under- stood on a worldwide basis because developing countries do not have qualified personel and the technological systems necessary to monitor pesticide residue levels, distribution, and degradation in the environment. The aquatic environment in particular serves as a reservoir for tremendous quantities of foreign organic chemicals, or xenobiotics. These compounds, many of which are toxic to both aquatic and mammalian species (Matsumura, 1975; Cin g; al.,1982), enter our waterways through various routes. Aquatic organisms may be exposed to xenobiotics, including pesticides by intentional contamination as in the case of sewage effluents, hydrocarbons, lampricides, molluscides, and mosquitoe larvicides (Manda et al.,1974; Cooper,1978; Argaman,1978). Unintentional contamination may result from run—off of pesticides, industrial effluents, hydrocarbons, and other waste substances into the aquatic habitat (Keith,1974,1975; Kanazawa,1975; Carter,1978; Haller,1978). Cases of water contamination with organochlorine pesticides or industrial chemicals were much in the news during the 1960's and 1970's. The result has often been an appearence of persistent contaminants in the exposed aquatic life. Such cases of alleged environmental pollution include PCBs in the Hudson River and the Great Lakes, Mirex in the Great Lakes, and Kepone in the James River. The direct con— sequences that one can infer from this type of pollution are: 1) that exposed aquatic organisms (e.g., fish) may express adverse biological effects which can bring about death (Sheila gt al.,1982) and 2) when some of these sub- stances (e.g., organochlorine insecticides) are incorporated by fish (or plant or animal) into the food chain they pass along it and accumulate in the highest predator in the chain, so that a lethal concentration may be obtained at a level several thousand times that found in the actual water (Young gt al.,1979; Fry and Toone,1981). Therefore, aquatic animals consumed as foodstuff may represent a potential source of human exposure to toxic xenobiotics, including carcinogens and mutagens. Since man heavily depends on animal proteins (e.g., fish) fate of these xenobiotics in aquatic species is of importance. Hence the concern about Main Lake at the Inter- national Institute of Tropical Agriculture (IITA) at Ibadan, Nigeria. IITA is one of the major links in a worldwide net- work of agricultural research and training centers (IITA Research Highlights,1983). The importance of Main Lake for fish production, water supplies for both human needs and agricultural purposes (e.g., irrigation) has greatly increased over the years with growing populations. In addition, since outflow of this lake is limited (surrounded by agricultural lands) chemical dis— charges can be very persistent. Currently there is much concern over the environmental quality of this lake with regard to its fish proteins and drinking water along with general public health. Consequent- ly IITA has requested an evaluation on how much Main Lake is "polluted" through biological matrices (fish) after several years of expanding use of pesticides on nearby farmlands. Organochlorine (OC) insecticides were given priority in our study because of their well known environmental persis- tence and high toxicity to marine organisms (Goldberg,1975; Portmann,1975). Moreover, OC pesticides, even though discon— tinued in use in some nations (e.g., DDT banned in the USA), are still being used and will probably continue to be used for some time in developing countries, further increase the need to study these chemicals. Of equal importance to this investigation were the organophosphorus (OP) insecticides, most of which are known to be more toxic and less persistent than the OCs (Kanazawa,1975; Matsumura,1975), for they have also been used among other classes of chemicals at the IITA. The purpose of this investigation was : 1. to determine the presence and magnitude of pesticide residues in fish of Main Lake; 2. to subsequently measure regional pollution believed to be caused by agricultural discharges into this lake; and, 3. to establish an initial baseline for comparison with future work for this region of Nigeria. Our initial studies, which are reported here, describe the concentration levels and significance of nine selected pesticides in twelve fish species of Main Lake. At present, no comprehensive trace study in fish has been conducted at the IITA. II. ANALYTICAL METHODS 18. IIATERIALS 1. Collection methods Details on methods for fish collection are lacking. However, whole fish belonging to twelve different species (Table 1) were brought to our laboratory for trace analyses following capture. The original samples were then kept frozen (—20 0C) until analysis. 2. Sample preparation In the laboratory each whole fish was considered as one sample. Each fish was allowed to thaw, rinsed with tap water, shaken dry, scaled off, and weighted. Then, fish was individually ground in an industrial type blendor (Model CB-5, Waring Blendor, Waring Products Co., Winted, Conn.) until a homogenous puree was obtained. The finely ground sample was subsampled into widemouth-screw-cap bottles with aluminum foil-lined caps. Every subsample was properly labelled and stored in freezer at -20 0C until analysis. 3. Glassware preparation All glassware (separatory funnels, beakers, flasks, funnels, Teflon seals, and chromatographic tubes) were thoroughly washed sudy in hot water, rinsed out several times with tap water, then distilled water and, finally, with acetone (plus an additional appropriate solvent if necessary, for used glassware only -"like dissolves like") msocochGH L m mass as emoaeocuaH : o Haas as amuseocuaH r a Leo ewaaonu AHHmUV coauuoa use; and; ew>awuom 1 Ar msouo>ficumo I a u mouoz Ii ll-'l'II‘I'l'll|"ll'|l'll'llll m em.N\ok.s o mo.~ m mm.o\ms.o m mm.o:om.o m so.o\mo.o a a~.o\mm.~ m om.H\aa.o m mo.o\ss.o a oo.o\oa.o a as.o\mm.H A me O muoz pawfioz uoB mcoEHommm mo .02 i II. I; ll 'l"l'llll'l'||lll|ll" ommfimmoawooumo moofiuoafic wfiuououom boom os0um NH mmpfiuwmm mHHmucooHooo demeoaonos< cmfimumo BoHHow HH mmmfifiumao muouma mmwumao cmfiwtsz cmofium< 0H mmmfiukauoz wooeofimwo mmouwxauoz «I m ommaccmno musomno macmnu pawn oxmcm w owtfiummam: ompo moummmum *mxfim cmofiuw< n mmeasnoau acmemaawlmwmaaauoeasquzo I s onewfiomouucoo msofiuoaac mound scoped Howfiz m mmpfiaaofio mammawwmw cocouonuoumm massage moafiamo a omeafiauao HAHHAN mamaaas maamsae m.HHN m omcfianoau mwmcoosfinw mamoHHH mHomHfiH mocfioo N unmeasowu msofiuoafic mwsousooouo madmafie oHHz H hawamm oEmz oamaucofiom osmz :mfiawcm .oz mfimmHmcm oopfimmu pom woamfimw A :1 C‘. X a} (U 0 O “4 .C‘. 'U H u a 3 m m 8 III 2 "U . c‘. .. m r .1 I33 ' ‘4 ' U‘J Note : Numbers represent retention times (minutes) for W . standard chemicals 18 Figure 4 - Reconstructed chromatogram of a sample of fish analyzed for residues of chlorinated pesticides Gas chromatographic conditions: Column — DB1 fused Silica, 25 micron liquid phase thickness (capillary column) Oven — 270 C Detector — 63N1 EC, 275 0 Carrier — N2, 30 ml/min. F .fi. Recorder - SP4270 Integrator W) --~3. -M in .4 Ti H o a m 4.) c o > rt H o a: c I'.I.‘l (U r-“~ r—l ._ 3 o H M L! .‘ a: H o 'c c I. 1:. C: (13 III C ‘91,. ”:4 . " 'H IT'IJ D '3' we p m n- e . .1 o - 2 '.L E .‘5‘ ., 1 m :I f '4 “3 r4 -« an I ”W “a '- gfi. “-_' :31: m ...-l-J it-J‘m W ;?.1‘-i; ": . - ..q Note : Numbers represent retention times (minutes) for components in injected sample —..' w .7: W — Methoxychlor .... .... ......k _ —-—.*‘ ....) ..-- -.——.—.—— . 19 was concentrated below 50 0C on a rotary film evaporator for clean-up. b. Clean—up procedure The concentrate (residues) was dissolved in hexane (25 ml) and transfered into a 100 ml separatory fun- nel, and extracted twice with each 25 ml of acetonitrile. The acetonitrile extracts were combined, and concentrated as in above and dissolved again in appropriate volume of acetone for GLC determination. These extraction and clean-up procedures strictly followed those developed by Jun Kanazawa (1975) and were used as described with no modifications. The experimen- tal section is given in Figure 5. c. Quantitation As in the case of the organochlorine (0C) pesticides a standard curve was also obtained for every OP compound. In a similar manner to the OCs, samples and stan- dard solutions were injected into the GLC as well. Figures 6 & 7 show reconstructed chromatograms of a standard mixture and a sample. OP residues were determined on a Beckman GC-65 gas-liquid Chromatograph equipped with a flame photo- metric detector in the phosphorus mode. Analyses were per- formed at the following operating conditions - Column : Pyrex, 6 ft. (1.83 m) x 1/18 in. (1.59 mm) i.d. packed with 4% SE 30 + 6% 0V 210 on 80/100 Chromosorb W-HP 20 Figure 5 - Analytical scheme for organophosphate pesticides 10g of fish sample 1 :1. 10g Na so :2. 50 ml acetonitrile extr. :3. blend 1-2 min. (4. filtration 1 Filtrate1 Sample 5. repeat steps 2-4 Filtrate2 Combined filtrates Sample (discard) 1. concentrate 2. dissolve residues in 25 m1 hexane Transfer into 100 ml sep. funnel 1. add 25 ml acetonitrile 2. lst acetonitrile/hexane(1:1) partition Hexane fraction Acetonitrile fraction J :3. 2nd acetonitrile/ hexane(l:1) partition Acetonitrile phase 1 1 1 1 1 4 1 l Hexane fraction Combined acetonitrile extracts (discard) 1. concentrate 2. dissolve in acetone GLC/FPD 21 Figure 6 - Reconstructed chromatogram of a standard mixture of organophosphorus pesticides studied Gas chromatographic conditions: Column - 4% SE30 + 6% OVZlO on Chrom. Oven - 140 C: Detector - FPD (P mode), 285 C Carrier - N2, 30 ml/min. Recorder chart speed - 0.2"/min. Solvent alathion Malaoxon AU 0 0 O i i 5 Time (min.) Note : Monocrotophos is not chromatographed because it has about the same retention time as Malathion 22 Figure 7 - Reconstructed chromatogram of a sample of fish analyzed for residues of organophosphorus pesticides Gas chromatographic conditions: Column — 4% SE30 + 6% OV210 on Chrom. Oven — 140 C Detector — FPD (P mode), 285 C Carrier — N2, 30 ml/min. Recorder chart speed - O.2"/min. Solvent ::=== Malaoxon l I 1.1 d_. lb ‘20 Time (min.) 23 - Detector temperature : 285 oC - Column (oven) temperature : 140 0C - Injection port temperature : 280 oC - Nitrogen flow rate : 30 ml/min. - Air flow rate : 115 ml/min. - Helium flow rate : 120 ml/min. - Recorder chart speed : 0.2 in./min. (0.5 cm/min.) Quantitations and concentration levels of each compound were performed under the same conditions as outlined for the 0C pesticides. Therefore, the residue equa- tion (eq. #1) would be applicable to the OPS accordingly, that is, R = ------- (eq. #1) where only "e" spells different, the other parameters remaining the same. In this particular case the Dilution Factor (e) is given by equation #3 as follows : volume of final extract (ul or ml) ul injected Since the final extract (concentrate) contained the entire original sample (no aliquot was taken), the values for the "m1 of extracting solvent" and the "aliquot taken of original extract" in eq. #2 would cancel out to give "e" as in eq. #3 above. 24 3. Fortification/Recovery To evaluate performence of the foregoing analytical procedures, known amounts of different concen- tration levels of pesticides to be determined (2, 5, and 20 times the limits of detection) were added to samples prior to extraction. This process is referred to as fortification. Recoveries (or per cent recovery) were determined at fortification levels ranging from 0.01 to 3.0 ppm for the OC pesticides and from 1.0 to 15.0 ppm for OP chemicals before the blending operations, and the fortified samples were then carried through the above procedures . Per cent recovery was derived from equation #4 below : amount of pesticide obtained % recovery = ---------------------------- x100 (eq. #4) amount of pesticide added Table 3 gives % recovery for every compound of interest. Per cent recovery ranging from 79% to 99.8% are indication of good and dependable analytical procedures regardless of modifications undertaken in our study. 25 Table 3 - Recovery of selected organochlorine and organophosphorus pesticides studied Compound Average percent recovery (%) Lindane 99.8 Aldrin 89.8 Endosulfan I 88.5 Endosulfan II 85.7 p,p'-DDT 90.0 Methoxychlor 79.3 Malathion 91.2 Malaoxon 95.6 Monocrotophos 85.2 26 III. RESULTS AND DISCUSSION 28. IRESULTS Residue levels in fish are expressed as mg/kg wet weight. All of the six organochlorine (OC) pesticides listed in Table 2 were found in all samples of fish studied (Table 4). On no occasion was there any indication of polychlori- f nated biphenyl (PCB) contamination. Residue concentrations varied from trace to a maximum average of 0.593 mg/kg. DDT and Lindane ranked high in the majority of the samples, the main one being DDT in all species at average concentration levels ranging from 0.143 to 0.593 mg/kg wet weight whereas Lindane ranged from 0.443 down to 0.036 mg/kg wet weight. Aldrin, Endosulfan I & II, and Methoxychlor had a highly scattered distribution in all species with an overall average concentration levels of 0.004 up to 0.114 mg/kg wet weight. Among species the highest residue levels of DDT (0.593 mg/kg) were detected in samples of a specimen of Oreochromis niloticus (Nile Tilapia), those of Lindane (0.443 mg/kg) and Methoxychlor (0.114 mg/kg) in samples of Heterotis niloticus (Stone Head), and those of Aldrin (0.076 mg/kg) and Endosulfan I (0.133 mg/kg) in samples of Auchenoqlanis occidentalis (Yellow Catfish) whereas those of Endosulfan II (0.088 mg/kg) were found in samples of Morqurops delicious. All in all, residues of DDT followed by Lindane were constantly higher in samples of every single fish species in comparison with concentration levels of Methoxychlor, Aldrin, and the two isomers of Endosulfan, 27 Asco.-nzv Neo.o Ammo.uazv aeo.o Ammo.uazv owo.o Ammo.umzv mno.o Ammo.lozv oqo.o Aoso.imzv meo.o Ammo.unzv amo.o Aamo.-azv Neo.o Amao.uozv moo.o Hoano%xonuoz Ill|"|'I'-l"II'IIIIIII'II"'|llll'lll'll'ltl‘ Awoo.ime.V omm.o Ammw.lmqm.v mqa.o Amsa.raem.v Nsm.o Akmo.teoH.v me.o AoHe.uawo.v w6~.o Amem.roHs.V mum.o Aowm.-m~s.v 6mm.o Awfim.looo.v qu.o Aoaw.u6m~.v mam.o emou.a.a ANmH.lnzv mwo.o AAmH.IQZV amo.o Ammo.lazv omo.o Aomo.uazv owo.o Asss.uazv mso.o Ammo.sazv moo.o Aeno.uazv mqo.o Amso.xazv aoo.o Aomo.-ozv Goo.o HH cmwasmowsm Aooo.-ozv weo.o Aemo.uozv aoo.o Aoqo.lazv Nmo.o Ammo.xnzv wHo.o Anfio.lnzv oHc.o Aseo.iazv mmo.o Ammo.:azv sso.o Ammo.lozv oHo.o Ammo.uozv moo.o H CNMHDmOUCm Aomo.-ozv mmo.o Ammo.iazv noo.o Aamo.:azv moo.o Aeso.iozv moo.o Ammo.:ozv mmo.o AANo.iozv oso.o Ammo.lazv omo.o Ameo.uozv Hmo.o Ammo.uozv mmo.o Canvas Aqwfi.lmmo.v mmfi.o Amao.smzv «00.0 Aomm.lomH.V mmH.o Amen.-amo.v ams.o Awao.uazv mmo.o Amme.ummfl.v omm.o Amma.uozv mmo.o Aomo.lnzv mqo.o Amom.lmmo.v moH.o scanned Am.mmuem.mHv m.es Aws.omlom.mv m.es Ace.mmuam.av a.ms Aom.msnoo.mv e.a Aem.asumo.mv N.NH Aom.sauo.msv s.ms Amo.oHnoa.sv m.m Amo.osuoa.Nv m.m Amk.smlme.av o.ks msofiofiamp mmouszuoz musombo mccmso coco msuommm: enmSucsw maamfieuoeHEOEEU msoauoafic mound mammaaamw comoumsuoumm HHHHGN memafies newcoocfisw mammafie mooauoaac Aowcmm w .uo>< n a manna 28 w I m ” omen mHmEmm Hm>oH sowumuuaoocoo maamOoouoclcoz I 02 " mmuoz Asma.umoH.V ess.o Ammo.unzv mmo.o Ammo.umzv 0q0.0 uoasokxonuoz Aswm.IwNm.v AaAH.Iazv 0em.0 H00.0 Acme.ImNH.v Aon.Iozv qwm.0 «00.0 Asam.IaAN.v ANeH.Isz emm.0 0A0.0 HH HQQI.0.0 cmeSmowcm AeoH.Ian m00.0 AANM.I~HH.V mmH.o AHAo.Iozv 0m0.0 H cmwasm00cm .Ammo.lozv Amoa.Issm.v Ao.mN-No.msv msoauafisc 0m0.0 mea.0 0.0m mfluonmuo: Ammo.snzv Aams.umao.v ANm.AHIsa.oV meamuameauoo 0A0.0 m00.0 H.0H mficmamococos< A0m0.Imzv Ammm.I0N0.v AH.0HI0A.NHV muouma m~0.0 mAH.0 m.eH mwfiumau Awwcmm a .uo>